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Tract-specific statistics based on diffusion-weighted probabilistic tractography

dc.contributor.authorHoffstaedter, Felix
dc.contributor.authorCamilleri, Julia A.
dc.contributor.authorEickhoff, Simon B.
dc.contributor.authorReid, Andrewen_UK
dc.date.accessioned2021-03-11T08:36:38Z
dc.date.available2021-03-11T08:36:38Z
dc.date.issued2021-03-11
dc.identifier.urihttps://rdmc.nottingham.ac.uk/handle/internal/9128
dc.description.abstractThis repository contains data derived from a diffusion-weighted imaging (DWI) study (Reid and colleagues, 2021). Data include: (1) parameters used to run "dwi-tracts"; (2) NIFTI-format region-of-interest images; (3) derived tract probability distributions and corresponding polylines; (4) derived participant-wise tract-specific anisotropy (TSA) measures; (5) results from GLM analyses; and (6) associated plots.en_UK
dc.language.isoenen_UK
dc.publisherThe University of Nottinghamen_UK
dc.relation.urihttps://github.com/neurocoglab/dwi-tractsen_UK
dc.rightsCC-BY*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subject.lcshBrain -- Imagingen_UK
dc.subject.lcshBrain -- Physiologyen_UK
dc.subject.lcshBrain -- Magnetic resonance imagingen_UK
dc.subject.lcshBrain -- Magnetic resonance imaging -- Statisticsen_UK
dc.subject.meshMagnetic Resonance Imaging -- methodsen_UK
dc.subject.meshMagnetic Resonance Imaging -- statistics & numerical dataen_UK
dc.subject.meshBrain -- physiologyen_UK
dc.subject.meshModels, Statisticalen_UK
dc.titleTract-specific statistics based on diffusion-weighted probabilistic tractographyen_UK
dc.identifier.doihttp://doi.org/10.17639/nott.7102
dc.subject.freediffusion weighted imaging, magnetic resonance imaging, brain connectivity, tract-specific anisotropyen_UK
dc.subject.jacsBiological Sciencesen_UK
dc.subject.lcQ Scienceen_UK
dc.date.collection2018-2021en_UK
uon.divisionUniversity of Nottingham, UK Campus::Faculty of Science::School of Psychologyen_UK
uon.funder.controlledOtheren_UK
uon.datatypeNeuroimaging volumes, JSON parameter files, SVG figures, 3D polygonsen_UK
uon.funder.freeNational Institute of Mental Healthen_UK
uon.grantR01-MH074457en_UK
uon.collectionmethodPublic database, Python software, FSL softwareen_UK
uon.preservation.rarelyaccessedtrue
dc.relation.doi10.1101/2021.03.05.434061


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