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Neurochemical brain imaging of treatment response in geriatric depression

Since the renewed emphasis on the heterogeneity of geriatric depression and the impact on treatment response variability over a decade ago,(1) neuroimaging methods have been increasingly applied to understand the underlying neurobiology of treatment response variability in geriatric depression.(2) T...

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Autor principal: Gwenn, S. Smith.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Les Laboratoires Servier 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3181896/
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author Gwenn, S. Smith.
author_facet Gwenn, S. Smith.
author_sort Gwenn, S. Smith.
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description Since the renewed emphasis on the heterogeneity of geriatric depression and the impact on treatment response variability over a decade ago,(1) neuroimaging methods have been increasingly applied to understand the underlying neurobiology of treatment response variability in geriatric depression.(2) The application of neuroimaging methods has resulted in fundamental observations with respect to the neural circuitry and the role of the serotonin system. The observations that some patients remain symptomatic after adequate treatment with a selective serotonin uptake inhibitor (SSRI) ami that despite remission of mood symptoms, residual cognitive and other behavioral deficits persist, suggest that other neurochemical mechanisms may be involved. This review will focus on neurochemical imaging research in geriatric depression that has led to an initial understanding of the neurobiological mechanisms underlying remission of depression in late life. Future research directions to investigate the mechanisms underlying treatment resistance of mood and cognitive aspects of the illness will be discussed.
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spelling pubmed-31818962011-10-27 Neurochemical brain imaging of treatment response in geriatric depression Gwenn, S. Smith. Dialogues Clin Neurosci Poster Since the renewed emphasis on the heterogeneity of geriatric depression and the impact on treatment response variability over a decade ago,(1) neuroimaging methods have been increasingly applied to understand the underlying neurobiology of treatment response variability in geriatric depression.(2) The application of neuroimaging methods has resulted in fundamental observations with respect to the neural circuitry and the role of the serotonin system. The observations that some patients remain symptomatic after adequate treatment with a selective serotonin uptake inhibitor (SSRI) ami that despite remission of mood symptoms, residual cognitive and other behavioral deficits persist, suggest that other neurochemical mechanisms may be involved. This review will focus on neurochemical imaging research in geriatric depression that has led to an initial understanding of the neurobiological mechanisms underlying remission of depression in late life. Future research directions to investigate the mechanisms underlying treatment resistance of mood and cognitive aspects of the illness will be discussed. Les Laboratoires Servier 2008-12 /pmc/articles/PMC3181896/ Text en Copyright: © 2008 LLS http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc-nd/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Poster
Gwenn, S. Smith.
Neurochemical brain imaging of treatment response in geriatric depression
title Neurochemical brain imaging of treatment response in geriatric depression
title_full Neurochemical brain imaging of treatment response in geriatric depression
title_fullStr Neurochemical brain imaging of treatment response in geriatric depression
title_full_unstemmed Neurochemical brain imaging of treatment response in geriatric depression
title_short Neurochemical brain imaging of treatment response in geriatric depression
title_sort neurochemical brain imaging of treatment response in geriatric depression
topic Poster
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3181896/
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