ArticleBMC neuroscience2022
Theoretical analysis of effects of transcranial magneto-acoustical stimulation on neuronal spike-frequency adaptation.
Article in BMC neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- A Multi-Channel AM-TMAS Driving System Based on Amplitude-Modulated Sine Waves.Bioengineering (Basel, Switzerland) · 2026Article
- The simulation and experimental validation of a novel noninvasive multi-target electrical stimulation method.Scientific reports · 2025Article
- Advancing Neuroscience and Therapy: Insights into Genetic and Non-Genetic Neuromodulation Approaches.Cells · 2025Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTranscranial magneto-acoustical stimulation (TMAS) is a noninvasive technique that has advantages in spatial resolution and penetration depth. It changes the firing properties of neurons through the current generated by focused ultrasound and a static magnetic field. Spike-frequency adaptation is an important dynamic characteristic of neural information processing.
methodsTo address the effects of TMAS on neural spike-frequency adaptation, this study employs some ultrasound and magnetic field parameters, such as magnetic flux density, ultrasonic intensity, fundamental ultrasonic frequency, modulation frequency, and duty cycle. Using these different ultrasound and magnetic field parameters, membrane potential curves, spike-frequency curves, and adapted onset spike-frequency curves are exhibited and analyzed.
resultsThe results show that spike-frequency adaptation is strongly dependent on ultrasonic intensity and magnetic flux density and is rarely affected by other parameters. However, modulation frequency and duty cycle influence membrane potentials and spike frequencies to some degree.
conclusionsThis study reveals the mechanism of the effects of TMAS on neural spike-frequency adaptation and serves as theoretical guidance for TMAS experiments.
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