Wang Jiuju, Dong Wentian, Li Yuqin, Wydell Taeko N, Quan Wenxiang, Tian Ju, Song Yanping, Jiang Lin, Li Fali, Yi Chanlin, Zhang Yangsong, Yao Dezhong, Xu Peng
Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing 100191, China.
The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuroinformation, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave, West Hi-Tech Zone, Chengdu, Sichuan 611731, China; School of Life Science and Technology, Center for Information in Medicine, University of Electronic Science and Technology of China, Chengdu 611731, China.
Psychiatry Res Neuroimaging. 2023 Jun;331:111632. doi: 10.1016/j.pscychresns.2023.111632. Epub 2023 Mar 17.
Auditory verbal hallucinations (AVH) are a core positive symptom of schizophrenia and are regarded as a consequence of the functional breakdown in the related sensory process. Yet, the potential mechanism of AVH is still lacking. In the present study, we explored the difference between AVHs (n = 23) and non-AVHs (n = 19) in schizophrenia and healthy controls (n = 29) by using multidimensional electroencephalograms data during an auditory oddball task. Compared to healthy controls, both AVH and non-AVH groups showed reduced P300 amplitudes. Additionally, the results from brain networks analysis revealed that AVH patients showed reduced left frontal to posterior parietal/temporal connectivity compared to non-AVH patients. Moreover, using the fused network properties of both delta and theta bands as features for in-depth learning made it possible to identify the AVH from non-AVH patients at an accuracy of 80.95%. The left frontal-parietal/temporal networks seen in the auditory oddball paradigm might be underlying biomarkers of AVH in schizophrenia. This study demonstrated for the first time the functional breakdown of the auditory processing pathway in the AVH patients, leading to a better understanding of the atypical brain network of the AVH patients.
听幻觉（AVH）是精神分裂症的一种核心阳性症状，被认为是相关感觉过程功能障碍的结果。然而，AVH的潜在机制仍然缺乏。在本研究中，我们通过在听觉Oddball任务期间使用多维脑电图数据，探索了精神分裂症患者中出现AVH的患者（n = 23）和未出现AVH的患者（n = 19）以及健康对照者（n = 29）之间的差异。与健康对照者相比，AVH组和非AVH组的P300波幅均降低。此外，脑网络分析结果显示，与非AVH患者相比，AVH患者左额叶至顶叶/颞叶的连接性降低。此外，使用δ波和θ波的融合网络特性作为深度学习的特征，可以以80.95%的准确率从非AVH患者中识别出AVH患者。在听觉Oddball范式中观察到的左额叶 - 顶叶/颞叶网络可能是精神分裂症中AVH的潜在生物标志物。本研究首次证明了AVH患者听觉处理通路的功能障碍，有助于更好地理解AVH患者的非典型脑网络。
