Dissociable Default Mode Network Connectivity Patterns Underlie Distinct Symptoms in Psychosis Risk
Chelsea C Ajunwa1, Jiahe Zhang1, Guusje Collin2,3,4
1Department of Psychology, Northeastern University, Boston, MA.
Biorxiv : the Preprint Server for Biology
|November 1, 2024
Summary
Clinical High Risk (CHR) individuals show heightened default-mode network (DMN) connectivity, linking specific DMN pathways to anxiety and negative symptoms in early psychosis.
Area of Science:
- Neuroscience
- Psychiatry
- Neuroimaging
Background:
- The Clinical High Risk (CHR) stage precedes psychosis onset, characterized by subthreshold symptoms and functional decline.
- Default-mode network (DMN) hyperconnectivity is noted in schizophrenia, but its role in the CHR stage and transdiagnostic symptoms is unclear.
Purpose of the Study:
- To investigate DMN functional connectivity in CHR individuals.
- To determine if DMN hyperconnectivity in CHR is associated with specific symptom dimensions.
Main Methods:
- Resting-state fMRI data from 251 young adults (158 CHR, 93 controls) were analyzed.
- Whole-brain seed-to-voxel analysis using the medial prefrontal cortex (MPFC) as a seed.
- Correlations between DMN connectivity and symptom severity (negative, positive, affective) were examined.
Main Results:
- CHR individuals showed significantly greater MPFC connectivity with DMN nodes (PCC) and auditory cortices (STG/MTG) compared to controls.
- MPFC-PCC connectivity correlated with anxiety symptoms (r=0.23, p=0.006).
- MPFC-STG/MTG connectivity correlated with negative symptom severity (r=0.26, p=0.001).
Conclusions:
- Distinct patterns of DMN hyperconnectivity are present in the CHR stage.
- These dissociable DMN hyperconnectivity patterns may underpin specific symptom dimensions, such as anxiety and negative symptoms.
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