Blumen, HM and Schwartz, E and Allali, G and Beauchet, O and Callisaya, M and Doi, T and Shimada, H and Srikanth, V and Verghese, J, Cortical thickness, volume, and surface area in the motoric cognitive risk syndrome, Journal of Alzheimer's Disease, 81, (2) pp. 651-665. ISSN 1387-2877 (2021) [Refereed Article]
Background: The motoric cognitive risk (MCR) syndrome is a pre-clinical stage of dementia characterized by slow gait and cognitive complaint. Yet, the brain substrates of MCR are not well established.
Objective: To examine cortical thickness, volume, and surface area associated with MCR in the MCR-Neuroimaging Consortium, which harmonizes image processing/analysis of multiple cohorts.
Methods: Two-hundred MRIs (M age 72.62 years; 47.74%female; 33.17%MCR) from four different cohorts (50 each) were first processed with FreeSurfer 6.0, and then analyzed using multivariate and univariate general linear models with 1,000 bootstrapped samples (n-1; with resampling). All models adjusted for age, sex, education, white matter lesions, total intracranial volume, and study site.
Results: Overall, cortical thickness was lower in individuals with MCR than in those without MCR. There was a trend in the same direction for cortical volume (p=0.051). Regional cortical thickness was also lower among individuals with MCR than individuals without MCR in prefrontal, insular, temporal, and parietal regions.
Conclusion: Cortical atrophy in MCR is pervasive, and include regions previously associated with human locomotion, but also social, cognitive, affective, and motor functions. Cortical atrophy in MCR is easier to detect in cortical thickness than volume and surface area because thickness is more affected by healthy and pathological aging.
|Item Type:||Refereed Article|
|Keywords:||cognitive complaint, cortical thickness, gait, motoric cognitive risk|
|Research Group:||Biological psychology|
|Research Field:||Cognitive neuroscience|
|Objective Group:||Specific population health (excl. Indigenous health)|
|Objective Field:||Health related to ageing|
|UTAS Author:||Callisaya, M (Dr Michele Callisaya)|
|UTAS Author:||Srikanth, V (Dr Velandai Srikanth)|
|Web of Science® Times Cited:||1|
|Deposited By:||Menzies Institute for Medical Research|
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