ArticleNeuroImage2022
FLUX: A pipeline for MEG analysis.
Article in NeuroImage, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- Rhythmic stimulation elicits multiple, concurrent neural responses.Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- Connectome-Guided Personalization of Optimal TDCS Intervention Selection in Alzheimer's Disease: A Modeling Study.eNeuro · 2026Article
- Compressive learning scaffolds higher-order network structure to enhance human knowledge acquisition.Nature communications · 2026Article
- A large-scale heterogeneous 3D magnetic resonance brain imaging dataset for self-supervised learning.Scientific data · 2026Article
- Magnetoencephalography in human neuroscience research: planning, piloting, implementation and quality assurance.Nature protocols · 2026Review
- The ENIGMA MEG Pipeline: Automated cortically localized spectral analysis of multi-site resting state MEG datasets.bioRxiv : the preprint server for biology · 2026Article
- An open multi-center MEG-EEG dataset for studying conscious visual perception.Scientific data · 2026Article
- Alpha Oscillations Track the Projection of Reactivated Memories into Conscious Awareness.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Prediction, syntax and semantic grounding in the brain and large language models.Scientific reports · 2026Article
- Predictive Distractor Processing Relies on Integrated Proactive and Reactive Attentional Mechanisms.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Pre-stimulus alpha power modulates trial-by-trial variability in theta rhythmic multisensory entrainment strength and theta-induced memory effect.Communications psychology · 2026Article
- Mapping neural activity during naturalistic visual and memory search.Frontiers in human neuroscience · 2026Article
- Enhanced Neural Decoding With Optically Pumped Magnetometer MEG Using Multivariate Pattern Analysis.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2026Article
- A data-driven approach to identifying and evaluating connectivity-based neural correlates of conscious visual perception.Neuroscience of consciousness · 2026Article
- Fast hierarchical processing of orthographic and semantic parafoveal information during natural reading.Nature communications · 2025Article
- Adversarial testing of global neuronal workspace and integrated information theories of consciousness.Nature · 2025Article
- Increased Modulation of Low-Frequency Cardiac Rhythms on Resting-State Left Insula Alpha Oscillations in Major Depressive Disorder: Evidence from a Magnetoencephalography Study.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Fast Feature- and Category-Related Parafoveal Previewing Support Free Visual Exploration.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Optimizing magnetometers arrays and analysis pipelines for multivariate pattern analysis.Journal of neuroscience methods · 2024Article
- Cortical oscillations and event-related brain potentials during the preparation and execution of deceptive behavior.Psychophysiology · 2024Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Magnetoencephalography (MEG) allows for quantifying modulations of human neuronal activity on a millisecond time scale while also making it possible to estimate the location of the underlying neuronal sources. The technique relies heavily on signal processing and source modelling. To this end, there are several open-source toolboxes developed by the community. While these toolboxes are powerful as they provide a wealth of options for analyses, the many options also pose a challenge for reproducible research as well as for researchers new to the field. The FLUX pipeline aims to make the analyses steps and setting explicit for standard analysis done in cognitive neuroscience. It focuses on quantifying and source localization of oscillatory brain activity, but it can also be used for event-related fields and multivariate pattern analysis. The pipeline is derived from the Cogitate consortium addressing a set of concrete cognitive neuroscience questions. Specifically, the pipeline including documented code is defined for MNE Python (a Python toolbox) and FieldTrip (a Matlab toolbox), and a data set on visuospatial attention is used to illustrate the steps. The scripts are provided as notebooks implemented in Jupyter Notebook and MATLAB Live Editor providing explanations, justifications and graphical outputs for the essential steps. Furthermore, we also provide suggestions for text and parameter settings to be used in registrations and publications to improve replicability and facilitate pre-registrations. The FLUX can be used for education either in self-studies or guided workshops. We expect that the FLUX pipeline will strengthen the field of MEG by providing some standardization on the basic analysis steps and by aligning approaches across toolboxes. Furthermore, we also aim to support new researchers entering the field by providing education and training. The FLUX pipeline is not meant to be static; it will evolve with the development of the toolboxes and with new insights. Furthermore, with the anticipated increase in MEG systems based on the Optically Pumped Magnetometers, the pipeline will also evolve to embrace these developments.
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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.