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Dynamic functional brain network connectivity during pseudoword processing relates to children’s reading skill
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Abstract:
Learning to read requires children to link print (orthography) with its corresponding speech sounds (phonology). Yet, most EEG studies of reading development focus on emerging functional specialization (e.g., developing increasingly refined orthographic representations), rather than directly measuring the functional connectivity that links orthography and phonology in real time. In this proof-of-concept study we relate children's reading skill to both orthographic specialization for print (via the N170, also called the N1, event related potential, ERP) and orthographic-phonological integration (via dynamic/event-related EEG phase synchronization – an index of functional brain network connectivity). Typically developing English speaking children (n = 24; 4–14 years) and control adults (n = 20; 18–35 years) viewed pseudowords, consonants and unfamiliar false fonts during a 1-back memory task while 64-channel EEG was recorded. Orthographic specialization (larger N170 for pseudowords vs. false fonts) became more left-lateralized with age, but not with reading skill. Conversely, children's reading skill correlated with functional brain network connectivity during pseudoword processing that requires orthography-phonology linking. This was seen during two periods of simultaneous low frequency synchronization/high frequency desynchronization of posterior-occipital brain network activity. Specifically, in stronger readers, left posterior-occipital activity showed more delta (1–3Hz) synchronization around 300–500 ms (simultaneous with gamma 30–80 Hz desynchronization) and more gamma desynchronization around 600–1000 ms (simultaneous with theta 3–7Hz synchronization) during pseudoword vs. false font processing. These effects were significant even when controlling for age (moderate – large effect sizes). Dynamic functional brain network connectivity measures the brain's real-time sound-print linking. It may offer an under-explored, yet sensitive, index of the neural plasticity associated with reading development. Reading requires us to link visual print with speech sound processing. Yet, most EEG reading research explores functional specialization not integration. While children's age relates to ERPs (N170) associated with print specialization. Children's reading skill relates to real-time functional brain network connectivity. EEG phase synchrony = sensitive index of functional integration during reading.
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Keyword:
Adolescent; Adult; Brain mapping; Brain research; Brain-diagnostic imaging; Child; Children's hospitals; EEG phase Synchrony (phase lag index); Electroencephalography; Evoked potentials; Functional brain network connectivity; Humans; N170; Neurosciences; Orthography; Phonetics; Phonology; preschool; Reading; Reading development; Young Adult
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URL: http://hdl.handle.net/10464/15658
https://doi.org/10.1016/j.neuropsychologia.2022.108181
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| 2 |
Computational Models in Electroencephalography.
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In: Brain topography, vol 35, iss 1 (2022)
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| 3 |
Functional Brain Networks and Verbal Fluency in Healthy Ageing ...
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| 4 |
Unified Coding of Spectral and Temporal Phonetic Cues: Electrophysiological Evidence for Abstract Phonological Features ...
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| 5 |
A Preliminary Report of Network Electroencephalographic Measures in Primary Progressive Apraxia of Speech and Aphasia
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In: Brain Sciences; Volume 12; Issue 3; Pages: 378 (2022)
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Spectral Entropy Monitoring Accelerates the Emergence from Sevoflurane Anesthesia in Thoracic Surgery: A Randomized Controlled Trial
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In: Journal of Clinical Medicine; Volume 11; Issue 6; Pages: 1631 (2022)
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| 7 |
Simultaneous Classification of Both Mental Workload and Stress Level Suitable for an Online Passive Brain–Computer Interface
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In: Sensors; Volume 22; Issue 2; Pages: 535 (2022)
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| 8 |
Rethinking the Methods and Algorithms for Inner Speech Decoding and Making Them Reproducible
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In: NeuroSci; Volume 3; Issue 2; Pages: 226-244 (2022)
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| 9 |
Unified Coding of Spectral and Temporal Phonetic Cues: Electrophysiological Evidence for Abstract Phonological Features
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| 10 |
A dimension reduction technique applied to regression on high dimension, low sample size neurophysiological data sets
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In: ISSN: 1471-2202 ; EISSN: 1471-2202 ; BMC Neuroscience ; https://hal.univ-grenoble-alpes.fr/hal-03374818 ; BMC Neuroscience, BioMed Central, 2021, 22 (1), ⟨10.1186/s12868-020-00605-0⟩ (2021)
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| 11 |
Somatosensory contribution to audio-visual speech processing
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In: ISSN: 0010-9452 ; Cortex ; https://hal.archives-ouvertes.fr/hal-03320604 ; Cortex, Elsevier, 2021, 143, pp.195-204. ⟨10.1016/j.cortex.2021.07.013⟩ ; https://doi.org/10.1016/j.cortex.2021.07.013 (2021)
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| 12 |
An ERP index of real-time error correction within a noisy-channel framework of human communication.
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| 13 |
Good Scientific Practice in MEEG Research: Progress and Perspectives
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In: https://hal.archives-ouvertes.fr/hal-03494100 ; 2021 (2021)
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| 14 |
Modality switch effects emerge early and increase throughout conceptual processing: Evidence from ERPs ...
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| 15 |
Human processing of transmitted speech varying in perceived quality ... : Menschliche Verarbeitung von technisch übertragener Sprache in unterschiedlich wahrgenommener Qualität ...
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Sustained neural rhythms reveal endogenous oscillations supporting speech perception. ...
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| 17 |
Application of Machine Learning to Electroencephalography for the Diagnosis of Primary Progressive Aphasia: A Pilot Study
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In: Brain Sciences ; Volume 11 ; Issue 10 (2021)
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| 18 |
Testing Low-Frequency Neural Activity in Sentence Understanding ...
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ВОЗДЕЙСТВИЕ ТЕХНОЛОГИЙ ВИРТУАЛЬНОЙ РЕАЛЬНОСТИ НА ПСИХОЭМОЦИОНАЛЬНОЕ СОСТОЯНИЕ ПАЦИЕНТОВ С АФАЗИЯМИ ... : The impact of virtual reality on the emotional state of patients with aphasia ...
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| 20 |
Testing Low-Frequency Neural Activity in Sentence Understanding
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