Literature DB >> 19671212

Relationship between baseline white-matter changes and development of late-life depressive symptoms: 3-year results from the LADIS study.

A Teodorczuk1, M J Firbank, L Pantoni, A Poggesi, T Erkinjuntti, A Wallin, L-O Wahlund, P Scheltens, G Waldemar, G Schrotter, J M Ferro, H Chabriat, H Bazner, M Visser, D Inzitari, J T O'Brien.   

Abstract

BACKGROUND: Growing evidence suggests that cerebral white-matter changes and depressive symptoms are linked directly along the causal pathway. We investigated whether baseline severity of cerebral white-matter changes predict longer-term future depressive outcomes in a community sample of non-disabled older adults.
METHOD: In the Leukoaraiosis and Disability in the Elderly (LADIS) study, a longitudinal multi-centre pan-European study, 639 older subjects underwent baseline structural magnetic resonance imaging (MRI) and clinical assessments. Baseline severity of white-matter changes was quantified volumetrically. Depressive outcomes were assessed in terms of depressive episodes and depressive symptoms, as measured by the Geriatric Depression Scale (GDS). Subjects were clinically reassessed annually for up to 3 years. Regression models were constructed to determine whether baseline severity of white-matter changes predicted future depressive outcomes, after controlling for confounding factors.
RESULTS: Baseline severity of white-matter changes independently predicted depressive symptoms at both 2 (p<0.001) and 3 years (p=0.015). Similarly, white-matter changes predicted incident depression (p=0.02). Over the study period the population became significantly more disabled (p<0.001). When regression models were adjusted to account for the influence of the prospective variable transition to disability, baseline severity of white-matter changes no longer predicted depressive symptoms at 3 years (p=0.09) or incident depression (p=0.08).
CONCLUSIONS: Our results support the vascular depression hypothesis and strongly implicate white-matter changes in the pathogenesis of late-life depression. Furthermore, the findings indicate that, over time, part of the relationship between white-matter changes and depression may be mediated by loss of functional activity.

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Year:  2009        PMID: 19671212     DOI: 10.1017/S0033291709990857

Source DB:  PubMed          Journal:  Psychol Med        ISSN: 0033-2917            Impact factor:   7.723


  30 in total

1.  Aging and Positive Mood: Longitudinal Neurobiological and Cognitive Correlates.

Authors:  Devyn L Cotter; Samantha M Walters; Corrina Fonseca; Amy Wolf; Yann Cobigo; Emily C Fox; Michelle Y You; Marie Altendahl; Nina Djukic; Adam M Staffaroni; Fanny M Elahi; Joel H Kramer; Kaitlin B Casaletto
Journal:  Am J Geriatr Psychiatry       Date:  2020-05-15       Impact factor: 4.105

2.  A significant risk factor for poststroke depression: the depression-related subnetwork.

Authors:  Songran Yang; Ping Hua; Xinyuan Shang; Zaixu Cui; Suyu Zhong; Gaolang Gong; Glyn W Humphreys
Journal:  J Psychiatry Neurosci       Date:  2015-07       Impact factor: 6.186

3.  Depressive symptoms as a predictor of quality of life in cerebral small vessel disease, acting independently of disability; a study in both sporadic small vessel disease and CADASIL.

Authors:  Rebecca L Brookes; Thomas A Willis; Bhavini Patel; Robin G Morris; Hugh S Markus
Journal:  Int J Stroke       Date:  2012-02-26       Impact factor: 5.266

4.  Carotid artery wall thickness and leukoaraiosis: preliminary results using multidetector row CT angiography.

Authors:  L Saba; L Pascalis; R Sanfilippo; M Anzidei; R Bura; R Montisci; G Mallarini
Journal:  AJNR Am J Neuroradiol       Date:  2011-02-24       Impact factor: 3.825

5.  Machine learning approaches for integrating clinical and imaging features in late-life depression classification and response prediction.

Authors:  Meenal J Patel; Carmen Andreescu; Julie C Price; Kathryn L Edelman; Charles F Reynolds; Howard J Aizenstein
Journal:  Int J Geriatr Psychiatry       Date:  2015-02-17       Impact factor: 3.485

6.  White Matter Lesion Penumbra Shows Abnormalities on Structural and Physiologic MRIs in the Coronary Artery Risk Development in Young Adults Cohort.

Authors:  I M Nasrallah; M-K Hsieh; G Erus; H Battapady; S Dolui; J A Detre; L J Launer; D R Jacobs; C Davatzikos; R N Bryan
Journal:  AJNR Am J Neuroradiol       Date:  2019-07-25       Impact factor: 3.825

Review 7.  Association of Microvascular Dysfunction With Late-Life Depression: A Systematic Review and Meta-analysis.

Authors:  Marnix J M van Agtmaal; Alfons J H M Houben; Frans Pouwer; Coen D A Stehouwer; Miranda T Schram
Journal:  JAMA Psychiatry       Date:  2017-07-01       Impact factor: 21.596

Review 8.  Vascular parkinsonism--characteristics, pathogenesis and treatment.

Authors:  Amos D Korczyn
Journal:  Nat Rev Neurol       Date:  2015-04-28       Impact factor: 42.937

9.  Depression in the elderly: clinical features and risk factors.

Authors:  Gülfizar Sözeri-Varma
Journal:  Aging Dis       Date:  2012-10-21       Impact factor: 6.745

10.  Treatment course with antidepressant therapy in late-life depression.

Authors:  Yvette I Sheline; Brianne M Disabato; Jennifer Hranilovich; Carrie Morris; Gina D'Angelo; Carl Pieper; Tommaso Toffanin; Warren D Taylor; James R MacFall; Consuelo Wilkins; Deanna M Barch; Kathleen A Welsh-Bohmer; David C Steffens; Ranga R Krishnan; P Murali Doraiswamy
Journal:  Am J Psychiatry       Date:  2012-11       Impact factor: 18.112

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