ReviewBrain sciences2022
A Brief Introduction to Magnetoencephalography (MEG) and Its Clinical Applications.
Review in Brain sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.
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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
35 citing papers in PubMed, 2 syntheses or guidelines pooled it, 82 citations in OpenAlex.
- Neurophysiological alterations during sensory processing in autism - a meta-analysis.European child & adolescent psychiatry · 2026Pooled it
- Diagnostic performance of neuroimaging modalities for epileptogenic focus localization: A systematic review.Epilepsia open · 2026Pooled it
- In vivo magnetic recording of neuronal action potentials using a differential TMR magnetrode.Microsystems & nanoengineering · 2026Article
- Emerging paradigms in connectome-guided neurosurgery for central nervous system tumors: a narrative review of structural and functional connectomics.Annals of medicine and surgery (2012) · 2026Review
- Neuromagnetism "On the Cheap": Evaluating a Combined Cylindrical Shield and Partial-Coverage OPM-MEG System for Detecting Sensorimotor Responses in Humans.Sensors (Basel, Switzerland) · 2026Article
- An advanced TMR sensor-based magnetrode for in vivo LFP magnetic field recording.Microsystems & nanoengineering · 2026Article
- Effects of Age on Resting-State Cortical Networks.Human brain mapping · 2026Article
- Macrophage polarization in inflammatory regulation: molecular mechanisms, therapeutic targets, and translational challenges.Cellular and molecular life sciences : CMLS · 2026Review
- Neuro-cortical signatures of attention in uni- and multi-sensory audio-visual processing in children.Neuroscience · 2026Article
- Resonant core-shell magnetoelectric nanoparticles as sensors of neural magnetic activity: a computational study.Bioelectronic medicine · 2026Article
- Unlocking Comprehensive Epilepsy Care: The Dual Promise of Magnetoencephalography.Journal of epilepsy research · 2025Article
- Multiscale Permutation Time Irreversibility Analysis of MEG in Patients with Schizophrenia.Entropy (Basel, Switzerland) · 2025Article
- Qualitative and Quantitative Comparative Analysis of Common Normal Variants and Physiological Artifacts in MEG and EEG.Brain topography · 2025Article
- Mobile human brain imaging using functional ultrasound.Science advances · 2025Article
- Neural Electrical Correlates of Subjective Happiness.Human brain mapping · 2025Article
- AI-powered remote monitoring of brain responses to clear and incomprehensible speech via speckle pattern analysis.Journal of biomedical optics · 2025Article
- Aperiodic neural dynamics define a novel signature of glioma-induced excitation-inhibition dysregulation.bioRxiv : the preprint server for biology · 2025Article
- Advances in Neuroimaging and Deep Learning for Emotion Detection: A Systematic Review of Cognitive Neuroscience and Algorithmic Innovations.Diagnostics (Basel, Switzerland) · 2025Review
- The Use of Magnetoencephalography in the Diagnosis and Monitoring of Mild Traumatic Brain Injuries and Post-Concussion Syndrome.Brain sciences · 2025Review
- Neurostimulation for the Management of Epilepsy: Advances in Targeted Therapy.Current drug targets · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 3 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Magnetoencephalography (MEG) plays a pivotal role in the diagnosis of brain disorders. In this review, we have investigated potential MEG applications for analysing brain disorders. The signal-to-noise ratio (SNRMEG = 2.2 db, SNREEG < 1 db) and spatial resolution (SRMEG = 2−3 mm, SREEG = 7−10 mm) is higher for MEG than EEG, thus MEG potentially facilitates accurate monitoring of cortical activity. We found that the direct electrophysiological MEG signals reflected the physiological status of neurological disorders and play a vital role in disease diagnosis. Single-channel connectivity, as well as brain network analysis, using MEG data acquired during resting state and a given task has been used for the diagnosis of neurological disorders such as epilepsy, Alzheimer’s, Parkinsonism, autism, and schizophrenia. The workflow of MEG and its potential applications in the diagnosis of disease and therapeutic planning are also discussed. We forecast that computer-aided algorithms will play a prominent role in the diagnosis and prediction of neurological diseases in the future. The outcome of this narrative review will aid researchers to utilise MEG in diagnostics.
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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 Socratic graph.