Brain activity reflects the predictability of word sequences in listened continuous speech

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http://hdl.handle.net/10138/319420

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Koskinen , M , Kurimo , M , Gross , J , Hyvärinen , A & Hari , R 2020 , ' Brain activity reflects the predictability of word sequences in listened continuous speech ' , NeuroImage , vol. 219 , 116936 . https://doi.org/10.1016/j.neuroimage.2020.116936

Title: Brain activity reflects the predictability of word sequences in listened continuous speech
Author: Koskinen, Miika; Kurimo, Mikko; Gross, Joachim; Hyvärinen, Aapo; Hari, Riitta
Contributor: University of Helsinki, HUSLAB
University of Helsinki, Department of Computer Science
Date: 2020-10-01
Language: eng
Number of pages: 9
Belongs to series: NeuroImage
ISSN: 1053-8119
URI: http://hdl.handle.net/10138/319420
Abstract: Natural speech builds on contextual relations that can prompt predictions of upcoming utterances. To study the neural underpinnings of such predictive processing we asked 10 healthy adults to listen to a 1-h-long audiobook while their magnetoencephalographic (MEG) brain activity was recorded. We correlated the MEG signals with acoustic speech envelope, as well as with estimates of Bayesian word probability with and without the contextual word sequence (N-gram and Unigram, respectively), with a focus on time-lags. The MEG signals of auditory and sensorimotor cortices were strongly coupled to the speech envelope at the rates of syllables (4-8 Hz) and of prosody and intonation (0.5-2 Hz). The probability structure of word sequences, independently of the acoustical features, affected the
Subject: Speech perception
Continuous speech
MEG
Language model
N-gram
Speech-brain coupling
Naturalistic neuroscience
Cerebral cortex
TEMPORAL RECEPTIVE WINDOWS
TURN-TAKING
RESPONSES
OSCILLATIONS
ENTRAINMENT
PREDICTION
MECHANISM
HIERARCHY
DYNAMICS
SIGNALS
3112 Neurosciences
3124 Neurology and psychiatry
3126 Surgery, anesthesiology, intensive care, radiology
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