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Original Research ARTICLE
Differential hippocampal and retrosplenial involvement in egocentric-updating, rotation, and allocentric processing during online spatial encoding: an fMRI study
- 1LPNC, Université Grenoble Alpes, Grenoble, France
- 2CNRS, LPNC UMR 5105, Grenoble, France
- 3ESPE, Centre de Neurosciences Cognitives, UMR 5229, Université Claude Bernard Lyon 1, Bron, France
- 4Joint Service Unit, UMS 3552, 'IRMaGe', CNRS/INSERM, Grenoble Institute of Neuroscience, Joseph-Fourier University, Grenoble, France
- 5Team 5 "Functional Neuroimaging and Brain Perfusion" of Grenoble Institute of Neuroscience, INSERM/CEA, Joseph Fourier University, Grenoble, France
The way new spatial information is encoded seems to be crucial in disentangling the role of decisive regions within the spatial memory network (i.e., hippocampus, parahippocampal, parietal, retrosplenial,…). Several data sources converge to suggest that the hippocampus is not always involved or indeed necessary for allocentric processing. Hippocampal involvement in spatial coding could reflect the integration of new information generated by "online" self-related changes. In this fMRI study, the participants started by encoding several object locations in a virtual reality environment and then performed a pointing task. Allocentric encoding was maximized by using a survey perspective and an object-to-object pointing task. Two egocentric encoding conditions were used, involving self-related changes processed under a first-person perspective and implicating a self-to-object pointing task. The Egocentric-updating condition involved navigation whereas the Egocentric with rotation only condition involved orientation changes only. Conjunction analysis of spatial encoding conditions revealed a wide activation of the occipito-parieto-frontal network and several medio-temporal structures. Interestingly, only the cuneal areas were significantly more recruited by the allocentric encoding in comparison to other spatial conditions. Moreover, the enhancement of hippocampal activation was found during Egocentric-updating encoding whereas the retrosplenial activation was observed during the Egocentric with rotation only condition. Hence, in some circumstances, hippocampal and retrosplenial structures—known for being involved in allocentric environmental coding—demonstrate preferential involvement in the egocentric coding of space. These results indicate that the raw differentiation between allocentric versus egocentric representation seems to no longer be sufficient in understanding the complexity of the mechanisms involved during spatial encoding.
In order to interact with space, humans need to integrate spatial information according to new objects encountered and/or new motion information (e.g., object- or self-motion, Wolbers and Hegarty, 2010). Encoding and storing spatial information is supposed to rely on the activity of one of these two types of spatial representation (Burgess, 2006): (a) egocentric, centered on the subject, coding for self-to-object relations; (b) allocentric, centered on the environment, coding for object-to-object relations. Various evidence sources, ranging from single neuron recordings in animals (O'Keefe and Dostrovsky, 1971; Andersen et al., 1985) to fMRI and neuropsychological observations (Bisiach and Luzzatti, 1978; Aguirre and D'Esposito, 1999; Holdstock et al., 2000; Mellet et al., 2000; Spiers et al., 2001; Chokron, 2003; Burgess et al., 2006; Fields and Shelton, 2006; Maguire et al., 2006; Shrager et al., 2008), suggest that the two types of spatial representations rely on the occipito-temporo-parietal cortices. Among these regions, the posterior parietal cortex sustains egocentric processing (Chokron, 2003) while the medio-temporal regions are required for the allocentric processing (O'Keefe and Nadel, 1978; Holdstock et al., 2000; Milner and Goodale, 2008; Finke et al., 2011).
The connection proposed between the allocentric processing and the hippocampus is partly due to the strong relationship between the "Place cells" firing and landmark sensory aspects observed in animal studies (e.g., O'Keefe and Dostrovsky, 1971; O'Keefe and Nadel, 1978; O'Keefe and Burgess, 1996). fMRI studies in humans during route navigation congruently revealed that the activation of hippocampal and parahippocampal regions correlated with relevant landmark information (Janzen and Van Turennout, 2004; Janzen and Weststeijn, 2007; Janzen et al., 2007). However, several data sources suggest that the hippocampus is not always involved or necessary for allocentric processing (Aguirre et al., 1996; Bohbot et al., 1998; Galati et al., 2000; Committeri et al., 2004; Bastin et al., 2013). For instance, Bohbot et al. (1998) reported, that the performance of patients suffering from unilateral hippocampal lesions in an adapted version of the Morris water maze task (assessing landmark-based allocentric representation) was similar to that of control subjects. Moreover, as revealed by fMRI, some variants of allocentric processing seem to be supported by a large network of regions including parietal, retrosplenial, and parahippocampal cortices (e.g., Aguirre et al., 1996; Vallar et al., 1999; Galati et al., 2000; Committeri et al., 2004; Zhang and Ekstrom, 2013; for review Galati et al., 2010).
The observable discrepancy between these results and the exclusive allocentric role proposed for the medio-temporal lobe (O'Keefe and Dostrovsky, 1971; O'Keefe and Nadel, 1978) could be due to the way spatial information is encoded. Specifically, beyond the allocentric vs. egocentric distinction relative to the type of spatial relation involved (object-to-object or self-to-object, respectively), the presence or the absence of self-related changes could be a decisive factor in the hippocampal involvement. Using a short-term spatial task, Gomez et al. (2014, 2012) disentangled different sources of information required during encoding. The authors showed that patients suffering from bilateral hippocampal atrophy were impaired for reproducing a trajectory learned on the basis of self-motion information. However, they performed similarly to controls when the trajectory was learned without any self-related changes (i.e., observing the experimenter producing the trajectory). This result is in-line with the hypothesis that hippocampal activity may be observed when self-related changes are required to build spatial representations.
Functional MRI evidence provides indirect support to this last hypothesis. Studies manipulating the type of visual perspective during spatial encoding itself showed that hippocampal and parahippocampal structures were more activated during route navigation than during survey navigation (Shelton and Gabrieli, 2002; Shelton and Pippitt, 2007). Hence, despite previous behavioral reports of a strong connection between survey perspective and allocentric representation formation (Thorndyke and Hayes-Roth, 1982; Allen, 1999), such processing seems less tightly related to hippocampal activity than during route navigation. The enhanced activation of hippocampal and parahippocampal structures for route navigation may reflect the integration of new information generated by self-related changes during the egocentric spatial processing (Shelton and Pippitt, 2007).
Beyond the type of visual perspective during spatial encoding, the participants' spatial processing during each encoding condition should be further controlled to insure that the differential hippocampal activity is related to new self-related changes. Actually, the foreseen retrievals tasks can modulate the strategies (allocentric vs. egocentric) used by participants during encoding itself (Shelton and Gabrieli, 2004). From a methodological point of view, this control can be achieved by warning participants that they will have to perform an object-to-object relation retrieval of the spatial information before they enter the survey perspective encoding. On the contrary, participants can be instructed to encode spatial information to subsequently perform a self-to-object relation retrieval task which will insure that the two tasks will in fact differ on the integration (or not) of self-related changes.
If the presence/absence of self-related change is indeed crucial, the information about how the self-related changes are generated could be relevant in providing a thorough understanding of the mechanisms responsible for the different involvements in the spatial memory network. Specifically, given areas could be involved when a change in head direction modifies orientation cues without updating the observer's location. On the reverse, different ones could be involved when both a change in orientation cues and an update in the observer's position occur.
Regarding the head orientation, studies on single cell recordings in animals revealed that several cells fired selectively when the animal oriented its head in a given direction. Cells' localization was first described in post-subiculum (Ranck, 1984), limbic system (Taube, 1998; Robertson et al., 1999) including the retrosplenial cortex (Cho and Sharp, 2001), and hippocampus (Leutgeb et al., 2000) of animals. In humans, heading disorientation was observed after lesion of the retrosplenial cortex (Aguirre and D'Esposito, 1999). More recently, using single-neuron recordings, Jacobs et al. (2010) showed that human entorhinal cortex could contain path cells encoding in a clockwise or counterclockwise route direction during navigation in circular environments. Functional MRI studies have revealed that retrosplenial activity was modulated by previously learnt variations of the head direction (Baumann and Mattingley, 2010).
Farrell and Robertson (1998) defined as the egocentric-updating processing, changes related to both head orientation (i.e., head direction changes) and observer's spatial position. Several animal studies and models of spatial neuronal networks have involved hippocampal "Place cells" during such spatial changes. In fact, based on neuronal recordings in animals, these models indicate that place cell firing is also related to path integration (Mittelstaedt and Mittelstaedt, 1982), which refers to the ability to return directly to a starting point from any location relying mainly on idiothetic cues (i.e., self-motion cues). Path integration can be considered as a subtype of the general process of egocentric-updating where objects are updated relative to the individual (Burgess, 2008). These models emphasized the need to combine landmark sensory aspects and idiothetic cues to build a place code (e.g., Redish and Touretzky, 1997; McNaughton et al., 2006).
These various approaches suggest that the retrosplenial cortex may be crucial in processing heading changes within egocentric referencing, while the hippocampus may be related to egocentric-updating. No fMRI evidence in humans has clearly disentangled the underlying network subtending these two types of processing.
In the present fMRI study, we aim to characterize the neural substrate of spatial memory encoding. Beyond an allocentric (object-to-object) vs. egocentric (self-to-object) distinction, we further disentangled the egocentric information by varying the types of self-related changes during encoding (egocentric-updating vs. rotation only). As such, we defined three spatial encoding conditions: Allocentric, Egocentric-updating, and Egocentric with rotation only.
One hypothesis is that the cerebral organization evolution of cognitive functions from animals to humans could lead to a different neural specialization of spatial memory encoding in specific areas such as the hippocampal and retrosplenial areas. Alternatively, given the neuropsychological evidence, we expect that spatial cognitive functions share similar structures in animals and humans. Therefore, we can expect that the egocentric-updating condition reveals additional activity in the hippocampal structure compared to the allocentric condition. This supports the idea that the human hippocampal area could also code for self-related changes. Additionally, compared to egocentric-updating, the egocentric with rotation only condition should involve retrosplenial activation, supporting the idea that the human retrosplenial cortex codes specifically for orientation changes.
Materials and Methods
The experiment consisted of two phases: a training phase performed outside the MR magnet and a testing phase performed during the MR examination. The training phase had three objectives: (1) familiarization with the virtual presentation via free navigation in the environment, (2) instructions on how to perform each task, (3) task execution with performance feedback. During the testing phase, three spatial encoding conditions and a control condition were performed during a block-design paradigm.
Eighteen adults (age range 17–30, average age 23.5 SD 2.5, 13 males) took part in the experiment. All participants were right-handed according to the Edinburgh Handedness Inventory (Oldfield, 1971). They had normal or corrected-to-normal vision and no history of neurological or psychiatric disorders. They gave their informed written consent for the experiment and the study was approved by the local ethic committee (CPP n°08-CHUG-10, 20/05/2008).
Spatial Environment, Spatial Layouts, and Encoding Films
A Virtual Reality Markup Language (VRML) was used to create the spatial environment. This virtual environment was a 9 × 9 × 3 m room with stone walls. Tile flooring for the southern half and wood flooring for the northern half provided easy orientation in the environment. Each environment contained 6 objects. Twenty different spatial layouts were created by randomly changing the 6 objects' positions. Spatial layouts presenting familiar configurations such as lined-up objects were removed. An in-house VRML-Prime software was created (http://webu2.upmf-grenoble.fr/LPNC/membre_eric_guinet) with the following characteristics: (1) joystick-navigation in the environment, (2) online joystick data recording, and (3) joystick-data-based feedback. To control what the participants see, the VRML-Prime was used to create films of the pre-determined layouts. VRML-Prime made it possible to switch independently between: (1) the visual perspective of the environment (aerial or ground-level) and (2) the type of camera movement in the environment (i.e., rotation only, route navigation, or sequential map presentation).
Three visual spatial encoding conditions were created (See Figure 1): Allocentric (A), Egocentric-updating (EU), and Egocentric with Rotation Only (ERO). For the A films (See Video 1, Gomez, 2014a, http://figshare.com/articles/Allocentric_video_example/902846), a survey perspective (i.e., a bird's eye perspective, looking straight down, with 15% of the environment visible at any moment) was adopted; the camera scanned the map of the environment with an unchanging orientation. This viewpoint was selected to allow the average amount of environment visible at any given point to be equivalent to the ground-level condition. In addition, pilot studies have indicated that this viewpoint induced participants to spontaneously perceive this as "the map" condition. For the EU films (See Video 2, Gomez, 2014b, http://figshare.com/articles/Egocentric_updating_video_example/902847), a ground-level 1st person perspective was adopted; the camera movement was used to simulate the view of an observer walking through the environment. For ERO films (See Video 3, Gomez, 2014c, http://figshare.com/articles/Egocentric_with_Head_rotation_video_example/902848), a ground-level 1st person-perspective (i.e., looking straight from the perspective of a 1 m 80 tall observer) was adopted; the camera movement offered a rotation of 180°, from a fixed location (i.e., one side of the room). Each one of the 20 spatial layouts, resulted in three encoding films that lasted 17700 ms. A fourth control category of films was created using a mix of the ERO, EU, and A films: about 6 s of each of the three films were selected and pooled together in a random order, thus resulting in a 17700 ms control film. The camera movement simulated a path of about 20 m with one or two direction changes. Given that self-motion perception in virtual environments is most accurate when displacement velocity resembles natural locomotion, we adopted a speed of a moderately paced walk (approximately 1.5 m/s). The path and speed for the aerial and ground films were the same. The layout configuration presented in each movie was always different and contained an average of 5 objects (range 4–6, as all 6 objects from an environment were not visible in each movie). The encoding conditions for a given spatial layout were randomly assigned for each participant.
Figure 1. A trial of each experimental condition performed during the experimental phase inside the MR imager is presented. Each of the four conditions, A, Allocentric; EU, Egocentric-updating; ERO, Egocentric with Rotation Only; and C, Control; was divided into an encoding phase and a test phase. In the encoding phase, participants saw a presentation of the environment's layout: (A) from a survey perspective, (EU) from a 1-st person ground level perspective with navigation, (ERO) from a 1-st person ground level perspective with a rotation only (C) with a mix of perspectives. In the test phase, participants had to point in the direction of an object using a joystick: (A) from the location of another object, (EU and ERO) from their body position; in condition C, they pointed straightforward.
Experimental Conditions: The Spatial Tasks
Each spatial task trial was composed of an encoding and an immediate test phase (See Figure 1).
In the encoding phase, a film (one of the four types A, EU, ERO, and control, C) was presented to the participants and they were asked to encode and update with the sequential presentation the objects' positions of the objects in the environment. The A film presented a survey perspective of the environment, the ERO movie presented a 1st person rotation from an unchanged location, the EU movie presented a 1st person perspective navigation in the environment and the C movie was a mixture of the three spatial movies which made the control for purely visual stimulations possible. The film presentation was preceded by a 300 ms fixation point included in the "encoding phase." Participants' spatial knowledge was then tested to control for attention and spatial processing during the encoding phase.
In the test phase, participants were instructed to locate the direction of an object, and to point in its direction with the joystick when prompted. To enhance each type of spatial processing during the encoding phase, participants were told beforehand which test will follow. In the A condition, the A referencing was maximized by asking participants to point in the direction of an object relative to another object in the fixed referencing of the environment (i.e., object-to-object pointing relative to the fixed orientation of the map). Participants were instructed to imagine that they were sketching the direction on the map of the environment. The egocentric referencing was maximized by asking participants to point in the direction of an object relative to their position (i.e., self-to-object pointing), in the EU and ERO conditions.
Each test phase of a trial lasted 9 s: first a question screen was presented during 6 s, and then a joystick picture was presented during 3 s. The joystick picture (320 × 256 pixels) presented on a black screen, served to prompt the participants' response and to collect behavioral performance. The question screen presented (1) the origin of the spatial referencing and (2) the object-to-be-pointed-to on a black background. The origin of the spatial referencing was presented by a 1st person point of view of the environment in the egocentric referencing. The participant could thus simulate its position in the environment from the perspective seen (the point of view was extracted from the previous film). In the A referencing, the point of view was replaced by the presentation of a second object with contextual information from the background. Both the origin and the object-to-be pointed-to were selected from the first and second half of the film respectively, and separated by a minimum of 9 s in the film presentation. They were presented centered on a black background, with the origin at the top (896 × 670 pixels picture), and the object-to-be-pointed-to at the bottom (512 × 410 pixels picture). For condition C, the test was aimed to control for motor preparation, and participants were asked to point straight in front of them (i.e., 0° angle).
Experimental Procedure
As mentioned previously, the experimental procedure was composed of two phases: a training phase outside the magnet and an experimental phase during fMRI.
Training phase outside the MR imager
Participants were first asked to navigate freely within an environment designed for this phase using the VRML-prime software. The purpose of this step of the training procedure was to familiarize participants with the use of the joystick, the virtual desktop presentation and the 6 objects.
Then, participants were trained in the experimental conditions previously described. An example of each spatial task was presented (A, EU, ERO, and C), and participants were instructed how to perform each of the four tasks. During the training phase, the test phase of a trial was completed by a visual feedback on the pointing response (from online data recording). In the feedback of the A training condition, the feedback screen displayed the entire map of the environment, with (1) a green arrow (i.e., correct answer) pointing from the origin object toward the expected target object and (2) a blue arrow (i.e., given answer) pointing from the origin object toward the given direction. The error-angle was thus shown as the angle between each of these arrows. The smaller the angle, the more precise the response. This feedback procedure proved successful since all participants were subsequently able to perform the tasks with relatively low pointing errors. In the feedback of the EU and ERO training conditions, a 1st-person perspective video was presented, showing a rotation from a fixed location. The camera was placed on the original location facing the given answer direction. It then rotated until it was in line with the direction of the expected answer. It thus provided an angular distance between the correct and the given answer. Thus, the bigger the error-angle was, the greater the video rotation. We performed training to eliminate learning and habituation effects. Participants were trained using 10 trials of each spatial task.
Experimental phase inside the MR imager
Procedure. The participants were told that they had to perform the same tasks as before but in the scanner. The trials were displayed using E-prime software (E-prime Psychology Software Tools Inc., Pittsburgh, PA, USA) synchronized via the signals from the scanner. A back-projection screen, received the images, and a mirror, attached to the head coil, allowed the participant to view the screen. After being positioned within the magnet, participants were shown an example of each trial performed during the training phase without concurrent fMRI recording to familiarize them with performing the task while in a horizontal position. Participants indicated their response on an MR-compatible joystick that was positioned on the upper part of the right leg. Participants moved the joystick with the right hand and pushed a button with the left hand when the joystick was oriented in the desired direction. Angle errors were recorded during the test phase using VRML-prime. Participants were not given any feedback about their performance. All participants were presented with the spatial tasks in the same block order as in the training phase (e.g., A, ERO, EU, and C, counterbalanced across participants). When grouping the encoding and test phase, each trial lasted 27 s with an inter-trial interval of 3 s. Participants underwent two functional scans (of four blocks each) with five trials of each conditions. The duration of the functional scan was thus 9 min, following a brief period during which the scanner reached equilibrium. In this phase, five trials of each condition were consecutively presented in a random order and formed a block. The order of the blocks was repeated twice for each participant. The block order was counterbalanced across participants. For each functional scan, 200 functional volumes were acquired.
MR acquisition. The experiment was performed in a whole-body 3T MR scanner (Bruker MedSpec S300) with 40 mT/m gradient strength. For functional scans, the manufacturer-provided gradient-echo/T2* weighted EPI method was used. Thirty-nine adjacent axial slices parallel to the bi-commissural plane were acquired in the interleaved mode. Slice thickness was 3.5 mm. The in-plane voxel size was 3 × 3 mm (216 × 216 mm field of view acquired with a 72 × 72 pixels data matrix; reconstructed with zero filling to 128 × 128 pixels). The main sequence parameters were: TR = 3 s, TE = 30 ms, flip angle = 77°. To correct images for geometric distortions induced by local B0-inhomogeneity, a B0 fieldmap was obtained from two gradient echo data sets acquired with a standard 3D FLASH sequence (ΔTE = 9.1 ms). The fieldmap was subsequently used during data processing. Finally, a T1-weighted high-resolution three-dimensional anatomical volume was acquired, by using a 3D Modified Driven Equilibrium Fourier Transform (MDEFT) sequence (field of view = 256 × 224 × 176 mm; resolution: 1.333 × 1.750 × 1.375 mm; acquisition matrix: 192 × 128 × 128 pixels; reconstruction matrix: 256 × 128 × 128 pixels).
Data processing. Data analysis was performed by using the general linear model as implemented in SPM5 (Welcome Department of Imaging Neuroscience, London, UK, www.fil.ion.ucl.ac.uk/spm) where each event was modeled using a hemodynamic function model. Data analysis started with the spatial pre-processing steps. First, the functional volumes were time-corrected (slice timing) with the 19th slice as the reference, in order to correct for effects induced by the different acquisition time of each slice within the functional volume. Subsequently, all volumes were realigned to correct for head motion using rigid body transformations. After discarding the first four slices, while the scanner reached equilibrium, the first volume of the first ER-fMRI session was taken as the reference volume (i.e., this volume was originally the fifth volume). Unwarping was performed by using the individually acquired fieldmaps, to correct for interaction between head movements and EPI distortions. T1-weighted anatomical volume was co-registered to mean images created by the realignment procedure and was normalized to the MNI space using a trilinear interpolation. The anatomical normalization parameters were subsequently used for the normalization of functional volumes. Finally, each functional volume was smoothed by an 8-mm FWHM (Full Width at Half Maximum) Gaussian kernel to improve differences in intersubject localization. Time series for each voxel were high-pass filtered (1/128 Hz cutoff) to remove low frequency noise and signal drift.
Statistical analysis of neuroimaging data. After spatial pre-processing steps, the statistical analysis was first performed separately on the functional images acquired for each task during the first 18 s of each trial (reflecting the encoding phase of a trial). The cerebral activity during the test phase of each trial was not included in the present study, thus, the functional images from the test phase were discarded from the analysis. The conditions of interest (A, EU, ERO, and C) were modeled as 4 regressors convolved with a canonical hemodynamic response function (HRF). The movement parameters derived from the realignment corrections (3 translations and 3 rotations) were also entered in the design matrix as additional factors. The trial performance (i.e., error angle) was entered as a parametric modulator of each trial. The general linear model was then used to generate the parameter estimates of the activity for each voxel, each condition and each participant. Statistical parametric maps were generated from linear contrasts between the HRF parameter estimates for the different experimental conditions. The spatial resolution of the statistical parametric maps was the same as the spatial resolution of the functional MR acquisition (3 × 3 × 3.5 mm). Several statistical analysis have been performed as follows: Approximate AR(1) autocorrelation model estimated at omnibus F-significant voxels (p < 0.001), was used over the whole brain. Specific effects were tested with the appropriate linear contrasts of the parameter estimations, and the corresponding contrast images were subsequently entered into a random effects analysis.
Group analysis was performed with the contrast images provided by the individual analyses (Friston et al., 1998). The random effects analysis at the group level can be divided as follows depending on the theoretical question underlying the analysis:
• Global spatial encoding network
First, the main contrasts assessed the correlates of spatial encoding for each spatial condition A, EU, ERO vs. the C condition. Then, the conjunction analysis assessed the neural correlates common to all spatial encoding tasks. For this purpose, we applied an inclusive masking for all three main contrasts (Friston et al., 2005).
• Differenciating neural correlates of spatial encoding conditions
First, the main contrasts assessed the questions of interest in this study. EU vs. A provides cerebral substrate engaged by egocentric referencing and due to self-motion information (i.e., idiothetic). A vs. EU provides information about landmark-based information (i.e., allothetic). ERO vs. EU provides information related to the cerebral substrate of rotation processing while EU vs. ERO reveals cerebral network of the egocentric-updating due to self-motion information. We also calculated the contrasts: ERO vs. A and A vs. ERO.
Subsequently, a multiple regression analysis was performed. Specifically, we included individual contrast images (one image per participant) reflecting the mean activation for each previously mentioned contrasts.
Moreover, we also performed a correlation analysis to assess the task-specific regions modulated by the performance. For this purpose, we calculated correlations between the BOLD signal in task-specific regions and the performance of task-execution. This analysis is supposed to reflect the regions which were closely related to spatial processing (Maguire et al., 1998; Wolbers and Buchel, 2005; Wolbers et al., 2007, 2008; Baumann et al., 2010). The evaluated performance was the average angle error size (i.e., difference between the expected pointing direction and the observed pointing direction). The average error size for each participant in each condition was the variable included in a multiple regression analysis. As the correct performance is reflected by the small size of the angle error, the regions showing anti-correlation between BOLD and performance, were considered specifically related to the achievement of spatial processing.
For all our analyses, we used an extent threshold of 10 contiguous voxels, and a voxel-level height threshold of p < 0.001, uncorrected for contrasts (height threshold: T = 3.55). The extended threshold of 10 voxels was determined empirically and then used for all contrasts. However, as advised by Bennett et al. (2009) FDR threshold are provided in the Tables to provide corrected values detailing the prevalence of false positives. An in-house modification of the "spm_list.m" file, including a non-linear transform of MNI to Talairach (http://imaging.mrc-cbu.cam.ac.uk/imaging/MniTalairach), allowed us to visualize both MNI and Talairach coordinate in the SPM result. From the displayed Talairach coordinate, anatomical locations were determined using Talairach Daemon software (http://www.talairach.org/, see also Lancaster et al., 2000), and checked with the Talairach and Tournoux paper atlas (Talairach and Tournoux, 1988).
Analyses were also performed with small volume correction (SVC) for multiple comparisons (P < 0.05, corrected) in ROIs. In this study, we were particularly interested in the role of the hippocampus and retrosplenial areas. Therefore, predefined anatomic labels (WFU PickAtlas Tool, http://www.fmri.wfubmc.edu/download.htm) were applied to identify each of the following ROI: hippocampus (left and right) and Brodmann area 30, 31 (left and right).
Behavioral Results
Table 1 summarizes the performance values obtained for each condition. An ANOVA conducted on the angular error with conditions as a within-subject variable (A, EU, ERO, C) showed a main effect for experimental conditions [F(3, 51) = 35.2, MSE = 121.64, partial η2 = 0.67, p < 0.001]. Specific contrast of interest A vs. EU, EU vs. ERO, and ERO vs. A were not statistically significant [F(1, 17) = 1.76, MSE = 98.63. p = 0.20, and F(1, 17) = 3.60, MSE = 186.9. p = 0.07, and F(1, 17) = 1.15, MSE = 143.06. p = 0.30, respectively]. Post-hoc Bonferroni comparisons only showed that smaller pointing errors were made in the C condition (mean = 3.4°, SD = 3.5°) compared to all other spatial conditions (mean = 33.4°, SD = 13.5°, ps < 0.001, all other ps are non-significant).
Table 1. Average angle size error (with standard deviations in parentheses) in the object pointing task for each condition.
A correlation matrix of spatial performance for each spatial condition revealed a significant correlation between performance values in A and EU conditions (r = 0.5, p < 0.05). Participants who performed well in the A condition were also good performers in the EU condition. However, the ERO performance was not significantly correlated with A or with EU performance which suggests that those who performed well in the A or EU condition did not necessarily perform well in the ERO condition.
fMRI Results
Global spatial encoding network
Allocentric (A) encoding. As illustrated in the Supplementary Material file—Table S1, the contrast A vs. C revealed a large cluster of 4128 activated voxels with an activation peak located within the left cuneus (BA 17). The activation included the bilateral temporal lobe, the bilateral hippocampus, the bilateral parietal lobe (superior parietal lobule, BA 7 and inferior parietal lobule, BA 40), frontal areas (BA 4), and the cerebellum.
Egocentric-updating (EU) encoding. As illustrated in the Supplementary Material file—Table S2, the contrast EU vs. C revealed a large cluster of 4086 activated voxels with an activation peak within the left hippocampus. Other activations were observed in the bilateral parietal lobe (superior parietal lobule, BA 7 and inferior parietal lobule, BA 40), cingulate gyrus (BA 31), the right frontal area (BA 4), and the cerebellum.
Egocentric with Rotation Only (ERO) encoding. As illustrated in the Supplementary Material file—Table S3, the contrast ERO vs. C revealed a large cluster of 5381 activated voxels with an activation peak located within the left cuneus (BA 17), extending within the bilateral temporal lobe. Other activations were observed in the bilateral parietal lobe (precentral gyrus, BA 4; gyrus-post-central, BA 2, 3), the frontal areas (BA 4, 6), and the cerebellum.
Conjunction analysis. The conjunction analysis identified the common activation (Table 2) of spatial encoding. They were located in the right cuneus, BA 18, right hippocampus and left superior parietal lobule, BA 7.
Table 2. Activated regions for spatial encoding commonly activated for A, EU, ERO, vs. C (Conjunction analysis, statistical threshold: uncorrected p < 0.001, cluster extent: k ≥ 10 voxels).
Differenciating neural correlates of spatial encoding conditions
The following contrasts revealed activation for the spatial condition, without considering the retrieval performance of subjects.
Egocentric-updating compared to Allocentric condition (Table 3, Figure 2). EU vs. A revealed activation in bilateral frontal regions (such as the superior and middle frontal gyri, BA 6, 8, 9, 32, 46), left thalamus, and bilateral cerebellum. More importantly, we observed that the right hippocampus was specifically activated for EU vs. A.
Table 3. Activated regions due to self-related changes in location and orientation during spatial encoding, provided by the contrast: (1) EU vs. A for the upper part of the table; (2) A vs. EU for the lower part of the table (random-effect analysis, uncorrected p < 0.001, k ≥ 10 voxels).
Figure 2. Shows regions reported in Table 3 projected onto 3D anatomical template (random-effect analysis, statistical threshold: uncorrected p < 0.001, cluster extent: k ≥ 10 voxels). Activations are provided by a random effect analysis, for (1) EU spatial encoding when contrasted with the A condition (on the left), and (2) A spatial encoding when contrasted with EU (on the right). Clusters are projected on 2D anatomical slices (T1-template image) in neurological convention. L is left hemisphere. The color scale represents the t-value of activation.
A vs. EU revealed an activation of the bilateral cuneus (BA 18, 19).
We then tested our a-priori hypotheses about a differential hippocampal activation pattern for both conditions (FDR small-volume corrected, p < 0.05) and observed that the right hippocampus was activated in the EU condition (Table 6).
Egocentric with Rotation only compared to Egocentric-updating condition (Table 4, Figure 3). ERO vs. EU activated the right retrosplenial cortex (BA 30), superior parietal lobule (BA 7). Supplementary activity was observed in the bilateral middle and medial frontal gyrus (BA6, 32), right thalamus, and bilateral cerebellum.
Table 4. Activated regions for differential effects within two types of Egocentric spatial encoding, rotation changes vs. orientation and location changes.
Figure 3. Shows regions reported in Table 4 projected onto a 3D anatomical template (random-effect analysis, statistical threshold: uncorrected p < 0.001, cluster extent: k ≥ 10 voxels). On the left, ERO is contrasted to EU; on the right, EU is contrasted to ERO. The retrosplenial activity, along with the superior parietal gyrus activations are highlighted for the right contrast. The right hippocampal activity (cluster extent k = 8 voxels), along with the superior and inferior temporal gyrus activations are highlighted on the right contrast. These clusters are projected onto 2D anatomical slices (T1-template image) in neurological convention. L is left hemisphere. The color scale represents the t-value of activation.
EU vs. ERO revealed an activation of the right hippocampus (8 voxels), left superior parietal lobule (BA 5), and right middle and superior temporal gyrus (BA 21, 22). Supplementary activity was observed in the bilateral precentral gyrus (BA 4) and cerebellum.
We then tested our a-priori hypotheses about a differential retrosplenial and hippocampal activation pattern for both conditions (FDR small-volume corrected, p < 0.05). We observed that the right Brodmann area 30 was activated in the ERO condition while the right hippocampus was activated in the EU condition (Table 6).
Allocentric compared to Egocentric with Rotation only condition (Table 5, Figure 4). A vs. ERO also revealed activation of the bilateral cuneus (BA 18, 19). Supplementary activations were observed in the left superior temporal gyrus (BA 34, 38), right superior (BA 5) and inferior (BA 40) parietal lobule, bilateral frontal (pre-central gyrus, BA 4), and right cerebellum.
Table 5. Activated regions provided by the contrast: (1) A vs. ERO for the upper part of the table; (2) ERO vs. A for the lower part of the table (random-effect analysis, uncorrected p < 0.001, k ≥ 10 voxels).
Figure 4. Shows regions reported in Table 3 projected onto a 3D anatomical template (random-effect analysis, statistical threshold: uncorrected p < 0.001, cluster extent: k ≥ 10 voxels). Activations are provided by a random effect analysis, for the A spatial encoding when contrasted (1) with the EU condition (on the left), and (2) with the ERO condition (on the right). Occipital activity in the cuneus which is observed in both contrasts is highlighted. These clusters are projected onto 2D anatomical slices (T1-template image) in neurological convention. L is left hemisphere. The color scale represents the t-value of activation.
ERO vs. A revealed specific activation in the right retrosplenial cortex (BA 30) extended to the bilateral posterior cingulate (BA 31) and left inferior parietal lobule (BA 40). Supplementary activities were observed in the bilateral frontal regions (superior and middle frontal gyri, BA 6, 8, 9, 32, 46), left thalamus, and bilateral cerebellum.
We then tested our a-priori hypotheses about a differential retrosplenial activation pattern for both conditions (FDR small-volume corrected, p < 0.05). We observed that the right Brodmann area 30 and Brodmann area 31 were activated in the ERO condition (Table 6).
Table 6. Hippocampal and retrosplenial activation in the FDR small-volume corrected analysis (p < 0.05) of spatial encoding conditions.
Correlation analysis. Among the A-specific regions, no regions were anticorrelated with the pointing errors. Among the EU-specific regions, only the junction between the right hippocampus and caudate nucleus (peak coordinates: 21, −40, 8, T = 5.47, see Figure S1 from Supplementary Material) was significantly anticorrelated with the pointing errors (r = −0.87). A small-volume correction analysis (FWE corrected, p < 0.05) on the right hippocampus confirmed that the right hippocampus was significantly correlated (peak coordinates: 16, −33, 11). Finally, among the ERO-specific regions, no regions were anticorrelated with the pointing errors.
Our results confirmed the activation of a large occipito-parieto-temporal network common for spatial encoding conditions (e.g., Ghaem et al., 1997). Beyond the classical allocentric-egocentric distinction, the type of referencing induced by the visual perspective during encoding and the task-demand, allowed the identification of essential regions within the spatial memory network. The major result was the specific involvement of two areas during the self-related conditions, which were the retrosplenial cortex for orientation changes, and the right hippocampus for self-location changes.
The first crucial result of the study reveals an enhanced retrosplenial activity when contrasting ERO to EU. Encoding new spatial information during the ERO condition only relied on rotation changes, while, during the EU condition, the weight of rotation information during the integration of new spatial information was weakened by the concomitant change of location. This result therefore provides evidence that the retrosplenial cortex in humans specifically processes changes in head direction. Moreover, although the performances for A and EU conditions were correlated, the ERO performance was not correlated with the allocentric or the egocentric-updated performance. Therefore, participants that were good at processing head direction changes were not necessarily good at processing location changes or allocentric landmark-based information. This supports the idea that relatively independent cognitive mechanisms are at play in those tasks.
Although the retrosplenial cortex (BA 30) is known to contain head-direction cells in rodents (Cho and Sharp, 2001; Sharp et al., 2001; Wiener and Taube, 2005), only limited experimental evidence was reported in humans. Concerning clinical evidence, it has been suggested that right retrosplenial lesions lead to pure topographical disorientations (Valenstein et al., 1987; Yasuda et al., 1997; Aguirre and D'Esposito, 1999; Maguire, 2001; Vann and Aggleton, 2004; Vann et al., 2009), reflecting a type of heading disorientation (i.e., an inability to represent the orientation direction with respect to the external environment).
Functional MRI studies have provided evidence suggesting that the retrosplenial cortex was strongly activated during scene viewing, scene imagery, and scene memory (Epstein et al., 2007). Moreover, a meta-analysis of navigation fMRI studies reported bilateral involvement of BA 30 in humans (Maguire, 2001; for an extensive review see Vann et al., 2009). Congruently, we report a common spatial encoding network encompassing the bilateral retrosplenial cortex (when compared to control condition). Overall, these results make it possible to pinpoint the implication of the retrosplenial region in spatial processing.
However, with regards to head-direction, only one fMRI study aimed at identifying neural correlates of orientation This study reported a region situated close to the anatomically defined retrosplenial cortex (BA 30, see Maguire, 2001, for a review), in BA 31 (Baumann and Mattingley, 2010). In our current study we report for the first time the activation of the right retrosplenial cortex (BA 30) for the rotation. This result is in agreement with animal studies of spatial encoding. Additionally, we observed the BA 30 activation during ERO vs. A contrast, next to the bilateral posterior cingulate (BA 31), in line with Baumann and Mattingley (2010)'s findings.
An influential model of spatial memory proposes that the retrosplenial cortex supports, in humans, stimulus conversion from an egocentric reference frame (in the parietal cortex) to an allocentric reference frame (in the medial temporal regions) and vice versa (Burgess et al., 2001a,b; Burgess, 2008; Vann et al., 2009). However, with regards to retrosplenial function, this model was mainly based on animal studies evidence. Few fMRI studies have reported retrosplenial activity congruent with this model (Lambrey et al., 2012; Zhang et al., 2012). Our result supports the hypothesis of retrosplenial cortex encompassing cells activated for head-direction in humans. Neuronal electrical recordings in humans are necessary to provide further direct support of the retrosplenial involvement.
The second crucial activated region reported in this study is the right hippocampal area. It was preferentially involved in spatial encoding, which required an online integration of self-location transformation in the spatial representation, rather than encoding the schematic spatial relation amongst objects (O'Keefe and Nadel, 1978). In fact, the contrast of the EU condition to the A condition significantly enhanced the right hippocampal activity. This result is in line with previous observations of right hippocampal activation during path integration encoding in humans (Wolbers et al., 2007). Nonetheless, during retrieval, the left hippocampal structure might be further involved, as suggested by Iglói et al. (2010). Moreover, this hippocampal activation is congruent with Shelton and Gabrieli (2002)'s results which compared cerebral activities during encoding from a route perspective and a survey perspective. They observed bilateral hippocampal activation specific to the route condition. Differences in the type of subsequent task-demand (recognition task vs. spatial self-to-object pointing in this study) and the environment complexity (large with multiple boundaries and 17 landmarks vs. medium with an average of 5 landmarks in this study) can account for the right lateralization of the hippocampal activation in the present study.
Moreover, the modulation by between-subject retrieval performance of a hippocampal-caudate cluster observed in the correlation analysis indicates a critical role for these structures in the subsequent task-resolution. During encoding, good egocentric-updating pointers showed stronger hippocampal activation (extending to caudate). The hippocampal activity has previously been reported to correlate to accuracy of self-location or self-orientation, in a path integration task (Wolbers et al., 2007, using an egocentric pointing task) or during active navigation, (Maguire et al., 1998; Hartley et al., 2003). We therefore interpret this hippocampal activity in good memory performers as highlighting the importance of the right hippocampus for processing self-location changes.
Because the EU vs. A contrast provides the neural substrate engaged by the egocentric-updating and due to self-motion information (i.e., idiothetic) rather than landmark-based information, we suggest that the right hippocampal region may be more specifically devoted to location related self-related changes. Additionally, because allocentric processing such as landmarks and room geometry processing were likely to occur in the EU condition as well, it is possible that the hippocampal involvement could also arise from the relative flexibility of the representation constituted during the EU encoding compared to the more schematic representation during the A encoding. In fact, Zhang and Ekstrom (2013) have shown that such differences in the use of an allocentric representation could be responsible for a differential hippocampal involvement in favor of a flexible representation. As this right hippocampal activity is also observed when directly contrasting EU vs. ERO within egocentric referencing, it is likely that self-motion location change in the EU condition plays a crucial role in this hippocampal activation. This additional evidence supports the hypothesis that, in humans, location self-related changes involve the right hippocampal region.
This result is new and central, as a wide body of evidence from animal literature, and in particular the discovery of place cells, have led to the proposal that the hippocampal structure underlies cognitive mapping in an allocentric reference frame (O'Keefe and Dostrovsky, 1971; O'Keefe and Nadel, 1978; O'Keefe et al., 1998). In humans, single cells neuron recordings have shown that place cells exist in the human hippocampus (Ekstrom et al., 2003).
In the present experiment, we report substantial hippocampal activation when participants must encode allocentric landmark-based spatial information (there is a significant activation of the hippocampus in the A encoding condition compared to the C encoding condition). However, given previous neuropsychological results, we expected that the hippocampal structure could be enhanced when idiothetic self-location changes are involved (Worsley et al., 2001; Philbeck et al., 2004; Gomez et al., 2012). From a behavioral perspective, participants who performed well in the EU condition also performed well in the A condition. Together with the conjunction results, this observation supports the hypothesis that a unique structure, the hippocampus, may underlie different spatial processing, in the present case, egocentric-updating and allocentric processing, which could explain this correlational effect.
Overall, these findings support models emphasizing the need to combine allocentric landmark sensory aspects to egocentric-updating to form the place code of Place cells (e.g., Redish and Touretzky, 1997). Several proposals have suggested that the hippocampus might be involved in complementary types of spatial processing such as path integration processing (Redish and Touretzky, 1997; Whishaw et al., 1997, 2001; Worsley et al., 2001; Wolbers et al., 2007). These models have underlined that the hippocampal structure is well-suited to underlie such spatial processing as it is interconnected to various structures making it possible to represent, together, the body's position: it receives input from systems assumed to represent head-direction (such as the retrosplenial cortex, and thalamus), and from systems processing self-motion, such as the human motion complex (Redish and Touretzky, 1997; Wiener and Taube, 2005).
In closing, our results refine previous findings on navigation in large-scale environments (Maguire et al., 1998; Ekstrom et al., 2003; Hartley et al., 2003) by suggesting that hippocampal activity should be extended to represent self-related location transformations. In keeping with existing models (Burgess et al., 2001a; Buzsaki, 2005), we suggest that, in humans, during spatial encoding: (1) the retrosplenial cortex processes heading-direction; (2) the hippocampus processes self-related location transformations and combines it with landmark information to allow place computations. Such a combination would allow for correcting accumulated errors during egocentric-updating.
To conclude, this experiment highlighted that, in some circumstances determined by the experimental conditions, hippocampal and retrosplenial structures known to be involved in allocentric environmental coding (Galati et al., 2010) could demonstrate a preferential involvement in an egocentric coding of space. Consequently the differentiation between allocentric vs. egocentric representation no longer seems to be sufficient in understanding the complexity of the mechanisms at play during spatial encoding.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Supplementary Material
The Supplementary Material for this article can be found online at: http://www.frontiersin.org/journal/10.3389/fnhum.2014.00150/abstract
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Whishaw, I. Q., Hines, D. J., and Wallace, D. G. (2001). Dead reckoning (path integration) requires the hippocampal formation: evidence from spontaneous exploration and spatial learning tasks in light (allothetic) and dark (idiothetic) tests. Behav. Brain Res. 127, 49–69. doi: 10.1016/S0166-4328(01)00359-X
Whishaw, I. Q., McKenna, J. E., and Maaswinkel, H. (1997). Hippocampal lesions and path integration. Curr. Opin. Neurobiol. 7, 228–234. doi: 10.1016/S0959-4388(97)80011-6
Wiener, S. I., and Taube, J. S. (2005). Head Direction Cells and the Neural Mechanisms of Spatial Orientation (Bradford Books). Cambridge, MA: The MIT press.
Wolbers, T., and Buchel, C. (2005). Dissociable retrosplenial and hippocampal contributions to successful formation of survey representations. J. Neurosci. 25, 3333. doi: 10.1523/JNEUROSCI.4705-04.2005
Wolbers, T., and Hegarty, M. (2010). What determines our navigational abilities? Trends Cogn. Sci. 14, 138–146. doi: 10.1016/j.tics.2010.01.001
Wolbers, T., Hegarty, M., Büchel, C., and Loomis, J. M. (2008). Spatial updating: how the brain keeps track of changing object locations during observer motion. Nat. Neurosci. 11, 1223–1230. doi: 10.1038/nn.2189
Wolbers, T., Wiener, J. M., Mallot, H. A., and Buchel, C. (2007). Differential recruitment of the hippocampus, medial prefrontal cortex, and the human motion complex during path integration in humans. J. Neurosci. 27, 9408–9416. doi: 10.1523/JNEUROSCI.2146-07.2007
Worsley, C. L., Recce, M., Spiers, H. J., Marley, J., Polkey, C. E., and Morris, R. G. (2001). Path integration following temporal lobectomy in humans. Neuropsychologia 39, 452–464. doi: 10.1016/S0028-3932(00)00140-8
Yasuda, Y., Watanabe, T., Tanaka, H., Tadashi, I., and Akiguchi, I. (1997). Amnesia following infarction in the right retrosplenial region. Clin. Neurol. Neurosurg. 99, 102–105. doi: 10.1016/S0303-8467(97)80005-4
Zhang, H., Copara, M., and Ekstrom, A. D. (2012). Differential recruitment of brain networks following route and cartographic map learning of spatial environments. PLoS ONE 7:e44886. doi: 10.1371/journal.pone.0044886
Zhang, H., and Ekstrom, A. (2013). Human neural systems underlying rigid and flexible forms of allocentric spatial representation. Hum. Brain Mapp. 34, 1070–1087. doi: 10.1002/hbm.21494
Keywords: hippocampus, retrosplenial, allocentric, egocentric, navigation, rotation
Citation: Gomez A, Cerles M, Rousset S, Rémy C and Baciu M (2014) Differential hippocampal and retrosplenial involvement in egocentric-updating, rotation, and allocentric processing during online spatial encoding: an fMRI study. Front. Hum. Neurosci. 8:150. doi: 10.3389/fnhum.2014.00150
Received: 22 November 2013; Accepted: 27 February 2014;
Published online: 20 March 2014.
Edited by:Arne Ekstrom, University of California, Davis, USA
Reviewed by:Rebecca Knight, University of Hertfordshire, UK
Hui Zhang, University of Bonn, Germany
Copyright © 2014 Gomez, Cerles, Rousset, Rémy and Baciu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Alice Gomez, Centre de Neurosciences Cognitives, UMR 5229, 67 Boulevard Pinel, 69675 Bron Cedex, France e-mail: email@example.com


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by Amanda Pavot
I have returned with news!
First, this is going to be my last blog post of the semester. However(!), the current plan is to continue to make blog posts about the project as it goes on. It's just going to be different people writing. Maybe we'll get more perspectives other than mine! Keep checking the blog for more updates!
More importantly, the Rehousing has started! It's being divided into a couple of phases, those phases being "sort out the moldy bone boxes" and then "do everything else."
~Issues in Curation~
Remember last post when I said that our NAGPRA team was pulling out AFOs and going through faunal remains to ensure that all sacred items and human remains are accounted for? Also, remember waaay back when I said that some of the boxes of artifacts have mold in them?
After opening boxes that had faunal remains in order to go through them, many of those boxes were found to have mold in them. Before our NAGPRA team can sort through those bones, they need to be cleaned up and rehoused into temporary bags and boxes. Only then can they be sorted through. Because it's Very Important to get this done, cleaning up the moldy bone boxes is the priority right now. So here's how it works:
First, we put on our respirators and nitrile gloves. That's very important. Then we pull one of the moldy boxes. We take out one of the bags and look up the information written on the bag to find it in our digital database. Then we take the bones out of the bag, count them, vacuum off any mold (using a special attachment on the vacuum with the HEPA filter, which I think is cooler than it probably really is. The mold just comes right off, though!), and then weigh them. We get a new, archival-quality bag, write the information from the old bag onto the new one along with quantity and weight, and put the bones into the new bag. We also update the information in the database –for example, sometimes the number of artifacts in the bags and the number the database says we should have in those bags are different. Put the bag into a new box, move on to the next bag!
I left out a lot of the nitty-gritty details, but that's basically how it works. We're working in teams of two, one on a laptop with the database and one on the vacuum. When we finally finish all of the moldy bones, we'll move on to the rest of the bulk collection. We'll be training more people soon, and with more people we'll be able to plow right through these boxes this summer!
I want to thank everyone who's read these posts and has followed along so far. So: thank you! I'm looking forward to where this project is headed, and I hope you all are interested in it, too. I may be making some posts in the future, but, until then, have a great summer!
In September 2018, the GBL was awarded a Save America's Treasures grant to rehabilitate and rehouse about 2.8 million artifacts from Angel Mounds over the next 3 years. These grants are administered by the National Park Service in partnership with the Institute of Museum and Library Services.
This "Curating Angel" project will allow us to provide safe, long-term preservation of the artifacts and associated documentation from archaeological work at Angel Mounds and make these collections more accessible for research and education.
More about IMLS
The Institute of Museum and Library Services is the primary source of federal support for the nation's libraries and museums. We advance, support, and empower America's museums, libraries, and related organizations through grantmaking, research, and policy development. Our vision is a nation where museums and libraries work together to transform the lives of individuals and communities. To learn more, visit www.imls.gov and follow us on Facebook and Twitter.
(The views, findings, conclusions or recommendations expressed in this blog post do not necessarily represent those of the Institute of Museum and Library Services.)

subset: commoncrawl


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All hail the genius that is the Hollis.
Most of you won't have a shred of interest in this artist, so I better start with some amusing anecdotes to keep you reading.
I had a look at Mark Hollis' Wikipedia entry recently and found it a bit on the bland side, I thought about resurrecting my career as a Wiki vandal, but my previous Wiki edits weren't great. Once I changed the entry for the Duckworth-Lewis method (the method used for calculating a score in cricket that has been cut short by the weather) and said it was named after Vera Duckworth and Jerry Lewis, which wasn't funny. Although I felt my Norman Mailer edit was a bit better. After Norman Mailer died I edited his entry to say that he wrote a couple of episodes of Starsky and Hutch in the 1970s, silly enough but eminently plausible. It was picked up and re-pasted into a number of obituaries later that day, which gave me a warm, anarcho-situationalist glow.
I haven't listened to this for a while, so it was nice tuning into it again, you really do need to tune into it. The word that comes to mind while listening to this album is delicate, painfully delicate (I think Mark Hollis' amps only go up to 4).
It is hard pick a track from this album as I think all the tracks work as a whole. However, A Life (1895-1915) is really the spiritual centre of the album and also about a million miles away from anything resembling rock music. My favourite track on this listen was probably A New Jerusalem, it's as close as he comes to sounding like Talk Talk, which is no bad thing. I love the way the piano is recorded on this album, not only do you hear the piano, but you hear the room too. I want to hear some cor anglais and bassoon on the next Coldplay album.
Three word review; Sounds of silence
Mark Hollis – Mark Hollis
All hail the genius that is the Hollis.


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Meet Me in St. Louis?
Bottom line We have admittedly been more constructive than most on the chance of a U.S.-China trade deal coming to fruition before the end of 2019. To that end, we've had two important dates circled on our calendar: Oct. 10 and Nov. 17.
Oct. 10 was the 13th round of bilateral trade negotiations in Washington, D.C., where Treasury Secretary Mnuchin and trade representative Robert Lighthizer met with Chinese Vice Premier Liu He to reboot the trade talks that derailed last May.
The next planned step was to be on Nov. 16-17 at the Asia Pacific Economic Cooperation (APEC) Summit in Santiago, Chile. Presidents Trump and Xi were both scheduled to attend. They were expected to meet privately and potentially sign a so-called "Phase One" trade agreement, in which the U.S. would exchange some tariff relief for accelerated levels of desperately needed agricultural and energy exports to China.
But the recent violent protests in Chile prompted its president, Sebastian Pinera, to cancel the APEC Summit, as well as a United Nations climate summit in early December.
This logistical setback has thrown a monkey wrench in a potential signing ceremony, as the Trump administration is now scrambling to find an alternative venue. The U.S. has proposed Washington, D.C., Iowa (symbolically in the heart of farm country) and either Alaska or Hawaii (they're closer), but all such state-visit sites have been rejected by China. So Trump then suggested Sweden or Switzerland (they're neutral), with a possible eye on London, site of the 70th annual NATO Summit on Dec. 3-4. However, as our research friends at Evercore ISI point out, the location of the meeting is less important than the key date of Dec. 15 when the next round of U.S. tariffs are scheduled to go into effect.
Our first objective with these trade talks has been to do no more harm, so both nations must find a way to avoid escalating the tariffs and inflammatory rhetoric next month. Consequently, we expect some positive resolution to this situation over the next several weeks, which has coaxed a powerful 8% rally out of the S&P 500 since Oct. 3, to within a hair's breadth of our long-standing 3,100 year-end 2019 target.
The alternative is ugly This trade dispute has been going on for 19 months, and there's little question in our minds it's had a deleterious impact on U.S. economic growth. The reduction in corporate CEO confidence this year has resulted in less capex spending. This has caused productivity to slip, leading to slower economic and corporate-profit growth. Witness the following key metrics:
- NFIB small business optimism index Hit a 44-year high of 108.8 in August 2018, but fell to a 9-month low of 101.8 in September 2019.
- Conference Board's consumer confidence index Reached an 18-year high of 137.9 in October 2018, but fell to a 5-month low of 125.9 in October 2019.
- ISM manufacturing index Hit a 14-year high of 60.8 in August 2018 but fell to a 10-year low of 47.8 in September 2019. October perked up to 48.3.
- Corporate capital expenditures (capex) After a robust 11% quarter-over-quarter (q/q) increase in the second quarter of 2018, corporate spending on structures has fallen in four of the last five quarters, plunging 15.3% in the recent third quarter of 2019.
- Productivity declined from a 1.8% year-over-year (y/y) gain in the second quarter of 2019 to a 1.4% y/y increase in the third quarter. Productivity actually fell, 0.3% q/q, for the first time since 2015.
- U.S. GDP From a robust 3.5% q/q gain in the second quarter of 2018, the GDP growth rate slipped to 1.9% in the third quarter of 2019.
Both sides need a deal Chinese GDP growth in the third quarter at 6% y/y is its slowest pace in 27 years, and at 49.3, October manufacturing PMI has been in contraction territory for the past six months. In addition, China needs to stem the tide of supply-chain departures out of the country and find a peaceful resolution to the Hong Kong protests.
The U.S., on the other hand, is hoping to halve its $400 billion annual trade deficit with China, with stronger exports of agricultural products, energy, semiconductors, as well as auto- and aerospace-related products. In a $21.5 trillion U.S. economy, an additional $200 billion in annual exports to China could boost GDP nearly 1% (all other factors remaining equal), which could boost Trump's bid for re-election.
Comprehensive structural reforms later We believe that this so-called "Skinny Deal" will come soon, but it will not resolve the thornier structural issues that remain at the heart of this dispute. These include theft of U.S. intellectual property, forced technology transfers from U.S. companies to Chinese companies, Chinese currency manipulation and the U.S. tariffs on Chinese goods. We expect discussions will continue over time, but we don't have any illusions about a near-term fix prior to the 2020 presidential election.


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This 1800s Home Has Wall-to-Wall Christmas Cheer
There's plenty of ideas to steal from this Christmas-y house in Illinois, and HGTV Magazine is taking you on a festive tour!
Photo By: Lisa Romerein
Photo By: Lisa Romerein
Photo By: Lisa Romerein
Photo By: Lisa Romerein
Photo By: Lisa Romerein
Photo By: Lisa Romerein
Photo By: Lisa Romerein
Photo By: Lisa Romerein
The House
Christmas has an extra-special feeling in an old house. "Every year when we decorate our Christmas tree, I think about how many families have celebrated in our home—there's so much history!" says Jess Milburn. Her family bought their Oak Park, IL, 1893 Foursquare in 2015. Back then the 3,000-square-foot house had a bland peach-color exterior, a cramped layout, and rooms blanketed in carpet (including the kitchen). But Jess and husband James, who does commercial demolition for a living, were ready to work through all that in the spirit of creating a forever home.
They repainted the outside classic blue (Vermont Slate by Benjamin Moore), moved walls, refinished floors, and refurbished original molding, windows, and tile. Jess has filled it with cozy pieces, and she adds dashes of colorful holiday decor once Thanksgiving leftovers hit the fridge. "Nobody ever said Christmas has to stay downstairs," she says. "We like to spread the joy around everywhere."
The Family
Jess and James with Margot, 2; Libby, 5; and Bailey, 6. They recently welcomed baby Dylan to the family.
Living Room
When the family moved in, the fireplace tile was painted white with dried drips everywhere. It took two days of stripping to unwrap the gift beneath: a deep green surround that's practically made for hanging colorful stockings. The leather sofa from West Elm is a family favorite.
"It's where James and I crash after our Christmas morning workout—running around picking up crumpled wrapping paper!" says Jess. The sparkly tree hides a surprise: a glass pickle ornament for the kids to find, a quirky tradition. The sputnik-style light fixture from Shades of Light looks festive all year long. The gray leather swivel chair is also from West Elm.
The 8-foot island, topped with cream-color quartzite, comes in handy in December. "We have a cookie exchange at the girls' school, and we do all our mixing and decorating here," says Jess.
The blue on the cabinets and the island (Newburyport Blue by Benjamin Moore) is almost the same as the house's exterior: "I couldn't get enough of it," says Jess. Brass accents—door hardware from Signature Hardware and barstools from houzz.com—play up the richness of the color.
For classic-cool touches that nod to the home's age, there's a marble tile backsplash in a herringbone pattern, oil-rubbed-bronze globe pendants from houzz.com above the island, and lattice-print wallpaper from Anthropologie on the back of the built-in cabinet.
Breakfast Nook
It's holiday central this time of year: The family gathers around the whitewashed wood table from One Kings Lane to make gingerbread houses and down Mickey Mouse–shaped pancakes on Christmas morning. For max versatility, Jess bypassed built-ins and created L-shaped seating with upholstered benches from West Elm, adding bentwood chairs from Crate & Barrel. The brass-finish pendant is from Hortons Home Lighting.
Dining Room
"I wanted this room to have a dressed-up style so eating in here always feels like a special occasion, even if it's just pizza," says Jess. She put in green velvet dining chairs from Anthropologie, gray wingback hostess chairs from Art Van, and a wood-bead chandelier from wayfair.com. The dining table, also from Art Van, has a hammered-metal top protected by a sheet of glass. Star-shaped paper lanterns in shades of blue look extra festive against the leaded glass windows. "We're lucky to have so many pretty features like these that are original to the house," says Jess.
Bailey and Libby's Bedroom
All is calm, all is…yep. Jess chose bright bloom-filled wallpaper from the Etsy shop Wall Garnish Co. for one wall, minty green paint (Quartz Stone by Benjamin Moore) for the rest, and a large beaded chandelier from Target. The curved rails on the beds (from Walmart) are prime spots to hang pom-pom garlands. The pink rug beneath from Crate & Barrel sets the stage for Bailey and Libby's dress-up sessions. Toss in plenty of pillows and soft teal throws and it's no wonder this is the family's favorite place to pile onto the beds and read The Night Before Christmas.
Master Bedroom
Jess outfitted the upholstered bed from Brayden Studio with birch tree bedding from the Etsy shop Roostery and an extra-snuggly throw from Serena & Lily. An accent wall painted robin's-egg blue showcases gilded wreaths from Etsy shop Wreathly Florals; the diamond-pattern rug from thedump.com plays off the soothing color.


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Impact Global Champion Eli Drake recently sat down with Wrestling With Ideas to discuss his upcoming match at Bound For Glory. During the interview, Drake opened up about his beginnings in NXT and his experiences, good and bad, with WWE's developmental promotion.
Before making a splash with Impact Wrestling, Drake was briefly signed to NXT from 2013-2014. It was there that he received tutelage from the legendary Dusty Rhodes. Drake said even though he was more polished than other wrestlers in developmental thanks to his experience on the independent circuit, "The American Dream" was able to help him fine-tune the little things he needed to improve upon. Rhodes ended up becoming a Mentor to Drake.
"It's funny he was actually he was very good as far as (sigh) let's say he was complimentary. I mean I was kind of developed [by the time] I had already gotten there because I had been working years on the independents and that was what I was known for," Drake said. "It's pretty much what I got hired for was my promos. I mean the wrestling was there too but at the end of the day it's also about the entertainment [value] right? Dusty was very good at giving the little notes here and there when you needed it. He was a big advocate of mine. Unfortunately, I had a big detractor there somewhere. I think his name was Bill something, I don't remember his last name, it doesn't matter but at the end of the day Dusty was a great mentor. He was a great influence and he was a great advocate to have on the inside."
The "Bill something" Drake was referring to is Bill DeMott, the former head trainer at NXT. DeMott resigned from the position in 2015 after multiple accusations of misconduct and abusive training tactics by ex-trainees. Drake said his interactions with DeMott were never really cordial, but he doesn't look back on that time with any ill feelings thanks to his current success.
"We were hot and cold from day to day. It would be very strange when you would walk in and go 'Hey Bill, Good morning, how are you doing?' and you go to shake the guy's hand. He looks at it and then walks away. This guy's the head coach. I'm not trying to air out [dirty laundry]," Drake said. "It's onward and upward at this point. At this point, I'm Global Champion. I'm living the dream. I'm getting taken care of well. I'm doing well for myself so I can't even contemplate or dwell on that. Was it kind of a bad rep at the time? Yeah, yeah. Forget it. Move on. Who cares?"
Wrestling with Ideas can be found on Podbean and all podcast players including iTunes, Stitcher Radio, TuneIn Radio and more.
Source: Wrestling With Ideas


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HHS Staff
School Profile
Welcome to Hockinson High School, Home of the Hawks!
Health Information
General Program of Studies Handbook
Student Handbook
Food Service
Daily Bulletin
Monthly Newsletter
Activities and Clubs
School Delays & Cancellations
School Counselor
Care Closet
The Learning Center
Family Links
Hockinson Boosters
Student Links
Career Center
Senior Information
Alumni Information
On Wednesday, Hockinson School District marked the 18th anniversary of 9/11 with moments of silence and reflection, stories of bravery and grief, and conversations between teachers and students.
Discussing the events of September 11, 2001 with students can be challenging because it's a complex topic, and most were not born when the events took place.
Our district staff recognizes the importance of commemorating 9/11. Hockinson High School Principal Mr. Schoonover chose to honor the anniversary with the following school-wide announcement:
"Good morning, this is Mr. Schoonover. Today marks the 18th anniversary of the attacks on September 11th.
Please stand silently for a moment of reflection and respect. Most of you were not born on September 11th, 2001. But your parents will always remember that day.
Please join me in a moment of silence...
For the innocent men, women and children who lost their lives on an airplane, at the World Trade Center, at the Pentagon, and on the streets of New York City.
For civil servants, firefighters, police officers, and military personnel who have dedicated and lost their lives protecting our safety, our freedom and our democracy.
For the thousands of families and friends who still grieve their loss.
Thank you. While today marks one of the most difficult events in American History, I'd like to take a moment to celebrate America's resilience, ability to work together, help one another and commit to respecting all people, no matter race, culture or creed. Let's reflect what is best about America today."
Never forget.


text: war criminal Trending 0 Twitter speaks out against the dangerous media whitewash of George H W Bush's legacy Ed Sykes , 4th December 2018 Global 0 You're not imagining it. The newest Guardian columnist really is an alleged war criminal. Ed Sykes , 18th July 2017 Back to Top Get the news that really matters Sign me up Start your day with The Canary News Digest Fresh and fearless; get excellent independent journalism from The Canary, delivered straight to your inbox every morning. Email Address First name Last name Mobile number (optional) Website ×


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The Premier Siding Contractor in Littleton, Colorado
Littleton is a popular city for families in Colorado with homes in a menagerie of different styles. Scottish Home Improvements is proud to be the premier siding contractor serving Littleton, Colorado, and is able to handle any type of siding installation. We operate on both residential and commercial properties located all throughout the city of Littleton, working as far west as Columbine and the Front Range and as far East as Centennial and the surrounding area.
Our team of experts will help you sort through all products on the market and choose the best products for your unique home and budget. Our company has over 25 years of experience and has earned the esteemed A+ Rating from the BBB. In addition to a wide range of siding styles, including fiber cement, wood, stucco, vinyl, stone, and steel, we also offer high-quality replacement windows for Littleton homes.


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blueseventy has launched the r10 competition pool race suit, the world's first performance swimsuit to exclusively feature copper microfibers. In the water since January, all colors are now available globally and will be swimming at the summer's major meets.
The copper infused shell enhances performance and compression. blueseventy is the first and only brand to have developed a highly hydrophobic swim specific copper fabric. Not only do the horizontal ribbons of copper hold the r10 shape, but they'll help aid in faster recover and its anti-microbial properties will help the suit last longer.
blueseventy's CEO, John Duquette, said; "The objective was to produce a suit that was distinctive as well as fast. Since we first launched into the pool in 2008 we have tried to look at things differently, offer something new to the market, and fully test and measure performance so that swimmers can have total confidence when they hit the water. This is our most innovative suit ever."
Developed over three years, on three continents, blueseventy sought swim-specific biomechanics expertise through scientists including Dr. Conor Osborough in the UK, to study movement and body position, and how different fabrics and fits influenced performance.
Compression has key biomechanical, physiological and psychological benefits for swimming, and this is delivered through the r10's highly compressive outer shell fabric as well as newly allowed double layering of fabrics. By adding a double layer of fabric specifically at the legs, r10 compression is dramatically increased on the largest muscles in the body. This helps reduce cross sectional area and therefore reduces drag.
The R10 is constructed with a flexible side fabric to compliment the highly compressive copper fabric. This side panel helps ensure different shapes and sizes of swimmers can wear the r10. It's this fabric that influences body position, especially the section that runs across the front of the leg. The reinforcement tape encourages streamlining. All seams are ultra-sonically welded.
Helen Gorman, blueseventy's competition swim product specialist added; "The exciting part of developing the r10 was seeing the results on the stopwatches of coaches around the world. Double layering of fabrics hasn't previously been allowed, and for elite swimmers this is a big shift that sets the r10 apart."
blueseventy spent significant time and research into perfecting the fit of the r10. The new power back kneeskin covers more areas of the back, reducing friction as well as compressing more of the major muscle groups of the back. The jammer is mid waist fitting with a 3D circular design, thus extending compression higher up the gluts, but retaining a lower riding front.
Stephanie Peacock, a member of the USA Swimming Open Water National team and who finished 3rd in the 800m free at the 2016 US Olympic Trials, added; "The r10 feels incredible. Once it is on it is very comfortable and fits so nicely. The shoulder straps aren't restrictive which allowed me to be able to move more freely while swimming. My legs felt very buoyant as well!"
The R10 is available now at select blueseventy retailers and blueseventy.com.
Founded in New Zealand in 1993 at the advent of triathlon, blueseventy is a world leader and innovator in wetsuits, swimskins, pool competition suits, goggles and swimming products. Currently based in Seattle, with offices in the UK and New Zealand, blueseventy continues to develop patterns to achieve a fit that is superior for swimming. It is superior fit that leads to the best performance and comfort so athletes in blueseventy suits emerge first from the water at every iconic race in the world including the Olympics and World Championships over every distance. blueseventy products are available worldwide at leading triathlon and swimming retailers and online. Even the name references the fact that 70 percent of the earth is covered in water. Learn more at blueseventy.com.
Instagram: @blueseventy
Twitter: @blueseventy
Facebook: facebook.com/blueseventy


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Some pictures from my recent hike of Volcan Tajumulco, highest point in Central America at 4,220 m (just under 14,000 f). The peak
Saturday, December 13, 2008
Posted by Sara Knechtel at 7:43 AM
2 comments:
- Diana said...
You are all so cute! I love seeing my nalgeen in photographs of Central America....not to mention my lovely daughter!
- December 15, 2008 at 1:34 PM
- B. said...
With whom did you climb? I can see the Kohls in the picture, but I don't recognize anyone else. Did you guys camp on top before doing the summit?
- December 20, 2008 at 7:53 AM
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Hip, Hip HURRAW!
This lip balm is the bomb!! It is locally made (Whitefish,MT) and soooo awesome on your Montana lips.
It is super smooth, not draggy, not sticky, not sweet, not too glossy, not too smelly, never grainy & long lasting.
(all natural, vegan, made from premium raw, organic and fair trade ingredients)
Available in these yummy flavors:
-Black Cherry (deep red sheer tint w/ a tart yummy smell)
-Mint (awesome tingly, minty treat)
-Sun Balm SPF 15 (extra thick and creamy, zinc based sun balm w/ hints of tangerine)
-Moon Balm (thick, creamy and rich night balm)
photos courtesy of Hurraw! Balm


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HELENA, Ark., Nov. 15, 2010 (GLOBE NEWSWIRE) -- Please join Helena National Bank and the Federal Home Loan Bank of Dallas (FHLB Dallas) on Tuesday, November 16, 2010, as they award Main Street Helena a $4,000 Partnership Grant Program (PGP) award.
Main Street Helena will use the PGP funds exclusively for its mini-grants program, which provides business owners in Helena's historic downtown with matching funds to assist with exterior improvements to their buildings.
FHLB Dallas awarded $225,000 in grants through its PGP this year. The funds provide funding for operational needs of community-based organizations involved in affordable housing and community development.
The Federal Home Loan Bank of Dallas logo is available at http://www.globenewswire.com/newsroom/prs/?pkgid=3013
© Copyright 2012, GlobeNewswire, Inc. All Rights Reserved