ArticleNetwork neuroscience (Cambridge, Mass.)2019
Evaluation of confound regression strategies for the mitigation of micromovement artifact in studies of dynamic resting-state functional connectivity and multilayer network modularity.
Article in Network neuroscience (Cambridge, Mass.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
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Who cites it
44 citing papers in PubMed.
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- Altered inter-hemispheric and intra-hemispheric functional connectivity dynamics in male cigarette smokers.BMC psychiatry · 2025Article
- Characterizing the effects of age, puberty, and sex on variability in resting-state functional connectivity in late childhood and early adolescence.NeuroImage · 2025Article
- Measuring the effects of motion corruption in fetal fMRI.Human brain mapping · 2025Article
- Whole-brain modular dynamics at rest predict sensorimotor learning performance.Network neuroscience (Cambridge, Mass.) · 2025Article
- A synergistic workspace for human consciousness revealed by Integrated Information Decomposition.eLife · 2024Article
- Topological features of functional brain networks and subclinical impulsivity: an investigation in younger and older adults.Brain structure & function · 2024Article
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- Task learning is subserved by a domain-general brain network.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Functional MRI brain state occupancy in the presence of cerebral small vessel diseaseImaging neuroscience (Cambridge, Mass.) · 2024Article
- Influence of atlas-choice on age and time effects in large-scale brain networks in the context of healthy aging.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Connectomics-based resting-state functional network alterations predict suicidality in major depressive disorder.Translational psychiatry · 2023Article
- Emerging Perspectives on MRI Application in Multiple Sclerosis: Moving from Pathophysiology to Clinical Practice.Radiology · 2023Review
- Within-subject reproducibility varies in multi-modal, longitudinal brain networks.Scientific reports · 2023Article
- Whole-brain dynamics of human sensorimotor adaptation.Cerebral cortex (New York, N.Y. : 1991) · 2023Article
- Reduced emergent character of neural dynamics in patients with a disrupted connectome.NeuroImage · 2023Article
- Investigating cognitive neuroscience theories of human intelligence: A connectome-based predictive modeling approach.Human brain mapping · 2023Article
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4 authors.
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Abstract
Dynamic functional connectivity reflects the spatiotemporal organization of spontaneous brain activity in health and disease. Dynamic functional connectivity may be susceptible to artifacts induced by participant motion. This report provides a systematic evaluation of 12 commonly used participant-level confound regression strategies designed to mitigate the effects of micromovements in a sample of 393 youths (ages 8-22 years). Each strategy was evaluated according to a number of benchmarks, including (a) the residual association between participant motion and edge dispersion, (b) distance-dependent effects of motion on edge dispersion, (c) the degree to which functional subnetworks could be identified by multilayer modularity maximization, and (d) measures of module reconfiguration, including node flexibility and node promiscuity. Results indicate variability in the effectiveness of the evaluated pipelines across benchmarks. Methods that included global signal regression were the most consistently effective de-noising strategies.
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