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Motion‐related artifacts in structural brain images revealed with independent estimates of in‐scanner head motion

Motion‐contaminated T1‐weighted (T1w) magnetic resonance imaging (MRI) results in misestimates of brain structure. Because conventional T1w scans are not collected with direct measures of head motion, a practical alternative is needed to identify potential motion‐induced bias in measures of brain an...

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Autores principales: Savalia, Neil K., Agres, Phillip F., Chan, Micaela Y., Feczko, Eric J., Kennedy, Kristen M., Wig, Gagan S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5217095/
https://www.ncbi.nlm.nih.gov/pubmed/27634551
http://dx.doi.org/10.1002/hbm.23397
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author Savalia, Neil K.
Agres, Phillip F.
Chan, Micaela Y.
Feczko, Eric J.
Kennedy, Kristen M.
Wig, Gagan S.
author_facet Savalia, Neil K.
Agres, Phillip F.
Chan, Micaela Y.
Feczko, Eric J.
Kennedy, Kristen M.
Wig, Gagan S.
author_sort Savalia, Neil K.
collection PubMed
description Motion‐contaminated T1‐weighted (T1w) magnetic resonance imaging (MRI) results in misestimates of brain structure. Because conventional T1w scans are not collected with direct measures of head motion, a practical alternative is needed to identify potential motion‐induced bias in measures of brain anatomy. Head movements during functional MRI (fMRI) scanning of 266 healthy adults (20–89 years) were analyzed to reveal stable features of in‐scanner head motion. The magnitude of head motion increased with age and exhibited within‐participant stability across different fMRI scans. fMRI head motion was then related to measurements of both quality control (QC) and brain anatomy derived from a T1w structural image from the same scan session. A procedure was adopted to “flag” individuals exhibiting excessive head movement during fMRI or poor T1w quality rating. The flagging procedure reliably reduced the influence of head motion on estimates of gray matter thickness across the cortical surface. Moreover, T1w images from flagged participants exhibited reduced estimates of gray matter thickness and volume in comparison to age‐ and gender‐matched samples, resulting in inflated effect sizes in the relationships between regional anatomical measures and age. Gray matter thickness differences were noted in numerous regions previously reported to undergo prominent atrophy with age. Recommendations are provided for mitigating this potential confound, and highlight how the procedure may lead to more accurate measurement and comparison of anatomical features. Hum Brain Mapp 38:472–492, 2017. © 2016 Wiley Periodicals, Inc.
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spelling pubmed-52170952017-01-18 Motion‐related artifacts in structural brain images revealed with independent estimates of in‐scanner head motion Savalia, Neil K. Agres, Phillip F. Chan, Micaela Y. Feczko, Eric J. Kennedy, Kristen M. Wig, Gagan S. Hum Brain Mapp Research Articles Motion‐contaminated T1‐weighted (T1w) magnetic resonance imaging (MRI) results in misestimates of brain structure. Because conventional T1w scans are not collected with direct measures of head motion, a practical alternative is needed to identify potential motion‐induced bias in measures of brain anatomy. Head movements during functional MRI (fMRI) scanning of 266 healthy adults (20–89 years) were analyzed to reveal stable features of in‐scanner head motion. The magnitude of head motion increased with age and exhibited within‐participant stability across different fMRI scans. fMRI head motion was then related to measurements of both quality control (QC) and brain anatomy derived from a T1w structural image from the same scan session. A procedure was adopted to “flag” individuals exhibiting excessive head movement during fMRI or poor T1w quality rating. The flagging procedure reliably reduced the influence of head motion on estimates of gray matter thickness across the cortical surface. Moreover, T1w images from flagged participants exhibited reduced estimates of gray matter thickness and volume in comparison to age‐ and gender‐matched samples, resulting in inflated effect sizes in the relationships between regional anatomical measures and age. Gray matter thickness differences were noted in numerous regions previously reported to undergo prominent atrophy with age. Recommendations are provided for mitigating this potential confound, and highlight how the procedure may lead to more accurate measurement and comparison of anatomical features. Hum Brain Mapp 38:472–492, 2017. © 2016 Wiley Periodicals, Inc. John Wiley and Sons Inc. 2016-09-16 /pmc/articles/PMC5217095/ /pubmed/27634551 http://dx.doi.org/10.1002/hbm.23397 Text en © 2016 The Authors Human Brain Mapping Published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Savalia, Neil K.
Agres, Phillip F.
Chan, Micaela Y.
Feczko, Eric J.
Kennedy, Kristen M.
Wig, Gagan S.
Motion‐related artifacts in structural brain images revealed with independent estimates of in‐scanner head motion
title Motion‐related artifacts in structural brain images revealed with independent estimates of in‐scanner head motion
title_full Motion‐related artifacts in structural brain images revealed with independent estimates of in‐scanner head motion
title_fullStr Motion‐related artifacts in structural brain images revealed with independent estimates of in‐scanner head motion
title_full_unstemmed Motion‐related artifacts in structural brain images revealed with independent estimates of in‐scanner head motion
title_short Motion‐related artifacts in structural brain images revealed with independent estimates of in‐scanner head motion
title_sort motion‐related artifacts in structural brain images revealed with independent estimates of in‐scanner head motion
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5217095/
https://www.ncbi.nlm.nih.gov/pubmed/27634551
http://dx.doi.org/10.1002/hbm.23397
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