Cerebellar Structure and Function Studies in Very Early Abstinence
早期禁欲中的小脑结构和功能研究
基本信息
- 批准号:9268635
- 负责人:
- 金额:$ 42.32万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-07-01 至 2019-04-30
- 项目状态:已结题
- 来源:
- 关键词:AbstinenceAffectAffectiveAgeAlcohol abuseAlcohol consumptionAlcoholismAlcoholsAlgorithmsAnatomyAnteriorAppearanceAtlasesAtrophicAttentionBehaviorBrainBrain regionCerebellar vermis structureCerebellumCerebrumChronicClinicalComputer softwareControlled StudyDataEquilibriumGaitGenderGoldGrantHumanImageImage AnalysisImpaired cognitionImpairmentInpatientsIntramural Research ProgramKnowledgeLabelLanguageLateralLobuleMagnetic Resonance ImagingManualsMeasurementMeasuresMedical ImagingMethodologyMethodsModelingMotionMotorMovementNational Institute on Alcohol Abuse and AlcoholismParticipantPathologyPatientsPatternPhaseProblem SolvingProtocols documentationRecoveryResolutionScanningShapesShort-Term MemorySmall Business Innovation Research GrantStructural defectStructureSurfaceTestingTimeTreatment ProtocolsUnited States National Institutes of HealthValidity and ReliabilityVisuospatialWorkalcohol effectalcohol exposurebasebrain volumeclinically significantcognitive taskcognitive testingcohortexecutive functionhigh resolution imagingimaging studyin vivomotor impairmentneuroimagingneuropathologynovelproblem drinkerprospectivepublic health relevanceskillstool
项目摘要
DESCRIPTION (provided by applicant): Cerebellar shrinkage (especially involving the anterior superior cerebellar vermis) is among the most salient and clinically significant morbid effects of chronic hazardous alcohol consumption on brain structure. Previous magnetic resonance imaging (MRI) studies of alcohol's effect on the cerebellum relied on manual delineation, because cerebellar anatomy, with foliations narrower than standard image resolution and indistinct lateral vermis boundaries, poses particular challenges for automated segmentation algorithms. Under an SBIR Phase I grant, we (NRI) developed a novel algorithm for segmentation of the cerebellar hemispheres and vermis based on Active Appearance Modeling (AAM), which uses the prior knowledge of shape, image intensities and inter-shape relationships that human experts use to infer object boundaries in medical images. By taking advantage of recent advances in prospective motion tracking and correction that allow the acquisition of higher resolution and better quality cerebellar images, we propose to extend and optimize our cerebellar segmentation software to parcellate the cerebellum into 30 substructures, then to use our software to characterize cerebellar volumes in active alcoholics and cerebellar volume recovery during very early abstinence. We also propose to investigate how cerebrocerebellar circuits contribute to cognitive and motor impairment in alcoholism. Methods: 112 alcoholics admitted to the NIAAA for inpatient treatment protocols will be studied at treatment entry and at the end of inpatient treatment with whole brain (including cerebellar) structural imaging at 0.7 mm3 resolution corrected for movement using prospective motion tracking, the Fregly assessment of gait and balance, and cognitive assessment of abilities shown to be affected by cerebellar damage. Age and gender comparable controls will be studied with the same protocols. Expert manual delineation of cerebellar vermis and lobules (30 parcels) will be obtained from a subset of alcoholics and controls for use in developing a high-resolution statistical shape model and probabilistic atlas, which will allow us to optimize our cerebellar segmentation using the AAM approach combined with non-rigid registration to a cerebellar atlas. Our algorithm will be validated on alcoholics and controls with manually labeled test-retest images, then used to quantify cerebellar substructure volume on all participants. End of treatment and treatment entry measures will be compared in the alcoholic group to assess recovery of cerebellar structure and function during very early abstinence, and alcoholic data at the beginning and end of treatment will be compared to data from controls to estimate the magnitude of the alcohol-related damage. We will also determine whether disruption of the cerebrocerebellar circuit underlies cognitive and motor impairment in alcoholism by examining the correlational patterns between brain regions that comprise nodes of the circuit, followed by using multiple regional brain volumes to predict scores on tests of cognitive and motor functions subserved by the cerebrocerebellar circuit and known to be impaired in alcoholics.
描述(由应用提供):小脑收缩(尤其是影响前小脑vermis)是慢性危险酒精消耗对脑结构的最显着和临床意义的病态。先前的磁共振成像(MRI)对酒精对小脑的影响的研究依赖于手动描述,因为小脑解剖结构,叶子比标准图像分辨率窄,而后来的Vermis范围窄,因此对自动分割算法构成了特殊的挑战。在SBIR第一阶段赠款下,我们(NRI)开发了一种基于主动外观建模(AAM)的小脑半球和vermis分割的新算法,该算法利用了人类专家使用的形状,图像强度和光束关系的先验知识来推断医学图像中人类专家使用的对象。 By taking advantage of recent advances in prospective motion tracking and correction That allows the acquisition of higher resolution and better quality cerebellar images, we propose to extend and optimize our cerebellar segmentation software to parcellate the cerebellum into 30 substructures, then to use our software to characterize cerebellar volumes in active alcoholics and cerebellar volume recovery during very early abstinence.我们还建议调查脑脑电路如何促进酒精中毒的认知和运动障碍。方法:112名酗酒者接受NIAAA的住院治疗方案,将在治疗入境时进行研究,并且在整个大脑(包括小脑)结构成像的住院治疗结束时,在0.7 mm3分辨率下,使用前瞻性运动跟踪校正了运动,对运动进行了校正,并通过范围和认知能力评估,并损害了能力评估。年龄和性别可比控制将使用相同的协议进行研究。小脑Vermis和Lobules(30个包裹)的专家手册决定将从酗酒者和控制措施中获得,以开发高分辨率的统计形状模型和概率图集,这将使我们能够通过非rigid goctration cerebellation to a cerebellaration cerebellaration cerebellaration cerebellaration cerbellarration cerebellar atlas artlas atlas artlas artlas artlas artlas artlas artlas artlas artlas artlas artlas artlas artlas。我们的算法将在使用手动标记的重测图像的酒精和对照中进行验证,然后用来量化所有参与者的小脑子结构量。酒精组的治疗和治疗入境措施将在非常早期的禁欲期间进行比较,以评估小脑结构和功能的恢复,并且将在治疗开始和结束时将酒精数据与对照组的数据进行比较,以估计酒精相关损害的大小。我们还将通过检查构成电路节点的大脑区域之间的相关模式来确定脑脑电路电路的破坏是否构成了酒精中毒中的认知和运动障碍,然后使用多个区域大脑体积来预测脑脑功能的认知能力和运动功能的测试,并被核脑电路courtized和不知不觉地进行了核心。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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George Fein其他文献
George Fein的其他文献
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{{ truncateString('George Fein', 18)}}的其他基金
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阿片类药物依赖的网络同步神经反馈
- 批准号:
10382736 - 财政年份:2021
- 资助金额:
$ 42.32万 - 项目类别:
Cerebellar Structure and Function Studies in Very Early Abstinence
早期禁欲中的小脑结构和功能研究
- 批准号:
9100604 - 财政年份:2015
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8473749 - 财政年份:2012
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Automated Delineation, Parcellation and Analysis of the Cerebellum from MR Images
根据 MR 图像自动描绘、分割和分析小脑
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8056940 - 财政年份:2012
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$ 42.32万 - 项目类别:
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7833329 - 财政年份:2009
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$ 42.32万 - 项目类别:
Long-Term Abstinence Clinical Issues and CNS Disinhibition
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7463348 - 财政年份:2008
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