Dataset Single-subject EEG measurement of interhemispheric transfer-time for the in-vivo estimation of axonal morphology

This dataset is a subset of the data presented in the article Single‐subject electroencephalography measurement of interhemispheric transfer time for the in‐vivo estimation of axonal morphology Rita Oliveira, Marzia De Lucia, Antoine Lutti

https://onlinelibrary.wiley.com/doi/full/10.1002/hbm.26420

For a complete description of our approach for axonal morphology estimation in-vivo, see: Oliveira, R., Pelentritou, A., Di Domenicantonio, G., De Lucia, M., and Lutti, A. (2022). In vivo Estimation of Axonal Morphology From Magnetic Resonance Imaging and Electroencephalography Data. Front. Neurosci. 16, 1–18. doi: 10.3389/fnins.2022.874023.

This dataset contains the following Matlab files:

• CD_CondNameVisualField_LeftBrainOccipital.mat - Current source densities (pA.m) of each brain vertice, EEG trial, and time point for the left brain occipital cortex [#trials x #vertices x #timepoints]
• CD_CondNameVisualField_RightBrainOccipital.mat - Current source densities (pA.m) of each brain vertice, EEG trial, and time point for the right brain occipital cortex [#trials x #vertices x #timepoints]
• Stats_Source_CondNameVF_Occipital_LeftBrainOccipital.mat - Result of the cluster permutation for the left brain cortex for the CondNameVF, CondName being Left or Right visual stimulation (Fieldtrip stat structure)
• Stats_Source_CondNameVF_Occipital_RightBrainOccipital.mat - Result of the cluster permutation for the right brain cortex for the CondNameVF, CondName being Left or - Right visual stimulation (Fieldtrip stat structure)
• time_vec.mat - Time vector associated with the timecourses [1 x #timepoints]
• Occipital_vertices.mat - Structure containing the vertices of the brain mesh of the region of interest. Occipital_vertices.Vertices [1 x #vertices]
• G_ratio_samples.mat - MRI g-ratio sampled along the occipital transcallosal tract [#samples x 1]
• Tract_length.mat - Length of the occipital transcallosal tract (double)

The analysis scripts that allow the users to replicate the results of the original publication can be found here: https://github.com/DNC-EEG-platform/SingleSubjectIHTTEstimation

Funding: Swiss National Science Foundation (grant no 320030 184784 and 32003B 212981), ROGER DE SPOELBERCH Foundation and Bertarelli Catalyst Foundation.

Author: Rita Oliveira
PIs: Marzia De Lucia, Antoine Lutti

Laboratory for Neuroimaging Research

Lausanne University Hospital & University of Lausanne, Lausanne, Switzerland

Copyright (C) 2022 Laboratory for Neuroimaging Research