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dc.contributor.authorMaiter, Ahmeden
dc.contributor.authorRiemer, Franken
dc.contributor.authorAllinson, Kierenen
dc.contributor.authorZaccagna, Fulvioen
dc.contributor.authorCrispin-Ortuzar, Mireiaen
dc.contributor.authorGehrung, Marcelen
dc.contributor.authorMcLean, Maryen
dc.contributor.authorPriest, Andrew Nen
dc.contributor.authorGrist, Jamesen
dc.contributor.authorMatys, Tomasz Matysen
dc.contributor.authorGraves, Martinen
dc.contributor.authorGallagher, Ferdiaen
dc.date.accessioned2021-03-29T23:30:12Z
dc.date.available2021-03-29T23:30:12Z
dc.date.issued2021-04-23en
dc.identifier.issn2045-2322
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/319328
dc.description.abstractMeasurements of water diffusion with MRI have been used as a biomarker of tissue microstructure and heterogeneity. In this study, diffusion kurtosis tensor imaging (DKTI) of the brain was undertaken in 10 healthy volunteers at a clinical field strength of 3 T. Diffusion and kurtosis metrics were measured in regions-of-interest on the resulting maps and compared with quantitative analysis of normal post-mortem tissue histology from separate age-matched donors. White matter regions showed low diffusion (0.60 ± 0.04 × 10-3 mm2/s) and high kurtosis (1.17 ± 0.06), consistent with a structured heterogeneous environment comprising parallel neuronal fibres. Grey matter showed intermediate diffusion (0.80 ± 0.02 × 10-3 mm2/s) and kurtosis (0.82 ± 0.05) values. An important finding is that the subcortical regions investigated (thalamus, caudate and putamen) showed similar diffusion and kurtosis properties to white matter. Histological staining of the subcortical nuclei demonstrated that the predominant grey matter was permeated by small white matter bundles, which could account for the similar kurtosis to white matter. Quantitative histological analysis demonstrated higher mean tissue kurtosis and vector standard deviation values for white matter (1.08 and 0.81) compared to the subcortical regions (0.34 and 0.59). Mean diffusion on DKTI was positively correlated with tissue kurtosis (r = 0.82, p < 0.05) and negatively correlated with vector standard deviation (r = -0.69, p < 0.05). This study demonstrates how DKTI can be used to study regional structural variations in the cerebral tissue microenvironment and could be used to probe microstructural changes within diseased tissue in the future.
dc.format.mediumElectronicen
dc.languageengen
dc.publisherNature Publishing Group
dc.rights
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleInvestigating the relationship between diffusion kurtosis tensor imaging (DKTI) and histology within the normal human brain.en
dc.typeArticle
prism.issueIdentifier1en
prism.publicationDate2021en
prism.publicationNameScientific reportsen
prism.startingPage8857
prism.volume11en
dc.identifier.doi10.17863/CAM.66452
dcterms.dateAccepted2021-03-26en
rioxxterms.versionofrecord10.1038/s41598-021-87857-wen
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2021-04-23en
dc.contributor.orcidMcLean, Mary [0000-0002-3752-0179]
dc.contributor.orcidMatys, Tomasz Matys [0000-0003-2285-5715]
dc.contributor.orcidGraves, Martin [0000-0003-4327-3052]
dc.contributor.orcidGallagher, Ferdia [0000-0003-4784-5230]
dc.identifier.eissn2045-2322
rioxxterms.typeJournal Article/Reviewen
pubs.funder-project-idEvelyn Trust (project ref 15/37)
pubs.funder-project-idMultiple Sclerosis Society (35)
pubs.funder-project-idCancer Research UK (C12912/A27150)
pubs.funder-project-idCambridge University Hospitals NHS Foundation Trust (CUH) (3819-1819-07)
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