The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
Depression uncouples brain hate circuit
Open accessAbstract
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.
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Cites
Functional connectivity in the motor cortex of resting human brain using echo‐planar mri
Biswal, B., Zerrin Yetkin, F., Haughton, V. M., & Hyde, J. S. (1995) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1910340409 · Cited by 9,812
The human brain is intrinsically organized into dynamic, anticorrelated functional networks
Fox, M. D., Snyder, A. Z., Vincent, J. L., Corbetta, M., Van Essen, D. C., & Raichle, M. E. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0504136102 · Cited by 8,553
How do you feel — now? The anterior insula and human awareness
(Bud) Craig, A. D. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2555 · Cited by 6,657 · cited 1×
“Altered functioning of the insular cortex has been found in a number of psychiatric disorders, including depression (39).”
BackgroundFunctional connectivity in the resting brain: a network analysis of the default mode hypothesis
Greicius, M. D., Krasnow, B., Reiss, A. L., & Menon, V. (2003) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0135058100 · Cited by 6,358
Correspondence of the brain's functional architecture during activation and rest
Smith, S. M., Fox, P. T., Miller, K. L., Glahn, D. C., Fox, P. M., Mackay, C. E., Filippini, N., Watkins, K. E., Toro, R., Laird, A. R., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0905267106 · Cited by 5,150
The interaction of TIGIT with PVR and PVRL2 inhibits human NK cell cytotoxicity
Stanietsky, N., Simic, H., Arapovic, J., Toporik, A., Levy, O., Novik, A., Levine, Z., Beiman, M., Dassa, L., Achdout, H., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0903474106 · Cited by 3,524
DPARSF: a MATLAB toolbox for “pipeline” data analysis of resting-state fMRI
Yan (2010) · Frontiers in System Neuroscience · doi:10.3389/fnsys.2010.00013 · Cited by 3,475
KRINGELBACH, M. (2004) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2004.03.006 · Cited by 1,977
The functional role of the parieto-frontal mirror circuit: interpretations and misinterpretations
Rizzolatti, G., & Sinigaglia, C. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2805 · Cited by 1,680
The neural correlates of maternal and romantic love
Bartels, A., & Zeki, S. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2003.11.003 · Cited by 1,497 · cited 1×
“they hate (16), although interestingly they are also affected similarly by seeing people you love, or have loved but recently been rejected by (16, 26-28).”
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Cited by
Resting state networks in major depressive disorder
Dutta, A., McKie, S., & Deakin, J. F. W. (2014) · Psychiatry Research: Neuroimaging · doi:10.1016/j.pscychresns.2014.10.003 · Cited by 218
Striatum-Based Circuitry of Adolescent Depression and Anhedonia
Gabbay, V., Ely, B. A., Li, Q., Bangaru, S. D., Panzer, A. M., Alonso, C. M., Castellanos, F. X., & Milham, M. P. (2013) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2013.04.003 · Cited by 222
Wang, L., Xia, M., Li, K., Zeng, Y., Su, Y., Dai, W., Zhang, Q., Jin, Z., Mitchell, P. B., Yu, X., et al. (2015) · Human Brain Mapping · doi:10.1002/hbm.22663 · Cited by 166
Wang, Y., Wang, J., Jia, Y., Zhong, S., Zhong, M., Sun, Y., Niu, M., Zhao, L., Zhao, L., Pan, J., et al. (2017) · Translational Psychiatry · doi:10.1038/tp.2017.117 · Cited by 133
Cui, H., Zhang, J., Liu, Y., Li, Q., Li, H., Zhang, L., Hu, Q., Cheng, W., Luo, Q., Li, J., et al. (2016) · Human Brain Mapping · doi:10.1002/hbm.23113 · Cited by 123
Self-citation
Metadata
- Authors
- Tao, H., Guo, S., Ge, T., Kendrick, K. M., Xue, Z., Liu, Z., & Feng, J.
- Venue
- Molecular Psychiatry
- Published
- 2011-10-04
- Volume
- 18
- Issue
- 1
- Pages
- 101-111
- ISSN
- 1359-4184 (ISSN-L)
- 1476-5578
- OpenAlex
- W1967464411
- Cited by
- 254
- References
- 21
- FWCI
- 7.08
- Type
- journal article
- Language
- en
- Open access
- hybrid
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