Mental Health Institute of the Second Xiangya Hospital, Central South University, National Clinical Research Center on Mental Health Disorders, National Technology Institute on Mental Disorders, Hunan Key Laboratory of Psychiatry and Mental Health, Changsha, China.
Department of Neurology, The Second Xiangya Hospital, Central South University, Changsha, China.
Prog Neuropsychopharmacol Biol Psychiatry. 2018 Feb 2;81:445-451. doi: 10.1016/j.pnpbp.2017.08.012. Epub 2017 Aug 17.
Human brain is a topologically complex network embedded in anatomical space, and anatomical distance may affect functional connectivity (FC) in schizophrenia. However, little is known if and how this effect occurs in adolescent-onset schizophrenia (AOS).
We explored long- and short-range FC through resting-state functional magnetic resonance imaging in 48 first-episode, drug-naive AOS patients and 31 healthy controls, and we examined if these abnormalities could be utilized to separate patients from controls using receiver operating characteristic curves and support vector machines (SVM).
Patients had increased long-range positive FC (lpFC) and short-range positive FC (spFC) in the right middle frontal gyrus and right superior medial prefrontal cortex within the anterior default mode network (DMN), decreased lpFC and spFC in several regions of the posterior DMN, and decreased lpFC within the important hubs of salience network (SN). The decreased lpFC in the left superior temporal gyrus was positively correlated with cognitive impairment. We found that SVM has high accuracy (up to 92.4%) in classifying patients and control.
Disrupted anatomical distance would underlie network-level dysconnectivity, highlighting the importance of the DMN and SN in the neurodevelopment of schizophrenia. Abnormalities of long- and short-range FC in brain regions could discriminate patients from controls with high accuracy.
人类大脑是嵌入在解剖空间中的拓扑复杂网络,解剖距离可能会影响精神分裂症的功能连接(FC)。然而,目前尚不清楚这种效应是否以及如何在青少年起病的精神分裂症(AOS)中发生。
我们通过对 48 名首次发作、未经药物治疗的 AOS 患者和 31 名健康对照者进行静息态功能磁共振成像,探讨了长程和短程 FC,并使用接收者操作特征曲线和支持向量机(SVM)检查这些异常是否可以用于将患者与对照者区分开来。
患者在前默认模式网络(DMN)的右侧额中回和右侧上内侧前额叶皮质中存在正的长程 FC(lpFC)和短程 FC(spFC)增加,在后 DMN 的多个区域存在 lpFC 和 spFC 减少,以及重要的突显网络(SN)的节点中存在 lpFC 减少。左侧颞上回的 lpFC 减少与认知障碍呈正相关。我们发现 SVM 在分类患者和对照者方面具有很高的准确性(高达 92.4%)。
解剖距离的破坏会导致网络水平的连接中断,突出了 DMN 和 SN 在精神分裂症神经发育中的重要性。大脑区域长程和短程 FC 的异常可以以很高的准确性区分患者和对照者。