Neural responses to natural and enhanced speech edges in children with and without dyslexia

Mandke, Kanad; Flanagan, Sheila; Macfarlane, Annabel; Feltham, Georgia; Gabrielczyk, Fiona; Wilson, Angela M.; Gross, Joachim; Goswami, Usha

doi:10.3389/fnhum.2023.1200950

Cited by 3 publications

(8 citation statements)

References 46 publications

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“…These infant data are consistent with neural oscillatory factors that have been found to explain individual differences in language development in children, for example the fidelity and synchronicity of delta-band encoding of speech envelope information for phonological development (35,57). They are also consistent with a recent EEG modelling study based on child recordings during passive speech listening, which showed that a higher theta/delta power ratio was related to phonological difficulties in dyslexia (32), and a child MEG study which showed that amplifying speech information in the delta band reduced this power ratio when dyslexic children were listening to filtered speech (34).…”

Section: Discussionsupporting

confidence: 82%

“…Furthermore, previous electrophysiological and magnetoencephalography studies testing TS theory with children with dyslexia have revealed a significant role for delta band encoding in both phonological and vocabulary development (33)(34)(35)(36). Filtered speech interventions that enhance delta-band information also improve the theta-delta oscillatory power ratio during speech listening for dyslexic children (34). These neural data from children suggest that cortical tracking within specific low-frequency bands (i.e.…”

Section: Introductionmentioning

confidence: 76%

“…In the previous EEG modelling work with 9-year-old children with and without dyslexia that investigated theta/delta ratios, a dyslexia-specific pattern of delta and theta power dynamics during natural speech processing was seen to become progressively more atypical the worse the child's phonological awareness, and this was not related to age (32). Further, this ratio could be improved for children with dyslexia by increasing delta power via a filtered speech manipulation (34).…”

Section: Discussionmentioning

confidence: 93%

“…For comparison, the child modelling using EEG recorded from children with and without dyslexia aged around 9 years showed that a higher theta/delta ratio was associated with poorer phonological awareness (32). In the filtered speech intervention study with dyslexic children (34), in which delta-band modulations in natural speech were amplified via filtering, the theta/delta ratio improved when the children were listening to the filtered speech (compared to natural speech) because delta power increased. Accordingly, the theta/delta ratio appears to be a sensitive index of speech-related neural dynamics in infants and children.…”

Section: Theta/delta Psd Power Ratiomentioning

confidence: 99%

“…Based on (32), we can expect that individual differences in the theta/delta power ratio for infants may also predict subsequent language development. Furthermore, previous electrophysiological and magnetoencephalography studies testing TS theory with children with dyslexia have revealed a significant role for delta band encoding in both phonological and vocabulary development (33)(34)(35)(36). Filtered speech interventions that enhance delta-band information also improve the theta-delta oscillatory power ratio during speech listening for dyslexic children (34).…”

Section: Introductionmentioning

confidence: 97%

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Infant low-frequency EEG cortical power, cortical tracking and phase-amplitude coupling predicts language a year later.

Attaheri

Choisdealbha

Rocha

et al. 2022

Preprint

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Cortical signals have been shown to track acoustic and linguistic properties of continual speech. This phenomenon has been measured across the lifespan, reflecting speech understanding as well as cognitive functions such as attention and prediction. Furthermore, atypical low-frequency cortical tracking of speech is found in children with phonological difficulties (developmental dyslexia). Accordingly, low-frequency cortical signals, especially in the delta and theta ranges, may play a critical role in language acquisition. A recent investigation Attaheri et al., 2022 (1) probed cortical tracking mechanisms in infants aged 4, 7 and 11 months as they listened to sung speech. Results from temporal response functions (TRF), phase-amplitude coupling (PAC) and dynamic theta-delta power (PSD) analyses indicated speech envelope tracking and stimulus related power (PSD) via the delta & theta neural signals. Furthermore, delta and theta driven PAC was found at all ages with gamma amplitudes displaying a stronger PAC to low frequency phases than beta. The present study tests whether those previous findings replicate in the second half of the same cohort (first half: N=61, (1); second half: N=61). In addition to demonstrating good replication, we investigate whether cortical tracking in the first year of life predicts later language acquisition for the full infant cohort (122 infants recruited, 113, retained). Increased delta cortical tracking and theta-gamma PAC were related to better language outcomes using both infant-led and parent-estimated measures. By contrast, increased ~4Hz PSD power and a greater theta/delta power ratio related to decreased parent-estimated language outcomes. The data are interpreted within a "Temporal Sampling" framework for developmental language trajectories.

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Section: Discussionsupporting

confidence: 82%

Section: Introductionmentioning

confidence: 76%

Section: Discussionmentioning

confidence: 93%

Section: Theta/delta Psd Power Ratiomentioning

confidence: 99%

Section: Introductionmentioning

confidence: 97%

See 3 more Smart Citations

Infant low-frequency EEG cortical power, cortical tracking and phase-amplitude coupling predicts language a year later.

Attaheri

Choisdealbha

Rocha

et al. 2022

Preprint

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Anatomical and behavioral correlates of auditory perception in developmental dyslexia

Qi,

Mandelli,

Pereira

et al. 2023

Preprint

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Developmental dyslexia (DD) is typically associated with difficulties in manipulating speech sounds and, sometimes, in basic auditory processing. However, the neuroanatomical correlates of auditory difficulties in DD and their contribution to individual clinical phenotypes are still unknown. Recent intracranial electrocorticography (ECoG) findings associated processing of sound amplitude rises and speech sounds with posterior and middle superior temporal gyrus (STG), respectively. We hypothesize that regional STG anatomy will relate to specific auditory abilities in DD and that auditory processing abilities will relate to behavioral difficulties. One hundred and ten children (78 DD, 32 typically developing, age 7- 15 years) completed amplitude rise time (ART) and speech in noise discrimination (SiN) tasks. They also underwent a battery of cognitive tests. Anatomical MRI scans were used to identify regions in which local cortical gyrification complexity correlated with auditory tasks in DD. Behaviorally, ART but not SiN performance was impaired in DD. Neurally, ART and SiN performance correlated with gyrification in posterior STG and middle STG, respectively. Furthermore, ART significantly contributed to reading impairments in DD, while SiN explained variance in phonological awareness only. Finally, ART and SiN performance was not correlated, and each task was correlated with distinct neuropsychological measures, such that distinct DD subgroups could be identified. Overall, we provide a direct link between the neurodevelopment of the left STG and individual variability in auditory processing abilities in DD. The dissociation between speech and non-speech deficits supports distinct DD phenotypes and implicates different approaches to interventions.

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Atypical low-frequency cortical encoding of speech identifies children with developmental dyslexia

Araújo,

Simons,

Peter

et al. 2024

Front. Hum. Neurosci.

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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.

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Neural responses to natural and enhanced speech edges in children with and without dyslexia

Cited by 3 publications

References 46 publications

Infant low-frequency EEG cortical power, cortical tracking and phase-amplitude coupling predicts language a year later.

Infant low-frequency EEG cortical power, cortical tracking and phase-amplitude coupling predicts language a year later.

Anatomical and behavioral correlates of auditory perception in developmental dyslexia

Atypical low-frequency cortical encoding of speech identifies children with developmental dyslexia

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