ArticleNeuroImage2017
An improved model of motion-related signal changes in fMRI.
Article in NeuroImage, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.
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Who cites it
58 citing papers in PubMed.
- Acupuncture modulates emotional network resting-state functional connectivity in patients with insomnia disorder: a randomized controlled trial and fMRI study.BMC complementary medicine and therapies · 2024Trial
- Active head motion reduction in magnetic resonance imaging using tactile feedback.Human brain mapping · 2019Trial
- Physical characteristics not psychological state or trait characteristics predict motion during resting state fMRI.Scientific reports · 2019Trial
- Article
- Directional Brain Connectivity Changes Induced by Heart Rate Variability Biofeedback: A Spectral Dynamic Causal Modeling Study.Research square · 2026Article
- What is common to memory retrieval and relational reasoning? Testing neural overlap in anterior lateral prefrontal cortex.bioRxiv : the preprint server for biology · 2026Article
- Uncovering Individual Language Vulnerability in Epilepsy Through Functional Connectivity Laterality.Clinical neuroradiology · 2026Article
- The Human Cerebellum Encodes Temporally Sensitive Reinforcement Learning Signals.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Dorsomedial prefrontal cortex links abstract planning to motor execution.Communications biology · 2026Article
- Model-based and model-free valuation signals in the human brain vary markedly in relation to individual differences in behavioral control.Cell reports · 2026Article
- Protocol to study neurobiological pathways to adverse patterns of substance use in adolescents with anxiety.Addiction neuroscience · 2026Article
- PsiConnect: Multimodal Neuroimaging of Context-Dependent Brain and Behaviour Dynamics under Psilocybin.Scientific data · 2026Article
- Neural Representations and Functional Connections Underlie Subjective Positive Affect.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Functional connectivity during drawing after upper extremity peripheral nerve surgery: enhanced connectivity between motor and visuomotor-parietal regions.bioRxiv : the preprint server for biology · 2026Article
- A densely sampled fMRI dataset for investigating food valuation.Scientific data · 2026Article
- Binding items to contexts through conjunctive neural representations with the method of loci.Nature communications · 2026Article
- Action information is integrated into entorhinal representations of conceptual space and is reflected in eye movements.PLoS biology · 2026Article
- The representation of speech conversations in the human auditory cortex: role of social and semantic factors.Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- Population coding for visual and auditory quantity in human numerotopic maps.Communications biology · 2026Article
- Synergistic and redundant information dynamics are modulated by Alzheimer's disease and cognitive impairment.bioRxiv : the preprint server for biology · 2026Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Head motion is a significant source of noise in the estimation of functional connectivity from resting-state functional MRI (rs-fMRI). Current strategies to reduce this noise include image realignment, censoring time points corrupted by motion, and including motion realignment parameters and their derivatives as additional nuisance regressors in the general linear model. However, this nuisance regression approach assumes that the motion-induced signal changes are linearly related to the estimated realignment parameters, which is not always the case. In this study we develop an improved model of motion-related signal changes, where nuisance regressors are formed by first rotating and translating a single brain volume according to the estimated motion, re-registering the data, and then performing a principal components analysis (PCA) on the resultant time series of both moved and re-registered data. We show that these "Motion Simulated (MotSim)" regressors account for significantly greater fraction of variance, result in higher temporal signal-to-noise, and lead to functional connectivity estimates that are less affected by motion compared to the most common current approach of using the realignment parameters and their derivatives as nuisance regressors. This improvement should lead to more accurate estimates of functional connectivity, particularly in populations where motion is prevalent, such as patients and young children.
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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.