Characterizing the interaction between neural attention and somato-motor systems in non-demented patients with Parkinson's disease

表征帕金森病非痴呆患者神经注意力和躯体运动系统之间的相互作用

• 批准号: 10579054
• 负责人: Alex I Wiesman
• 金额: $ 1.2万
• 依托单位: MCGILL UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-12-01 至 2023-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10579054
• 关键词: Affect; American; Attention; Attentional deficit; Behavior Therapy; Behavioral; Biological; Brain; Brain imaging; Cessation of life; Clinical; Cognitive; Computer software; Coupling; Data; Deep Brain Stimulation; Dementia; Disease; Dopaminergic Agents; Economics; Encapsulated; Environment; Exhibits; Feedback; Frequencies; Generations; Glean; Goals; Health; Hospitalization; Imaging Techniques; Impairment; Injury; Institutes; Intervention; Investigation; Laboratories; Link; Magnetism; Magnetoencephalography; Monitor; Motor; Motor Cortex; Movement; Neurobiology; Neurodegenerative Disorders; Neurologic; Neurosciences Research; Occipital lobe; Outcome; Parkinson Disease; Parkinson' s Dementia; Pathway interactions; Patient-Focused Outcomes; Patients; Pattern; Performance; Periodicity; Population; Prevalence; Process; Quality of life; Quebec; Regulation; Research; Research Project Grants; Resources; Risk; Risk Factors; Role; Scientist; Series; Short-Term Memory; Signal Transduction; Specificity; Stimulus; System; Techniques; Testing; Therapeutic Intervention; Training; Treatment Efficacy; United States; Universities; aging population; base; cognitive neuroscience; cognitive process; cognitive task; cost; data repository; effective therapy; experimental study; fall risk; falls; imaging genetics; improved; innovation; motor deficit; motor disorder; motor impairment; neuroimaging; neurophysiology; neuroregulation; non-demented; novel; professor; relating to nervous system; repository; response; selective attention; signal processing; social; socioeconomics; somatosensory; symptom treatment; targeted treatment; time use

ABSTRACT/PROJECT SUMMARY Parkinson’s disease (PD) is a progressive neurodegenerative disorder that presents a looming economic and societal challenge in the United States and worldwide. Despite being primarily a disorder of the motor system (i.e., the brain systems controlling movement), patients with PD are also known to exhibit profound deficits in attention, which is our ability to direct brain resources towards important aspects of the environment. Importantly, these issues are not isolated from one another, as attentional issues are robustly linked to risk of falls in patients with PD, which are the most common reason for hospitalization and major injury in this population. Indeed, attention-based therapies have been developed for patients with PD and have been moderately successful, but a great deal of variability exists in patient outcomes. This variability is largely due to the lack of specific neurophysiological and cognitive targets of these therapies, so a better understanding of the brain systems being affected is essential to improving patient outcomes. The current project aims to identify and quantify the brain- basis of attentional impairments in patients with PD, as well as the neurophysiology underlying the interactions between these deficient attentional sub-systems and somato-motor systems. The primary goal of this research will be to provide novel targets for enhanced clinical interventions, such as brain stimulation and attention-training therapies. A secondary goal of this project is to provide a data-driven framework for the assessment of attention- training in the brains of patients with PD, and the impact of this training on the brain circuits that control movement (i.e., somato-motor networks). To reach these goals, a series of innovative cognitive neuroscience experiments will be utilized, combined with advanced brain imaging techniques. These data will be collected using expansive data repositories available in Montreal (the Quebec Parkinson Network and the Montreal Neurological Institute Clinical Biological Imaging and Genetic Repository) and analyzed using a number of highly innovative signal processing techniques developed by Professor Sylvain Baillet in his state-of-the-art software housed in his laboratory at McGill University (Brainstorm; > 23,000 users worldwide). These studies which will allow for novel investigations of the role of dynamic brain activity patterns between and within attention and somato-motor networks in patients with PD. This will provide new targets for attention- training and brain stimulation therapies, while also enhancing our understanding of the neurobiological aberrations that contribute to PD. The aim of my research project is to understand (1) which attentional neural sub-systems are being preferentially affected by PD, and (2) how these attentional sub-systems interact with established PD-related somato-motor system aberrations. These findings will then provide key metrics for the assessment of treatment efficacy, as well as targets for therapeutic intervention. With the prevalence of PD rising both nationally and worldwide, concrete targets for intervention are desperately needed to minimize the impact of this debilitating disorder, both on the personal level for those affected, and broadly on a socio-economic scale.

摘要/项目摘要 帕金森病 (PD) 是一种进行性神经退行性疾病，带来迫在眉睫的经济和社会问题 尽管主要是运动系统的疾病，但它仍然是美国和世界各地的社会挑战。 （即控制运动的大脑系统），帕金森病患者也表现出严重的运动缺陷 注意力，这是我们将大脑资源引导到环境的重要方面的能力。 这些问题并不是相互孤立的，因为注意力问题与患者跌倒的风险密切相关 帕金森病是该人群住院和严重受伤的最常见原因。 基于注意力的疗法已经针对帕金森病患者开发出来，并取得了一定的成功，但是 患者结果存在很大的差异，这种差异很大程度上是由于缺乏具体的结果。 这些疗法的神经生理学和认知目标，因此可以更好地了解大脑系统 当前的项目旨在识别和量化大脑的影响对于改善患者的治疗效果至关重要。 PD 患者注意力障碍的基础，以及相互作用背后的神经生理学 这些有缺陷的注​​意力子系统和躯体运动系统之间的关系是这项研究的主要目标。 将为加强临床干预提供新的目标，例如大脑刺激和注意力训练 该项目的第二个目标是提供一个数据驱动的框架来评估注意力。 对帕金森病患者的大脑进行训练，以及这种训练对控制运动的大脑回路的影响 （即躯体运动网络）为了实现这些目标，需要进行一系列创新的认知神经科学实验。 将结合先进的大脑成像技术来利用这些数据。 蒙特利尔可用的数据存储库（魁北克帕金森网络和蒙特利尔神经学研究所 临床生物成像和基因库）并使用许多高度创新的信号进行分析 Sylvain Baillet 教授在其最先进的软件中开发的处理技术 麦吉尔大学实验室（头脑风暴；全球超过 23,000 位用户）。 这些研究将允许对动态大脑活动模式在和之间的作用进行新的研究 这将为帕金森病患者的注意力和躯体运动网络提供新的目标。 训练和脑刺激疗法，同时也增强了我们对神经生物学的理解 导致 PD 的畸变我的研究项目的目的是了解 (1) 哪些注意力神经元。 子系统优先受到 PD 的影响，以及（2）这些注意力子系统如何与 这些发现将为PD相关的躯体运动系统畸变提供关键指标。 随着PD患病率的上升，治疗效果的评估以及治疗干预的目标。 在国家和世界范围内，迫切需要制定具体的干预目标，以尽量减少影响 这种使人衰弱的疾病，无论是在受影响者的个人层面上，还是在广泛的社会经济层面上。