Paris & HCP brain connectivity data

This database contains the Paris and HCP datasets used in Marrelec et al. (2016). It includes the following files:* empirical_Paris.mat: preprocessed resting-state fMRI time series (TS) and associated diffusion MRI structural connectivity matrices (MAP) for 21 subjects from Paris using the Freesurfer parcellation. The healthy volunteers (right-handed) were recruited within Paris local community. All participants gave written informed consent and the protocol was approved by the local ethics committee. Data were acquired using a 3T Siemens Trio TIM MRI scanner (CENIR, Paris, France). Resting-state fMRI series were recorded during ~11 minutes with a repetition time (TR) of 3.29 s.* empirical_HCP: preprocessed resting-state fMRI time series (TS) and associated diffusion MRI structural connectivity matrices (MAP) for 40 subjects from the Human Connectome Porject (HCP) using the Freesurfer parcellation. Data from healthy, unrelated adults were obtained from the second quarter release (Q2, June 2013) of the HCP database (http://www.humanconnectome.org/documentation/Q2/). Data were collected on a custom 3T Siemens Skyra MRI scanner (Washington University, Saint Louis, United States). Resting-state fMRI data were acquired in four runs of approximately 15 minutes each with a TR of 0.72 s. The four runs were concatenated in time.* freesurferlabels.txt: Freesurfer labels of the 160 regions used for the parcellation.* simulations_individuals_Paris.mat: simulated functional connectivity (FC) matrices generated using an abstract model of brain activity (the SAR model) and simulated resting-state fMRI time series (TS) generated using 6 mainstream computational models of brain activity (models), all using as input the structural connectivity of each individual subject belonging to the Paris dataset. Simulated resting-state fMRI data were simulated during ~8 minutes at a sampling frequency of 2 Hz.* simulations_average_Paris.mat: simulated functional connectivity (FC) matrices generated using an abstract model of brain activity (the SAR model) and simulated resting-state fMRI time series (TS) generated using 6 mainstream computational models of brain activity (models), all using as input the average structural connectivity of all subjects belonging to the Paris dataset. Simulated resting-state fMRI data were simulated during ~8 minutes at a sampling frequency of 2 Hz.* simulations_average_homotopic.mat: simulated functional connectivity (FC) matrices generated using an abstract model of brain activity (the SAR model) and simulated resting-state fMRI time series (TS) generated using 6 mainstream computational models of brain activity (models), all using as input the average structural connectivity of all subjects belonging to the Paris dataset and an artificial addition of homotopic structural connections. Simulated resting-state fMRI data were simulated during ~8 minutes at a sampling frequency of 2 Hz.Reference:Marrelec G, Messé A, Giron A, Rudrauf D (2016) Functional Connectivity’s Degenerate View of Brain Computation. PLoS Comput Biol 12(10): e1005031. doi:10.1371/journal.pcbi.1005031本数据库包含Marrelec等人(2016)研究中使用的巴黎数据集与人类连接组项目（Human Connectome Project, HCP）数据集，具体包含以下文件： * empirical_Paris.mat：包含来自巴黎本地社区招募的21名健康右利手志愿者的经预处理的静息态功能磁共振成像时间序列（time series, TS）与对应的弥散磁共振成像结构连接矩阵（MAP），脑区划分采用FreeSurfer方案。所有受试者均签署书面知情同意书，研究方案经当地伦理委员会批准。数据采用3T西门子Trio TIM磁共振扫描仪（法国巴黎CENIR中心）采集。静息态fMRI扫描时长约11分钟，重复时间（repetition time, TR）为3.29秒。 * empirical_HCP.mat：包含来自人类连接组项目（HCP）的40名健康无亲缘关系成年人的经预处理的静息态功能磁共振成像时间序列（TS）与对应的弥散磁共振成像结构连接矩阵（MAP），脑区划分采用FreeSurfer方案。该数据集取自HCP数据库2013年6月发布的第二季度版本（Q2, June 2013，http://www.humanconnectome.org/documentation/Q2/），数据采集使用定制化3T西门子Skyra磁共振扫描仪（美国华盛顿大学圣路易斯分校）。静息态fMRI数据包含4次扫描，每次时长约15分钟，重复时间（TR）为0.72秒，4次扫描结果按时间顺序拼接。 * freesurferlabels.txt：包含本次脑区划分所用160个脑区的FreeSurfer标签。 * simulations_individuals_Paris.mat：该文件包含使用抽象脑活动模型（SAR model）生成的模拟功能连接（functional connectivity, FC）矩阵，以及采用6种主流脑活动计算模型生成的模拟静息态fMRI时间序列（TS）。所有模拟均以巴黎数据集每名受试者的结构连接作为输入，模拟静息态fMRI数据时长约8分钟，采样频率为2Hz。 * simulations_average_Paris.mat：该文件包含使用抽象脑活动模型（SAR model）生成的模拟功能连接（FC）矩阵，以及采用6种主流脑活动计算模型生成的模拟静息态fMRI时间序列（TS）。所有模拟均以巴黎数据集所有受试者的平均结构连接作为输入，模拟静息态fMRI数据时长约8分钟，采样频率为2Hz。 * simulations_average_homotopic.mat：该文件包含使用抽象脑活动模型（SAR model）生成的模拟功能连接（FC）矩阵，以及采用6种主流脑活动计算模型生成的模拟静息态fMRI时间序列（TS）。所有模拟均以巴黎数据集所有受试者的平均结构连接，外加人工添加的同伦结构连接作为输入，模拟静息态fMRI数据时长约8分钟，采样频率为2Hz。 参考文献：Marrelec G, Messé A, Giron A, Rudrauf D (2016) 脑计算的功能连接简并视角. PLoS Comput Biol 12(10): e1005031. doi:10.1371/journal.pcbi.1005031