Abstract: Systems and methods to analyze decision-making. A processor accesses at least one storage medium storing a high-fidelity recording, the high-fidelity recording includes a stimulus event and one or more rules associated with the stimulus event. The processor presents the high-fidelity recording through a presentation device. The processor receives neural metrics from a neural sensor while the high-fidelity recording is being presented. The processor applies rules to generate reference metrics associated with the stimulus event. The processor modifies elements of the high-fidelity recording based on the reference metrics to distinguish the stimulus event within the high fidelity recording. The processor presents the modified recording by the presentation device.

Abstract: Methods and systems for evaluating a subject's response to a task related to a stimulus include a brain activity sensor, such as an EEG sensor, for measuring neural data generated by the subject in response to the visual stimulus. One or more neural discriminators can be calculated based on the neural data. In order to generate one or more neural discriminators, two or more task conditions can be selected for discrimination. The subject's performance can be evaluated based on the one or more neural discriminators. Feedback can be provided to the subject to assist in achieving better performance.

Abstract: A method comprises selecting, via a computer, an intensity threshold value. The method also comprises defining, via the computer, a plurality of hyperintensities on imaging data based on the intensity threshold value. The method further comprises extracting, via the computer, a plurality of voxels from the imaging data based on the defining. The method additionally comprises determining, via the computer, a total volume of the voxels based on the extracting. The method also comprises determining, via the computer, a regional distribution of WMH based on an anatomical atlas and the total volume.

Abstract: Systems and methods to analyze decision-making. A processor accesses at least one storage medium storing a high-fidelity recording, the high-fidelity recording includes a stimulus event and one or more rules associated with the stimulus event. The processor presents the high-fidelity recording through a presentation device. The processor receives neural metrics from a neural sensor while the high-fidelity recording is being presented. The processor applies rules to generate reference metrics associated with the stimulus event. The processor modifies elements of the high-fidelity recording based on the reference metrics to distinguish the stimulus event within the high fidelity recording. The processor presents the modified recording by the presentation device.

Abstract: Methods and systems for evaluating a subject's response to a task related to a stimulus include a brain activity sensor, such as an EEG sensor, for measuring neural data generated by the subject in response to the visual stimulus. One or more neural discriminators can be calculated based on the neural data. In order to generate one or more neural discriminators, two or more task conditions can be selected for discrimination. The subject's performance can be evaluated based on the one or more neural discriminators. Feedback can be provided to the subject to assist in achieving better performance.

Abstract: A method comprises selecting, via a computer, an intensity threshold value. The method also comprises defining, via the computer, a plurality of hyperintensities on imaging data based on the intensity threshold value. The method further comprises extracting, via the computer, a plurality of voxels from the imaging data based on the defining. The method additionally comprises determining, via the computer, a total volume of the voxels based on the extracting. The method also comprises determining, via the computer, a regional distribution of WMH based on an anatomical atlas and the total volume.

Abstract: Methods and systems for evaluating a subject's response to a task related to a stimulus include a brain activity sensor, such as an EEG sensor, for measuring neural data generated by the subject in response to the visual stimulus. One or more neural discriminators can be calculated based on the neural data. In order to generate one or more neural discriminators, two or more task conditions can be selected for discrimination. The subject's performance can be evaluated based on the one or more neural discriminators. Feedback can be provided to the subject to assist in achieving better performance.