Brief mock-scan training reduces head motion during real scanning for children: A growth curve study
Pediatric neuroimaging datasets are rapidly increasing in scales. Despite strict protocols in data collection and preprocessing focused on improving data quality, the presence of head motion still impedes our understanding of neurodevelopmental mechanisms. Large head motion can lead to severe noise...
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Elsevier
2023-06-01
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Series: | Developmental Cognitive Neuroscience |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S187892932300049X |
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author | Peng Gao Yin-Shan Wang Qiu-Yu Lu Meng-Jie Rong Xue-Ru Fan Avram J. Holmes Hao-Ming Dong Hai-Fang Li Xi-Nian Zuo |
author_facet | Peng Gao Yin-Shan Wang Qiu-Yu Lu Meng-Jie Rong Xue-Ru Fan Avram J. Holmes Hao-Ming Dong Hai-Fang Li Xi-Nian Zuo |
author_sort | Peng Gao |
collection | DOAJ |
description | Pediatric neuroimaging datasets are rapidly increasing in scales. Despite strict protocols in data collection and preprocessing focused on improving data quality, the presence of head motion still impedes our understanding of neurodevelopmental mechanisms. Large head motion can lead to severe noise and artifacts in magnetic resonance imaging (MRI) studies, inflating correlations between adjacent brain areas and decreasing correlations between spatial distant territories, especially in children and adolescents. Here, by leveraging mock-scans of 123 Chinese children and adolescents, we demonstrated the presence of increased head motion in younger participants. Critically, a 5.5-minute training session in an MRI mock scanner was found to effectively suppress the head motion in the children and adolescents. Therefore, we suggest that mock scanner training should be part of the quality assurance routine prior to formal MRI data collection, particularly in large-scale population-level neuroimaging initiatives for pediatrics. |
first_indexed | 2024-03-13T05:02:59Z |
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institution | Directory Open Access Journal |
issn | 1878-9293 |
language | English |
last_indexed | 2024-03-13T05:02:59Z |
publishDate | 2023-06-01 |
publisher | Elsevier |
record_format | Article |
series | Developmental Cognitive Neuroscience |
spelling | doaj.art-52f22796552a43bd971430395b6040182023-06-17T05:17:56ZengElsevierDevelopmental Cognitive Neuroscience1878-92932023-06-0161101244Brief mock-scan training reduces head motion during real scanning for children: A growth curve studyPeng Gao0Yin-Shan Wang1Qiu-Yu Lu2Meng-Jie Rong3Xue-Ru Fan4Avram J. Holmes5Hao-Ming Dong6Hai-Fang Li7Xi-Nian Zuo8College of Information and Computer, Taiyuan University of Technology, No. 79 West Street Yingze, Taiyuan, Shanxi 030024, ChinaState Key Laboratory of Cognitive Neuroscience and Learning, Faculty of Psychology, Beijing Normal University, No 19 Xinjiekouwai Street, Haidian District, Beijing 100875, China; Developmental Population Neuroscience Research Center, IDG/McGovern Institute for Brain Research, Beijing Normal University, No 19 Xinjiekouwai Street, Haidian District, Beijing 100875, ChinaState Key Laboratory of Cognitive Neuroscience and Learning, Faculty of Psychology, Beijing Normal University, No 19 Xinjiekouwai Street, Haidian District, Beijing 100875, China; Developmental Population Neuroscience Research Center, IDG/McGovern Institute for Brain Research, Beijing Normal University, No 19 Xinjiekouwai Street, Haidian District, Beijing 100875, ChinaState Key Laboratory of Cognitive Neuroscience and Learning, Faculty of Psychology, Beijing Normal University, No 19 Xinjiekouwai Street, Haidian District, Beijing 100875, China; Institute of Psychology, Chinese Academy of Sciences, No 16 Lincui Road, Chaoyang District, Beijing 100101, ChinaState Key Laboratory of Cognitive Neuroscience and Learning, Faculty of Psychology, Beijing Normal University, No 19 Xinjiekouwai Street, Haidian District, Beijing 100875, China; Developmental Population Neuroscience Research Center, IDG/McGovern Institute for Brain Research, Beijing Normal University, No 19 Xinjiekouwai Street, Haidian District, Beijing 100875, China; Institute of Psychology, Chinese Academy of Sciences, No 16 Lincui Road, Chaoyang District, Beijing 100101, ChinaDepartment of Psychology, Yale University, 1 Prospect Street, New Haven, CT 06511, USAState Key Laboratory of Cognitive Neuroscience and Learning, Faculty of Psychology, Beijing Normal University, No 19 Xinjiekouwai Street, Haidian District, Beijing 100875, China; Developmental Population Neuroscience Research Center, IDG/McGovern Institute for Brain Research, Beijing Normal University, No 19 Xinjiekouwai Street, Haidian District, Beijing 100875, China; Corresponding author at: State Key Laboratory of Cognitive Neuroscience and Learning, Faculty of Psychology, Beijing Normal University, No 19 Xinjiekouwai Street, Haidian District, Beijing 100875, China.College of Information and Computer, Taiyuan University of Technology, No. 79 West Street Yingze, Taiyuan, Shanxi 030024, China; Corresponding author.State Key Laboratory of Cognitive Neuroscience and Learning, Faculty of Psychology, Beijing Normal University, No 19 Xinjiekouwai Street, Haidian District, Beijing 100875, China; Developmental Population Neuroscience Research Center, IDG/McGovern Institute for Brain Research, Beijing Normal University, No 19 Xinjiekouwai Street, Haidian District, Beijing 100875, China; Institute of Psychology, Chinese Academy of Sciences, No 16 Lincui Road, Chaoyang District, Beijing 100101, China; National Basic Science Data Center, No 2 Dongsheng South Road, Haidian District, Beijing 100190, China; Corresponding author at: State Key Laboratory of Cognitive Neuroscience and Learning, Faculty of Psychology, Beijing Normal University, No 19 Xinjiekouwai Street, Haidian District, Beijing 100875, China.Pediatric neuroimaging datasets are rapidly increasing in scales. Despite strict protocols in data collection and preprocessing focused on improving data quality, the presence of head motion still impedes our understanding of neurodevelopmental mechanisms. Large head motion can lead to severe noise and artifacts in magnetic resonance imaging (MRI) studies, inflating correlations between adjacent brain areas and decreasing correlations between spatial distant territories, especially in children and adolescents. Here, by leveraging mock-scans of 123 Chinese children and adolescents, we demonstrated the presence of increased head motion in younger participants. Critically, a 5.5-minute training session in an MRI mock scanner was found to effectively suppress the head motion in the children and adolescents. Therefore, we suggest that mock scanner training should be part of the quality assurance routine prior to formal MRI data collection, particularly in large-scale population-level neuroimaging initiatives for pediatrics.http://www.sciencedirect.com/science/article/pii/S187892932300049Xmock scanhead motiongrowth curvepediatric chartquality controlneurodevelopment |
spellingShingle | Peng Gao Yin-Shan Wang Qiu-Yu Lu Meng-Jie Rong Xue-Ru Fan Avram J. Holmes Hao-Ming Dong Hai-Fang Li Xi-Nian Zuo Brief mock-scan training reduces head motion during real scanning for children: A growth curve study Developmental Cognitive Neuroscience mock scan head motion growth curve pediatric chart quality control neurodevelopment |
title | Brief mock-scan training reduces head motion during real scanning for children: A growth curve study |
title_full | Brief mock-scan training reduces head motion during real scanning for children: A growth curve study |
title_fullStr | Brief mock-scan training reduces head motion during real scanning for children: A growth curve study |
title_full_unstemmed | Brief mock-scan training reduces head motion during real scanning for children: A growth curve study |
title_short | Brief mock-scan training reduces head motion during real scanning for children: A growth curve study |
title_sort | brief mock scan training reduces head motion during real scanning for children a growth curve study |
topic | mock scan head motion growth curve pediatric chart quality control neurodevelopment |
url | http://www.sciencedirect.com/science/article/pii/S187892932300049X |
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