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Dissimilarity of functional connectivity uncovers the influence of participant's motion in functional magnetic resonance imaging studies
Head motion is a major confounding factor impairing the quality of functional magnetic resonance imaging (fMRI) data. In particular, head motion can reduce analytical efficiency, and its effects are still present even after preprocessing. To examine the validity of motion removal and to evaluate the...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7814752/ https://www.ncbi.nlm.nih.gov/pubmed/33079467 http://dx.doi.org/10.1002/hbm.25255 |
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author | Yang, Lili Wu, Bo Fan, Linyu Huang, Shishi Vigotsky, Andrew D. Baliki, Marwan N. Yan, Zhihan Apkarian, A. Vania Huang, Lejian |
author_facet | Yang, Lili Wu, Bo Fan, Linyu Huang, Shishi Vigotsky, Andrew D. Baliki, Marwan N. Yan, Zhihan Apkarian, A. Vania Huang, Lejian |
author_sort | Yang, Lili |
collection | PubMed |
description | Head motion is a major confounding factor impairing the quality of functional magnetic resonance imaging (fMRI) data. In particular, head motion can reduce analytical efficiency, and its effects are still present even after preprocessing. To examine the validity of motion removal and to evaluate the remaining effects of motion on the quality of the preprocessed fMRI data, a new metric of group quality control (QC), dissimilarity of functional connectivity, is introduced. Here, we investigate the association between head motion, represented by mean framewise displacement, and dissimilarity of functional connectivity by applying four preprocessing methods in two independent resting‐state fMRI datasets: one consisting of healthy participants (N = 167) scanned in a 3T GE‐Discovery 750 with longer TR (2.5 s), and the other of chronic back pain patients (N = 143) in a 3T Siemens Magnetom Prisma scanner with shorter TR (0.555 s). We found that dissimilarity of functional connectivity uncovers the influence of participant's motion, and this relationship is independent of population, scanner, and preprocessing method. The association between motion and dissimilarity of functional connectivity, and how the removal of high‐motion participants affects this association, is a new strategy for group‐level QC following preprocessing. |
format | Online Article Text |
id | pubmed-7814752 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78147522021-01-26 Dissimilarity of functional connectivity uncovers the influence of participant's motion in functional magnetic resonance imaging studies Yang, Lili Wu, Bo Fan, Linyu Huang, Shishi Vigotsky, Andrew D. Baliki, Marwan N. Yan, Zhihan Apkarian, A. Vania Huang, Lejian Hum Brain Mapp Research Articles Head motion is a major confounding factor impairing the quality of functional magnetic resonance imaging (fMRI) data. In particular, head motion can reduce analytical efficiency, and its effects are still present even after preprocessing. To examine the validity of motion removal and to evaluate the remaining effects of motion on the quality of the preprocessed fMRI data, a new metric of group quality control (QC), dissimilarity of functional connectivity, is introduced. Here, we investigate the association between head motion, represented by mean framewise displacement, and dissimilarity of functional connectivity by applying four preprocessing methods in two independent resting‐state fMRI datasets: one consisting of healthy participants (N = 167) scanned in a 3T GE‐Discovery 750 with longer TR (2.5 s), and the other of chronic back pain patients (N = 143) in a 3T Siemens Magnetom Prisma scanner with shorter TR (0.555 s). We found that dissimilarity of functional connectivity uncovers the influence of participant's motion, and this relationship is independent of population, scanner, and preprocessing method. The association between motion and dissimilarity of functional connectivity, and how the removal of high‐motion participants affects this association, is a new strategy for group‐level QC following preprocessing. John Wiley & Sons, Inc. 2020-10-20 /pmc/articles/PMC7814752/ /pubmed/33079467 http://dx.doi.org/10.1002/hbm.25255 Text en © 2020 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | Research Articles Yang, Lili Wu, Bo Fan, Linyu Huang, Shishi Vigotsky, Andrew D. Baliki, Marwan N. Yan, Zhihan Apkarian, A. Vania Huang, Lejian Dissimilarity of functional connectivity uncovers the influence of participant's motion in functional magnetic resonance imaging studies |
title | Dissimilarity of functional connectivity uncovers the influence of participant's motion in functional magnetic resonance imaging studies |
title_full | Dissimilarity of functional connectivity uncovers the influence of participant's motion in functional magnetic resonance imaging studies |
title_fullStr | Dissimilarity of functional connectivity uncovers the influence of participant's motion in functional magnetic resonance imaging studies |
title_full_unstemmed | Dissimilarity of functional connectivity uncovers the influence of participant's motion in functional magnetic resonance imaging studies |
title_short | Dissimilarity of functional connectivity uncovers the influence of participant's motion in functional magnetic resonance imaging studies |
title_sort | dissimilarity of functional connectivity uncovers the influence of participant's motion in functional magnetic resonance imaging studies |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7814752/ https://www.ncbi.nlm.nih.gov/pubmed/33079467 http://dx.doi.org/10.1002/hbm.25255 |
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