Cao Miao, Wang Zhijiang, He Yong
State Key Laboratory of Cognitive Neuroscience and Learning and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, People's Republic of China.
Neuropsychiatr Dis Treat. 2015 Oct 29;11:2801-10. doi: 10.2147/NDT.S63470. eCollection 2015.
Psychiatric disorders disturb higher cognitive functions and severely compromise human health. However, the pathophysiological mechanisms underlying psychiatric disorders are very complex, and understanding these mechanisms remains a great challenge. Currently, many psychiatric disorders are hypothesized to reflect "faulty wiring" or aberrant connectivity in the brains. Imaging connectomics is arising as a promising methodological framework for describing the structural and functional connectivity patterns of the human brain. Recently, alterations of brain networks in the connectome have been reported in various psychiatric disorders, and these alterations may provide biomarkers for disease diagnosis and prognosis for the evaluation of treatment efficacy. Here, we summarize the current achievements in both the structural and functional connectomes in several major psychiatric disorders (eg, schizophrenia, attention-deficit/hyperactivity disorder, and autism) based on multi-modal neuroimaging data. We highlight the current progress in the identification of these alterations and the hypotheses concerning the aberrant brain networks in individuals with psychiatric disorders and discuss the research questions that might contribute to a further mechanistic understanding of these disorders from a connectomic perspective.
精神疾病扰乱高级认知功能并严重损害人类健康。然而,精神疾病背后的病理生理机制非常复杂,理解这些机制仍然是一个巨大的挑战。目前,许多精神疾病被假设反映大脑中的“错误连接”或异常连通性。成像连接组学正在成为一种有前景的方法框架,用于描述人类大脑的结构和功能连接模式。最近,在各种精神疾病中都报道了连接组中脑网络的改变,这些改变可能为疾病诊断、预后以及治疗效果评估提供生物标志物。在此,我们基于多模态神经成像数据总结了几种主要精神疾病(如精神分裂症、注意力缺陷多动障碍和自闭症)在结构和功能连接组方面的当前研究成果。我们强调了在识别这些改变以及关于精神疾病患者异常脑网络的假说方面的当前进展,并讨论了可能有助于从连接组学角度进一步深入理解这些疾病机制的研究问题。