Published December 18, 2021 | Version 2.1

Sample Multi-Modal BIDS dataset (v2.1)

  • 1. Department of Radiology, Lausanne University Hospital (CHUV), Switzerland

Description

This a sample BIDS dataset created for continous integration of the Connectome Mapper 3.

This dataset was acquired at the Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland, using a 3T Siemens Prisma MRI scanner.

It adopts the sub-/ses- structure and contains one T1w anatomical MRI (MPRAGE), one diffusion MRI (DSI) , and one resting-state functional MRI as well as additional Freesurfer derivatives.

It is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. (See https://creativecommons.org/licenses/by/4.0/ for more details)

Changes

Version 2.1

  • Fix issues with the resampling of the DWI and rfMRI scans with Slicer. They were regenerated in version 2.1 with `mri_convert` to better handle the 4th dimension.
  • For the sake of the size of the dataset, only 100 frames in the fMRI recording has been kept and the sourcedata/ folder has been dropped but can be easily be retrieved in the previous 2.0 version (https://zenodo.org/record/5788803#.Yb2-giYo8bV).

Version 2.0

  • For testing purposes, scans found in the root sub-01 directory have been downsampled to 2x2x2 mm3 (MPRAGE), and to 3x3x3 mm3 (DSI and rfMRI) with the ResampleScalarVolume module of Slicer 4.6.2. A copy of the output produced in the terminal by Slicer has been created in the `code/` directory.
  • Original data have been placed in sourcedata/ in concordance to BIDS.

 

 

 

 

Notes

Work supported by SNF Sinergia Grant #170873. (http://p3.snf.ch/Project-170873)

Files

Files (382.5 MB)

Name Size
md5:5b888b1702e070281d8883e34f4faad9
182.1 MB Download
md5:92fae82be027845d5da61f4329877cf6
200.5 MB Download

Additional details

Funding

Swiss National Science Foundation
Exploring brain communication pathways by combining diffusion based quantitative structural connectivity and EEG source imaging : application to physiological and epileptic networks CRSII5_170873