Institute of Neuroscience and Medicine (INM-1, INM-7), Research Centre Jülich, Jülich, Germany; Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
School of Psychology, University of Nottingham, Nottingham, UK.
Trends Cogn Sci. 2018 Apr;22(4):350-364. doi: 10.1016/j.tics.2018.01.010. Epub 2018 Feb 28.
Many brain regions have been defined, but a comprehensive formalization of each region's function in relation to human behavior is still lacking. Current knowledge comes from various fields, which have diverse conceptions of 'functions'. We briefly review these fields and outline how the heterogeneity of associations could be harnessed to disclose the computational function of any region. Aggregating activation data from neuroimaging studies allows us to characterize the functional engagement of a region across a range of experimental conditions. Furthermore, large-sample data can disclose covariation between brain region features and ecological behavioral phenotyping. Combining these two approaches opens a new perspective to determine the behavioral associations of a brain region, and hence its function and broader role within large-scale functional networks.
许多脑区已经被定义，但全面形式化每个脑区的功能与人类行为之间的关系仍然缺乏。目前的知识来自于不同的领域，这些领域对“功能”有不同的概念。我们简要地回顾了这些领域，并概述了如何利用关联的异质性来揭示任何区域的计算功能。汇总来自神经影像学研究的激活数据，使我们能够在一系列实验条件下描述一个区域的功能参与。此外，大样本数据可以揭示脑区特征与生态行为表型之间的协变。将这两种方法结合起来，为确定脑区的行为关联提供了一个新的视角，从而确定其功能及其在大规模功能网络中的更广泛作用。
