Evidence map›Paper›PMID 39920494›Full record

ArticleBrain topography2025

Neurophysiological Markers of Auditory Verbal Hallucinations in Patients with Schizophrenia: An EEG Microstates Study.

Shaobing Li, Ruxin Hu, Huiming Yan, Lijun Chu, Yuying Qiu, Ying Gao, Meijuan Li, Jie Li

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Article in Brain topography, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

8 authors.

Shaobing Li *Institute of Mental Health of Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Hexi District, Tianjin, 300222, China.
Ruxin Hu *Institute of Mental Health of Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Hexi District, Tianjin, 300222, China.
Huiming YanInstitute of Mental Health of Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Hexi District, Tianjin, 300222, China.
Lijun ChuInstitute of Mental Health of Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Hexi District, Tianjin, 300222, China.
Yuying QiuInstitute of Mental Health of Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Hexi District, Tianjin, 300222, China.
Ying GaoInstitute of Mental Health of Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Hexi District, Tianjin, 300222, China.
Meijuan LiInstitute of Mental Health of Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Hexi District, Tianjin, 300222, China.
Jie LiInstitute of Mental Health of Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Road, Hexi District, Tianjin, 300222, China. jieli@tjmhc.com.

Funding

National Natural Science Foundation of China 62027812Tianjin Health Research Project (TJWJ2023MS039), and Natural Science Foundation of Tianjin Municipal Science and Technology Bureau 22JCZDJC00110Tianjin Key Medical Discipline (Specialty) Construction Project TJYXZDXK-033ATianjin Key Medical Discipline (Specialty) Construction Project of Tianjin Health Commission TJWJ2022XK039
6 · The paper itself

Abstract

Alterations in the temporal characteristics of EEG microstates in patients with schizophrenia (SCZ) have been repeatedly found in previous studies. Nevertheless, altered temporal characteristics of EEG microstates in auditory verbal hallucinations (AVHs) SCZ are still unknown. This study aimed to investigate whether SCZ patients with sAVHs exhibit abnormal EEG microstates. We analyzed high-density electroencephalography data that from 79 SCZ patients, including 38 severe AVHs patients (sAVH group), 17 moderate auditory verbal hallucinations patients (mid-AVH group), and 24 without auditory verbal hallucinations patients (non-AVH group). Microstates were compared between three groups. Microstate C exhibited significant differences in duration and coverage and microstate B exhibited significant differences in occurrence between patients with sAVHs and without AVHs. There was a significant negative correlation between the coverage in microstate C and the severity of sAVH. Microstate C in duration, microstate B in occurrence were efficient in detecting sAVH patients. The decreased class C microstates in duration and coverage and increased class B microstates in occurrence may contribute to the severity of symptoms in AVH patients. Furthermore, we have identified that microstates C could serve as potential neurophysiological markers for detecting AVHs in SCZ patients. These results can provide potential avenues for therapeutic intervention of AVHs.

Indexed as

BrainHallucinationsSchizophreniaAdultElectroencephalographyFemaleHumansMaleMiddle AgedYoung AdultEEG microstatesEEG resting stateSchizophreniaSevere auditory verbal hallucination

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.