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Brain network profiling defines functionally specialized cortical networks.

Simone Di Plinio1, Sjoerd J H Ebisch1,2

  • 1Department of Neuroscience, Imaging and Clinical Science, G. d'Annunzio University of Chieti-Pescara, Chieti, Italy.

Human Brain Mapping
|August 5, 2018
PubMed
Summary
This summary is machine-generated.

A new brain network profiling (BNP) method reliably maps brain architecture by combining task-evoked activity and functional connectivity. This approach identifies 16 distinct cortical networks with unique functional profiles, advancing neuroimaging analysis.

Keywords:
Gaussian mixture modelbrain functional architectureclusteringparallel analysisprincipal component analysisresting-state fMRItask fMRI

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Area of Science:

  • Neuroimaging
  • Computational Neuroscience
  • Brain Network Analysis

Background:

  • Neuroimaging studies increasingly focus on large-scale brain networks.
  • Existing methods require refinement for reliable identification of specialized subsystems within these networks.

Purpose of the Study:

  • To introduce a novel approach, brain network profiling (BNP), for characterizing brain network functional properties.
  • To enhance the reliability and resolution of brain architecture analysis.

Main Methods:

  • BNP integrates task-evoked activity and resting-state functional connectivity across brain subregions.
  • Principal components analysis was applied to task-related beta values and functional connectivity z-values from Human Connectome Project data.
  • Gaussian mixture models and k-means clustering were used to partition 360 brain parcels.

Main Results:

  • Combining resting-state functional connectivity and task-evoked activity with Gaussian mixture models yielded highly reliable results (99% replication).
  • A high-resolution partition of the cerebral cortex into 16 distinct networks was identified.
  • These networks exhibit unique functional connectivity and task-evoked activity profiles.

Conclusions:

  • Brain network profiling (BNP) offers a robust method for analyzing brain functional architecture.
  • The findings provide a refined map of cortical networks, advancing our understanding of brain organization.
  • BNP has the potential to drive new investigations into brain functional architecture.