Functional Brain Networks Are Dominated by Stable Group and Individual Factors, Not Cognitive or Daily Variation

Caterina Gratton; Timothy O. Laumann; Ashley N. Nielsen; Deanna J. Greene; Evan M. Gordon; Adrian W. Gilmore; Steven M. Nelson; Rebecca S. Coalson; Abraham Z. Snyder; Bradley L. Schlaggar; Nico U.F. Dosenbach; Steven E. Petersen

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Functional Brain Networks Are Dominated by Stable Group and Individual Factors, Not Cognitive or Daily Variation

机译：功能性大脑网络由稳定的组和个人因素主导，而不是认知或日常变异

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The organization of human brain networks can be measured by capturing correlated brain activity with fMRI. There is considerable interest in understanding how brain networks vary across individuals or neuropsychiatric populations or are altered during the performance of specific behaviors. However, the plausibility and validity of such measurements is dependent on the extent to which functional networks are stable over time or are state dependent. We analyzed data from nine high-quality, highly sampled individuals to parse the magnitude and anatomical distribution of network variability across subjects, sessions, and tasks. Critically, we find that functional networks are dominated by common organizational principles and stable individual features, with substantially more modest contributions from task-state and day-to-day variability. Sources of variation were differentially distributed across the brain and differentially linked to intrinsic and task-evoked sources. We conclude that functional networks are suited to measuring stable individual characteristics, suggesting utility in personalized medicine.

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来源
《Neuron》 |2018年第2期|共19页
作者
Caterina Gratton; Timothy O. Laumann; Ashley N. Nielsen; Deanna J. Greene; Evan M. Gordon; Adrian W. Gilmore; Steven M. Nelson; Rebecca S. Coalson; Abraham Z. Snyder; Bradley L. Schlaggar; Nico U.F. Dosenbach; Steven E. Petersen;
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作者单位

Department of Neurology Washington University in St. Louis;

Department of Psychiatry Washington University in St. Louis;

Department of Neurology Washington University in St. Louis;

Department of Psychiatry Washington University in St. Louis;

VISN 17 Center of Excellence for Research on Returning War Veterans;

Department of Psychological &

Brain Sciences Washington University in St. Louis;

VISN 17 Center of Excellence for Research on Returning War Veterans;

Department of Neurology Washington University in St. Louis;

Department of Neurology Washington University in St. Louis;

Department of Neurology Washington University in St. Louis;

Department of Neurology Washington University in St. Louis;

Department of Neurology Washington University in St. Louis;

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原文格式 PDF
正文语种 eng
中图分类神经病学;
关键词
fMRI; functional connectivity; brain networks; individual differences;

机译：FMRI;功能连接;脑网络;个人差异;

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5. Functional Brain Networks Are Dominated by Stable Group and Individual Factors, Not Cognitive or Daily Variation [J] . Caterina Gratton, Timothy O. Laumann, Ashley N. Nielsen, Neuron . 2018,第2期

机译：功能性大脑网络由稳定的组和个人因素主导，而不是认知或日常变异
6. Effects of the Brain-Derived Neurotrophic Factor Val66Met polymorphism and resting brain functional connectivity on individual differences in tactile cognitive performance in healthy young adults [J] . Yang Xuejuan, Xu Ziliang, Liu Lin, Neuropsychologia . 2017,第期

机译：脑源性神经营养因子Val66mmet多态性对健康年轻成年人触觉认知性能的个体差异的影响
7. Effects of the Brain-Derived Neurotrophic Factor Val66Met polymorphism and resting brain functional connectivity on individual differences in tactile cognitive performance in healthy young adults [J] . Yang Xuejuan, Xu Ziliang, Liu Lin, Neuropsychologia . 2017,第期

机译：脑源性神经营养因子Val66mmet多态性对健康年轻成年人触觉认知性能的个体差异的影响
8. Classification of Individuals Based on Sparse Representation of Brain Cognitive Patterns: a Functional MRI Study [C] . M. Ramezani, P. Abolmaesumi, K. Marble, Annual International Conference of the IEEE Engineering in Medicine and Biology Society . 2012

机译：基于脑认知模式稀疏表示的个体分类：功能性MRI研究
9. On Frequency Variation of Dynamic Resting-state Functional Brain Network Activation and Connectivity with Applications to both Healthy and Clinical Populations [D] . Yaesoubi, Maziar. 2016

机译：关于健康和临床群体动态休息状态功能脑网络激活和连通性的频率变化
10. Functional brain networks are dominated by stable group and individual factors not cognitive or daily variation [O] . Caterina Gratton, Timothy O. Laumann, Ashley N. Nielsen, -1

机译：功能性大脑网络受稳定的群体和个体因素支配而不是认知或日常变化
11. Functional Brain Networks Are Dominated by Stable Group and Individual Factors, Not Cognitive or Daily Variation [O] . Caterina Gratton, Timothy O. Laumann, Ashley N. Nielsen, 2018

机译：功能性大脑网络由稳定的组和个人因素主导，而不是认知或日常变异
12. Brain Imaging and rTMS Studies of Individual Differences in Cognitive Processing. [R] . Just, M. A. 2013

机译：脑成像和rTms研究认知加工中的个体差异。

Functional Brain Networks Are Dominated by Stable Group and Individual Factors, Not Cognitive or Daily Variation

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