ArticleHuman brain mapping2021
Dissimilarity of functional connectivity uncovers the influence of participant's motion in functional magnetic resonance imaging studies.
Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 13 citations in OpenAlex.
- Immersive virtual reality-based rehabilitation for subacute stroke: a randomized controlled trial.Journal of neurology · 2024Trial
- Eigenvalue Signatures Reveal Residual Motion Effects Across Resting-State fMRI Denoising Strategies.bioRxiv : the preprint server for biology · 2026Article
- Cortical Surface Spatial Analysis Reveals Altered Brain Functional Network Topology in T2DM With Mild Cognitive Impairment.Brain and behavior · 2025Article
- Body mass index associated with respiration predicts motion in resting-state functional magnetic resonance imaging scans.Human brain mapping · 2024Article
- Changes of brain structure and structural covariance networks in Parkinson's disease associated cognitive impairment.Frontiers in aging neuroscience · 2024Article
- Subtypes in addiction and their neurobehavioral profiles across three functional domains.Translational psychiatry · 2023Article
- Neuroimaging Assessment of Pain.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2022Review
- Brain Functional Topology Alteration in Right Lateral Occipital Cortex Is Associated With Upper Extremity Motor Recovery.Frontiers in neurology · 2022Article
- Dissimilarity of functional connectivity uncovers the influence of participant's motion in functional magnetic resonance imaging studies.Human brain mapping · 2021Article
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Authors and funding
9 authors at 2 institutions in 2 countries.
Funding
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.