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.

Serra, L., Cercignani, M., Mastropasqua, C., Torso, M., Spano, B., Makovac, E., et al. (2016). Longitudinal changes in functional brain connectivity predicts conversion to Alzheimer's disease. JOURNAL OF ALZHEIMER'S DISEASE, 51(2), 377-389 [10.3233/JAD-150961].

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

CALTAGIRONE, CARLO;
2016

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.
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore MED/26 - Neurologia
English
Con Impact Factor ISI
Alzheimer’s disease; functional disconnection; grey matter atrophy; longitudinal study; mild cognitive impairment; Aged; Alzheimer Disease; Atrophy; Brain; Brain Mapping; Cognitive Dysfunction; Cross-Sectional Studies; Discriminant Analysis; Disease Progression; Female; Follow-Up Studies; Gray Matter; Humans; Image Processing, Computer-Assisted; Longitudinal Studies; Magnetic Resonance Imaging; Male; Neural Pathways; Neuropsychological Tests; Prognosis; Rest
Serra, L., Cercignani, M., Mastropasqua, C., Torso, M., Spano, B., Makovac, E., et al. (2016). Longitudinal changes in functional brain connectivity predicts conversion to Alzheimer's disease. JOURNAL OF ALZHEIMER'S DISEASE, 51(2), 377-389 [10.3233/JAD-150961].
Serra, L; Cercignani, M; Mastropasqua, C; Torso, M; Spano, B; Makovac, E; Viola, V; Giulietti, G; Marra, C; Caltagirone, C; Bozzali, M
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2108/170821
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