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박해정(핵의학교실) Neuroimage
등록일 : 2018-01-02 오후 8:57:00       조회 : 751
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제1저자 정계삼(핵의학교실)
교신저자 박해정(핵의학교실)

Neuroimage. 2017 Dec 25. pii: S1053-8119(17)31091-1. doi: 10.1016/j.neuroimage.2017.12.067. [Epub ahead of print]
Effective connectivity during working memory and resting states: A DCM study.
Jung K1, Friston KJ2, Pae C3, Choi H1, Tak S4, Choi YK5, Park B6, Park CA4, Cheong C7, Park HJ8.

Author information
1Department of Nuclear Medicine, Yonsei University College of Medicine, Seoul, South Korea; Center for Systems and Translational Brain Sciences, Institute of Human Complexity and Systems Science, Yonsei University, Seoul, South Korea.2The Wellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom.3Department of Nuclear Medicine, Yonsei University College of Medicine, Seoul, South Korea; Center for Systems and Translational Brain Sciences, Institute of Human Complexity and Systems Science, Yonsei University, Seoul, South Korea; BK21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, South Korea.4Bioimaging Research Team, Korea Basic Science Institute, Cheongju-si, Chungcheongbuk-do, South Korea.5Department of Nuclear Medicine, Yonsei University College of Medicine, Seoul, South Korea; Center for Systems and Translational Brain Sciences, Institute of Human Complexity and Systems Science, Yonsei University, Seoul, South Korea; Department of Cognitive Science, Yonsei University, Seoul, South Korea.6Center for Systems and Translational Brain Sciences, Institute of Human Complexity and Systems Science, Yonsei University, Seoul, South Korea; Department of Statistics, Hankuk University of Foreign Studies, Yong-In, South Korea.7Bioimaging Research Team, Korea Basic Science Institute, Cheongju-si, Chungcheongbuk-do, South Korea; Department of Bioconvergence Analysis, Korea Basic Science Institute, Cheongju-si, Chungcheongbuk-do, South Korea.8Department of Nuclear Medicine, Yonsei University College of Medicine, Seoul, South Korea; Center for Systems and Translational Brain Sciences, Institute of Human Complexity and Systems Science, Yonsei University, Seoul, South Korea; BK21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul, South Korea; Department of Cognitive Science, Yonsei University, Seoul, South Korea. Electronic address: parkhj@yuhs.ac.

Abstract
Although the relationship between resting-state functional connectivity and task-related activity has been addressed, the relationship between task and resting-state directed or effective connectivity - and its behavioral concomitants - remains elusive. We evaluated effective connectivity under an N-back working memory task in 24 participants using stochastic dynamic causal modelling (DCM) of 7 Tesla fMRI data. We repeated the analysis using resting-state data, from the same subjects, to model connectivity among the same brain regions engaged by the N-back task. This allowed us to: (i) examine the relationship between intrinsic (task-independent) effective connectivity during resting (Arest) and task states (Atask), (ii) cluster phenotypes of task-related changes in effective connectivity (Btask) across participants, (iii) identify edges (Btask) showing high inter-individual effective connectivity differences and (iv) associate reaction times with the similarity between Btask and Arest in these edges. We found a strong correlation between Arest and Atask over subjects but a marked difference between Btask and Arest. We further observed a strong clustering of individuals in terms of Btask, which was not apparent in Arest. The task-related effective connectivity Btask varied highly in the edges from the parietal to the frontal lobes across individuals, so the three groups were clustered mainly by the effective connectivity within these networks. The similarity between Btask and Arest at the edges from the parietal to the frontal lobes was positively correlated with 2-back reaction times. This result implies that a greater change in context-sensitive coupling - from resting-state connectivity - is associated with faster reaction times. In summary, task-dependent connectivity endows resting-state connectivity with a context sensitivity, which predicts the speed of information processing during the N-back task.
서유정(내과학교실) Sci Rep 2018-01-17
손승환 유제욱(미생물학교실) J Biol Chem 2017-12-26