Imaging Genetics Center, Mark and Mary Stevens Neuroimaging & Informatics Institute, Keck School of Medicine, University of Southern California, Marina del Rey, CA, USA.
Curr Top Behav Neurosci. 2024;68:371-397. doi: 10.1007/7854_2024_462.
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.
神经影像学为研究与精神疾病相关的大脑变化提供了重要的见解。然而,先前研究中的不一致性需要采用能够可靠地预测疾病严重程度、治疗过程和预后的更具可重复性和可推广性的大脑标志物的方法。随着大型国际研究团队积极汇集数据和资源,以推动共识结果并测试旨在实现精准精神病学目标的新兴方法,范式正在发生转变。与大规模精神病学基因组学研究并行,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大脑特征图谱。本章讨论了开发更好的基于神经影像学的精神疾病工具和标志物的主要挑战、最新发现和路线图。