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AuthorMüller, Hans-Peterdc.contributor.author
AuthorRoselli, Francescodc.contributor.author
AuthorRasche, Volkerdc.contributor.author
AuthorKassubek, Jan Rainerdc.contributor.author
Date of accession2020-12-10T14:49:16Zdc.date.accessioned
Available in OPARU since2020-12-10T14:49:16Zdc.date.available
Date of first publication2020-08-31dc.date.issued
AbstractThe understanding of human and non-human microstructural brain alterations in the course of neurodegenerative diseases has substantially improved by the non-invasive magnetic resonance imaging (MRI) technique of diffusion tensor imaging (DTI). Animal models (including disease or knockout models) allow for a variety of experimental manipulations, which are not applicable to humans. Thus, the DTI approach provides a promising tool for cross-species cross-sectional and longitudinal investigations of the neurobiological targets and mechanisms of neurodegeneration. This overview with a systematic review focuses on the principles of DTI analysis as used in studies at the group level in living preclinical models of neurodegeneration. The translational aspect from in-vivo animal models toward (clinical) applications in humans is covered as well as the DTI-based research of the non-human brains’ microstructure, the methodological aspects in data processing and analysis, and data interpretation at different abstraction levels. The aim of integrating DTI in multiparametric or multimodal imaging protocols will allow the interrogation of DTI data in terms of directional flow of information and may identify the microstructural underpinnings of neurodegeneration-related patterns.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
KeywordDTIdc.subject
Keywordtranslationaldc.subject
Keywordneurodegenerationdc.subject
Keywordgroup studiesdc.subject
Keywordtraumatic brain-injurydc.subject
Keywordwhite-matter damagedc.subject
Keywordmouse modeldc.subject
Keywordmicrostructural changesdc.subject
Keywordin vivo animal modeldc.subject
Dewey Decimal GroupDDC 610 / Medicine & healthdc.subject.ddc
LCSHDiffusion tensor imagingdc.subject.lcsh
LCSHMagnetic resonancedc.subject.lcsh
MeSHNeurodegenerative diseasesdc.subject.mesh
MeSHDiffusion magnetic resonance imagingdc.subject.mesh
MeSHCentral nervous system diseases; Diagnostic imagingdc.subject.mesh
MeSHAlzheimer diseasedc.subject.mesh
MeSHWhite matterdc.subject.mesh
TitleDiffusion tensor imaging-based studies at the group-level applied to animal models of neurodegenerative diseasesdc.title
Resource typeWissenschaftlicher Artikeldc.type
VersionpublishedVersiondc.description.version
DOIhttp://dx.doi.org/10.18725/OPARU-34051dc.identifier.doi
URNhttp://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-34113-5dc.identifier.urn
GNDNervendegenerationdc.subject.gnd
GNDDiffusionsgewichtete Magnetresonanztomografiedc.subject.gnd
GNDKernspintomografiedc.subject.gnd
GNDAlzheimerkrankheitdc.subject.gnd
GNDSubstantia albadc.subject.gnd
InstitutionUKU. Klinik für Neurologieuulm.affiliationSpecific
Peer reviewjauulm.peerReview
DCMI TypeTextuulm.typeDCMI
CategoryPublikationenuulm.category
In cooperation withDeutsches Zentrum für Neurodegenerative Erkrankungen e. V. (DZNE)uulm.cooperation
eISSN1662-453Xdc.identifier.eissn
DOI of original publication10.3389/fnins.2020.00734dc.relation1.doi
Source - Title of sourceFrontiers in Neurosciencesource.title
Source - Place of publicationFrontiers Mediasource.publisher
Source - Volume14source.volume
Source - Year2020source.year
Source - Article number734source.articleNumber
Source - ISSN1662-4548source.identifier.issn
Source - eISSN1662-453Xsource.identifier.eissn
Bibliographyuulmuulm.bibliographie
DFG project uulmSFB 1149 / Gefahrenantwort, Störfaktoren und regeneratives Potential nach akutem Trauma / DFG / 251293561uulm.projectDFG
xmlui.metadata.uulm.OAfundingGefördert vom Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberguulm.OAfunding
xmlui.metadata.uulm.OAfundingOpen-Access-Förderung durch die Medizinische Fakultät der Universität Ulmuulm.OAfunding


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