Dataset In-vivo estimation of axonal morphology from MRI and EEG data
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下载链接：
https://zenodo.org/record/6027334
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资源简介：
This dataset includes the data underlying the conclusions made in the scientific article:
"In-vivo estimation of axonal morphology from MRI and EEG data"
Rita Oliveira, Andria Pelentritou, Giulia Di Domenicantonio, Marzia De Lucia, Antoine Lutti
https://www.frontiersin.org/articles/10.3389/fnins.2022.874023
The main objective is to use data collected in-vivo in humans to estimate microscopic morphologic features of the white matter tracts.
The in-vivo data estimated along a white matter tract of interest includes:
• the MRI g-ratio sampled along the visual transcallosal white matter tract
• a measure of conduction velocity estimated from an EEG measure of interhemispheric transfer time (IHTT)
The microscopic morphologic features of white matter we estimate are:
• the axonal radius distribution, P(r)
• the g-ratio dependence on the radius, g(r)
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CONTENT:
This package includes data for all the 14 subjects used in the corresponding scientific article:
• G-ratio values sampled along the transcallosal visual tract
double vector (# MRI_gratio samples x 1): G_ratio_samples.mat
• Length of the transcallosal visual tract
double: Tract_length.mat
• Current source densities (pA.m) of each trial, brain vertice and time
point for the left brain visual cortex
double 3 matrix (#trials x #vertices x #timepoints): Source_reconstruction_left_brain_V1V2.mat
• Current source densities (pA.m) of each trial, brain vertice and time
point for the right brain visual cortex
double 3 matrix (#trials x #vertices x #timepoints): Source_reconstruction_right_brain_V1V2.mat
• Vector of the time sample of the EEG epochs
double vector (1 x #time points): time_vec.mat
The codes used in the analysis of this data are available on our online repository: https://github.com/LREN-physics/AxonalMorphology.
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AUTHORS:
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
创建时间：
2023-09-12
