Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/87851
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Rehabilitation Sciences | en_US |
dc.creator | Zhang, RB | en_US |
dc.creator | Kranz, GS | en_US |
dc.creator | Zou, WJ | en_US |
dc.creator | Deng, Y | en_US |
dc.creator | Huang, XJ | en_US |
dc.creator | Lin, KG | en_US |
dc.creator | Lee, TMC | en_US |
dc.date.accessioned | 2020-08-19T06:27:46Z | - |
dc.date.available | 2020-08-19T06:27:46Z | - |
dc.identifier.issn | 0278-5846 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/87851 | - |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | © 2019 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license(http://creativecommons.org/licenses/BY-NC-ND/4.0/). | en_US |
dc.rights | The following publication Zhang, R. B. , Kranz, G. S. , Zou, W. J. , Deng, Y. , Huang, X. J. , Lin, K. G. , . . .Lee, T. M. C. (2020). Rumination network dysfunction in major depression: a brain connectome study. Progress in Neuro-Psychopharmacology & Biological Psychiatry, 98, 109819, 1-9 is available at https://dx.doi.org/10.1016/j.pnpbp.2019.109819 | en_US |
dc.subject | Rumination | en_US |
dc.subject | Depression | en_US |
dc.subject | Attentional control | en_US |
dc.subject | Graph theory | en_US |
dc.subject | Functional connectivity | en_US |
dc.title | Rumination network dysfunction in major depression : a brain connectome study | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.spage | 1 | en_US |
dc.identifier.epage | 9 | en_US |
dc.identifier.volume | 98 | en_US |
dc.identifier.doi | 10.1016/j.pnpbp.2019.109819 | en_US |
dcterms.abstract | Background: Rumination is a central feature of major depressive disorder (MDD). Knowledge of the neural structures that underpin rumination offers significant insight into depressive pathophysiology and may help to develop potential intervention strategies for MDD, a mental illness that has become the leading cause of disability worldwide. | en_US |
dcterms.abstract | Methods: Using resting-state fMRI and graph theory, this study adopted a connectome approach to examine the functional topological organization of the neural network associated with rumination in MDD. Data from 96 participants were analyzed, including 51 patients with MDD and 45 healthy controls. | en_US |
dcterms.abstract | Results: We found altered functional integration and segregation of neural networks associated with depressive rumination as indicated by reduced global and local efficiency in MDD patients compared with controls. Interestingly, these metrics correlated positively with depression severity, as measured by the Hamilton Depression Rating Scale. Moreover, mediation analysis indicated that the association between network metrics and depression severity was mediated by the ruminative tendency of patients. Disrupted nodal centralities were located in regions associated with emotional processing, visual mental imagery, and attentional control. | en_US |
dcterms.abstract | Conclusion: Our results highlight rumination as a two-edged sword that reflects a disease-specific neuropathology but also points to a functionality of depressive symptoms with evolutionary meaning. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Progress in neuro-psychopharmacology & biological psychiatry, 2 Mar. 2020, v. 98, 109819, p. 1-9 | en_US |
dcterms.isPartOf | Progress in neuro-psychopharmacology & biological psychiatry | en_US |
dcterms.issued | 2020-03-02 | - |
dc.identifier.isi | WOS:000502527600025 | - |
dc.identifier.scopus | 2-s2.0-85075263650 | - |
dc.identifier.pmid | 31734293 | - |
dc.identifier.eissn | 1878-4216 | en_US |
dc.identifier.artn | 109819 | en_US |
dc.description.validate | 202008 bcrc | en_US |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | a0723-n09, OA_Scopus/WOS | en_US |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | The University of Hong Kong May Endowed Professorship in Neuropsychology; Science and Technology Program of Guangdong (2018B030334001); National Natural Science Foundation of China (NSFC: 81671347 and 31900806); National Key R&D Program of China (2016YFC1306702). | en_US |
dc.description.pubStatus | Published | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
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Zhang_Rumination_Network_Dysfunction.pdf | 1.26 MB | Adobe PDF | View/Open |
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