Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Kong, Xiang-zhen, Zhen, Zonglei, Li, Xueting, Lu, Huan-hua, Wang, Ruosi, Liu, Ling, He, Yong, Zang, Yufeng, Liu, Jia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
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
_version_ 1782331693837844480
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
work_keys_str_mv AT kongxiangzhen individualdifferencesinimpulsivitypredictheadmotionduringmagneticresonanceimaging
AT zhenzonglei individualdifferencesinimpulsivitypredictheadmotionduringmagneticresonanceimaging
AT lixueting individualdifferencesinimpulsivitypredictheadmotionduringmagneticresonanceimaging
AT luhuanhua individualdifferencesinimpulsivitypredictheadmotionduringmagneticresonanceimaging
AT wangruosi individualdifferencesinimpulsivitypredictheadmotionduringmagneticresonanceimaging
AT liuling individualdifferencesinimpulsivitypredictheadmotionduringmagneticresonanceimaging
AT heyong individualdifferencesinimpulsivitypredictheadmotionduringmagneticresonanceimaging
AT zangyufeng individualdifferencesinimpulsivitypredictheadmotionduringmagneticresonanceimaging
AT liujia individualdifferencesinimpulsivitypredictheadmotionduringmagneticresonanceimaging