Speech and communication disorders often result in aberrant control of the timing of speech production, such as making improper stops at places where they should not be. During normal speech, the ability to stop when necessary is important for maintaining turn-taking in a smooth conversation. Existing studies have largely investigated neural circuits that support the preparation and generation of speech sounds. It is believed that activity in the prefrontal and premotor cortical areas facilitates high-level speech control and activity in the ventral part of the sensorimotor cortex controls the articulator (e.g. lip, jaw, tongue) movements. However, little is known about the neural mechanism controlling a sudden and voluntary stop of speech. Traditional view attributes this to a disengagement of motor signals while recent evidence suggested there may be an inhibitory control mechanism. This gap in knowledge limits our understanding of disorders like stuttering and aphasia, where deficits in speech timing control are among the common symptoms. The overall goal of this study is to determine how the brain controls the stopping of ongoing speech production to deepen our understanding of speech and communication in normal and impaired conditions.
High-density electrocorticography (ECoG) is a state-of-the-art technique with fine spatial and temporal resolutions that are well suited for studying the neural dynamics of speech. This study proposes to assess speech production in patients who are undergoing high-density ECoG recording to carry out clinical procedures for indications related to their medical condition. The research study team will investigate neural signals correlated with speech stopping using speech production and stopping tasks with visual cues. Electrical stimulation routinely used for language mapping will also be applied to test the causal effect on speech behavior in brain areas found to be activated during the speech tasks. The research study team will compare effects on neural activity and behavior within each individual subject and identify common patterns of activity across subjects. The aims of this study seek to define the premotor signal for the control of speech stopping (Aim 1), determine the effect of stop activity on articulatory control during stopping (Aim 2), and determine the role of the premotor network for stopping in conversation contexts (Aim 3). These aims will provide basic knowledge for the precise control of speech stopping and the control of speech timing in general, bridging the current speech production studies to real-world communication conditions, and help inspire new theories of speech motor control.