Literature DB >> 21238490

Neural correlates of the interactive relationship between memory deficits and depressive symptoms in nondemented elderly: resting fMRI study.

Joseph Goveas1, Chunming Xie, Zhilin Wu, B Douglas Ward, Wenjun Li, Malgorzata B Franczak, Jennifer L Jones, Piero G Antuono, Zheng Yang, Shi-Jiang Li.   

Abstract

Prospective studies have shown an association between depressive symptoms and cognitive impairment among older adults. However, the neural correlates of this relationship are poorly understood. Our aim was to examine whether interactive effects of memory deficits and depressive symptoms are present in the memory-associated functional networks, in nondemented elderly subjects. Fifteen subjects with amnestic mild cognitive impairment (aMCI) and 20 age-matched normal (CN) elderly subjects participated in this cross-sectional study. Resting-state functional connectivity MRI (R-fMRI) measured the hippocampal functional connectivity (HFC) alterations between the two groups. Voxelwise linear regression analysis was performed to correlate hippocampal network strength with the Rey Auditory Verbal Learning Test delayed recall and the Geriatric Depression Scale scores, after adjusting for age and group effects. Poorer memory performance was associated with decreased positively correlated HFC connectivity in the specific frontal lobe and default mode network (DMN) structures. Poorer memory performance also was associated with decreased anticorrelated HFC connectivity in the bilateral inferior parietal and right dorsolateral prefrontal cortices. In contrast, greater depressive symptom severity was associated with increased HFC connectivity in several frontal lobes and DMN regions. Depressive symptoms and memory functions had interactive effects on the HFC, in the frontal, temporal, and PCC structures. Our findings suggest that the R-fMRI technique can be used to examine the changes in functional neural networks where memory deficits and depressive symptoms coexist in the geriatric population. Published by Elsevier B.V.

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Year:  2011        PMID: 21238490      PMCID: PMC3062733          DOI: 10.1016/j.bbr.2011.01.008

Source DB:  PubMed          Journal:  Behav Brain Res        ISSN: 0166-4328            Impact factor:   3.332


  62 in total

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  21 in total

1.  A clustering-based method to detect functional connectivity differences.

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Review 4.  The default mode network and recurrent depression: a neurobiological model of cognitive risk factors.

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Review 7.  Phenotypic variability in resting-state functional connectivity: current status.

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