Atrophy subtypes and the ATN classification scheme in Alzheimer’s disease

Cedrés, Nira; Ekman, Urban; Poulakis, Konstantinos; Shams, Sara; Cavallin, Lena; Muehlboeck, Sebastian; Granberg, Tobias; Wahlund, Lars‐Olof; Ferreira, Daniel; Westman, Eric

doi:10.21203/rs.3.rs-35996/v1

Cited by 1 publication

(1 citation statement)

References 35 publications

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“…According to the Amyloid, Tau and N (ATN) framework used to reflect the pathological hallmarks of dementia, N can be measured by MTA [33]. MTA has been used widely as a marker for N in the ATN framework [40] and also specifically for a marker for MCI [41]. Previous findings have established that MTA was highly correlated to AD and VaD [42][43][44] making VCAT a potential useful tool in detecting the risk of AD and VaD through the high correlations with Neurodegeneration.…”

Section: Discussionmentioning

confidence: 99%

Usefulness of the Visual Cognitive Assessment Test in Detecting Mild Cognitive Impairment in the Community

Soo

Kumar

Leow

et al. 2023

JAD

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Background: A delay in the detection of mild cognitive impairment (MCI) in the community delays the opportunity for early intervention. Accurate tools to detect MCI in the community are lacking. The Visual Cognitive Assessment Test (VCAT) is a visual based cognitive test useful for multilingual populations without the need for translation. Objective: Here, we evaluate the usefulness of VCAT in detecting MCI in a community population in Singapore. Methods: We recruited 301 participants from the community who completed a detailed neuropsychological assessment and 170 of them completed a 3T magnetic resonance imaging (MRI) brain scan. We performed a receiver operating characteristics analysis to test the diagnostic performance of VCAT compared to Montreal Cognitive Assessment (MoCA) in distinguishing MCI from cognitively normal (CN) by measuring area under the curve (AUC). To test for the association of VCAT with structural MRI, we performed a Pearson’s correlation analysis for VCAT and MRI variables. Results: We recruited 39 CN and 262 MCI participants from Dementia Research Centre (Singapore). Mean age of the cohort was 63.64, SD = 9.38, mean education years was 13.59, SD = 3.70 and majority were women (55.8%). VCAT was effective in detecting MCI from CN with an AUC of 0.794 (95% CI 0.723–0.865) which was slightly higher than MoCA 0.699 (95% CI 0.621–0.777). Among subjects with MCI, VCAT was associated with medial temporal lobe atrophy (ρ = –0.265, p = 0.001). Conclusions: The VCAT is useful in detecting MCI in the community in Singapore and may be an effective measure of neurodegeneration.

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