This document discusses, among other things, systems and methods for managing pain of a subject. A system includes one or more physiological sensors configured to sense a physiological signal indicative of patient brain activity. The physiological signals may include an electroencephalography signal, a magnetoencephalography signal, or a brain-evoked potential. The system may extract from the brain activity signal one or more signal metrics indicative of strength or pattern of brain electromagnetic activity associated with pain, and generate a pain score using the one or more signal metrics. The pain score can be output to a patient or a process. The system may select an electrode configuration for pain-relief electrostimulation based on the pain score, and deliver a closed-loop pain therapy according to the selected electrode configuration.

A group association system attempts to identify if an individual is “gifted” in any particular area. A group association system is based on brainwave response to stimulation is disclosed. The system including a brainwave stimuli device which provides stimuli to groups of highly skilled, general skilled, and a general population groups, as test stimuli for determination of group association. A brainwave collection device collects brainwaves of individuals, with the brainwave collection device storing collected brainwaves in a brainwave database. A brainwave processing device analyzes brainwaves received from the brainwave database. A brainwave analysis device uses analyst screens, artificial intelligence or machine learning to analyze the brainwaves create at least one signature development module for determination of similar brainwaves related to different individuals' responses to the same stimuli. In addition, at least one signature development module determines which individuals have the same or similar brainwave responses to the same test stimuli.

A processing device is interfaced with an auditory region of the brain of a subject that is responsible for auditory perception. The processing device receives signals associated with nerve impulses that are transmitted to the auditory region of the brain of the subject in response to sound collected by an ear of the subject. The processing device processes the received signals and generates at least one audio signal that is representative of the auditory perception, by the subject, of the sound collected by the ear. In certain embodiments, the processing device processes at least one audio signal that is representative of at least one sound to convert the at least one audio signal to a sequence of nerve impulses, and selectively provides the sequence of nerve impulses to the auditory region of the brain of the subject such that the subject audially perceives the at least one sound.

A method of localizing brain regions for the purpose of guiding placement of electrodes and related implants is disclosed. The inventive method involves effecting a pulse in a patient's brain, temporally aligning readings taken from an electrode at various depths, measuring local field potentials at each depth during interstimulus intervals, performing a coherence analysis comparing the local field potential measurements of the different depths, and determining a corresponding brain region for the depths compared.

A method of localizing brain regions for the purpose of guiding placement of electrodes and related implants is disclosed. The inventive method involves effecting a pulse in a patient's brain, temporally aligning readings taken from an electrode at various depths, measuring local field potentials at each depth during interstimulus intervals, performing a coherence analysis comparing the local field potential measurements of the different depths, and determining a corresponding brain region for the depths compared.

A method of predicting response to a sensory stimulus includes, with a processor, automatically receiving behavioral data representing the response of a first population of subjects to a reference stimulus. Data representing the neurological responses of a second, different population of subjects to the reference sensory stimulus are received and processed to provide group-representative data indicating commonality between the neurological responses of at least two members of the second population. A mapping from the group-representative data to the received behavioral data is produced. Test data representing the neurological responses of a third population of subjects to a test sensory stimulus are received and processed to provide test group-representative data indicating commonality between the neurological responses to the test sensory stimulus of at least two members of the third population. The mapping is applied to the test group-representative data to provide predicted behavioral data.

A method of predicting response to a sensory stimulus includes, with a processor, automatically receiving behavioral data representing the response of a first population of subjects to a reference stimulus. Data representing the neurological responses of a second, different population of subjects to the reference sensory stimulus are received and processed to provide group-representative data indicating commonality between the neurological responses of at least two members of the second population. A mapping from the group-representative data to the received behavioral data is produced. Test data representing the neurological responses of a third population of subjects to a test sensory stimulus are received and processed to provide test group-representative data indicating commonality between the neurological responses to the test sensory stimulus of at least two members of the third population. The mapping is applied to the test group-representative data to provide predicted behavioral data.

Described herein are noninvasive electrical stimulation devices, systems and methods for stimulation of the Vagus nerve through its auricular branch to provide beneficial physiological responses in subjects, including alleviation, mitigation or elimination of symptoms of various disorders, including metabolic and inflammatory disorders.

A system for training a neurome that emulates a brain of a user comprises a non-invasive brain interface assembly configured for detecting neural activity of the user in response to analog instances of a plurality of stimuli peripherally input into the brain of the user from at least one source of content, memory configured for storing a neurome configured for outputting a plurality of determined brain states of an avatar in response to inputs of the digital instances of the plurality of stimuli, and a neurome training processor configured for determining a plurality of brain states of the user based on the detected neural activity of the user, and modifying the neurome based on the plurality of determined brain states of the user and the plurality of determined brain states of the avatar.

A method of analyzing neurophysiological data recorded from a subject is disclosed. The method comprises identifying activity-related features in the data, and parceling the data according to the activity-related features to define a plurality of capsules, each representing a spatiotemporal activity region in the brain. The method further comprises comparing at least some of the defined capsules to at least one reference capsule, and estimating a brain function of the subject based on the comparison.