ArticleScientific reports2018
Adaptive optimal basis set for BCG artifact removal in simultaneous EEG-fMRI.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
28 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artifact Reduction in Simultaneous EEG-fMRI: A Systematic Review of Methods and Contemporary Usage.Frontiers in neurology · 2021Pooled it
- Multimodal EEG-MRI Neuroimaging in Schizophrenia-A Systematic and Mechanistic Review.Journal of clinical medicine · 2026Review
- Resting-state EEG alpha-BOLD coupling spatially follows cortical cell-type and receptor gradients.bioRxiv : the preprint server for biology · 2026Article
- Human brain imaging with high-density electroencephalography: Techniques and applications.The Journal of physiology · 2026Review
- Enhancing Signal and Network Integrity: Evaluating BCG Artifact Removal Techniques in Simultaneous EEG-fMRI Data.Sensors (Basel, Switzerland) · 2025Article
- Spatial (mis)match between EEG and fMRI signal patterns revealed by spatio-spectral source-space EEG decomposition.Frontiers in neuroscience · 2025Article
- Evaluating cardiac noise correction approaches for non-invasive electrophysiology of the human spinal cord.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Article
- Alterations of sleep initiation in NREM parasomnia after sleep deprivation - A multimodal pilot study.Sleep medicine: X · 2023Article
- MultiResUNet3+: A Full-Scale Connected Multi-Residual UNet Model to Denoise Electrooculogram and Electromyogram Artifacts from Corrupted Electroencephalogram Signals.Bioengineering (Basel, Switzerland) · 2023Article
- Wearable cardiorespiratory monitoring with stretchable elastomer optical fiber.Biomedical optics express · 2023Article
- mGluR5 binding changes during a mismatch negativity task in a multimodal protocol with [Translational psychiatry · 2022Article
- Evaluation and comparison of most prevalent artifact reduction methods for EEG acquired simultaneously with fMRI.Frontiers in neuroimaging · 2022Article
- Reference-Free Adaptive Filtering of Extracellular Neural Signals Recording in Ultra-High Field Magnetic Resonance Imaging Scanners: Removal of Periodic Interferences.Biomedical signal processing and control · 2022Article
- EEG-fMRI: Ballistocardiogram Artifact Reduction by Surrogate Method for Improved Source Localization.Frontiers in neuroscience · 2022Article
- Simultaneous electroencephalography-functional magnetic resonance imaging for assessment of human brain function.Frontiers in systems neuroscience · 2022Review
- Data-driven beamforming technique to attenuate ballistocardiogram artefacts in electroencephalography-functional magnetic resonance imaging without detecting cardiac pulses in electrocardiography recordings.Human brain mapping · 2021Article
- Automated pipeline for EEG artifact reduction (APPEAR) recorded during fMRI.Journal of neural engineering · 2021Article
- Reversed and increased functional connectivity in non-REM sleep suggests an altered rather than reduced state of consciousness relative to wake.Scientific reports · 2021Article
- Recent Advances in Neuroimaging of Epilepsy.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Electroencephalography (EEG) signals recorded during simultaneous functional magnetic resonance imaging (fMRI) are contaminated by strong artifacts. Among these, the ballistocardiographic (BCG) artifact is the most challenging, due to its complex spatio-temporal dynamics associated with ongoing cardiac activity. The presence of BCG residuals in EEG data may hide true, or generate spurious correlations between EEG and fMRI time-courses. Here, we propose an adaptive Optimal Basis Set (aOBS) method for BCG artifact removal. Our method is adaptive, as it can estimate the delay between cardiac activity and BCG occurrence on a beat-to-beat basis. The effective creation of an optimal basis set by principal component analysis (PCA) is therefore ensured by a more accurate alignment of BCG occurrences. Furthermore, aOBS can automatically estimate which components produced by PCA are likely to be BCG artifact-related and therefore need to be removed. The aOBS performance was evaluated on high-density EEG data acquired with simultaneous fMRI in healthy subjects during visual stimulation. As aOBS enables effective reduction of BCG residuals while preserving brain signals, we suggest it may find wide application in simultaneous EEG-fMRI studies.
Indexed as
Identifiers
What OpenQuestion holds
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.