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功能脑组织结构表示法的挑战与未来方向。

Challenges and future directions for representations of functional brain organization.

机构信息

Mallinckrodt Institute of Radiology, Washington University in St Louis, Saint Louis, MO, USA.

Centre for Functional MRI of the Brain (FMRIB), Wellcome Centre for Integrative Neuroimaging, Nuffield Department of Clinical Neurosciences, University of Oxford. John Radcliffe Hospital, Oxford, UK.

出版信息

Nat Neurosci. 2020 Dec;23(12):1484-1495. doi: 10.1038/s41593-020-00726-z. Epub 2020 Oct 26.

Abstract

A key principle of brain organization is the functional integration of brain regions into interconnected networks. Functional MRI scans acquired at rest offer insights into functional integration via patterns of coherent fluctuations in spontaneous activity, known as functional connectivity. These patterns have been studied intensively and have been linked to cognition and disease. However, the field is fractionated. Diverging analysis approaches have segregated the community into research silos, limiting the replication and clinical translation of findings. A primary source of this fractionation is the diversity of approaches used to reduce complex brain data into a lower-dimensional set of features for analysis and interpretation, which we refer to as brain representations. In this Primer, we provide an overview of different brain representations, lay out the challenges that have led to the fractionation of the field and that continue to form obstacles for convergence, and propose concrete guidelines to unite the field.

摘要

大脑组织的一个关键原则是将大脑区域整合到相互连接的网络中。通过对自发活动中相干波动模式的研究,即功能连接,静息态功能磁共振扫描为功能整合提供了深入的见解。这些模式已经得到了深入的研究,并与认知和疾病有关。然而,该领域存在分化。不同的分析方法将该领域的研究人员分割成不同的研究领域,限制了研究结果的复制和临床转化。造成这种分化的一个主要原因是,人们使用不同的方法将复杂的大脑数据简化为一组用于分析和解释的低维特征,我们称之为大脑表征。在这篇专题论文中,我们概述了不同的大脑表征,阐述了导致该领域分化的挑战,以及继续为融合形成障碍的挑战,并提出了具体的指导方针来统一该领域。

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