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</script>Transcranial random noise stimulation (tRNS) over cortical areas has been shown to acutely improve performance in sensory detection tasks. One explanation for this behavioral effect is stochastic resonance (SR), a mechanism that explains how signal processing in nonlinear systems can benefit from added noise. While acute noise benefits of electrical RNS have been demonstrated at the behavioral level as well as inin vitropreparations of neural tissue, it is currently largely unknown whether similar effects can be shown at the neural population level using neurophysiological readouts of human cortex. Here, we hypothesized that acute tRNS will increase the responsiveness of primary motor cortex (M1) when probed with transcranial magnetic stimulation (TMS). Neural responsiveness was operationalized via the well-known concept of the resting motor threshold (RMT). We showed that tRNS acutely decreases RMT. This effect was small, but it was consistently replicated across four experiments including different cohorts (totalN= 81, 46 females, 35 males), two tRNS electrode montages, and different control conditions. Our experiments provide critical neurophysiological evidence that tRNS can acutely generate noise benefits by enhancing the neural population response of human M1.SIGNIFICANCE STATEMENTA hallmark feature of stochastic resonance (SR) is that signal processing can benefit from added noise. This has mainly been demonstrated at the single-cell levelin vitrowhere the neural response to weak input signals can be enhanced by simultaneously applying random noise. Our finding that transcranial random noise stimulation (tRNS) acutely increases the excitability of corticomotor circuits extends the principle of noise benefits to the neural population level in human cortex. Our finding is in line with the notion that tRNS might affect cortical processing via the SR phenomenon. It suggests that enhancing the response of cortical populations to an external stimulus might be one neurophysiological mechanism mediating performance improvements when tRNS is applied to sensory cortex during perception tasks.
Adult, Cerebral Cortex, Male, Stochastic Processes, Adolescent, Electromyography, Motor Cortex, Sensation, Middle Aged, Evoked Potentials, Motor, Efferent Pathways, Transcranial Magnetic Stimulation, Young Adult, Acoustic Stimulation, Sensory Thresholds, Neuromodulation; Neurophysiology; NIBS; noise; Sensorimotor system; transcranial electrical; stimulation, Humans, Female, Noise, Algorithms
Adult, Cerebral Cortex, Male, Stochastic Processes, Adolescent, Electromyography, Motor Cortex, Sensation, Middle Aged, Evoked Potentials, Motor, Efferent Pathways, Transcranial Magnetic Stimulation, Young Adult, Acoustic Stimulation, Sensory Thresholds, Neuromodulation; Neurophysiology; NIBS; noise; Sensorimotor system; transcranial electrical; stimulation, Humans, Female, Noise, Algorithms
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 21 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
