Inter-subject connectivity-based parcellation of a patch of cerebral cortex
Pauline Roca1, Alan Tucholka, Denis Rivière
1CEA Saclay, Neurospin/LNAO, Bât 145, 91191 Gif-sur-Yvette cedex, France.
Summary
This study introduces a new method for mapping brain regions, specifically the post-central gyrus, using connectivity data across multiple subjects. This approach yields reproducible and stable brain parcels for research.
Area of Science:
- Neuroimaging
- Computational Neuroscience
- Human Brain Mapping
Background:
- The post-central gyrus is crucial for somatosensory processing.
- Previous parcellation methods often lack inter-subject reproducibility.
- Understanding the functional organization of the post-central gyrus is key to neuroscience.
Purpose of the Study:
- To develop a reproducible, group-level connectivity-based parcellation of the human post-central gyrus.
- To create stable and well-separated parcels across subjects.
- To enable direct matching of parcels between individuals and identify subject-specific variations.
Main Methods:
- Utilized a surface-based coordinate system to define regions of interest.
- Reduced dimensionality of the clustering problem by focusing on strongly connected cortical regions.
- Employed an inter-subject parcellation approach for enhanced reproducibility.
- Applied connectivity profiling for parcel homogeneity and separation.
Main Results:
- Achieved stable parcel localization across subjects.
- Demonstrated homogenous and well-separated parcels based on connectivity profiles.
- Established a direct inter-subject parcel matching framework.
- Successfully identified subject-specific parcels within the post-central gyrus.
Conclusions:
- The proposed inter-subject parcellation method offers superior reproducibility compared to intra-subject approaches.
- This technique provides a robust framework for mapping the human post-central gyrus.
- The ability to identify subject-specific parcels has significant implications for studying neurological pathologies.


