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中文摘要
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描述(由申请人提供):病变分析在认知神经科学中起着核心作用,通过识别特定功能表现所必需的大脑区域来补充功能激活研究。大多数现有的损伤分析方法本质上是单变量的,它们独立地考虑大脑中不同位置之间的损伤和行为之间的关系。我们建议发展和调整方法来检测脑损伤和行为之间的多元关系。这些方法将用于解决现有失语中风患者数据集中令人困惑的结果,并将以用户友好的跨平台软件的形式提供给社区。
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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Brain entropy mapping in Alzheimer's Disease
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