ArticleScientific reports2016
Opposite effects of high- and low-frequency transcranial random noise stimulation probed with visual motion adaptation.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
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Who cites it
19 citing papers in PubMed.
- The Hidden Benefits of Noise: Low-Frequency tRNS and Dynamic Visual Noise Enhance Visual Processing.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- No facilitatory effects of transcranial random noise stimulation on motion processing: A registered report.Cortex; a journal devoted to the study of the nervous system and behavior · 2025Article
- Dissociable components of visual perceptual learning characterized by non-invasive brain stimulation: Stage 1 Registered Report.Brain communications · 2025Article
- Modulating excitation/inhibition balance through transcranial electrical stimulation: physiological mechanisms in animal models.Frontiers in neuroscience · 2025Review
- Can visual cortex non-invasive brain stimulation improve normal visual function? A systematic review and meta-analysis.Frontiers in neuroscience · 2023Review
- Towards causal mechanisms of consciousness through focused transcranial brain stimulation.Neuroscience of consciousness · 2023Review
- Random noise stimulation in the treatment of patients with neurological disorders.Neural regeneration research · 2022Review
- Cerebellar transcranial current stimulation - An intraindividual comparison of different techniques.Frontiers in neuroscience · 2022Article
- Electrophysiological aftereffects of high-frequency transcranial random noise stimulation (hf-tRNS): an EEG investigation.Experimental brain research · 2021Article
- The effects of direct current stimulation and random noise stimulation on attention networks.Scientific reports · 2021Article
- Speech Fluency Improvement in Developmental Stuttering Using Non-invasive Brain Stimulation: Insights From Available Evidence.Frontiers in human neuroscience · 2021Review
- Systemic Review on Transcranial Electrical Stimulation Parameters and EEG/fNIRS Features for Brain Diseases.Frontiers in neuroscience · 2021Review
- Modification of Eye-Head Coordination With High Frequency Random Noise Stimulation.Frontiers in human neuroscience · 2020Article
- A Causal Role of Area hMST for Self-Motion Perception in Humans.Cerebral cortex communications · 2020Article
- Transcranial random noise stimulation (tRNS): a wide range of frequencies is needed for increasing cortical excitability.Scientific reports · 2019Article
- Patching and Suppression in Amblyopia: One Mechanism or Two?Frontiers in neuroscience · 2019Article
- Transcranial electrical stimulation (tES) mechanisms and its effects on cortical excitability and connectivity.Journal of inherited metabolic disease · 2018Review
- Using High Frequency Transcranial Random Noise Stimulation to Modulate Face Memory Performance in Younger and Older Adults: Lessons Learnt From Mixed Findings.Frontiers in neuroscience · 2018Article
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Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Transcranial random noise stimulation (tRNS) is a recent neuro-modulation technique whose effects at both behavioural and neural level are still debated. Here we employed the well-known phenomenon of motion after-effect (MAE) in order to investigate the effects of high- vs. low-frequency tRNS on motion adaptation and recovery. Participants were asked to estimate the MAE duration following prolonged adaptation (20 s) to a complex moving pattern, while being stimulated with either sham or tRNS across different blocks. Different groups were administered with either high- or low-frequency tRNS. Stimulation sites were either bilateral human MT complex (hMT
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.