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AuthorBehler, Annadc.contributor.author
AuthorKassubek, Jan Rainerdc.contributor.author
AuthorMüller, Hans-Peterdc.contributor.author
Date of accession2021-06-25T11:56:27Zdc.date.accessioned
Available in OPARU since2021-06-25T11:56:27Zdc.date.available
Date of first publication2021-06-15dc.date.issued
AbstractBackground: Over the life span, the diffusion metrics in brain MRI show different, partly nonlinear changes. These age-dependent changes also seem to exhibit regional differences with respect to the brain anatomy. The age correction of a study cohort’s diffusion metrics might thus require consideration of age-related factors. Methods: Diffusion tensor imaging data sets were acquired from 219 healthy participants at ages between 19 and 81 years. Fractional anisotropy (FA), mean diffusivity (MD), and axial and radial diffusivity (AD and RD, respectively) maps were analyzed by a tract of interest-based fiber tracking approach. To describe diffusion metrics as a function of the participant age, linear splines were used to perform curve fitting in 21 specific tract systems covering different functional areas and diffusion directions. Results: In the majority of tracts, an interpolation with a change of alteration rate during adult life described the diffusion properties more accurately than a linear model. Consequently, the diffusion properties remained relatively stable until a decrease (of FA) or increase (of MD, AD, and RD) started at a region-specific time point, whereas a uniform change of diffusion properties was observed only in a few tracts. Single tracts, e.g., located in the cerebellum, remained nearly unaltered throughout the ages between 19 and 81 years. Conclusions: Age corrections of diffusion properties should not be applied to all white matter regions and all age spans in the same way. Therefore, we propose three different approaches for age correction based on fiber tracking techniques, i.e., no correction for areas that do not experience age-related changes and two variants of an age correction depending on the age range of the cohort and the tracts considered.dc.description.abstract
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
LicenseCC BY 4.0 Internationaldc.rights
Link to license texthttps://creativecommons.org/licenses/by/4.0/dc.rights.uri
KeywordAge dependencedc.subject
KeywordFractional anisotropydc.subject
KeywordDiffusivitydc.subject
Dewey Decimal GroupDDC 610 / Medicine & healthdc.subject.ddc
MeSHDiffusion tensor imagingdc.subject.mesh
MeSHMagnetic resonance imagingdc.subject.mesh
MeSHAnisotropydc.subject.mesh
MeSHAge factorsdc.subject.mesh
TitleAge-related alterations in DTI metrics in the human brain—consequences for age correctiondc.title
Resource typeWissenschaftlicher Artikeldc.type
VersionpublishedVersiondc.description.version
DOIhttp://dx.doi.org/10.18725/OPARU-38063dc.identifier.doi
URNhttp://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-38125-4dc.identifier.urn
GNDKernspintomografiedc.subject.gnd
GNDDiffusionsgewichtete Magnetresonanztomografiedc.subject.gnd
GNDAnisotropiedc.subject.gnd
InstitutionUKU. Klinik für Neurologieuulm.affiliationSpecific
Peer reviewjauulm.peerReview
DCMI TypeTextuulm.typeDCMI
CategoryPublikationenuulm.category
DOI of original publication10.3389/fnagi.2021.682109dc.relation1.doi
Source - Title of sourceFrontiers in Aging Neurosciencesource.title
Source - Place of publicationFrontiers Mediasource.publisher
Source - Volume13source.volume
Source - Year2021source.year
Source - Article number682109source.articleNumber
Source - eISSN1663-4365source.identifier.eissn
Bibliographyuulmuulm.bibliographie
Is Supplemented Byhttps://www.frontiersin.org/articles/10.3389/fnagi.2021.682109/full#supplementary-materialdc.relation.isSupplementedBy
xmlui.metadata.uulm.OAfundingOpen-Access-Förderung durch die Medizinische Fakultät der Universität Ulmuulm.OAfunding


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