4.7 Article

Investigating the Stability of Fine-Grain Digit Somatotopy in Individual Human Participants

Journal

JOURNAL OF NEUROSCIENCE
Volume 36, Issue 4, Pages 1113-1127

Publisher

SOC NEUROSCIENCE
DOI: 10.1523/JNEUROSCI.1742-15.2016

Keywords

7 T; digit; mapping; reproducibility; somatotopy

Categories

Funding

  1. National Institute for Health Research Oxford Biomedical Research Centre
  2. University College, Oxford
  3. Wellcome Trust/Royal Society
  4. MRC [104128/Z/14/Z]
  5. Wellcome Trust
  6. MRC [MR/L009013/1, G0700399] Funding Source: UKRI
  7. Medical Research Council [MR/L009013/1, G0700399] Funding Source: researchfish

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Studies of human primary somatosensory cortex (S1) have placed a strong emphasis on the cortical representation of the hand and the propensity for plasticity therein. Despite many reports of group differences and experience-dependent changes in cortical digit somatotopy, relatively little work has considered the variability of these maps across individuals and to what extent this detailed functional architecture is dynamic over time. With the advent of 7 T fMRI, it is increasingly feasible to map such detailed organization noninvasively in individual human participants. Here, we extend the ability of ultra-high-field imaging beyond a technological proof of principle to investigate the intersubject variability of digit somatotopy across participants and the stability of this organization across a range of intervals. Using a well validated phase-encoding paradigm and an active task, we demonstrate the presence of highly reproducible maps of individual digits in S1, sharply contrasted by a striking degree of intersubject variability in the shape, extent, and relative position of individual digit representations. Our results demonstrate the presence of very stable fine-grain somatotopy of the digits in human S1 and raise the issue of population variability in such detailed functional architecture of the human brain. These findings have implications for the study of detailed sensorimotor plasticity in the context of both learning and pathological dysfunction. The simple task and 10 min scan required to derive these maps also raises the potential for this paradigm as a tool in the clinical setting.

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