{'fraction_non_alphanumeric': 0.01762977473065622, 'fraction_numerical': 0.0009794319294809011, 'mean_word_length': 5.427672955974843, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
A New Method of Motion-Compensated Spinal fMRI: Identifying Human Spinal Cord Function with Increased Sensitivity and Reproducibility

Before functional magnetic resonance imaging (fMRI) of the spinal cord can be used as a reliable tool for clinical investigation of spinal cord injury and evaluation of novel treatment strategies, the sensitivity and reliability of isolated studies must be improved. Previous research has shown that the human spinal cord oscillates in a predictable manner relative to the cardiac cycle, and can be modeled as a linear combination of three principal components (Figure 1). Left unaccounted for, this motion significantly reduces the sensitivity and reproducibility of spinal fMRI data, limiting the ability to discern between small, discrete regions of neural activity within the cord. In the present study, a new data analysis method is presented: one that incorporates recent advances in modeling spinal cord motion to reduce the effects of cardiac-induced cord motion on spinal fMRI.