ArticleNeuroImage2018
Non-invasive laminar inference with MEG: Comparison of methods and source inversion algorithms.
Article in NeuroImage, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed.
- Multilayer MEG source modelling enables depth-resolved laminar inference in humans.Nature communications · 2026Article
- Testing circuit-level theories of consciousness in humans.Trends in cognitive sciences · 2026Review
- Sensory sharpening and semantic prediction errors unify competing models of predictive processing in human speech comprehension.PLoS biology · 2026Article
- Spiking neural networks provide accurate and time-efficient models for whisker stimulus classification of the awake mouse.Frontiers in neuroscience · 2026Article
- SPM-30 years and beyond.Cerebral cortex (New York, N.Y. : 1991) · 2025Review
- Superconducting Quantum Magnetometers for Brain Investigations.Sensors (Basel, Switzerland) · 2025Review
- How Layer-Specific fMRI Can Contribute to Understanding Perceptual Disturbances Across Psychiatric Disorders.Current topics in behavioral neurosciences · 2025Review
- Inferring laminar origins of MEG signals with optically pumped magnetometers (OPMs): A simulation study.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Novel approaches to EEG and MEG in motor neurone disease: IFCN Handbook Chapter.Clinical neurophysiology practice · 2025Review
- Neuronal Modeling of Cross-Sensory Visual Evoked Magnetoencephalography Responses in the Auditory Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Neuronal modeling of magnetoencephalography responses in auditory cortex to auditory and visual stimuli.bioRxiv : the preprint server for biology · 2024Article
- Laminar specificity of the auditory perceptual awareness negativity: A biophysical modeling study.PLoS computational biology · 2023Article
- Laminar Specificity of the Auditory Perceptual Awareness Negativity: A Biophysical Modeling Study.bioRxiv : the preprint server for biology · 2023Article
- Cortical depth profiles of auditory and visual 7 T functional MRI responses in human superior temporal areas.Human brain mapping · 2023Article
- Magnetoencephalography with optically pumped magnetometers (OPM-MEG): the next generation of functional neuroimaging.Trends in neurosciences · 2022Review
- The promise of layer-specific neuroimaging for testing predictive coding theories of psychosis.Schizophrenia research · 2022Review
- On-scalp magnetocorticography with optically pumped magnetometers: Simulated performance in resolving simultaneous sources.Neuroimage. Reports · 2022Article
- Electrocorticographic evidence of a common neurocognitive sequence for mentalizing about the self and others.Nature communications · 2022Article
- Somatosensory Evoked Potentials Reveal Reduced Embodiment of Emotions in Autism.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Toward biophysical markers of depression vulnerability.Frontiers in psychiatry · 2022Article
Corrections and comments
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9 authors.
Funding
Abstract
Magnetoencephalography (MEG) is a direct measure of neuronal current flow; its anatomical resolution is therefore not constrained by physiology but rather by data quality and the models used to explain these data. Recent simulation work has shown that it is possible to distinguish between signals arising in the deep and superficial cortical laminae given accurate knowledge of these surfaces with respect to the MEG sensors. This previous work has focused around a single inversion scheme (multiple sparse priors) and a single global parametric fit metric (free energy). In this paper we use several different source inversion algorithms and both local and global, as well as parametric and non-parametric fit metrics in order to demonstrate the robustness of the discrimination between layers. We find that only algorithms with some sparsity constraint can successfully be used to make laminar discrimination. Importantly, local t-statistics, global cross-validation and free energy all provide robust and mutually corroborating metrics of fit. We show that discrimination accuracy is affected by patch size estimates, cortical surface features, and lead field strength, which suggests several possible future improvements to this technique. This study demonstrates the possibility of determining the laminar origin of MEG sensor activity, and thus directly testing theories of human cognition that involve laminar- and frequency-specific mechanisms. This possibility can now be achieved using recent developments in high precision MEG, most notably the use of subject-specific head-casts, which allow for significant increases in data quality and therefore anatomically precise MEG recordings. SECTION: Analysis methods. CLASSIFICATIONS: Source localization: inverse problem; Source localization: other.
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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.