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Depression uncouples brain hate circuit
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Tao, H., Guo, Shuixia, Ge, Tian, Kendrick, Keith M., Xue, Z., Liu, Zhening and Feng, Jianfeng (2013) Depression uncouples brain hate circuit. Molecular Psychiatry, Vol.18 . pp. 101-111. doi:10.1038/mp.2011.127 ISSN 1359-4184.
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WRAP_Feng_mp2011127a.pdf - Published Version Available under License Creative Commons Attribution Non-commercial Share Alike. Download (2560Kb) | Preview |
Official URL: http://dx.doi.org/10.1038/mp.2011.127
Abstract
It is increasingly recognized that we need a better understanding of how mental disorders such as depression alter the brain's functional connections to improve both early diagnosis and therapy. A new holistic approach has been used to investigate functional connectivity changes in the brains of patients suffering from major depression using resting-state functional magnetic resonance imaging (fMRI) data. A canonical template of connectivity in 90 different brain regions was constructed from healthy control subjects and this identified a six-community structure with each network corresponding to a different functional system. This template was compared with functional networks derived from fMRI scans of both first-episode and longer-term, drug resistant, patients suffering from severe depression. The greatest change in both groups of depressed patients was uncoupling of the so-called ‘hate circuit’ involving the superior frontal gyrus, insula and putamen. Other major changes occurred in circuits related to risk and action responses, reward and emotion, attention and memory processing. A voxel-based morphometry analysis was also carried out but this revealed no evidence in the depressed patients for altered gray or white matter densities in the regions showing altered functional connectivity. This is the first evidence for the involvement of the ‘hate circuit’ in depression and suggests a potential reappraisal of the key neural circuitry involved. We have hypothesized that this may reflect reduced cognitive control over negative feelings toward both self and others.
Item Type: | Journal Article | ||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Library of Congress Subject Headings (LCSH): | Brain -- Magnetic resonance imaging, Brain -- Physiology, Neural circuitry, Depression, Mental | ||||
Journal or Publication Title: | Molecular Psychiatry | ||||
Publisher: | Nature Publishing Group | ||||
ISSN: | 1359-4184 | ||||
Official Date: | 2013 | ||||
Dates: |
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Volume: | Vol.18 | ||||
Page Range: | pp. 101-111 | ||||
DOI: | 10.1038/mp.2011.127 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Open Access (Creative Commons) | ||||
Date of first compliant deposit: | 19 December 2015 | ||||
Date of first compliant Open Access: | 19 December 2015 | ||||
Funder: | Guo jia zi ran ke xue ji jin wei yuan hui (China) [National Natural Science Foundation of China] (NSFC), Hunan Shi fan da xue [Hunan Normal University] (HNU), China Scholarship Council (CSC), China. Guo jia ke xue ji shu bu [Ministry of Science and Technology] (CMST), European Union (EU), Engineering and Physical Sciences Research Council (EPSRC), Zhongguo ke xue yuan [Chinese Academy of Sciences] (CAS) | ||||
Grant number: | 10901049 (NSFC), 81071092 (NSFC), ET11001 (HNU), 11K038 (HNU), 2007CB512300 (CMST), 2007BAI17B05 (CMST) |
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