Beyond binary parcellation of the vestibular cortex - A dataset.

Autor: Kirsch V; Department of Neurology, Ludwig-Maximilians Universität, Munich, Germany.; Graduate School of Systemic Neuroscience, Ludwig-Maximilians Universität, Munich, Germany.; German Center for Vertigo and Balance Disorders-IFBLMU, Ludwig-Maximilians Universität, Munich, Germany., Boegle R; Graduate School of Systemic Neuroscience, Ludwig-Maximilians Universität, Munich, Germany.; German Center for Vertigo and Balance Disorders-IFBLMU, Ludwig-Maximilians Universität, Munich, Germany., Keeser D; Department of Radiology, Ludwig-Maximilians Universität, Munich, Germany.; Department of Psychiatry, Ludwig-Maximilians Universität, Munich, Germany., Kierig E; Department of Neurology, Ludwig-Maximilians Universität, Munich, Germany.; German Center for Vertigo and Balance Disorders-IFBLMU, Ludwig-Maximilians Universität, Munich, Germany., Ertl-Wagner B; German Center for Vertigo and Balance Disorders-IFBLMU, Ludwig-Maximilians Universität, Munich, Germany.; Department of Radiology, Ludwig-Maximilians Universität, Munich, Germany.; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany., Brandt T; German Center for Vertigo and Balance Disorders-IFBLMU, Ludwig-Maximilians Universität, Munich, Germany.; Clinical Neuroscience, Ludwig-Maximilians Universität, Munich, Germany., Dieterich M; Department of Neurology, Ludwig-Maximilians Universität, Munich, Germany.; Graduate School of Systemic Neuroscience, Ludwig-Maximilians Universität, Munich, Germany.; German Center for Vertigo and Balance Disorders-IFBLMU, Ludwig-Maximilians Universität, Munich, Germany.; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.
Jazyk: angličtina
Zdroj: Data in brief [Data Brief] 2019 Jan 22; Vol. 23, pp. 103666. Date of Electronic Publication: 2019 Jan 22 (Print Publication: 2019).
DOI: 10.1016/j.dib.2019.01.014
Abstrakt: 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).
Databáze: MEDLINE
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