INTEGRATING PHYSIOLOGY AND BEHAVIOR IN REAL TIME FMRI

说明： 功能磁共振成像(FMRI)对这两种疾病都具有巨大的潜力 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的能力 承诺使其成为手术前计划的一个特别重要的工具 癫痫和脑瘤。然而，为了使这项技术实用，它 必须比目前可用的更可靠。要做到这一点，功能磁共振成像 必须具有高空间和时间分辨率，良好的范式控制， 适当的统计分析和快速的数据处理。另一个 重要的实际考虑是，功能磁共振成像需要能够 结果即使在不理想的受试者表现条件下也是如此。在……里面 临床研究表明，患者通常没有接受过广泛的培训 任务，并倾向于在他们的表现高度多变。 可以通过以下方式有效地提高扫描可靠性和空间分辨率 明确地分离与任务性能相关联的MR信号变化， 远离可归因于其他生理、行为、 电气或机械变量。首席调查员(PI)有 开发了实时范例控制软件和实时图像分析 用于功能磁共振成像的软件，它概括了这一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 分析近乎实时地执行，因此完整的 结果在扫描过程中或扫描后一分钟内可用 完成了。这一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，这样的及时结果是 如果要使用功能磁共振成像为个别患者量身定做治疗，这一点至关重要。 当前的应用程序寻求支持以应用和扩展这项工作 确定提高有效灵敏度的最优软件策略 临床和研究功能磁共振分辨率。该项目测试了 生理和行为数据改善特定任务的假设 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。实用 获得接近实时的全面功能磁共振结果的策略 将会被调查。整合本研究中涉及的战略 将使功能磁共振成像成为一种更灵敏和可靠的脑成像工具，从而 将其能力扩展到广泛的科学和临床领域 申请。

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.