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Search for schizophrenia and bipolar biotypes using functional network properties.

Inés Fernández-Linsenbarth1, Álvaro Planchuelo-Gómez2, Rosa M Beño-Ruiz-de-la-Sierra1

  • 1Psychiatry Department, School of Medicine, University of Valladolid, Valladolid, Spain.

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Summary

This study identified a psychosis subgroup with altered brain network connectivity. These findings suggest distinct biotypes within psychosis based on electroencephalogram network properties.

Keywords:
biotypesbipolar disorderdiffusionelectroencephalogramnetworkschizophrenia

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Computational Biology

Background:

  • Schizophrenia and bipolar disorder may have distinct subtypes.
  • Electroencephalogram (EEG) network properties can potentially identify these subtypes.

Purpose of the Study:

  • To identify meaningful biotypes of psychosis using EEG network properties.
  • To investigate if these biotypes correlate with clinical, cognitive, and biological deficits.

Main Methods:

  • Clustering analysis of EEG network parameters (graph theory) in 137 schizophrenia and 46 bipolar patients.
  • Inclusion of prestimulus and P300 task-related EEG data.
  • Comparison of functional network properties, structural connectivity, and clinical/cognitive data with 158 healthy controls.

Main Results:

  • Two patient clusters were identified.
  • One cluster showed altered functional connectivity (higher strength, clustering, path-length; lower small-world index) and structural connectivity (cortical thinning).
  • The other cluster did not differ significantly from controls in functional network properties.

Conclusions:

  • Evidence supports a psychosis subgroup with altered global functional and structural connectivity.
  • These findings suggest distinct biotypes within psychosis based on network properties.