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Related Experiment Video

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Brain Morphology of Cannabis Users With or Without Psychosis: A Pilot MRI Study
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Temporal-thalamic and cingulo-opercular connectivity in people with schizophrenia.

Adam J Culbreth1, Qiong Wu2, Shuo Chen3

  • 1Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland, School of Medicine, United States.

Neuroimage. Clinical
|December 19, 2020
PubMed
Summary

People with schizophrenia show altered brain connectivity, particularly hyperconnectivity in thalamic-sensory networks and hypoconnectivity in cingulo-opercular networks, using novel data-driven methods.

Keywords:
Graph theoryNeuroimagingResting state functional connectivitySchizophrenia

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Network Science

Background:

  • Schizophrenia (SZ) is associated with altered brain connectivity patterns.
  • Previous studies often used seed-based analyses, limiting whole-brain investigations.
  • A data-driven approach is needed to comprehensively identify differential connectivity in SZ.

Purpose of the Study:

  • To identify latent functional connectivity networks differentiating individuals with schizophrenia (SZ) from healthy controls (HC).
  • To apply novel network statistical techniques for a comprehensive, data-driven analysis of brain connectivity.
  • To investigate differential resting-state functional connectivity (rsFC) in SZ using whole-brain analysis.

Main Methods:

  • Utilized novel network statistical techniques for whole-brain analysis, avoiding a priori seed selection.
  • Analyzed resting-state functional connectivity (rsFC) data from two independent samples.
  • Applied graph theoretical approaches to identify differential connectivity patterns.

Main Results:

  • Identified hyperconnectivity within a temporal-thalamic network in individuals with SZ compared to HC across both samples.
  • Detected hypoconnectivity within a cingulo-opercular network in SZ individuals compared to HC in the second sample.
  • Results replicate and extend previous findings using data-driven methods.

Conclusions:

  • Novel network statistical techniques successfully identified differential brain connectivity in schizophrenia.
  • Findings support and expand upon previous research indicating altered thalamic-sensory and cingulo-opercular connectivity in SZ.
  • This data-driven approach offers a more comprehensive understanding of functional brain alterations in schizophrenia.