ReviewBrain sciences2017
A Review of Issues Related to Data Acquisition and Analysis in EEG/MEG Studies.
Review in Brain sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 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.
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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.
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Who cites it
66 citing papers in PubMed, 1 synthesis or guideline pooled it, 184 citations in OpenAlex.
- Tracking electrophysiological signatures of Alzheimer's disease: a systematic review of multimodal studies.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025Pooled it
- Article
- BrainDEC: An M/EEG Unsupervised Representation Learning Framework with Disentangled Equivariance Constraint.Interdisciplinary sciences, computational life sciences · 2026Article
- Optically pumped magnetometers enhance neuroimaging performance-An EEG, OPM, and SQUID-MEG study.iScience · 2026Article
- Review
- Uncovering putative neural mechanisms of neurotherapeutic impacts on EEG using the Human Neocortical Neurosolver.bioRxiv : the preprint server for biology · 2026Article
- The Mismatch Negativity Compared: EEG, SQUID-MEG, and NovelHuman brain mapping · 2025Article
- Pre-attentive Pitch Processing of Harmonic Complex Sounds at Sensor and Source Levels: Comparing Simultaneously Recorded EEG and MEG Data.Brain topography · 2025Article
- A model for epileptic EEG detection and recognition based on Multi-Attention mechanism and Spatiotemporal.Scientific reports · 2025Article
- Physical activity simultaneously improves working memory and ripple-spindle coupling.Communications biology · 2025Article
- γ neuromodulations: unraveling biomarkers for neurological and psychiatric disorders.Military Medical Research · 2025Review
- Detecting Autism Spectrum Disorder and Attention Deficit Hyperactivity Disorder Using Multimodal Time-Frequency Analysis with Machine Learning Using the Electroretinogram from Two Flash Strengths.Journal of autism and developmental disorders · 2025Article
- Noninvasive classification of physiological and pathological high frequency oscillations in children.Brain communications · 2025Article
- Motion Artifacts in Dynamic EEG Recordings: Experimental Observations, Electrical Modelling, and Design Considerations.Sensors (Basel, Switzerland) · 2024Article
- Altered Cortical Activity during a Finger Tap in People with Stroke.Brain topography · 2024Article
- Decoding N400m Evoked Component: A Tutorial on Multivariate Pattern Analysis for OP-MEG Data.Bioengineering (Basel, Switzerland) · 2024Article
- Pulse Compression Shape-Based ADC/DAC Chain Synchronization Measurement Algorithm with Sub-Sampling Resolution.Sensors (Basel, Switzerland) · 2024Article
- Uncovering sympathetic nervous system dysfunction in disorders of consciousness via heart rate variability during head-up tilt test.Physiological reports · 2024Article
- Evaluating and benchmarking the EEG signal quality of high-density, dry MXene-based electrode arrays against gelled Ag/AgCl electrodes.Journal of neural engineering · 2024Article
- Simultaneous MEG and EEG source imaging of electrophysiological activity in response to acute transcranial photobiomodulation.Frontiers in neuroscience · 2024Article
6 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
2 authors at 2 institutions in 1 country.
Funding
Abstract
Electroencephalography (EEG) and magnetoencephalography (MEG) are non-invasive electrophysiological methods, which record electric potentials and magnetic fields due to electric currents in synchronously-active neurons. With MEG being more sensitive to neural activity from tangential currents and EEG being able to detect both radial and tangential sources, the two methods are complementary. Over the years, neurophysiological studies have changed considerably: high-density recordings are becoming de rigueur; there is interest in both spontaneous and evoked activity; and sophisticated artifact detection and removal methods are available. Improved head models for source estimation have also increased the precision of the current estimates, particularly for EEG and combined EEG/MEG. Because of their complementarity, more investigators are beginning to perform simultaneous EEG/MEG studies to gain more complete information about neural activity. Given the increase in methodological complexity in EEG/MEG, it is important to gather data that are of high quality and that are as artifact free as possible. Here, we discuss some issues in data acquisition and analysis of EEG and MEG data. Practical considerations for different types of EEG and MEG studies are also discussed.
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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.