Published November 15, 2022 | Version 1.0.0
Dataset Open

Preprocessed rat brain voxel time series

  • 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

Files (280.5 MB)

Name Size Download all
md5:de6f0f92fe5252956230e6d85ee50a6b
97.5 MB Preview Download
md5:4b7c91f6cc604d7d9be39ce4004cd5d3
85.8 MB Preview Download
md5:b72369267da2a8938d409efb96805ad7
97.2 MB Preview Download

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