Information flow and dynamic functional connectivity during electroconvulsive therapy in patients with depression-Reference-Cited by-同舟云学术

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Information flow and dynamic functional connectivity during electroconvulsive therapy in patients with depression

Published:2023-05 Issue: Volume:328 Page:141-152
ISSN:0165-0327
Container-title:Journal of Affective Disorders
language:en
Short-container-title:Journal of Affective Disorders

Author:

Kyuragi Yusuke,Oishi Naoya,Yamasaki Shimpei,Hazama Masaaki,Miyata Jun,Shibata Mami,Fujiwara Hironobu,Fushimi Yasutaka,Murai Toshiya,Suwa Taro

Funder

Ministry of Education, Culture, Sports, Science and Technology

Japan Agency for Medical Research and Development Department of Industrial Academic Collaboration

Japan Agency for Medical Research and Development

Japan Society for the Promotion of Science

Publisher

Elsevier BV

Subject

Psychiatry and Mental health,Clinical Psychology

Reference72 articles.

1. Hippocampal structural and functional changes associated with electroconvulsive therapy response;Abbott;Transl. Psychiatry,2014

2. Electroconvulsive therapy response in major depressive disorder: a pilot functional network connectivity resting state FMRI investigation;Abbott;Front. Psychiatry,2013

3. Tracking whole-brain connectivity dynamics in the resting state;Allen;Cereb. Cortex,2014

4. Diagnostic and Statistical Manual of Mental Disorders,2013

5. The role of default network deactivation in cognition and disease;Anticevic;Trends Cogn. Sci.,2012

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Distinct resting-state effective connectivity of large-scale networks in first-episode and recurrent major depression disorder: evidence from the REST-meta-MDD consortium;Frontiers in Neuroscience;2023-12-11

2. Predicting the Cerebral Blood Flow Change Condition during Brain Strokes using Feature Fusion of FMRI Images and Clinical Features;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

3. Commentary on ‘Information flow and dynamic functional connectivity during electroconvulsive therapy in patients with depression’;Journal of Affective Disorders;2023-07

4. Effective connectivity between deep brain stimulation targets in individuals with treatment-resistant depression;Brain Communications;2023

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