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Keshavarzi M, Mandke K, Macfarlane A, Parvez L, Gabrielczyk F, Wilson A, Goswami U. Atypical beta-band effects in children with dyslexia in response to rhythmic audio-visual speech. Clin Neurophysiol 2024; 160:47-55. [PMID: 38387402 DOI: 10.1016/j.clinph.2024.02.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Revised: 01/31/2024] [Accepted: 02/06/2024] [Indexed: 02/24/2024]
Abstract
OBJECTIVE Previous studies have reported atypical delta phase in children with dyslexia, and that delta phase modulates the amplitude of the beta-band response via delta-beta phase-amplitude coupling (PAC). Accordingly, the atypical delta-band effects in children with dyslexia may imply related atypical beta-band effects, particularly regarding delta-beta PAC. Our primary objective was to explore beta-band oscillations in children with and without dyslexia, to explore potentially atypical effects in the beta band in dyslexic children. METHODS We collected EEG data during a rhythmic speech paradigm from 51 children (21 control; 30 dyslexia). We then assessed beta-band phase entrainment, beta-band angular velocity, beta-band power responses and delta-beta PAC. RESULTS We found significant beta-band phase entrainment for control children but not for dyslexic children. Furthermore, children with dyslexia exhibited significantly faster beta-band angular velocity and significantly greater beta-band power. Delta-beta PAC was comparable in both groups. CONCLUSION Atypical beta-band effects were observed in children with dyslexia. However, delta-beta PAC was comparable in both dyslexic and control children. SIGNIFICANCE These findings offer further insights into the neurophysiological basis of atypical rhythmic speech processing by children with dyslexia, suggesting the involvement of a wide range of frequency bands.
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Affiliation(s)
- Mahmoud Keshavarzi
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge CB2 3EB, United Kingdom.
| | - Kanad Mandke
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge CB2 3EB, United Kingdom
| | - Annabel Macfarlane
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge CB2 3EB, United Kingdom
| | - Lyla Parvez
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge CB2 3EB, United Kingdom
| | - Fiona Gabrielczyk
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge CB2 3EB, United Kingdom
| | - Angela Wilson
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge CB2 3EB, United Kingdom
| | - Usha Goswami
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge CB2 3EB, United Kingdom
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Rocha S, Attaheri A, Ní Choisdealbha Á, Brusini P, Mead N, Olawole-Scott H, Boutris P, Gibbon S, Williams I, Grey C, Alfaro E Oliveira M, Brough C, Flanagan S, Ahmed H, Macrae E, Goswami U. Precursors to infant sensorimotor synchronization to speech and non-speech rhythms: A longitudinal study. Dev Sci 2024:e13483. [PMID: 38470174 DOI: 10.1111/desc.13483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 11/29/2023] [Accepted: 12/13/2023] [Indexed: 03/13/2024]
Abstract
Impaired sensorimotor synchronization (SMS) to acoustic rhythm may be a marker of atypical language development. Here, Motion Capture was used to assess gross motor rhythmic movement at six time points between 5- and 11 months of age. Infants were recorded drumming to acoustic stimuli of varying linguistic and temporal complexity: drumbeats, repeated syllables and nursery rhymes. Here we show, for the first time, developmental change in infants' movement timing in response to auditory stimuli over the first year of life. Longitudinal analyses revealed that whilst infants could not yet reliably synchronize their movement to auditory rhythms, infant spontaneous motor tempo became faster with age, and by 11 months, a subset of infants decelerate from their spontaneous motor tempo, which better accords with the incoming tempo. Further, infants became more regular drummers with age, with marked decreases in the variability of spontaneous motor tempo and variability in response to drumbeats. This latter effect was subdued in response to linguistic stimuli. The current work lays the foundation for using individual differences in precursors of SMS in infancy to predict later language outcomes. RESEARCH HIGHLIGHT: We present the first longitudinal investigation of infant rhythmic movement over the first year of life Whilst infants generally move more quickly and with higher regularity over their first year, by 11 months infants begin to counter this pattern when hearing slower infant-directed song Infant movement is more variable to speech than non-speech stimuli In the context of the larger Cambridge UK BabyRhythm Project, we lay the foundation for rhythmic movement in infancy to predict later language outcomes.
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Affiliation(s)
- Sinead Rocha
- Department of Psychology, Centre for Neuroscience in Education, University of Cambridge, Cambridge, UK
- Psychology and Sports Science, Anglia Ruskin University, Cambridge, UK
- Department of Psychology, Goldsmiths, University of London, London, UK
| | - Adam Attaheri
- Department of Psychology, Centre for Neuroscience in Education, University of Cambridge, Cambridge, UK
| | - Áine Ní Choisdealbha
- Department of Psychology, Centre for Neuroscience in Education, University of Cambridge, Cambridge, UK
| | - Perrine Brusini
- Department of Psychology, Centre for Neuroscience in Education, University of Cambridge, Cambridge, UK
- Institute of Population Health, University of Liverpool, Liverpool, UK
| | - Natasha Mead
- Department of Psychology, Centre for Neuroscience in Education, University of Cambridge, Cambridge, UK
| | - Helen Olawole-Scott
- Department of Psychology, Centre for Neuroscience in Education, University of Cambridge, Cambridge, UK
| | - Panagiotis Boutris
- Department of Psychology, Centre for Neuroscience in Education, University of Cambridge, Cambridge, UK
| | - Samuel Gibbon
- Department of Psychology, Centre for Neuroscience in Education, University of Cambridge, Cambridge, UK
| | - Isabel Williams
- Department of Psychology, Centre for Neuroscience in Education, University of Cambridge, Cambridge, UK
| | - Christina Grey
- Department of Psychology, Centre for Neuroscience in Education, University of Cambridge, Cambridge, UK
| | - Maria Alfaro E Oliveira
- Department of Psychology, Centre for Neuroscience in Education, University of Cambridge, Cambridge, UK
| | - Carmel Brough
- Department of Psychology, Centre for Neuroscience in Education, University of Cambridge, Cambridge, UK
| | - Sheila Flanagan
- Department of Psychology, Centre for Neuroscience in Education, University of Cambridge, Cambridge, UK
| | - Henna Ahmed
- Department of Psychology, Centre for Neuroscience in Education, University of Cambridge, Cambridge, UK
| | - Emma Macrae
- Department of Psychology, Centre for Neuroscience in Education, University of Cambridge, Cambridge, UK
| | - Usha Goswami
- Department of Psychology, Centre for Neuroscience in Education, University of Cambridge, Cambridge, UK
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Keshavarzi M, Choisdealbha ÁN, Attaheri A, Rocha S, Brusini P, Gibbon S, Boutris P, Mead N, Olawole-Scott H, Ahmed H, Flanagan S, Mandke K, Goswami U. Decoding speech information from EEG data with 4-, 7- and 11-month-old infants: Using convolutional neural network, mutual information-based and backward linear models. J Neurosci Methods 2024; 403:110036. [PMID: 38128783 DOI: 10.1016/j.jneumeth.2023.110036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 12/11/2023] [Accepted: 12/15/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND Computational models that successfully decode neural activity into speech are increasing in the adult literature, with convolutional neural networks (CNNs), backward linear models, and mutual information (MI) models all being applied to neural data in relation to speech input. This is not the case in the infant literature. NEW METHOD Three different computational models, two novel for infants, were applied to decode low-frequency speech envelope information. Previously-employed backward linear models were compared to novel CNN and MI-based models. Fifty infants provided EEG recordings when aged 4, 7, and 11 months, while listening passively to natural speech (sung or chanted nursery rhymes) presented by video with a female singer. RESULTS Each model computed speech information for these nursery rhymes in two different low-frequency bands, delta and theta, thought to provide different types of linguistic information. All three models demonstrated significant levels of performance for delta-band neural activity from 4 months of age, with two of three models also showing significant performance for theta-band activity. All models also demonstrated higher accuracy for the delta-band neural responses. None of the models showed developmental (age-related) effects. COMPARISONS WITH EXISTING METHODS The data demonstrate that the choice of algorithm used to decode speech envelope information from neural activity in the infant brain determines the developmental conclusions that can be drawn. CONCLUSIONS The modelling shows that better understanding of the strengths and weaknesses of each modelling approach is fundamental to improving our understanding of how the human brain builds a language system.
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Affiliation(s)
- Mahmoud Keshavarzi
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Downing Street, Cambridge CB2 3EB, UK.
| | - Áine Ní Choisdealbha
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Downing Street, Cambridge CB2 3EB, UK
| | - Adam Attaheri
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Downing Street, Cambridge CB2 3EB, UK
| | - Sinead Rocha
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Downing Street, Cambridge CB2 3EB, UK
| | - Perrine Brusini
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Downing Street, Cambridge CB2 3EB, UK
| | - Samuel Gibbon
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Downing Street, Cambridge CB2 3EB, UK
| | - Panagiotis Boutris
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Downing Street, Cambridge CB2 3EB, UK
| | - Natasha Mead
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Downing Street, Cambridge CB2 3EB, UK
| | - Helen Olawole-Scott
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Downing Street, Cambridge CB2 3EB, UK
| | - Henna Ahmed
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Downing Street, Cambridge CB2 3EB, UK
| | - Sheila Flanagan
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Downing Street, Cambridge CB2 3EB, UK
| | - Kanad Mandke
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Downing Street, Cambridge CB2 3EB, UK
| | - Usha Goswami
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Downing Street, Cambridge CB2 3EB, UK
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Nguyen T, Reisner S, Lueger A, Wass SV, Hoehl S, Markova G. Sing to me, baby: Infants show neural tracking and rhythmic movements to live and dynamic maternal singing. Dev Cogn Neurosci 2023; 64:101313. [PMID: 37879243 PMCID: PMC10618693 DOI: 10.1016/j.dcn.2023.101313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 09/29/2023] [Accepted: 10/12/2023] [Indexed: 10/27/2023] Open
Abstract
Infant-directed singing has unique acoustic characteristics that may allow even very young infants to respond to the rhythms carried through the caregiver's voice. The goal of this study was to examine neural and movement responses to live and dynamic maternal singing in 7-month-old infants and their relation to linguistic development. In total, 60 mother-infant dyads were observed during two singing conditions (playsong and lullaby). In Study 1 (n = 30), we measured infant EEG and used an encoding approach utilizing ridge regressions to measure neural tracking. In Study 2 (n =40), we coded infant rhythmic movements. In both studies, we assessed children's vocabulary when they were 20 months old. In Study 1, we found above-threshold neural tracking of maternal singing, with superior tracking of lullabies than playsongs. We also found that the acoustic features of infant-directed singing modulated tracking. In Study 2, infants showed more rhythmic movement to playsongs than lullabies. Importantly, neural coordination (Study 1) and rhythmic movement (Study 2) to playsongs were positively related to infants' expressive vocabulary at 20 months. These results highlight the importance of infants' brain and movement coordination to their caregiver's musical presentations, potentially as a function of musical variability.
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Affiliation(s)
- Trinh Nguyen
- Faculty of Psychology, University of Vienna, Liebiggasse 5, 1010 Vienna, Austria; Neuroscience of Perception and Action Lab, Italian Institute of Technology, Viale Regina Elena 291, 00161 Rome, Italy.
| | - Susanne Reisner
- Faculty of Psychology, University of Vienna, Liebiggasse 5, 1010 Vienna, Austria
| | - Anja Lueger
- Faculty of Psychology, University of Vienna, Liebiggasse 5, 1010 Vienna, Austria
| | - Samuel V Wass
- Department of Psychology, University of East London, University Way, London E16 2RD, United Kingdom
| | - Stefanie Hoehl
- Faculty of Psychology, University of Vienna, Liebiggasse 5, 1010 Vienna, Austria
| | - Gabriela Markova
- Faculty of Psychology, University of Vienna, Liebiggasse 5, 1010 Vienna, Austria; Institute for Early Life Care, Paracelsus Medical University, Strubergasse 13, 5020 Salzburg, Austria.
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5
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Çetinçelik M, Rowland CF, Snijders TM. Ten-month-old infants' neural tracking of naturalistic speech is not facilitated by the speaker's eye gaze. Dev Cogn Neurosci 2023; 64:101297. [PMID: 37778275 PMCID: PMC10543766 DOI: 10.1016/j.dcn.2023.101297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 08/21/2023] [Accepted: 09/08/2023] [Indexed: 10/03/2023] Open
Abstract
Eye gaze is a powerful ostensive cue in infant-caregiver interactions, with demonstrable effects on language acquisition. While the link between gaze following and later vocabulary is well-established, the effects of eye gaze on other aspects of language, such as speech processing, are less clear. In this EEG study, we examined the effects of the speaker's eye gaze on ten-month-old infants' neural tracking of naturalistic audiovisual speech, a marker for successful speech processing. Infants watched videos of a speaker telling stories, addressing the infant with direct or averted eye gaze. We assessed infants' speech-brain coherence at stress (1-1.75 Hz) and syllable (2.5-3.5 Hz) rates, tested for differences in attention by comparing looking times and EEG theta power in the two conditions, and investigated whether neural tracking predicts later vocabulary. Our results showed that infants' brains tracked the speech rhythm both at the stress and syllable rates, and that infants' neural tracking at the syllable rate predicted later vocabulary. However, speech-brain coherence did not significantly differ between direct and averted gaze conditions and infants did not show greater attention to direct gaze. Overall, our results suggest significant neural tracking at ten months, related to vocabulary development, but not modulated by speaker's gaze.
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Affiliation(s)
- Melis Çetinçelik
- Department of Experimental Psychology, Utrecht University, Utrecht, the Netherlands; Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands.
| | - Caroline F Rowland
- Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands; Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands
| | - Tineke M Snijders
- Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands; Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands; Cognitive Neuropsychology Department, Tilburg University, Tilburg, the Netherlands
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6
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Di Liberto GM, Attaheri A, Cantisani G, Reilly RB, Ní Choisdealbha Á, Rocha S, Brusini P, Goswami U. Emergence of the cortical encoding of phonetic features in the first year of life. Nat Commun 2023; 14:7789. [PMID: 38040720 PMCID: PMC10692113 DOI: 10.1038/s41467-023-43490-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 11/10/2023] [Indexed: 12/03/2023] Open
Abstract
Even prior to producing their first words, infants are developing a sophisticated speech processing system, with robust word recognition present by 4-6 months of age. These emergent linguistic skills, observed with behavioural investigations, are likely to rely on increasingly sophisticated neural underpinnings. The infant brain is known to robustly track the speech envelope, however previous cortical tracking studies were unable to demonstrate the presence of phonetic feature encoding. Here we utilise temporal response functions computed from electrophysiological responses to nursery rhymes to investigate the cortical encoding of phonetic features in a longitudinal cohort of infants when aged 4, 7 and 11 months, as well as adults. The analyses reveal an increasingly detailed and acoustically invariant phonetic encoding emerging over the first year of life, providing neurophysiological evidence that the pre-verbal human cortex learns phonetic categories. By contrast, we found no credible evidence for age-related increases in cortical tracking of the acoustic spectrogram.
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Affiliation(s)
- Giovanni M Di Liberto
- ADAPT Centre, School of Computer Science and Statistics, Trinity College, The University of Dublin, Dublin, Ireland.
- Trinity College Institute of Neuroscience, Trinity College, The University of Dublin, Dublin, Ireland.
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge, United Kingdom.
| | - Adam Attaheri
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge, United Kingdom
| | - Giorgia Cantisani
- ADAPT Centre, School of Computer Science and Statistics, Trinity College, The University of Dublin, Dublin, Ireland
- Laboratoire des Systémes Perceptifs, Département d'études Cognitives, École normale supérieure, PSL University, CNRS, 75005, Paris, France
| | - Richard B Reilly
- Trinity College Institute of Neuroscience, Trinity College, The University of Dublin, Dublin, Ireland
- School of Engineering, Trinity Centre for Biomedical Engineering, Trinity College, The University of Dublin., Dublin, Ireland
- School of Medicine, Trinity College, The University of Dublin, Dublin, Ireland
| | - Áine Ní Choisdealbha
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge, United Kingdom
| | - Sinead Rocha
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge, United Kingdom
| | - Perrine Brusini
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge, United Kingdom
| | - Usha Goswami
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge, United Kingdom
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7
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Filippa M, Benis D, Adam-Darque A, Grandjean D, Hüppi PS. Preterm infants show an atypical processing of the mother's voice. Brain Cogn 2023; 173:106104. [PMID: 37949001 DOI: 10.1016/j.bandc.2023.106104] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Revised: 10/27/2023] [Accepted: 10/30/2023] [Indexed: 11/12/2023]
Abstract
To understand the consequences of prematurity on language perception, it is fundamental to determine how atypical early sensory experience affects brain development. At term equivalent age, ten preterm and ten full-term newborns underwent high-density EEG during mother or stranger speech presentation, in the forward or backward order. A general group effect terms > preterms is evident in the theta frequency band, in the left temporal area, with preterms showing significant activation for strangers' and terms for the mother's voice. A significant group contrast in the low and high theta in the right temporal regions indicates higher activations for the stranger's voice in preterms. Finally, only full terms presented a late gamma band increase for the maternal voice, indicating a more mature brain response. EEG time-frequency analysis demonstrate that preterm infants are selectively responsive to stranger voices in both temporal hemispheres, and that they lack selective brain responses to their mother's forward voice.
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Affiliation(s)
- Manuela Filippa
- Division of Development and Growth, Child and Adolescent Department, Rue Willy-Donzé 1205 Genève, University of Geneva, Geneva, Switzerland; Swiss Center for Affective Sciences, Department of Psychology and Educational Sciences, University of Geneva, Boulevard Carl-Vogt 101 Genève, Geneva, Switzerland.
| | - Damien Benis
- Division of Development and Growth, Child and Adolescent Department, Rue Willy-Donzé 1205 Genève, University of Geneva, Geneva, Switzerland; Swiss Center for Affective Sciences, Department of Psychology and Educational Sciences, University of Geneva, Boulevard Carl-Vogt 101 Genève, Geneva, Switzerland
| | - Alexandra Adam-Darque
- Laboratory of Cognitive Neurorehabilitation, Department of Clinical Neuroscience, Division of Neurorehabilitation, University Hospital of Geneva and University of Geneva, Rue Gabrielle-Perret-Gentil 4, 1211 Geneva, Switzerland
| | - Didier Grandjean
- Swiss Center for Affective Sciences, Department of Psychology and Educational Sciences, University of Geneva, Boulevard Carl-Vogt 101 Genève, Geneva, Switzerland
| | - Petra S Hüppi
- Division of Development and Growth, Child and Adolescent Department, Rue Willy-Donzé 1205 Genève, University of Geneva, Geneva, Switzerland
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8
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Menn KH, Männel C, Meyer L. Phonological acquisition depends on the timing of speech sounds: Deconvolution EEG modeling across the first five years. Sci Adv 2023; 9:eadh2560. [PMID: 37910625 PMCID: PMC10619930 DOI: 10.1126/sciadv.adh2560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Accepted: 09/29/2023] [Indexed: 11/03/2023]
Abstract
The late development of fast brain activity in infancy restricts initial processing abilities to slow information. Nevertheless, infants acquire the short-lived speech sounds of their native language during their first year of life. Here, we trace the early buildup of the infant phoneme inventory with naturalistic electroencephalogram. We apply the recent method of deconvolution modeling to capture the emergence of the feature-based phoneme representation that is known to govern speech processing in the mature brain. Our cross-sectional analysis uncovers a gradual developmental increase in neural responses to native phonemes. Critically, infants appear to acquire those phoneme features first that extend over longer time intervals-thus meeting infants' slow processing abilities. Shorter-lived phoneme features are added stepwise, with the shortest acquired last. Our study shows that the ontogenetic acceleration of electrophysiology shapes early language acquisition by determining the duration of the acquired units.
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Affiliation(s)
- Katharina H. Menn
- Research Group Language Cycles, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstr. 1a, 04103 Leipzig, Germany
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstr. 1a, 04103 Leipzig, Germany
- International Max Planck Research School on Neuroscience of Communication: Function, Structure, and Plasticity, Stephanstr 1a, 04103 Leipzig, Germany
| | - Claudia Männel
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstr. 1a, 04103 Leipzig, Germany
- Department of Audiology and Phoniatrics, Charité – Universitätsmedizin Berlin, Augustenburger Platz 1, 13353 Berlin, Germany
| | - Lars Meyer
- Research Group Language Cycles, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstr. 1a, 04103 Leipzig, Germany
- Clinic for Phoniatrics and Pedaudiology, University Hospital Münster, Albert-Schweitzer-Campus 1, 48149 Münster, Germany
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9
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Van Hirtum T, Somers B, Dieudonné B, Verschueren E, Wouters J, Francart T. Neural envelope tracking predicts speech intelligibility and hearing aid benefit in children with hearing loss. Hear Res 2023; 439:108893. [PMID: 37806102 DOI: 10.1016/j.heares.2023.108893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 09/01/2023] [Accepted: 09/27/2023] [Indexed: 10/10/2023]
Abstract
Early assessment of hearing aid benefit is crucial, as the extent to which hearing aids provide audible speech information predicts speech and language outcomes. A growing body of research has proposed neural envelope tracking as an objective measure of speech intelligibility, particularly for individuals unable to provide reliable behavioral feedback. However, its potential for evaluating speech intelligibility and hearing aid benefit in children with hearing loss remains unexplored. In this study, we investigated neural envelope tracking in children with permanent hearing loss through two separate experiments. EEG data were recorded while children listened to age-appropriate stories (Experiment 1) or an animated movie (Experiment 2) under aided and unaided conditions (using personal hearing aids) at multiple stimulus intensities. Neural envelope tracking was evaluated using a linear decoder reconstructing the speech envelope from the EEG in the delta band (0.5-4 Hz). Additionally, we calculated temporal response functions (TRFs) to investigate the spatio-temporal dynamics of the response. In both experiments, neural tracking increased with increasing stimulus intensity, but only in the unaided condition. In the aided condition, neural tracking remained stable across a wide range of intensities, as long as speech intelligibility was maintained. Similarly, TRF amplitudes increased with increasing stimulus intensity in the unaided condition, while in the aided condition significant differences were found in TRF latency rather than TRF amplitude. This suggests that decreasing stimulus intensity does not necessarily impact neural tracking. Furthermore, the use of personal hearing aids significantly enhanced neural envelope tracking, particularly in challenging speech conditions that would be inaudible when unaided. Finally, we found a strong correlation between neural envelope tracking and behaviorally measured speech intelligibility for both narrated stories (Experiment 1) and movie stimuli (Experiment 2). Altogether, these findings indicate that neural envelope tracking could be a valuable tool for predicting speech intelligibility benefits derived from personal hearing aids in hearing-impaired children. Incorporating narrated stories or engaging movies expands the accessibility of these methods even in clinical settings, offering new avenues for using objective speech measures to guide pediatric audiology decision-making.
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Affiliation(s)
- Tilde Van Hirtum
- KU Leuven - University of Leuven, Department of Neurosciences, Experimental Oto-rhino-laryngology, Herestraat 49 bus 721, 3000 Leuven, Belgium
| | - Ben Somers
- KU Leuven - University of Leuven, Department of Neurosciences, Experimental Oto-rhino-laryngology, Herestraat 49 bus 721, 3000 Leuven, Belgium
| | - Benjamin Dieudonné
- KU Leuven - University of Leuven, Department of Neurosciences, Experimental Oto-rhino-laryngology, Herestraat 49 bus 721, 3000 Leuven, Belgium
| | - Eline Verschueren
- KU Leuven - University of Leuven, Department of Neurosciences, Experimental Oto-rhino-laryngology, Herestraat 49 bus 721, 3000 Leuven, Belgium
| | - Jan Wouters
- KU Leuven - University of Leuven, Department of Neurosciences, Experimental Oto-rhino-laryngology, Herestraat 49 bus 721, 3000 Leuven, Belgium
| | - Tom Francart
- KU Leuven - University of Leuven, Department of Neurosciences, Experimental Oto-rhino-laryngology, Herestraat 49 bus 721, 3000 Leuven, Belgium.
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10
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Daikoku T. Temporal dynamics of statistical learning in children's song contributes to phase entrainment and production of novel information in multiple cultures. Sci Rep 2023; 13:18041. [PMID: 37872404 PMCID: PMC10593840 DOI: 10.1038/s41598-023-45493-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Accepted: 10/20/2023] [Indexed: 10/25/2023] Open
Abstract
Statistical learning is thought to be linked to brain development. For example, statistical learning of language and music starts at an early age and is shown to play a significant role in acquiring the delta-band rhythm that is essential for language and music learning. However, it remains unclear how auditory cultural differences affect the statistical learning process and the resulting probabilistic and acoustic knowledge acquired through it. This study examined how children's songs are acquired through statistical learning. This study used a Hierarchical Bayesian statistical learning (HBSL) model, mimicking the statistical learning processes of the brain. Using this model, I conducted a simulation experiment to visualize the temporal dynamics of perception and production processes through statistical learning among different cultures. The model learned from a corpus of children's songs in MIDI format, which consists of English, German, Spanish, Japanese, and Korean songs as the training data. In this study, I investigated how the probability distribution of the model is transformed over 15 trials of learning in each song. Furthermore, using the probability distribution of each model over 15 trials of learning each song, new songs were probabilistically generated. The results suggested that, in learning processes, chunking and hierarchical knowledge increased gradually through 15 rounds of statistical learning for each piece of children's songs. In production processes, statistical learning led to the gradual increase of delta-band rhythm (1-3 Hz). Furthermore, by combining the acquired chunks and hierarchy through statistical learning, statistically novel music was generated gradually in comparison to the original songs (i.e. the training songs). These findings were observed consistently, in multiple cultures. The present study indicated that the statistical learning capacity of the brain, in multiple cultures, contributes to the acquisition and generation of delta-band rhythm, which is critical for acquiring language and music. It is suggested that cultural differences may not significantly modulate the statistical learning effects since statistical learning and slower rhythm processing are both essential functions in the human brain across cultures. Furthermore, statistical learning of children's songs leads to the acquisition of hierarchical knowledge and the ability to generate novel music. This study may provide a novel perspective on the developmental origins of creativity and the importance of statistical learning through early development.
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Affiliation(s)
- Tatsuya Daikoku
- Graduate School of Information Science and Technology, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8656, Japan.
- Center for Brain, Mind and KANSEI Sciences Research, Hiroshima University, Hiroshima, Japan.
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11
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Nguyen T, Flaten E, Trainor LJ, Novembre G. Early social communication through music: State of the art and future perspectives. Dev Cogn Neurosci 2023; 63:101279. [PMID: 37515832 PMCID: PMC10407289 DOI: 10.1016/j.dcn.2023.101279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 07/03/2023] [Accepted: 07/14/2023] [Indexed: 07/31/2023] Open
Abstract
A growing body of research shows that the universal capacity for music perception and production emerges early in development. Possibly building on this predisposition, caregivers around the world often communicate with infants using songs or speech entailing song-like characteristics. This suggests that music might be one of the earliest developing and most accessible forms of interpersonal communication, providing a platform for studying early communicative behavior. However, little research has examined music in truly communicative contexts. The current work aims to facilitate the development of experimental approaches that rely on dynamic and naturalistic social interactions. We first review two longstanding lines of research that examine musical interactions by focusing either on the caregiver or the infant. These include defining the acoustic and non-acoustic features that characterize infant-directed (ID) music, as well as behavioral and neurophysiological research examining infants' processing of musical timing and pitch. Next, we review recent studies looking at early musical interactions holistically. This research focuses on how caregivers and infants interact using music to achieve co-regulation, mutual engagement, and increase affiliation and prosocial behavior. We conclude by discussing methodological, technological, and analytical advances that might empower a comprehensive study of musical communication in early childhood.
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Affiliation(s)
- Trinh Nguyen
- Neuroscience of Perception and Action Lab, Italian Institute of Technology, Rome, Italy.
| | - Erica Flaten
- Department of Psychology, Neuroscience and Behavior, McMaster University, Hamilton, Canada
| | - Laurel J Trainor
- Department of Psychology, Neuroscience and Behavior, McMaster University, Hamilton, Canada; McMaster Institute for Music and the Mind, McMaster University, Hamilton, Canada; Rotman Research Institute, Baycrest Hospital, Toronto, Canada
| | - Giacomo Novembre
- Neuroscience of Perception and Action Lab, Italian Institute of Technology, Rome, Italy
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12
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Morrel J, Singapuri K, Landa RJ, Reetzke R. Neural correlates and predictors of speech and language development in infants at elevated likelihood for autism: a systematic review. Front Hum Neurosci 2023; 17:1211676. [PMID: 37662636 PMCID: PMC10469683 DOI: 10.3389/fnhum.2023.1211676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 07/25/2023] [Indexed: 09/05/2023] Open
Abstract
Autism spectrum disorder (ASD) is an increasingly prevalent and heterogeneous neurodevelopmental condition, characterized by social communicative differences, and a combination of repetitive behaviors, focused interests, and sensory sensitivities. Early speech and language delays are characteristic of young autistic children and are one of the first concerns reported by parents; often before their child's second birthday. Elucidating the neural mechanisms underlying these delays has the potential to improve early detection and intervention efforts. To fill this gap, this systematic review aimed to synthesize evidence on early neurobiological correlates and predictors of speech and language development across different neuroimaging modalities in infants with and without a family history of autism [at an elevated (EL infants) and low likelihood (LL infants) for developing autism, respectively]. A comprehensive, systematic review identified 24 peer-reviewed articles published between 2012 and 2023, utilizing structural magnetic resonance imaging (MRI; n = 2), functional MRI (fMRI; n = 4), functional near-infrared spectroscopy (fNIRS; n = 4), and electroencephalography (EEG; n = 14). Three main themes in results emerged: compared to LL infants, EL infants exhibited (1) atypical language-related neural lateralization; (2) alterations in structural and functional connectivity; and (3) mixed profiles of neural sensitivity to speech and non-speech stimuli, with some differences detected as early as 6 weeks of age. These findings suggest that neuroimaging techniques may be sensitive to early indicators of speech and language delays well before overt behavioral delays emerge. Future research should aim to harmonize experimental paradigms both within and across neuroimaging modalities and additionally address the feasibility, acceptability, and scalability of implementing such methodologies in non-academic, community-based settings.
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Affiliation(s)
- Jessica Morrel
- Center for Autism and Related Disorders, Kennedy Krieger Institute, Baltimore, MD, United States
| | - Kripi Singapuri
- Center for Neurodevelopmental and Imaging Research, Kennedy Krieger Institute, Baltimore, MD, United States
| | - Rebecca J. Landa
- Center for Autism and Related Disorders, Kennedy Krieger Institute, Baltimore, MD, United States
- Department of Psychiatry and Behavioral Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, United States
| | - Rachel Reetzke
- Center for Autism and Related Disorders, Kennedy Krieger Institute, Baltimore, MD, United States
- Department of Psychiatry and Behavioral Sciences, The Johns Hopkins University School of Medicine, Baltimore, MD, United States
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13
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Daikoku T, Kamermans K, Minatoya M. Exploring cognitive individuality and the underlying creativity in statistical learning and phase entrainment. EXCLI J 2023; 22:828-846. [PMID: 37720236 PMCID: PMC10502202 DOI: 10.17179/excli2023-6135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Figures] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Accepted: 08/02/2023] [Indexed: 09/19/2023]
Abstract
Statistical learning starts at an early age and is intimately linked to brain development and the emergence of individuality. Through such a long period of statistical learning, the brain updates and constructs statistical models, with the model's individuality changing based on the type and degree of stimulation received. However, the detailed mechanisms underlying this process are unknown. This paper argues three main points of statistical learning, including 1) cognitive individuality based on "reliability" of prediction, 2) the construction of information "hierarchy" through chunking, and 3) the acquisition of "1-3Hz rhythm" that is essential for early language and music learning. We developed a Hierarchical Bayesian Statistical Learning (HBSL) model that takes into account both reliability and hierarchy, mimicking the statistical learning processes of the brain. Using this model, we conducted a simulation experiment to visualize the temporal dynamics of perception and production processes through statistical learning. By modulating the sensitivity to sound stimuli, we simulated three cognitive models with different reliability on bottom-up sensory stimuli relative to top-down prior prediction: hypo-sensitive, normal-sensitive, and hyper-sensitive models. We suggested that statistical learning plays a crucial role in the acquisition of 1-3 Hz rhythm. Moreover, a hyper-sensitive model quickly learned the sensory statistics but became fixated on their internal model, making it difficult to generate new information, whereas a hypo-sensitive model has lower learning efficiency but may be more likely to generate new information. Various individual characteristics may not necessarily confer an overall advantage over others, as there may be a trade-off between learning efficiency and the ease of generating new information. This study has the potential to shed light on the heterogeneous nature of statistical learning, as well as the paradoxical phenomenon in which individuals with certain cognitive traits that impede specific types of perceptual abilities exhibit superior performance in creative contexts.
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Affiliation(s)
- Tatsuya Daikoku
- Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan
- Centre for Neuroscience in Education, University of Cambridge, Cambridge, UK
- Center for Brain, Mind and KANSEI Sciences Research, Hiroshima University, Hiroshima, Japan
| | - Kevin Kamermans
- Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan
| | - Maiko Minatoya
- Graduate School of Information Science and Technology, The University of Tokyo, Tokyo, Japan
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Ní Choisdealbha Á, Attaheri A, Rocha S, Mead N, Olawole-Scott H, Brusini P, Gibbon S, Boutris P, Grey C, Hines D, Williams I, Flanagan SA, Goswami U. Neural phase angle from two months when tracking speech and non-speech rhythm linked to language performance from 12 to 24 months. Brain Lang 2023; 243:105301. [PMID: 37399686 DOI: 10.1016/j.bandl.2023.105301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 06/05/2023] [Accepted: 06/28/2023] [Indexed: 07/05/2023]
Abstract
Atypical phase alignment of low-frequency neural oscillations to speech rhythm has been implicated in phonological deficits in developmental dyslexia. Atypical phase alignment to rhythm could thus also characterize infants at risk for later language difficulties. Here, we investigate phase-language mechanisms in a neurotypical infant sample. 122 two-, six- and nine-month-old infants were played speech and non-speech rhythms while EEG was recorded in a longitudinal design. The phase of infants' neural oscillations aligned consistently to the stimuli, with group-level convergence towards a common phase. Individual low-frequency phase alignment related to subsequent measures of language acquisition up to 24 months of age. Accordingly, individual differences in language acquisition are related to the phase alignment of cortical tracking of auditory and audiovisual rhythms in infancy, an automatic neural mechanism. Automatic rhythmic phase-language mechanisms could eventually serve as biomarkers, identifying at-risk infants and enabling intervention at the earliest stages of development.
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Affiliation(s)
| | - Adam Attaheri
- Centre for Neuroscience in Education, University of Cambridge, United Kingdom
| | - Sinead Rocha
- Centre for Neuroscience in Education, University of Cambridge, United Kingdom
| | - Natasha Mead
- Centre for Neuroscience in Education, University of Cambridge, United Kingdom
| | - Helen Olawole-Scott
- Centre for Neuroscience in Education, University of Cambridge, United Kingdom
| | - Perrine Brusini
- Centre for Neuroscience in Education, University of Cambridge, United Kingdom
| | - Samuel Gibbon
- Centre for Neuroscience in Education, University of Cambridge, United Kingdom
| | - Panagiotis Boutris
- Centre for Neuroscience in Education, University of Cambridge, United Kingdom
| | - Christina Grey
- Centre for Neuroscience in Education, University of Cambridge, United Kingdom
| | - Declan Hines
- Centre for Neuroscience in Education, University of Cambridge, United Kingdom
| | - Isabel Williams
- Centre for Neuroscience in Education, University of Cambridge, United Kingdom
| | - Sheila A Flanagan
- Centre for Neuroscience in Education, University of Cambridge, United Kingdom
| | - Usha Goswami
- Centre for Neuroscience in Education, University of Cambridge, United Kingdom.
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15
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Van Hirtum T, Somers B, Verschueren E, Dieudonné B, Francart T. Delta-band neural envelope tracking predicts speech intelligibility in noise in preschoolers. Hear Res 2023; 434:108785. [PMID: 37172414 DOI: 10.1016/j.heares.2023.108785] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 04/24/2023] [Accepted: 05/05/2023] [Indexed: 05/15/2023]
Abstract
Behavioral tests are currently the gold standard in measuring speech intelligibility. However, these tests can be difficult to administer in young children due to factors such as motivation, linguistic knowledge and cognitive skills. It has been shown that measures of neural envelope tracking can be used to predict speech intelligibility and overcome these issues. However, its potential as an objective measure for speech intelligibility in noise remains to be investigated in preschool children. Here, we evaluated neural envelope tracking as a function of signal-to-noise ratio (SNR) in 14 5-year-old children. We examined EEG responses to natural, continuous speech presented at different SNRs ranging from -8 (very difficult) to 8 dB SNR (very easy). As expected delta band (0.5-4 Hz) tracking increased with increasing stimulus SNR. However, this increase was not strictly monotonic as neural tracking reached a plateau between 0 and 4 dB SNR, similarly to the behavioral speech intelligibility outcomes. These findings indicate that neural tracking in the delta band remains stable, as long as the acoustical degradation of the speech signal does not reflect significant changes in speech intelligibility. Theta band tracking (4-8 Hz), on the other hand, was found to be drastically reduced and more easily affected by noise in children, making it less reliable as a measure of speech intelligibility. By contrast, neural envelope tracking in the delta band was directly associated with behavioral measures of speech intelligibility. This suggests that neural envelope tracking in the delta band is a valuable tool for evaluating speech-in-noise intelligibility in preschoolers, highlighting its potential as an objective measure of speech in difficult-to-test populations.
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Affiliation(s)
- Tilde Van Hirtum
- KU Leuven - University of Leuven, Department of Neurosciences, Experimental Oto-rhino-laryngology, Herestraat 49 bus 721, Leuven 3000, Belgium.
| | - Ben Somers
- KU Leuven - University of Leuven, Department of Neurosciences, Experimental Oto-rhino-laryngology, Herestraat 49 bus 721, Leuven 3000, Belgium
| | - Eline Verschueren
- KU Leuven - University of Leuven, Department of Neurosciences, Experimental Oto-rhino-laryngology, Herestraat 49 bus 721, Leuven 3000, Belgium
| | - Benjamin Dieudonné
- KU Leuven - University of Leuven, Department of Neurosciences, Experimental Oto-rhino-laryngology, Herestraat 49 bus 721, Leuven 3000, Belgium
| | - Tom Francart
- KU Leuven - University of Leuven, Department of Neurosciences, Experimental Oto-rhino-laryngology, Herestraat 49 bus 721, Leuven 3000, Belgium
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16
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Abstract
Even before infants utter their first words, they engage in highly coordinated vocal exchanges with their caregivers. During these so-called proto-conversations, caregiver-infant dyads use a presumably universal communication structure-turn-taking, which has been linked to favourable developmental outcomes. However, little is known about potential mechanisms involved in early turn-taking. Previous research pointed to interpersonal synchronization of brain activity between adults and preschool-aged children during turn-taking. Here, we assessed caregivers and infants at 4-6 months of age (N = 55) during a face-to-face interaction. We used functional-near infrared spectroscopy hyperscanning to measure dyads' brain activity and microcoded their turn-taking. We also measured infants' inter-hemispheric connectivity as an index for brain maturity and later vocabulary size and attachment security as developmental outcomes potentially linked to turn-taking. The results showed that more frequent turn-taking was related to interpersonal neural synchrony, but the strength of the relation decreased over the course of the proto-conversation. Importantly, turn-taking was positively associated with infant brain maturity and later vocabulary size, but not with later attachment security. Taken together, these findings shed light on mechanisms facilitating preverbal turn-taking and stress the importance of emerging turn-taking for child brain and language development. This article is part of a discussion meeting issue 'Face2face: advancing the science of social interaction'.
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Affiliation(s)
- Trinh Nguyen
- Department of Developmental and Educational Psychology, University of Vienna, Liebiggasse 5, 1010 Vienna, Austria.,Neuroscience of Perception and Action Lab, Italian Institute of Technology (IIT), Center for Life Nano and Neuro Science, Viale Regina Elena 291, 00161 Rome, Italy
| | - Lucie Zimmer
- Department of Psychology, Ludwig-Maximilians University Munich, Leopoldstrasse 13, 80802 Munich, Germany
| | - Stefanie Hoehl
- Department of Developmental and Educational Psychology, University of Vienna, Liebiggasse 5, 1010 Vienna, Austria
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17
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Marriott Haresign I, Phillips EAM, Whitehorn M, Lamagna F, Eliano M, Goupil L, Jones EJH, Wass SV. Gaze onsets during naturalistic infant-caregiver interaction associate with 'sender' but not 'receiver' neural responses, and do not lead to changes in inter-brain synchrony. Sci Rep 2023; 13:3555. [PMID: 36864074 PMCID: PMC9981599 DOI: 10.1038/s41598-023-28988-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 01/27/2023] [Indexed: 03/04/2023] Open
Abstract
Temporal coordination during infant-caregiver social interaction is thought to be crucial for supporting early language acquisition and cognitive development. Despite a growing prevalence of theories suggesting that increased inter-brain synchrony associates with many key aspects of social interactions such as mutual gaze, little is known about how this arises during development. Here, we investigated the role of mutual gaze onsets as a potential driver of inter-brain synchrony. We extracted dual EEG activity around naturally occurring gaze onsets during infant-caregiver social interactions in N = 55 dyads (mean age 12 months). We differentiated between two types of gaze onset, depending on each partners' role. 'Sender' gaze onsets were defined at a time when either the adult or the infant made a gaze shift towards their partner at a time when their partner was either already looking at them (mutual) or not looking at them (non-mutual). 'Receiver' gaze onsets were defined at a time when their partner made a gaze shift towards them at a time when either the adult or the infant was already looking at their partner (mutual) or not (non-mutual). Contrary to our hypothesis we found that, during a naturalistic interaction, both mutual and non-mutual gaze onsets were associated with changes in the sender, but not the receiver's brain activity and were not associated with increases in inter-brain synchrony above baseline. Further, we found that mutual, compared to non-mutual gaze onsets were not associated with increased inter brain synchrony. Overall, our results suggest that the effects of mutual gaze are strongest at the intra-brain level, in the 'sender' but not the 'receiver' of the mutual gaze.
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Affiliation(s)
| | - E A M Phillips
- Department of Psychology, University of East London, London, E15 4LZ, UK
| | - M Whitehorn
- Department of Psychology, University of East London, London, E15 4LZ, UK
| | - F Lamagna
- Department of Psychology, University of East London, London, E15 4LZ, UK
| | - M Eliano
- Department of Psychology, University of East London, London, E15 4LZ, UK
| | - L Goupil
- LPNC/CNRS, Grenoble Alpes University, Grenoble, France
| | - E J H Jones
- Centre for Brain and Cognitive Development, Birkbeck College, University of London, London, UK
| | - S V Wass
- Department of Psychology, University of East London, London, E15 4LZ, UK
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18
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Carta S, Mangiacotti AMA, Valdes AL, Reilly RB, Franco F, Di Liberto GM. The impact of temporal synchronisation imprecision on TRF analyses. J Neurosci Methods 2023; 385:109765. [PMID: 36481165 DOI: 10.1016/j.jneumeth.2022.109765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 11/17/2022] [Accepted: 12/02/2022] [Indexed: 12/12/2022]
Affiliation(s)
- Sara Carta
- ADAPT Centre, Trinity College, The University of Dublin, Ireland; School of Computer Science and Statistics, Trinity College, The University of Dublin, Ireland
| | - Anthony M A Mangiacotti
- Department of Psychology, Middlesex University, London, United Kingdom; FISPPA Department, University of Padova, Padova, Italy
| | - Alejandro Lopez Valdes
- Trinity Centre for Biomedical Engineering, Trinity College, The University of Dublin, Ireland; Global Brain Health Institute, Trinity College, The University of Dublin, Ireland; Trinity College Institute of Neuroscience, Trinity College, The University of Dublin, Ireland; School of Engineering, Trinity College, The University of Dublin, Ireland
| | - Richard B Reilly
- Trinity Centre for Biomedical Engineering, Trinity College, The University of Dublin, Ireland; Trinity College Institute of Neuroscience, Trinity College, The University of Dublin, Ireland; School of Engineering, Trinity College, The University of Dublin, Ireland; School of Medicine, Trinity College, The University of Dublin, Ireland
| | - Fabia Franco
- Department of Psychology, Middlesex University, London, United Kingdom
| | - Giovanni M Di Liberto
- ADAPT Centre, Trinity College, The University of Dublin, Ireland; School of Computer Science and Statistics, Trinity College, The University of Dublin, Ireland; Trinity College Institute of Neuroscience, Trinity College, The University of Dublin, Ireland.
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19
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Zhang S, Chen D, Tang Y, Li X. Learning graph-based relationship of dual-modal features towards subject adaptive ASD assessment. Neurocomputing 2023. [DOI: 10.1016/j.neucom.2022.10.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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Peter V, Goswami U, Burnham D, Kalashnikova M. Impaired neural entrainment to low frequency amplitude modulations in English-speaking children with dyslexia or dyslexia and DLD. Brain Lang 2023; 236:105217. [PMID: 36529116 DOI: 10.1016/j.bandl.2022.105217] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 08/19/2022] [Accepted: 12/09/2022] [Indexed: 06/17/2023]
Abstract
Neural synchronization to amplitude-modulated noise at three frequencies (2 Hz, 5 Hz, 8 Hz) thought to be important for syllable perception was investigated in English-speaking school-aged children. The theoretically-important delta-band (∼2Hz, stressed syllable level) was included along with two syllable-level rates. The auditory steady state response (ASSR) was recorded using EEG in 36 7-to-12-year-old children. Half of the sample had either dyslexia or dyslexia and DLD (developmental language disorder). In comparison to typically-developing children, children with dyslexia or with dyslexia and DLD showed reduced ASSRs for 2 Hz stimulation but similar ASSRs at 5 Hz and 8 Hz. These novel data for English ASSRs converge with prior data suggesting that children with dyslexia have atypical synchrony between brain oscillations and incoming auditory stimulation at ∼ 2 Hz, the rate of stressed syllable production across languages. This atypical synchronization likely impairs speech processing, phonological processing, and possibly syntactic processing, as predicted by Temporal Sampling theory.
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Affiliation(s)
- Varghese Peter
- MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Australia; School of Health and Behavioural Sciences, University of the Sunshine Coast, Australia
| | - Usha Goswami
- Centre for Neuroscience in Education, University of Cambridge, UK
| | - Denis Burnham
- MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Australia
| | - Marina Kalashnikova
- MARCS Institute for Brain, Behaviour and Development, Western Sydney University, Australia; BCBL. Basque Center on Cognition, Brain and Language, Spain; Ikerbasque, Basque Foundation for Science, Bilbao, Spain.
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21
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Haartsen R, Charman T, Pasco G, Johnson MH, Jones EJH. Modulation of EEG theta by naturalistic social content is not altered in infants with family history of autism. Sci Rep 2022; 12:20758. [PMID: 36456597 PMCID: PMC9715667 DOI: 10.1038/s41598-022-24870-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 11/22/2022] [Indexed: 12/05/2022] Open
Abstract
Theta oscillations (spectral power and connectivity) are sensitive to the social content of an experience in typically developing infants, providing a possible marker of early social brain development. Autism is a neurodevelopmental condition affecting early social behaviour, but links to underlying social brain function remain unclear. We explored whether modulations of theta spectral power and connectivity by naturalistic social content in infancy are related to family history for autism. Fourteen-month-old infants with (family history; FH; N = 75) and without (no family history; NFH; N = 26) a first-degree relative with autism watched social and non-social videos during EEG recording. We calculated theta (4-5 Hz) spectral power and connectivity modulations (social-non-social) and associated them with outcomes at 36 months. We replicated previous findings of increased theta power and connectivity during social compared to non-social videos. Theta modulations with social content were similar between groups, for both power and connectivity. Together, these findings suggest that neural responses to naturalistic social stimuli may not be strongly altered in 14-month-old infants with family history of autism.
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Affiliation(s)
- Rianne Haartsen
- Centre for Brain and Cognitive Development, Birkbeck College, University of London, London, WC1E 7HX, UK.
- ToddlerLab, Birkbeck, University of London, Malet Street, London, WC1E 7HX, UK.
| | - Tony Charman
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London, SE5 8AF, UK
- South London and Maudsley NHS Foundation Trust, Bethlem Royal Hospital, Monks Orchard Road, Beckenham, Kent, BR3 3BX, UK
| | - Greg Pasco
- Department of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London, SE5 8AF, UK
| | - Mark H Johnson
- Centre for Brain and Cognitive Development, Birkbeck College, University of London, London, WC1E 7HX, UK
- Department of Psychology, University of Cambridge, Cambridge, UK
| | - Emily J H Jones
- Centre for Brain and Cognitive Development, Birkbeck College, University of London, London, WC1E 7HX, UK
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22
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Cantiani C, Dondena C, Molteni M, Riva V, Piazza C. Synchronizing with the rhythm: Infant neural entrainment to complex musical and speech stimuli. Front Psychol 2022; 13:944670. [PMID: 36337544 PMCID: PMC9635850 DOI: 10.3389/fpsyg.2022.944670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Accepted: 09/22/2022] [Indexed: 11/14/2022] Open
Abstract
Neural entrainment is defined as the process whereby brain activity, and more specifically neuronal oscillations measured by EEG, synchronize with exogenous stimulus rhythms. Despite the importance that neural oscillations have assumed in recent years in the field of auditory neuroscience and speech perception, in human infants the oscillatory brain rhythms and their synchronization with complex auditory exogenous rhythms are still relatively unexplored. In the present study, we investigate infant neural entrainment to complex non-speech (musical) and speech rhythmic stimuli; we provide a developmental analysis to explore potential similarities and differences between infants’ and adults’ ability to entrain to the stimuli; and we analyze the associations between infants’ neural entrainment measures and the concurrent level of development. 25 8-month-old infants were included in the study. Their EEG signals were recorded while they passively listened to non-speech and speech rhythmic stimuli modulated at different rates. In addition, Bayley Scales were administered to all infants to assess their cognitive, language, and social-emotional development. Neural entrainment to the incoming rhythms was measured in the form of peaks emerging from the EEG spectrum at frequencies corresponding to the rhythm envelope. Analyses of the EEG spectrum revealed clear responses above the noise floor at frequencies corresponding to the rhythm envelope, suggesting that – similarly to adults – infants at 8 months of age were capable of entraining to the incoming complex auditory rhythms. Infants’ measures of neural entrainment were associated with concurrent measures of cognitive and social-emotional development.
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Affiliation(s)
- Chiara Cantiani
- Child Psychopathology Unit, Scientific Institute, IRCCS Eugenio Medea, Lecco, Italy
- *Correspondence: Chiara Cantiani,
| | - Chiara Dondena
- Child Psychopathology Unit, Scientific Institute, IRCCS Eugenio Medea, Lecco, Italy
| | - Massimo Molteni
- Child Psychopathology Unit, Scientific Institute, IRCCS Eugenio Medea, Lecco, Italy
| | - Valentina Riva
- Child Psychopathology Unit, Scientific Institute, IRCCS Eugenio Medea, Lecco, Italy
| | - Caterina Piazza
- Bioengineering Lab, Scientific Institute, IRCCS Eugenio Medea, Lecco, Italy
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Pérez-Navarro J, Lallier M, Clark C, Flanagan S, Goswami U. Local Temporal Regularities in Child-Directed Speech in Spanish. J Speech Lang Hear Res 2022; 65:3776-3788. [PMID: 36194778 DOI: 10.1044/2022_jslhr-22-00111] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
PURPOSE The purpose of this study is to characterize the local (utterance-level) temporal regularities of child-directed speech (CDS) that might facilitate phonological development in Spanish, classically termed a syllable-timed language. METHOD Eighteen female adults addressed their 4-year-old children versus other adults spontaneously and also read aloud (CDS vs. adult-directed speech [ADS]). We compared CDS and ADS speech productions using a spectrotemporal model (Leong & Goswami, 2015), obtaining three temporal metrics: (a) distribution of modulation energy, (b) temporal regularity of stressed syllables, and (c) syllable rate. RESULTS CDS was characterized by (a) significantly greater modulation energy in the lower frequencies (0.5-4 Hz), (b) more regular rhythmic occurrence of stressed syllables, and (c) a slower syllable rate than ADS, across both spontaneous and read conditions. DISCUSSION CDS is characterized by a robust local temporal organization (i.e., within utterances) with amplitude modulation bands aligning with delta and theta electrophysiological frequency bands, respectively, showing greater phase synchronization than in ADS, facilitating parsing of stress units and syllables. These temporal regularities, together with the slower rate of production of CDS, might support the automatic extraction of phonological units in speech and hence support the phonological development of children. SUPPLEMENTAL MATERIAL https://doi.org/10.23641/asha.21210893.
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Affiliation(s)
- Jose Pérez-Navarro
- BCBL, Basque Center on Cognition, Brain and Language, Donostia-San Sebastián, Spain
- University of the Basque Country UPV/EHU, Donostia-San Sebastián, Spain
| | - Marie Lallier
- BCBL, Basque Center on Cognition, Brain and Language, Donostia-San Sebastián, Spain
| | - Catherine Clark
- BCBL, Basque Center on Cognition, Brain and Language, Donostia-San Sebastián, Spain
- University of the Basque Country UPV/EHU, Donostia-San Sebastián, Spain
| | - Sheila Flanagan
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, United Kingdom
| | - Usha Goswami
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, United Kingdom
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Menn KH, Ward EK, Braukmann R, van den Boomen C, Buitelaar J, Hunnius S, Snijders TM. Neural Tracking in Infancy Predicts Language Development in Children With and Without Family History of Autism. Neurobiol Lang (Camb) 2022; 3:495-514. [PMID: 37216063 PMCID: PMC10158647 DOI: 10.1162/nol_a_00074] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Accepted: 05/16/2022] [Indexed: 05/24/2023]
Abstract
During speech processing, neural activity in non-autistic adults and infants tracks the speech envelope. Recent research in adults indicates that this neural tracking relates to linguistic knowledge and may be reduced in autism. Such reduced tracking, if present already in infancy, could impede language development. In the current study, we focused on children with a family history of autism, who often show a delay in first language acquisition. We investigated whether differences in tracking of sung nursery rhymes during infancy relate to language development and autism symptoms in childhood. We assessed speech-brain coherence at either 10 or 14 months of age in a total of 22 infants with high likelihood of autism due to family history and 19 infants without family history of autism. We analyzed the relationship between speech-brain coherence in these infants and their vocabulary at 24 months as well as autism symptoms at 36 months. Our results showed significant speech-brain coherence in the 10- and 14-month-old infants. We found no evidence for a relationship between speech-brain coherence and later autism symptoms. Importantly, speech-brain coherence in the stressed syllable rate (1-3 Hz) predicted later vocabulary. Follow-up analyses showed evidence for a relationship between tracking and vocabulary only in 10-month-olds but not in 14-month-olds and indicated possible differences between the likelihood groups. Thus, early tracking of sung nursery rhymes is related to language development in childhood.
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Affiliation(s)
- Katharina H. Menn
- Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Department of Neuropsychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Research Group Language Cycles, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- International Max Planck Research School on Neuroscience of Communication: Function, Structure, and Plasticity, Leipzig, Germany
| | - Emma K. Ward
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Ricarda Braukmann
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Carlijn van den Boomen
- Department of Experimental Psychology, Helmholtz Institute, Utrecht University, Utrecht, The Netherlands
| | - Jan Buitelaar
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Department of Cognitive Neuroscience, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Sabine Hunnius
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Tineke M. Snijders
- Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
- Cognitive Neuropsychology Department, Tilburg University
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25
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Hervé E, Mento G, Desnous B, François C. Challenges and new perspectives of developmental cognitive EEG studies. Neuroimage 2022; 260:119508. [PMID: 35882267 DOI: 10.1016/j.neuroimage.2022.119508] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 07/07/2022] [Accepted: 07/22/2022] [Indexed: 10/16/2022] Open
Abstract
Despite shared procedures with adults, electroencephalography (EEG) in early development presents many specificities that need to be considered for good quality data collection. In this paper, we provide an overview of the most representative early cognitive developmental EEG studies focusing on the specificities of this neuroimaging technique in young participants, such as attrition and artifacts. We also summarize the most representative results in developmental EEG research obtained in the time and time-frequency domains and use more advanced signal processing methods. Finally, we briefly introduce three recent standardized pipelines that will help promote replicability and comparability across experiments and ages. While this paper does not claim to be exhaustive, it aims to give a sufficiently large overview of the challenges and solutions available to conduct robust cognitive developmental EEG studies.
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Affiliation(s)
- Estelle Hervé
- CNRS, LPL, Aix-Marseille University, 5 Avenue Pasteur, Aix-en-Provence 13100, France
| | - Giovanni Mento
- Department of General Psychology, University of Padova, Padova 35131, Italy; Padua Neuroscience Center (PNC), University of Padova, Padova 35131, Italy
| | - Béatrice Desnous
- APHM, Reference Center for Rare Epilepsies, Timone Children Hospital, Aix-Marseille University, Marseille 13005, France; Inserm, INS, Aix-Marseille University, Marseille 13005, France
| | - Clément François
- CNRS, LPL, Aix-Marseille University, 5 Avenue Pasteur, Aix-en-Provence 13100, France.
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26
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Goswami U. Language acquisition and speech rhythm patterns: an auditory neuroscience perspective. R Soc Open Sci 2022; 9:211855. [PMID: 35911192 PMCID: PMC9326295 DOI: 10.1098/rsos.211855] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 07/04/2022] [Indexed: 06/15/2023]
Abstract
All human infants acquire language, but their brains do not know which language/s to prepare for. This observation suggests that there are fundamental components of the speech signal that contribute to building a language system, and fundamental neural processing mechanisms that use these components, which are shared across languages. Equally, disorders of language acquisition are found across all languages, with the most prevalent being developmental language disorder (approx. 7% prevalence), where oral language comprehension and production is atypical, and developmental dyslexia (approx. 7% prevalence), where written language acquisition is atypical. Recent advances in auditory neuroscience, along with advances in modelling the speech signal from an amplitude modulation (AM, intensity or energy change) perspective, have increased our understanding of both language acquisition and these developmental disorders. Speech rhythm patterns turn out to be fundamental to both sensory and neural linguistic processing. The rhythmic routines typical of childcare in many cultures, the parental practice of singing lullabies to infants, and the ubiquitous presence of BabyTalk (infant-directed speech) all enhance the fundamental AM components that contribute to building a linguistic brain.
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Affiliation(s)
- Usha Goswami
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge, UK
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27
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Rocha S, Addyman C. Assessing Sensorimotor Synchronisation in Toddlers Using the Lookit Online Experiment Platform and Automated Movement Extraction. Front Psychol 2022; 13:897230. [PMID: 35846621 PMCID: PMC9282044 DOI: 10.3389/fpsyg.2022.897230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2022] [Accepted: 06/06/2022] [Indexed: 11/13/2022] Open
Abstract
Adapting gross motor movement to match the tempo of auditory rhythmic stimulation (sensorimotor synchronisation; SMS) is a complex skill with a long developmental trajectory. Drumming tasks have previously been employed with infants and young children to measure the emergence of rhythmic entrainment, and may provide a tool for identification of those with atypical rhythm perception and production. Here we describe a new protocol for measuring infant rhythmic movement that can be employed at scale. In the current study, 50 two-year-olds drummed along with the audiovisual presentation of four steady rhythms, using videos of isochronous drumming at 400, 500, 600, and 700 ms IOI, and provided their spontaneous motor tempo (SMT) by drumming in silence. Toddlers’ drumming is observed from video recordings made in participants’ own homes, obtained via the Lookit platform for online infant studies. We use OpenPose deep-learning model to generate wireframe estimates of hand and body location for each video. The vertical displacement of the hand was extracted, and the power and frequency of infants’ rhythmic entrainment quantified using Fast Fourier Transforms. We find evidence for age-appropriate tempo-flexibility in our sample. Our results demonstrate the feasibility of a fully digital approach to measuring rhythmic entrainment from within the participant’s home, from early in development.
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Affiliation(s)
- Sinead Rocha
- School of Psychology and Sport Science, Anglia Ruskin University, Cambridge, United Kingdom
- Department of Psychology, University of Cambridge, Cambridge, United Kingdom
- *Correspondence: Sinead Rocha,
| | - Caspar Addyman
- Department of Psychology, Goldsmiths, University of London, London, United Kingdom
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28
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Lau JCY, Fyshe A, Waxman SR. Rhythm May Be Key to Linking Language and Cognition in Young Infants: Evidence From Machine Learning. Front Psychol 2022; 13:894405. [PMID: 35693512 PMCID: PMC9178268 DOI: 10.3389/fpsyg.2022.894405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 05/03/2022] [Indexed: 11/30/2022] Open
Abstract
Rhythm is key to language acquisition. Across languages, rhythmic features highlight fundamental linguistic elements of the sound stream and structural relations among them. A sensitivity to rhythmic features, which begins in utero, is evident at birth. What is less clear is whether rhythm supports infants' earliest links between language and cognition. Prior evidence has documented that for infants as young as 3 and 4 months, listening to their native language (English) supports the core cognitive capacity of object categorization. This precocious link is initially part of a broader template: listening to a non-native language from the same rhythmic class as (e.g., German, but not Cantonese) and to vocalizations of non-human primates (e.g., lemur, Eulemur macaco flavifrons, but not birds e.g., zebra-finches, Taeniopygia guttata) provide English-acquiring infants the same cognitive advantage as does listening to their native language. Here, we implement a machine-learning (ML) approach to ask whether there are acoustic properties, available on the surface of these vocalizations, that permit infants' to identify which vocalizations are candidate links to cognition. We provided the model with a robust sample of vocalizations that, from the vantage point of English-acquiring 4-month-olds, either support object categorization (English, German, lemur vocalizations) or fail to do so (Cantonese, zebra-finch vocalizations). We assess (a) whether supervised ML classification models can distinguish those vocalizations that support cognition from those that do not, and (b) which class(es) of acoustic features (including rhythmic, spectral envelope, and pitch features) best support that classification. Our analysis reveals that principal components derived from rhythm-relevant acoustic features were among the most robust in supporting the classification. Classifications performed using temporal envelope components were also robust. These new findings provide in principle evidence that infants' earliest links between vocalizations and cognition may be subserved by their perceptual sensitivity to rhythmic and spectral elements available on the surface of these vocalizations, and that these may guide infants' identification of candidate links to cognition.
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Affiliation(s)
- Joseph C. Y. Lau
- Department of Psychology, Northwestern University, Evanston, IL, United States
- Institute for Policy Research, Northwestern University, Evanston, IL, United States
- Roxelyn and Richard Pepper Department of Communication Sciences and Disorders, Northwestern University, Evanston, IL, United States
| | - Alona Fyshe
- Department of Computing Science and Psychology, University of Alberta, Edmonton, AB, Canada
| | - Sandra R. Waxman
- Department of Psychology, Northwestern University, Evanston, IL, United States
- Institute for Policy Research, Northwestern University, Evanston, IL, United States
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29
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Keshavarzi M, Mandke K, Macfarlane A, Parvez L, Gabrielczyk F, Wilson A, Goswami U. Atypical delta-band phase consistency and atypical preferred phase in children with dyslexia during neural entrainment to rhythmic audio-visual speech. Neuroimage Clin 2022; 35:103054. [PMID: 35642984 PMCID: PMC9136320 DOI: 10.1016/j.nicl.2022.103054] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Revised: 04/13/2022] [Accepted: 05/18/2022] [Indexed: 11/18/2022]
Abstract
Children with and without dyslexia showed consistent phase entrainment. Dyslexic children had significantly reduced delta band phase consistency. Dyslexic children had a different preferred phase in delta compared to controls. The dyslexic brain showed faster pre-stimulus delta band angular velocity.
According to the sensory-neural Temporal Sampling theory of developmental dyslexia, neural sampling of auditory information at slow rates (<10 Hz, related to speech rhythm) is atypical in dyslexic individuals, particularly in the delta band (0.5–4 Hz). Here we examine the underlying neural mechanisms related to atypical sampling using a simple repetitive speech paradigm. Fifty-one children (21 control children [15M, 6F] and 30 children with dyslexia [16M, 14F]) aged 9 years with or without developmental dyslexia watched and listened as a ‘talking head’ repeated the syllable “ba” every 500 ms, while EEG was recorded. Occasionally a syllable was “out of time”, with a temporal delay calibrated individually and adaptively for each child so that it was detected around 79.4% of the time by a button press. Phase consistency in the delta (rate of stimulus delivery), theta (speech-related) and alpha (control) bands was evaluated for each child and each group. Significant phase consistency was found for both groups in the delta and theta bands, demonstrating neural entrainment, but not the alpha band. However, the children with dyslexia showed a different preferred phase and significantly reduced phase consistency compared to control children, in the delta band only. Analysis of pre- and post-stimulus angular velocity of group preferred phases revealed that the children in the dyslexic group showed an atypical response in the delta band only. The delta-band pre-stimulus angular velocity (−130 ms to 0 ms) for the dyslexic group appeared to be significantly faster compared to the control group. It is concluded that neural responding to simple beat-based stimuli may provide a unique neural marker of developmental dyslexia. The automatic nature of this neural response may enable new tools for diagnosis, as well as opening new avenues for remediation.
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Affiliation(s)
- Mahmoud Keshavarzi
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge CB2 3EB, United Kingdom.
| | - Kanad Mandke
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge CB2 3EB, United Kingdom
| | - Annabel Macfarlane
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge CB2 3EB, United Kingdom
| | - Lyla Parvez
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge CB2 3EB, United Kingdom
| | - Fiona Gabrielczyk
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge CB2 3EB, United Kingdom
| | - Angela Wilson
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge CB2 3EB, United Kingdom
| | - Usha Goswami
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge CB2 3EB, United Kingdom
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30
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Bánki A, Brzozowska A, Hoehl S, Köster M. Neural Entrainment vs. Stimulus-Tracking: A Conceptual Challenge for Rhythmic Perceptual Stimulation in Developmental Neuroscience. Front Psychol 2022; 13:878984. [PMID: 35602682 PMCID: PMC9121997 DOI: 10.3389/fpsyg.2022.878984] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Accepted: 04/11/2022] [Indexed: 11/13/2022] Open
Affiliation(s)
- Anna Bánki
- Faculty of Psychology, University of Vienna, Vienna, Austria
- *Correspondence: Anna Bánki
| | | | - Stefanie Hoehl
- Faculty of Psychology, University of Vienna, Vienna, Austria
| | - Moritz Köster
- Institute of Psychology, University of Regensburg, Regensburg, Germany
- Faculty of Education and Psychology, Freie Universität Berlin, Berlin, Germany
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31
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Phelps J, Attaheri A, Bozic M. How bilingualism modulates selective attention in children. Sci Rep 2022; 12:6381. [PMID: 35430617 PMCID: PMC9013372 DOI: 10.1038/s41598-022-09989-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Accepted: 03/31/2022] [Indexed: 11/09/2022] Open
Abstract
AbstractThere is substantial evidence that learning and using multiple languages modulates selective attention in children. The current study investigated the mechanisms that drive this modification. Specifically, we asked whether the need for constant management of competing languages in bilinguals increases attentional capacity, or draws on the available resources such that they need to be economised to support optimal task performance. Monolingual and bilingual children aged 7–12 attended to a narrative presented in one ear, while ignoring different types of interference in the other ear. We used EEG to capture the neural encoding of attended and unattended speech envelopes, and assess how well they can be reconstructed from the responses of the neuronal populations that encode them. Despite equivalent behavioral performance, monolingual and bilingual children encoded attended speech differently, with the pattern of encoding across conditions in bilinguals suggesting a redistribution of the available attentional capacity, rather than its enhancement.
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Attaheri A, Panayiotou D, Phillips A, Ní Choisdealbha Á, Di Liberto GM, Rocha S, Brusini P, Mead N, Flanagan S, Olawole-Scott H, Goswami U. Cortical Tracking of Sung Speech in Adults vs Infants: A Developmental Analysis. Front Neurosci 2022; 16:842447. [PMID: 35495026 PMCID: PMC9039340 DOI: 10.3389/fnins.2022.842447] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 02/23/2022] [Indexed: 11/28/2022] Open
Abstract
Here we duplicate a neural tracking paradigm, previously published with infants (aged 4 to 11 months), with adult participants, in order to explore potential developmental similarities and differences in entrainment. Adults listened and watched passively as nursery rhymes were sung or chanted in infant-directed speech. Whole-head EEG (128 channels) was recorded, and cortical tracking of the sung speech in the delta (0.5–4 Hz), theta (4–8 Hz) and alpha (8–12 Hz) frequency bands was computed using linear decoders (multivariate Temporal Response Function models, mTRFs). Phase-amplitude coupling (PAC) was also computed to assess whether delta and theta phases temporally organize higher-frequency amplitudes for adults in the same pattern as found in the infant brain. Similar to previous infant participants, the adults showed significant cortical tracking of the sung speech in both delta and theta bands. However, the frequencies associated with peaks in stimulus-induced spectral power (PSD) in the two populations were different. PAC was also different in the adults compared to the infants. PAC was stronger for theta- versus delta- driven coupling in adults but was equal for delta- versus theta-driven coupling in infants. Adults also showed a stimulus-induced increase in low alpha power that was absent in infants. This may suggest adult recruitment of other cognitive processes, possibly related to comprehension or attention. The comparative data suggest that while infant and adult brains utilize essentially the same cortical mechanisms to track linguistic input, the operation of and interplay between these mechanisms may change with age and language experience.
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Affiliation(s)
- Adam Attaheri
- Department of Psychology, Centre for Neuroscience in Education, University of Cambridge, Cambridge, United Kingdom
- *Correspondence: Adam Attaheri,
| | - Dimitris Panayiotou
- Department of Psychology, Centre for Neuroscience in Education, University of Cambridge, Cambridge, United Kingdom
| | - Alessia Phillips
- Department of Psychology, Centre for Neuroscience in Education, University of Cambridge, Cambridge, United Kingdom
| | - Áine Ní Choisdealbha
- Department of Psychology, Centre for Neuroscience in Education, University of Cambridge, Cambridge, United Kingdom
| | - Giovanni M. Di Liberto
- School of Computer Science and Statistics, Trinity College Dublin, Dublin, Ireland
- Laboratoire des Systèmes Perceptifs, UMR 8248, CNRS, Ecole Normale Supérieure, PSL Research University, Paris, France
| | - Sinead Rocha
- Department of Psychology, Centre for Neuroscience in Education, University of Cambridge, Cambridge, United Kingdom
| | - Perrine Brusini
- Department of Psychology, Centre for Neuroscience in Education, University of Cambridge, Cambridge, United Kingdom
- Institute of Population Health, University of Liverpool, Liverpool, United Kingdom
| | - Natasha Mead
- Department of Psychology, Centre for Neuroscience in Education, University of Cambridge, Cambridge, United Kingdom
| | - Sheila Flanagan
- Department of Psychology, Centre for Neuroscience in Education, University of Cambridge, Cambridge, United Kingdom
| | - Helen Olawole-Scott
- Department of Psychology, Centre for Neuroscience in Education, University of Cambridge, Cambridge, United Kingdom
| | - Usha Goswami
- Department of Psychology, Centre for Neuroscience in Education, University of Cambridge, Cambridge, United Kingdom
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33
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Ní Choisdealbha Á, Attaheri A, Rocha S, Brusini P, Flanagan SA, Mead N, Gibbon S, Olawole-Scott H, Williams I, Grey C, Boutris P, Ahmed H, Goswami U. Neural detection of changes in amplitude rise time in infancy. Dev Cogn Neurosci 2022; 54:101075. [PMID: 35078120 PMCID: PMC8792064 DOI: 10.1016/j.dcn.2022.101075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 12/21/2021] [Accepted: 01/19/2022] [Indexed: 11/03/2022] Open
Abstract
Amplitude rise times play a crucial role in the perception of rhythm in speech, and reduced perceptual sensitivity to differences in rise time is related to developmental language difficulties. Amplitude rise times also play a mechanistic role in neural entrainment to the speech amplitude envelope. Using an ERP paradigm, here we examined for the first time whether infants at the ages of seven and eleven months exhibit an auditory mismatch response to changes in the rise times of simple repeating auditory stimuli. We found that infants exhibited a mismatch response (MMR) to all of the oddball rise times used for the study. The MMR was more positive at seven than eleven months of age. At eleven months, there was a shift to a mismatch negativity (MMN) that was more pronounced over left fronto-central electrodes. The MMR over right fronto-central electrodes was sensitive to the size of the difference in rise time. The results indicate that neural processing of changes in rise time is present at seven months, supporting the possibility that early speech processing is facilitated by neural sensitivity to these important acoustic cues.
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Affiliation(s)
- Áine Ní Choisdealbha
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, United Kingdom.
| | - Adam Attaheri
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, United Kingdom
| | - Sinead Rocha
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, United Kingdom
| | - Perrine Brusini
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, United Kingdom
| | - Sheila A Flanagan
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, United Kingdom
| | - Natasha Mead
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, United Kingdom
| | - Samuel Gibbon
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, United Kingdom
| | - Helen Olawole-Scott
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, United Kingdom
| | - Isabel Williams
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, United Kingdom
| | - Christina Grey
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, United Kingdom
| | - Panagiotis Boutris
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, United Kingdom
| | - Henna Ahmed
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, United Kingdom
| | - Usha Goswami
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, United Kingdom
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Di Liberto GM, Hjortkjær J, Mesgarani N. Editorial: Neural Tracking: Closing the Gap Between Neurophysiology and Translational Medicine. Front Neurosci 2022; 16:872600. [PMID: 35368278 PMCID: PMC8966872 DOI: 10.3389/fnins.2022.872600] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 02/17/2022] [Indexed: 11/25/2022] Open
Affiliation(s)
- Giovanni M. Di Liberto
- School of Computer Science and Statistics, Trinity College Dublin, Dublin, Ireland
- ADAPT Centre, d-real, Trinity College Institute for Neuroscience, Dublin, Ireland
- *Correspondence: Giovanni M. Di Liberto
| | - Jens Hjortkjær
- Hearing Systems Group, Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Ireland
| | - Nima Mesgarani
- Electrical Engineering Department, Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, United States
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Mandke K, Flanagan S, Macfarlane A, Gabrielczyk F, Wilson A, Gross J, Goswami U. Neural sampling of the speech signal at different timescales by children with dyslexia. Neuroimage 2022; 253:119077. [PMID: 35278708 DOI: 10.1016/j.neuroimage.2022.119077] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Revised: 01/15/2022] [Accepted: 03/07/2022] [Indexed: 01/08/2023] Open
Abstract
Phonological difficulties characterize individuals with dyslexia across languages. Currently debated is whether these difficulties arise from atypical neural sampling of (or entrainment to) auditory information in speech at slow rates (<10 Hz, related to speech rhythm), faster rates, or neither. MEG studies with adults suggest that atypical sampling in dyslexia affects faster modulations in the neurophysiological gamma band, related to phoneme-level representation. However, dyslexic adults have had years of reduced experience in converting graphemes to phonemes, which could itself cause atypical gamma-band activity. The present study was designed to identify specific linguistic timescales at which English children with dyslexia may show atypical entrainment. Adopting a developmental focus, we hypothesized that children with dyslexia would show atypical entrainment to the prosodic and syllable-level information that is exaggerated in infant-directed speech and carried primarily by amplitude modulations <10 Hz. MEG was recorded in a naturalistic story-listening paradigm. The modulation bands related to different types of linguistic information were derived directly from the speech materials, and lagged coherence at multiple temporal rates spanning 0.9-40 Hz was computed. Group differences in lagged speech-brain coherence between children with dyslexia and control children were most marked in neurophysiological bands corresponding to stress and syllable-level information (<5 Hz in our materials), and phoneme-level information (12-40 Hz). Functional connectivity analyses showed network differences between groups in both hemispheres, with dyslexic children showing significantly reduced global network efficiency. Global network efficiency correlated with dyslexic children's oral language development and with control children's reading development. These developmental data suggest that dyslexia is characterized by atypical neural sampling of auditory information at slower rates. They also throw new light on the nature of the gamma band temporal sampling differences reported in MEG dyslexia studies with adults.
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Affiliation(s)
- Kanad Mandke
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge CB2 3EB, United Kingdom.
| | - Sheila Flanagan
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge CB2 3EB, United Kingdom
| | - Annabel Macfarlane
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge CB2 3EB, United Kingdom
| | - Fiona Gabrielczyk
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge CB2 3EB, United Kingdom
| | - Angela Wilson
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge CB2 3EB, United Kingdom
| | - Joachim Gross
- Institute for Biomagnetism and Biosignal Analysis, University of Münster, Münster, Germany
| | - Usha Goswami
- Centre for Neuroscience in Education, Department of Psychology, University of Cambridge, Cambridge CB2 3EB, United Kingdom
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36
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Menn KH, Michel C, Meyer L, Hoehl S, Männel C. Natural Infant-Directed Speech Facilitates Neural Tracking of Prosody. Neuroimage 2022;:118991. [PMID: 35158023 DOI: 10.1016/j.neuroimage.2022.118991] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Revised: 02/02/2022] [Accepted: 02/10/2022] [Indexed: 01/04/2023] Open
Abstract
Infants prefer to be addressed with infant-directed speech (IDS). IDS benefits language acquisition through amplified low-frequency amplitude modulations. It has been reported that this amplification increases electrophysiological tracking of IDS compared to adult-directed speech (ADS). It is still unknown which particular frequency band triggers this effect. Here, we compare tracking at the rates of syllables and prosodic stress, which are both critical to word segmentation and recognition. In mother-infant dyads (n=30), mothers described novel objects to their 9-month-olds while infants' EEG was recorded. For IDS, mothers were instructed to speak to their children as they typically do, while for ADS, mothers described the objects as if speaking with an adult. Phonetic analyses confirmed that pitch features were more prototypically infant-directed in the IDS-condition compared to the ADS-condition. Neural tracking of speech was assessed by speech-brain coherence, which measures the synchronization between speech envelope and EEG. Results revealed significant speech-brain coherence at both syllabic and prosodic stress rates, indicating that infants track speech in IDS and ADS at both rates. We found significantly higher speech-brain coherence for IDS compared to ADS in the prosodic stress rate but not the syllabic rate. This indicates that the IDS benefit arises primarily from enhanced prosodic stress. Thus, neural tracking is sensitive to parents' speech adaptations during natural interactions, possibly facilitating higher-level inferential processes such as word segmentation from continuous speech.
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Mittag M, Larson E, Taulu S, Clarke M, Kuhl PK. Reduced Theta Sampling in Infants at Risk for Dyslexia across the Sensitive Period of Native Phoneme Learning. Int J Environ Res Public Health 2022; 19:ijerph19031180. [PMID: 35162202 PMCID: PMC8835181 DOI: 10.3390/ijerph19031180] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Revised: 01/12/2022] [Accepted: 01/19/2022] [Indexed: 11/27/2022]
Abstract
Research on children and adults with developmental dyslexia-a specific difficulty in learning to read and spell-suggests that phonological deficits in dyslexia are linked to basic auditory deficits in temporal sampling. However, it remains undetermined whether such deficits are already present in infancy, especially during the sensitive period when the auditory system specializes in native phoneme perception. Because dyslexia is strongly hereditary, it is possible to examine infants for early predictors of the condition before detectable symptoms emerge. This study examines low-level auditory temporal sampling in infants at risk for dyslexia across the sensitive period of native phoneme learning. Using magnetoencephalography (MEG), we found deficient auditory sampling at theta in at-risk infants at both 6 and 12 months, indicating atypical auditory sampling at the syllabic rate in those infants across the sensitive period for native-language phoneme learning. This interpretation is supported by our additional finding that auditory sampling at theta predicted later vocabulary comprehension, nonlinguistic communication and the ability to combine words. Our results indicate a possible early marker of risk for dyslexia.
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Affiliation(s)
- Maria Mittag
- Institute for Learning & Brain Sciences, University of Washington, Seattle, WA 98195-7988, USA; (E.L.); (S.T.); (M.C.)
- Correspondence: (M.M.); (P.K.K.)
| | - Eric Larson
- Institute for Learning & Brain Sciences, University of Washington, Seattle, WA 98195-7988, USA; (E.L.); (S.T.); (M.C.)
| | - Samu Taulu
- Institute for Learning & Brain Sciences, University of Washington, Seattle, WA 98195-7988, USA; (E.L.); (S.T.); (M.C.)
- Department of Physics, University of Washington, Seattle, WA 98195-7988, USA
| | - Maggie Clarke
- Institute for Learning & Brain Sciences, University of Washington, Seattle, WA 98195-7988, USA; (E.L.); (S.T.); (M.C.)
| | - Patricia K. Kuhl
- Institute for Learning & Brain Sciences, University of Washington, Seattle, WA 98195-7988, USA; (E.L.); (S.T.); (M.C.)
- Correspondence: (M.M.); (P.K.K.)
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