Neural sampling of the speech signal at different timescales by children with dyslexia

被引:13
|
作者
Mandke, Kanad [1 ]
Flanagan, Sheila [1 ]
Macfarlane, Annabel [1 ]
Gabrielczyk, Fiona [1 ]
Wilson, Angela [1 ]
Gross, Joachim [2 ]
Goswami, Usha [1 ]
机构
[1] Univ Cambridge, Ctr Neurosci Educ, Dept Psychol, Cambridge CB2 3EB, England
[2] Univ Munster, Inst Biomagnetism & Biosignal Anal, Munster, Germany
关键词
Dyslexia; Magnetoencephalography; Neural oscillations; Speech processing; Phonological deficit; BRAIN; ENTRAINMENT; OSCILLATIONS; MODULATIONS; PERCEPTION; EEG; MEG; INTELLIGIBILITY; SYNCHRONIZATION; COMPREHENSION;
D O I
10.1016/j.neuroimage.2022.119077
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
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. Adopt-ing 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 am-plitude 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 co-herence 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 corre-lated 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.
引用
收藏
页数:14
相关论文
共 50 条
  • [31] The Speed of Articulatory Movements Involved in Speech Production in Children With Dyslexia
    Duranovic, Mirela
    Sehic, Sabina
    [J]. JOURNAL OF LEARNING DISABILITIES, 2013, 46 (03) : 278 - 286
  • [32] Neural correlates of sequence learning in children with developmental dyslexia
    Hedenius, Martina
    Persson, Jonas
    [J]. HUMAN BRAIN MAPPING, 2022, 43 (11) : 3559 - 3576
  • [33] Neural evidence of allophonic perception in children at risk for dyslexia
    Noordenbos, M. W.
    Segers, E.
    Serniclaes, W.
    Mitterer, H.
    Verhoeven, L.
    [J]. NEUROPSYCHOLOGIA, 2012, 50 (08) : 2010 - 2017
  • [34] Differentiating the neural response to intervention in children with developmental dyslexia
    Timothy N. Odegard
    Jeremiah Ring
    Stephanie Smith
    John Biggan
    Jeff Black
    [J]. Annals of Dyslexia, 2008, 58 : 1 - 14
  • [35] Differentiating the neural response to intervention in children with developmental dyslexia
    Odegard, Timothy N.
    Ring, Jeremiah
    Smith, Stephanie
    Biggan, John
    Black, Jeff
    [J]. ANNALS OF DYSLEXIA, 2008, 58 (01) : 1 - 14
  • [36] Individuals with dyslexia use a different visual sampling strategy to read text
    Franzen, Leon
    Stark, Zoey
    Johnson, Aaron P.
    [J]. SCIENTIFIC REPORTS, 2021, 11 (01)
  • [37] Individuals with dyslexia use a different visual sampling strategy to read text
    Léon Franzen
    Zoey Stark
    Aaron P. Johnson
    [J]. Scientific Reports, 11
  • [38] Speech Signal Filtering by Artificial Neural Networks
    Cherifi, El-Hadi
    Guerti, Mhania
    [J]. 2015 4TH INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING (ICEE), 2015, : 306 - +
  • [39] Atypical speech production of multisyllabic words and phrases by children with developmental dyslexia
    Keshavarzi, Mahmoud
    Di Liberto, Giovanni. M. M.
    Gabrielczyk, Fiona
    Wilson, Angela
    Macfarlane, Annabel
    Goswami, Usha
    [J]. DEVELOPMENTAL SCIENCE, 2024, 27 (01)
  • [40] Is There a Relationship Between Speech Identification in Noise and Categorical Perception in Children With Dyslexia?
    Calcus, Axelle
    Lorenzi, Christian
    Collet, Gregory
    Colin, Cecile
    Kolinsky, Regine
    [J]. JOURNAL OF SPEECH LANGUAGE AND HEARING RESEARCH, 2016, 59 (04): : 835 - 852