ReviewBrain sciences2019
Magnetic Source Imaging and Infant MEG: Current Trends and Technical Advances.
Review in Brain sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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
9 citing papers in PubMed.
- Time-efficient Methodology for Robustly Assessing Speech-related Mismatch Responses in Adults and Infants.Journal of cognitive neuroscience · 2026Article
- Article
- Pushing the boundaries of MEG based on optically pumped magnetometers towards early human life.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- High resource neuroscience research: use and interpret with care.Pediatric research · 2025Article
- Applications and advances of combined fMRI-fNIRs techniques in brain functional research.Frontiers in neurology · 2025Review
- From behavioral synchrony to language and beyond.Frontiers in integrative neuroscience · 2024Review
- Infant brain imaging using magnetoencephalography: Challenges, solutions, and best practices.Human brain mapping · 2022Article
- Structural templates for imaging EEG cortical sources in infants.NeuroImage · 2021Article
- Multi-View Based Multi-Model Learning for MCI Diagnosis.Brain sciences · 2020Article
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.
Funding
Abstract
Magnetoencephalography (MEG) is known for its temporal precision and good spatial resolution in cognitive brain research. Nonetheless, it is still rarely used in developmental research, and its role in developmental cognitive neuroscience is not adequately addressed. The current review focuses on the source analysis of MEG measurement and its potential to answer critical questions on neural activation origins and patterns underlying infants' early cognitive experience. The advantages of MEG source localization are discussed in comparison with functional magnetic resonance imaging (fMRI) and functional near-infrared spectroscopy (fNIRS), two leading imaging tools for studying cognition across age. Challenges of the current MEG experimental protocols are highlighted, including measurement and data processing, which could potentially be resolved by developing and improving both software and hardware. A selection of infant MEG research in auditory, speech, vision, motor, sleep, cross-modality, and clinical application is then summarized and discussed with a focus on the source localization analyses. Based on the literature review and the advancements of the infant MEG systems and source analysis software, typical practices of infant MEG data collection and analysis are summarized as the basis for future developmental cognitive research.
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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.