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Single‐subject electroencephalography measurement of interhemispheric transfer time for the in‐vivo estimation of axonal morphology

Assessing axonal morphology in vivo opens new avenues for the combined study of brain structure and function. A novel approach has recently been introduced to estimate the morphology of axonal fibers from the combination of magnetic resonance imaging (MRI) data and electroencephalography (EEG) measu...

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Autores principales: Oliveira, Rita, De Lucia, Marzia, Lutti, Antoine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10472916/
https://www.ncbi.nlm.nih.gov/pubmed/37470446
http://dx.doi.org/10.1002/hbm.26420
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author Oliveira, Rita
De Lucia, Marzia
Lutti, Antoine
author_facet Oliveira, Rita
De Lucia, Marzia
Lutti, Antoine
author_sort Oliveira, Rita
collection PubMed
description Assessing axonal morphology in vivo opens new avenues for the combined study of brain structure and function. A novel approach has recently been introduced to estimate the morphology of axonal fibers from the combination of magnetic resonance imaging (MRI) data and electroencephalography (EEG) measures of the interhemispheric transfer time (IHTT). In the original study, the IHTT measures were computed from EEG data averaged across a group, leading to bias of the axonal morphology estimates. Here, we seek to estimate axonal morphology from individual measures of IHTT, obtained from EEG data acquired in a visual evoked potential experiment. Subject‐specific IHTTs are computed in a data‐driven framework with minimal a priori constraints, based on the maximal peak of neural responses to visual stimuli within periods of statistically significant evoked activity in the inverse solution space. The subject‐specific IHTT estimates ranged from 8 to 29 ms except for one participant and the between‐session variability was comparable to between‐subject variability. The mean radius of the axonal radius distribution, computed from the IHTT estimates and the MRI data, ranged from 0 to 1.09 μm across subjects. The change in axonal g‐ratio with axonal radius ranged from 0.62 to 0.81 μm(−α ). The single‐subject measurement of the IHTT yields estimates of axonal morphology that are consistent with histological values. However, improvement of the repeatability of the IHTT estimates is required to improve the specificity of the single‐subject axonal morphology estimates.
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spelling pubmed-104729162023-09-02 Single‐subject electroencephalography measurement of interhemispheric transfer time for the in‐vivo estimation of axonal morphology Oliveira, Rita De Lucia, Marzia Lutti, Antoine Hum Brain Mapp Research Articles Assessing axonal morphology in vivo opens new avenues for the combined study of brain structure and function. A novel approach has recently been introduced to estimate the morphology of axonal fibers from the combination of magnetic resonance imaging (MRI) data and electroencephalography (EEG) measures of the interhemispheric transfer time (IHTT). In the original study, the IHTT measures were computed from EEG data averaged across a group, leading to bias of the axonal morphology estimates. Here, we seek to estimate axonal morphology from individual measures of IHTT, obtained from EEG data acquired in a visual evoked potential experiment. Subject‐specific IHTTs are computed in a data‐driven framework with minimal a priori constraints, based on the maximal peak of neural responses to visual stimuli within periods of statistically significant evoked activity in the inverse solution space. The subject‐specific IHTT estimates ranged from 8 to 29 ms except for one participant and the between‐session variability was comparable to between‐subject variability. The mean radius of the axonal radius distribution, computed from the IHTT estimates and the MRI data, ranged from 0 to 1.09 μm across subjects. The change in axonal g‐ratio with axonal radius ranged from 0.62 to 0.81 μm(−α ). The single‐subject measurement of the IHTT yields estimates of axonal morphology that are consistent with histological values. However, improvement of the repeatability of the IHTT estimates is required to improve the specificity of the single‐subject axonal morphology estimates. John Wiley & Sons, Inc. 2023-07-20 /pmc/articles/PMC10472916/ /pubmed/37470446 http://dx.doi.org/10.1002/hbm.26420 Text en © 2023 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Research Articles
Oliveira, Rita
De Lucia, Marzia
Lutti, Antoine
Single‐subject electroencephalography measurement of interhemispheric transfer time for the in‐vivo estimation of axonal morphology
title Single‐subject electroencephalography measurement of interhemispheric transfer time for the in‐vivo estimation of axonal morphology
title_full Single‐subject electroencephalography measurement of interhemispheric transfer time for the in‐vivo estimation of axonal morphology
title_fullStr Single‐subject electroencephalography measurement of interhemispheric transfer time for the in‐vivo estimation of axonal morphology
title_full_unstemmed Single‐subject electroencephalography measurement of interhemispheric transfer time for the in‐vivo estimation of axonal morphology
title_short Single‐subject electroencephalography measurement of interhemispheric transfer time for the in‐vivo estimation of axonal morphology
title_sort single‐subject electroencephalography measurement of interhemispheric transfer time for the in‐vivo estimation of axonal morphology
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10472916/
https://www.ncbi.nlm.nih.gov/pubmed/37470446
http://dx.doi.org/10.1002/hbm.26420
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