Literature DB >> 11005043

Quantitative EEG during seizures induced by electroconvulsive therapy: relations to treatment modality and clinical features. I. Global analyses.

M S Nobler1, B Luber, J R Moeller, G P Katzman, J Prudic, D P Devanand, G S Dichter, H A Sackeim.   

Abstract

This study examined the effects of electroconvulsive therapy (ECT) treatment conditions, patient individual difference factors, and clinical outcome on global electroencephalogram (EEG) power during and immediately following ECT-induced seizures. Sixty-two patients were randomized to ECT conditions differing in electrode placement (right unilateral versus bilateral) and stimulus dosage (just above seizure threshold versus 2.5 times seizure threshold). At the second and penultimate treatments, global total power (1.5-28.5 Hz) and global power in specific frequency bands were quantified in 19-lead EEG recordings of the generalized seizure and the immediate postictal period. Seizures induced with high dosage, and to lesser extent, with bilateral electrode placement, resulted in greater global power. Patient age, initial seizure threshold, and baseline depression severity were inversely related to global power during seizures. While superior clinical outcome following ECT was associated with greater global power during seizures, this effect was small. The factors associated with more robust seizure expression also resulted in greater postictal bioelectric suppression. Associations with treatment parameters and patient variables were stronger at the second than penultimate treatment. We conclude that manipulations of ECT technique strongly determine the magnitude of seizure expression, but relations with clinical outcome are weak. The findings raise doubt about the clinical utility of algorithms based on analysis of EEG features to guide ECT parameter selection.

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Year:  2000        PMID: 11005043     DOI: 10.1097/00124509-200009000-00002

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


  15 in total

1.  Central-Positive Complexes: A Novel Characterization of Ictal Markers Induced During Electroconvulsive Therapy.

Authors:  R Edward Hogan; Emma R Trammel; Nuri B Farber; Michael S Avidan; Ben Julian A Palanca
Journal:  J ECT       Date:  2019-12       Impact factor: 3.635

Review 2.  Meta-analysis of initial seizure thresholds in electroconvulsive therapy.

Authors:  Jeroen A van Waarde; Bastiaan Verwey; Rose C van der Mast
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2009-04-21       Impact factor: 5.270

3.  What is the role of brain stimulation therapies in the treatment of depression?

Authors:  Daniel M Blumberger; Benoit H Mulsant; Zafiris J Daskalakis
Journal:  Curr Psychiatry Rep       Date:  2013-07       Impact factor: 5.285

4.  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

5.  Brief vs. ultrabrief pulse ECT: focus on seizure quality.

Authors:  Isabelle Brunner; Michael Grözinger
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2018-07-18       Impact factor: 5.270

Review 6.  Biomarkers for Deep Brain Stimulation in Animal Models of Depression.

Authors:  Jason Yuen; Aaron E Rusheen; Joshua Blair Price; Abhijeet S Barath; Hojin Shin; Abbas Z Kouzani; Michael Berk; Charles D Blaha; Kendall H Lee; Yoonbae Oh
Journal:  Neuromodulation       Date:  2022-02

7.  Does remifentanil improve ECT seizure quality?

Authors:  Verònica Gálvez; Phern-Chern Tor; Adriana Bassa; Dusan Hadzi-Pavlovic; Ross MacPherson; Mincho Marroquin-Harris; Colleen K Loo
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2016-04-01       Impact factor: 5.270

Review 8.  Multifactorial determinants of the neurocognitive effects of electroconvulsive therapy.

Authors:  Shawn M McClintock; Jimmy Choi; Zhi-De Deng; Lawrence G Appelbaum; Andrew D Krystal; Sarah H Lisanby
Journal:  J ECT       Date:  2014-06       Impact factor: 3.635

Review 9.  Update on Neuromodulation for Treatment-Resistant Depression.

Authors:  Bettina Bewernick; Thomas E Schlaepfer
Journal:  F1000Res       Date:  2015-12-02

Review 10.  Biomarkers for Deep Brain Stimulation in Animal Models of Depression.

Authors:  Jason Yuen; Aaron E Rusheen; Joshua Blair Price; Abhijeet S Barath; Hojin Shin; Abbas Z Kouzani; Michael Berk; Charles D Blaha; Kendall H Lee; Yoonbae Oh
Journal:  Neuromodulation       Date:  2021-06-09
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