Literature DB >> 17327888

Translational research in late-life mood disorders: implications for future intervention and prevention research.

Gwenn S Smith1, Faith M Gunning-Dixon, Francis E Lotrich, Warren D Taylor, Jovier D Evans.   

Abstract

Clinical and epidemiological studies have consistently observed the heterogeneous symptomatology and course of geriatric depression. Given the importance of genetic and environmental risk factors, aging processes, neurodegenerative and cerebrovascular disease processes, and medical comorbidity, the integration of basic and clinical neuroscience research approaches is critical for the understanding of the variability in illness course, as well as the development of prevention and intervention strategies that are more effective. These considerations were the impetus for a workshop, sponsored by the Geriatrics Research Branch in the Division of Adult Translational Research and Treatment Development of the National Institute of Mental Health that was held on September 7-8, 2005. The primary goal of the workshop was to bring together investigators in geriatric psychiatry research with researchers in specific topic areas outside of geriatric mental health to identify priority areas to advance translational research in geriatric depression. As described in this report, the workshop focused on a discussion of the development and application of integrative approaches combining genetics and neuroimaging methods to understand such complex issues as treatment response variability, the role of medical comorbidity in depression, and the potential overlap between depression and dementia. Future directions for integrative research were identified. Understanding the nature of geriatric depression requires the application of translational research and interdisciplinary research approaches. Geriatric depression could serve as a model for translational research integrating basic and clinical neuroscience approaches that would have implications for the study of other neuropsychiatric disorders.

Entities:  

Mesh:

Year:  2007        PMID: 17327888     DOI: 10.1038/sj.npp.1301333

Source DB:  PubMed          Journal:  Neuropsychopharmacology        ISSN: 0893-133X            Impact factor:   7.853


  24 in total

1.  The brain-derived neurotrophic-factor (BDNF) val66met polymorphism is associated with geriatric depression: a meta-analysis.

Authors:  Yu Pei; Alicia K Smith; Yongjun Wang; Yanli Pan; Jian Yang; Qi Chen; Weigang Pan; Feng Bao; Lisha Zhao; Changle Tie; Yizheng Wang; Jian Wang; Wenfeng Zhen; Jinxia Zhou; Xin Ma
Journal:  Am J Med Genet B Neuropsychiatr Genet       Date:  2012-05-18       Impact factor: 3.568

Review 2.  Positron emission tomography molecular imaging in late-life depression.

Authors:  Kentaro Hirao; Gwenn S Smith
Journal:  J Geriatr Psychiatry Neurol       Date:  2014-01-05       Impact factor: 2.680

3.  Longitudinal studies of cerebral glucose metabolism in late-life depression and normal aging.

Authors:  Christopher M Marano; Clifford I Workman; Elisse Kramer; Carol R Hermann; Yilong Ma; Vijay Dhawan; Thomas Chaly; David Eidelberg; Gwenn S Smith
Journal:  Int J Geriatr Psychiatry       Date:  2012-06-27       Impact factor: 3.485

4.  Brain stimulation in neuropsychiatry.

Authors:  Gwenn S Smith; Shawn M McClintock; Mustafa Husain
Journal:  Int Rev Psychiatry       Date:  2011-10

5.  The ages of anxiety--differences across the lifespan in the default mode network functional connectivity in generalized anxiety disorder.

Authors:  Carmen Andreescu; Lei K Sheu; Dana Tudorascu; Sarah Walker; Howard Aizenstein
Journal:  Int J Geriatr Psychiatry       Date:  2013-11-20       Impact factor: 3.485

Review 6.  Functional neuroimaging in geriatric depression.

Authors:  Faith M Gunning; Gwenn S Smith
Journal:  Psychiatr Clin North Am       Date:  2011-04-08

Review 7.  A multiplicity of approaches to characterize geriatric depression and its outcomes.

Authors:  David C Steffens
Journal:  Curr Opin Psychiatry       Date:  2009-11       Impact factor: 4.741

8.  Structural imaging in late-life depression: association with mood and cognitive responses to antidepressant treatment.

Authors:  Christopher M Marano; Clifford I Workman; Christopher H Lyman; Cynthia A Munro; Michael A Kraut; Gwenn S Smith
Journal:  Am J Geriatr Psychiatry       Date:  2013-10-05       Impact factor: 4.105

9.  fMRI activation in late-life anxious depression: a potential biomarker.

Authors:  Carmen Andreescu; Meryl Butters; Eric J Lenze; Vijay K Venkatraman; Megan Nable; Charles F Reynolds; Howard J Aizenstein
Journal:  Int J Geriatr Psychiatry       Date:  2009-08       Impact factor: 3.485

10.  Research advances in geriatric depression.

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

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