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1
Neural sampling of the speech signal at different timescales by children with dyslexia ...
Mandke, Kanad; Flanagan, Sheila; Macfarlane, Annabel. - : Apollo - University of Cambridge Repository, 2022
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2
Delta- and theta-band cortical tracking and phase-amplitude coupling to sung speech by infants.
Attaheri, Adam; Choisdealbha, Áine Ní; Di Liberto, Giovanni M. - : Elsevier BV, 2022. : Neuroimage, 2022
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3
Cortical Tracking of Sung Speech in Adults vs Infants: A Developmental Analysis
In: Front Neurosci (2022)
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4
Cortical Tracking of Sung Speech in Adults vs Infants: A Developmental Analysis
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.
URL: http://livrepository.liverpool.ac.uk/3153594/
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5
Machine learning accurately classifies neural responses to rhythmic speech vs. non-speech from 8-week-old infant EEG. ...
Gibbon, Samuel; Attaheri, Adam; Ní Choisdealbha, Áine. - : Apollo - University of Cambridge Repository, 2021
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6
Machine learning accurately classifies neural responses to rhythmic speech vs. non-speech from 8-week-old infant EEG.
Gibbon, Samuel; Attaheri, Adam; Ní Choisdealbha, Áine. - : Elsevier BV, 2021. : Brain Lang, 2021
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7
Machine learning accurately classifies neural responses to rhythmic speech vs. non-speech from 8-week-old infant EEG
In: Brain Lang (2021)
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8
The temporal modulation structure of illiterate versus literate adult speech
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9
Modelling the amplitude modulation structure of child phonology and morphology speech tasks ...
Goswami, Usha; Flanagan, Sheila. - : Apollo - University of Cambridge Repository, 2018
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10
The temporal modulation structure of illiterate versus literate adult speech. ...
Araújo, João; Flanagan, Sheila; Castro-Caldas, Alexandre. - : Apollo - University of Cambridge Repository, 2018
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11
The role of phase synchronisation between low frequency amplitude modulations in child phonology and morphology speech tasks. ...
Flanagan, Sheila; Goswami, Usha. - : Apollo - University of Cambridge Repository, 2018
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12
The role of phase synchronisation between low frequency amplitude modulations in child phonology and morphology speech tasks.
Flanagan, Sheila; Goswami, Usha. - : Acoustical Society of America (ASA), 2018. : J Acoust Soc Am, 2018
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13
The temporal modulation structure of illiterate versus literate adult speech.
Araújo, João; Flanagan, Sheila; Castro-Caldas, Alexandre. - : Public Library of Science (PLoS), 2018. : PLoS One, 2018
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14
Modelling the amplitude modulation structure of child phonology and morphology speech tasks
Goswami, Usha; Flanagan, Sheila. - : Acoustical Society of America, 2018. : Journal of the Acoustical Society of America, 2018
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15
The temporal modulation structure of illiterate versus literate adult speech
Araújo, João; Flanagan, Sheila; Castro-Caldas, Alexandre. - : Public Library of Science, 2018
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