Literature DB >> 22451346

Neuroplasticity-based computerized cognitive remediation for geriatric depression.

Sarah Shizuko Morimoto1, Bruce E Wexler, George S Alexopoulos.   

Abstract

OBJECTIVE: This article describes a novel treatment model designed to target specific neurocognitive deficits in geriatric depression with neuroplasticity-based computerized cognitive remediation (NBCCR).
METHOD: The recent National Institute of Mental Health (NIMH) report "From Discovery to Cure" calls for studies focusing on mechanisms of treatment response with the goal of arriving at new interventions for those who do not respond to existing treatments. We describe the process that led to the identification of specific executive deficits and their underlying neurobiology, as well as the rationale for targeting these symptoms as a part of a strategy intended to improve both executive dysfunction and depression. We then propose a strategy for further research in this emerging area. RESULTS AND
CONCLUSIONS: Despite significant developments, conventional antidepressant treatments leave many older adults still depressed and suffering. Psychotherapy may be effective in some depressed elders, although a recent review concluded that none of the available treatment studies meets stringent criteria for efficacy in the acute treatment of geriatric depression. Appropriately developed and targeted NBCCR, has the potential to serve as a novel treatment intervention for geriatric depression. Pathophysiological changes associated with executive dysfunction may be an appropriate target for NBCCR. Examining both behavioral changes and indices of structural integrity and functional change of networks related to cognitive and emotional regulation may lead to a novel treatment and elucidate the role of specific cerebral networks in geriatric depression.
Copyright © 2012 John Wiley & Sons, Ltd.

Entities:  

Mesh:

Year:  2012        PMID: 22451346      PMCID: PMC3387346          DOI: 10.1002/gps.3776

Source DB:  PubMed          Journal:  Int J Geriatr Psychiatry        ISSN: 0885-6230            Impact factor:   3.485


  79 in total

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