Kirsch V, Boegle R, Keeser D, Kierig E, Ertl-Wagner B, Brandt T, Dieterich M
Department of Neurology, Ludwig-Maximilians Universität, Munich, Germany.
Graduate School of Systemic Neuroscience, Ludwig-Maximilians Universität, Munich, Germany.
Data Brief. 2019 Jan 22;23:103666. doi: 10.1016/j.dib.2019.01.014. eCollection 2019 Apr.
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).
本数据文章中呈现的数据集是对原始出版物（doi:10.1016/j.neuroimage.2018.05.018，Kirsch等人，2018年）的补充。该文章描述了通过功能磁共振成像（fMRI）连接分割揭示的人类前庭皮质网络内功能亚单位的利手依赖性组织模式。60名健康志愿者（30名左利手和30名右利手）在3T MR扫描仪上使用静息态fMRI进行了检查。通过使用独立成分分析（ICA）的掩码二进制和非二进制变体来研究人类（前庭）皮质的多感官（非二进制）性质。这些数据已通过github（https://github.com/RainerBoegle/BeyondBinaryParcellationData）公开提供。
