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A sub+cortical fMRI-based surface parcellation
John D Lewis1, Gleb Bezgin1,2, Vladimir S Fonov1
1McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada.
Human Brain Mapping
|November 11, 2021
Summary
This study extends surface-based brain mapping to include subcortical structures, improving accuracy for neuroscience research. The new method offers a unified approach for analyzing both cortical and subcortical brain regions.
Area of Science:
- Neuroscience
- Brain Mapping
- Neuroimaging
Background:
- Accurate mapping of distinct cortical and subcortical brain areas is crucial for neuroscience.
- Individual morphological differences hinder volumetric registration accuracy.
- Current surface-based methods are limited to cortical parcellation.
Purpose of the Study:
- To extend surface-based parcellation to subcortical structures for uniform brain representation.
- To develop a method suitable for surface-based metrics spanning cortex and subcortex.
- To provide an improved functional parcellation for the neuroimaging community.
Main Methods:
- Extended surface-based approach to include subcortical deep gray-matter structures.
- Utilized data from the Enhanced Nathan Klein Institute-Rockland Sample (ages 19-69).
- Generated a functional parcellation for both cortical and subcortical surfaces.
Main Results:
- The extended parcellation demonstrated greater homogeneity of functional connectivity than arbitrary parcellations.
- Parcels aligned with known cortical and subcortical architecture.
- The parcellation showed improved fit to life-span changes in white/gray contrast data.
Conclusions:
- The extended surface-based functional parcellation offers a uniform representation across cortex and subcortex.
- This method enhances the utility of surface-based metrics, like white/gray contrast.
- The provided parcellation supports neuroscience research across the lifespan.
