Literature DB >> 11281515

Severity of subcortical gray matter hyperintensity predicts ECT response in geriatric depression.

D C Steffens1, C R Conway, C B Dombeck, H R Wagner, L A Tupler, R D Weiner.   

Abstract

OBJECTIVE: To determine the effect of subcortical white and gray matter lesions on ECT outcome.
METHOD: 41 geriatric psychiatric inpatients underwent an MRI scan during their ECT work-up. Periventricular, deep white matter, and subcortical gray matter hyperintensities were graded. The associations of low versus high hyperintensity ratings and symptom scores, Clinical Global Impression severity (CGS) ratings, Montgomery-Asberg Depression Scale score, and number of treatments were examined using t-tests and repeated measures ANOVA.
RESULTS: Patients with more severe subcortical gray hyperintensities (SCG) had significantly less improvement as measured by CGS ratings.
CONCLUSIONS: SCG severity may limit the improvement of patients receiving ECT. Further studies are needed to examine differences based on electrode placement and to determine whether patients with severe SCG may require more ECT treatments in an index course.

Entities:  

Mesh:

Year:  2001        PMID: 11281515     DOI: 10.1097/00124509-200103000-00009

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


  10 in total

Review 1.  Effects of medications on cerebral blood flow in late-life depression.

Authors:  Mitchell S Nobler; Kristian R Olvet; Harold A Sackeim
Journal:  Curr Psychiatry Rep       Date:  2002-02       Impact factor: 5.285

2.  MRI signal hyperintensities and treatment remission of geriatric depression.

Authors:  Faith M Gunning-Dixon; Michael Walton; Janice Cheng; Jessica Acuna; Sibel Klimstra; Molly E Zimmerman; Adam M Brickman; Matthew J Hoptman; Robert C Young; George S Alexopoulos
Journal:  J Affect Disord       Date:  2010-05-07       Impact factor: 4.839

Review 3.  [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

Review 4.  [Post-stroke depression: clinical aspects, epidemiology, therapy, and pathophysiology].

Authors:  G Kronenberg; J Katchanov; M Endres
Journal:  Nervenarzt       Date:  2006-10       Impact factor: 1.214

5.  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

6.  Blood pressure and white matter integrity in geriatric depression.

Authors:  Matthew J Hoptman; Faith M Gunning-Dixon; Christopher F Murphy; Babak A Ardekani; Jan Hrabe; Kelvin O Lim; Glenda R Etwaroo; Dora Kanellopoulos; George S Alexopoulos
Journal:  J Affect Disord       Date:  2008-09-20       Impact factor: 4.839

7.  Structural neuroimaging research methods in geriatric depression.

Authors:  Matthew J Hoptman; Faith M Gunning-Dixon; Christopher F Murphy; Kelvin O Lim; George S Alexopoulos
Journal:  Am J Geriatr Psychiatry       Date:  2006-10       Impact factor: 4.105

8.  Prospective study of major depressive disorder with white matter hyperintensity: comparison of patients with and without lacunar infarction.

Authors:  Shogo Komaki; Haruo Nagayama; Hirochika Ohgami; Hajime Takaki; Hiromu Mori; Jotaro Akiyoshi
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2008-04       Impact factor: 5.270

9.  Research advances in geriatric depression.

Authors:  George S Alexopoulos; Robert E Kelly
Journal:  World Psychiatry       Date:  2009-10       Impact factor: 49.548

Review 10.  Late-life depression: a model for medical classification.

Authors:  George S Alexopoulos; Susan K Schultz; Barry D Lebowitz
Journal:  Biol Psychiatry       Date:  2005-08-15       Impact factor: 13.382

  10 in total

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