Jochaut Delphine, Lehongre Katia, Saitovitch Ana, Devauchelle Anne-Dominique, Olasagasti Itsaso, Chabane Nadia, Zilbovicius Monica, Giraud Anne-Lise (2015), Atypical coordination of cortical oscillations in response to speech in autism., in Frontiers in human neuroscience
, 9, 171-171.
Arnal Luc H, Flinker Adeen, Kleinschmidt Andreas, Giraud Anne-Lise, Poeppel David (2015), Human screams occupy a privileged niche in the communication soundscape., in Current biology : CB
, 25(15), 2051-6.
Hyafil Alexandre, Giraud Anne-Lise, Fontolan Lorenzo, Gutkin Boris (2015), Neural Cross-Frequency Coupling: Connecting Architectures, Mechanisms, and Functions., in Trends in neurosciences
, 38(11), 725-40.
Olasagasti Itsaso, Bouton Sophie, Giraud Anne-Lise (2015), Prediction across sensory modalities: A neurocomputational model of the McGurk effect., in Cortex; a journal devoted to the study of the nervous system and behavior
, 68, 61-75.
Hyafil Alexandre, Fontolan Lorenzo, Kabdebon Claire, Gutkin Boris, Giraud Anne-Lise (2015), Speech encoding by coupled cortical theta and gamma oscillations., in eLife
, 4, 06213-06213.
Arnal Luc H, Poeppel David, Giraud Anne-Lise (2015), Temporal coding in the auditory cortex., in Handbook of clinical neurology
, 129, 85-98.
Fontolan L, Morillon B, Liegeois-Chauvel C, Giraud Anne-Lise (2014), The contribution of frequency-specific activity to hierarchical information processing in the human auditory cortex., in Nature communications
, 5, 4694-4694.
Lehongre Katia, Morillon Benjamin, Giraud Anne-Lise, Ramus Franck (2013), Impaired auditory sampling in dyslexia: further evidence from combined fMRI and EEG., in Frontiers in human neuroscience
, 7, 454-454.
Ghitza Oded, Giraud Anne-Lise, Poeppel David (2013), Neuronal oscillations and speech perception: critical-band temporal envelopes are the essence., in Frontiers in human neuroscience
, 6, 340-340.
Background: Speech is a quasi-periodic signal whose acoustic structure reflects the oscillatory neuronal behaviour of both the motor system that produces it and the auditory system that receives it. Here we hypothesize that cortical oscillations in auditory cortices serve important temporal integration functions in speech processing. We propose to experimentally and theoretically address their mechanical role in speech parsing, phonemic encoding and in the control of information transfer across auditory cortical stages.Aims/hypotheses: In Part 1 of this project we will determine whether theta auditory cortical oscillations are able to 1) phase-lock to speech modulations and adapt to individual speech rates, 2) temporally organize gamma activity so that gamma-framed spiking can encode syllables. In Part 2 we will specify how cortical oscillations are involved in speech predictive coding. We will address whether syllable-level predictions made during speech perception involve specific frequency channels.Methods: We will record neural activity from human auditory cortices using temporal lobe electrocoticography (ECoG) in epileptic patients (8/year), and acute combined macro- (local fiels potentials) and micro- (spiking) electrode recordings in oncologic patients with a tumour in auditory cortex vicinity (8/year). This effort to gain neurophysiological information at precise spatio-temporal scales will be combined with computational modelling. We will use an existing biophysical model of coupled gamma and theta oscillators that has the property to parse and encode speech (Hyafil et al., submitted). Using this model we will explore how auditory cortex adapts to speech rates, and emulate the auditory oscillatory dysfunctions we observed in dyslexia and autism (Lehongre et al., 2011; Giraud and Ramus, 2012; Roussillon et al. submitted). By the end of this project, we should be able to expand our model to three hierarchically organized cortical stages (n, n-1 and n+1) to address the control of information transfer by gamma and beta cortical oscillations.Potential value of the project: Using a combination of experimental and theoretical approaches we expect to characterize the bottom-up and top-down oscillation-based computations that take place during the first steps of speech decoding by the auditory cortex. We further expect to gain enough experimental and theoretical data to initiate a reverse engineering work in which we will evaluate the potential usefulness of incorporating oscillation-based neuromimetic routines in automatic speech recognition devices. Altogether, this project is expected to bring us in the position to critically assess whether periodic ensemble neural activity as cortical oscillations are a necessary ingredient of speech processing.