Sulcal morphology as cognitive decline predictor in older adults with memory complaints.

Aged Alzheimer Disease Cerebral Cortex / diagnostic imaging Cognition Cognitive Dysfunction / diagnostic imaging Humans Magnetic Resonance Imaging
Cerebral sulci Cognitive decline Neuroimaging biomarkers Older adults

Journal

Neurobiology of aging
ISSN: 1558-1497
Titre abrégé: Neurobiol Aging
Pays: United States
ID NLM: 8100437

Informations de publication

Date de publication:
05 2022
Historique:
received: 13 11 2020
revised: 08 12 2021
accepted: 08 02 2022
pubmed: 25 3 2022
medline: 26 4 2022
entrez: 24 3 2022
Statut: ppublish

Résumé

To determine whether sulcal morphology can predict changes in cognition, we investigated the relationship between width of 20 cerebral sulci and cognitive decline. Sulcal width was measured in T1-weighted MRI images at baseline in 433 adults aged ≥70 years with memory complaints from the MRI-Multidomain Alzheimer Preventive Trial study. Cognition was evaluated at baseline, 6, 12, 24, and 36 months of follow-up with a composite Z score. The composite score variations over time relative to the baseline sulcal width were assessed using linear mixed regression models. We observed a positive association between a greater decline in cognitive composite score and the width of the superior and the anterior inferior temporal sulci, and the cingulate anterior sulcus of the left hemisphere. Sulcal widening in the lateral temporal and the cingulate anterior areas might predict cognitive decline in individuals with memory complaints.

Identifiants

DOI: 10.1016/j.neurobiolaging.2022.02.003 PMID: 35325814
pubmed: 35325814
pii: S0197-4580(22)00024-0
doi: 10.1016/j.neurobiolaging.2022.02.003
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

84-94

Informations de copyright

Copyright © 2022 Elsevier Inc. All rights reserved.

Auteurs

Marion Mortamais (M)

Institute for Neurosciences of Montpellier INM, Univ Montpellier, INSERM, Montpellier, France. Electronic address: marion.mortamais@inserm.fr.

Laure-Anne Gutierrez (LA)

Institute for Neurosciences of Montpellier INM, Univ Montpellier, INSERM, Montpellier, France.

Marianne Balem (M)

Institute for Neurosciences of Montpellier INM, Univ Montpellier, INSERM, Montpellier, France.

Emmanuelle Le Bars (EL)

Institut d'Imagerie Fonctionnelle Humaine, I2FH, Hospital and University of Montpellier, Montpellier, France.

Nicolas Menjot de Champfleur (NM)

Institut d'Imagerie Fonctionnelle Humaine, I2FH, Hospital and University of Montpellier, Montpellier, France.

Ali Bouyahia (A)

Institut du Cerveau et de la Moelle épinière, ICM, INSERM, Sorbonne Universités, UPMC, Paris, France.

Marie Chupin (M)

Institut du Cerveau et de la Moelle épinière, ICM, INSERM, Sorbonne Universités, UPMC, Paris, France.

Lisa Perus (L)

Institute for Neurosciences of Montpellier INM, Univ Montpellier, INSERM, Montpellier, France; CATI, Université Paris-Saclay, CEA, CNRS, Neurospin, Baobab, Gif-sur-Yvette, France; Memory Resources and Research Center, Department of Neurology, Gui de Chauliac Hospital, Montpellier, France.

Clara Fisher (C)

CATI, Université Paris-Saclay, CEA, CNRS, Neurospin, Baobab, Gif-sur-Yvette, France.

Bruno Vellas (B)

INSERM UMR 1027, Toulouse, France; University of Toulouse III, Toulouse, France; Department of Geriatrics, Hospital and University of Toulouse, Toulouse, France.

Sandrine Andrieu (S)

INSERM UMR 1027, Toulouse, France; University of Toulouse III, Toulouse, France; Department of Epidemiology and Public Health, Hospital and University of Toulouse, Toulouse, France.

Jean-François Mangin (JF)

CATI, Université Paris-Saclay, CEA, CNRS, Neurospin, Baobab, Gif-sur-Yvette, France.

Claudine Berr (C)

Institute for Neurosciences of Montpellier INM, Univ Montpellier, INSERM, Montpellier, France.

Audrey Gabelle (A)

Institute for Neurosciences of Montpellier INM, Univ Montpellier, INSERM, Montpellier, France; Memory Resources and Research Center, Department of Neurology, Gui de Chauliac Hospital, Montpellier, France.

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Classifications MeSH

questionsmedicales.fr › Personnes › Tranches d'âge › Adulte › Sujet âgé › Sulcal morphology as cognitive decline...
questionsmedicales.fr › Troubles mentaux › Troubles neurocognitifs › Démence › Maladie d'Alzheimer › Sulcal morphology as cognitive decline...
questionsmedicales.fr › Système nerveux › Système nerveux central › Encéphale › Prosencéphale › Télencéphale › Cerveau › Cortex cérébral › Sulcal morphology as cognitive decline...
questionsmedicales.fr › Phénomènes psychologiques › Processus mentaux › Cognition › Sulcal morphology as cognitive decline...
questionsmedicales.fr › Troubles mentaux › Troubles neurocognitifs › Troubles de la cognition › Dysfonctionnement cognitif › Sulcal morphology as cognitive decline...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Primates › Haplorhini › Catarrhini › Hominidae › Humains › Sulcal morphology as cognitive decline...
questionsmedicales.fr › Diagnostic › Techniques et procédures diagnostiques › Imagerie diagnostique › Tomographie › Imagerie par résonance magnétique › Sulcal morphology as cognitive decline...