From the Departments of Radiology (L.B.C., F.G., G.C., C.L., Y.B.X., H.Y.) and Psychiatry (Y.C.C., M.X., H.N.W.), Xijing Hospital, Fourth Military Medical University, No. 127 W Changle Road, Xi'an, Shaanxi 710032, China; and School of Life Sciences and Technology, Xidian University, Xi'an, Shaanxi, China (L.L., W.Q., J.B.S.).
Radiology. 2017 Jun;283(3):810-819. doi: 10.1148/radiol.2016160938. Epub 2017 Jan 3.
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.
目的 探究听觉言语幻觉(AVH)特异性脑活动模式,这些模式被认为是精神分裂症(SZ)神经机制的基础。
材料和方法 本横断面研究经当地伦理委员会批准,并前瞻性招募所有参与者均获得书面知情同意。采用独立成分分析(ICA)研究 17 例首发未治疗伴有 AVH 的 SZ 患者、15 例不伴有 AVH 的 SZ 患者和 19 例健康对照者的静息态功能磁共振成像(rs-fMRI)。采用双回归进行组间分析。然后使用低频振幅(ALFF)在 RSN 内探索局部脑功能。采用两样本 t 检验比较两组患者的局部脑功能,采用 Pearson 相关分析描述影像学发现与 AVH 严重程度的关系。采用受试者工作特征(ROC)分析评估这些脑功能指标的诊断性能。
结果 ICA 显示,在听觉、默认模式、执行、运动和顶枕叶网络中存在与症状相关的异常协同激活中断,在听觉皮层、缘上回、岛叶、壳核、背外侧前额叶、角回、楔前叶和丘脑更为明显(P <.05,经假发现率校正)。在这些 RSN 中也进行了低频振幅分析,显示出相似的模式(P <.05,经假发现率校正)。此外,在伴有 AVH 的 SZ 患者中,运动网络内协同激活程度与 AVH 严重程度呈正相关(r = 0.67,P =.003)。所有 RSN 的 ROC 曲线下面积为 0.76-0.90。
结论 这些发现表明,伴有 AVH 的 SZ 患者的大脑功能障碍区域参与听觉处理、语言产生和监测以及感觉信息过滤,这可能有助于进一步了解 SZ 中 AVH 的病理生理相关性。本文提供了在线补充材料。