神经影像学
神经功能成像
计算机科学
认知
脑功能
认知神经科学
大脑活动与冥想
静息状态功能磁共振成像
神经科学
数据科学
心理学
认知心理学
人工智能
脑电图
作者
Katherine J. Michon,Dalia Khammash,Molly Simmonite,Abbey M. Hamlin,Thad A. Polk
出处
期刊:NeuroImage
[Elsevier BV]
日期:2022-11-01
卷期号:263: 119589-119589
被引量:28
标识
DOI:10.1016/j.neuroimage.2022.119589
摘要
Most neuroimaging studies of brain function analyze data in normalized space to identify regions of common activation across participants. These studies treat interindividual differences in brain organization as noise, but this approach can obscure important information about the brain's functional architecture. Recently, a number of studies have adopted a person-specific approach that aims to characterize these individual differences and explore their reliability and implications for behavior. A subset of these studies has taken a precision imaging approach that collects multiple hours of data from each participant to map brain function on a finer scale. In this review, we provide a broad overview of how person-specific and precision imaging techniques have used resting-state measures to examine individual differences in the brain's organization and their impact on behavior, followed by how task-based activity continues to add detail to these discoveries. We argue that person-specific and precision approaches demonstrate substantial promise in uncovering new details of the brain's functional organization and its relationship to behavior in many areas of cognitive neuroscience. We also discuss some current limitations in this new field and some new directions it may take.
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