Reduced fractional anisotropy of the genu of the corpus callosum as a cerebrovascular disease marker and predictor of longitudinal cognition in MCI.


Journal

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

Informations de publication

Date de publication:
12 2020
Historique:
received: 30 04 2020
revised: 25 08 2020
accepted: 01 09 2020
pubmed: 7 10 2020
medline: 24 7 2021
entrez: 6 10 2020
Statut: ppublish

Résumé

Our goal was to evaluate the utility of diffusion tensor imaging (DTI) for predicting future cognitive decline in mild cognitive impairment (MCI) in conjunction with Alzheimer's disease (AD) biomarkers (amyloid positron emission tomography and AD signature neurodegeneration) in 132 MCI individuals ≥60 year old with structural magnetic resonance imaging, DTI, amyloid positron emission tomography, and at least one clinical follow-up. We used mixed-effect models to evaluate the prognostic ability of fractional anisotropy of the genu of the corpus callosum (FA-Genu), as a cerebrovascular disease marker, for predicting cognitive decline along with AD biomarkers. We contrasted the value of white matter hyperintensities, a traditional cerebrovascular disease marker as well as FA in the hippocampal cingulum bundle with the FA-Genu models. FA-Genu significantly predicted cognitive decline even after accounting for AD biomarkers. WMH was not associated with cognitive decline in the model with both WMH and FA-Genu. DTI specifically FA-Genu provides unique complementary information to AD biomarkers and has significant utility for prediction of cognitive decline in MCI.

Identifiants

pubmed: 33022474
pii: S0197-4580(20)30282-7
doi: 10.1016/j.neurobiolaging.2020.09.005
pmc: PMC7722208
mid: NIHMS1636721
pii:
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

176-183

Subventions

Organisme : NIA NIH HHS
ID : R01 AG041851
Pays : United States
Organisme : NCRR NIH HHS
ID : C06 RR018898
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG056366
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG034676
Pays : United States
Organisme : NIA NIH HHS
ID : P50 AG016574
Pays : United States
Organisme : NIA NIH HHS
ID : R01 AG011378
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS097495
Pays : United States
Organisme : NIA NIH HHS
ID : R37 AG011378
Pays : United States
Organisme : NIA NIH HHS
ID : U01 AG006786
Pays : United States

Informations de copyright

Copyright © 2020 Elsevier Inc. All rights reserved.

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Auteurs

Sheelakumari Raghavan (S)

Department of Radiology, Mayo Clinic, Rochester, MN, USA.

Scott A Przybelski (SA)

Health Sciences Research, Mayo Clinic, Rochester, MN, USA.

Robert I Reid (RI)

Information Technology, Mayo Clinic, Rochester, MN, USA.

Jonathan Graff-Radford (J)

Department of Neurology, Mayo Clinic, Rochester, MN, USA.

Timothy G Lesnick (TG)

Health Sciences Research, Mayo Clinic, Rochester, MN, USA.

Samantha M Zuk (SM)

Department of Radiology, Mayo Clinic, Rochester, MN, USA.

David S Knopman (DS)

Department of Neurology, Mayo Clinic, Rochester, MN, USA.

Mary M Machulda (MM)

Department of Psychology, Mayo Clinic, Rochester, MN, USA.

Michelle M Mielke (MM)

Health Sciences Research, Mayo Clinic, Rochester, MN, USA; Department of Neurology, Mayo Clinic, Rochester, MN, USA.

Ronald C Petersen (RC)

Department of Neurology, Mayo Clinic, Rochester, MN, USA.

Clifford R Jack (CR)

Department of Radiology, Mayo Clinic, Rochester, MN, USA.

Prashanthi Vemuri (P)

Department of Radiology, Mayo Clinic, Rochester, MN, USA. Electronic address: vemuri.prashanthi@mayo.edu.

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