Advanced methods for lesion-symptom mapping in aphasia

失语症病变症状映射的先进方法

• 批准号: 8117563
• 负责人: Ze Wang
• 金额: $ 19.36万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-08-01 至 2014-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8117563
• 关键词: Acquired Aphasia; Algorithms; Aphasia; Behavior; Brain; Brain Injuries; Brain imaging; Brain region; Cereals; Classification; Communities; Complement; Complex; Computer software; Data; Data Set; Dependency; Detection; Documentation; Failure; Foundations; Impairment; Informatics; Injury; Language; Lesion; Location; Machine Learning; Maps; Methods; Multimodal Imaging; Multivariate Analysis; Names; Noise; Patients; Pattern; Performance; Play; Property; Reporting; Research Personnel; Resources; Role; Sampling; Semantics; Source Code; Stroke; Structure-Activity Relationship; Symptoms; Techniques; Wernicke Area; aphasic; base; brain behavior; cognitive function; cognitive neuroscience; design; flexibility; improved; injured; neuroimaging; novel; novel strategies; phonology; public health relevance; tool; user-friendly

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.

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，考虑损伤和行为之间的关系，在大脑中的位置之间独立。我们建议开发和调整检测脑损伤和行为之间的多元关系的方法。这些方法将用于解决失语症中风患者现有数据集的令人困惑的结果，并将以用户友好的跨平台软件的形式提供给社区。 公共卫生关系：我们建议开发先进的方法和软件，用于分析中风患者的大脑行为关系，并应用于现有的语言障碍患者数据集。