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Related Experiment Video

Updated: May 28, 2025

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Decoding Parametric Grip-Force Anticipation From fMRI Data.

Guido Caccialupi1,2, Timo Torsten Schmidt1, Till Nierhaus1

  • 1Neurocomputation and Neuroimaging Unit (NNU), Freie Universität Berlin, Berlin, Germany.

Human Brain Mapping
|February 12, 2025
PubMed
Summary

The ventromedial prefrontal cortex (vmPFC) initially encodes grip-force intensity, which is then transformed into a motor code in the intraparipatial sulcus (IPS) and dorsal premotor cortex (PMd) before movement.

Keywords:
MVPAaction selectionfMRIgrip‐forcemotor planningprospective working memoryworking memory

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Area of Science:

  • Neuroscience
  • Cognitive Neuroscience
  • Motor Control

Background:

  • Previous fMRI studies show premotor and parietal activity correlates with grip-force intensity.
  • The initial representation and transformation of grip-force intensity into motor code remain unclear.

Purpose of the Study:

  • To decode where and when grip-force intensity information is parametrically coded in the brain using fMRI.
  • To investigate the neural transformation of grip-force intensity representation during working memory (WM).

Main Methods:

  • Functional magnetic resonance imaging (fMRI) with multivoxel pattern analysis (MVPA).
  • Time-resolved MVPA using a searchlight approach and support vector regression.
  • Delayed grip-force task with a 9-s working memory delay period.

Main Results:

  • Above-chance decoding of grip-force intensity in the ventromedial prefrontal cortex (vmPFC) during the early delay period.
  • Decoding observed in the intraparietal sulcus (IPS) and dorsal premotor cortex (PMd) during the late delay period.
  • Temporal generalization of grip-force intensity codes from cue to vmPFC and from motor execution to IPS/PMd.

Conclusions:

  • The vmPFC initially encodes grip-force intensity information.
  • This information is transformed into a motor code in the IPS and PMd before motor execution.
  • Suggests a neural transformation process for grip-force intensity representation in working memory.