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Functional organization of the human posterior cingulate cortex, revealed by multiple connectivity-based parcellation

Jungho Cha1, Hang Joon Jo2, William S Gibson2

  • 1Department of Biomedical Engineering, Hanyang University, Seoul, South Korea.

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|March 16, 2017
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Summary

The posterior cingulate cortex (PCC) can be divided into two or four subregions based on local functional connectivity. These subregions show distinct global connectivity patterns, especially along the dorsal-ventral axis.

Keywords:
brain connectivityclustering algorithmsfunctional magnetic resonance imaginghuman brainresting state

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Area of Science:

  • Neuroscience
  • Brain Imaging
  • Cognitive Neuroscience

Background:

  • The posterior cingulate cortex (PCC) is traditionally divided into dorsal and ventral subregions (dPCC and vPCC) based on cytoarchitecture.
  • However, functional subregions in the human brain do not always align with anatomical boundaries.

Purpose of the Study:

  • To define functionally informed subregions within the human PCC.
  • To investigate the relationship between functional organization and anatomical features using parcellation algorithms.

Main Methods:

  • Applied parcellation algorithms to resting-state functional connectivity data of the PCC.
  • Utilized various functional connectivity patterns (local, whole-brain, diffuse) and clustering methods (hierarchical, spectral, k-means).

Main Results:

  • Functional subregions of the PCC showed high overlap with approximate anatomical boundaries.
  • Hierarchical clustering separated the PCC into two (dPCC, vPCC) or four subregions based on local functional connectivity.
  • PCC subregions exhibited differential global functional connectivity, particularly along the dorsal-ventral axis.

Conclusions:

  • The PCC can be functionally parcellated into two or four subregions using local connectivity and hierarchical clustering.
  • Observed differences in global functional connectivity between dPCC and vPCC may stem from local connectivity variations within these hierarchical subregions.