Decoding of speech information using EEG in children with dyslexia: Less accurate low-frequency representations of speech, not 'Noisy' representations

Autor:	Mahmoud Keshavarzi, Kanad Mandke, Annabel Macfarlane, Lyla Parvez, Fiona Gabrielczyk, Angela Wilson, Sheila Flanagan, Usha Goswami
Přispěvatelé:	Apollo - University of Cambridge Repository
Rok vydání:	2022
Předmět:	Linguistics and Language Cognitive Neuroscience Developmental dyslexia Experimental and Cognitive Psychology Electroencephalography Language and Linguistics Backward linear model Dyslexia Speech and Hearing Speech Perception Humans Speech EEG Child Noise Speech decoding Speech envelope
Popis:	The amplitude envelope of speech carries crucial low-frequency acoustic information that assists linguistic decoding. The sensory-neural Temporal Sampling (TS) theory of developmental dyslexia proposes atypical encoding of speech envelope information
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc45f1fc857ab7b4b4ace5b3b1caf7ba https://www.repository.cam.ac.uk/handle/1810/342567 Zobrazit plný text záznamu