DOI: 10.5281/zenodo.3338449
title: EDEN2020 Human Brain MRI Datasets for Healthy Volunteers

description: High-resolution MR datasets of a cohort of 15 healthy adult subjects acquired on a 3T scanner at the Neuroradiology Unit and CERMAC (Center of Excellence for High Field Magnetic Resonance), Vita-Salute San Raffaele University and IRCCS San Raffaele Scientific Institute, Milano, Italy. The data includes: T1_3D_PROSET_Sag: T1-weighted volumetric sequence acquired on the sagittal plane for morphological characterization. This sequence demonstrates difference in the T1 relaxation time of tissues and provide excellent contrast between GM and WM. 3D_FLAIR_Tra: Fluid‑Attenuated Inversion Recovery volumetric sequence acquired on the axial planefor morphological characterization. This is an inversion recovery sequence with a long inversion time (TI), which results in removing signal from the cerebrospinal fluid from the images. SWIp_axial: Susceptibility‑Weighted Imaging sequence acquired on the axial plane.This is a three-dimensional high-spatial resolution Gradient Echo MRI sequence providing excellent contrast for venous vascular modeling. s3DI_MC_HR: three‑dimensional high‑resolution time‑of‑flight (TOF) MR angiography acquisition to visualize flow within the arterial vessel. It is based on the phenomenon of flow-related enhancement of spins entering into an imaging slice. As a result of being unsaturated, these spins give more signal that surrounding stationary spins. MIP_s3DI_MC_HR: angiographic 3D visualization of TOF images using the maximum intensity projection (MIP) technique of reconstruction. raw_data_DTI_32: Diffusion Tensor Imaging raw data. This is a diffusion-weighted Spin Echo EPI single-shot pulse sequence acquired on the axial planealong 32 gradient directions at a b-value of 1000 s/mm<sup>2</sup> and one volume without diffusion-weighting (b0 image). raw_data_NODDI: multi-compartmental dMRI sequence for advanced tractography and NODDI analyses, including an axial high angular resolution diffusion-weighted imaging (HARDI) acquisition along 60 gradient directions at a b-value of 3000 s/mm<sup>2</sup>,a DTI acquisition along 35 directions at a b-value of 711 s/mm<sup>2</sup> and 11 volumes without diffusion-weighting (b0 images). The phase-encoding direction was anterior-to-posterior for all these acquisitions. B0_reverse: a sequence without diffusion-weighting having the same geometrical parameters of the ‘raw_data_NODDI’ images, but acquired using a reversed phase-encoding direction (posterior-to-anterior). This volume allowed estimation and correction for susceptibility-induced distortions. ‘DTI’ Folder’: This folder contains the DTI-derived parametric maps calculated off-linefrom the ‘raw_data_DTI_32’ acquisition (32 gradient directions, b-value = 1000 s/mm<sup>2</sup>) and saved in the NIfTI-1 Data Format. ‘HARDI’ Folder: This folder contains the parametric maps calculated off-linefrom the HARDI acquisition (60 gradient directions, b-value = 3000 s/mm<sup>2</sup>) of the ‘raw_data_NODDI’ sequence. Maps are saved in the NIfTI-1 Data Format. ‘Tractography’ Folder: This folder contains the probabilistic tractography reconstructions of the main white matter fiber tracts, calculated from the HARDI acquisition (60 gradient directions, b-value = 3000 s/mm<sup>2</sup>) of the ‘raw_data_NODDI’ sequence. Dipy has been used for q-ball residual-bootstrap fiber tracking. The folder contains a minimum number of two pair of tracts for each subjects. ‘NODDI’ Folder: This folder contains the Neurite orientation dispersion and density imaging (NODDI) parametric maps calculated off-line from the ‘raw_data_NODDI’ acquisition (60 gradient directions at b=3000 s/mm<sup>2</sup>, 35 gradient directions at b=711 s/mm<sup>2 </sup>and 11 b0 volumes) and saved in the NIfTI-1 Data Format. Maps have been generated using the NODDI Matlab Toolbox (https://www.nitrc.org/projects/noddi_toolbox). Note that all MRI data files were converted from DICOM series using Chris Rorden's dcm2niiX version v1.0.20200331.