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Related Experiment Video

Updated: May 5, 2026

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
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Fledgling pathoconnectomics of psychiatric disorders.

Mikail Rubinov1, Ed Bullmore

  • 1Brain Mapping Unit, Department of Psychiatry, University of Cambridge, Cambridge, UK; Behavioural and Clinical Neuroscience Institute, Department of Psychiatry, University of Cambridge, Cambridge, UK; Churchill College, University of Cambridge, Cambridge, UK.

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Summary

Pathoconnectomics, mapping abnormal brain networks, is a popular framework for studying psychiatric disorders. Current evidence for abnormal brain networks in disorders like schizophrenia and autism remains inconclusive, requiring further research to validate this approach.

Keywords:
MRIcomplex networksconnectomicsendophenotypepsychiatry

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Network Science

Background:

  • Pathoconnectomics, the study of abnormal brain networks, is increasingly used to understand psychiatric disorders.
  • This framework aims to map brain dysfunction by analyzing neural network organization.

Purpose of the Study:

  • To critically evaluate the conceptual basis of pathoconnectomics.
  • To describe methods for constructing and analyzing brain network models (connectomes).
  • To review findings on whole-brain connectome organization in schizophrenia and autism.

Main Methods:

  • Literature review and synthesis of existing research on pathoconnectomics.
  • Analysis of empirical studies on brain network construction and analysis.
  • Examination of connectome data from individuals with schizophrenia and autism.

Main Results:

  • The evidence supporting abnormal brain networks as a core feature of psychiatric disorders is currently inconclusive.
  • Some studies suggest more random whole-brain network organization in schizophrenia and autism.
  • Observed brain network abnormalities require further validation as sufficient phenotypes for psychiatric disorders.

Conclusions:

  • Pathoconnectomics offers a promising framework for psychiatric research but requires further validation.
  • Future research must determine if identified brain network alterations are specific and sufficient to diagnose or understand psychiatric conditions.
  • The scientific and clinical utility of pathoconnectomics hinges on establishing robust links between network abnormalities and specific disorders.