Population Receptive Field Characteristics in the between- and Within-Digit Dimensions of the Undominant Hand in the Primary Somatosensory Cortex

Abstract Somatotopy is an important guiding principle for sensory fiber organization in the primary somatosensory cortex (S1), which reflects tactile information processing and is associated with disease-related reorganization. However, it is difficult to measure the neuronal encoding scheme in S1 i...

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Published in:Cerebral cortex (New York, N.Y. 1991) N.Y. 1991), 2021-08, Vol.31 (10), p.4427-4438
Main Authors: Wang, Luyao, Zhang, Zhilin, Okada, Tomohisa, Li, Chunlin, Chen, Duanduan, Funahashi, Shintaro, Wu, Jinglong, Yan, Tianyi
Format: Article
Language:English
Subjects:
Adult
Brain Mapping
Female
Fingers - innervation
Fingers - physiology
Functional Laterality - physiology
Hand - innervation
Hand - physiology
Humans
Magnetic Resonance Imaging
Male
Models, Neurological
Original
Physical Stimulation
Population
Psychomotor Performance - physiology
Somatosensory Cortex - diagnostic imaging
Somatosensory Cortex - physiology
Space Perception
Touch - physiology
Young Adult
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Summary:Abstract Somatotopy is an important guiding principle for sensory fiber organization in the primary somatosensory cortex (S1), which reflects tactile information processing and is associated with disease-related reorganization. However, it is difficult to measure the neuronal encoding scheme in S1 in vivo in normal participants. Here, we investigated the somatotopic map of the undominant hand using a Bayesian population receptive field (pRF) model. The model was established in hand space with between- and within-digit dimensions. In the between-digit dimension, orderly representation was found, which had low variability across participants. The pRF shape tended to be elliptical for digits with high spatial acuity, for which the long axis was along the within-digit dimension. In addition, the pRF width showed different change trends in the 2 dimensions across digits. These results provide new insights into the neural mechanisms in S1, allowing for in-depth investigation of somatosensory information processing and disease-related reorganization.
ISSN:1047-3211
1460-2199
DOI:10.1093/cercor/bhab097