ArticleScientific data2022
An fMRI dataset for whole-body somatotopic mapping in humans.
Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning.Scientific data · 2026Article
- When Can Brain Connectivity Track the Working Mind? A Large-Scale Benchmark of Dynamic Functional Connectivity Across Cognitive Paradigms.bioRxiv : the preprint server for biology · 2026Article
- Article
- Causal disconnectomics of motion perception networks: insights from transcranial magnetic stimulation-induced BOLD responses.The Journal of physiology · 2026Article
- Large-scale fMRI dataset for the design of motor-based Brain-Computer Interfaces.Scientific data · 2025Article
- Open-transmit and flexible receiver array for high resolution ultrahigh-field fMRI of the human sensorimotor cortex.Communications biology · 2025Article
- Combining video telemetry and wearable MEG for naturalistic imaging.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Cerebro-spinal somatotopic organization uncovered through functional connectivity mapping.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Neural dynamics of delayed feedback in robot teleoperation: insights from fNIRS analysis.Frontiers in human neuroscience · 2024Article
- Females exhibit smaller volumes of brain activation and lower inter-subject variability during motor tasks.Scientific reports · 2023Article
- An fMRI dataset for whole-body somatotopic mapping in humans.Scientific data · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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, finger, wrist, forearm, upper arm, jaw, lip, tongue, and eyes. Moreover, the fMRI data are denoised by combining spatial independent component analysis with manual identification to clean artifacts from head motion associated with body movements.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.