Literature DB >> 10700497

Functional and neuroanatomic correlations in poststroke depression: the Sunnybrook Stroke Study.

A Singh1, S E Black, N Herrmann, F S Leibovitch, P L Ebert, J Lawrence, J P Szalai.   

Abstract

BACKGROUND AND
PURPOSE: The purpose of our study was to determine the functional and neuroanatomic correlates of poststroke depressive symptoms.
METHODS: Patients with consecutive admissions to a regional stroke center for new-onset unilateral hemispheric stroke who met World Health Organization and National Institute of Neurological and Communicative Disorders and Stroke criteria were eligible for inclusion in a longitudinal study. Acutely, patients underwent CT scanning, and at 3 months and 1 year after stroke, depressive symptoms were assessed by using both the Montgomery-Asberg Depression Rating Scale and the Zung Self-Rating Depression Scale. The Functional Independence Measure (FIM) served as an indication of functional outcome and was obtained at 1 month, 3 months, and 1 year after stroke, along with other demographic information. The Talairach and Tournoux stereotactic atlas was used for the primary determination of CT lesion localization. Lesion proximity to the anterior frontal pole was also measured.
RESULTS: Eighty-one patients participated in the longitudinal study. Stepwise linear regression analyses generated a highly significant model (F(3,76)=9.8, R(2)=28%, P<0.0005), with lower 1-month total FIM scores, living at home, and damage to the inferior frontal region predicting higher depression scores at 3 months. Similarly, lower 3-month total FIM scores correlated with higher 3-month depression scores, and lower 1-year total FIM scores correlated with higher 1-year depression scores.
CONCLUSIONS: Functional measures correlated with poststroke depression across time and, together with neuroanatomic measures, predicted depressive symptoms longitudinally. Although inferior frontal lesion location, irrespective of side, appeared to play a role as a risk factor in this study, the degree of functional dependence after stroke imparted the greatest risk.

Entities:  

Mesh:

Year:  2000        PMID: 10700497     DOI: 10.1161/01.str.31.3.637

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  36 in total

Review 1.  Poststroke depression: a review.

Authors:  Robert G Robinson; Gianfranco Spalletta
Journal:  Can J Psychiatry       Date:  2010-06       Impact factor: 4.356

2.  Glutamate level detection by magnetic resonance spectroscopy in patients with post-stroke depression.

Authors:  Xuan Wang; Yue-Hua Li; Ming-Hua Li; Jing Lu; Jun-Gong Zhao; Xiao-Jiang Sun; Bin Zhang; Jian-Lin Ye
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2011-03-18       Impact factor: 5.270

Review 3.  [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

4.  Long-range temporal correlations of broadband EEG oscillations for depressed subjects following different hemispheric cerebral infarction.

Authors:  Dongzhe Hou; Chunfang Wang; Yuanyuan Chen; Weijie Wang; Jingang Du
Journal:  Cogn Neurodyn       Date:  2017-08-21       Impact factor: 5.082

5.  Chronic Fluoxetine Induces Activity Changes in Recovery From Poststroke Anxiety, Depression, and Cognitive Impairment.

Authors:  Faranak Vahid-Ansari; Paul R Albert
Journal:  Neurotherapeutics       Date:  2018-01       Impact factor: 7.620

6.  Language as a Stressor in Aphasia.

Authors:  Dalia Cahana-Amitay; Martin L Albert; Sung-Bom Pyun; Andrew Westwood; Theodore Jenkins; Sarah Wolford; Mallory Finley
Journal:  Aphasiology       Date:  2011-04-19       Impact factor: 2.773

7.  The Italian multicenter observational study on post-stroke depression (DESTRO).

Authors:  Stefano Paolucci; Carlo Gandolfo; Leandro Provinciali; Riccardo Torta; Vito Toso
Journal:  J Neurol       Date:  2006-05-18       Impact factor: 4.849

8.  Prediction of the response to citalopram and reboxetine in post-stroke depressed patients.

Authors:  Liborio Rampello; Santina Chiechio; Giovanni Nicoletti; Alessandro Alvano; Ignazio Vecchio; Rocco Raffaele; Mariano Malaguarnera
Journal:  Psychopharmacology (Berl)       Date:  2003-12-17       Impact factor: 4.530

9.  Association of post stroke depression with social factors, insomnia, and neurological status in Chinese elderly population.

Authors:  Lingru Wang; Yong Tao; Yang Chen; Hua Wang; Huadong Zhou; Xiaoyan Fu
Journal:  Neurol Sci       Date:  2016-04-27       Impact factor: 3.307

Review 10.  Poststroke depression: a biopsychosocial approach.

Authors:  Benjamin T Mast; Sarah Vedrody
Journal:  Curr Psychiatry Rep       Date:  2006-02       Impact factor: 5.285

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