INTEGRATING PHYSIOLOGY AND BEHAVIOR IN REAL TIME FMRI

将生理学和行为整合到实时 FMRI 中

• 批准号: 2677127
• 负责人: JAMES T VOYVODIC
• 金额: $ 11.11万
• 依托单位: UNIVERSITY OF PITTSBURGH AT PITTSBURGH
• 依托单位国家: 美国
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-07-01 至 2003-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2677127
• 关键词: brain imaging /visualization /scanning; clinical research; cognition; computer program /software; diagnosis design /evaluation; diagnosis quality /standard; electroencephalography; functional magnetic resonance imaging; human subject; method development; noninvasive diagnosis; physiology; statistics /biometry

DESCRIPTION: Functional magnetic resonance imaging (fMRI) has enormous potential for both scientific and clinical studies of human brain function. For diagnostic radiology, fMRI's ability to localize functional areas non-invasively promise to make it an especially important tool in presurgical planning for epilepsy and brain tumors. To make this technology practical, however, it must be more reliable than currently available. To accomplish this, fMRI must have high spatial and temporal resolution, good paradigm control, appropriate statistica analysis, and rapid data processing. Another important practical consideration is that fMRI needs to be able to yield results even under less than ideal subject performance conditions. In clinical studies, patients are typically no extensively trained in their tasks and tend to be highly variable in their performance. Scan reliability and spatial resolution can be effectively improved by explicitly separating MR signal changes associated with task performance, away from signal changes attributable to other physiological, behavioral, electrical, or mechanical variables. The Principal Investigator (PI) has developed real-time paradigm control software and real-time image analysis software for fMRI that generalize this strategy for improving scan quality by allowing many different behavioral and physiological variables to be integrate simultaneously. An important aspect of this approach is that all the analysis is performed in close to real-time, so that the complete results are available during the scan or within a minute after scan completion. This immediate feedback provides quality assurance that greatly improves scan reliability. Fo clinical scans, such timely results are critical if fMRI is to be used to tailor treatment to individual patients. The current application seeks support to apply and extend this work to identif optimal software strategies for improving the effective sensitivity and resolution of clinical and research fMRI. This project tests the hypothesis that physiological and behavioral data improves task-specific signal-to-noise ratio and spatial resolution. Subjective behavioral responses will be tested a probes of cognitive brain function. Practical strategies for obtaining comprehensive fMRI results in close to real-time will be investigated. Integrating the strategies addressed in this study will make fMRI a more sensitive and reliable brain imaging tool, thereby extending its capabilities for a wide range of both scientific and clinical applications.

描述： 功能磁共振成像 (fMRI) 在这两个领域都具有巨大潜力 人类大脑功能的科学和临床研究。 用于诊断 放射学、功能磁共振成像非侵入性定位功能区域的能力 承诺使其成为术前计划中特别重要的工具 癫痫和脑肿瘤。 然而，为了使这项技术实用化， 必须比目前可用的更可靠。 为了实现这一目标，功能磁共振成像 必须具有高时空分辨率、良好的范式控制、 适当的统计分析和快速的数据处理。 其他 重要的实际考虑因素是功能磁共振成像需要能够产生 即使在不太理想的受试者表现条件下也能得到结果。 在 临床研究中，患者通常没有接受过广泛的培训 任务，并且其绩效往往变化很大。 可以有效提高扫描可靠性和空间分辨率 明确分离与任务表现相关的 MR 信号变化， 远离其他生理、行为、 电气或机械变量。 首席研究员 (PI) 已 开发实时范例控制软件和实时图像分析 fMRI 软件概括了这种提高扫描质量的策略 通过允许许多不同的行为和生理变量 同时整合。 这种方法的一个重要方面是所有 分析几乎是实时进行的，因此完整的 扫描期间或扫描后一分钟内即可获得结果 完成。 这种即时反馈提供了极大的质量保证 提高扫描可靠性。 对于临床扫描来说，如此及时的结果是 如果要使用功能磁共振成像来为个体患者制定治疗方案，这一点至关重要。 当前的申请寻求支持以应用和扩展这项工作 识别提高有效灵敏度的最佳软件策略 以及临床和研究功能磁共振成像的分辨率。 该项目测试了 生理和行为数据改善任务特定性的假设 信噪比和空间分辨率。 主观行为 反应将被测试为认知大脑功能的探针。 实际的 近乎实时地获得全面的功能磁共振成像结果的策略 将被调查。 整合本研究中讨论的策略 将使功能磁共振成像成为更灵敏、更可靠的脑成像工具，从而 将其能力扩展到广泛的科学和临床领域 应用程序。