Anomalous gray matter structural networks in major depressive disorder.
Anomalous gray matter structural networks in major depressive disorder.
复制标题
主要抑郁症中的异常灰质结构网络。
DOI:
10.1016/j.biopsych.2013.03.005
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发表时间:
2013-11-15
影响因子:
10.6
通讯作者:
Gotlib, Ian H.
中科院分区:
文献类型:
--
作者:
Singh, Manpreet K.;Kesler, Shelli R.;Hosseini, S. M. Hadi;Kelley, Ryan G.;Amatya, Debha;Hamilton, J. Paul;Chen, Michael C.;Gotlib, Ian H.
Major depressive disorder (MDD) is characterized by abnormalities in structure, function, and connectivity in several brain regions. Few studies have examined how these regions are organized in the brain or investigated network-level structural aberrations that might be associated with depression. We used graph analysis to examine the gray matter structural networks of individuals diagnosed with MDD (n = 93) and a demographically similar healthy comparison group (n = 151) with no history of psychopathology. The efficiency of structural networks for processing information was determined by quantifying local interconnectivity (clustering) and global integration (path length). We also compared the groups on the contributions of high-degree nodes (i.e., hubs) and regional network measures, including degree (number of connections in a node) and betweenness (fraction of short path connections in a node). Depressed participants had significantly decreased clustering in their brain networks across a range of network densities. Compared with control subjects, depressed participants had fewer hubs primarily in medial frontal and medial temporal areas, had higher degree in the left supramarginal gyrus and right gyrus rectus, and had higher betweenness in the right amygdala and left medial orbitofrontal gyrus. Networks of depressed individuals are characterized by a less efficient organization involving decreased regional connectivity compared with control subjects. Regional connections in the amygdala and medial prefrontal cortex may play a role in maintaining or adapting to depressive pathology. This is the first report of anomalous large-scale gray matter structural networks in MDD and provides new insights concerning the neurobiological mechanisms associated with this disorder.
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DOI:
10.1523/jneurosci.1929-08.2008
发表时间:
2008-09-10
期刊:
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子:
--
作者:
Bassett DS;Bullmore E;Verchinski BA;Mattay VS;Weinberger DR;Meyer-Lindenberg A
通讯作者:
Meyer-Lindenberg A
影响因子:
3.7
作者:
Blood AJ;Iosifescu DV;Makris N;Perlis RH;Kennedy DN;Dougherty DD;Kim BW;Lee MJ;Wu S;Lee S;Calhoun J;Hodge SM;Fava M;Rosen BR;Smoller JW;Gasic GP;Breiter HC;Phenotype Genotype Project on Addiction and Mood Disorders
通讯作者:
Phenotype Genotype Project on Addiction and Mood Disorders
影响因子:
5.7
作者:
Bassett, Danielle S.;Nelson, Brent G.;Mueller, Bryon A.;Camchong, Jazmin;Lim, Kelvin O.
通讯作者:
Lim, Kelvin O.
影响因子:
10.6
作者:
Frodl, Thomas;Bokde, Arun L. W.;Meisenzahl, Eva
通讯作者:
Meisenzahl, Eva
影响因子:
3.7
作者:
Chen, Zhang J.;He, Yong;Evans, Alan C.
通讯作者:
Evans, Alan C.