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Longitudinal changes in functional brain connectivity predicts conversion to Alzheimer's disease
journal contribution
posted on 2023-06-09, 00:48 authored by Laura Serra, Mara Cercignani, Chiara Mastropasqua, Mario Torso, Barbara Spanò, Elena Makovac, Vanda Viola, Giovanni Giulietti, Camillo Marra, Carlo Caltagirone, Marco BozzaliThis longitudinal study investigates the modifications in structure and function occurring to typical Alzheimer's disease (AD) brains over a 2-year follow-up, from pre-dementia stages of disease, with the aim of identifying biomarkers of prognostic value. Thirty-one patients with amnestic mild cognitive impairment were recruited and followed-up with clinical, neuropsychological, and MRI assessments. Patients were retrospectively classified as AD Converters or Non-Converters, and the data compared between groups. Cross-sectional MRI data at baseline, assessing volume and functional connectivity abnormalities, confirmed previous findings, showing a more severe pattern of regional grey matter atrophy and default-mode network disconnection in Converters than in Non-Converters. Longitudinally, Converters showed more grey matter atrophy in the frontotemporal areas, accompanied by increased connectivity in the precuneus. Discriminant analysis revealed that functional connectivity of the precuneus within the default mode network at baseline is the parameter able to correctly classify patients in Converters and Non-Converters with high sensitivity, specificity, and accuracy.
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Publication status
- Published
Journal
Journal of Alzheimer's DiseaseISSN
1387-2877Publisher
IOS PressExternal DOI
Issue
2Volume
51Page range
377-389Department affiliated with
- BSMS Neuroscience Publications
Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2016-07-14Usage metrics
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