Dynamics of data-driven microstates in bipolar disorder.
Dynamics of data-driven microstates in bipolar disorder.
复制标题
双相情感障碍中数据驱动微观状态的动力学。
DOI:
10.1016/j.jpsychires.2021.07.021
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发表时间:
2021-09
影响因子:
4.8
通讯作者:
Cochran AL
中科院分区:
文献类型:
--
作者:
Yee MA;Yocum AK;McInnis MG;Cochran AL
Many of the existing models of mood in bipolar disorder can largely be divided into two camps, tracking mood as either a discrete or continuous variable. Both groups rely upon certain assumptions, with most considering only aggregate scores on clinical instruments. In this study, we propose a novel framework that combines elements from both discrete and continuous mood models, using a machine learning pipeline to detect subtle patterns across individuals. Latent factors are constructed from assessments at the item level, then clustered into groups referred to as microstates. Transitions between microstates are captured via a discrete-time Markov chain, allowing for characterization of mood’s dynamic nature. Key findings include a factor mapping heavily onto irritability and aggression, as well as a hierarchical pattern of microstates within depression and mania. Validity of these results is confirmed by reproduction in an unseen data set from a separate subject cohort.
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影响因子:
6.9
作者:
Burdick KE;Russo M;Frangou S;Mahon K;Braga RJ;Shanahan M;Malhotra AK
通讯作者:
Malhotra AK
DOI:
10.1007/978-3-319-49959-8_11
发表时间:
2017-01-01
期刊:
COMPUTATIONAL NEUROLOGY AND PSYCHIATRY
影响因子:
--
作者:
Cochran, Amy L.;Schultz, Andre;Forger, Daniel B.
通讯作者:
Forger, Daniel B.
影响因子:
--
作者:
Judd, LL;Akiskal, HS;Keller, MB
通讯作者:
Keller, MB
影响因子:
25.8
作者:
Dwyer, Dominic B.;Kalman, Janos L.;Koutsouleris, Nikolaos
通讯作者:
Koutsouleris, Nikolaos
影响因子:
4.8
作者:
Gershon, Anda;Kaufmann, Christopher N.;Ketter, Terence A.
通讯作者:
Ketter, Terence A.