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Updated: Jan 1, 2026

Non-Invasive Modulation and Robotic Mapping of Motor Cortex in the Developing Brain
Published on: July 1, 2019
Sub-millimeter fMRI reveals multiple topographical digit representations that form action maps in human motor cortex
Laurentius Huber1, Emily S Finn2, Daniel A Handwerker2
1NIMH, NIH, Bethesda, MD, USA; Maastricht Brain Imaging Centre, Maastricht University, Maastricht, the Netherlands.
The human brain
Area of Science:
- Neuroscience
- Motor Control
- Brain Imaging
Background:
- The human brain's motor cortex exhibits large-scale somatotopic organization, mapping body parts to adjacent brain areas.
- Finer-scale studies suggest motor actions, not just body parts, influence cortical organization.
- Integrating these mesoscopic action maps with macroscopic body maps remains unclear.
Purpose of the Study:
- To investigate the functional organization topography of the human motor cortex at the mesoscopic scale.
- To bridge the gap between invasive electrophysiology and non-invasive neuroimaging.
- To explore columnar and laminar structures in human motor cortex organization.
Main Methods:
- Developed advanced mesoscopic (sub-millimeter) functional magnetic resonance imaging (fMRI) and analysis techniques.
- Non-invasively captured locally specific blood volume changes across cortical regions.
- Investigated functional organization across columnar and laminar structures in humans.
Main Results:
- Discovered multiple, mirrored representations for individual fingers in the primary motor cortex.
- Found that digit representations can be up to 3 mm apart, organized in column-like structures.
- Demonstrated differential engagement of these representations based on specific motor actions (e.g., grasping vs. releasing).
Conclusions:
- Individual fingers have distinct cortical representations linked to specific motor actions.
- Mesoscopic fMRI reveals a more complex functional organization of the motor cortex than previously understood.
- This study provides a foundation for non-invasive investigation of human cortical mesoscale topography.
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