2021
DOI: 10.1016/j.neurobiolaging.2020.10.011
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Longitudinal trajectories of hippocampal volume in middle to older age community dwelling individuals

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Cited by 9 publications
(7 citation statements)
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References 79 publications
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“…In comparison to direct measurements from the data, our model-derived ADTs underestimate the volume by approximately 1.1 % to 1.5 % for this age range. However, it should be noted that a similar increase in hippocampus volume for this age range has previously been reported (Fraser et al, 2021).…”
Section: Discussionsupporting
confidence: 86%
See 1 more Smart Citation
“…In comparison to direct measurements from the data, our model-derived ADTs underestimate the volume by approximately 1.1 % to 1.5 % for this age range. However, it should be noted that a similar increase in hippocampus volume for this age range has previously been reported (Fraser et al, 2021).…”
Section: Discussionsupporting
confidence: 86%
“…where GPs were directly applied to volume measurements. However, for the hippocampus, similar trajectories in volume difference due to the data have been reported in the majority subgroup of the study population in (Fraser et al, 2021).…”
Section: Age-dependent Templatessupporting
confidence: 82%
“…It is worth noting that these structural and microstructural longitudinal significant differences are modest in size, the strongest differences in changes observed between the SARS-CoV-2 positive and control groups corresponding to around 2% of mean baseline IDP value (Supplementary Table 1). This additional loss in the infected participants of 0.7% on average across the olfactory-related brain regions -and specifically ranging from 1.3% to 1.8% for the FreeSurfer volume of the parahippocampal/ perirhinal and entorhinal cortex -can be helpfully compared with, for instance, the longitudinal loss per year of ~0.2% (in middle age) to 0.3% (in older age) of hippocampal volume in community-dwelling individuals 29 . Our statistics also represent an average effect; not every infected participant will display brain longitudinal abnormalities.…”
Section: Discussionmentioning
confidence: 99%
“…Latent classes were modelled using a linear link function with the number of waves as the time predictor. The best fitting latent class sets were selected based on the model Akaike information criterion (AIC) [ 37 ], the Bayesian information criterion (BIC) [ 38 ], stable allocation of participants to the classes (> 50% of members of each class with posterior probability > 0.7), and at least 20 participants in each class [ 19 ]. Participants’ characteristic in each class was examined using Wilcoxon signed-rank, or Fisher's exact tests (Supplementary Tables S3 & S4).…”
Section: Methodsmentioning
confidence: 99%