A programmable laboratory testbed in support of evaluation of functional brain activation and connectivity.
A programmable laboratory testbed in support of evaluation of functional brain activation and connectivity.
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可编程实验室测试台，支持评估功能性大脑激活和连接性。
DOI：
10.1109/tnsre.2012.2185514
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Pflieger,MarkE
中科院分区：
文献类型：
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作者：
Barbour,RandallL;Graber,HarryL;Xu,Yong;Pei,Yaling;Schmitz,ChristophH;Pfeil,DouglasS;Tyagi,Anandita;Andronica,Randy;Lee,DanielC;Barbour,San-LianS;Nichols,JDavid;Pflieger,MarkE
定量神经影像学研究价值的一个重要决定因素是所获得信息的可靠性，这是数据收集条件的函数。近红外光谱（NIRS）和脑电描记术是独立的传感领域，非常适合探索大脑对神经激活的反应的主要元素，其集成支持开发适合在开放环境中使用的紧凑，甚至可穿戴的系统。为了最大限度地提高这些资源的可翻译性和实用性，我们建立了一个实验室测试平台，支持对大脑的模拟宏观生物电和血液动力学反应进行测量和分析。试验台的主要元件包括1）可编程拟人头部体模，其包含嵌入在矩阵中的多信号源阵列，该矩阵近似于大脑的背景光学和生物电特性，2）支持多模态研究的集成可平移头盔，以及3）支持直接和不可直接观察的实验衍生测量的基于解剖学的映射的集成数据分析环境。在这里，我们提出了一个系统组件和制造的描述，分析环境的概述，并从一个有代表性的研究，记录的能力，实验验证有效的连接模型的基础上近红外线断层扫描的结果。
An important determinant of the value of quantitative neuroimaging studies is the reliability of the derived information, which is a function of the data collection conditions. Near infrared spectroscopy (NIRS) and electroencelphalography are independent sensing domains that are well suited to explore principal elements of the brain's response to neuroactivation, and whose integration supports development of compact, even wearable, systems suitable for use in open environments. In an effort to maximize the translatability and utility of such resources, we have established an experimental laboratory testbed that supports measures and analysis of simulated macroscopic bioelectric and hemodynamic responses of the brain. Principal elements of the testbed include 1) a programmable anthropomorphic head phantom containing a multisignal source array embedded within a matrix that approximates the background optical and bioelectric properties of the brain, 2) integrated translatable headgear that support multimodal studies, and 3) an integrated data analysis environment that supports anatomically based mapping of experiment-derived measures that are directly and not directly observable. Here, we present a description of system components and fabrication, an overview of the analysis environment, and findings from a representative study that document the ability to experimentally validate effective connectivity models based on NIRS tomography.