SPiCiCAP framework

This dataset was acquired to investigate spatio-temporal properties of spinal resting-state fluctuations using a dynamic connectivity approach, the SPiCiCAP framework. Details can be found in the related publication: Kinany, N., Pirondini, E., Van De Ville, D., and Micera, S. (2020). Dynamic functional connectivity of resting-state spinal cord fMRI reveals fine-grained intrinsic architecture. Neuron. === Data === We provide a spinal cord fMRI dataset containing 22 healthy subjects, with a resting-state scan (15 minutes) for each participant. Raw, processed and analyzed data are included. === Code === The SPiCiCAP framework comprises the following steps: 1- Processing pipeline for spinal cord fMRI 2- Extracting iCAPs (i.e., networks based on dynamic functional connectivity) 3- Analyze iCAPs spatio-temporal properties本数据集旨在通过动态连接性方法，探究脊髓静息态波动的时间-空间特性，采用 SPiCiCAP 框架进行采集。 详细内容可见相关出版物：Kinany, N., Pirondini, E., Van De Ville, D., & Micera, S. (2020). 静息态脊髓功能连接的动态连接性揭示精细的内在架构. Neuron. === 数据 === 本数据集包含22名健康受试者的脊髓fMRI数据，每位参与者均进行了一项静息态扫描（15分钟）。数据集包含原始数据、处理数据和分析数据。 === 代码 === SPiCiCAP 框架包括以下步骤： 1. 脊髓fMRI数据处理流程 2. 提取iCAPs（即基于动态功能连接的网络） 3. 分析iCAPs的时间-空间特性