CCPortal
DOI10.1073/pnas.2105730118
Altered effective connectivity in sensorimotor cortices is a signature of severity and clinical course in depression
Ray D.; Bezmaternykh D.; Mel’nikov M.; Friston K.J.; Das M.
发表日期2021
ISSN0027-8424
卷号118期号:40
英文摘要Functional neuroimaging research on depression has traditionally targeted neural networks associated with the psychological aspects of depression. In this study, instead, we focus on alterations of sensorimotor function in depression. We used resting-state functional MRI data and dynamic causal modeling (DCM) to assess the hypothesis that depression is associated with aberrant effective connectivity within and between key regions in the sensorimotor hierarchy. Using hierarchical modeling of between-subject effects in DCM with parametric empirical Bayes we first established the architecture of effective connectivity in sensorimotor cortices. We found that in (interoceptive and exteroceptive) sensory cortices across participants, the backward connections are predominantly inhibitory, whereas the forward connections are mainly excitatory in nature. In motor cortices these parities were reversed. With increasing depression severity, these patterns are depreciated in exteroceptive and motor cortices and augmented in the interoceptive cortex, an observation that speaks to depressive symptomatology. We established the robustness of these results in a leave-one-out cross-validation analysis and by reproducing the main results in a follow-up dataset. Interestingly, with (nonpharmacological) treatment, depression-associated changes in backward and forward effective connectivity partially reverted to group mean levels. Overall, altered effective connectivity in sensorimotor cortices emerges as a promising and quantifiable candidate marker of depression severity and treatment response. © 2021 National Academy of Sciences. All rights reserved.
英文关键词Depression; Effective connectivity; Embodiment; Predictive processes; Spectral DCM
语种英语
scopus关键词adult; article; causal modeling; controlled study; follow up; functional magnetic resonance imaging; human; leave one out cross validation; parity; sensorimotor cortex; sensorimotor function; symptomatology; treatment response
来源期刊Proceedings of the National Academy of Sciences of the United States of America
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/238786
作者单位Statistical Learning Group, Basque Center on Cognition, Brain and Language, Donostia, 20 009, Spain; Novosibirsk National State Research University, Novosibirsk, 630 090, Russian Federation; Federal Research Center of Fundamental and Translational Medicine, Research Institute of Molecular Biology and Biophysics, Novosibirsk, 630 117, Russian Federation; Theoretical Neurobiology, Wellcome Centre for Human Neuroimaging, London, WC1N 3AR, United Kingdom; Queen Square Institute of Neurology, University College London, London, WC1E 6BT, United Kingdom; National Hospital for Neurology and Neurosurgery, London, WC1N 3BG, United Kingdom; Applied Statistics, Basque Center for Applied Mathematics, Bilbao, 48 009, Spain
推荐引用方式
GB/T 7714
Ray D.,Bezmaternykh D.,Mel’nikov M.,et al. Altered effective connectivity in sensorimotor cortices is a signature of severity and clinical course in depression[J],2021,118(40).
APA Ray D.,Bezmaternykh D.,Mel’nikov M.,Friston K.J.,&Das M..(2021).Altered effective connectivity in sensorimotor cortices is a signature of severity and clinical course in depression.Proceedings of the National Academy of Sciences of the United States of America,118(40).
MLA Ray D.,et al."Altered effective connectivity in sensorimotor cortices is a signature of severity and clinical course in depression".Proceedings of the National Academy of Sciences of the United States of America 118.40(2021).
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Ray D.]的文章
[Bezmaternykh D.]的文章
[Mel’nikov M.]的文章
百度学术
百度学术中相似的文章
[Ray D.]的文章
[Bezmaternykh D.]的文章
[Mel’nikov M.]的文章
必应学术
必应学术中相似的文章
[Ray D.]的文章
[Bezmaternykh D.]的文章
[Mel’nikov M.]的文章
相关权益政策
暂无数据
收藏/分享

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。