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dc.contributor.authorCury, Claireen
dc.contributor.authorDurrleman, Stanleyen
dc.contributor.authorCash, David Men
dc.contributor.authorLorenzi, Marcoen
dc.contributor.authorNicholas, Jennifer Men
dc.contributor.authorBocchetta, Martinaen
dc.contributor.authorvan Swieten, John Cen
dc.contributor.authorBorroni, Barbaraen
dc.contributor.authorGalimberti, Danielaen
dc.contributor.authorMasellis, Marioen
dc.contributor.authorTartaglia, Maria Carmelaen
dc.contributor.authorRowe, Jamesen
dc.contributor.authorGraff, Carolineen
dc.contributor.authorTagliavini, Fabrizioen
dc.contributor.authorFrisoni, Giovanni Ben
dc.contributor.authorLaforce, Roberten
dc.contributor.authorFinger, Elizabethen
dc.contributor.authorde Mendonça, Alexandreen
dc.contributor.authorSorbi, Sandroen
dc.contributor.authorOurselin, Sebastienen
dc.contributor.authorRohrer, Jonathan Den
dc.contributor.authorModat, Marcen
dc.contributor.authorGenetic FTD Initiative, GENFI,en
dc.date.accessioned2019-01-03T00:30:32Z
dc.date.available2019-01-03T00:30:32Z
dc.date.issued2019-03en
dc.identifier.issn1053-8119
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/287493
dc.description.abstractBrain atrophy as measured from structural MR images, is one of the primary imaging biomarkers used to track neurodegenerative disease progression. In diseases such as frontotemporal dementia or Alzheimer's disease, atrophy can be observed in key brainstructures years before any clinical symptoms are present. Atrophy is most commonly captured as volume change of key structures and the shape changes of these structures are typically not analysed despite being potentially more sensitive than summary volume statistics over the entire structure. In this paper we propose a spatiotemporal analysis pipeline based on Large Di eomor- phic Deformation Metric Mapping (LDDMM) to detect shape changes from volumetric MRI scans. We applied our framework to a cohort of individuals with genetic variants of frontotemporal dementia and healthy controls from the Genetic FTD Initiative (GENFI) study. Our method, take full advantage of the LDDMM framework, and relies on the creation of a population speci c average spatiotemporal trajectory of a relevant brain structure of interest, the thalamus in our case. The residuals from each patient data to the average spatiotemporal trajectory are then clustered and studied to assess when presymptomatic mutation carriers di er from healthy control subjects. We found statistical di erences in shape in the anterior region of the thalamus at least ve years before the mutation carrier subjects develop any clinical symptoms. This region of the thalamus has been shown to be predominantly connected to the frontal lobe, consistent with the pattern of cortical atrophy seen in the disease.
dc.format.mediumPrint-Electronicen
dc.languageengen
dc.publisherElsevier
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectGenetic FTD Initiative, GENFIen
dc.subjectThalamusen
dc.subjectHumansen
dc.subjectMagnetic Resonance Imagingen
dc.subjectCohort Studiesen
dc.subjectMiddle Ageden
dc.subjectFemaleen
dc.subjectMaleen
dc.subjectFrontotemporal Dementiaen
dc.subjectNeuroimagingen
dc.subjectSpatio-Temporal Analysisen
dc.subjectProdromal Symptomsen
dc.titleSpatiotemporal analysis for detection of pre-symptomatic shape changes in neurodegenerative diseases: Initial application to the GENFI cohort.en
dc.typeArticle
prism.endingPage290
prism.publicationDate2019en
prism.publicationNameNeuroImageen
prism.startingPage282
prism.volume188en
dc.identifier.doi10.17863/CAM.34798
dcterms.dateAccepted2018-11-30en
rioxxterms.versionofrecord10.1016/j.neuroimage.2018.11.063en
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2019-03en
dc.contributor.orcidCury, Claire [0000-0002-9903-7940]
dc.contributor.orcidLorenzi, Marco [0000-0003-0521-2881]
dc.contributor.orcidBocchetta, Martina [0000-0003-1814-5024]
dc.contributor.orcidGalimberti, Daniela [0000-0002-9284-5953]
dc.contributor.orcidRowe, James [0000-0001-7216-8679]
dc.contributor.orcidGraff, Caroline [0000-0002-9949-2951]
dc.contributor.orcidTagliavini, Fabrizio [0000-0003-1039-7315]
dc.contributor.orcidFrisoni, Giovanni B [0000-0002-6419-1753]
dc.contributor.orcidLaforce, Robert [0000-0002-2031-490X]
dc.contributor.orcidde Mendonça, Alexandre [0000-0002-0488-1453]
dc.contributor.orcidSorbi, Sandro [0000-0002-0380-6670]
dc.contributor.orcidRohrer, Jonathan D [0000-0002-6155-8417]
dc.identifier.eissn1095-9572
rioxxterms.typeJournal Article/Reviewen
pubs.funder-project-idWELLCOME TRUST (103838/Z/14/Z)
pubs.funder-project-idMEDICAL RESEARCH COUNCIL (MR/J009482/1)
pubs.funder-project-idMEDICAL RESEARCH COUNCIL (MR/M009041/1)
pubs.funder-project-idMedical Research Council (MC_U105597119)
pubs.funder-project-idMEDICAL RESEARCH COUNCIL (MR/M024873/1)


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Attribution 4.0 International
Except where otherwise noted, this item's licence is described as Attribution 4.0 International