Neural phase angle from two months when tracking speech and non-speech rhythm linked to language performance from 12 to 24 months

Brain and Language, Год журнала: 2023, Номер 243, С. 105301 - 105301

Опубликована: Июль 1, 2023

Atypical phase alignment of low-frequency neural oscillations to speech rhythm has been implicated in phonological deficits developmental dyslexia. could thus also characterize infants at risk for later language difficulties. Here, we investigate phase-language mechanisms a neurotypical infant sample. 122 two-, six- and nine-month-old were played non-speech rhythms while EEG was recorded longitudinal design. The infants' aligned consistently the stimuli, with group-level convergence towards common phase. Individual related subsequent measures acquisition up 24 months age. Accordingly, individual differences are cortical tracking auditory audiovisual infancy, an automatic mechanism. Automatic rhythmic eventually serve as biomarkers, identifying at-risk enabling intervention earliest stages development.

Язык: Английский

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

Frontiers in Human Neuroscience, Год журнала: 2024, Номер 18

Опубликована: Июнь 7, 2024

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 listening to identify neural patterns involving slow that may characterize In story paradigm, find atypical power dynamics and phase-amplitude coupling between delta theta dyslexic versus other child control groups (typically-developing controls, language disorder controls). We further isolate EEG common spatial (CSP) across children. A linear classifier using four delta-band CSP variables predicted dyslexia status (0.77 AUC). Crucially, these also identified when applied measured rhythmic syllable task. This transfer effect (i.e., ability features derived from task as input based on task) consistent core deficit of rhythm. The findings are suggestive distinct neurocognitive encoding mechanisms underlying dyslexia, could be targeted novel interventions.

Язык: Английский

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Detecting post-stroke aphasia using EEG-based neural envelope tracking of natural speech

medRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Март 17, 2023

Abstract After a stroke, approximately one-third of patients suffer from aphasia, language disorder that impairs communication ability. The standard behavioral tests used to diagnose aphasia are time-consuming, require subjective interpretation, and have low ecological validity. As consequence, comorbid cognitive problems present in individuals with (IWA) can bias test results, generating discrepancy between outcomes everyday-life abilities. Neural tracking the speech envelope is promising tool for investigating brain responses natural speech. crucial understanding, encompassing cues detecting segmenting linguistic units, e.g., phrases, words phonemes. In this study, we aimed potential neural technique impairments IWA. We recorded EEG 27 IWA chronic phase after stroke 22 healthy controls while they listened 25-minute story. quantified broadband frequency range as well delta, theta, alpha, beta, gamma bands using mutual information analysis. Besides group differences measures, also tested its suitability at individual level Support Vector Machine (SVM) classifier. further investigated required recording length SVM detect obtain reliable outcomes. displayed decreased compared broad, band, which line assumed role these auditory pro-cessing effectively captured level, an accuracy 84% area under curve 88%. Moreover, demonstrated high-accuracy detection be achieved time-efficient (5 minutes) highly manner (split-half reliability correlations R=0.62 R=0.96 across bands). Our study shows effective biomarker post-stroke aphasia. diagnostic high reliability, individual-level assessment. This work represents significant step towards more automatic, objective, ecologically valid assessments

Язык: Английский

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

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2022, Номер unknown

Опубликована: Ноя. 3, 2022

Cortical signals have been shown to track acoustic and linguistic properties of continuous speech. This phenomenon has measured in both children adults, reflecting speech understanding by adults as well cognitive functions such attention prediction. Furthermore, atypical low-frequency cortical tracking is found with phonological difficulties (developmental dyslexia). Accordingly, may play a critical role language acquisition. A recent investigation infants Attaheri et al., 2022 (1) probed mechanisms at the ages 4, 7 11 months participants listened sung Results from temporal response function (TRF), phase-amplitude coupling (PAC) dynamic theta-delta power (PSD) analyses indicated envelope stimulus-related for delta theta neural signals. delta- theta-driven PAC was all ages, phases displaying stronger high-frequency amplitudes than delta. The present study tests whether these previous findings replicate second half full cohort (N = 122) who were participating this longitudinal (first half: N=61, (1); N=61). In addition demonstrating good replication, we investigate first year life predicts later acquisition (122 recruited, 113 retained) using infant-led parent-estimated measures multivariate univariate analyses. Increased analyses, increased ~2Hz PSD theta-gamma related better outcomes measures. By contrast, ~4Hz multi-variate delta-beta higher theta/delta ratio worse outcomes. data are interpreted within "Temporal Sampling" framework developmental trajectories.

Язык: Английский

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Atypical beta-band effects in children with dyslexia in response to rhythmic audio-visual speech

Clinical Neurophysiology, Год журнала: 2024, Номер 160, С. 47 - 55

Опубликована: Фев. 9, 2024

Previous studies have reported atypical delta phase in children with dyslexia, and that modulates the amplitude of beta-band response via delta-beta phase-amplitude coupling (PAC). Accordingly, delta-band effects dyslexia may imply related effects, particularly regarding PAC. Our primary objective was to explore oscillations without potentially beta band dyslexic children. We collected EEG data during a rhythmic speech paradigm from 51 (21 control; 30 dyslexia). then assessed entrainment, angular velocity, power responses found significant entrainment for control but not Furthermore, exhibited significantly faster velocity greater power. Delta-beta PAC comparable both groups. Atypical were observed dyslexia. However, These findings offer further insights into neurophysiological basis processing by suggesting involvement wide range frequency bands.

Язык: Английский

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Neural tracking of natural speech: an effective marker for post-stroke aphasia

Brain Communications, Год журнала: 2025, Номер 7(2)

Опубликована: Янв. 1, 2025

Abstract After a stroke, approximately one-third of patients suffer from aphasia, language disorder that impairs communication ability. Behavioural tests are the current standard to detect but they time-consuming, have limited ecological validity and require active patient cooperation. To address these limitations, we tested potential EEG-based neural envelope tracking natural speech. The technique investigates response temporal speech, which is critical for speech understanding by encompassing cues detecting segmenting linguistic units (e.g. phrases, words phonemes). We recorded EEG 26 individuals with aphasia in chronic phase after stroke (>6 months post-stroke) 22 healthy controls while listened 25-min story. quantified broadband frequency range as well delta, theta, alpha, beta gamma bands using mutual information analyses. Besides group differences measures, also its suitability at individual level support vector machine classifier. further investigated reliability required recording length accurate detection. Our results showed had decreased encoding compared broad, theta bands, aligns assumed role auditory processing Neural effectively captured level, classification accuracy 83.33% an area under curve 89.16%. Moreover, demonstrated high-accuracy detection can be achieved time-efficient (5–7 min) highly reliable manner (split-half correlations between R = 0.61 0.96 across bands). In this study, identified specific characteristics impaired holding promise biomarker condition. Furthermore, demonstrate discriminate high accuracy, manner. findings represent significant advance towards more automated, objective ecologically valid assessments impairments aphasia.

Язык: Английский

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A longitudinal study of tapping to the beat by school-aged children with and without dyslexia: assessments of the mediating role of phonology

Frontiers in Developmental Psychology, Год журнала: 2025, Номер 3

Опубликована: Март 19, 2025

In this article, we report a longitudinal study of the relationship between tapping consistency, phonological awareness, and literacy development in sample children initially aged approximately 8 years who were followed for 6 years. The comprised 121 participants, some whom diagnosed with developmental dyslexia (DYS, N = 58). other typically developing either chronological-age-matched controls (CA, 30) DYS, or reading-age-matched (RA, 33). task was to 2-Hz beat, data analyzed using circular statistics. This resulted vector each child two dependent variables, magnitude (length, 0 1, often termed synchronization consistency) phase (+/– π radians). number able synchronize (“synchronizers”) increased age, so did consistency. “non-synchronizers”, at random, declined as progressed. Time-lagged relations consistency composite measures awareness significant during first 3 study. They remained got older. All groups CA, RA) established preferred phase; however, time-lagged behavioral composites not any time point. Mediation analysis multiple regression analyses showed that significantly predicted later cross-sectional rhythmic mediated by phonology. are discussed terms temporal sampling theory.

Язык: Английский

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The relation between beat perception and auditory ordinal encoding may not depend on neural entrainment

Language Cognition and Neuroscience, Год журнала: 2025, Номер unknown, С. 1 - 14

Опубликована: Апрель 1, 2025

Язык: Английский

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Source reconstruction of clinical resting-state EEG reveals differences in power and functional connectivity in children with developmental dyslexia

Опубликована: Май 29, 2025

Developmental dyslexia is a neurodevelopmental disorder characterized by significant difficulties in reading and spelling. Despite lacking routine neuroimaging markers for dyslexia, recent resting-state electroencephalography (EEG) studies have detected atypical functional connectivity (FC) at the sensor-level children with compared to controls. It remains unclear if clinical EEG can be used detect source-level differences between Using retrospective data, we investigated 70 50 typically developing We analyzed seconds of awake EEG, calculating power two FC metrics after source-reconstruction. Additionally, correlations or IQ, reading, spelling performance were analyzed. Children had decrease theta left temporo-parieto-occipital regions an increase alpha fronto-temporo-parietal regions. Decreased was observed right parieto-occipital inferior fronto-temporal Furthermore, demonstrated lower delta within A sub-analysis indicated that 5^th-8^th school grades exhibit greater Lower scores showed positive association dyslexia. Significant group theta-alpha range suggest abnormal oscillations as pathophysiological signs orthographic, visual attention, deficits. Our findings indicate potential source-reconstructed data inform clinicians about oscillatory alterations

Язык: Английский

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Assessing Functional Brain Network Dynamics in Dyslexia from fNIRS Data

International Journal of Neural Systems, Год журнала: 2023, Номер 33(04)

Опубликована: Янв. 12, 2023

Developmental dyslexia is characterized by a deficit of phonological awareness whose origin related to atypical neural processing speech streams. This can lead differences in the networks that encode audio information for dyslexics. In this work, we investigate whether such exist using functional near-infrared spectroscopy (fNIRS) and complex network analysis. We have explored brain derived from low-level auditory nonspeech stimuli units as stress, syllables or phonemes skilled dyslexic seven-year-old readers. A analysis was performed examine properties their temporal evolution. aspects connectivity segregation, integration small-worldness. These are used features extract differential patterns controls subjects. The results corroborate presence discrepancies topological organizations dynamics differentiate between control subjects, reaching an Area Under ROC Curve (AUC) up 0.89 classification experiments.

Язык: Английский

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