Selected

Investigating the Utility of Explainable Artificial Intelligence for Neuroimaging-Based Dementia Diagnosis and Prognosis
Artificial intelligence and neuroimaging enable accurate dementia prediction but often involve ‘black box’ models that can …
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Investigating the Utility of Explainable Artificial Intelligence for Neuroimaging-Based Dementia Diagnosis and Prognosis
Quantitative susceptibility mapping reveals differences between subtypes of Lewy body dementia
Quantitative susceptibility mapping in DLB and PD
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Brain age prediction from MRI scans in neurodegenerative diseases
Purpose of review This review explores the use of brain age estimation from MRI scans as a biomarker of brain health. With disorders …
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Revealing Individual Neuroanatomical Heterogeneity in Alzheimer Disease Using Neuroanatomical Normative Modeling
Here we employ a novel neuroanatomical normative modelling approach to index individual patterns of brain structure in patients with Alzheimer’s disease or mild cognitive impairment. By comparing patients to a large independent dataset (n>33,000), our analysis provides evidence that i) patterns of cortical thickness differ markedly between individual patients with Alzheimer’s disease, ii) these individual cortical ‘outlier’ patterns are associated with cognitive performance and CSF measures, and iii) individualised cortical atrophy measures can predict conversion from the MCI stage to diagnosed Alzheimer’s disease.
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A neuroimaging measure to capture heterogeneous patterns of atrophy in Parkinson’s disease and dementia with Lewy bodies

Authors: R Bhome, S Verdi, SA Martin, N Hannaway, I Dobreva, NP Oxtoby, Castro Leal G, S Rutherford, AF Marquand, RS Weil, JH Cole

DOI: https://doi.org/10.1101/2023.08.01.23293480

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Interpretable machine learning for dementia: A systematic review

Authors: Sophie A. Martin, Florence J. Townend, Frederik Barkhof, James H. Cole

DOI: https://doi.org/10.1002/alz.12948

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