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Functional diffusion tensor imaging at 3 Tesla

In a previous study we reported on a non-invasive functional diffusion tensor imaging (fDTI) method to measure neuronal signals directly from subtle changes in fractional anisotropy along white matter tracts. We hypothesized that these fractional anisotropy changes relate to morphological changes of...

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Autores principales: Mandl, René C. W., Schnack, Hugo G., Zwiers, Marcel P., Kahn, René S., Hulshoff Pol, Hilleke E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3847896/
https://www.ncbi.nlm.nih.gov/pubmed/24409133
http://dx.doi.org/10.3389/fnhum.2013.00817
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author Mandl, René C. W.
Schnack, Hugo G.
Zwiers, Marcel P.
Kahn, René S.
Hulshoff Pol, Hilleke E.
author_facet Mandl, René C. W.
Schnack, Hugo G.
Zwiers, Marcel P.
Kahn, René S.
Hulshoff Pol, Hilleke E.
author_sort Mandl, René C. W.
collection PubMed
description In a previous study we reported on a non-invasive functional diffusion tensor imaging (fDTI) method to measure neuronal signals directly from subtle changes in fractional anisotropy along white matter tracts. We hypothesized that these fractional anisotropy changes relate to morphological changes of glial cells induced by axonal activity. In the present study we set out to replicate the results of the previous study with an improved fDTI scan acquisition scheme. A group of twelve healthy human participants were scanned on a 3 Tesla MRI scanner. Activation was revealed in the contralateral thalamo-cortical tract and optic radiations during tactile and visual stimulation, respectively. Mean percent signal change in FA was 3.47% for the tactile task and 3.79% for the visual task, while for the MD the mean percent signal change was only -0.10 and -0.09%. The results support the notion of different response functions for tactile and visual stimuli. With this study we successfully replicated our previous findings using the same types of stimuli but on a different group of healthy participants and at different field-strength. The successful replication of our first fDTI results suggests that the non-invasive fDTI method is robust enough to study the functional neural networks in the human brain within a practically feasible time period.
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spelling pubmed-38478962014-01-09 Functional diffusion tensor imaging at 3 Tesla Mandl, René C. W. Schnack, Hugo G. Zwiers, Marcel P. Kahn, René S. Hulshoff Pol, Hilleke E. Front Hum Neurosci Neuroscience In a previous study we reported on a non-invasive functional diffusion tensor imaging (fDTI) method to measure neuronal signals directly from subtle changes in fractional anisotropy along white matter tracts. We hypothesized that these fractional anisotropy changes relate to morphological changes of glial cells induced by axonal activity. In the present study we set out to replicate the results of the previous study with an improved fDTI scan acquisition scheme. A group of twelve healthy human participants were scanned on a 3 Tesla MRI scanner. Activation was revealed in the contralateral thalamo-cortical tract and optic radiations during tactile and visual stimulation, respectively. Mean percent signal change in FA was 3.47% for the tactile task and 3.79% for the visual task, while for the MD the mean percent signal change was only -0.10 and -0.09%. The results support the notion of different response functions for tactile and visual stimuli. With this study we successfully replicated our previous findings using the same types of stimuli but on a different group of healthy participants and at different field-strength. The successful replication of our first fDTI results suggests that the non-invasive fDTI method is robust enough to study the functional neural networks in the human brain within a practically feasible time period. Frontiers Media S.A. 2013-12-03 /pmc/articles/PMC3847896/ /pubmed/24409133 http://dx.doi.org/10.3389/fnhum.2013.00817 Text en Copyright © 2013 Mandl, Schnack, Zwiers, Kahn and Hulshoff Pol. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Mandl, René C. W.
Schnack, Hugo G.
Zwiers, Marcel P.
Kahn, René S.
Hulshoff Pol, Hilleke E.
Functional diffusion tensor imaging at 3 Tesla
title Functional diffusion tensor imaging at 3 Tesla
title_full Functional diffusion tensor imaging at 3 Tesla
title_fullStr Functional diffusion tensor imaging at 3 Tesla
title_full_unstemmed Functional diffusion tensor imaging at 3 Tesla
title_short Functional diffusion tensor imaging at 3 Tesla
title_sort functional diffusion tensor imaging at 3 tesla
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3847896/
https://www.ncbi.nlm.nih.gov/pubmed/24409133
http://dx.doi.org/10.3389/fnhum.2013.00817
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