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Repetitive T1 Imaging Influences Gray Matter Volume Estimations in Structural Brain Imaging

Voxel-based morphometry (VBM) is a widely used tool for studying structural patterns of brain plasticity, brain development and disease. The source of the T(1)-signal changes is not understood. Most of these changes are discussed to represent loss or possibly gain of brain gray matter and recent pub...

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Autores principales: Broessner, Gregor, Ellerbrock, Isabel, Menz, Mareike M., Frank, Florian, Verius, Michael, Gaser, Christian, May, Arne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8581175/
https://www.ncbi.nlm.nih.gov/pubmed/34777226
http://dx.doi.org/10.3389/fneur.2021.755749
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author Broessner, Gregor
Ellerbrock, Isabel
Menz, Mareike M.
Frank, Florian
Verius, Michael
Gaser, Christian
May, Arne
author_facet Broessner, Gregor
Ellerbrock, Isabel
Menz, Mareike M.
Frank, Florian
Verius, Michael
Gaser, Christian
May, Arne
author_sort Broessner, Gregor
collection PubMed
description Voxel-based morphometry (VBM) is a widely used tool for studying structural patterns of brain plasticity, brain development and disease. The source of the T(1)-signal changes is not understood. Most of these changes are discussed to represent loss or possibly gain of brain gray matter and recent publications speculate also about non-structural changes affecting T(1)-signal. We investigated the potential of pain stimulation to ultra-short-term alter gray matter signal changes in pain relevant brain regions in healthy volunteers using a longitudinal design. Immediately following regional nociceptive input, we detected significant gray matter volume (GMV) changes in central pain processing areas, i.e. anterior cingulate and insula cortex. However, similar results were observed in a control group using the identical time intervals but without nociceptive painful input. These GMV changes could be reproduced in almost 100 scanning sessions enrolling 72 healthy individuals comprising repetitive magnetization-prepared rapid gradient-echo (MPRAGE) sequences. These data suggest that short-term longitudinal repetitive MPRAGE may produce significant GMV changes without any intervention. Future studies investigating brain plasticity should focus and specifically report a consistent timing at which time-point during the experiment the T(1)-weighted scan is conducted. There is a necessity of a control group for longitudinal imaging studies.
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spelling pubmed-85811752021-11-12 Repetitive T1 Imaging Influences Gray Matter Volume Estimations in Structural Brain Imaging Broessner, Gregor Ellerbrock, Isabel Menz, Mareike M. Frank, Florian Verius, Michael Gaser, Christian May, Arne Front Neurol Neurology Voxel-based morphometry (VBM) is a widely used tool for studying structural patterns of brain plasticity, brain development and disease. The source of the T(1)-signal changes is not understood. Most of these changes are discussed to represent loss or possibly gain of brain gray matter and recent publications speculate also about non-structural changes affecting T(1)-signal. We investigated the potential of pain stimulation to ultra-short-term alter gray matter signal changes in pain relevant brain regions in healthy volunteers using a longitudinal design. Immediately following regional nociceptive input, we detected significant gray matter volume (GMV) changes in central pain processing areas, i.e. anterior cingulate and insula cortex. However, similar results were observed in a control group using the identical time intervals but without nociceptive painful input. These GMV changes could be reproduced in almost 100 scanning sessions enrolling 72 healthy individuals comprising repetitive magnetization-prepared rapid gradient-echo (MPRAGE) sequences. These data suggest that short-term longitudinal repetitive MPRAGE may produce significant GMV changes without any intervention. Future studies investigating brain plasticity should focus and specifically report a consistent timing at which time-point during the experiment the T(1)-weighted scan is conducted. There is a necessity of a control group for longitudinal imaging studies. Frontiers Media S.A. 2021-10-28 /pmc/articles/PMC8581175/ /pubmed/34777226 http://dx.doi.org/10.3389/fneur.2021.755749 Text en Copyright © 2021 Broessner, Ellerbrock, Menz, Frank, Verius, Gaser and May. https://creativecommons.org/licenses/by/4.0/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) and the copyright owner(s) 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 Neurology
Broessner, Gregor
Ellerbrock, Isabel
Menz, Mareike M.
Frank, Florian
Verius, Michael
Gaser, Christian
May, Arne
Repetitive T1 Imaging Influences Gray Matter Volume Estimations in Structural Brain Imaging
title Repetitive T1 Imaging Influences Gray Matter Volume Estimations in Structural Brain Imaging
title_full Repetitive T1 Imaging Influences Gray Matter Volume Estimations in Structural Brain Imaging
title_fullStr Repetitive T1 Imaging Influences Gray Matter Volume Estimations in Structural Brain Imaging
title_full_unstemmed Repetitive T1 Imaging Influences Gray Matter Volume Estimations in Structural Brain Imaging
title_short Repetitive T1 Imaging Influences Gray Matter Volume Estimations in Structural Brain Imaging
title_sort repetitive t1 imaging influences gray matter volume estimations in structural brain imaging
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8581175/
https://www.ncbi.nlm.nih.gov/pubmed/34777226
http://dx.doi.org/10.3389/fneur.2021.755749
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