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Related Experiment Video

Updated: Sep 15, 2025

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity
10:43

Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity

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Multivariate Resting-State Functional Connectivity Features Linked to Transdiagnostic Psychopathology in Early

Haley R Wang1,2, Zhen-Qi Liu3, Jason S Nomi2

  • 1Department of Psychology, University of California, Los Angeles, Los Angeles, CA, United States.

Biorxiv : the Preprint Server for Biology
|July 15, 2025
PubMed
Summary
This summary is machine-generated.

Early psychosis (EP) involves altered brain connectivity. A study found that cognitive inflexibility and arousal issues in EP are linked to specific resting-state functional connectivity (RSFC) patterns across brain networks.

Keywords:
Clinical heterogeneityEarly PsychosisPsychopathologyResting-state functional connectivity

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Area of Science:

  • Neuroscience
  • Psychiatry
  • Brain Imaging

Background:

  • Early psychosis (EP) presents neurobiological changes, including altered resting-state functional connectivity (RSFC).
  • Existing research indicates symptom and neural overlap across diagnostic categories in EP.
  • The precise link between RSFC patterns and transdiagnostic symptom dimensions in EP requires further investigation.

Purpose of the Study:

  • To investigate the multivariate relationships between whole-brain RSFC and clinical symptoms in early psychosis (EP) patients.
  • To identify transdiagnostic symptom dimensions associated with specific RSFC patterns in EP.
  • To explore the potential of RSFC patterns to inform targeted therapeutic approaches in EP.

Main Methods:

  • Utilized Partial Least Squares correlation analysis on resting-state functional connectivity (RSFC) data from 124 EP patients.
  • Examined RSFC across 216 cortical and subcortical regions.
  • Assessed 41 clinical symptom measures, including positive, negative, general psychopathology, and manic dimensions.

Main Results:

  • Identified a significant latent component linking RSFC and symptoms, explaining 41.6% of the covariance.
  • This component highlighted increased connectivity in sensory-motor, default mode, and subcortical networks (amygdala, thalamus).
  • Associated symptoms included cognitive rigidity and arousal dysregulation (e.g., stereotyped thinking, anxiety), not traditional positive/negative symptoms. Clinical relevance confirmed by correlations with hostility, negative affect, and perceived stress.

Conclusions:

  • Discovered a transdiagnostic phenotype in EP characterized by cognitive inflexibility and arousal dysregulation.
  • This phenotype is associated with altered integration between sensory, default mode, and subcortical brain networks.
  • Findings suggest network-level RSFC patterns may reflect symptom dimensions that transcend diagnostic boundaries, potentially guiding novel therapeutic strategies.