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