Early diagnosis of Alzheimer's disease using cortical thickness: impact of cognitive reserve.

Détails

ID Serval
serval:BIB_B0509E6F0CF9
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Early diagnosis of Alzheimer's disease using cortical thickness: impact of cognitive reserve.
Périodique
Brain
Auteur⸱e⸱s
Querbes O., Aubry F., Pariente J., Lotterie J.A., Démonet J.F., Duret V., Puel M., Berry I., Fort J.C., Celsis P.
Collaborateur⸱rice⸱s
Alzheimer's Disease Neuroimaging Initiative
ISSN
1460-2156 (Electronic)
ISSN-L
0006-8950
Statut éditorial
Publié
Date de publication
2009
Peer-reviewed
Oui
Volume
132
Numéro
Pt 8
Pages
2036-2047
Langue
anglais
Notes
Publication types: Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S.Publication Status: ppublish
Résumé
Brain atrophy measured by magnetic resonance structural imaging has been proposed as a surrogate marker for the early diagnosis of Alzheimer's disease. Studies on large samples are still required to determine its practical interest at the individual level, especially with regards to the capacity of anatomical magnetic resonance imaging to disentangle the confounding role of the cognitive reserve in the early diagnosis of Alzheimer's disease. One hundred and thirty healthy controls, 122 subjects with mild cognitive impairment of the amnestic type and 130 Alzheimer's disease patients were included from the ADNI database and followed up for 24 months. After 24 months, 72 amnestic mild cognitive impairment had converted to Alzheimer's disease (referred to as progressive mild cognitive impairment, as opposed to stable mild cognitive impairment). For each subject, cortical thickness was measured on the baseline magnetic resonance imaging volume. The resulting cortical thickness map was parcellated into 22 regions and a normalized thickness index was computed using the subset of regions (right medial temporal, left lateral temporal, right posterior cingulate) that optimally distinguished stable mild cognitive impairment from progressive mild cognitive impairment. We tested the ability of baseline normalized thickness index to predict evolution from amnestic mild cognitive impairment to Alzheimer's disease and compared it to the predictive values of the main cognitive scores at baseline. In addition, we studied the relationship between the normalized thickness index, the education level and the timeline of conversion to Alzheimer's disease. Normalized thickness index at baseline differed significantly among all the four diagnosis groups (P < 0.001) and correctly distinguished Alzheimer's disease patients from healthy controls with an 85% cross-validated accuracy. Normalized thickness index also correctly predicted evolution to Alzheimer's disease for 76% of amnestic mild cognitive impairment subjects after cross-validation, thus showing an advantage over cognitive scores (range 63-72%). Moreover, progressive mild cognitive impairment subjects, who converted later than 1 year after baseline, showed a significantly higher education level than those who converted earlier than 1 year after baseline. Using a normalized thickness index-based criterion may help with early diagnosis of Alzheimer's disease at the individual level, especially for highly educated subjects, up to 24 months before clinical criteria for Alzheimer's disease diagnosis are met.
Mots-clé
Aged, Aged, 80 and over, Alzheimer Disease/diagnosis, Alzheimer Disease/pathology, Brain Mapping/methods, Cerebral Cortex/pathology, Cognition Disorders/etiology, Cognition Disorders/psychology, Cross-Sectional Studies, Disease Progression, Early Diagnosis, Educational Status, Female, Follow-Up Studies, Humans, Magnetic Resonance Imaging/methods, Male, Neuropsychological Tests, Prognosis
Pubmed
Web of science
Open Access
Oui
Création de la notice
24/03/2013 19:18
Dernière modification de la notice
20/08/2019 15:19
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