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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2023
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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. |
format | Online Article Text |
id | pubmed-10472916 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
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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