ArticleHuman brain mapping2022
Infant brain imaging using magnetoencephalography: Challenges, solutions, and best practices.
Article in Human brain mapping, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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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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Who cites it
15 citing papers in PubMed, 20 citations in OpenAlex.
- Implicitly tuned: The neural effects of social feedback on adolescent learning.Developmental cognitive neuroscience · 2026Article
- Magnetoencephalography in human neuroscience research: planning, piloting, implementation and quality assurance.Nature protocols · 2026Review
- Bridging the gap: Translating fetal, infant, and toddler neuroimaging insights into clinical practice.Developmental cognitive neuroscience · 2026Review
- Revolutionizing Pediatric Neurophysiology With Magnetoencephalography.Psychophysiology · 2026Review
- Article
- Expanding the toolkit: OPMs for studying the developing brain.Imaging neuroscience (Cambridge, Mass.) · 2026Review
- Automatic Removal of Physiological Artifacts in OPM-MEG: A Framework of Channel Attention Mechanism Based on Magnetic Reference Signal.Biosensors · 2025Article
- Significant interactions in infant operculum regions when exposed to a bilingual environment: a resting-state fNIRS study.Neurophotonics · 2025Article
- Pseudo-MRI Engine for MRI-Free Electromagnetic Source Imaging.Human brain mapping · 2025Article
- Neural signals, machine learning, and the future of inner speech recognition.Frontiers in human neuroscience · 2025Review
- Pushing the boundaries of MEG based on optically pumped magnetometers towards early human life.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Validating a novel paradigm for simultaneously assessing mismatch response and frequency-following response to speech sounds.Journal of neuroscience methods · 2024Article
- Infant neuroscience: how to measure brain activity in the youngest minds.Trends in neurosciences · 2024Review
- Infants' brain responses to social interaction predict future language growth.Current biology : CB · 2024Article
- Infant brain imaging using magnetoencephalography: Challenges, solutions, and best practices.Human brain mapping · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
The excellent temporal resolution and advanced spatial resolution of magnetoencephalography (MEG) makes it an excellent tool to study the neural dynamics underlying cognitive processes in the developing brain. Nonetheless, a number of challenges exist when using MEG to image infant populations. There is a persistent belief that collecting MEG data with infants presents a number of limitations and challenges that are difficult to overcome. Due to this notion, many researchers either avoid conducting infant MEG research or believe that, in order to collect high-quality data, they must impose limiting restrictions on the infant or the experimental paradigm. In this article, we discuss the various challenges unique to imaging awake infants and young children with MEG, and share general best-practice guidelines and recommendations for data collection, acquisition, preprocessing, and analysis. The current article is focused on methodology that allows investigators to test the sensory, perceptual, and cognitive capacities of awake and moving infants. We believe that such methodology opens the pathway for using MEG to provide mechanistic explanations for the complex behavior observed in awake, sentient, and dynamically interacting infants, thus addressing core topics in developmental cognitive neuroscience.
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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.