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It is well known that applying transcranial alternating current stimulation (tACS) to the scalp can generate artefactual visual perceptions of flashing or shimmering light known as phosphenes. The thresholds for generating these phosphenes have been used by international standards bodies to provide conservative estimates of the field strength required to interfere with human neural functioning and set safety limits accordingly. However, the precise relationship between electric currents and phosphene perception thresholds remains uncertain. The present study used tACS to systematically investigate the effects of the location and the frequency of stimulation on phosphene perception thresholds. These thresholds were obtained from 24 participants using a within-subject design as a function of scalp stimulation sites (FPz-Cz versus Oz-Cz) and stimulation frequency (2-30 Hz in steps of 2 Hz). Phosphene perception thresholds were consistently lower for FPz-Cz stimulation, and regardless of tACS location were lowest for 16 Hz stimulation. Threshold variation between participants was very small, which is meaningful when setting standards based on phosphenes. Bioelectromagnetics. 2019;40:365-374. © 2019 Bioelectromagnetics Society.
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http://dx.doi.org/10.1002/bem.22209 | DOI Listing |
Eye Brain
August 2025
Department of Neuro-Ophthalmology, Rothschild Foundation Hospital, Paris, France.
Background: Over the past few decades, technological advancements have transformed invasive visual prostheses from theoretical concepts into real-world applications. However, functional outcomes remain limited, especially in visual acuity. This review aims to summarize current developments in retinal and cortical prostheses (RCPs) and critically assess the role of artificial intelligence (AI) in advancing these systems.
View Article and Find Full Text PDFJ Neural Eng
July 2025
Department of Computer Science, University of California, Santa Barbara, CA 93106, United States of America.
Spatial scheduling of electrode activation ('rastering') is essential for safely operating high-density retinal implants, yet its perceptual consequences remain poorly understood. This study systematically evaluates the impact of raster patterns, or spatial arrangements of sequential electrode activation, on performance and perceived difficulty in simulated prosthetic vision (SPV). By addressing this gap, we aimed to identify patterns that optimize functional vision in retinal implants.
View Article and Find Full Text PDFSci Rep
July 2025
Human Threshold Research Group, Lawson Research Institute, London, ON, Canada.
Human exposure to extremely low-frequency (< 300 Hz) electric/magnetic fields elicits a stroboscopic visual perception called electro/magneto phosphenes. The induction of phosphenes is the most exhaustively documented effect of in-situ electric fields. Thus, they are used by international guidelines as the basis for limiting human exposure to extremely low-frequency electric and magnetic fields.
View Article and Find Full Text PDFJ Neural Eng
July 2025
Institute of Bioengineering, University Miguel Hernández, Elche, Spain.
The challenge in cortical neuroprosthetic vision is determining the optimal, safe stimulation patterns to evoke the desired light perceptions ('phosphenes') in blind individuals. Clinical studies gain insights into the perceptual characteristics of phosphenes through patient descriptions on provided stimulation protocols. However, the huge parameter space for multi-electrode stimulation makes it difficult to identify the optimality of the stimulation that lead to well-perceived phosphenes.
View Article and Find Full Text PDFJ Neural Eng
July 2025
Department of Machine Learning and Neural Computing, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.
Direct electrical stimulation of the brain via cortical visual neuroprostheses is a promising approach to restore basic sight for the visually impaired by inducing a percept of localized light called 'phosphenes'. Apart from the challenge of condensing complex sensory information into meaningful stimulation patterns at low temporal and spatial resolution, providing safe stimulation levels to the brain is crucial.We propose an end-to-end framework to learn optimal stimulation parameters (amplitude, pulse width and frequency) within safe biological constraints.
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