Abstract: A method for mapping functions of a brain includes receiving an MRI data set for a subject comprising fMRI data acquired with the subject lying in MRI scanning equipment in a state of rest, generating a voxel-wise correlation map that identifies, for each of a plurality of voxels of the brain, a measure of the degree of time correlation between spontaneous brain activations at one voxel of the brain as revealed in the resting-state fMRI data and spontaneous brain activations at each of the other voxels of the plurality of bran voxels as revealed in the resting-state fMRI data. The voxel-wise correlation map is input to a trained 3D convolutional neural network based machine learning algorithm to generate a functional connectivity map identifying a location where a predefined brain function is performed within the subject's brain by identifying the voxels involved in performing that predefined brain function.

Abstract: A method for mapping brain function of a subject includes receiving a dataset of resting state fMRI (RS-fMRI) three dimensional (3D) image frames of the subject's brain, and inputting the 3D image frames to a deep learning artificial neural network. For each voxel of each 3D image frame and for each resting state network of a plurality of resting state networks, the deep learning artificial neural network calculates a probability that the voxel belongs to the resting state network. The deep learning artificial neural network is trained beforehand using a plurality of 3D image frames including previously defined resting state networks obtained from a plurality of calibration subjects. The method includes generating one or more functional map of the plurality of resting state networks of the subject's brain using the probabilities calculated by the artificial neural network.

Abstract: A device that can be mounted inside a window frame for protection during hurricanes and tornadoes instead of hanging plywood. The “XFrame” has two adjustable metal rods (able to adjust the length of the bars to fit in a window frame). The two bars may be bolted together in the middle and adjustable at an angle, such that a user can adjust both the length of the bars and the angles to make them fit into virtually any size window frame. The user may adjust the bars to fit approximately inside the window frame and then engage the tension mechanism to lock them in place tightly.

Abstract: A method for mapping brain function of a subject includes receiving a dataset of resting state fMRI (RS-fMRI) three dimensional (3D) image frames of the subject's brain, and inputting the 3D image frames to a deep learning artificial neural network. For each voxel of each 3D image frame and for each resting state network of a plurality of resting state networks, the deep learning artificial neural network calculates a probability that the voxel belongs to the resting state network. The deep learning artificial neural network is trained beforehand using a plurality of 3D image frames including previously defined resting state networks obtained from a plurality of calibration subjects. The method includes generating one or more functional map of the plurality of resting state networks of the subject's brain using the probabilities calculated by the artificial neural network.