# Altered auditory feature discrimination in a rat model of Fragile X Syndrome

**Authors:** D. Walker Gauthier, Noelle James, Benjamin D. Auerbach, Christian Schnell, PhD, Christian Schnell, PhD, Christian Schnell, PhD, Christian Schnell, PhD

PMC · DOI: 10.1371/journal.pbio.3003248 · PLOS Biology · 2025-07-01

## TL;DR

This study finds that rats with a genetic model of Fragile X Syndrome have trouble distinguishing sounds, which may be due to overactive brain cells in the auditory cortex.

## Contribution

The study identifies a link between auditory cortical hyperexcitability and impaired sound discrimination in a rat model of Fragile X Syndrome.

## Key findings

- Fmr1 KO rats show poorer frequency resolution and broader tuning in auditory cortical neurons.
- Cortical hyperactivity correlates with impaired behavioral discrimination of sound features.
- A population model links cortical tuning and signal-to-noise differences to behavioral deficits.

## Abstract

Atypical sensory processing, particularly in the auditory domain, is one of the most common and quality-of-life affecting symptoms seen in autism spectrum disorders (ASD). Fragile X Syndrome (FXS) is a leading inherited cause of ASD and a majority of FXS individuals present with auditory processing alterations. While auditory hypersensitivity is a common phenotype observed in FXS and Fmr1 knockout (KO) rodent models, it is important to consider other auditory coding impairments that could contribute to sound processing difficulties and disrupted language comprehension in FXS. We have shown previously that a Fmr1 KO rat model of FXS exhibits heightened sound sensitivity that coincided with abnormal perceptual integration of stimulus bandwidth, indicative of altered spectral processing. Frequency discrimination is a fundamental aspect of sound encoding that is important for a range of auditory processes, such as source segregation and speech comprehension, and disrupted frequency coding could thus contribute to a range of auditory issues in FXS and ASD. Here we explicitly characterized spectral processing deficits in male Fmr1 KO rats using an operant conditioning tone discrimination assay and in vivo electrophysiological recordings from the auditory cortex and inferior colliculus. We found that Fmr1 KO rats exhibited poorer frequency resolution, which corresponded with neuronal hyperactivity and broader frequency tuning in auditory cortical but not collicular neurons. Using an experimentally informed population model, we show that these cortical physiological differences can recapitulate the observed behavior discrimination deficits, with decoder performance being tightly linked to differences in cortical tuning width and signal-to-noise ratios. Together, these findings indicate that cortical hyperexcitability in Fmr1 KO rats may act to preserve signal-to-noise ratios and signal detection threshold at the expense of sound sensitivity and fine feature discrimination, highlighting a potential mechanistic locus for a range of auditory behavioral phenotypes in FXS.

Atypical sensory processing is a common symptom in autism spectrum disorders. This study reveals impaired frequency discrimination in a rat model of Fragile X syndrome that is associated with auditory cortical hyperexcitability and degraded tuning quality, which may explain the heightened perceptual sensitivity often seen in this disorder.

## Linked entities

- **Genes:** FMR1 (fragile X messenger ribonucleoprotein 1) [NCBI Gene 2332]
- **Diseases:** Fragile X Syndrome (MONDO:0010383)
- **Species:** Rattus norvegicus (taxon 10116)

## Full-text entities

- **Genes:** Fmr1 (fragile X messenger ribonucleoprotein 1) [NCBI Gene 24948] {aka FMRP}
- **Diseases:** hyperactivity (MESH:D006948), auditory coding impairments (MESH:D006311), auditory hypersensitivity (MESH:D004342), FXS (MESH:D005600), Altered auditory feature discrimination (MESH:D010468), ASD (MESH:D000067877), comprehension (MESH:D001308)
- **Species:** Rattus norvegicus (brown rat, species) [taxon 10116]

## Full text

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## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12237272/full.md

## References

67 references — full list in the complete paper: https://tomesphere.com/paper/PMC12237272/full.md

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Source: https://tomesphere.com/paper/PMC12237272