fMRI Signal Variation in Subcortical Stroke

皮质下中风的功能磁共振成像信号变化

• 批准号: 6835755
• 负责人: DANIEL A HANDWERKER
• 金额: $ 2.92万
• 依托单位: UNIVERSITY OF CALIFORNIA BERKELEY
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-08-01 至 2006-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6835755
• 关键词: age difference; bioimaging /biomedical imaging; blood pressure; brain circulation; brain electrical activity; brain subcortex; cardiovascular function; clinical research; cognition; computer simulation; functional magnetic resonance imaging; human subject; hypercapnia; method development; neural transmission; oxygen consumption; patient oriented research; predoctoral investigator; statistics /biometry; stroke; university student

DESCRIPTION (provided by applicant): The long-term objectives of this proposal are to develop a paradigm to characterize functional Magnetic Resonance Imaging (fMRI) variation across populations and to design methods to minimize the effects of variation on data analyses. Within the past 10 years, fMRI became one of the most popular ways to noninvasively study brain activity. It has the potential to be one of the best tools to understand neural changes, diagnose diseases, and assess treatments in humans. Still, researchers' abilities to distinguish changes in neural activity from the blood oxygen level dependent changes measured by fMRI limit the technology's potential. The research outlined in this proposal addresses the causes of these limits and brings fMRI closer to becoming a powerful clinical tool. To accomplish these objectives, the first specific aim of this proposal is to quantify fMRI signal variations in young subjects. Subjects will perform breath holding and simple cognitive tasks to examine how fMRI signals change and what variations are due to vascular changes. The second specific aim will extend these studies to compare variations across older adults and subcortical stroke patients. The third specific aim is to include the observed variations in simulations both to assess their statistical ramifications and to design analysis methods that account for variability. This grouping of cognitive tasks and simulations will provide ways to quantify variation across populations and decide how to best use the additional information to design accurate cognitive neuroscience and clinical studies.

描述（由申请人提供）： 该提案的长期目标是开发一个范式来表征人群之间的功能磁共振成像（fMRI）变化，并设计方法以最大程度地降低变异对数据分析的影响。在过去的10年中，fMRI成为非侵入性研究大脑活动的最流行方式之一。它有可能成为了解神经变化，诊断疾病并评估人类治疗方法的最佳工具之一。尽管如此，研究人员的能力将神经活动的变化与通过fMRI衡量的血氧水平变化的变化限制了技术的潜力。该提案中概述的研究涉及这些限制的原因，并使fMRI更接近成为一种强大的临床工具。 为了实现这些目标，该提案的第一个具体目的是量化年轻受试者的fMRI信号变化。受试者将执行呼吸和简单的认知任务，以检查fMRI信号如何变化以及由于血管变化而导致的变化。第二个特定目的将扩展这些研究，以比较老年人和皮层中风患者的变化。第三个具体目的是在模拟中包括观察到的变化，以评估其统计分析和设计可变性的分析方法。认知任务和模拟的这种分组将提供量化跨种群变异的方法，并决定如何最好地使用其他信息来设计准确的认知神经科学和临床研究。