首页> 外国专利> INTRACEREBRAL NETWORK ACTIVITY ESTIMATION SYSTEM, INTRACEREBRAL NETWORK ACTIVITY ESTIMATION METHOD, INTRACEREBRAL NETWORK ACTIVITY ESTIMATION PROGRAM, AND LEARNED BRAIN ACTIVITY ESTIMATION MODEL

INTRACEREBRAL NETWORK ACTIVITY ESTIMATION SYSTEM, INTRACEREBRAL NETWORK ACTIVITY ESTIMATION METHOD, INTRACEREBRAL NETWORK ACTIVITY ESTIMATION PROGRAM, AND LEARNED BRAIN ACTIVITY ESTIMATION MODEL

机译:脑内网络活动性估计系统,脑内网络活动性估计方法,脑内网络活动性估计程序和学习的脑活动性估计模型

摘要

An intracerebral network activity estimation system (1) includes a means for acquiring brain wave measurement data (121) and functional magnetic resonance imaging measurement data (122) measured simultaneously from a subject (S), a means (152) for constructing a feature estimation model (10) that has the brain wave measurement data as input data and determining parameters that define the feature estimation model, a means (154) for calculating the feature value of each module on the basis of the output value of each module calculated when the brain wave measurement data are provided as input data, a means (158) for calculating the image feature value of each intracerebral network on the basis of the functional magnetic resonance imaging measurement data, and a means (160) for determining one or a plurality of modules that express the activity of a specific intracerebral network among the plurality of modules by evaluating the correlation between the feature value of each module and the image feature value of each intracerebral network.
机译:脑内网络活动估计系统(1)包括用于获取从被检者(S)同时测量的脑电波测量数据(121)和功能磁共振成像测量数据(122)的装置,用于构建特征估计的装置(152)。具有脑波测量数据作为输入数据并确定用于定义特征估计模型的参数的模型(10),用于基于每个模块的输出值来计算每个模块的特征值的装置(154)。提供脑波测量数据作为输入数据,用于基于功能磁共振成像测量数据来计算每个脑神经网络的图像特征值的装置(158),以及用于确定一个或多个装置的装置(160)。通过评估每个模块的特征值与模型之间的相关性来表达多个模块中特定大脑网络活动的模块每个大脑网络的图像特征值。

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