Modulation of functional network properties in major depressive disorder following electroconvulsive therapy (ECT): a resting-state EEG analysis.
Modulation of functional network properties in major depressive disorder following electroconvulsive therapy (ECT): a resting-state EEG analysis.
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电惊厥治疗(ECT)后重性抑郁症功能网络特性的调节:静息状态脑电图分析。
DOI:
10.1038/s41598-020-74103-y
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发表时间:
2020-10-13
影响因子:
4.6
通讯作者:
Daskalakis ZJ
中科院分区:
文献类型:
--
作者:
Hill AT;Hadas I;Zomorrodi R;Voineskos D;Farzan F;Fitzgerald PB;Blumberger DM;Daskalakis ZJ
Electroconvulsive therapy (ECT) is a highly effective neuromodulatory intervention for treatment-resistant major depressive disorder (MDD). Presently, however, understanding of its neurophysiological effects remains incomplete. In the present study, we utilised resting-state electroencephalography (RS-EEG) to explore changes in functional connectivity, network topology, and spectral power elicited by an acute open-label course of ECT in a cohort of 23 patients with treatment-resistant MDD. RS-EEG was recorded prior to commencement of ECT and again within 48 h following each patient’s final treatment session. Our results show that ECT was able to enhance connectivity within lower (delta and theta) frequency bands across subnetworks largely confined to fronto-central channels, while, conversely, more widespread subnetworks of reduced connectivity emerged within faster (alpha and beta) bands following treatment. Graph-based topological analyses revealed changes in measures of functional segregation (clustering coefficient), integration (characteristic path length), and small-world architecture following ECT. Finally, post-treatment enhancement of delta and theta spectral power was observed, which showed a positive association with the number of ECT sessions received. Overall, our findings indicate that RS-EEG can provide a sensitive measure of dynamic neural activity following ECT and highlight network-based analyses as a promising avenue for furthering mechanistic understanding of the effects of convulsive therapies.
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影响因子:
3.7
作者:
Humphries MD;Gurney K
通讯作者:
Gurney K
影响因子:
7.2
作者:
Ajilore, Olusola;Lamar, Melissa;Leow, Alex;Zhang, Aifeng;Yang, Shaolin;Kumar, Anand
通讯作者:
Kumar, Anand
DOI:
10.1038/nrn3241
发表时间:
2012-05-18
期刊:
Nature reviews. Neuroscience
影响因子:
--
作者:
Buzsáki G;Anastassiou CA;Koch C
通讯作者:
Koch C
影响因子:
14.5
作者:
Farzan, Faranak;Atluri, Sravya;Daskalakis, Zafiris J.
通讯作者:
Daskalakis, Zafiris J.
影响因子:
1.9
作者:
ABRAMS, R;VOLAVKA, J;SCHRIFT, M
通讯作者:
SCHRIFT, M