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...

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Bibliographic Details
Main Authors: Apkarian, A.V (Author), Baliki, M.N (Author), Fan, L. (Author), Huang, L. (Author), Huang, S. (Author), Vigotsky, A.D (Author), Wu, B. (Author), Yan, Z. (Author), Yang, L. (Author)
Format: Article
Language:English
Published: John Wiley and Sons Inc 2021
Subjects:
Online Access:View Fulltext in Publisher
LEADER 03324nam a2200685Ia 4500
001 10.1002-hbm.25255
008 220427s2021 CNT 000 0 und d
020 |a 10659471 (ISSN) 
245 1 0 |a Dissimilarity of functional connectivity uncovers the influence of participant's motion in functional magnetic resonance imaging studies 
260 0 |b John Wiley and Sons Inc  |c 2021 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1002/hbm.25255 
520 3 |a 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. © 2020 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. 
650 0 4 |a adult 
650 0 4 |a Adult 
650 0 4 |a Article 
650 0 4 |a Back Pain 
650 0 4 |a backache 
650 0 4 |a brain 
650 0 4 |a Brain 
650 0 4 |a chronic pain 
650 0 4 |a Chronic Pain 
650 0 4 |a connectome 
650 0 4 |a Connectome 
650 0 4 |a controlled study 
650 0 4 |a diagnostic imaging 
650 0 4 |a dissimilarity 
650 0 4 |a female 
650 0 4 |a Female 
650 0 4 |a fMRI 
650 0 4 |a functional connectivity 
650 0 4 |a functional connectivity 
650 0 4 |a functional magnetic resonance imaging 
650 0 4 |a group quality of control 
650 0 4 |a head movement 
650 0 4 |a Head Movements 
650 0 4 |a human 
650 0 4 |a Humans 
650 0 4 |a Magnetic Resonance Imaging 
650 0 4 |a major clinical study 
650 0 4 |a male 
650 0 4 |a Male 
650 0 4 |a middle aged 
650 0 4 |a Middle Aged 
650 0 4 |a motion 
650 0 4 |a normal human 
650 0 4 |a nuclear magnetic resonance imaging 
650 0 4 |a pathophysiology 
650 0 4 |a physiology 
650 0 4 |a priority journal 
650 0 4 |a quality control 
700 1 |a Apkarian, A.V.  |e author 
700 1 |a Baliki, M.N.  |e author 
700 1 |a Fan, L.  |e author 
700 1 |a Huang, L.  |e author 
700 1 |a Huang, S.  |e author 
700 1 |a Vigotsky, A.D.  |e author 
700 1 |a Wu, B.  |e author 
700 1 |a Yan, Z.  |e author 
700 1 |a Yang, L.  |e author 
773 |t Human Brain Mapping