DIVA Meets EEG: Model Validation Using Formant-Shift Reflex

The neurocomputational model ‘Directions into Velocities of Articulators’ (DIVA) was developed to account for various aspects normal and disordered speech production acquisition. neural substrates DIVA were established through functional magnetic resonance imaging (fMRI), providing physiological validation the model. This study introduces DIVA_EEG an extension that utilizes electroencephalography (EEG) leverage high temporal resolution broad availability EEG over fMRI. For development DIVA_EEG, EEG-like signals derived from original equations describing activity different maps. Synthetic associated with utterance syllables generated when both unperturbed perturbed auditory feedback (first formant perturbations) simulated. cortical activation maps synthetic closely resembled those To validate individuals typical voices (N = 30) acquired during altered paradigm. resulting empirical brain significantly overlapped predicted by DIVA_EEG. In conjunction other recent extensions, lays foundations constructing a complete framework tackle vocal disorders, which can guide model-driven personalized interventions.