ArticleBMC neuroscience2009
The relationship between magnetic and electrophysiological responses to complex tactile stimuli.
Article in BMC neuroscience, 2009. 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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Who cites it
15 citing papers in PubMed.
- Magnetoencephalography Reveals Neuroprotection of COVID-19 Vaccination in Nonhuman Primates.Vaccines · 2026Article
- Neurophysiological signatures of cortical micro-architecture.Nature communications · 2023Article
- Neurophysiological signatures of cortical micro-architecture.bioRxiv : the preprint server for biology · 2023Article
- Dynamic Functional Network Connectivity in Schizophrenia with Magnetoencephalography and Functional Magnetic Resonance Imaging: Do Different Timescales Tell a Different Story?Brain connectivity · 2019Article
- Vibrotactile piezoelectric stimulation system with precise and versatile timing control for somatosensory research.Journal of neuroscience methods · 2019Article
- Neurovascular Coupling During Visual Stimulation in Multiple Sclerosis: A MEG-fMRI Study.Neuroscience · 2019Article
- High Spatiotemporal Resolution ECoG Recording of Somatosensory Evoked Potentials with Flexible Micro-Electrode Arrays.Frontiers in neural circuits · 2017Article
- Neural mechanisms of transient neocortical beta rhythms: Converging evidence from humans, computational modeling, monkeys, and mice.Proceedings of the National Academy of Sciences of the United States of America · 2016Article
- Auditory evoked fields measured noninvasively with small-animal MEG reveal rapid repetition suppression in the guinea pig.Journal of neurophysiology · 2014Article
- Cortical regulation of dopaminergic neurons: role of the midbrain superior colliculus.Journal of neurophysiology · 2014Article
- Interaction of finger representations in the cortex of individuals with autism: a functional window into cortical inhibition.Autism research : official journal of the International Society for Autism Research · 2013Article
- Neuronal avalanches in the resting MEG of the human brain.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2013Article
- Distinguishing mechanisms of gamma frequency oscillations in human current source signals using a computational model of a laminar neocortical network.Frontiers in human neuroscience · 2013Article
- MEG in the macaque monkey and human: distinguishing cortical fields in space and time.Brain research · 2010Article
- Quantitative analysis and biophysically realistic neural modeling of the MEG mu rhythm: rhythmogenesis and modulation of sensory-evoked responses.Journal of neurophysiology · 2009Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
backgroundMagnetoencephalography (MEG) has become an increasingly popular technique for non-invasively characterizing neuromagnetic field changes in the brain at a high temporal resolution. To examine the reliability of the MEG signal, we compared magnetic and electrophysiological responses to complex natural stimuli from the same animals. We examined changes in neuromagnetic fields, local field potentials (LFP) and multi-unit activity (MUA) in macaque monkey primary somatosensory cortex that were induced by varying the rate of mechanical stimulation. Stimuli were applied to the fingertips with three inter-stimulus intervals (ISIs): 0.33s, 1s and 2s.
resultsSignal intensity was inversely related to the rate of stimulation, but to different degrees for each measurement method. The decrease in response at higher stimulation rates was significantly greater for MUA than LFP and MEG data, while no significant difference was observed between LFP and MEG recordings. Furthermore, response latency was the shortest for MUA and the longest for MEG data.
conclusionThe MEG signal is an accurate representation of electrophysiological responses to complex natural stimuli. Further, the intensity and latency of the MEG signal were better correlated with the LFP than MUA data suggesting that the MEG signal reflects primarily synaptic currents rather than spiking activity. These differences in latency could be attributed to differences in the extent of spatial summation and/or differential laminar sensitivity.
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