Longitudinal changes in functional brain connectivity predicts conversion to Alzheimer's disease

Serra, Laura, Cercignani, Mara ORCID: https://orcid.org/0000-0002-4550-2456, Mastropasqua, Chiara, Torso, Mario, Spanò, Barbara, Makovac, Elena, Viola, Vanda, Giulietti, Giovanni, Marra, Camillo, Caltagirone, Carlo and Bozzali, Marco 2016. Longitudinal changes in functional brain connectivity predicts conversion to Alzheimer's disease. Journal of Alzheimer's Disease 51 (2) , pp. 377-389. 10.3233/jad-150961

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Abstract

This 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.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Psychology Cardiff University Brain Research Imaging Centre (CUBRIC)
Publisher:	IOS Press
ISSN:	1387-2877
Date of Acceptance:	4 December 2015
Last Modified:	09 Nov 2022 10:27
URI:	https://orca.cardiff.ac.uk/id/eprint/139547

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