Exploring global and local processes underlying alterations in resting-state functional connectivity and dynamics in schizophrenia

Christoph Metzner, Cristiana Dimulescu, Fabian Kamp, Sophie Fromm, Peter J. Uhlhaas, Klaus Obermayer

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Abstract

Introduction: We examined changes in large-scale functional connectivity and temporal dynamics and their underlying mechanisms in schizophrenia (ScZ) through measurements of resting-state functional magnetic resonance imaging (rs-fMRI) data and computational modelling.
Methods: The rs-fMRI measurements from patients with chronic ScZ (n=38) and matched healthy controls (n=43), were obtained through the public schizConnect repository. Computational models were constructed based on diffusion-weighted MRI scans and fit to the experimental rs-fMRI data.
Results: We found decreased large-scale functional connectivity across sensory and association areas and for all functional subnetworks for the ScZ group. Additionally global synchrony was reduced in patients while metastability was unaltered. Perturbations of the computational model revealed that decreased global coupling and increased background noise levels both explained the experimentally found deficits better than local changes to the GABAergic or glutamatergic system.
Discussion: The current study suggests that large-scale alterations in ScZ are more likely the result of global rather than local network changes.
Original languageEnglish
Article number1352641
Pages (from-to)1-13
Number of pages13
JournalFrontiers in Psychiatry
Volume15
Early online date13 Feb 2024
DOIs
Publication statusPublished - 13 Feb 2024

Keywords

  • computational model
  • functional connectivity
  • large-scale networks
  • resting-state fMRI
  • schizophrenia
  • temporal dynamics

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