The pace of prosodic phrasing couples the listener's cortex to the reader's voice

Bourguignon, Mathieu; Tiège, Xavier De; Beeck, Marc Op De; Ligot, Noémie; Paquier, Philippe; Bogaert, Patrick Van; Goldman, Serge; Hari, Riitta; Jousmäki, Veikko

doi:10.1002/hbm.21442

Cited by 128 publications

(181 citation statements)

References 51 publications

(85 reference statements)

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“…As previously reported (Ahissar et al, 2001;Bourguignon et al, 2013a;Luo and Poeppel, 2007;Molinaro et al, 2016;Peelle et al, 2013;Vander Ghinst et al, 2016), MEG signals were coherent with speech temporal envelope at delta and theta frequencies (see Fig. 5).…”

Section: Location Comparison In Genuine Brain-speech Entrainment Datasupporting

confidence: 87%

“…When listening to speech, human auditory cortical activity in the delta and theta bands entrain to speech rhythmicity, that is the brainspeech entrainment phenomenon (Ahissar et al, 2001;Bourguignon et al, 2013a;Luo and Poeppel, 2007;Molinaro et al, 2016;Peelle et al, 2013;Vander Ghinst et al, 2016). The strength of brain-speech entrainment is enhanced when listening to intelligible speech compared to non-intelligible speech (Ahissar et al, 2001;Luo and Poeppel, 2007;Peelle et al, 2013).…”

Section: Brain-speech Entrainment Resultsmentioning

confidence: 99%

“…Procedure to generate simulated maps of coherence with a reference signal Our simulations of coherence with a reference signal were designed to tightly match real brain-speech entrainment data in which MEG signals from auditory regions of a listener are coherent with the temporal envelope of heard speech at~0.5 Hz and 4-8 Hz (Ahissar et al, 2001;Bourguignon et al, 2013a;Luo and Poeppel, 2007;Molinaro et al, 2016;Peelle et al, 2013;Vander Ghinst et al, 2016). Accordingly, we simulated coherence at 0.5 Hz between MEG data and a fixed reference signal taken as the speech envelope of a 5-min audio recording of a person reading a continuous text.…”

Section: Simulationsmentioning

confidence: 99%

“…The present simulations of MEG coherence maps were designed to tightly match real brain-speech entrainment data (Ahissar et al, 2001;Bourguignon et al, 2013a;Luo and Poeppel, 2007;Molinaro et al, 2016;Peelle et al, 2013;Vander Ghinst et al, 2016). Our method could however apply to cortex-muscle coherence Salenius et al, 1997Salenius et al, , 1996, corticokinmeatic coherence with active, passive or observed movements (Bourguignon et al, , 2012(Bourguignon et al, , 2011Jerbi et al, 2007;Marty et al, 2015;Piitulainen et al, 2015Piitulainen et al, , 2013aPiitulainen et al, , 2013b, and brain connectivity obtained with seed-based correlation or coherence (Brookes et al, 2012;de Pasquale et al, 2010;Hipp et al, 2012;Wens et al, 2014aWens et al, , 2014b.…”

Section: Perspectivesmentioning

confidence: 99%

“…In that method, we use a bootstrap procedure (Efron, 1979) to estimate a sample distribution of coordinates of maxima in the to-be-compared conditions, and we test the null hypothesis that the distance is zero. The sensitivity and specificity of this test are evaluated on simulated data and on real brain-speech entrainment data wherein brain activity is coherent with heard speech in a natural speech listening task (Ahissar et al, 2001;Bourguignon et al, 2013a;Luo and Poeppel, 2007;Molinaro et al, 2016;Peelle et al, 2013;Vander Ghinst et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

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Contrasting functional imaging parametric maps: The mislocation problem and alternative solutions

2018

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A B S T R A C TIn the field of neuroimaging, researchers often resort to contrasting parametric maps to identify differences between conditions or populations. Unfortunately, contrast patterns mix effects related to amplitude and location differences and tend to peak away from sources of genuine brain activity to an extent that scales with the smoothness of the maps. Here, we illustrate this mislocation problem on source maps reconstructed from magnetoencephalographic recordings and propose a novel, dedicated location-comparison method. In realistic simulations, contrast mislocation was on average~10 mm when genuine sources were placed at the same location, and was still above 5 mm when sources were 20 mm apart. The dedicated location-comparison method achieved a sensitivity of~90% when inter-source distance was 12 mm. Its benefit is also illustrated on real brain-speech entrainment data. In conclusion, contrasts of parametric maps provide precarious information for source location. To specifically address the question of location difference, one should turn to dedicated methods as the one proposed here.

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Section: Location Comparison In Genuine Brain-speech Entrainment Datasupporting

confidence: 87%

Section: Brain-speech Entrainment Resultsmentioning

confidence: 99%

Section: Simulationsmentioning

confidence: 99%

Section: Perspectivesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Contrasting functional imaging parametric maps: The mislocation problem and alternative solutions

2018

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Identifying fragments of natural speech from the listener's MEG signals

Koskinen

Viinikanoja

Kurimo

et al. 2012

Human Brain Mapping

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It is a challenge for current signal analysis approaches to identify the electrophysiological brain signatures of continuous natural speech that the subject is listening to. To relate magnetoencephalographic (MEG) brain responses to the physical properties of such speech stimuli, we applied canonical correlation analysis (CCA) and a Bayesian mixture of CCA analyzers to extract MEG features related to the speech envelope. Seven healthy adults listened to news for an hour while their brain signals were recorded with whole-scalp MEG. We found shared signal time series (canonical variates) between the MEG signals and speech envelopes at 0.5-12 Hz. By splitting the test signals into equal-length fragments from 2 to 65 s (corresponding to 703 down to 21 pieces per the total speech stimulus) we obtained better than chance-level identification for speech fragments longer than 2-3 s, not used in the model training. The applied analysis approach thus allowed identification of segments of natural speech by means of partial reconstruction of the continuous speech envelope (i.e., the intensity variations of the speech sounds) from MEG responses, provided means to empirically assess the time scales obtainable in speech decoding with the canonical variates, and it demonstrated accurate identification of the heard speech fragments from the MEG data.

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Developmental evaluation of atypical auditory sampling in dyslexia: Functional and structural evidence

Lizarazu

Lallier

Molinaro

et al. 2015

Human Brain Mapping

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Whether phonological deficits in developmental dyslexia are associated with impaired neural sampling of auditory information at either syllabic- or phonemic-rates is still under debate. In addition, whereas neuroanatomical alterations in auditory regions have been documented in dyslexic readers, whether and how these structural anomalies are linked to auditory sampling and reading deficits remains poorly understood. In this study, we measured auditory neural synchronization at different frequencies corresponding to relevant phonological spectral components of speech in children and adults with and without dyslexia, using magnetoencephalography. Furthermore, structural MRI was used to estimate cortical thickness of the auditory cortex of participants. Dyslexics showed atypical brain synchronization at both syllabic (slow) and phonemic (fast) rates. Interestingly, while a left hemispheric asymmetry in cortical thickness was functionally related to a stronger left hemispheric lateralization of neural synchronization to stimuli presented at the phonemic rate in skilled readers, the same anatomical index in dyslexics was related to a stronger right hemispheric dominance for neural synchronization to syllabic-rate auditory stimuli. These data suggest that the acoustic sampling deficit in development dyslexia might be linked to an atypical specialization of the auditory cortex to both low and high frequency amplitude modulations.

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The pace of prosodic phrasing couples the listener's cortex to the reader's voice

Cited by 128 publications

References 51 publications

Contrasting functional imaging parametric maps: The mislocation problem and alternative solutions

Contrasting functional imaging parametric maps: The mislocation problem and alternative solutions

Identifying fragments of natural speech from the listener's MEG signals

Developmental evaluation of atypical auditory sampling in dyslexia: Functional and structural evidence

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