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000908196 1001_ $$0P:(DE-HGF)0$$aChang, Shen-Da$$b0
000908196 245__ $$aBrain Reactions to Opening and Closing the Eyes: Salivary Cortisol and Functional Connectivity
000908196 260__ $$aDordrecht [u.a.]$$bSpringer Science + Business Media B.V$$c2022
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000908196 520__ $$aThis study empirically assessed the strength and duration of short-term effects induced by brain reactions to closing/opening the eyes on a few well-known resting-state networks. We also examined the association between these reactions and subjects' cortisol levels. A total of 55 young adults underwent 8-min resting-state fMRI (rs-fMRI) scans under 4-min eyes-closed and 4-min eyes-open conditions. Saliva samples were collected from 25 of the 55 subjects before and after the fMRI sessions and assayed for cortisol levels. Our empirical results indicate that when the subjects were relaxed with their eyes closed, the effect of opening the eyes on conventional resting-state networks (e.g., default-mode, frontal-parietal, and saliency networks) lasted for roughly 60-s, during which we observed a short-term increase in activity in rs-fMRI time courses. Moreover, brain reactions to opening the eyes had a pronounced effect on time courses in the temporo-parietal lobes and limbic structures, both of which presented a prolonged decrease in activity. After controlling for demographic factors, we observed a significantly positive correlation between pre-scan cortisol levels and connectivity in the limbic structures under both conditions. Under the eyes-closed condition, the temporo-parietal lobes presented significant connectivity to limbic structures and a significantly positive correlation with pre-scan cortisol levels. Future research on rs-fMRI could consider the eyes-closed condition when probing resting-state connectivity and its neuroendocrine correlates, such as cortisol levels. It also appears that abrupt instructions to open the eyes while the subject is resting quietly with eyes closed could be used to probe brain reactivity to aversive stimuli in the ventral hippocampus and other limbic structures.
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000908196 7001_ $$0P:(DE-HGF)0$$aKuo, Po-Chih$$b1
000908196 7001_ $$0P:(DE-Juel1)131714$$aZilles, Karl$$b2
000908196 7001_ $$0P:(DE-HGF)0$$aDuong, Tim Q.$$b3
000908196 7001_ $$0P:(DE-Juel1)131678$$aEickhoff, Simon$$b4
000908196 7001_ $$0P:(DE-HGF)0$$aHuang, Andrew C. W.$$b5
000908196 7001_ $$0P:(DE-HGF)0$$aTsai, Arthur C.$$b6
000908196 7001_ $$0P:(DE-HGF)0$$aCheng, Philip E.$$b7
000908196 7001_ $$0P:(DE-HGF)0$$aLiou, Michelle$$b8$$eCorresponding author
000908196 773__ $$0PERI:(DE-600)2015003-9$$a10.1007/s10548-022-00897-x$$n4$$p375-397$$tBrain topography$$v35$$x0896-0267$$y2022
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000908196 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$a Institute of Statistical Science, Academia Sinica, Taipei, Taiwan$$b0
000908196 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$a National Tsing Hua University, Hsinchu, Taiwan$$b1
000908196 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131714$$aForschungszentrum Jülich$$b2$$kFZJ
000908196 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$a Albert Einstein College of Medicine, New York$$b3
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000908196 9101_ $$0I:(DE-HGF)0$$6P:(DE-Juel1)131678$$a HHU Düsseldorf$$b4
000908196 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$a Fo-Guang University, Yilan, Taiwan$$b5
000908196 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$a Institute of Statistical Science, Academia Sinica, Taipei, Taiwan$$b6
000908196 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$a Institute of Statistical Science, Academia Sinica, Taipei, Taiwan$$b7
000908196 9101_ $$0I:(DE-HGF)0$$6P:(DE-HGF)0$$a Institute of Statistical Science, Academia Sinica, Taipei, Taiwan$$b8
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