Integration and Validation of Lesion Methods for Cognitive Neuroscience

认知神经科学损伤方法的整合和验证

• 批准号: 7530685
• 负责人: Thomas J. Grabowski
• 金额: $ 4.79万
• 依托单位: UNIVERSITY OF IOWA
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-08-01 至 2009-02-01
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7530685
• 关键词: Address; Adoption; Affect; Anatomy; Area; Associative aphasia; Atlases; Attention; Base of the Brain; Behavior; Behavioral; Benchmarking; Biological Models; Blood Vessels; Brain; Brain Injuries; Brain Mapping; Brain region; Categories; Cerebral cortex; Cerebrum; Classification; Cognition; Cognitive; Communities; Complement; Complex; Computer software; Data; Data Set; Databases; Dependency; Detection; Development; Diffusion Magnetic Resonance Imaging; Disease; Disease regression; Disruption; Fiber; Functional Magnetic Resonance Imaging; Future; Generations; Goals; Gray unit of radiation dose; Image; Impairment; Individual; Institution; Language; Lesion; Localized; Location; Magnetic Resonance Imaging; Maps; Measures; Metabolic; Metabolism; Methods; Modeling; Names; Neurologic; Neurosciences; Numbers; Performance; Personal Satisfaction; Physiological; Positron-Emission Tomography; Property; Public Health; Pure Alexia; Range; Registries; Reporting; Reproducibility; Research Personnel; Resources; Retrieval; Role; Sample Size; Sampling; Sampling Biases; Sensitivity and Specificity; Site; Software Validation; Source; Specificity; Standards of Weights and Measures; Statistical Methods; Stroke; Structure; Support System; System; Testing; Tissues; Validation; Validity and Reliability; Visual Fields; Visual evoked cortical potential; Visual system structure; Work; acquired brain damage; base; brain behavior; cognitive neuroscience; concept; digital imaging; focal brain damage; foot; gray matter; improved; interest; neuropsychological; patient registry; regional difference; relating to nervous system; retinotopic; simulation; size; tool; white matter; white matter damage

DESCRIPTION (provided by applicant): The lesion method, which identifies consistent relationships between sites of brain damage and acquired impairments of cognition and behavior, continues to be an indispensable approach in neuroscience for identifying the neural basis of higher function. The overall goal of this project is to put the lesion method on a rigorous, quantitative footing, and to determine and extend its limits, especially with respect to the specificity and interpretability of localization. We will introduce methods for formally integrating connectivity information, from diffusion tensor imaging, into group-level voxel-based lesion-deficit analyses. We will investigate the validity, reliability, and anatomic accuracy of existing and new methods, with particular attention to the impact of the subject group, non-uniform lesion coverage, and the different roles of gray and white matter damage. We will validate voxel-based statistical methods for lesion studies in two ways: 1) with simulations based on a large set of real brain lesions, that capture the effects of the complex structure of the natural lesion sample; and 2) in a well characterized database of lesions in the retinotopically organized visual system, for which there will be multispectral MRI data and extensive functional assessment (retinotopic fMRI, multifocal visual evoked potentials, quantitative visual fields, and metabolic PET data). Another overarching goal is to determine best practices for the lesion method, including identification of the optimal (efficient, sensitive, valid) forms of analysis and generation of resources for evaluating future improvements in the methods. Finally, we will disseminate methods, software, validation data sets, and performance benchmarks generated in this Project to the brain mapping community. The work proposed here will enable the lesion method to be used with unprecedented confidence to identify the essential components of neural systems for normal cognition and behavior. PUBLIC HEALTH RELEVANCE Studying the behavioral and cognitive consequences of focal brain damage provides information about the brain basis of cognitive abilities that can be gained from no other source. The proposed work will help establish best practices for the lesion method, making it easier to study and understand the impairments that result from stroke and other neurologic diseases.

描述（由申请人提供）：损伤方法确定了脑损伤部位与认知和行为的获得性损伤之间的一致关系，仍然是神经科学中用于确定高级功能的神经基础的不可或缺的方法。该项目的总体目标是将损伤方法置于严格的定量基础上，并确定和扩展其限制，特别是在定位的特异性和可解释性方面。我们将介绍正式整合连接信息的方法，从扩散张量成像，到组水平的基于体素的病变缺陷分析。我们将研究现有和新方法的有效性、可靠性和解剖准确性，特别关注受试者群体的影响、不均匀的病变覆盖以及灰质和白色物质损伤的不同作用。我们将通过两种方式验证基于体素的统计方法用于病变研究：1）通过基于大量真实的脑病变的模拟，捕获自然病变样本的复杂结构的影响;以及2）在视网膜定位组织的视觉系统中的病变的良好表征的数据库中，将有多光谱MRI数据和广泛的功能评估（视网膜功能磁共振成像，多焦视觉诱发电位，定量视野，代谢PET数据）。另一个首要目标是确定损伤方法的最佳实践，包括确定最佳（高效、灵敏、有效）分析形式和生成用于评估方法未来改进的资源。最后，我们将传播的方法，软件，验证数据集，并在这个项目中产生的性能基准到大脑映射社区。本文提出的工作将使损伤方法能够以前所未有的信心用于识别正常认知和行为的神经系统的基本组成部分。研究局灶性脑损伤的行为和认知后果提供了关于认知能力的大脑基础的信息，这些信息无法从其他来源获得。拟议的工作将有助于建立损伤方法的最佳实践，使其更容易研究和理解中风和其他神经系统疾病造成的损害。