Beyond binary parcellation of the vestibular cortex - A dataset.
A1, Primary auditory cortex
ACC, Anterior cingulate cortex
BA, Brodmann areal
C, Common cluster
CSF, Cerebrospinal fluid
IC, Independent component
ICA, Independent component analysis
IPL, Inferior parietal lobule
L, Left
L-I, Laterality-index
LH, Left-handed
M/STG, Middle and superior temporal gyrus
M1, Primary motor cortex
MR, Magnetic resonance
MRI, Magnetic resonance imaging
MST, Medial superior temporal area
MSTd, Dorsal medial superior temporal area
MT, Middle temporal area
OP, Operculum
OP2, Operculum 2
P, Parcel
P-P, Parcel to parcel correlation
P-RSN, Parcel to resting state network correlation
PET, Positron emission tomography
PIVC, Parieto-insular vestibular cortex
R, Right
RH, Right-handed
ROI, Region of interest
RSN, Resting-state network
S1, Primary somatosensory cortex
SD, Standard deviation
SMA, Supplementary motor area
STG, Superior temporal gyrus
SVV, Subjective visual vertical
TP, Temporo-parietal
U, Unique voxel
V1–5, Primary, secondary and tertiary visual cortices
VOG, Video-oculography
VOR, Vestibular-ocular reflex
VPS, Visual posterior sylvian area
fCBP, Functional connectivity based parcellation
Journal
Data in brief
ISSN: 2352-3409
Titre abrégé: Data Brief
Pays: Netherlands
ID NLM: 101654995
Informations de publication
Date de publication:
Apr 2019
Apr 2019
Historique:
received:
08
05
2018
revised:
01
01
2019
accepted:
07
01
2019
entrez:
22
2
2019
pubmed:
23
2
2019
medline:
23
2
2019
Statut:
epublish
Résumé
The data-set presented in this data article is supplementary to the original publication, doi:10.1016/j.neuroimage.2018.05.018 (Kirsch et al., 2018). Named article describes handedness-dependent organizational patterns of functional subunits within the human vestibular cortical network that were revealed by functional magnetic resonance imaging (fMRI) connectivity parcellation. 60 healthy volunteers (30 left-handed and 30 right-handed) were examined on a 3T MR scanner using resting state fMRI. The multisensory (non-binary) nature of the human (vestibular) cortex was addressed by using masked binary and non-binary variations of independent component analysis (ICA). The data have been made publicly available via github (https://github.com/RainerBoegle/BeyondBinaryParcellationData).
Identifiants
pubmed: 30788394
doi: 10.1016/j.dib.2019.01.014
pii: S2352-3409(19)30015-0
pii: 103666
pmc: PMC6369267
doi:
Types de publication
Journal Article
Langues
eng
Pagination
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