Topography of seizures induced by electroconvulsive therapy and magnetic seizure therapy

Zhi De Deng, Angel V. Peterchev, Andrew D. Krystal, Bruce Luber, Shawn M. McClintock, Mustafa M. Husain, Sarah H. Lisanby

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

We present the first topographical characterization of seizures induced by ultrabrief pulse width right unilateral electroconvulsive therapy (ECT) and magnetic seizure therapy (MST). Topographical electroencephalogram (EEG) was acquired during treatments in a randomized controlled trial contrasting the efficacy and safety of ECT and MST. EEG power topography within delta, theta, alpha, and beta frequency bands were assessed using wavelet and current source density analysis. ECT showed greater increases in EEG power relative to baseline in all frequencies during the early and mid-ictal periods, and decrease in power during the post-ictal period. MST seizures showed little change in ictal EEG power and post-ictal suppression relative to baseline. Compared to MST, ECT showed greater changes in power in all frequencies. Contrasting the seizure topography induced by ECT and MST can provide insights into the impact of stimulation focality on the patterns of seizure onset and spread, factors thought to be critical to the efficacy and side effects of convulsive therapy.

Original languageEnglish (US)
Title of host publication2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013
Pages577-580
Number of pages4
DOIs
StatePublished - Dec 1 2013
Event2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013 - San Diego, CA, United States
Duration: Nov 6 2013Nov 8 2013

Publication series

NameInternational IEEE/EMBS Conference on Neural Engineering, NER
ISSN (Print)1948-3546
ISSN (Electronic)1948-3554

Other

Other2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013
CountryUnited States
CitySan Diego, CA
Period11/6/1311/8/13

ASJC Scopus subject areas

  • Artificial Intelligence
  • Mechanical Engineering

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