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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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Dataset Single-subject EEG measurement of interhemispheric transfer-time for the in-vivo estimation of axonal morphology

Authors: Rita Oliveira; Mariza De Lucia; Antoine Lutti;

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

Abstract

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

Keywords

MRI, EEG, tractography, conduction velocity, myelination, g-ratio

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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