Characterising modulatory effects of high-intensity high frequency transcranial random noise stimulation using the perceptual template model

Gotsis, Stephanie, van Boxtel, Jeroen J. A., Teufel, Christoph ORCID: https://orcid.org/0000-0003-3915-9716, Edwards, Mark and Christensen, Bruce K. 2023. Characterising modulatory effects of high-intensity high frequency transcranial random noise stimulation using the perceptual template model. Neuropsychologia 191 , 108703. 10.1016/j.neuropsychologia.2023.108703

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Abstract

Neural noise is an inherent property of all nervous systems. However, our understanding of the mechanisms by which noise influences perception is still limited. To elucidate this relationship, we require techniques that can safely modulate noise in humans. Transcranial random noise stimulation (tRNS) has been proposed to induce noise into cortical processing areas according to the principles of stochastic resonance (SR). Specifically, it has been demonstrated that small to moderate intensities of noise improve performance. To date, however, high intensity tRNS effects on neural noise levels have not been directly quantified, nor have the detrimental effects proposed by SR been demonstrated in early visual function. Here, we applied 3 mA high-frequency tRNS to primary visual cortex during an orientation-discrimination task across increasing external noise levels and used the Perceptual Template Model to quantify the mechanisms by which noise changes perceptual performance in healthy observers. Results show that, at a group level, high-intensity tRNS worsened perceptual performance. Our computational analysis reveals that this change in performance was underpinned by an increased amount of additive noise and a reduced ability to filter external noise compared to sham stimulation. Interestingly, while most observers experienced detrimental effects, a subset of participants demonstrated improved performance. Preliminary evidence suggests that differences in baseline internal noise levels might account for these individual differences. Together, these results refine our understanding of the mechanisms underlying the influence of neural noise on perception and have important implications for the application of tRNS as a research tool.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Psychology
Additional Information:	License information from Publisher: LICENSE 1: URL: http://creativecommons.org/licenses/by-nc/4.0/, Start Date: 2023-10-18
Publisher:	Elsevier
ISSN:	0028-3932
Date of First Compliant Deposit:	24 October 2023
Date of Acceptance:	10 October 2023
Last Modified:	23 Nov 2023 14:49
URI:	https://orca.cardiff.ac.uk/id/eprint/163422

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