scholarly journals Depressive Symptom Dimensions and Their Association with Hippocampal and Entorhinal Cortex Volumes in Community Dwelling Older Adults

Author(s):  
Deirdre M. O’Shea ◽  
Vonetta M. Dotson ◽  
Adam J. Woods ◽  
Eric C. Porges ◽  
John B. Williamson ◽  
...  
Author(s):  
Martino Belvederi Murri ◽  
Luigi Grassi ◽  
Rosangela Caruso ◽  
Maria Giulia Nanni ◽  
Luigi Zerbinati ◽  
...  

2016 ◽  
Author(s):  
RK Olsen ◽  
L-K Yeung ◽  
A Noly-Gandon ◽  
MC D’Angelo ◽  
A Kacollja ◽  
...  

AbstractWe investigated whether older adults without subjective memory complaints, but who present with cognitive decline in the laboratory, demonstrate atrophy in medial temporal lobe (MTL) subregions associated with Alzheimer's disease. Forty community-dwelling older adults were categorized based on Montreal Cognitive Assessment (MoCA) performance. Total grey/white matter, cerebrospinal fluid, and white matter hyperintensity load were quantified from whole-brain T1-weighted and FLAIR magnetic resonance imaging scans, while hippocampal subfields and MTL cortical subregion volumes (CA1, dentate gyrus/CA2/3, subiculum, anterolateral and posteromedial entorhinal, perirhinal, and parahippocampal cortices) were quantified using high-resolution T2-weighted scans. Cognitive status was evaluated using standard neuropsychological assessments. No significant differences were found in the whole-brain measures. However, MTL volumetry revealed that anterolateral entorhinal cortex (alERC) volume -- the same region in which Alzheimer's pathology originates -- was strongly associated with MoCA performance. This is the first study to demonstrate that alERC volume is related to cognitive decline in preclinical, community-dwelling older adults.


2021 ◽  
Author(s):  
Chiyoung Lee ◽  
Xiao Hu

Abstract This cross-sectional study investigated the sex differences in depressive symptom networks among community-dwelling older adults in Korea. The analysis was based on the 2019 Korean Community Health Survey data targeting older adults aged 65 years or older. Using network analysis, depressive symptom networks were constructed according to the items listed in the Patient Health Questionnaire-9 for propensity score-matched male (n = 1,885) and female groups (n = 2,848). Strength centrality and network stability were tested. A network comparison test was performed to compare the global strength, network structure, and specific edge strength between the networks. Symptoms central to the network were similar between sexes, which were suicidal ideation, hopelessness, and psychomotor retardation/agitation. However, the global structure (S = 0.67, p = .008) and network structure (M = 0.11, p = .043) differed between sexes. The female symptom network showed more strengthened edges (Smale = 2.00; Sfemale = 2.66). Particularly, four edges—loss of interest–hopelessness (E = 0.09, p = .016), sleep disturbance–low energy/fatigue (E = 0.11, p = .005), loss of interest–concentration difficulty (E = 0.05, p = .047), and worthlessness–concentration difficulty (E = 0.08, p = .045)—were more pronounced in the female network. Our results may help guide future research and clinical interventions for female depression.


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