Preprocessed rat brain voxel time series
Authors/Creators
- 1. Univ. Grenoble Alpes, CNRS, Gipsa-lab, F-38000, Grenoble, France
- 2. Univ. Grenoble Alpes, Inserm, U1216, Grenoble Institut Neurosciences, GIN, F-38000 Grenoble, France; Univ. Grenoble Alpes, Inserm, UMS017, CNRS, US3552, CHU Grenoble Alpes, IRMaGe, F-38000 Grenoble, France
- 3. Univ. Grenoble Alpes, CNRS, Inria, Grenoble INP, LJK, 38000 Grenoble, France
Description
Preprocessed version of voxel time-series for three rats, originally described in Becq et al., Functional connectivity is preserved but reorganized across several anesthetic regimes, NeuroImage, 2020. Used in Achard et al., Inter-regional correlation estimators for functional magnetic resonance imaging, arXiv, 2022, arXiv:2011.08269.
The files named "coord_ROI_x.txt" contain the coordinates of the voxels inside region x (each line corresponds to one voxel).
The files named "ts_ROI_x.txt" contain the BOLD signal time series of the voxels inside region x (each line corresponds to one voxel, each column to one timepoint). The voxels with time series equal to zero have been removed
The files named "weight_ROI_x.txt" contain the weights associated with the voxels inside region x (each line corresponds to one voxel). Indeed, when assigning voxels to regions, some voxels end up at the border of several regions. These weights characterize the proportion of a given voxel present inside a given region. Hence, some voxels are included in several different regions. So when we compute the voxel-to-voxel inter-correlation between two regions we sometimes end up with inter-correlations equal to 1. In the current dataset this issue has been resolved and each voxel has been assigned to a single region.
Files
Dead_20160524_153000.zip
Additional details
Related works
- Is published in
- Preprint: 10.48550/arXiv.2011.08269 (DOI)
- Is supplement to
- Journal article: 10.1016/j.neuroimage.2020.116945 (DOI)
Funding
- Agence Nationale de la Recherche
- Q-FunC - US-French Research Proposal: Advanced Spatiotemporal Statistical Models for Quantification and Estimation of Functional Connectivity: Q-FunC ANR-20-NEUC-0003
- Agence Nationale de la Recherche
- UGA - IDEX UGA 15-IDEX-0002
- Agence Nationale de la Recherche
- FLI - France Life Imaging ANR-11-INBS-0006