Evidence map›Paper›PMID 35276363›Full record

ArticleNeuroImage2022

FLUX: A pipeline for MEG analysis.

Oscar Ferrante, Ling Liu, Tamas Minarik, Urszula Gorska, Tara Ghafari, Huan Luo, Ole Jensen

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

  1. Rhythmic stimulation elicits multiple, concurrent neural responses.Cerebral cortex (New York, N.Y. : 1991) · 2026
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  8. Alpha Oscillations Track the Projection of Reactivated Memories into Conscious Awareness.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  9. Article
  10. Predictive Distractor Processing Relies on Integrated Proactive and Reactive Attentional Mechanisms.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  11. Article
  12. Article
  13. 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 · 2026
    Article
  14. Article
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  18. Fast Feature- and Category-Related Parafoveal Previewing Support Free Visual Exploration.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Oscar FerranteCentre for Human Brain Health, School of Psychology, University of Birmingham, UK.
Ling LiuSchool of Communication Science, Beijing Language and Culture University, Beijing, China; School of Psychological and Cognitive Sciences, Peking University, Beijing, China.
Tamas MinarikCenter of Functionally Integrative Neuroscience, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Urszula GorskaDepartment of Psychiatry, University of Wisconsin-Madison, Madison, WI, USA.
Tara GhafariCentre for Human Brain Health, School of Psychology, University of Birmingham, UK; Department of Physiology, Medical School, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Huan LuoSchool of Psychological and Cognitive Sciences, Peking University, Beijing, China.
Ole JensenCentre for Human Brain Health, School of Psychology, University of Birmingham, UK. Electronic address: o.jensen@bham.ac.uk.

Funding

Biotechnology and Biological Sciences Research Council BB/R018723/1Wellcome Trust 207550Wellcome Trust 207550/Z/17/Z
6 · The paper itself

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.

Indexed as

MagnetoencephalographySignal Processing, Computer-AssistedHumansMultivariate AnalysisDecodingEvent-related fieldsMagnetoencephalographyMultivariate pattern analysisPre-processingPre-registrationReplicabilitySource modelling

Identifiers

PMID35276363
PMCPMC9127391

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.