ArticlePLoS biology2026
Animal acoustic communication has a conserved optimal rhythm within the neural delta range.
Article in PLoS biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.
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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.
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Who cites it
2 citing papers in PubMed.
- Correction: Animal acoustic communication has a conserved optimal rhythm within the neural delta range.PLoS biology · 2026Article
- Do delta waves in the receiver's brain explain slow tempos of animal communication signals?PLoS biology · 2026Article
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- Erratum issued
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Acoustic communication is crucial for survival across the animal kingdom, with acoustic signals being shaped by the interaction of producer and receiver selective pressures. While spectral features' variation reflects species-specific selection, the evolutionary history of acoustic communication rhythms, i.e., the rhythmic modulations of acoustic signals, remains unknown. Using data from 98 species spanning primarily mammals and birds, with additional representation from amphibians, reptiles, fishes, and insects, we investigate the origins of acoustic communication rhythms, notably whether they are shaped by the producer's anatomical characteristics, environmental constraints, or social complexity. Regression models which controlled for phylogenetic relatedness did not support an influence of these species-specific selective forces; instead, explicit phylogenetic models of trait evolution showed that most species' rhythms are conserved around an evolutionary optimum of 2.7 Hz that falls within the neural delta range (1-4 Hz) and predates mammalian divergence. Given the known conserved brain oscillations across species and delta involvement in active sensing, we propose that, unlike spectral features, acoustic rhythm could be governed by a universal neural mechanism facilitating effective intra and interspecific communication via a shared channel that has persisted through evolutionary times.
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