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.
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