Monitoring Dynamics Of Patient Brain State During Neurosurgical Procedures
A computer-implemented method of monitoring dynamics of patient brain state during neurosurgical procedures includes receiving a plurality of brain response images acquired using a functional MRI scan of a patient over a plurality of time points and selecting a plurality of image features from the brain response images. One or more recurrent neural network (RNN) model are used to directly estimate one or more brain state measurements at each time point based on the image features. Once estimated, the brain state measurements are presented on a display.
Claim CLM-00001. 1. A computer-implemented method of monitoring dynamics of patient brain state during neurosurgical procedures, the method comprising:
receiving a plurality of brain response images acquired using a functional MRI (fMRI) scan of a patient over a plurality of time points; selecting a plurality of image features from the brain response images; using one or more recurrent neural network (RNN) models to directly estimate one or more brain state measurements at each time point based on the image features; and presenting the one or more brain state measurements on a display.
Claim CLM-00009. 9. A computer-implemented method of monitoring dynamics of patient brain state during neurosurgical procedures, the method comprising:
receiving a plurality of brain response images collected using a functional MRI scan of a patient over a plurality of time points; selecting a plurality of image features from the brain response images; estimating one or more brain state measurements at each time point by (a) applying a decoding model that convolves the image features with a canonical hemodynamic response function (HRF) to yield combined features and (b) estimating the brain state measurements as a linear combination of the combined features; and presenting the one or more brain state measurements on a display.
Claim CLM-00017. 17. A system for monitoring dynamics of patient brain state during neurosurgical procedures, the system comprising:
a functional MRI scanner configured to acquire a plurality of brain response images over a plurality of time points; one or more processors configured to (a) select a plurality of image features from the brain response images and (b) apply one or more machine learning models to estimate one or more brain state measurements at each time point based on the image features; a display configured to present the one or more brain state measurements.
