ArticleFrontiers in human neuroscience2022
Localization of beta power decrease as measure for lateralization in pre-surgical language mapping with magnetoencephalography, compared with functional magnetic resonance imaging and validated by Wada test.
Article in Frontiers in human neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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.
The trial behind it
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Who cites it
7 citing papers in PubMed, 8 citations in OpenAlex.
- Functional identification of language-responsive sensors in individual participants in MEG investigations.Journal of neurophysiology · 2026Article
- Determining hemispheric language dominance from MEG beta-power modulations: Concordance with fMRI.NeuroImage · 2026Article
- Developmental disinhibition gates language lateralization in childhood.Nature communications · 2026Article
- Reliability of magnetoencephalography beta desynchronization for language lateralization in a subsequent memory effect paradigm.Clinical neurophysiology practice · 2026Article
- Comparison of lateralization and spatial patterns of hemodynamic and neuromagnetic language brain mapping.Clinical neurophysiology practice · 2025Article
- A powerful metric for expressive language lateralization in MEG.Neuroscience letters · 2024Article
- Beta bursts spatiotemporal profiles and their links to hemodynamic responses during movement and rest.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
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Authors and funding
13 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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.