Inter-individual differences in resting-state functional connectivity predict task-induced BOLD activity.

Inter-individual differences in resting-state functional connectivity predict task-induced BOLD activity.
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DOI:
10.1016/j.neuroimage.2010.01.002
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发表时间:
2010-05-01
期刊:
影响因子:
5.7
通讯作者:
Milham, Michael P.
Milham, Michael P.
中科院分区:
医学1区
文献类型:
--
作者:
Mennes, Maarten;Kelly, Clare;Zuo, Xi-Nian;Di Martino, Adriana;Biswal, Bharat B.;Castellanos, F. Xavier;Milham, Michael P.

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The resting brain exhibits coherent patterns of spontaneous low-frequency BOLD fluctuations. These so-called resting-state functional connectivity (RSFC) networks are posited to reflect intrinsic representations of functional systems commonly implicated in cognitive function. Yet, the direct relationship between RSFC and the BOLD response induced by task performance remains unclear. Here we examine the relationship between a region’s pattern of RSFC across participants, and that same region’s level of BOLD activation during an Eriksen Flanker task. To achieve this goal we employed a voxel-matched regression method, which assessed whether the magnitude of task-induced activity at each brain voxel could be predicted by measures of RSFC strength for the same voxel, across 26 healthy adults. We examined relationships between task-induced activation and RSFC strength for 6 different seed regions, as well as the “default mode” and “task-positive” resting-state networks in their entirety. Our results indicate that, for a number of brain regions, inter-individual differences in task-induced BOLD activity were predicted by one of two resting-state properties: 1) the region’s positive connectivity strength with the task-positive network, or 2) its negative connectivity with the default mode network. Strikingly, most of the regions exhibiting a significant relationship between their RSFC properties and task-induced BOLD activity were located in transition zones between the default mode and task-positive networks. These results suggest that a common mechanism governs many brain regions’ neural activity during rest and its neural activity during task performance.
DOI: 10.1073/pnas.0504136102
发表时间: 2005-07-05
影响因子: 11.1
作者:
Fox, MD;Snyder, AZ;Raichle, ME
通讯作者: Raichle, ME
DOI: 10.1016/j.neuroimage.2009.04.034
发表时间: 2009-08-01
期刊: NeuroImage
影响因子: 5.7
作者:
Brown JW
通讯作者: Brown JW
DOI: 10.1176/appi.ajp.2009.08121894
发表时间: 2009-08
期刊: The American journal of psychiatry
影响因子: --
作者:
Di Martino A;Shehzad Z;Kelly C;Roy AK;Gee DG;Uddin LQ;Gotimer K;Klein DF;Castellanos FX;Milham MP
通讯作者: Milham MP
DOI: 10.1016/j.cub.2009.04.028
发表时间: 2009-06-23
期刊: Current biology : CB
影响因子: --
作者:
Albert NB;Robertson EM;Miall RC
通讯作者: Miall RC
DOI: 10.1371/journal.pone.0006626
发表时间: 2009-08-14
期刊: PloS one
影响因子: 3.7
作者:
Barnes A;Bullmore ET;Suckling J
通讯作者: Suckling J