Advanced methods for lesion-symptom mapping in aphasia
Advanced methods for lesion-symptom mapping in aphasia
批准号:
8117563
负责人:
Ze Wang
金额:
$19.36万
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:
2010-08-01 至 2014-07-31
关键词:
Acquired AphasiaAlgorithmsAphasiaBehaviorBrainBrain InjuriesBrain imagingBrain regionCerealsClassificationCommunitiesComplementComplexComputer softwareDataData SetDependencyDetectionDocumentationFailureFoundationsImpairmentInformaticsInjuryLanguageLesionLocationMachine LearningMapsMethodsMultimodal ImagingMultivariate AnalysisNamesNoisePatientsPatternPerformancePlayPropertyReportingResearch PersonnelResourcesRoleSamplingSemanticsSource CodeStrokeStructure-Activity RelationshipSymptomsTechniquesWernicke Areaaphasicbasebrain behaviorcognitive functioncognitive neurosciencedesignflexibilityimprovedinjuredneuroimagingnovelnovel strategiesphonologypublic health relevancetooluser-friendly
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): Lesion analysis plays a central role in cognitive neuroscience, complementing functional activation studies by identifying brain regions that are necessary for the performance of particular functions. Most existing methods for lesion analysis are inherently univariate, considering the relationship between injury and behavior independently between locations in the brain. We propose to develop and adapt methods for detecting multivariate relationships between brain injury and behavior. These methods will be applied to resolve puzzling results from an existing dataset of aphasic stroke patients, and will be provided to the community in the form of user-friendly cross-platform software.
PUBLIC HEALTH RELEVANCE: We propose to develop advanced methods and software for the analysis of brain-behavior relationships in stroke, with application to an existing dataset of patients with language impairments.
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