Neurocircuitry underlying effective DBS for OCD
Neurocircuitry underlying effective DBS for OCD
批准号:
8076851
负责人:
Suzanne N Haber
金额:
$26.97万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-06-01 至 2014-05-31
关键词:
3-DimensionalAffectAffectiveAlgorithmsAmygdaloid structureAtlasesBasal GangliaBehaviorBehavioralBiological Neural NetworksBrainBrain regionCell physiologyChronicClinicalCollaborationsComputing MethodologiesConflict (Psychology)Corpus striatum structureDataDeep Brain StimulationDiffusion Magnetic Resonance ImagingDiseaseElectrodesExtinction (Psychology)FiberFunctional disorderFundingHumanImageInjection of therapeutic agentInstructionInternal CapsuleLaboratoriesLocationMapsMethodsModelingMonkeysObsessive-Compulsive DisorderOutcomePathway interactionsPatientsPopulationPrefrontal CortexPrimatesRewardsRodent ModelSiteStructureTestingThalamic structureTracerTravelVentral Striatumaddictionbaseinsightreconstructionresponsethree dimensional structure
中文摘要
强迫症的深部脑刺激目标集中在腹侧内囊中,腹侧内囊位于腹侧内囊中。
纹状体该提议的假设是刺激的行为影响将随电极而变化
位置,由于差异激活子组件的上行和下行前额叶电路。
我们的实验室正在开发一个光纤连接和终端的3D地图集,基于从
描绘和比较终端场和纤维束位置的常规轨迹跟踪方法
来自特定的皮层区域这些数据将用于开发皮质纤维如何行进的模型
通过内囊,预测哪些结构最有可能受到影响,
每个刺激部位。我们将使用它来测试扩散张量成像采集和分析的有效性。
算法,并探索将我们的发现扩展到人类的能力。有3个目标:目标1将描述
前额叶皮质和皮质下纤维束穿过IC不同区域的路线
目标2将确定哪些捆绑包可能是影响的最有效目标部位
回避-奖励冲突行为,以及它们连接的大脑区域;目标3将识别网络
在VCA/S内的DBS期间激活。P2将通知并被通知的所有拟议的项目,
中心与P1,3,4和5合作,我们将深入了解哪些途径(和结构)是
参与了可能与强迫症有关的回避、奖励和灭绝行为。结果
目标1和2将影响PI-5中使用的刺激部位的选择。目标3将告知,并由其告知,
啮齿类动物模型的激活机制(P4-6)。总的来说,结合对猴子的追踪,
在猴子和人类的DTI,和计算方法将提供一个蓝图,为进一步研究,
回避中涉及的通路和终末场组织的解剖学原理
和奖励
相关性(参见说明):
强迫症(OCD)是一种慢性精神疾病,影响全球2-3%的人。
人口这是一种排在前十位的疾病。这项研究将检查神经
与强迫症相关的行为背后的网络和机制。这些行为不仅限于
强迫症,但与一系列的情感和成瘾性疾病。集体建议的研究
将产生新的假设,这些大脑网络中的功能障碍是如何表达的,
疾病,并提供洞察正常行为反应的机制。
英文摘要
The deep brain stimulation target for OCD is centered in the ventral internal capsule, and the ventral
striatum. The hypothesis of this proposal is that the behavioral impact of stimulation will vary with electrode
location, due to differentially activating subcomponents of the ascending and descending prefrontal circuits.
Our laboratory is developing a 3-D atlas of fiber connections and terminals, based on data collected from
conventional track tracing methods to delineate and compare of terminal fields and fiber bundle locations
from specific cortical regions. This data will be used to develop a model for how cortical fibers travel
through the internal capsule leading, to predictions about which structures are most likely be affected for
each stimulation site. We will use it to test the validity of diffusion tensor imaging acquisition and analytic
algorithms, and explore the ability to extend our findings to humans. There are 3 aims: Aim 1 will delineate
the course of prefrontal cortical and subcortical fiber bundles that pass through different regions of the IC
and VS. Aim 2 will determine which bundles are likely to be the most effective target sites for affecting
avoidance-reward conflict behaviors, and the brain regions they connect; Aim 3 will identify the network
activated during DBS within the VCA/S. P2 will inform and be informed by all the proposed projects in the
Center. In collaboration with P1, 3, 4, & 5, we will gain insight into which pathways (and structures) are
involved in avoidance, reward, and extinction behaviors that may be associated with OCD. Results from
aims 1 & 2 will impact on the choice of stimulation sites used in PI-5. Aim 3 will inform, and be informed by,
rodent models of activation that underlie the mechanisms (P4-6). Overall, combining tracing in monkeys,
DTI in monkeys and humans, and computational methods will provide a blueprint for further studies of the
anatomical principles that underlie the organization of pathways and terminal fields involved in avoidance
and reward.
RELEVANCE (See instructions):
Obsessive Compulsive Disorder (OCD) is a chronic psychiatric illness that affects 2-3% of the worldwide
population. This is disease is in the top ten dehabilitating diseases. This study will examine the neural
network and mechanisms that underlie behaviors associated with OCD. These behaviors not limited to
OCD, but are associated with a range of affective and addictive disorders. The collective proposed studies
will generate new hypotheses of how dysfunctions within these brain networks are expressed across
diseases and provide insight into the mechanisms underlying normal behavioral responses.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
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