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Meta-connectomics: human brain network and connectivity meta-analyses.

N A Crossley1, P T Fox2, E T Bullmore3

  • 1Department of Psychosis Studies,Institute of Psychiatry, Psychology and Neuroscience,King's College London,UK.

Psychological Medicine
|January 27, 2016
PubMed
Summary
This summary is machine-generated.

Meta-connectomics, a novel approach, uses network analysis on existing studies to understand brain connectivity and psychiatric disorders. This method reveals brain subnetworks and identifies critical hubs affected in various neurological conditions.

Keywords:
Connectomecytoarchitectonicsgene expressiongraph theoryneuroimaging

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Psychiatric Research

Background:

  • Abnormal brain connectivity is implicated in psychiatric disorders.
  • Existing meta-analytic approaches often provide only summary descriptions.
  • Novel network analysis methods offer deeper insights into brain organization.

Purpose of the Study:

  • To review and define meta-connectomics, a novel meta-analytic strategy.
  • To demonstrate applications of meta-connectomics in understanding brain function and disorders.
  • To highlight the potential of meta-connectomics for future psychiatric research.

Main Methods:

  • Applying network analysis to previously published neuroimaging studies and databases.
  • Combining connectivity data with other brain characteristics (meta-connectomics).
  • Analyzing task-based neuroimaging data to infer functional co-activation patterns.

Main Results:

  • Network analysis relates cognition to functional network topology, revealing specialized subnetworks.
  • Identified a 'rich club' of generalized regions mediating inter-modular connections.
  • Linked disorder-related abnormalities to the normative connectome, highlighting hubs as deficit hotspots in schizophrenia and Alzheimer's disease.
  • Incorporated cellular and transcriptional data to elucidate microscopic mechanisms of macroscopic brain organization.

Conclusions:

  • Meta-connectomics provides robust and integrative insights into brain organization.
  • This approach is crucial for consolidating network models of psychiatric disorders.
  • Future research will likely leverage meta-connectomics for a deeper understanding of brain function and dysfunction.