DYSFUNCTIONAL INTERACTIONS OF SALIENCE NETWORK IN EARLY PSYCHOSIS

Abstract Background Currently, there is increasing attention paid to early psychiatric populations such as first episode of schizophrenia (FES) and clinical high risk for schizophrenia (CHR). Research based on static functional connectivity (FC) has unanimously recognized functional abnormalities in the salience network (SN) of schizophrenia, but there is still controversy over whether these abnormalities will fully extend to the early stages of mental illness. Aims The aim of this study is to evaluate the functional interaction characteristics of early psychiatric salience networks based on network level assessment. Methods This study focuses on data from 26 cases of FES, 20 cases of CHR, and 37 healthy controls (HC). Based on network level, static FC analysis method is used to explore the functional connectivity characteristics within the early mental patient population's saliency network and with advanced cognitive networks (DMN, CEN) and sensory networks (SMN, AN, VN). Use analysis of variance or Kruskal Wallis H-test to compare the intergroup differences of the above indicators, and Spearman correlation analysis to explore the brain behavioral correlation between intergroup difference indicators and clinical and cognitive data of early psychiatric patients. Results Static functional connectivity analysis found that compared to HC, the FC between FES salient network and default network, auditory network decreased or showed a decreasing trend (PSN-DMN=0.038, PSN-AN=0.066). Conclusion Abnormal functional interaction between early psychiatric prominence networks, advanced cognitive networks, and sensory networks in a resting state.

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Publication Details

Journal
The International Journal of Neuropsychopharmacology
Published
2025-02-01
DOI
https://doi.org/10.1093/ijnp/pyae059.394
Primary Topic
Mental Health Research Topics
Type
article
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article

DYSFUNCTIONAL INTERACTIONS OF SALIENCE NETWORK IN EARLY PSYCHOSIS

Lei Zhao, Qijing Bo, Chuanyue Wang
The International Journal of Neuropsychopharmacology
Mental Health Research Topics
article

DYSFUNCTIONAL INTERACTIONS OF SALIENCE NETWORK IN EARLY PSYCHOSIS

Lei Zhao, Qijing Bo, Chuanyue Wang
article en

Abstract

Abstract Background Currently, there is increasing attention paid to early psychiatric populations such as first episode of schizophrenia (FES) and clinical high risk for schizophrenia (CHR). Research based on static functional connectivity (FC) has unanimously recognized functional abnormalities in the salience network (SN) of schizophrenia, but there is still controversy over whether these abnormalities will fully extend to the early stages of mental illness. Aims The aim of this study is to evaluate the functional interaction characteristics of early psychiatric salience networks based on network level assessment. Methods This study focuses on data from 26 cases of FES, 20 cases of CHR, and 37 healthy controls (HC). Based on network level, static FC analysis method is used to explore the functional connectivity characteristics within the early mental patient population's saliency network and with advanced cognitive networks (DMN, CEN) and sensory networks (SMN, AN, VN). Use analysis of variance or Kruskal Wallis H-test to compare the intergroup differences of the above indicators, and Spearman correlation analysis to explore the brain behavioral correlation between intergroup difference indicators and clinical and cognitive data of early psychiatric patients. Results Static functional connectivity analysis found that compared to HC, the FC between FES salient network and default network, auditory network decreased or showed a decreasing trend (PSN-DMN=0.038, PSN-AN=0.066). Conclusion Abnormal functional interaction between early psychiatric prominence networks, advanced cognitive networks, and sensory networks in a resting state.

The International Journal of NeuropsychopharmacologyVol. 28(Supplement_1)
Capital Medical University (CN), Beijing Anding Hospital (CN)
Openalex Percentile: Top 98%
Mental Health Research Topics
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