Free water diffusion MRI and executive function with a speed component in healthy aging.


Journal

NeuroImage
ISSN: 1095-9572
Titre abrégé: Neuroimage
Pays: United States
ID NLM: 9215515

Informations de publication

Date de publication:
15 08 2022
Historique:
received: 01 03 2022
revised: 06 05 2022
accepted: 09 05 2022
pubmed: 15 5 2022
medline: 22 6 2022
entrez: 14 5 2022
Statut: ppublish

Résumé

Extracellular free water (FW) increases are suggested to better provide pathophysiological information in brain aging than conventional biomarkers such as fractional anisotropy. The aim of the present study was to determine the relationship between conventional biomarkers, FW in white matter hyperintensities (WMH), FW in normal appearing white matter (NAWM) and in white matter tracts and executive functions (EF) with a speed component in elderly persons. We examined 226 healthy elderly participants (median age 69.83 years, IQR: 56.99-74.42) who underwent brain MRI and neuropsychological examination. FW in WMH and in NAWM as well as FW corrected diffusion metrics and measures derived from conventional MRI (white matter hyperintensities, brain volume, lacunes) were used in partial correlation (adjusted for age) to assess their correlation with EF with a speed component. Random forest analysis was used to assess the relative importance of these variables as determinants. Lastly, linear regression analyses of FW in white matter tracts corrected for risk factors of cognitive and white matter deterioration, were used to examine the role of specific tracts on EF with a speed component, which were then ranked with random forest regression. Partial correlation analyses revealed that almost all imaging metrics showed a significant association with EF with a speed component (r = -0.213 - 0.266). Random forest regression highlighted FW in WMH and in NAWM as most important among all diffusion and structural MRI metrics. The fornix (R

Identifiants

pubmed: 35568345
pii: S1053-8119(22)00422-0
doi: 10.1016/j.neuroimage.2022.119303
pmc: PMC9465649
mid: NIHMS1832292
pii:
doi:

Substances chimiques

Biomarkers 0
Water 059QF0KO0R

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

119303

Subventions

Organisme : NIBIB NIH HHS
ID : P41 EB015902
Pays : United States

Informations de copyright

Copyright © 2022. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declarations of Competing Interest None.

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Auteurs

Martin Berger (M)

Department of Neurology, Division of Neurogeriatrics, Medical University of Graz, Auenbruggerplatz 22, Graz 8036, Austria.

Lukas Pirpamer (L)

Department of Neurology, Division of Neurogeriatrics, Medical University of Graz, Auenbruggerplatz 22, Graz 8036, Austria.

Edith Hofer (E)

Department of Neurology, Division of Neurogeriatrics, Medical University of Graz, Auenbruggerplatz 22, Graz 8036, Austria; Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria.

Stefan Ropele (S)

Department of Neurology, Division of Neurogeriatrics, Medical University of Graz, Auenbruggerplatz 22, Graz 8036, Austria.

Marco Duering (M)

Medical Image Analysis Center (MIAC AG) and Department of Biomedical Engineering, University of Basel, Basel, Switzerland.

Benno Gesierich (B)

Institute for Stroke and Dementia Research (ISD), University Hospital, Munich, Germany.

Ofer Pasternak (O)

Departments of Psychiatry and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.

Christian Enzinger (C)

Department of Neurology, Medical University of Graz, Graz, Austria.

Reinhold Schmidt (R)

Department of Neurology, Division of Neurogeriatrics, Medical University of Graz, Auenbruggerplatz 22, Graz 8036, Austria. Electronic address: reinhold.schmidt@medunigraz.at.

Marisa Koini (M)

Department of Neurology, Division of Neurogeriatrics, Medical University of Graz, Auenbruggerplatz 22, Graz 8036, Austria.

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Classifications MeSH