Task‐evoked functional connectivity does not explain functional connectivity differences between rest and task conditions

During complex tasks, patterns of functional connectivity differ from those in the resting state. However, what accounts for such differences remains unclear. Brain activity during a task reflects an unknown mixture of spontaneous and task‐evoked activities. The difference in functional connectivity...

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Bibliographic Details
Published inHuman brain mapping Vol. 39; no. 12; pp. 4939 - 4948
Main Authors Lynch, Lauren K., Lu, Kun‐Han, Wen, Haiguang, Zhang, Yizhen, Saykin, Andrew J., Liu, Zhongming
Format Journal Article
LanguageEnglish
Published United States John Wiley & Sons, Inc 01.12.2018
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Summary:During complex tasks, patterns of functional connectivity differ from those in the resting state. However, what accounts for such differences remains unclear. Brain activity during a task reflects an unknown mixture of spontaneous and task‐evoked activities. The difference in functional connectivity between a task state and the resting state may reflect not only task‐evoked functional connectivity, but also changes in spontaneously emerging networks. Here, we characterized the differences in apparent functional connectivity between the resting state and when human subjects were watching a naturalistic movie. Such differences were marginally explained by the task‐evoked functional connectivity involved in processing the movie content. Instead, they were mostly attributable to changes in spontaneous networks driven by ongoing activity during the task. The execution of the task reduced the correlations in ongoing activity among different cortical networks, especially between the visual and non‐visual sensory or motor cortices. Our results suggest that task‐evoked activity is not independent from spontaneous activity, and that engaging in a task may suppress spontaneous activity and its inter‐regional correlation.
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Funding information National Institutes of Health, Grant/Award Numbers: UL1 TR001108, TL1 TR001107; NIH, Grant/Award Numbers: R01 AG019771, P30 AG010133, R01MH104402; National Institute of Mental Health
ISSN:1065-9471
1097-0193
1097-0193
DOI:10.1002/hbm.24335