The Pathophysiology of Network Synchrony in Parkinson's Disease
The Pathophysiology of Network Synchrony in Parkinson's Disease
批准号:
9260644
负责人:
NADER POURATIAN
金额:
$56.91万
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-09-30 至 2021-08-31
关键词:
AccountingAddressApomorphineAreaBasal GangliaBehaviorBehavioralBiological MarkersBradykinesiaBrainClinicalConflict (Psychology)CouplingDeep Brain StimulationDevelopmentDiseaseDorsalElectrophysiology (science)EvolutionFrequenciesFunctional disorderGlobus PallidusGoalsHealth ExpendituresInvestigationKnowledgeLeadLiteratureMeasuresMediatingMonitorMotorMotor CortexMovementNeuronsOperative Surgical ProceduresOutputParkinson DiseasePathologicPathway interactionsPatientsPharmaceutical PreparationsPhasePhysiologicalPhysiological ProcessesPhysiologyPrecision therapeuticsPrevalenceProcessQuality of lifeReportingResolutionRestRoleSignal TransductionSiteStructure of subthalamic nucleusSymptomsSystemTechniquesTestingThalamic structureTherapeuticTherapeutic InterventionTreatment EfficacyVariantWorkabstractingbehavior measurementdesigndisabilityimplantationimprovedinnovationkinematicsmotor symptomnetwork dysfunctionnovelnovel therapeuticsresponsesymptomatologytargeted treatmenttheoriestherapeutic target
中文摘要
项目总结/摘要
帕金森病(PD)运动症状的病理生理机制仍不完全
最近关于基底神经节内不同节点神经元活动变化的相互矛盾的报道理解了这一点。
神经节-丘脑皮质(BGTC)运动回路。一个统一的方法,占相互矛盾的结果是
needed.强调电路中节点之间相对未被充分探索的动态关系,
假设夸大的网络水平耦合是病理生理过程的基础,
PD的僵硬和运动迟缓通过阻碍有效的信息流。因此,我们建议调制
网络偶联是药物和手术治疗的共同治疗机制;其他
生理性后遗症是治疗干预的靶点所特有的,
文学作品我们将同时评估皮质和皮质下生理与临床症状的关系
以及对患者的脑深部电刺激(DBS)、皮层刺激和药物治疗的反应
接受DBS植入手术。这种方法能够对空间特异性皮层进行上级研究
与手术外研究相比。我们认为,理解
扩展的BGTC网络的功能连接,不仅包括运动皮层与丘脑底核
核(nucleus),但也与苍白球内(GPi,最后共同的)连接。
基底神经节的输出)和补充运动区(SMA)和背侧运动前皮质(PMd),
是苍白球接受丘脑区域主要投射的地方。此外,我们的分析将集中在
低与高β振荡相对于正常运动功能的不同生理意义,
疾病和治疗干预。在具体目标1中,我们的目标是了解
未治疗的BGTC运动网络在PD在休息和运动,利用特定的优势,时间
疾病分类学的变化(用客观临床评定量表和综合
运动学),同时记录网络连接性的测量。在具体目标2中,我们将使用
皮层下和皮层刺激,以特异性地扰乱BGTC运动网络中的不同节点,
证实网络耦合是治疗性脑刺激的常见机制,无论
的靶点,并确定靶点特异性效应,这些效应可以解释DBS在以下条件下的已知临床差异:
与GPi相比。最后,在具体目标3中,我们将评估BGTC运动的药理学调节
网络,旨在了解症状改善和网络之间的时间关系
调变综上所述,我们将通过以下方式显著增强现有的BGTC电机网络接线图:
阐明运动网络耦合在PD中的作用。解决这一基本知识差距将有助于
治疗创新,包括可用于闭环DBS的控制信号的识别
提供了BGTC马达电路的接线图,可以指导药理学的创新。
英文摘要
Project Summary/Abstract
The pathophysiology underlying the motor symptoms of Parkinson’s disease (PD) remains incompletely
understood with recent conflicting reports of changes in neuronal activity in distinct nodes within the basal
ganglia-thalamocortical (BGTC) motor circuit. A unified approach that accounts for conflicting results is
needed. Emphasizing the relatively underexplored dynamic relationship between nodes in the circuit, we build
upon the hypothesis that exaggerated network-level coupling is the pathophysiologic process underlying the
rigidity and bradykinesia of PD by impeding effective information flow. Accordingly, we propose that modulation
of network coupling is the common therapeutic mechanism across pharmacologic and surgical therapies; other
physiologic sequelae are specific to the target of therapeutic intervention and account for disparate results in
the literature. We will simultaneously assess cortical and subcortical physiology in relation to clinical symptoms
and in response to deep brain stimulation (DBS), cortical stimulation and pharmacologic therapy in patients
undergoing DBS implantation surgery. This approach enables superior investigation of spatially specific cortical
phenomena compared to extraoperative studies. We propose that it is critically important to understand the
functional connectivity of the extended BGTC network, including not only the motor cortex with subthalamic
nucleus (STN) as most studies do, but also connectivity with globus pallidus internus (GPi, the final common
output of the basal ganglia) and the supplementary motor area (SMA) and dorsal premotor cortex (PMd), which
are to where pallidal-receiving thalamic regions dominantly project. Moreover, our analyses will focus on the
differential physiological significance of low vs high β oscillations with respect to normal motor function,
disease, and therapeutic intervention. In Specific Aim 1, we aim to understand the clinical correlates of the
untreated BGTC motor network in PD both at rest and with movement, taking specific advantage of temporal
variation in disease symptomatology (as measured with objective clinical rating scales and comprehensive
kinematics) with simultaneously recorded measures of network connectivity. In Specific Aim 2, we will use
subcortical and cortical stimulation to specifically perturb distinct nodes in the BGTC motor network, in order to
confirm that network coupling is the common mechanism underlying therapeutic brain stimulation, regardless
of target, and to also identify target specific effects that can account for known clinical differences in DBS at
STN vs GPi. Finally, in Specific Aim 3, we will evaluate pharmacologic modulation of the BGTC motor
network, with an aim to understand the temporal relationships between symptom amelioration and network
modulation. Taken together, we will significantly enhance the existing BGTC motor network wiring diagram by
elucidating the role of motor network coupling in PD. Addressing this fundamental knowledge gap will facilitate
therapeutic innovations, including identification of control signals that can be used for closed loop DBS as well
as provide a wiring diagram of the BGTC motor circuit that could guide pharmacologic innovation.
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