PMID- 32950903 OWN - NLM STAT- MEDLINE DCOM- 20210625 LR - 20210625 IS - 2213-1582 (Electronic) IS - 2213-1582 (Linking) VI - 28 DP - 2020 TI - Altered dynamic effective connectivity of the default mode network in newly diagnosed drug-naive juvenile myoclonic epilepsy. PG - 102431 LID - S2213-1582(20)30268-0 [pii] LID - 10.1016/j.nicl.2020.102431 [doi] LID - 102431 AB - Juvenile myoclonic epilepsy (JME) has been repeatedly revealed to be associated with brain dysconnectivity in the default mode network (DMN). However, the implicit assumption of stationary and nondirectional functional connectivity (FC) in most previous resting-state fMRI studies raises an open question of JME-related aberrations in dynamic causal properties of FC. Here, we introduces an empirical method incorporating sliding-window approach and a multivariate Granger causality analysis to investigate, for the first time, the reorganization of dynamic effective connectivity (DEC) in DMN for patients with JME. DEC was obtained from resting-state fMRI of 34 patients with newly diagnosed and drug-naive JME and 34 matched controls. Through clustering analysis, we found two distinct states that characterize the DEC patterns (i.e., a less frequent, strongly connected state (State 1) and a more frequent, weakly connected state (State 2)). Patients showed altered ECs within DMN subnetworks in the State 2, whereas abnormal ECs between DMN subnetworks were found in the State 1. Furthermore, we observed that the causal influence flows of the medial prefrontal cortex and angular gyrus were altered in a manner of state specificity, and associated with disease severity of patients. Overall, our findings extend the dysconnectivity hypothesis in JME from static to dynamic causal FC and demonstrate that aberrant DEC may underlie abnormal brain function in JME at early phase of illness. CI - Copyright (c) 2020. Published by Elsevier Inc. FAU - Zhang, Zhe AU - Zhang Z AD - Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, Zhejiang University, Zhejiang, China. FAU - Liu, Guangyao AU - Liu G AD - Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China. FAU - Zheng, Weihao AU - Zheng W AD - Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, Zhejiang University, Zhejiang, China. FAU - Shi, Jie AU - Shi J AD - School of Information Science and Engineering, Lanzhou University, Lanzhou, China. FAU - Liu, Hong AU - Liu H AD - Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou, China. FAU - Sun, Yu AU - Sun Y AD - Key Laboratory for Biomedical Engineering of Ministry of Education, Department of Biomedical Engineering, Zhejiang University, Zhejiang, China; Department of Radiology, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Zhejiang, China. Electronic address: yusun@zju.edu.cn. LA - eng PT - Journal Article PT - Research Support, Non-U.S. Gov't DEP - 20200911 PL - Netherlands TA - Neuroimage Clin JT - NeuroImage. Clinical JID - 101597070 RN - 0 (Pharmaceutical Preparations) SB - IM MH - Brain/diagnostic imaging MH - Brain Mapping MH - Default Mode Network MH - Humans MH - Magnetic Resonance Imaging MH - *Myoclonic Epilepsy, Juvenile/diagnostic imaging MH - *Pharmaceutical Preparations PMC - PMC7509229 OTO - NOTNLM OT - Default mode network OT - Dynamic effective connectivity OT - Juvenile myoclonic epilepsy OT - Newly diagnosed drug-naive EDAT- 2020/09/21 06:00 MHDA- 2021/06/29 06:00 PMCR- 2020/09/11 CRDT- 2020/09/20 20:34 PHST- 2020/06/18 00:00 [received] PHST- 2020/08/08 00:00 [revised] PHST- 2020/09/08 00:00 [accepted] PHST- 2020/09/21 06:00 [pubmed] PHST- 2021/06/29 06:00 [medline] PHST- 2020/09/20 20:34 [entrez] PHST- 2020/09/11 00:00 [pmc-release] AID - S2213-1582(20)30268-0 [pii] AID - 102431 [pii] AID - 10.1016/j.nicl.2020.102431 [doi] PST - ppublish SO - Neuroimage Clin. 2020;28:102431. doi: 10.1016/j.nicl.2020.102431. Epub 2020 Sep 11.