Parsing Heterogeneity in Mood Disorders: The Challenges of Modeling Stable Mood Disorder-Related Functional Connectomes.
Parsing Heterogeneity in Mood Disorders: The Challenges of Modeling Stable Mood Disorder-Related Functional Connectomes.
复制标题
DOI:
10.1016/j.bpsc.2021.10.009
复制
发表时间:
2022-01
期刊:
影响因子:
--
通讯作者:
Belleau EL
中科院分区:
文献类型:
--
作者:
Belleau EL
Despite reported links between mood disorders and neural network abnormalities, discrepancies in findings abound. Given the heterogeneous nature of depression, attempts to use resting state connectivity to identify different depression subgroups have sometimes failed to replicate (1, 2). Examining functional neural networks during active clinical states of depression involving thousands of combinations of different symptoms across individuals may result in the identification of unstable biomarkers of mood disorders. Focusing on remitted or euthymic clinical phases that reduce symptom variability, may elucidate more stable and trait-like mood disorder biomarkers.
登录
查看更多内容
影响因子:
25.8
作者:
Kaiser, Roselinde H.;Andrews-Hanna, Jessica R.;Wager, Tor D.;Pizzagalli, Diego A.
通讯作者:
Pizzagalli, Diego A.
影响因子:
82.9
作者:
Drysdale AT;Grosenick L;Downar J;Dunlop K;Mansouri F;Meng Y;Fetcho RN;Zebley B;Oathes DJ;Etkin A;Schatzberg AF;Sudheimer K;Keller J;Mayberg HS;Gunning FM;Alexopoulos GS;Fox MD;Pascual-Leone A;Voss HU;Casey BJ;Dubin MJ;Liston C
通讯作者:
Liston C
DOI:
10.1080/13803395.2019.1585519
发表时间:
2019-03-28
影响因子:
2.2
作者:
DelDonno, Sophie R.;Karstens, Aimee James;Langenecker, Scott A.
通讯作者:
Langenecker, Scott A.
DOI:
10.1080/13803390601147611
发表时间:
2007-11-01
影响因子:
2.2
作者:
Langenecker, Scott A.;Zubieta, Jon-Kar;Nielson, Kristy A.
通讯作者:
Nielson, Kristy A.
DOI:
10.1016/j.bpsc.2021.01.004
发表时间:
2021-07
期刊:
Biological psychiatry. Cognitive neuroscience and neuroimaging
影响因子:
--
作者:
Whitton AE;Kumar P;Treadway MT;Rutherford AV;Ironside ML;Foti D;Fitzmaurice G;Du F;Pizzagalli DA
通讯作者:
Pizzagalli DA