Different Grey Matter Microstructural Patterns in Cognitively Healthy Versus Typical Ageing

Ageing is a complex phenomenon affecting a wide range of coexisting biological processes. The homogeneity of the studied population is an essential parameter for valid interpretations of outcomes. The presented study capitalises on the MRI data available in the Human Connectome Project-Aging (HCP-A) and, within individuals over 55 years of age who passed the HCP-A section criteria, compares a subgroup of 37 apparently neurocognitively healthy individuals selected based on stringent criteria with 37 age and sex-matched individuals still representative of typical ageing but who did not pass the stringent definition of neurocognitively healthy. Specifically, structural scans, diffusion weighted imaging and T1w/T2w ratio were utilised. Furthermore, data of 26 HCP-A participants older than 90 years as notional 'super-agers' were analysed. The relationship of age and several microstructural MRI metrics (T1w/T2w ratio, mean diffusivity, intracellular volume fraction and free water volume fraction) differed significantly between typical and healthy ageing cohort in areas highly relevant for ageing such as hippocampus, prefrontal and temporal cortex and cerebellum. However, the trajectories of the healthy ageing population did not show substantially better overlap with the findings in people older than 90 than those of the typical population. Therefore, caution must be exercised in the choice of adequate study group characteristics relevant for respective ageing-related hypotheses. Contrary to typical ageing group, the healthy ageing cohort may show generally stable levels of several MRI metrics of interest.

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Publication Details

Journal
NMR in Biomedicine
Published
2024-12-12
DOI
https://doi.org/10.1002/nbm.5305
Citations
1
Primary Topic
Advanced Neuroimaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.40

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article

Different Grey Matter Microstructural Patterns in Cognitively Healthy Versus Typical Ageing

Jeromy Thotland, Jennifer Crocker, Shalom Michaeli, J. Riley McCarten et al.
1 citations
NMR in Biomedicine
Advanced Neuroimaging Techniques and Applications
0.40
article

Different Grey Matter Microstructural Patterns in Cognitively Healthy Versus Typical Ageing

Jeromy Thotland, Jennifer Crocker, Shalom Michaeli, J. Riley McCarten, Pavel Filip, Zuzan Caycı, Melissa Terpstra, Lynn E. Eberly, Laura S. Hemmy, Silvia Mangia, Michael Wolf
article en
1 citations

Abstract

Ageing is a complex phenomenon affecting a wide range of coexisting biological processes. The homogeneity of the studied population is an essential parameter for valid interpretations of outcomes. The presented study capitalises on the MRI data available in the Human Connectome Project-Aging (HCP-A) and, within individuals over 55 years of age who passed the HCP-A section criteria, compares a subgroup of 37 apparently neurocognitively healthy individuals selected based on stringent criteria with 37 age and sex-matched individuals still representative of typical ageing but who did not pass the stringent definition of neurocognitively healthy. Specifically, structural scans, diffusion weighted imaging and T1w/T2w ratio were utilised. Furthermore, data of 26 HCP-A participants older than 90 years as notional 'super-agers' were analysed. The relationship of age and several microstructural MRI metrics (T1w/T2w ratio, mean diffusivity, intracellular volume fraction and free water volume fraction) differed significantly between typical and healthy ageing cohort in areas highly relevant for ageing such as hippocampus, prefrontal and temporal cortex and cerebellum. However, the trajectories of the healthy ageing population did not show substantially better overlap with the findings in people older than 90 than those of the typical population. Therefore, caution must be exercised in the choice of adequate study group characteristics relevant for respective ageing-related hypotheses. Contrary to typical ageing group, the healthy ageing cohort may show generally stable levels of several MRI metrics of interest.

NMR in BiomedicineVol. 38(1)
University of Minnesota (US), Charles University (CZ), Geriatric Research Education and Clinical Center (US), University of Minnesota Medical Center (US), Resonance Research (United States) (US), Czech Technical University in Prague (CZ)
Univerzita Karlova v Praze, Všeobecná Fakultní Nemocnice v Praze, National Institutes of Health
Clean water and sanitation
Openalex Percentile: Top 32%
Advanced Neuroimaging Techniques and Applications
0.40
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