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Recognition of Pure Tone Frequency Based on fMRI Voxels Intensity

Intensity of voxels is a very effective feature, different neurons in human auditory cortex (HAC) are frequency-selective, but whether voxels intensity of HAC whose neurons are frequency-selective could be used as a feature to distinguish different pure sound frequency remains unclear. In order to explore this problem, we analyzed the difference between low frequency (200Hz) and high frequency (6400Hz) of pure tone by the voxels intensity of HAC. The support vector machine (SVM) were used for binary classification, and the correct recognition rate of low frequency and high frequency were 81.82% and 68.18%, respectively. Therefore, we can conclude that the voxels intensity of HAC could be used as a feature to distinguish different pure sound frequency and the frequency preferences of neurons are robust enough to distinguish different pure sound. Our study may be beneficial to the study of brain-computer interface (BCI) and pure tone audiometry (PTA).