Loreto, Flavia;
Verdi, Serena;
Kia, Seyed Mostafa;
Duvnjak, Aleksandar;
Hakeem, Haneen;
Fitzgerald, Anna;
Patel, Neva;
... Malhotra, Paresh; + view all
(2024)
Alzheimer's disease heterogeneity revealed by neuroanatomical normative modeling.
Alzheimer's & Dementia
, 16
(1)
, Article e12559. 10.1002/dad2.12559.
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Abstract
INTRODUCTION: Overlooking the heterogeneity in Alzheimer's disease (AD) may lead to diagnostic delays and failures. Neuroanatomical normative modeling captures individual brain variation and may inform our understanding of individual differences in AD-related atrophy. METHODS: We applied neuroanatomical normative modeling to magnetic resonance imaging from a real-world clinical cohort with confirmed AD (n = 86). Regional cortical thickness was compared to a healthy reference cohort (n = 33,072) and the number of outlying regions was summed (total outlier count) and mapped at individual- and group-levels. RESULTS: The superior temporal sulcus contained the highest proportion of outliers (60%). Elsewhere, overlap between patient atrophy patterns was low. Mean total outlier count was higher in patients who were non-amnestic, at more advanced disease stages, and without depressive symptoms. Amyloid burden was negatively associated with outlier count. DISCUSSION: Brain atrophy in AD is highly heterogeneous and neuroanatomical normative modeling can be used to explore anatomo-clinical correlations in individual patients.
| Type: | Article |
|---|---|
| Title: | Alzheimer's disease heterogeneity revealed by neuroanatomical normative modeling |
| Location: | United States |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1002/dad2.12559 |
| Publisher version: | https://doi.org/10.1002/dad2.12559 |
| Language: | English |
| Additional information: | © 2024 The Authors. Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring published by Wiley Periodicals LLC on behalf of Alzheimer's Association. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | Alzheimer's disease, MRI, amyloid PET, heterogeneity, neuroanatomical normative modeling, neurodegeneration |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10189431 |
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