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Published VersionCC BY V4.0, Open Access
Journal article
Atypical low-frequency cortical encoding of speech identifies children with developmental dyslexia
Frontiers in Human Neuroscience, Vol.18, pp.1-19
2024
Abstract
Slow cortical oscillations play a crucial role in processing the speech amplitude envelope, which is perceived atypically by children with developmental dyslexia. Here we use electroencephalography (EEG) recorded during natural speech listening to identify neural processing patterns involving slow oscillations that may characterize children with dyslexia. In a story listening paradigm, we find that atypical power dynamics and phase-amplitude coupling between delta and theta oscillations characterize dyslexic versus other child control groups (typically-developing controls, other language disorder controls). We further isolate EEG common spatial patterns (CSP) during speech listening across delta and theta oscillations that identify dyslexic children. A linear classifier using four delta-band CSP variables predicted dyslexia status (0.77 AUC). Crucially, these spatial patterns also identified children with dyslexia when applied to EEG measured during a rhythmic syllable processing task. This transfer effect (i.e., the ability to use neural features derived from a story listening task as input features to a classifier based on a rhythmic syllable task) is consistent with a core developmental deficit in neural processing of speech rhythm. The findings are suggestive of distinct atypical neurocognitive speech encoding mechanisms underlying dyslexia, which could be targeted by novel interventions.
Details
- Title
- Atypical low-frequency cortical encoding of speech identifies children with developmental dyslexia
- Authors
- João Araújo (Corresponding Author) - University of CambridgeBenjamin D Simons (Author) - University of CambridgeVarghese Peter (Author) - University of the Sunshine Coast, Queensland, School of Health - PsychologyKanad Mandke (Author) - University of CambridgeMarina Kalashnikova (Author) - Basque Center on Cognition, Brain and LanguageAnnabel Macfarlane (Author) - University of CambridgeFiona Gabrielczyk (Author) - University of CambridgeAngela Wilson (Author) - University of CambridgeGiovanni M Di Liberto (Author) - Trinity College DublinDenis Burnham (Author) - Trinity College DublinUsha Goswami (Author) - University of Cambridge
- Publication details
- Frontiers in Human Neuroscience, Vol.18, pp.1-19
- Publisher
- Frontiers Research Foundation
- Date published
- 2024
- DOI
- 10.3389/fnhum.2024.1403677
- ISSN
- 1662-5161
- Copyright note
- © 2024 Araújo, Simons, Peter, Mandke, Kalashnikova, Macfarlane, Gabrielczyk, Wilson, Di Liberto, Burnham and Goswami. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
- Data Availability
- The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.
- Organisation Unit
- Healthy Ageing Research Cluster; School of Health - Psychology
- Language
- English
- Record Identifier
- 991032798902621
- Output Type
- Journal article
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web Of Science research areas
- Neurosciences
- Psychology