Temporal response functions predict EEG from speech representations with cross-validated correlation

Evidence

Further analysis can be performed on the model weights returned by the linear regression, which can be interpreted as the activation of macroscopic areas of the cerebral cortex in response to continuous speech at specific delays (time-lags). In the case of the current dataset, the three conditions can be compared in terms of response to Env (not shown) and to Ph and Fea (Fig. 4a and b ). — Dijk, Pim van, Physiology, Psychoacoustics and…, 4422 (#expands, via linked claim)

Categorization

• corroborated: 2 independent passages support this claim
• XREF: connects to: Phonetic models predict EEG better, but only when speech is intelligible. — Dijk, Pim van, Physiology, Psychoacoustics and…, 4371; Phonemic and articulatory-feature speech representations can be encoded as multivariate EEG-regression predictors — Dijk, Pim van, Physiology, Psychoacoustics and…, 4371; Temporal response function weights index macroscopic cortical activation at specific speech delays. (+3 more)

Related

• Temporal response function weights index macroscopic cortical activation at specific speech delays. (similarity 0.94)
• TRF regression weights reflect cortical activation at specific speech delays (similarity 0.93)
• TRF models predict EEG from speech representations via cross-validated regression (similarity 0.90)
• Phonemic and articulatory-feature speech representations can be encoded as multivariate EEG-regression predictors (similarity 0.89)
• Phonetic models predict EEG better, but only when speech is intelligible. (similarity 0.88)
• Categorical phonetic features encode EEG information the speech envelope lacks (similarity 0.80)
• Brainstem response fidelity to stimuli can be measured via cross-correlation (similarity 0.80)
• Future speech-intelligibility studies should pair EEG with matching psychophysical stimuli (similarity 0.78)

Broader Connections

• Temporal response function weights index macroscopic cortical activation at specific speech delays. #expands (0.90)
• TRF regression weights reflect cortical activation at specific speech delays #expands (0.90) — Dijk, Pim van, Physiology, Psychoacoustics and…, 4422
• EEG and MEG non-invasively measure auditory-evoked neural responses #corroborates (0.80)
• The auditory cortex decodes speech from acoustically jumbled waveforms. #expands (0.72)