ReviewFrontiers in neuroscience2019
Resting State fMRI: Going Through the Motions.
Review in Frontiers in neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
62 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Common neural dysfunction in psychiatric disorders: Insights from a meta-analysis of resting-state fMRI studies.Translational psychiatry · 2025Pooled it
- Prenatal Magnesium Sulfate and Functional Connectivity in Offspring at Term-Equivalent Age.JAMA network open · 2024Trial
- Modulation of simultaneously collected hemodynamic and electrophysiological functional connectivity by ketamine and midazolam.Human brain mapping · 2020Trial
- The State of Motion: Demographic and Representational Consequences of Motion-Based Exclusion in FMRI.bioRxiv : the preprint server for biology · 2026Article
- Resting-State vs. Task-Based Functional Magnetic Resonance Imaging in Neurosurgical Planning: A Narrative Review of Clinical Applications.Biomedicines · 2026Review
- Supervised Domain Adaptation Mitigates Cross-Ethnicity Prediction Error in Neuroimaging-Based Cognitive Prediction.bioRxiv : the preprint server for biology · 2026Article
- Stepwise clinical and diagnostic strategy for coma of unknown origin.Intensive care medicine · 2026Review
- Neuroinflammation and blood-brain barrier dysfunction in cerebral small vessel disease: mechanisms, biomarkers, and therapeutic implications.European journal of medical research · 2026Review
- Magnetic Resonance Imaging-Guided Neuronavigation for Transcranial Magnetic Stimulation in Mood Disorders: Technical Foundation, Advances, and Emerging Tools.Human brain mapping · 2025Review
- The Bias Associated with Movement-related Data Exclusion in Psychosis MRI Research.Indian journal of psychological medicine · 2025Article
- Voxel Volume Overlap: Voxel-Size Sensitive Indicators of Subject Motion in Functional MRI.Human brain mapping · 2025Article
- The effects of protocol factors and participant characteristics on functional near-infrared spectroscopy data quality after stroke.Neuroimage. Reports · 2025Article
- Action-type mapping principles extend beyond evolutionarily conserved actions, even in people born without hands.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Review
- The Use of fMRI Regional Analysis to Automatically Detect ADHD Through a 3D CNN-Based Approach.Journal of imaging informatics in medicine · 2025Article
- Exploring functional connectivity at different timescales with multivariate mode decomposition.Frontiers in neuroscience · 2025Article
- Gait dynamics and brain function abnormalities in Parkinson's disease with freezing of gait: a clinical study using resting-state fMRI and wearable devices.Frontiers in neuroscience · 2025Article
- Denoising strategies of functional connectivity MRI data in lesional and non-lesional brain diseases.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Robustness, spatial detail, and pitfalls of fixed ICA dimensionality in resting-state fMRI networks at 1.5, 3, and 7 T.Frontiers in neuroscience · 2025Article
- CICADA: An automated and flexible tool for comprehensive fMRI noise reduction.Imaging neuroscience (Cambridge, Mass.) · 2025Article
2 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Resting state functional magnetic resonance imaging (rs-fMRI) has become an indispensable tool in neuroscience research. Despite this, rs-fMRI signals are easily contaminated by artifacts arising from movement of the head during data collection. The artifacts can be problematic even for motions on the millimeter scale, with complex spatiotemporal properties that can lead to substantial errors in functional connectivity estimates. Effective correction methods must be employed, therefore, to distinguish true functional networks from motion-related noise. Research over the last three decades has produced numerous correction methods, many of which must be applied in combination to achieve satisfactory data quality. Subject instruction, training, and mild restraints are helpful at the outset, but usually insufficient. Improvements come from applying multiple motion correction algorithms retrospectively after rs-fMRI data are collected, although residual artifacts can still remain in cases of elevated motion, which are especially prevalent in patient populations. Although not commonly adopted at present, "real-time" correction methods are emerging that can be combined with retrospective methods and that promise better correction and increased rs-fMRI signal sensitivity. While the search for the ideal motion correction protocol continues, rs-fMRI research will benefit from good disclosure practices, such as: (1) reporting motion-related quality control metrics to provide better comparison between studies; and (2) including motion covariates in group-level analyses to limit the extent of motion-related confounds when studying group differences.
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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.