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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
PubMed
Summary
This summary is machine-generated.

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.

Keywords:
boundary mappingcortical parcellationfunctional connectivitymodel fittingsubcortical parcellationwhite/gray contrast

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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.