Sign in
NeuroscienceNeuroImage
Peer-reviewed journal article

Imaging human cortical responses to intraneural microstimulation using magnetoencephalography

George C. O’NeilliD, Roger Holmes WatkinsiD, Rochelle AckerleyiD, Eleanor L. Barratt, Ayan SenguptaiD, Michael AsghariD, Rosa Maria Sanchez Panchuelo, Matthew J. BrookesiD, Paul M. GloveriD, Johan WessbergiD, Susan FrancisiD

Abstract

The sensation of touch in the glabrous skin of the human hand is conveyed by thousands of fast-conducting mechanoreceptive afferents, which can be categorised into four distinct types. The spiking properties of these afferents in the periphery in response to varied tactile stimuli are well-characterised, but relatively little is known about the spatiotemporal properties of the neural representations of these different receptor types in the human cortex. Here, we use the novel methodological combination of single-unit intraneural microstimulation (INMS) with magnetoencephalography (MEG) to localise cortical representations of individual touch afferents in humans, by measuring the extracranial magnetic fields from neural currents. We found that by assessing the modulation of the beta (13-30 Hz) rhythm during single-unit INMS, significant changes in oscillatory amplitude occur in the contralateral primary somatosensory cortex within and across a group of fast adapting type I mechanoreceptive 20 afferents, which corresponded well to the induced response from matched vibrotactile stimulation. Combining the spatiotemporal specificity of MEG with the selective single-unit stimulation of INMS enables the interrogation of the central representations of different aspects of tactile afferent signalling within the human cortices. The fundamental finding that single-unit INMS ERD responses are robust and consistent with natural somatosensory stimuli will permit us to more dynamically probe the central nervous system responses in humans, to address questions about the processing of touch from the different classes of mechanoreceptive afferents and the effects of varying the stimulus frequency and patterning.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISShelchkova '23Thorpe '24Mikulan '26Liu '26Yun '23Norrlid '20
73% semantic matchNeuroscience
Natalya D. Shelchkova, John E. Downey, Charles M. Greenspon+18 more·Nature Communications·Nov 10, 2023· 64 citations