Literature DB >> 18450929

Depressive state- and disease-related alterations in neural responses to affective and executive challenges in geriatric depression.

Lihong Wang1, K Ranga Krishnan, David C Steffens, Guy G Potter, Florin Dolcos, Gregory McCarthy.   

Abstract

OBJECTIVE: Geriatric depression has been associated with a heterogeneous neuropathology. Identifying both depressive state-related and disease-related alterations in brain regions associated with emotion and cognitive function could provide useful diagnostic information in geriatric depression.
METHOD: Twelve late-onset acutely depressed patients, 15 patients fully remitted from major depression, and 20 healthy comparison subjects underwent event-related functional MRI. Brain activation and deactivation associated with executive and emotional processing were investigated using an emotional oddball task in which circles were presented infrequently as attentional targets and sad and neutral pictures as novel distractors.
RESULTS: Significant changes in brain activation in patients were found mainly in response to attentional targets rather than to sad distractors. Relative to healthy comparison subjects, the depressed patients had attenuated activation in the regions of the executive system, including the right middle frontal gyrus, the cingulate, and inferior parietal areas. Activity in the middle frontal gyrus revealed depressive state-dependent modulation, whereas attenuated activation in the anterior portion of the posterior cingulate and inferior parietal regions persisted in the remitted subjects, suggesting a disease-related alteration. Enhanced deactivation was observed in the posterior portion of the posterior cingulate, which was also state dependent. The remitted group did not show this deactivation.
CONCLUSIONS: Our results indicate distinct roles for the right middle frontal gyrus and the anterior and posterior portions of the posterior cingulate cortex in geriatric depression. The deactivation of the posterior portion of the posterior cingulate could be informative for differentiation of cognitive dysfunction related to depression from other conditions, such as mild cognitive impairment.

Entities:  

Mesh:

Year:  2008        PMID: 18450929     DOI: 10.1176/appi.ajp.2008.07101590

Source DB:  PubMed          Journal:  Am J Psychiatry        ISSN: 0002-953X            Impact factor:   18.112


  39 in total

1.  MRI signal hyperintensities and treatment remission of geriatric depression.

Authors:  Faith M Gunning-Dixon; Michael Walton; Janice Cheng; Jessica Acuna; Sibel Klimstra; Molly E Zimmerman; Adam M Brickman; Matthew J Hoptman; Robert C Young; George S Alexopoulos
Journal:  J Affect Disord       Date:  2010-05-07       Impact factor: 4.839

Review 2.  Frontocingulate dysfunction in depression: toward biomarkers of treatment response.

Authors:  Diego A Pizzagalli
Journal:  Neuropsychopharmacology       Date:  2010-09-22       Impact factor: 7.853

3.  Amygdala network dysfunction in late-life depression phenotypes: Relationships with symptom dimensions.

Authors:  Wenjun Li; B Douglas Ward; Chunming Xie; Jennifer L Jones; Piero G Antuono; Shi-Jiang Li; Joseph S Goveas
Journal:  J Psychiatr Res       Date:  2015-09-09       Impact factor: 4.791

4.  Magnetic resonance imaging predictors of treatment response in late-life depression.

Authors:  Howard J Aizenstein; Alexander Khalaf; Sarah E Walker; Carmen Andreescu
Journal:  J Geriatr Psychiatry Neurol       Date:  2013-12-30       Impact factor: 2.680

5.  Intrinsic inter-network brain dysfunction correlates with symptom dimensions in late-life depression.

Authors:  Wenjun Li; Yang Wang; B Douglas Ward; Piero G Antuono; Shi-Jiang Li; Joseph S Goveas
Journal:  J Psychiatr Res       Date:  2016-12-12       Impact factor: 4.791

6.  Attention modulates the dorsal striatum response to love stimuli.

Authors:  Sandra J E Langeslag; Frederik M van der Veen; Christian H Röder
Journal:  Hum Brain Mapp       Date:  2012-10-25       Impact factor: 5.038

Review 7.  Depression and cognitive impairment in older adults.

Authors:  Sara L Weisenbach; Laurie A Boore; Helen C Kales
Journal:  Curr Psychiatry Rep       Date:  2012-08       Impact factor: 5.285

8.  Neural basis of the association between depressive symptoms and memory deficits in nondemented subjects: resting-state fMRI study.

Authors:  Chunming Xie; Joseph Goveas; Zhilin Wu; Wenjun Li; Guangyu Chen; Malgorzata Franczak; Piero G Antuono; Jennifer L Jones; Zhijun Zhang; Shi-Jiang Li
Journal:  Hum Brain Mapp       Date:  2011-05-26       Impact factor: 5.038

9.  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

10.  Reduced comparison speed during visual search in late life depression.

Authors:  Guy G Potter; David J Madden; Mathew C Costello; David C Steffens
Journal:  J Clin Exp Neuropsychol       Date:  2013-11-13       Impact factor: 2.475

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.