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Cited by 310

The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.

Unstable Representation of Sound: A Biological Marker of Dyslexia

Open access
Hornickel, Jane, Kraus, Nina·2013·The Journal of Neuroscience

Abstract

Learning to read proceeds smoothly for most children, yet others struggle to translate verbal language into its written form. Poor readers often have a host of auditory, linguistic, and attention deficits, including abnormal neural representation of speech and inconsistent performance on psychoacoustic tasks. We hypothesize that this constellation of deficits associated with reading disorders arises from the human auditory system failing to respond to sound in a consistent manner, and that this inconsistency impinges upon the ability to relate phonology and orthography during reading. In support of this hypothesis, we show that poor readers have significantly more variable auditory brainstem responses to speech than do good readers, independent of resting neurophysiological noise levels. Thus, neural variability may be an underlying biological contributor to well established behavioral and neural deficits found in poor readers.

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Crossref · 10.1523/jneurosci.4205-12.2013

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Metadata

Authors
Hornickel, J., & Kraus, N.
Venue
The Journal of Neuroscience
Published
2013-02-20
Volume
33
Issue
8
Pages
3500-3504
ISSN
  • 0270-6474 (ISSN-L)
  • 1529-2401
OpenAlex
W2065059368
Cited by
310
References
40
FWCI
59.75
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Unstable Representation of Sound: A Biological Marker of Dyslexia. https://app.cochat.ai/papers/10.1523/jneurosci.4205-12.2013
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Hornickel, J., & Kraus, N. (2013). Unstable Representation of Sound: A Biological Marker of Dyslexia. The Journal of Neuroscience. https://doi.org/10.1523/jneurosci.4205-12.2013

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.