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ORIGINAL RESEARCH article
Front. Psychiatry
Sec. Psychopathology
Volume 16 - 2025 | doi: 10.3389/fpsyt.2025.1533675
This article is part of the Research Topic Brain Pathology and Rehabilitation Mechanisms of Neuromodulation in Psychiatric Disorders View all 5 articles
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Schizophrenic individuals experience a prolonged prodrome before their first episode, often referred to as Psychosis Risk Syndromes (PRS). The PRS is characterized by non-specific symptoms, yet the underlying neural mechanisms remain unclear.Representational similarity analysis (RSA) has proven effective in elucidating the relationships between different data modalities. This approach could provide valuable insights into the functional coupling between sensory perception and emotion in PRS subjects.In this study, there were 27 PRS subjects and 33 control subjects. Neuropsychological assessments were conducted to evaluate the participants' recent mental states and their risk of mental illness. Each subject underwent task-based functional magnetic resonance imaging (fMRI), which included steady-state visual evoked potentials (SSVEP) and expression matching tasks. The areas of brain activity were defined as regions of interest (ROIs). RSA was used to calculate the relationships between the SSVEP and expression matching tasks. In the functional coupling between the SSVEP at 5 Hz and 10 Hz conditions, the PRS group showed lower functional coupling in the fusiform area compared to controls. Additionally, in the functional coupling between the SSVEP at 10 Hz and the emotion matching conditions, the PRS group demonstrated decreased activation in visual regions compared to controls.Overall, our findings suggest that PRS subjects exhibit diminished functional couplings between basic visual stimuli and vision-emotion matching tasks, indicating abnormal visual processing in both the primary visual cortex and more advanced stages of information processing.
Keywords: Psychosis Risk Syndromes, fMRI, representational similarity analysis, Visual network Psychosis Risk Syndromes, Visual network
Received: 24 Nov 2024; Accepted: 28 Mar 2025.
Copyright: © 2025 Ruan, Zhang, Duan, Yao, Luo and He. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Hui He, The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, Chengdu, Chengdu, Sichuan Province, China
Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
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