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

基本信息

批准号：
10589016
负责人：
Alex I Wiesman
金额：
$ 5.73万
依托单位：
MCGILL UNIVERSITY
依托单位国家：
美国
项目类别：
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/10589016
关键词：
Affect American Attention Attentional deficit Behavior Therapy Biological Brain Brain imaging Cephalic Cessation of life Clinical Cognitive Computer software Coupling Data Deep Brain Stimulation Dementia Disease Dopaminergic Agents Economics Encapsulated Environment Exhibits Feedback Frequencies Generations Genetic Glean Goals Health Hospitalization Image Imaging Techniques Impairment Injury Intervention Investigation Laboratories Link Magnetism Magnetoencephalography Monitor Motor Movement Neurobiology Neurodegenerative Disorders Neurologic Neurosciences Research Occipital lobe Outcome Parkinson Disease Pathologic 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 behavior prediction cognitive neuroscience cognitive process cognitive task cost data repository effective therapy experimental study fall risk falls improved innovation motor disorder motor impairment neural neuroimaging neurophysiology neuroregulation non-demented novel professor repository response selective attention signal processing social socioeconomics somatosensory symptom treatment targeted treatment time use

项目摘要

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.

帕金森病 (PD) 是一种进行性神经退行性疾病，在美国和全世界都面临着迫在眉睫的经济和社会挑战，尽管帕金森病主要是运动系统（即控制运动的大脑系统）的疾病，但帕金森病患者也是众所周知的。表现出严重的注意力缺陷，这是我们将大脑资源引导到环境的重要方面的能力。重要的是，这些问题并不是相互孤立的，因为注意力问题与帕金森病患者跌倒的风险密切相关。最常见的原因事实上，针对帕金森病患者的住院治疗和重大损伤已经开发出来，并且取得了一定的成功，但患者的治疗结果存在很大的差异，这主要是由于缺乏特定的神经生理学治疗。以及这些疗法的认知目标，因此更好地了解受影响的大脑系统对于改善患者的治疗效果至关重要，当前项目旨在识别和量化 PD 患者注意力障碍的大脑基础以及潜在的神经生理学。这些注意力缺陷之间的相互作用该研究的主要目标是为增强的临床干预提供新的目标，例如大脑刺激和注意力训练疗法。该项目的第二个目标是提供数据驱动的框架。用于评估帕金森病患者大脑中的注意力训练，以及这种训练对控制运动的大脑回路（即躯体运动网络）的影响。为了实现这些目标，将进行一系列创新的认知神经科学实验。结合先进的技术加以利用这些数据将使用蒙特利尔提供的高度扩展的数据存储库（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遗传存储库）进行收集，并使用 Sylvain Baillet 教授在他在麦吉尔大学的实验室中配备了最先进的软件（头脑风暴；全球超过 23,000 名用户）这些研究将允许对动态大脑活动模式之间和内部的作用进行新颖的研究。这将为注意力训练和大脑刺激疗法提供新的目标，同时也增强我们对导致帕金森病的神经生物学畸变的理解（1）。）哪些注意力神经子系统优先受到帕金森病的影响，以及（2）这些注意力子系统如何与已建立的帕金森病相关躯体运动系统畸变相互作用，这些发现将为评估治疗效果提供关键指标。以及治疗干预的目标随着帕金森病的患病率在全国和全球范围内不断上升，迫切需要具体的干预目标，以尽量减少这种使人衰弱的疾病的影响，无论是对受影响者的个人层面，还是对社会的广泛影响。经济规模。