Suspected non-alzheimer disease pathophysiology (SNAP) categorization in the insight cohort
EPELBAUM, Stephane
Institut de la Mémoire et de la Maladie d'Alzheimer [CHU Pitié-Salpétriêre] [IM2A]
Algorithms, models and methods for images and signals of the human brain = Algorithmes, modèles et méthodes pour les images et les signaux du cerveau humain [ICM Paris] [ARAMIS]
Institut de la Mémoire et de la Maladie d'Alzheimer [CHU Pitié-Salpétriêre] [IM2A]
Algorithms, models and methods for images and signals of the human brain = Algorithmes, modèles et méthodes pour les images et les signaux du cerveau humain [ICM Paris] [ARAMIS]
BERTRAND, Anne
Algorithms, models and methods for images and signals of the human brain = Algorithmes, modèles et méthodes pour les images et les signaux du cerveau humain [ICM Paris] [ARAMIS]
Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute [ICM]
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Algorithms, models and methods for images and signals of the human brain = Algorithmes, modèles et méthodes pour les images et les signaux du cerveau humain [ICM Paris] [ARAMIS]
Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute [ICM]
EPELBAUM, Stephane
Institut de la Mémoire et de la Maladie d'Alzheimer [CHU Pitié-Salpétriêre] [IM2A]
Algorithms, models and methods for images and signals of the human brain = Algorithmes, modèles et méthodes pour les images et les signaux du cerveau humain [ICM Paris] [ARAMIS]
Institut de la Mémoire et de la Maladie d'Alzheimer [CHU Pitié-Salpétriêre] [IM2A]
Algorithms, models and methods for images and signals of the human brain = Algorithmes, modèles et méthodes pour les images et les signaux du cerveau humain [ICM Paris] [ARAMIS]
BERTRAND, Anne
Algorithms, models and methods for images and signals of the human brain = Algorithmes, modèles et méthodes pour les images et les signaux du cerveau humain [ICM Paris] [ARAMIS]
Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute [ICM]
Algorithms, models and methods for images and signals of the human brain = Algorithmes, modèles et méthodes pour les images et les signaux du cerveau humain [ICM Paris] [ARAMIS]
Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute [ICM]
COLLIOT, Olivier
Algorithms, models and methods for images and signals of the human brain = Algorithmes, modèles et méthodes pour les images et les signaux du cerveau humain [ICM Paris] [ARAMIS]
Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute [ICM]
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Algorithms, models and methods for images and signals of the human brain = Algorithmes, modèles et méthodes pour les images et les signaux du cerveau humain [ICM Paris] [ARAMIS]
Institut du Cerveau et de la Moëlle Epinière = Brain and Spine Institute [ICM]
Langue
en
Communication dans un congrès avec actes
Ce document a été publié dans
AAIC, 2016, Toronto. vol. 12, n° 7, p. P1073 - P1074
Résumé en anglais
BackgroundSuspected non-Alzheimer disease pathophysiology (SNAP) individuals are participants to studies on Alzheimer’s disease (AD) biomarkers that are considered positive for markers of neurodegeneration and negative for ...Lire la suite >
BackgroundSuspected non-Alzheimer disease pathophysiology (SNAP) individuals are participants to studies on Alzheimer’s disease (AD) biomarkers that are considered positive for markers of neurodegeneration and negative for markers of brain amyloidosis in the absence of a major neurocognitive disorder. This concept probably encompasses numerous neurological diseases in which the mildness of symptoms is responsible for a generic term to be proposed instead of a diagnosis.MethodsWe categorized SNAP subjects in the INSIGHT cohort, a mono-centric French cohort at the University Salpêtrière Hospital in Paris including 317 individuals with subjective cognitive decline (SCD) between 70-85 year. Standardized demographic, cognitive, MRI, 18FDG and AV45 PET imaging were performed in each subject. The SNAP population was determined based on cut-offs scores adapted from the literature. Each SNAP participant’s complete medical file was analyzed by an expert committee comprised of 3 neurologists, 1 geriatrician, 1 neuropsychologist, 1 neuroradiologist and 1 nuclear medicine MD. Diagnostic algorithms were adapted from international consensus criteria for various neurological conditions (eg Rascovsky’s criteria for Fronto-temporal dementia).ResultsAmong the INSIGHT participants, 88 are considered amyloid (+) with a significantly increased cortical uptake of the tracer above threshold on PET imaging, and 229 are amyloid (-). The 229 amyloid negative individuals were categorized in 4 groups determined by their clinico-radiological status: Healthy control, SNAP-AD when neurodegeneration was suggestive of AD, SNAP-NONAD when the neurodegeneration was incompatible with typical AD and SNAP-MIXED in all other participants. We have then applied our diagnostic procedure in the SNAP participants to determine if this group can be divided into known neurological diseases.ConclusionsThis is one of the first attempts to refine the diagnostic procedure in SNAP, a frequent condition in the elderly population. Similarly to AD, a presymptomatic/early symptomatic phase of different brain affections can be diagnosed instead of using the SNAP acronym.< Réduire
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