Institutional Repository of Key Laboratory of Behavioral Science, CAS
Brain functional changes across mood states in bipolar disorder: from a large-scale network perspective | |
Wu, Yan-Kun1; Su, Yun-Ai1; Li, Le2,3![]() ![]() ![]() | |
第一作者 | Yan Kun Wu |
通讯作者邮箱 | si.tian-mei@163.com (yan, chao-gan) ; myancg@psych.ac.cn (si, tian-mei) |
心理所单位排序 | 2 |
摘要 | BackgroundExploring the neural basis related to different mood states is a critical issue for understanding the pathophysiology underlying mood switching in bipolar disorder (BD), but research has been scarce and inconsistent.MethodsResting-state functional magnetic resonance imaging data were acquired from 162 patients with BD: 33 (hypo)manic, 64 euthymic, and 65 depressive, and 80 healthy controls (HCs). The differences of large-scale brain network functional connectivity (FC) between the four groups were compared and correlated with clinical characteristics. To validate the generalizability of our findings, we recruited a small longitudinal independent sample of BD patients (n = 11). In addition, we examined topological nodal properties across four groups as exploratory analysis.ResultsA specific strengthened pattern of network FC, predominantly involving the default mode network (DMN), was observed in (hypo)manic patients when compared with HCs and bipolar patients in other mood states. Longitudinal observation revealed an increase in several network FCs in patients during (hypo)manic episode. Both samples evidenced an increase in the FC between the DMN and ventral attention network, and between the DMN and limbic network (LN) related to (hypo)mania. The altered network connections were correlated with mania severity and positive affect. Bipolar depressive patients exhibited decreased FC within the LN compared with HCs. The exploratory analysis also revealed an increase in degree in (hypo)manic patients.ConclusionsOur findings identify a distributed pattern of large-scale network disturbances in the unique context of (hypo)mania and thus provide new evidence for our understanding of the neural mechanism of BD. |
关键词 | bipolar disorder brain network mania mood state rs-fMRI |
2023-12-12 | |
语种 | 英语 |
DOI | 10.1017/S0033291723002453 |
发表期刊 | PSYCHOLOGICAL MEDICINE
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ISSN | 0033-2917 |
页码 | 12 |
期刊论文类型 | 实证研究 |
收录类别 | SCI ; SSCI |
资助项目 | National Natural Science Foundation of China[82171529] ; National Natural Science Foundation of China[82071528] ; National Natural Science Foundation of China[82122035] ; Capital Foundation of Medical Research and Development[2022-1-4111] ; Capital Foundation of Medical Research and Development[2020-2-4113] ; National Key Technology RD Program[2015BAI13B01] ; National Key Technology RD Program[2017YFC1309902] ; Sci-Tech Innovation 2030-Major Project of Brain Science and Brain-Inspired Intelligence Technology[2021ZD0200600] ; Chinese Academy of Sciences[XXH13505] ; Chinese Academy of Sciences[ZDBS-SSW-JSC006] ; Beijing Nova Program of Science and Technology[Z191100001119104] ; Scientific Foundation of Institute of Psychology, Chinese Academy of Sciences[E2CX4425YZ] |
出版者 | CAMBRIDGE UNIV PRESS |
WOS关键词 | DEFAULT MODE NETWORK ; NEURONAL VARIABILITY ; PREFRONTAL CORTEX ; RATING-SCALE ; CONNECTIVITY ; DEPRESSION ; MANIA ; DYSFUNCTION ; HYPOMANIA ; EMOTION |
WOS研究方向 | Psychology ; Psychiatry |
WOS类目 | Psychology, Clinical ; Psychiatry ; Psychology |
WOS记录号 | WOS:001122530800001 |
WOS分区 | Q1 |
资助机构 | National Natural Science Foundation of China ; Capital Foundation of Medical Research and Development ; National Key Technology RD Program ; Sci-Tech Innovation 2030-Major Project of Brain Science and Brain-Inspired Intelligence Technology ; Chinese Academy of Sciences ; Beijing Nova Program of Science and Technology ; Scientific Foundation of Institute of Psychology, Chinese Academy of Sciences |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://ir.psych.ac.cn/handle/311026/46760 |
专题 | 中国科学院行为科学重点实验室 |
通讯作者 | Yan, Chao-Gan; Si, Tian-Mei |
作者单位 | 1.Peking Univ, Peking Univ Hosp 6, NHC Key Lab Mental Hlth, Natl Clin Res Ctr Mental Disorders,Inst Mental Hlt, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Psychol, Key Lab Behav Sci, Beijing, Peoples R China 3.Beijing Language & Culture Univ, Ctr Cognit Sci Language, Beijing, Peoples R China 4.PLA Strateg Support Force Characterist Med Ctr, Beijing, Peoples R China 5.Univ New South Wales, Sch Psychiat, Sydney, Australia 6.Prince Wales Hosp, Black Dog Inst, Sydney, Australia |
通讯作者单位 | 中国科学院行为科学重点实验室 |
推荐引用方式 GB/T 7714 | Wu, Yan-Kun,Su, Yun-Ai,Li, Le,et al. Brain functional changes across mood states in bipolar disorder: from a large-scale network perspective[J]. PSYCHOLOGICAL MEDICINE,2023:12. |
APA | Wu, Yan-Kun.,Su, Yun-Ai.,Li, Le.,Zhu, Lin-Lin.,Li, Ke.,...&Si, Tian-Mei.(2023).Brain functional changes across mood states in bipolar disorder: from a large-scale network perspective.PSYCHOLOGICAL MEDICINE,12. |
MLA | Wu, Yan-Kun,et al."Brain functional changes across mood states in bipolar disorder: from a large-scale network perspective".PSYCHOLOGICAL MEDICINE (2023):12. |
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