John F. Houde

The paper develops a computational model to test cerebellar functions in speech feedback control, finding that internal modeling, timing dynamics, and multimodal integration explain speech abnormalities in cerebellar degeneration.

This study shows that sensory prediction errors, measured as reduced speaking-induced suppression in auditory cortex, drive speech sensorimotor adaptation during altered auditory feedback.

This paper uses Bayesian inference to estimate parameters of a state feedback control model for vocal pitch in cerebellar ataxia and healthy controls, finding differences in feedback sensitivity and motor response.

This study examines speech motor control in nfvPPA patients using structure-function imaging, finding reduced alpha-band activity and increased beta-band activity in specific brain regions, unrelated to atrophy patterns.

This study identifies abnormal neural oscillations in specific brain regions during different stages of phonation in laryngeal dystonia patients, revealing impaired motor preparation and auditory feedback processing.

This study investigates how svPPA patients process semantic tasks, finding increased perceptual processing and altered brain network engagement compared to healthy controls.

This paper investigates brain dynamics during irregular word reading in svPPA patients, showing increased reliance on the dorsal route when the ventral route is damaged.

The FACTS model replicates human speech motor control by integrating state estimation and task-based control, showing robustness to noise and feedback loss.

This study shows that beta-band activity in the medial prefrontal cortex during encoding and retrieval of self-generated information correlates with memory accuracy.

This study investigates speech motor control impairments in individuals with 16p11.2 deletions, finding exaggerated pitch compensation and reduced sensorimotor adaptation to auditory feedback changes.