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.
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 language | English |
|---|---|
| Article number | 1352641 |
| Pages (from-to) | 1-13 |
| Number of pages | 13 |
| Journal | Frontiers in Psychiatry |
| Volume | 15 |
| Early online date | 13 Feb 2024 |
| DOIs | |
| Publication status | Published - 13 Feb 2024 |
Keywords
- computational model
- functional connectivity
- large-scale networks
- resting-state fMRI
- schizophrenia
- temporal dynamics