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Individual Differences in Impulsivity Predict Head Motion during Magnetic Resonance Imaging
Magnetic resonance imaging (MRI) provides valuable data for understanding the human mind and brain disorders, but in-scanner head motion introduces systematic and spurious biases. For example, differences in MRI measures (e.g., network strength, white matter integrity) between patient and control gr...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4141798/ https://www.ncbi.nlm.nih.gov/pubmed/25148416 http://dx.doi.org/10.1371/journal.pone.0104989 |
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author | Kong, Xiang-zhen Zhen, Zonglei Li, Xueting Lu, Huan-hua Wang, Ruosi Liu, Ling He, Yong Zang, Yufeng Liu, Jia |
author_facet | Kong, Xiang-zhen Zhen, Zonglei Li, Xueting Lu, Huan-hua Wang, Ruosi Liu, Ling He, Yong Zang, Yufeng Liu, Jia |
author_sort | Kong, Xiang-zhen |
collection | PubMed |
description | Magnetic resonance imaging (MRI) provides valuable data for understanding the human mind and brain disorders, but in-scanner head motion introduces systematic and spurious biases. For example, differences in MRI measures (e.g., network strength, white matter integrity) between patient and control groups may be due to the differences in their head motion. To determine whether head motion is an important variable in itself, or just simply a confounding variable, we explored individual differences in psychological traits that may predispose some people to move more than others during an MRI scan. In the first two studies, we demonstrated in both children (N = 245) and adults (N = 581) that head motion, estimated from resting-state functional MRI and diffusion tensor imaging, was reliably correlated with impulsivity scores. Further, the difference in head motion between children with attention deficit hyperactivity disorder (ADHD) and typically developing children was largely due to differences in impulsivity. Finally, in the third study, we confirmed the observation that the regression approach, which aims to deal with motion issues by regressing out motion in the group analysis, would underestimate the effect of interest. Taken together, the present findings provide empirical evidence that links in-scanner head motion to psychological traits. |
format | Online Article Text |
id | pubmed-4141798 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-41417982014-08-25 Individual Differences in Impulsivity Predict Head Motion during Magnetic Resonance Imaging Kong, Xiang-zhen Zhen, Zonglei Li, Xueting Lu, Huan-hua Wang, Ruosi Liu, Ling He, Yong Zang, Yufeng Liu, Jia PLoS One Research Article Magnetic resonance imaging (MRI) provides valuable data for understanding the human mind and brain disorders, but in-scanner head motion introduces systematic and spurious biases. For example, differences in MRI measures (e.g., network strength, white matter integrity) between patient and control groups may be due to the differences in their head motion. To determine whether head motion is an important variable in itself, or just simply a confounding variable, we explored individual differences in psychological traits that may predispose some people to move more than others during an MRI scan. In the first two studies, we demonstrated in both children (N = 245) and adults (N = 581) that head motion, estimated from resting-state functional MRI and diffusion tensor imaging, was reliably correlated with impulsivity scores. Further, the difference in head motion between children with attention deficit hyperactivity disorder (ADHD) and typically developing children was largely due to differences in impulsivity. Finally, in the third study, we confirmed the observation that the regression approach, which aims to deal with motion issues by regressing out motion in the group analysis, would underestimate the effect of interest. Taken together, the present findings provide empirical evidence that links in-scanner head motion to psychological traits. Public Library of Science 2014-08-22 /pmc/articles/PMC4141798/ /pubmed/25148416 http://dx.doi.org/10.1371/journal.pone.0104989 Text en © 2014 Kong et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Kong, Xiang-zhen Zhen, Zonglei Li, Xueting Lu, Huan-hua Wang, Ruosi Liu, Ling He, Yong Zang, Yufeng Liu, Jia Individual Differences in Impulsivity Predict Head Motion during Magnetic Resonance Imaging |
title | Individual Differences in Impulsivity Predict Head Motion during Magnetic Resonance Imaging |
title_full | Individual Differences in Impulsivity Predict Head Motion during Magnetic Resonance Imaging |
title_fullStr | Individual Differences in Impulsivity Predict Head Motion during Magnetic Resonance Imaging |
title_full_unstemmed | Individual Differences in Impulsivity Predict Head Motion during Magnetic Resonance Imaging |
title_short | Individual Differences in Impulsivity Predict Head Motion during Magnetic Resonance Imaging |
title_sort | individual differences in impulsivity predict head motion during magnetic resonance imaging |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4141798/ https://www.ncbi.nlm.nih.gov/pubmed/25148416 http://dx.doi.org/10.1371/journal.pone.0104989 |
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