Literature DB >> 11314871

The development and retrospective testing of an electroencephalographic seizure quality-based stimulus dosing paradigm with ECT.

A D Krystal1, R D Weiner, V Lindahl, R Massie.   

Abstract

The optimization of electroconvulsive therapy (ECT) stimulus dosing remains uncertain. Previous work suggests the potential utility of ictal EEG models of seizure adequacy, but such models have never been tested for their ability to improve the clinical dosing of ECT treatments. Using data from 149 depressed patients, the authors developed an ictal electroencephalographic (EEG) model that can discriminate seizures produced by more therapeutically effective and less efficacious types of stimuli. They retrospectively determined how stimulus dosing according to this seizure adequacy-based model would have differed from that actually used in an additional 61 patients who received ECT according to a standard clinical dose-titration and EEG seizure duration-based dosing strategy. Although the model indicated an increase in stimulus intensity at some point during the ECT treatment course in 23 of 61 patients, only 5 of these 23 actually received a clinical increase in stimulus intensity. The patients who did not receive this increase had a significantly diminished therapeutic response compared with the other patients. Conversely, the model also indicated that an increase in stimulus intensity that occurred clinically might have been unnecessary to achieve therapeutic efficacy in 11% of the patients. This study provides preliminary evidence that ictal EEG models have the potential to make clinically relevant seizure adequacy distinctions among ECT treatments. Further prospective work is indicated to determine the clinical utility of such models.

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Year:  2000        PMID: 11314871     DOI: 10.1097/00124509-200012000-00003

Source DB:  PubMed          Journal:  J ECT        ISSN: 1095-0680            Impact factor:   3.635


  4 in total

Review 1.  [Value of diagnostic imaging in evaluation of electroconvulsive therapy].

Authors:  T Frodl; E M Meisenzahl; H-J Möller
Journal:  Nervenarzt       Date:  2004-03       Impact factor: 1.214

2.  An Electrophysiological Biomarker That May Predict Treatment Response to ECT.

Authors:  Katherine W Scangos; Richard D Weiner; Edward C Coffey; Andrew D Krystal
Journal:  J ECT       Date:  2019-06       Impact factor: 3.635

Review 3.  Remifentanil in electroconvulsive therapy: a systematic review and meta-analysis of randomized controlled trials.

Authors:  Yoshiteru Takekita; Taro Suwa; Naotaka Sunada; Hirotsugu Kawashima; Chiara Fabbri; Masaki Kato; Aran Tajika; Toshihiko Kinoshita; Toshi A Furukawa; Alessandro Serretti
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2016-01-28       Impact factor: 5.270

4.  Seizure (Ictal)--EEG characteristics in subgroups of depressive disorder in patients receiving electroconvulsive therapy (ECT)--a preliminary study and multivariate approach.

Authors:  Björn Wahlund; Paolo Piazza; Dietrich von Rosen; Benny Liberg; Hans Liljenström
Journal:  Comput Intell Neurosci       Date:  2009-06-15
  4 in total

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