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Atlas‐based multichannel monitoring of functional MRI signals in real‐time: Automated approach

机译:基于Atlas的功能性MRI信号实时多通道监测:自动化方法

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摘要

We report an automated method to simultaneously monitor blood‐oxygenation‐level‐dependent (BOLD) MR signals from multiple cortical areas in real‐time. Individual brain anatomy was normalized and registered to a pre‐segmented atlas in standardized anatomical space. Subsequently, using real‐time fMRI (rtfMRI) data acquisition, localized BOLD signals were measured and displayed from user‐selected areas labeled with anatomical and Brodmann's Area (BA) nomenclature. The method was tested on healthy volunteers during the performance of hand motor and internal speech generation tasks employing a trial‐based design. Our data normalization and registration algorithm, along with image reconstruction, movement correction and a data display routine were executed with enough processing and communication bandwidth necessary for real‐time operation. Task‐specific BOLD signals were observed from the hand motor and language areas. One of the study participants was allowed to freely engage in hand clenching tasks, and associated brain activities were detected from the motor‐related neural substrates without prior knowledge of the task onset time. The proposed method may be applied to various applications such as neurofeedback, brain‐computer‐interface, and functional mapping for surgical planning where real‐time monitoring of region‐specific brain activity is needed. Hum Brain Mapp 2008. © 2007 Wiley‐Liss, Inc.
机译:我们报告了一种自动方法,可同时实时监测来自多个皮层区域的血氧依赖水平(BOLD)MR信号。将单个脑部解剖结构标准化并注册到标准化解剖空间中的预先分割的图册中。随后,使用实时功能磁共振成像(rtfMRI)数据采集,从用户选择的标有解剖学和布罗德曼区域(BA)命名法的区域中测量并显示了局部BOLD信号。采用基于试验的设计,该方法在执行手运动和内部语音生成任务的健康志愿者上进行了测试。我们执行了数据归一化和配准算法,以及图像重建,运动校正和数据显示例程,并为实时操作提供了足够的处理能力和通信带宽。从手动马达和语言区域观察到特定于任务的BOLD信号。一名研究参与者被允许自由地进行手握紧任务,并且在不事先知道任务开始时间的情况下,从运动相关的神经基质中检测到相关的大脑活动。所提出的方法可能适用于各种应用,例如神经反馈,脑计算机接口和用于手术计划的功能映射,其中需要实时监控特定区域的脑部活动。嗡嗡声大脑Mapp2008。©2007 Wiley-Liss,Inc.。

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