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Updated: Aug 5, 2025

Non-Invasive Modulation and Robotic Mapping of Motor Cortex in the Developing Brain
Published on: July 1, 2019
Real world demonstration of hand motor mapping using the structural connectivity atlas
Karol Osipowicz1, Christos Profyris2, Alana Mackenzie1
1Omniscient Neurotechnology, Sydney, Australia.
The Structural Connectivity Atlas (SCA) machine-learning method accurately located the hand-motor-cortex (HMC) in 90% of subjects, aiding neurosurgery planning.
Area of Science:
- Neuroscience
- Neurosurgery
- Medical Imaging
Background:
- Accurate localization of the hand-motor-cortex (HMC) is critical for neurosurgery.
- Existing HMC localization methods have limitations.
- Precise presurgical planning requires efficient and accurate cortical region identification.
Purpose of the Study:
- To evaluate the Structural Connectivity Atlas (SCA) for locating the HMC.
- To assess SCA's efficacy in a small cohort study.
Main Methods:
- Used MRI and DTI from 11 adult subjects to create personalized brain maps with SCA and Brainnetome regions.
- Administered single-pulse Transcranial Magnetic Stimulation (TMS) over the SCA-identified HMC using neuronavigation.
- Compared SCA-identified HMC with visually determined HMC (Omega fold on Precentral Gyrus) by a neuroanatomist.
Main Results:
- The SCA successfully located the HMC in 90% of subjects.
- The SCA-identified HMC elicited motor responses in 61% of subjects.
- The SCA demonstrated capability in both healthy and anatomically distorted brains.
Conclusions:
- The SCA is a viable tool for HMC localization, even in complex brain anatomies.
- SCA shows potential for integration into presurgical planning workflows.
- Further research with larger cohorts and diverse cortical targets is recommended.
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