Characterizing cortical signatures of inhibitory control

表征抑制控制的皮质特征

• 批准号: 10680339
• 负责人: Kelsey E Schultz
• 金额: $ 4.63万
• 依托单位: UNIVERSITY OF OREGON
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-08-21 至 2025-08-20
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10680339
• 关键词: Acceleration; Address; Adult; American; Anatomy; Area; Attention deficit hyperactivity disorder; Basal Ganglia; Behavioral; Brain; Child; Cognitive; Communication; Data; Development; Diagnosis; Disease; Dissociation; Electroencephalography; Electrophysiology (science); Epilepsy; Frequencies; Functional disorder; Hyperactivity; Inferior frontal gyrus; Knowledge; Methods; Modeling; Monitor; Motor; Motor Cortex; Motor output; Movement; Neurologic; Participant; Patient Monitoring; Performance; Persons; Physiological; Physiological Processes; Prefrontal Cortex; Prevalence; Process; Reaction; Research; Resistance; Resolution; Sampling; Scalp structure; Signal Transduction; Stimulant; System; Testing; Time; Treatment Protocols; cognitive control; diagnostic tool; inattention; innovation; neural; neurophysiology; neurosurgery; novel; pharmacologic; support network; treatment response; trial comparing

PROJECT SUMMARY Attention deficit hyperactivity disorder (ADHD) is a multifaceted disorder that impacts 11% of American children and persists into adulthood for roughly 1/3 of those diagnosed. The prevalence of ADHD surged by 42% between 2003 and 2011, sparking concern about the reliance on subjective diagnoses and treatment with stimulants. A comprehensive understanding of the neurophysiological basis of ADHD pathophysiology is a promising way to accelerate the development of objective diagnostic tools and expansion of treatment options. Current research suggests that disruption of the prefrontal-basal ganglia network that supports inhibitory control is a key factor in the cognitive (i.e. inattentiveness) and motoric (i.e. hyperactivity) inhibitory deficits associated with ADHD. This hypothesis is further supported by the relationship between ADHD and diminished prefrontal beta frequency activity (13-30Hz)- a putative signature of network communication between nodes of the inhibitory control system. Typical motor inhibition tasks used to study inhibitory control, such as the stop signal task, require comparing trials in which subjects moved to trials in which they withheld movement (i.e. comparing going to stopping) to identify neurological substrates of stopping. This comparison confounds physiological processes involved in motoric inhibition and the cognitive control processes preceding motoric inhibition. That is, activity underlying suppression of movement cannot be differentiated from that underlying reaction to a sudden change in environmental demands. Given the potential for these mechanisms to asymmetrically contribute to different facets of ADHD, the obfuscation of cognitive and motoric aspects of inhibition is a significant barrier to progress. To address this gap in knowledge, I developed a novel stop signal task that instructs participants to stop an on- going movement under conditions in which the stop signal is expected (planned stop) and unexpected (unplanned stop), providing an opportunity to isolate cognitive and motoric aspects of inhibition. Based on previous research, my central hypothesis is that I will observe prefrontal beta increases on unplanned stop trials in which subjects must react to a sudden change in environmental demands, reflecting cognitive aspects of inhibition, and I will observe beta increases in sensorimotor areas (but not prefrontal areas) on planned stop trials, reflecting suppression of physical movement. I will leverage my novel task to test this hypothesis by (1) using scalp electroencephalography to dissociate electrophysiological signatures associated with cognitive and motoric aspects of inhibition and (2) using intracranial electroencephalography to identify precise anatomical substrates contributing to cognitive and motoric aspects of inhibition. The information gained through this research will advance our understanding of the neurophysiological underpinnings of inhibitory control and pave the way for the potential use of EEG to diagnose ADHD and to monitor patient response to treatment regimens.

项目总结