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

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

机译:脑室内神经网络活动度估计系统,脑室内神经网络活动度估计方法,脑室内神经网络活动度估计程序以及学习的脑神经活动度估计模型

摘要

To provide a system for estimating activity of intracerebral network, which can estimate various activities of the intracerebral network at relatively high speed using a brain wave signal.SOLUTION: The system for estimating activity of intracerebral network comprises: means acquiring brain wave measurement data and measurement data of functional magnetic resonance imaging simultaneously measured from a subject; means constructing a feature estimation model using the brain wave measurement data as input data, and determining a parameter for prescribing the feature estimation model; means calculating a feature quantity every module, based on each modular output value calculated when the brain wave measurement data is given as the input data; means calculating an image feature quantity every intracerebral network, based on the measurement data of the functional magnetic resonance imaging; and means determining one or a plurality of modules for expressing the specific activity of the intracerebral network among the plurality of modules, by evaluating the correlation between the feature quantity every module and the image feature quantity every intracerebral network.SELECTED DRAWING: Figure 1
机译:提供一种用于估计脑网络活动的系统,该系统可以使用脑波信号以相对较高的速度估计脑网络的各种活动。从受试者同时测量的功能磁共振成像数据;表示使用脑波测量数据作为输入数据来构建特征估计模型,并确定用于规定特征估计模型的参数;表示基于将脑波测量数据作为输入数据时计算出的每个模块输出值,计算每个模块的特征量。表示基于功能磁共振成像的测量数据,计算每个脑内网络的图像特征量;以及通过评估每个模块的特征量与每个大脑网络的图像特征量之间的相关性,确定一个或多个模块来表达多个模块中的大脑网络的特定活动。

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