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Related Experiment Video

Updated: Mar 6, 2026

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
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Optimal location for gesture decoding in the sensorimotor cortex and implications for brain-computer interface

Maria Kromm1, Mariana P Branco2, Mathijs Raemaekers2

  • 1University Medical Center Utrecht Brain Center, Department of Neurology and Neurosurgery, Utrecht, the Netherlands.

Neuroimage
|March 4, 2026
PubMed
Summary
This summary is machine-generated.

Researchers mapped brain activity for hand gestures using 7-Tesla fMRI to guide implantable brain-computer interface (iBCI) placement. Optimal decoding sites were found in the sensorimotor cortex, suggesting surface recordings may suffice for iBCI technology.

Keywords:
Brain-computer interfacesClassificationHand gesturesHigh-field fMRI

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Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Medical Imaging

Background:

  • Implantable brain-computer interfaces (iBCIs) are crucial for restoring communication in individuals with severe motor impairments.
  • Optimal electrode placement is essential for achieving high performance in iBCI systems.

Purpose of the Study:

  • To map the spatial distribution of brain activity related to hand gestures using high-resolution functional magnetic resonance imaging (fMRI).
  • To identify optimal cortical locations for iBCI electrode placement to maximize decoding accuracy.

Main Methods:

  • Utilized 7-Tesla fMRI to image brain activity in ten able-bodied participants performing 20 distinct unimanual hand gestures.
  • Employed support vector machines to analyze and quantify the decodability of hand gestures across the cortex.
  • Investigated the contribution of different cortical regions (gyral vs. sulcal) to decoding performance.

Main Results:

  • The highest decoding performance for hand gestures was observed in the sensorimotor cortex's hand region.
  • A subset of six distinct gestures effectively predicted optimal decoding locations for a larger set of gestures.
  • Decoding was possible in both sulcal and gyral regions, but gyral regions in the precentral and postcentral cortex provided the primary unique information, suggesting surface recordings may be sufficient.

Conclusions:

  • Findings provide practical guidance for iBCI electrode placement, optimizing performance for communication restoration.
  • Identifying optimal sensorimotor cortex regions can enhance the efficacy of iBCIs for individuals with motor impairments.
  • The study suggests that focusing on gyral regions may be sufficient for effective iBCI signal acquisition.