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标题：An fMRI dataset for whole-body somatotopic mapping in humans
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作者：Sai Ma ; Taicheng Huang ; Yukun Qu 等
期刊名称：Scientific Data
电子版ISSN：2052-4463
出版年度：2022
卷号：9
期号：1
页码：1-10
DOI：10.1038/s41597-022-01644-4
语种：English
出版社：Nature Publishing Group
摘要：the somatotopic representation of the body is a well-established organizational principle in the human brain. Classic invasive direct electrical stimulation for somatotopic mapping cannot be used to map the whole-body topographical representation of healthy individuals. Functional magnetic resonance imaging (fMRI) has become an indispensable tool for the noninvasive investigation of somatotopic organization of the human brain using voluntary movement tasks . Unfortunately, body movements during fMRI scanning often cause large head motion artifacts . Consequently, there remains a lack of publicly accessible fMRI datasets for whole-body somatotopic mapping . Here, we present public high- resolution fMRI data to map the somatotopic organization based on motor movements in a large cohort of healthy adults (N = 62) . In contrast to previous studies that were mostly designed to distinguish few body representations, most body parts are considered, including toe, ankle, leg, fnger, wrist, forearm, upper arm, jaw, lip, tongue, and eyes . Moreover, the fMRI data are denoised by combining spatial independent component analysis with manual identifcation to clean artifacts from head motion associated with body movements.