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MRI and associated behavioural data for stroke survivors (Beh at al, 2021)

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strkvis-mri
DENIS SCHLUPPECK 1b85d99b50 Update 'README.md' 3 years ago
code 862dafd1fa adds validated anat/dwi data for subjects 3 years ago
sourcedata 862dafd1fa adds validated anat/dwi data for subjects 3 years ago
sub-11773 ade26ee8a5 adds functional data for sub-11773 3 years ago
sub-13978 98ad53f61b adds func data for sub-13978 3 years ago
sub-14196 6b97cd5605 adds func data for sub-14196 3 years ago
sub-14326 57de8008a4 adds func data for sub-14326 3 years ago
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.gitignore ade26ee8a5 adds functional data for sub-11773 3 years ago
LICENSE ea97e18013 adds license and some details to datacite.yml file 3 years ago
README.md 1b85d99b50 Update 'README.md' 3 years ago
datacite.yml ea97e18013 adds license and some details to datacite.yml file 3 years ago
dataset_description.json b012281ffe updating details 3 years ago
participants.json 862dafd1fa adds validated anat/dwi data for subjects 3 years ago
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README.md

strkvis-mri

MRI and associated behavioural data for stroke survivors (Beh at al, 2021)

overview

This repository contains the anatomical, functional and diffusion weighted data from four stroke survivors. For each participant in the study, we include raw data as well as some derived data presented in the study.

raw data

Raw data (only allowing for DICOM->NIfTI conversion or conversion to JSON, CSV, TSV from vendor specific file

  • anatomical scans (T1w, T2w)
  • functional MRI scans (retinotopic mapping)
  • diffusion weighted MRI data

contact

  • denis.schluppeck@nottingham.ac.uk
  • kuan.beh@nottingham.ac.uk
datacite.yml
Title Linking multi-modal MRI to clinical measures of visual field loss after stroke
Authors Beh,Kuan;University of Nottingham
McGraw,Paul;University of Nottingham;ORCID:0000-0003-4344-8369
Webb,Ben;University of Nottingham;ORCID:0000-0003-4344-8369
Schluppeck,Denis;University of Nottingham;ORCID:0000-0002-0634-7713
Description Homonymous visual field loss is a common and devastating complication of cerebral strokes. Static perimetry is the current gold standard for measuring residual visual field coverage. However, perimetry has limitations: its coverage is often coarse, it requires good attentional engagement of participants, and provides only indirect information about where in the visual pathway the key processing deficit is located. Here, we present a detailed perimetry and brain imaging dataset from four stroke survivors. We show that population receptive field analysis on functional MRI data provides a robust measure of residual visual field function. We link this functional activity to defined regions from a probabilistic atlas as well as major white matter tracts from probabilistic tractography.
License Creative Commons Attribution-ShareAlike 4.0 (https://creativecommons.org/licenses/by-sa/4.0/)
References Citation1 [doi:10.xxx/zzzz] (IsSupplementTo)
Citation2 [arxiv:mmmm.nnnn] (IsSupplementTo)
Citation3 [pmid:nnnnnnnn] (IsReferencedBy)
Funding Fight for Sight, 5067/5068
Keywords Neuroscience
MRI
stroke
visual
vision
Resource Type Dataset