• Low-frequency tRNS combined with dynamic visual noise improves visual processing in a Journal of Neuroscience study.1
  • The finding is relevant to transcranial stimulation and sensory enhancement and informs mechanisms and methods for implementation.1 1

Weekly enrichment (2026-07-20)

  • The source study is “The Hidden Benefits of Noise: Low-Frequency tRNS and Dynamic Visual Noise Enhance Visual Processing,” published in The Journal of Neuroscience 2025 (vol. 45, issue 48) by a Gazi University–University of Bologna group including İrem Akdoğan and Andrea Pavan.2 3
  • It compared three external noise sources—high-frequency tRNS (hf-tRNS), low-frequency tRNS (lf-tRNS), and dynamic visual noise (DVN)—on visual contrast detection within a single unified framework.2
  • Across three experiments with 149 participants total, all three noise types improved detection performance at participant-specific optimal intensities.2 4
  • Benefits were largest for subthreshold stimuli and for participants with lower baseline sensitivity, consistent with a compensatory (stochastic-resonance) role of external noise when perceptual encoding is weak.2
  • The paper reports the first evidence of stochastic-resonance-like benefits from lf-tRNS, challenging prior assumptions that only high-frequency electrical noise enhances visual performance.2 4
  • DVN was deliberately engineered to mirror the spatiotemporal characteristics of tRNS, enabling a systematic comparison of cortical-level (electrical) versus sensory-level (visual) noise.2
  • The authors used an individualized analytical approach to account for variability in each participant’s internal noise, arguing that optimal stimulation intensity is subject-specific rather than fixed.2 3
  • For neuromodulation and EEG-based BCI, the findings suggest low-frequency and sensory noise are viable noninvasive tools for perceptual enhancement, but effects hinge on individualized dosing rather than a one-size-fits-all protocol.2

Footnotes

  1. https://news.google.com/rss/articles/CBMiYEFVX3lxTFBuM21Mb2Z1U1JvMWJpODhHYmRPbTJjb3VWa0lKS3VzcFAxWktkTm5iSnlRSUpWTTdnQnktMWtsYmszRmdJVmcwSk9YSzJ6YXdpU1FsQTB2anBXaHpKQVlQNw?oc=5 2 3

  2. https://doi.org/10.1523/jneurosci.0853-25.2025 2 3 4 5 6 7 8

  3. https://cris.unibo.it/handle/11585/1029977 2

  4. https://pubmed.ncbi.nlm.nih.gov/41167815/ 2