2020
DOI: 10.1016/j.pscychresns.2020.111107
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Effects of sex, age, and apolipoprotein E genotype on hippocampal parenchymal fraction in cognitively normal older adults

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Cited by 7 publications
(8 citation statements)
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“…In patients with MCI, lower HPF may be at a higher risk of dementia, and in patients with AD, lower HPF may be at a higher risk of more severe symptoms. While it has been previously reported that there were significant associations between the HPF and cognitive function in cognitively normal older adults [14], here we did not find correlations between the HPF and MoCA scores in the CN group. The discrepancies might be due to the small individual variability of the MoCA scores in the CN group.…”
Section: Discussioncontrasting
confidence: 96%
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“…In patients with MCI, lower HPF may be at a higher risk of dementia, and in patients with AD, lower HPF may be at a higher risk of more severe symptoms. While it has been previously reported that there were significant associations between the HPF and cognitive function in cognitively normal older adults [14], here we did not find correlations between the HPF and MoCA scores in the CN group. The discrepancies might be due to the small individual variability of the MoCA scores in the CN group.…”
Section: Discussioncontrasting
confidence: 96%
“…Second, we examined whether and how hippocampal volumetric integrity would be associated with cognitive ability as measured by the Montreal Cognitive Assessment (MoCA), a popular screening tool for cognitive function impairment [ 22 ]. As associations between the HPF and cognitive ability have been reported in normal aging [ 14 ], we hypothesized there would be associations between the HPF and cognitive ability across participants. Lastly, we explored the coupling between hippocampal atrophy and cortical grey matter atrophy during AD progression.…”
Section: Introductionmentioning
confidence: 99%
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“…The volumes of the structures were obtained from the binary segmentations by counting voxels and multiplying with the voxel dimensions. In multivariate regression analyses, we controlled for known confounders, namely age [ 38 , 39 , 40 ], sex [ 38 , 41 , 42 , 43 ], and intracranial volume (ICV) [ 18 , 44 , 45 , 46 ] defined as the total volume within the skull including left and right hemispheres, brainstem, cerebellum and cerebrospinal fluid. The regression model used was: where are coefficients for cVEMP, ICV, age and sex respectively, and is the constant term.…”
Section: Methodsmentioning
confidence: 99%