Predictors for estimating subcortical EEG responses to continuous speech

PLoS ONE, Год журнала: 2024, Номер 19(2), С. e0297826 - e0297826

Опубликована: Фев. 8, 2024

Perception of sounds and speech involves structures in the auditory brainstem that rapidly process ongoing stimuli. The role these processing can be investigated by measuring their electrical activity using scalp-mounted electrodes. However, typical analysis methods involve averaging neural responses to many short repetitive stimuli bear little relevance daily listening environments. Recently, subcortical more ecologically relevant continuous were detected linear encoding models. These estimate temporal response function (TRF), which is a regression model minimises error between measured signal predictor derived from stimulus. Using predictors highly non-linear peripheral system may improve TRF estimation accuracy peak detection. Here, we compare both simple complex models for estimating TRFs on electroencephalography (EEG) data 24 participants speech. We also investigate length required TRFs, find around 12 minutes sufficient clear wave V peaks (>3 dB SNR) seen nearly all participants. Interestingly, filterbank-based yield SNRs are not significantly different those estimated nerve, provided nonlinear effects adaptation appropriately modelled. Crucially, computing simpler than 50 times faster compared model. This work paves way efficient modelling detection speech, lead improved diagnosis metrics hearing impairment assistive technology.

Язык: Английский

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The Early Subcortical Response at the Fundamental Frequency of Speech Is Temporally Separated from Later Cortical Contributions

Journal of Cognitive Neuroscience, Год журнала: 2024, Номер 36(3), С. 475 - 491

Опубликована: Янв. 1, 2024

Abstract Most parts of speech are voiced, exhibiting a degree periodicity with fundamental frequency and many higher harmonics. Some neural populations respond to this temporal fine structure, in particular at the frequency. This frequency-following response consists both subcortical cortical contributions can be measured through EEG as well magnetoencephalography (MEG), although differ aspects activity that they capture: is sensitive radial tangential sources deep sources, whereas MEG more restrained measurement superficial activity. responses continuous have shown an early contribution, latency around 9 msec, agreement measurements short tokens, not yet revealed such component. Here, we analyze long segments speech. We find latencies 4–11 followed by later right-lateralized activities delays 20–58 msec potential activities. Our results show component FFR from participants its agrees EEG. They furthermore temporally separated contributions, enabling independent assessment components toward further processing.

Язык: Английский

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Attentional Modulation of the Cortical Contribution to the Frequency-Following Response Evoked by Continuous Speech

Journal of Neuroscience, Год журнала: 2023, Номер 43(44), С. 7429 - 7440

Опубликована: Окт. 4, 2023

Selective attention to one of several competing speakers is required for comprehending a target speaker among other voices and successful communication with them. It moreover has been found involve the neural tracking low-frequency speech rhythms in auditory cortex. Effects selective have also subcortical activities, particular regarding frequency-following response related fundamental frequency (speech-FFR). Recent investigations have, however, shown that speech-FFR contains cortical contributions as well. remains unclear whether these are modulated by attention. Here we used magnetoencephalography assess attentional modulation speech-FFR. We presented both male female participants two signals analyzed responses during switching between speakers. Our findings revealed robust contribution speech-FFR: were higher when was attended than they ignored. that, regardless attention, voice lower elicited larger frequency. results show does not only occur subcortically but extends cortex

Язык: Английский

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Neural entrainment to pitch changes of auditory targets in noise

NeuroImage, Год журнала: 2025, Номер unknown, С. 121270 - 121270

Опубликована: Май 1, 2025

Язык: Английский

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Decoding Envelope and Frequency-Following EEG Responses to Continuous Speech Using Deep Neural Networks

IEEE Open Journal of Signal Processing, Год журнала: 2024, Номер 5, С. 700 - 716

Опубликована: Янв. 1, 2024

The electroencephalogram (EEG) offers a non-invasive means by which listener's auditory system may be monitored during continuous speech perception. Reliable auditory-EEG decoders could facilitate the objective diagnosis of hearing disorders, or find applications in cognitively-steered aids. Previously, we developed for ICASSP Auditory EEG Signal Processing Grand Challenge (SPGC). These aimed to solve match-mismatch task: given short temporal segment recordings, and two candidate segments, task is identify segments temporally aligned, matched, with segment. made use cortical responses envelope, as well speech-related frequency-following responses, relate recordings stimuli. Here comprehensively document methods were developed. We extend our previous analysis exploring association between speaker characteristics (pitch sex) classification accuracy, provide full statistical final performance evaluated on heldout portion dataset. Finally, generalisation capabilities are characterised, evaluating them using an entirely different dataset contains recorded under variety speech-listening conditions. results show that achieve accurate robust accuracies, they can even serve attention without additional training.

Язык: Английский

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Cortical responses time-locked to continuous speech in the high-gamma band depend on selective attention

Frontiers in Neuroscience, Год журнала: 2023, Номер 17

Опубликована: Дек. 14, 2023

Auditory cortical responses to speech obtained by magnetoencephalography (MEG) show robust tracking the speaker's fundamental frequency in high-gamma band (70-200 Hz), but little is currently known about whether such depend on focus of selective attention. In this study 22 human subjects listened concurrent, fixed-rate, from male and female speakers, were asked selectively attend one speaker at a time, while their neural recorded with MEG. The pitch range coincided lower band, whereas higher had much less overlap, only upper end band. Neural analyzed using temporal response function (TRF) framework. As expected, demonstrate male's speech, peak latency ~40 ms. Critically, magnitude depends attention: significantly greater when attended than it not attended, under acoustically identical conditions. This clear demonstration that even very early auditory are influenced top-down, cognitive, processing mechanisms.

Язык: Английский

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Dataset size considerations for robust acoustic and phonetic speech encoding models in EEG

Frontiers in Human Neuroscience, Год журнала: 2023, Номер 16

Опубликована: Янв. 20, 2023

In many experiments that investigate auditory and speech processing in the brain using electroencephalography (EEG), experimental paradigm is often lengthy tedious. Typically, experimenter errs on side of including more data, trials, therefore conducting a longer task to ensure data are robust effects measurable. Recent studies used naturalistic stimuli brain's response individual or combination multiple features system identification techniques, such as multivariate temporal receptive field (mTRF) analyses. The neural collected from must be divided into training set test fit validate mTRF weights. While good strategy clearly collect much feasible, it unclear how needed achieve stable results. Furthermore, whether specific stimulus for fitting choice feature representation affects would required generalizable Here, we previously EEG our lab sentence movie well an open-source dataset audiobook better understand needs measuring acoustic phonetic tuning. We found structure tested here stabilizes after collecting approximately 200 s TIMIT sentences, around 600 trailers 460 data. Thus, provide suggestions minimum amount necessary mTRFs listening Our findings motivated by highly practical concerns when working with children, patient populations, others who may not tolerate long study sessions. These will aid future researchers wish healthy clinical populations while minimizing participant fatigue retaining signal quality.

Язык: Английский

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Early subcortical response at the fundamental frequency of continuous speech measured with MEG

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Июнь 26, 2023

Abstract Most parts of speech are voiced, exhibiting a degree periodicity with fundamental frequency and many higher harmonics. Some neural populations respond to this temporal fine structure, in particular at the frequency. This frequency-following response (speech-FFR) consists both subcortical cortical contributions can be measured through electroen-cephalography (EEG) as well magnetoencephalography (MEG), although differ aspects activity that they capture: EEG is sensitive radial tangential sources deep sources, while MEG more restrained measurement superficial activity. responses continuous have shown an early contribution, latency around 9 ms, agreement measurements short tokens, whereas not yet revealed such component. Here we analyze long segments speech. We find followed by later right-lateralized activities delays 20 - 57 ms potential activities. Our results show component FFR from MEG, its agrees EEG. They furthermore temporally separated contributions, enabling independent assessment components towards further processing.

Язык: Английский

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Predictors for estimating subcortical EEG responses to continuous speech

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Март 1, 2023

Abstract Perception of sounds and speech involves structures in the auditory brainstem that rapidly process ongoing stimuli. The role these processing can be investigated by measuring their electrical activity using scalp-mounted electrodes. However, typical analysis methods involve averaging neural responses to many short repetitive stimuli bear little relevance daily listening environments. Recently, subcortical more ecologically relevant continuous were detected linear encoding models. These estimate temporal response function (TRF), which is a regression model minimises error between measured signal predictor derived from stimulus. Using predictors highly non-linear peripheral system may improve TRF estimation accuracy peak detection. Here, we compare both simple complex models for estimating TRFs on electroencephalography (EEG) data 24 participants speech. We also discuss length required with clear peaks. Interestingly, resulted similar those estimated models, much faster compute. This work paves way efficient modelling detection speech, lead improved diagnosis metrics hearing impairment assistive technology.

Язык: Английский

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Attentional modulation of the cortical contribution to the frequency-following response evoked by continuous speech

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2023, Номер unknown

Опубликована: Июль 4, 2023

Abstract Selective attention to one of several competing speakers is required for comprehending a target speaker amongst other voices and successful communication with them. has been found involve the neural tracking low-frequency speech rhythms in auditory cortex. Effects selective have also subcortical activities, particular regarding high-frequency response at fundamental frequency speech, speech-FFR. Recent investigations have, however, shown that speech-FFR contains cortical contributions as well. It remains unclear whether these are modulated by attention. Here we employed magnetoencephalography (MEG) assess attentional modulation We presented participants two signals analyzed responses during switching between speakers. Our findings revealed robust contribution speech-FFR: were higher when was attended than they ignored. that, regardless attention, voice lower elicited larger frequency. results show does not only occur subcortically but extends cortex

Язык: Английский

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