Effective connectivity in depression

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• dc.contributor.author Rolls, Edmund T
• dc.contributor.author Cheng, Wei
• dc.contributor.author Gilson, Matthieu
• dc.contributor.author Qiu, Jiang
• dc.contributor.author Hu, Zicheng
• dc.contributor.author Ruan, Hongtao
• dc.contributor.author Li, Yu
• dc.contributor.author Huang, Chu-Chung
• dc.contributor.author Yang, Albert C
• dc.contributor.author Tsai, Shih-Jen
• dc.contributor.author Zhang, Xiaodong
• dc.contributor.author Zhuang, Kaixiang
• dc.contributor.author Lin, Ching-Po
• dc.contributor.author Deco, Gustavo
• dc.contributor.author Xie, Peng
• dc.contributor.author Feng, Jianfeng
• dc.date.accessioned 2021-06-17T07:11:13Z
• dc.date.available 2021-06-17T07:11:13Z
• dc.date.issued 2018
• dc.description.abstract Background: Resting-state functional connectivity reflects correlations in the activity between brain areas, whereas effective connectivity between different brain areas measures directed influences of brain regions on each other. Using the latter approach, we compare effective connectivity results in patients with major depressive disorder (MDD) and control subjects. Methods: We used a new approach to the measurement of effective connectivity, in which each brain area has a simple dynamical model, and known anatomical connectivity is used to provide constraints. This helps the approach to measure the effective connectivity between the 94 brain areas parceled in the automated anatomical labeling (AAL2) atlas, using resting-state functional magnetic resonance imaging. Moreover, we show how the approach can be used to measure the differences in effective connectivity between different groups of individuals, using as an example effective connectivity in the healthy brain and in individuals with depression. The first brainwide resting-state effective-connectivity neuroimaging analysis of depression, with 350 healthy individuals and 336 patients with major depressive disorder, is described. Results: Key findings are that the medial orbitofrontal cortex, implicated in reward and subjective pleasure, has reduced effective connectivity from temporal lobe input areas in depression; that the lateral orbitofrontal cortex, implicated in nonreward, has increased activity (variance) in depression, with decreased effective connectivity to and from cortical areas contralateral to language-related areas; and that the hippocampus, implicated in memory, has increased activity (variance) in depression and increased effective connectivity from the temporal pole. Conclusions: Measurements of effective connectivity made using the new method provide a new approach to causal mechanisms in the brain in depression.
• dc.description.sponsorship JF is a Royal Society Wolfson Research Merit Award holder. JF is also partially supported by the National High Technology Research and Development Program of China (Grant No. 2015AA020507) and the key project of Shanghai Science & Technology Innovation Plan (Grant No. 15JC1400101). The research was partially supported by the National Centre for Mathematics and Interdisciplinary Sciences (NCMIS) of the Chinese Academy of Sciences, Key Program of National Natural Science Foundation of China (Grant No. 91230201), and the Shanghai Soft Science Research Program (Grant No. 15692106604). WC is supported by grants from the National Natural Sciences Foundation of China (Grant No. 81701773, 11771010, 11471081, 11101429, and 71661167002), sponsored by Shanghai Sailing Program (Grant No. 17YF1426200) and the Research Fund for the Doctoral Program of Higher Education of China (Grant No. 2017M610226). C-PL was supported in part by funding from Ministry of Science and Technology, Taiwan (Grant Nos. NSC100–2911-I-010–010, NSC101–2911-I-010–009, NSC100–2628-E−010–002-MY3, NSC102–2321-B-010–023, and NSC103–2911-I-010–501), National Health Research Institutes (Grant Nos. NHRI-EX103–10310EI and NHRI-EX106-10611EI), Ministry of Health and Welfare of Taiwan (Grant No. DOH102-TD-PB-111-NSC006), and Academia Sinica, Taipei, Taiwan. JQ was supported by the National Natural Science Foundation of China (Grant Nos. 31271087, 31470981, 31571137, 31500885), National Outstanding Young People Plan, the Program for the Top Young Talents by Chongqing, the Fundamental Research Funds for the Central Universities (Grant No. SWU1509383), Natural Science Foundation of Chongqing (Grant No. cstc2015jcyjA10106), and a general financial grant from the China Postdoctoral Science Foundation (Grant No. 2015M572423). PX is supported by the National Science Foundation of China (Grant No. NSFC 31271189). The effective connectivity algorithm work was supported by the Human Brain Project (Grant No. FP7-FET-ICT-604102 and H2020–720270 HBP SGA1 to GD) and the Marie Skłodowska-Curie Action (Grant No. H2020-MSCA-656547 to MG).
• dc.format.mimetype application/pdf
• dc.identifier.citation Rolls ET, Cheng W, Gilson M, Qiu J, Hu Z, Ruan H, Li Y, Huang CC, Yang AC, Tsai SJ, Zhang X, Zhuang K, Lin CP, Deco G, Xie P, Feng J. Effective connectivity in depression. Biol Psychiatry. 2018;3(2):187-97. DOI: 10.1016/j.bpsc.2017.10.004
• dc.identifier.doi http://dx.doi.org/10.1016/j.bpsc.2017.10.004
• dc.identifier.issn 0006-3223
• dc.identifier.uri http://hdl.handle.net/10230/47920
• dc.language.iso eng
• dc.publisher Elsevier
• dc.relation.ispartof Biological Psychiatry. 2018;3(2):187-97
• dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/604102
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/720270
• dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/656547
• dc.rights © Elsevier http://dx.doi.org/10.1016/j.bpsc.2017.10.004
• dc.rights.accessRights info:eu-repo/semantics/openAccess
• dc.subject.keyword Depression
• dc.subject.keyword Effective connectivity
• dc.subject.keyword Functional connectivity
• dc.subject.keyword Medial temporal lobe
• dc.subject.keyword Orbitofrontal cortex
• dc.subject.keyword Precuneus
• dc.subject.keyword Resting-state functional neuroimaging
• dc.title Effective connectivity in depression
• dc.type info:eu-repo/semantics/article
• dc.type.version info:eu-repo/semantics/acceptedVersion