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PMID: 19439419 Published · ppublish English 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.

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

Brain : a journal of neurology ·Vol. 132 ·No. Pt 8 ·2009-08-00 ·Pages 2036-47

Querbes O, Aubry F, Pariente J, Lotterie JA, Démonet JF, Duret V, Puel M, Berry I, Fort JC, Celsis P, Alzheimer's Disease Neuroimaging Initiative

Abstract

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.

MeSH Terms
Aged Aged, 80 and over Alzheimer Disease/diagnosis,pathology,psychology Brain Mapping/methods Cerebral Cortex/pathology Cognition Disorders/etiology,psychology Cross-Sectional Studies Disease Progression Early Diagnosis Educational Status Female Follow-Up Studies Humans Magnetic Resonance Imaging/methods Male Neuropsychological Tests Prognosis
Authors & Affiliations
11 authors, click to expand affiliations / ORCID
Querbes Olivier
Inserm, Imagerie cérébrale et handicaps neurologiques UMR 825, F-31059 Toulouse, France. [email protected]
Aubry Florent
Pariente Jérémie
Lotterie Jean-Albert
Démonet Jean-François
Duret Véronique
Puel Michèle
Berry Isabelle
Fort Jean-Claude
Celsis Pierre
Alzheimer's Disease Neuroimaging Initiative
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Article Info
Journal
Brain : a journal of neurology
Abbr.
Brain
ISSN
1460-2156
Published
2009-08-00
Epub
2009-00-12
Pages
2036-47
Language
English
Region
England
NLM ID
0372537
PMCID
PMC2714060
Subset
IM
Grants
NIA NIH HHS · U19 AG010483 · United States
NIA NIH HHS · U01 AG024904 · United States
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