Understanding Cognitive Variability in Alzheimer’s Disease

Doherty, Thomas 2023. Understanding Cognitive Variability in Alzheimer’s Disease. PhD thesis University of Westminster Social Sciences https://doi.org/10.34737/w166v

TitleUnderstanding Cognitive Variability in Alzheimer’s Disease
TypePhD thesis
AuthorsDoherty, Thomas
Abstract

Alzheimer’s Disease (AD) is highly heterogenous, both clinically and biologically. This variability is exacerbated by the ways within which, the clinical presentation is assessed with cognitive measures. This inhibits clinical trial success and earlier diagnosis of individuals. Marrying the clinical presentation to the pathology of the disease has so far proved troublesome. This thesis will look at how cognitive measures can best capture the clinical presentation of AD and how these measures can link to the underlying pathology using machine learning methods.

This thesis studied this problem across four analyses and two cohorts. Each study looked at a different aspect of cognitive testing within AD. This was done with the overarching aim to interrogate the cognitive variability across the spectrum of AD.

Study 1 showed a novel discrepancy score is different to memory measures at screening for AD. It also showed it tracks with AD severity, in the same way memory recall does. Studies 2 & 3 uncovered broad psychometric variance within amnestic measurement of impairment due to AD. This was done in two different populations across two different constructs of amnestic measurement, story recall and verbal list learning. These tests are frequently used interchangeably. These two studies show they should not be. Finally, Study 4 built models from cognitive measures to predict AD pathology. The performance of these models was moderate showing that even with novel cognitive measures, further work is needed to link the clinical and amyloid related biological presentations of AD.

Bridging the gap between clinical presentation and pathology of AD using clinical and cognitive markers alone is not possible. Even when using a novel measure of discrepancy score. The discrepancy measure shows promise but was limited due to the inability of the MMSE to measure verbal ability. Conceptually a discrepancy score remains a promising avenue of research for screening, but broader language measures, as well as other AD biomarkers are needed to further test the construct validity of this measure.

Year2023
File
File Access Level
Open (open metadata and files)
ProjectUnderstanding Cognitive Variability in Alzheimer’s Disease
PublisherUniversity of Westminster
Publication dates
Published2023
Digital Object Identifier (DOI)https://doi.org/10.34737/w166v

Related outputs

Increasing the Cognitive Screening Efficiency of Global Phase III Trials in Early Alzheimer Disease: The Cognitive Task Force
Doherty, Thomas, Gee, Michelle, Maruff, Paul, Smith, Robert, Murphy, Jennifer, Marsh, Julie, Koschalka, Luke, Martinez, Mairelys, Irizarry, Michael and Albala, Bruce 2022. Increasing the Cognitive Screening Efficiency of Global Phase III Trials in Early Alzheimer Disease: The Cognitive Task Force. Alzheimer disease and associated disorders. 36 (3), pp. 185-191. https://doi.org/10.1097/WAD.0000000000000508

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