Literature DB >> 23318096

MRI characteristics predicting seizure threshold in patients undergoing electroconvulsive therapy: a prospective study.

Jeroen A van Waarde1, Lucas J B van Oudheusden, Bart A R Tonino, Nic J A van der Wee, Bastiaan Verwey, Rose C van der Mast, Erik J Giltay.   

Abstract

BACKGROUND: In electroconvulsive therapy (ECT), the electrical current must pass the scalp, skull, cerebrospinal fluid (CSF) and brain tissues, to sufficiently exceed the seizure threshold (ST).
OBJECTIVE: To investigate the relationship between these anatomical strata of the head and the level of the ST, in both right unilateral (RUL) and bifrontotemporal (BL) ECT.
METHODS: Observational prospective study among 74 mainly depressed patients. STs were measured at the 1st (initial ST), 6th, 12th, 18th and 24th session. MRI scans were acquired before the 1st session. Scalp and skull thickness at electrode sites were measured on T2-weighted images. Volumes of intracranial space (ICV), CSF, gray and white matter, and white matter hyperintensities were estimated using whole brain isovoxel T1-weighted images. Separate multivariate regression analyses for RUL (n = 55) and BL (n = 19) treated groups were used to estimate the predictive values of the MRI variables.
RESULTS: The patients had a mean age of 57.7 ± 14.8 years, and 39% were men. After adjustment for age, gender and ICV, CSF volume strongly and independently predicted initial ST in both RUL (β = 0.31; P = 0.049) and BL ECT (β = 0.64; P = 0.007). Using multilevel regression analysis, CSF volume was associated with ST during the remaining RUL ECT course (β = 0.20; P = 0.02).
CONCLUSIONS: Taking into account the limitations in the titration method and MRI analysis, volume of CSF strongly and independently predicted initial ST. Therefore, the exclusive use of age-based ECT dosing methods may result in suboptimal electrical stimulus dosage in patients with CSF volumes that are not within the average range.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cerebrospinal fluid; ECT; Head morphology; MRI; Predictors; Seizure threshold

Mesh:

Year:  2013        PMID: 23318096     DOI: 10.1016/j.brs.2012.12.003

Source DB:  PubMed          Journal:  Brain Stimul        ISSN: 1876-4754            Impact factor:   8.955


  5 in total

1.  Individualized Low-Amplitude Seizure Therapy: Minimizing Current for Electroconvulsive Therapy and Magnetic Seizure Therapy.

Authors:  Angel V Peterchev; Andrew D Krystal; Moacyr A Rosa; Sarah H Lisanby
Journal:  Neuropsychopharmacology       Date:  2015-04-28       Impact factor: 7.853

2.  Repeated dose titration versus age-based method in electroconvulsive therapy: a pilot study.

Authors:  Jan Jaap Aten; Mardien Oudega; Eric van Exel; Max L Stek; Jeroen A van Waarde
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2015-03-25       Impact factor: 5.270

3.  Polymorphism of the brain-derived neurotrophic factor and dynamics of the seizure threshold of electroconvulsive therapy.

Authors:  C Stephani; M Shoukier; R Ahmed; C Wolff-Menzler
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2016-10-27       Impact factor: 5.270

4.  A functional MRI marker may predict the outcome of electroconvulsive therapy in severe and treatment-resistant depression.

Authors:  J A van Waarde; H S Scholte; L J B van Oudheusden; B Verwey; D Denys; G A van Wingen
Journal:  Mol Psychiatry       Date:  2014-08-05       Impact factor: 15.992

5.  Effect of anatomical variability on electric field characteristics of electroconvulsive therapy and magnetic seizure therapy: a parametric modeling study.

Authors:  Zhi-De Deng; Sarah H Lisanby; Angel V Peterchev
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2014-07-17       Impact factor: 3.802

  5 in total

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