Poster No:
485
Submission Type:
Abstract Submission
Authors:
Yongfeng Yang1, Xue Li1, Hongyan Yu1, Qing Liu1, Luwen Zhang1, Xi Su1, Bing Liu2, Luxian Lv1, Wenqiang Li1
Institutions:
1the Second Affiliated Hospital of Xinxiang Medical University, Xinxiang, HENAN, 2Beijing Normal University, Beijing, Beijing
First Author:
Yongfeng Yang
the Second Affiliated Hospital of Xinxiang Medical University
Xinxiang, HENAN
Co-Author(s):
Xue Li
the Second Affiliated Hospital of Xinxiang Medical University
Xinxiang, HENAN
Hongyan Yu
the Second Affiliated Hospital of Xinxiang Medical University
Xinxiang, HENAN
Qing Liu
the Second Affiliated Hospital of Xinxiang Medical University
Xinxiang, HENAN
Luwen Zhang
the Second Affiliated Hospital of Xinxiang Medical University
Xinxiang, HENAN
Xi Su
the Second Affiliated Hospital of Xinxiang Medical University
Xinxiang, HENAN
Bing Liu
Beijing Normal University
Beijing, Beijing
Luxian Lv
the Second Affiliated Hospital of Xinxiang Medical University
Xinxiang, HENAN
Wenqiang Li
the Second Affiliated Hospital of Xinxiang Medical University
Xinxiang, HENAN
Introduction:
Schizophrenia is a severe chronic mental disorder with a lifetime prevalence of about 1%. Antipsychotic drug treatment for schizophrenia can alter brain structure and function, but it is unclear if specific regional changes are associated with treatment outcome. Little is known about the effects of antipsychotics on brain tissue density or functional connectivity (FC) Therefore, we examined the effects of antipsychotic drug treatment on regional grey matter (GM) density, white matter (WM) density, and FC as well as associations between regional changes and treatment efficacy.
Methods:
We examined the effects of antipsychotic drug treatment on regional grey matter (GM) density, white matter (WM) density, and functional connectivity (FC) as well as associations between regional changes and treatment efficacy. SZ patients (n=163) and health controls (HCs) (n=131) were examined by structural magnetic resonance imaging (sMRI) at baseline, and a subset of SZ patients (n=77) were re-examined after 8 weeks of second-generation antipsychotic treatment to assess changes in regional GM and WM density. In addition, 88 SZ patients and 81 HCs were examined by resting-state functional MRI (rs-fMRI) at baseline and the patients were re-examined post-treatment to examine FC changes. The Positive and Negative Syndrome Scale (PANSS) and MATRICS Consensus Cognitive Battery (MCCB) were applied to measure psychiatric symptoms and cognitive impairments in SZ. SZ patients were then stratified into response and non-response groups according to PANSS score change (≥50% decrease or <50% decrease, respectively).
Results:
The demographic and clinical characteristics of the 163 SZ patients and 131 HCs are analyses. There were no significant differences in age or sex ratio between the total SZ and HC cohorts, while years of education was significantly lower in the patient cohort. Regions exhibiting WM density reductions included the inferior frontal gyrus, orbital gyrus, inferior temporal gyrus, parahippocampal gyrus, cingulate, medioventral occipital cortex, lateral occipital cortex, basal ganglia, and thalamus. The GM density of the right cingulate gyrus, WM density of the right superior frontal gyrus (SFG) plus 5 other WM tracts were reduced in the response group (n=44 ) compared to the non-response group (n=33). The FC values between the right anterior cingulate and both paracingulate gyrus and left thalamus were reduced in the entire SZ group (n=88) after treatment, while FC between the right inferior temporal gyrus (ITG) and right medial superior frontal gyrus (SFGmed) was increased in the response group. Partial correlation analyses with age, sex, illness duration, and years of education as covariates yielded no significant relationships between clinical scores and individual FC changes.
Conclusions:
These findings suggest that the right SFG is a critical target of antipsychotic drugs and that WM density and FC alterations within this region could be used as potential indicators in predicting the treatment outcome of antipsychotics of SZ.
Disorders of the Nervous System:
Psychiatric (eg. Depression, Anxiety, Schizophrenia) 1
Modeling and Analysis Methods:
fMRI Connectivity and Network Modeling 2
Keywords:
MRI
Psychiatric
Schizophrenia
1|2Indicates the priority used for review

·FC Changes before and after treatment in the SZ. FC between the ITG and the right medial SFG (SFGmed) was strengthened in the response group.
Provide references using author date format
Li, X.(2023), 'Abnormalities of Regional Brain Activity in Patients With Schizophrenia: A Longitudinal Resting-State fMRI Study, Schizophrenia Bulltin', vol. 49, no.5, pp.1336-1344.
Yang Y. Y. (2022) 'Abnormal patterns of regional homogeneity and functional connectivity across the adolescent first-episode, adult first-episode and adult chronic schizophrenia'. Neuroimage: Clinical, vol, 36. pp.103198.
Fan, L.Z., (2016) 'The Human Brainnetome Atlas: A new brain atlas based on connectional architecture', Cereb Cortex, vol. 26, pp. 3508-3526.
Zhang Z., (2021) 'Dynamic functional connectivity and its anatomical substrate reveal treatment outcome in first-episode drug-naïve schizophrenia', Translation Psychiatry .vol. 11, no. 1, pp.282.