ArticleHuman brain mapping2021
A systematic evaluation of source reconstruction of resting MEG of the human brain with a new high-resolution atlas: Performance, precision, and parcellation.
Article in Human brain mapping, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed, 48 citations in OpenAlex.
- Varying patterns of association between cortical large-scale networks and subthalamic nucleus activity in Parkinson's disease.NPJ Parkinson's disease · 2026Article
- Divergence of cortical neurophysiology across different neurodegenerative disorders compared to healthy ageing.Progress in neurobiology · 2026Article
- Functional brain network organization during the 40-Hz auditory steady-state response in children with and without autism spectrum disorder.Frontiers in psychiatry · 2026Article
- The aftermath of trauma on resting state source-level MEG microstate dynamics.European journal of psychotraumatology · 2025Article
- Exploring Deep Magnetoencephalography via Thalamo-Cortical Sleep Spindles.Human 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
- GREEN: A lightweight architecture using learnable wavelets and Riemannian geometry for biomarker exploration with EEG signals.Patterns (New York, N.Y.) · 2025Article
- Baseline-dependent network reactivity to visual input in children with autism spectrum disorder: a magnetoencephalography study.Frontiers in psychiatry · 2025Article
- Genetic fingerprinting with heritable phenotypes of the resting-state brain network topology.Communications biology · 2024Article
- Left motor cortex contributes to auditory phonological discrimination.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Magnetoencephalography Atlas Viewer for Dipole Localization and Viewing.Journal of imaging · 2024Article
- Oscillatory characteristics of resting-state magnetoencephalography reflect pathological and symptomatic conditions of cognitive impairment.Frontiers in aging neuroscience · 2024Article
- Mindfulness meditation styles differently modulate source-level MEG microstate dynamics and complexity.Frontiers in neuroscience · 2024Article
- From bench to bedside: Overview of magnetoencephalography in basic principle, signal processing, source localization and clinical applications.NeuroImage. Clinical · 2024Review
- Changes in high-frequency aperiodic 1/f slope and periodic activity reflect post-stimulus functional inhibition in the visual cortex.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- The temporal dynamics of Large-Scale brain network changes in disorders of consciousness: A Microstate-Based study.CNS neuroscience & therapeutics · 2023Article
- Article
- NLGC: Network localized Granger causality with application to MEG directional functional connectivity analysis.NeuroImage · 2022Article
- The interindividual variability of multimodal brain connectivity maintains spatial heterogeneity and relates to tissue microstructure.Communications biology · 2022Article
- Globally elevated excitation-inhibition ratio in children with autism spectrum disorder and below-average intelligence.Molecular autism · 2022Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Noninvasive functional neuroimaging of the human brain can give crucial insight into the mechanisms that underpin healthy cognition and neurological disorders. Magnetoencephalography (MEG) measures extracranial magnetic fields originating from neuronal activity with high temporal resolution, but requires source reconstruction to make neuroanatomical inferences from these signals. Many source reconstruction algorithms are available, and have been widely evaluated in the context of localizing task-evoked activities. However, no consensus yet exists on the optimum algorithm for resting-state data. Here, we evaluated the performance of six commonly-used source reconstruction algorithms based on minimum-norm and beamforming estimates. Using human resting-state MEG, we compared the algorithms using quantitative metrics, including resolution properties of inverse solutions and explained variance in sensor-level data. Next, we proposed a data-driven approach to reduce the atlas from the Human Connectome Project's multi-modal parcellation of the human cortex based on metrics such as MEG signal-to-noise-ratio and resting-state functional connectivity gradients. This procedure produced a reduced cortical atlas with 230 regions, optimized to match the spatial resolution and the rank of MEG data from the current generation of MEG scanners. Our results show that there is no "one size fits all" algorithm, and make recommendations on the appropriate algorithms depending on the data and aimed analyses. Our comprehensive comparisons and recommendations can serve as a guide for choosing appropriate methodologies in future studies of resting-state MEG.
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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.