Large-Scale Neuroimaging of Mental Illness.

Christopher R K Ching, Melody J Y Kang, Paul M Thompson
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Abstract

Neuroimaging has provided important insights into the brain variations related to mental illness. Inconsistencies in prior studies, however, call for methods that lead to more replicable and generalizable brain markers that can reliably predict illness severity, treatment course, and prognosis. A paradigm shift is underway with large-scale international research teams actively pooling data and resources to drive consensus findings and test emerging methods aimed at achieving the goals of precision psychiatry. In parallel with large-scale psychiatric genomics studies, international consortia combining neuroimaging data are mapping the transdiagnostic brain signatures of mental illness on an unprecedented scale. This chapter discusses the major challenges, recent findings, and a roadmap for developing better neuroimaging-based tools and markers for mental illness.

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精神疾病的大规模神经成像。
神经影像学为了解与精神疾病有关的脑部变化提供了重要线索。然而,以往研究中存在的不一致性要求采用更多可复制、可推广的大脑标记方法,以可靠地预测疾病的严重程度、治疗过程和预后。随着大规模国际研究团队积极汇集数据和资源,推动达成共识的研究结果,并测试旨在实现精准精神病学目标的新兴方法,模式正在发生转变。在开展大规模精神疾病基因组学研究的同时,结合神经影像学数据的国际联盟正在以前所未有的规模绘制精神疾病的跨诊断脑特征图谱。本章将讨论主要挑战、最新发现以及开发更好的神经影像工具和精神疾病标记物的路线图。
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来源期刊
Current topics in behavioral neurosciences
Current topics in behavioral neurosciences Neuroscience-Behavioral Neuroscience
CiteScore
4.80
自引率
0.00%
发文量
103
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