Jonas Vanthornhout

Interpersonal Synchronization of Brain and Body Tracks Attention and Listening Engagement

This study disentangles attention and listening engagement by manipulating both factors and finds that neural synchronization predicts attention while bodily and self-report measures predict engagement.

Large Language Models Reveal the Neural Tracking of Linguistic Context in Attended and Unattended Multi-Talker Speech

This study uses large language models to analyze how attention affects neural tracking of linguistic context in multi-talker speech environments.

Neural Tracking of Audiovisual Effects in Noise Using Deep Neural Network-Generated Virtual Humans

This study evaluates DNN-generated virtual humans for enhancing audiovisual speech perception in noise using behavioral and neural measures, finding they improve speech intelligibility compared to human speakers.

Comparison of Neural Tracking and Spectral Entropy in Patients with Disorders of Consciousness

This study compares neural tracking and spectral entropy in DoC patients to assess their brain responses to speech, finding correlations with clinical diagnosis and behavioral responsiveness.

In sync with sound: Interpersonal synchronization as an objective measure of listening engagement

This study shows that interpersonal synchronization of brain, heart, and skin responses correlates with subjective listening engagement during story listening.

Neural speech tracking benefit of lip movements predicts behavioral deterioration when the speaker's mouth is occluded

The paper shows that individual differences in neural speech tracking benefit from lip movements correlate with worse performance when visual speech is blocked by a mask.

Neural tracking of the speech envelope predicts binaural unmasking

This study shows that binaural unmasking improves speech understanding and neural tracking of the speech envelope, as measured by EEG, in noisy environments.

Auditory steady-state responses: multiplexed amplitude modulation frequencies to reduce recording time

This study compares single and multiplexed amplitude-modulated stimuli for auditory steady-state responses, finding that single stimuli yield higher signal-to-noise ratios but multiplexed stimuli reduce recording time.

Exploring neural tracking of acoustic and linguistic speech representations in individuals with post-stroke aphasia

This study investigates neural tracking of acoustic and linguistic speech representations in individuals with post-stroke aphasia and finds decreased neural tracking of acoustic speech properties compared to healthy controls.

Classifying native versus foreign speech perception from EEG using linguistic speech features

This study uses EEG and deep learning to classify native versus foreign speech perception based on linguistic features and observes differences in neural tracking patterns.

Neural substrates and behavioral relevance of speech envelope tracking: evidence from post-stroke aphasia

This study investigates neural envelope tracking in post-stroke aphasia, finding that lesions in language areas like the middle temporal gyrus are associated with poorer tracking, and that tracking relates to auditory and language skills.

Robust neural tracking of linguistic speech representations using a convolutional neural network.

The paper uses a convolutional neural network to analyze EEG data and shows it better captures linguistic speech features than linear models.

Heard or understood? Neural tracking of language features in a comprehensible story, an incomprehensible story and a word list

This study investigates neural tracking of speech comprehension by comparing comprehensible and incomprehensible stories and a word list, finding that language tracking, not acoustic tracking, reflects speech comprehension.

Beyond Linear Neural Envelope Tracking: A Mutual Information Approach

This paper compares linear and mutual information analyses of EEG data to study neural envelope tracking, finding that mutual information, particularly using Gaussian copula, better captures nonlinear speech processing.

Decoding of the speech envelope from EEG using the VLAAI deep neural network.

This paper introduces a deep neural network called VLAAI for decoding speech envelopes from EEG, showing improved performance over linear models and demonstrating good generalization across subjects and stimuli.

Neural tracking as a diagnostic tool to assess the auditory pathway

This paper reviews neural tracking as a framework to assess auditory and linguistic processing during speech perception, highlighting three analyses: f0-tracking, envelope tracking, and linguistic feature tracking.

Speech understanding oppositely affectsacoustic and linguistic neural tracking in aspeech rate manipulation paradigm.

The paper investigates how speech understanding affects acoustic and linguistic neural tracking by manipulating speech rate, finding that acoustic tracking increases while linguistic tracking decreases with higher speech rates.

Hearing loss is associated with delayed neural responses to continuous speech

This study shows that hearing loss is linked to delayed neural responses to continuous speech, with reduced efficiency in processing speech in quiet.

Neural markers of speech comprehension: measuring EEG tracking of linguistic speech representations, controlling the speech acoustics

The paper evaluates linguistic representations as neural markers of speech comprehension using EEG, finding that phoneme surprisal, cohort entropy, word surprisal, and word frequency are tracked beyond acoustic properties.

Effect of number and placement of EEG electrodes onmeasurement of neural tracking of speech

The paper evaluates how electrode number and placement affect neural speech tracking in EEG, finding optimal configurations for both subject-specific and subject-independent setups.

The effect of stimulus intensity on neural envelope tracking

This study investigates how stimulus intensity affects neural speech envelope tracking in normal-hearing participants using EEG and finds that envelope reconstruction is robust when the decoder is trained and tested on the same intensity.

Hearing impairment is associated with enhanced neural tracking of the speech envelope

This study finds that hearing impaired adults show enhanced neural tracking of speech envelopes compared to normal-hearing adults, suggesting improved speech segregation in noisy environments.

Top-down modulation of neural envelope tracking: the interplay with behavioral, self-reported and neural measures of listening effort

This study examines if neural envelope tracking is modulated by listening effort using behavioral, self-reported, and neural measures in young adults.

The effect of stimulus choice on an EEG-based objective measure of speech intelligibility

This paper investigates whether an EEG-based speech intelligibility measure works with natural speech, finding it feasible and showing enhanced neural tracking with natural stories.

Stimulus-aware spatial filtering for single-trial neural response and temporal response function estimation in high-density EEG with applications in auditory research

This paper introduces a stimulus-aware spatial filtering method for improving neural response and temporal response function estimation in EEG data, showing improved performance over standard approaches.

Effect of task and attention on neural tracking of speech

The paper investigates how attention and task affect neural tracking of speech using EEG, finding that attention levels significantly impact envelope tracking, especially in the right-frontal region.

Data-driven spatial filtering for improved measurement of cortical tracking of multiple representations of speech

The paper introduces a data-driven spatial filtering method to improve cortical tracking of speech in EEG by automatically selecting channels and incorporating phonetic features in Dutch.

Evidence for enhanced neural tracking of the speech envelope underlying age-related speech-in-noise difficulties

The paper investigates neural envelope tracking in hearing impaired and normal-hearing adults to understand speech-in-noise difficulties and finds enhanced tracking in hearing impaired individuals.

Predicting individual speech intelligibility from the neural tracking of acoustic- and phonetic-level speech representations

The paper predicts individual speech intelligibility from EEG by modeling cortical tracking of speech representations, finding that theta band and combined phonetic-spectrogram features best predict speech reception thresholds.

Speech intelligibility predicted from neural entrainment of the speech envelope

The paper demonstrates an electrophysiological measure of speech intelligibility by correlating decoded speech envelope from EEG with behavioral speech intelligibility scores.