ArticleNature communications2025
A midbrain circuit mechanism for noise-induced negative valence coding.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed.
- Long-term pop music exposure impairs production and reproductive performance in laying hens via neural and oxidative stress pathways.Poultry science · 2026Article
- Article
- Deep brain reconditioning stimulation suppresses tinnitus in a rat model.Scientific reports · 2026Article
- EEG Spectral Analysis of Tinnitus Sound Therapy: Meta-Analysis.Journal of otology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
Abstract
Unpleasant sounds elicit a range of negative emotional reactions, yet the underlying neural mechanisms remain largely unknown. Here we show that glutamatergic neurons in the central inferior colliculus (CIC
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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.