Literature DB >> 28045645

Disturbed Brain Activity in Resting-State Networks of Patients with First-Episode Schizophrenia with Auditory Verbal Hallucinations: A Cross-sectional Functional MR Imaging Study.

Long-Biao Cui1, Lin Liu1, Fan Guo1, Yun-Chun Chen1, Gang Chen1, Min Xi1, Wei Qin1, Jin-Bo Sun1, Chen Li1, Yi-Bin Xi1, Hua-Ning Wang1, Hong Yin1.   

Abstract

Purpose To investigate auditory verbal hallucination (AVH)-specific patterns of brain activity within the resting-state networks (RSNs) that have been proposed to underpin the neural mechanisms of schizophrenia (SZ). Materials and Methods This cross-sectional study was approved by the local ethics committee, and written informed consent was obtained from all participants prospectively recruited. Independent component analysis was used to investigate RSNs in 17 patients with first-episode untreated SZ with AVHs, 15 patients with SZ without AVHs, and 19 healthy control subjects who underwent resting-state functional magnetic resonance imaging. Dual regression was implemented to perform between-group analysis. Regional brain function was then explored within RSNs by using the amplitude of low-frequency fluctuation. Two-sample t tests were used to compare regional brain function between the two patient groups, and Pearson correlation analysis was used to characterize the relationship between imaging findings and severity of AVHs. Receiver operating characteristic analysis was used to evaluate the diagnostic performance of these brain function measures. Results Independent component analysis demonstrated symptom-specific abnormal disrupted coactivation within the auditory, default mode, executive, motor, and frontoparietal networks and was pronounced in the auditory cortex, supramarginal gyrus, insula, putamen, dorsolateral prefrontal cortex, angular gyrus, precuneus, and thalamus (P < .05 with false discovery rate correction). Amplitude of low-frequency fluctuation analysis demonstrated similar patterns within these RSNs (P < .05 with false discovery rate correction). Furthermore, a positive correlation between the degree of coactivation within the motor network and the severity of AVHs was observed in patients with SZ with AVHs (r = 0.67, P = .003). The area under the receiver operating characteristic curve was 0.76-0.90 for all RSNs. Conclusion These findings indicate that dysfunctional brain regions are involved in auditory processing, language production and monitoring, and sensory information filtering in patients with SZ with AVHs, which may be helpful in furthering the understanding of pathophysiological correlates of AVHs in SZ. Online supplemental material is available for this article.

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Year:  2017        PMID: 28045645     DOI: 10.1148/radiol.2016160938

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  17 in total

1.  Altered Effective Connectivity in Schizophrenic Patients With Auditory Verbal Hallucinations: A Resting-State fMRI Study With Granger Causality Analysis.

Authors:  Jie Gao; Dongsheng Zhang; Lei Wang; Wei Wang; Yajuan Fan; Min Tang; Xin Zhang; Xiaoyan Lei; Yarong Wang; Jian Yang; Xiaoling Zhang
Journal:  Front Psychiatry       Date:  2020-06-24       Impact factor: 4.157

2.  Abnormalities of intrinsic regional brain activity in first-episode and chronic schizophrenia: a meta-analysis of resting-state functional MRI

Authors:  Jiaying Gong; Junjing Wang; Xiaomei Luo; Guanmao Chen; Huiyuan Huang; Ruiwang Huang; Li Huang; Ying Wang
Journal:  J Psychiatry Neurosci       Date:  2020-01-01       Impact factor: 6.186

3.  Disease Definition for Schizophrenia by Functional Connectivity Using Radiomics Strategy.

Authors:  Long-Biao Cui; Lin Liu; Hua-Ning Wang; Liu-Xian Wang; Fan Guo; Yi-Bin Xi; Ting-Ting Liu; Chen Li; Ping Tian; Kang Liu; Wen-Jun Wu; Yi-Huan Chen; Wei Qin; Hong Yin
Journal:  Schizophr Bull       Date:  2018-08-20       Impact factor: 9.306

4.  Distinct Brain Dynamic Functional Connectivity Patterns in Schizophrenia Patients With and Without Auditory Verbal Hallucinations.

Authors:  Yao Zhang; Jia Wang; Xin Lin; Min Yang; Shun Qi; Yuhan Wang; Wei Liang; Huijie Lu; Yan Zhang; Wensheng Zhai; Wanting Hao; Yang Cao; Peng Huang; Jianying Guo; Xuehui Hu; Xia Zhu
Journal:  Front Hum Neurosci       Date:  2022-04-07       Impact factor: 3.169

5.  Aberrant perfusion and its connectivity within default mode network of first-episode drug-naïve schizophrenia patients and their unaffected first-degree relatives.

Authors:  Long-Biao Cui; Liu-Xian Wang; Ping Tian; Hua-Ning Wang; Min Cai; Fan Guo; Chen Li; Yu-Jing Wu; Peng-Gang Qiao; Zi-Liang Xu; Lin Liu; Hong He; Wen-Jun Wu; Yi-Bin Xi; Hong Yin
Journal:  Sci Rep       Date:  2017-11-23       Impact factor: 4.379

6.  Combination of volume and perfusion parameters reveals different types of grey matter changes in schizophrenia.

Authors:  Lixue Xu; Wen Qin; Chuanjun Zhuo; Huaigui Liu; Jiajia Zhu; Chunshui Yu
Journal:  Sci Rep       Date:  2017-03-27       Impact factor: 4.379

7.  N-Acetyl-Aspartate in the dorsolateral prefrontal cortex in men with schizophrenia and auditory verbal hallucinations: A 1.5 T Magnetic Resonance Spectroscopy Study.

Authors:  Marion Psomiades; Marine Mondino; Clara Fonteneau; Remy Bation; Frederic Haesebaert; Marie-Françoise Suaud-Chagny; Jerome Brunelin
Journal:  Sci Rep       Date:  2018-03-07       Impact factor: 4.379

8.  Aberrant Executive Control and Auditory Networks in Recent-Onset Schizophrenia.

Authors:  Sung Woo Joo; Woon Yoon; Young Tak Jo; Harin Kim; Yangsik Kim; Jungsun Lee
Journal:  Neuropsychiatr Dis Treat       Date:  2020-06-22       Impact factor: 2.570

9.  Identifying first-episode drug naïve patients with schizophrenia with or without auditory verbal hallucinations using whole-brain functional connectivity: A pattern analysis study.

Authors:  Peng Huang; Long-Biao Cui; Xiangrui Li; Zhong-Lin Lu; Xia Zhu; Yibin Xi; Huaning Wang; Baojuan Li; Fang Hou; Danmin Miao; Hong Yin
Journal:  Neuroimage Clin       Date:  2018-04-26       Impact factor: 4.881

10.  Thalamus Radiomics-Based Disease Identification and Prediction of Early Treatment Response for Schizophrenia.

Authors:  Long-Biao Cui; Ya-Juan Zhang; Hong-Liang Lu; Lin Liu; Hai-Jun Zhang; Yu-Fei Fu; Xu-Sha Wu; Yong-Qiang Xu; Xiao-Sa Li; Yu-Ting Qiao; Wei Qin; Hong Yin; Feng Cao
Journal:  Front Neurosci       Date:  2021-07-05       Impact factor: 4.677

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