NDLI: Brain network properties in depressed patients receiving seizure therapy: A graph theoretical analysis of peri-treatment resting EEG

Content Provider	IEEE Xplore Digital Library
Author	Zhi-De Deng McClinctock, S.M. Lisanby, S.H.
Copyright Year	2015
Description	Author affiliation: Dept. of Psychiatry & Behavioral Sci., Duke Univ., Durham, NC, USA (McClinctock, S.M.; Lisanby, S.H.) \|\| Dept. of Psychiatry & Behavioral Sci., Sch. of Med., Duke Univ., Durham, NC, USA (Zhi-De Deng)
Abstract	Electroconvulsive therapy (ECT), the most efficacious antidepressant therapy for treatment-resistant depression, has been reported to alter functional brain network architecture by down-regulating connectivity in frontotemporal circuitry. Magnetic seizure therapy (MST), which induces therapeutic seizures with high dose repetitive transcranial magnetic stimulation, has been introduced to improve the seizure therapy risk/benefit ratio. Unfortunately, there is limited understanding of seizure therapy's underlying mechanisms of action. In this study, we apply graph theory-based connectivity analysis to peri-treatment, resting-state, topographical electroencephalography (EEG) in patients with depression receiving seizure therapy. Functional connectivity was assessed using the de-biased weighted phase lag index, a measure of EEG phase synchronization. Brain network structure was quantified using graph theory metrics, including betweenness centrality, clustering coefficient, network density, and characteristic path length. We found a significant reduction in the phase synchronization and aberration of the small-world architecture in the beta frequency band, which could be related to acute clinical and cognitive effects of seizure therapy.
Starting Page	2203
Ending Page	2206
File Size	5180215
Page Count	4
File Format	PDF
ISSN	1557170X
e-ISBN	9781424492718
DOI	10.1109/EMBC.2015.7318828
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-25
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electroencephalography Medical treatment Synchronization Frequency measurement Organizations Frequency synchronization Yttrium
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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