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

Author:

Wang Luyao12,Zhang Zhilin2,Okada Tomohisa3,Li Chunlin4,Chen Duanduan5,Funahashi Shintaro6,Wu Jinglong1,Yan Tianyi5

Affiliation:

1. School of Mechatronical Engineering, Beijing Institute of Technology, Beijing 100081, China

2. Department of Psychiatry, Graduate School of Medicine, Kyoto University, Kyoto 606-8507, Japan

3. Human Brain Research Center, Graduate School of Medicine, Kyoto University, Kyoto 606-8501, Japan

4. School of Biomedical Engineering, Capital Medical University, Beijing 100069, China

5. School of Life Science, Beijing Institute of Technology, Beijing 100081, China

6. Advanced research institute of multidisciplinary science, Beijing Institute of Technology, Beijing 100081, China

Abstract

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.

Funder

Beijing Municipal Science and Technology Commission

National Natural Science Foundation of China

National Key R&D Program of China

Publisher

Oxford University Press (OUP)

Subject

Cellular and Molecular Neuroscience,Cognitive Neuroscience

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