ArticleFrontiers in human neuroscience2016
Visual Cortical Entrainment to Motion and Categorical Speech Features during Silent Lipreading.
Article in Frontiers in human neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- Articulatory timing and form support distinct neural benefits during audiovisual speech.bioRxiv : the preprint server for biology · 2026Article
- Transcranial Alternating Current Stimulation as an Adjuvant for Nonfluent Aphasia: A Proof-of-Concept Study.Bioengineering (Basel, Switzerland) · 2026Article
- Phonological Representations of Auditory and Visual Speech in the Occipito-temporal Cortex and Beyond.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- EEG of the Dancing Brain: Decoding Sensory, Motor, and Social Processes during Dyadic Dance.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Eye Movements in Silent Visual Speech Track Unheard Acoustic Signals and Relate to Hearing Experience.eNeuro · 2025Article
- Auditory cortex encodes lipreading information through spatially distributed activity.Current biology : CB · 2024Article
- Effects and prediction of cognitive load on encoding model of brain response to auditory and linguistic stimuli in educational multimedia.Scientific reports · 2024Article
- A representation of abstract linguistic categories in the visual system underlies successful lipreading.NeuroImage · 2023Article
- Lipreading a naturalistic narrative in a female population: Neural characteristics shared with listening and reading.Brain and behavior · 2023Article
- Cortical tracking of formant modulations derived from silently presented lip movements and its decline with age.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- Differential Auditory and Visual Phase-Locking Are Observed during Audio-Visual Benefit and Silent Lip-Reading for Speech Perception.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Editorial: Neural Tracking: Closing the Gap Between Neurophysiology and Translational Medicine.Frontiers in neuroscience · 2022Article
- Generalizable EEG Encoding Models with Naturalistic Audiovisual Stimuli.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- Neurophysiological Indices of Audiovisual Speech Processing Reveal a Hierarchy of Multisensory Integration Effects.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- Speech-Driven Facial Animations Improve Speech-in-Noise Comprehension of Humans.Frontiers in neuroscience · 2021Article
- Linear Modeling of Neurophysiological Responses to Speech and Other Continuous Stimuli: Methodological Considerations for Applied Research.Frontiers in neuroscience · 2021Review
- The phase of cortical oscillations determines the perceptual fate of visual cues in naturalistic audiovisual speech.Science advances · 2020Article
- Crossmodal Phase Reset and Evoked Responses Provide Complementary Mechanisms for the Influence of Visual Speech in Auditory Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2020Article
- Cortical tracking of speech in noise accounts for reading strategies in children.PLoS biology · 2020Article
- Using Coherence-based spectro-spatial filters for stimulus features prediction from electro-corticographic recordings.Scientific reports · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
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Abstract
Speech is a multisensory percept, comprising an auditory and visual component. While the content and processing pathways of audio speech have been well characterized, the visual component is less well understood. In this work, we expand current methodologies using system identification to introduce a framework that facilitates the study of visual speech in its natural, continuous form. Specifically, we use models based on the unheard acoustic envelope (E), the motion signal (M) and categorical visual speech features (V) to predict EEG activity during silent lipreading. Our results show that each of these models performs similarly at predicting EEG in visual regions and that respective combinations of the individual models (EV, MV, EM and EMV) provide an improved prediction of the neural activity over their constituent models. In comparing these different combinations, we find that the model incorporating all three types of features (EMV) outperforms the individual models, as well as both the EV and MV models, while it performs similarly to the EM model. Importantly, EM does not outperform EV and MV, which, considering the higher dimensionality of the V model, suggests that more data is needed to clarify this finding. Nevertheless, the performance of EMV, and comparisons of the subject performances for the three individual models, provides further evidence to suggest that visual regions are involved in both low-level processing of stimulus dynamics and categorical speech perception. This framework may prove useful for investigating modality-specific processing of visual speech under naturalistic conditions.
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