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Record W7038627528

Is Age-related Macular Degeneration related to Alzheimer’s Disease? Evidence from neuroimaging and behavioural data.

2021· dissertation· en· W7038627528 on OpenAlexaboutno aff

Bibliographic record

VenueWhite Rose eTheses Online (University of Leeds, The University of Sheffield, University of York) · 2021
Typedissertation
Languageen
FieldMedicine
TopicComparative Animal Anatomy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEntorhinal cortexMacular degenerationNeurodegenerationDementiaCognitionNeuroimagingAtrophyHippocampusAngular gyrusLingual gyrus
DOInot available

Abstract

fetched live from OpenAlex

Although age-related macular degeneration (AMD) is an eye disease and Alzheimer’s disease (AD) is a dementia caused by neurodegeneration in the brain, both are common diseases affecting older people, and studies have suggested a link between them. Cognitive impairments in language and memory, and biological changes in the eye have been found in both AD and AMD. The first aims of this thesis were to compare atrophy patterns in brain structure in AMD, AD, and age-matched controls both cross-sectionally and longitudinally. Cross-sectional data revealed significantly thinner entorhinal cortex and angular gyrus in late AMD compared to controls, while longitudinal results found accelerated thinning in entorhinal cortex and decelerated thinning in the inferior frontal gyrus in early AMD (non-significant patterns). Both cross-sectional and longitudinal results suggest that there are shared patterns of neurodegeneration for AMD and mild AD. However, comparing participants with early and late-stage AMD found that entorhinal cortex is affected in early AMD, while the occipital pole is affected in late AMD, suggesting AMD has its own neurodegenerative pattern. Finally, the relationship between brain structure, physical activity levels (lifestyle and exercise), and cognitive function was assessed in AMD and control participants. A positive correlation was found between lifestyle and exercise physical activity and entorhinal cortex (non-significant medium-to-large effect), but only lifestyle was positively correlated with the hippocampus (non-significant medium effect). However, cortical measures were not positively associated with Montreal Cognitive Assessment scores measuring global cognitive function. Overall, this thesis reveals that AMD and AD have similar but diverging patterns of change in brain structures, and that changes in physical activity levels may modulate brain changes. Altogether, the findings suggest that AMD patients are at risk of experiencing atrophying brain structures involved in cognitive function beyond occipital visual regions that may increase the risk of developing AD.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.098
GPT teacher head0.299
Teacher spread0.200 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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