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Impact of physiological factors on longitudinal structural MRI measures of the brain

Longitudinal MRI is used in clinical research studies to examine illness progression, neurodevelopment, and the effect of medical interventions. Such studies typically report changes in brain volume of less than 5%. However, there is a concern that these findings could be obscured or confounded by s...

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Autores principales: Zahid, Uzma, Hedges, Emily P, Dimitrov, Mihail, Murray, Robin M, Barker, Gareth J, Kempton, Matthew J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier/North-Holland Biomedical Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924876/
https://www.ncbi.nlm.nih.gov/pubmed/35131573
http://dx.doi.org/10.1016/j.pscychresns.2022.111446
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author Zahid, Uzma
Hedges, Emily P
Dimitrov, Mihail
Murray, Robin M
Barker, Gareth J
Kempton, Matthew J
author_facet Zahid, Uzma
Hedges, Emily P
Dimitrov, Mihail
Murray, Robin M
Barker, Gareth J
Kempton, Matthew J
author_sort Zahid, Uzma
collection PubMed
description Longitudinal MRI is used in clinical research studies to examine illness progression, neurodevelopment, and the effect of medical interventions. Such studies typically report changes in brain volume of less than 5%. However, there is a concern that these findings could be obscured or confounded by small changes in brain volume estimates caused by physiological factors such as, dehydration, blood pressure, caffeine levels, and circadian rhythm. In this study, MRI scans using the ADNI-III protocol were acquired from 20 participants (11 female) at two time points (mean interval = 20.3 days). Hydration, systolic and diastolic blood pressure, caffeine intake, and time of day were recorded at both visits. Images were processed using FreeSurfer. Three a priori hypothesised brain regions (hippocampus, lateral ventricles, and total brain) were selected, and an exploratory analysis was conducted on FreeSurfer's auto-segmented brain regions. There was no significant effect of the physiological factors on changes in the hypothesised brain regions. We provide estimates for the maximum percentage change in regional brain volumes that could be expected to occur from normal variation in each of the physiological measures. In this study, normal variations in physiological parameters did not have a detectable effect on longitudinal changes in brain volume.
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spelling pubmed-89248762022-04-01 Impact of physiological factors on longitudinal structural MRI measures of the brain Zahid, Uzma Hedges, Emily P Dimitrov, Mihail Murray, Robin M Barker, Gareth J Kempton, Matthew J Psychiatry Res Article Longitudinal MRI is used in clinical research studies to examine illness progression, neurodevelopment, and the effect of medical interventions. Such studies typically report changes in brain volume of less than 5%. However, there is a concern that these findings could be obscured or confounded by small changes in brain volume estimates caused by physiological factors such as, dehydration, blood pressure, caffeine levels, and circadian rhythm. In this study, MRI scans using the ADNI-III protocol were acquired from 20 participants (11 female) at two time points (mean interval = 20.3 days). Hydration, systolic and diastolic blood pressure, caffeine intake, and time of day were recorded at both visits. Images were processed using FreeSurfer. Three a priori hypothesised brain regions (hippocampus, lateral ventricles, and total brain) were selected, and an exploratory analysis was conducted on FreeSurfer's auto-segmented brain regions. There was no significant effect of the physiological factors on changes in the hypothesised brain regions. We provide estimates for the maximum percentage change in regional brain volumes that could be expected to occur from normal variation in each of the physiological measures. In this study, normal variations in physiological parameters did not have a detectable effect on longitudinal changes in brain volume. Elsevier/North-Holland Biomedical Press 2022-04 /pmc/articles/PMC8924876/ /pubmed/35131573 http://dx.doi.org/10.1016/j.pscychresns.2022.111446 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zahid, Uzma
Hedges, Emily P
Dimitrov, Mihail
Murray, Robin M
Barker, Gareth J
Kempton, Matthew J
Impact of physiological factors on longitudinal structural MRI measures of the brain
title Impact of physiological factors on longitudinal structural MRI measures of the brain
title_full Impact of physiological factors on longitudinal structural MRI measures of the brain
title_fullStr Impact of physiological factors on longitudinal structural MRI measures of the brain
title_full_unstemmed Impact of physiological factors on longitudinal structural MRI measures of the brain
title_short Impact of physiological factors on longitudinal structural MRI measures of the brain
title_sort impact of physiological factors on longitudinal structural mri measures of the brain
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924876/
https://www.ncbi.nlm.nih.gov/pubmed/35131573
http://dx.doi.org/10.1016/j.pscychresns.2022.111446
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