Methods, systems and devices for treating chronic pain by inducing stimulation to a predetermined region of the brain and measuring neural activity response to the stimulation and evaluating a neuroplasticity and/or excitability of neural-structures in a predetermined brain region, then stimulating the predetermined brain region to treat the chronic pain.

A neural analysis system, including: a neural event extractor for generating Sp/Ap curve data and field potential data for background and initial response segments obtained from a person; a correlator for correlating the Sp/Ap curve data and field potential data with pathology data for a condition, and generating biomarker data points for axes of a biomarker display; and a display module for providing display data to generate the display with the points for use in assessing the person relative to the condition.

Provided is a cognitive function testing system capable of efficiently and objectively measuring cognitive functions related to, for example, ADHD and easily collecting detailed data. In addition, a cognitive function estimation system is provided to enable estimating and determining the probability of an individual having a disorder such as ADHD after the cognitive functions related to, for example, ADHD have been efficiently and objectively measured. In contrast to the conventional Stroop interference test that uses paper, one problem is displayed on one screen, and not only the correctness result of the problem for the test subject, but also coordinate information for when the test subject responds by manipulating a touch panel display, are recorded in a problem answer table. Furthermore, an estimation calculation based on a learning algorithm can be used to estimate the degree of cognitive function of the test subject.

Cortical entrainment device (CED) and associated methods are provided. The CED device includes an electroencephalographic (EEG) analysis module configured to receive and process an EEG waveform for analyzing brain activity of a patient with epilepsy or a seizure disorder; an interictal epileptiform discharge (IED) analysis module configured to receive and process an IED waveform for analyzing the brain activity of the patient; and a diagnostic module that is configured to interface with the EEG analysis module and the IED analysis module, to evaluate spectral and temporal waveform characteristics, and to provide instructions to a therapy module for providing a stimulus for the patient based on the analysis by the EEG analysis module and the IED analysis module.

The present disclosure pertains to a system configured to a system configured to detect slow waves based on adjusted slow wave detection criteria and time delivery of the sensory stimulation to correspond to slow waves detected based on the adjusted criteria. The system is configured to adjust slow wave detection criteria to enhance detection of slow waves in a subject. Slow wave detection using adjustable slow wave detection criteria produces more stimulation relative to prior art systems because more individual stimuli are provided if more slow waves are detected. In some embodiments, the system includes one or more of a sensory stimulator, a sensor, a processor, electronic storage, a user interface, and/or other components.

A method of estimating the likelihood of brain concussion from neurophysiological data acquired from the brain of the subject is disclosed. The method comprises: identifying activity-related features in the data; constructing a subject-specific brain network activity (BNA) pattern having a plurality of nodes, wherein each node represents a feature of the activity-related features, and each pair of nodes is assigned with a connectivity weight; calculating a BNA pattern similarity describing a comparison between the constructed BNA pattern and a baseline BNA pattern being specific to the subject; and assessing the likelihood of brain concussion responsively to the BNA pattern similarity.

A method for estimating a brain activity response following a stimulus of a person comprises the steps: providing a usage data set of the person from a personal device used by said person, wherein at least one usage attribute is associated to said usage data set, wherein attribute data is associated to each of the at least one usage attribute, providing a computational inference model, generated from a plurality of brain activity data sets and a plurality of usage data sets, wherein each brain activity data set comprises data derived from a brain activity response following a sensory stimulus, submitting the attribute data of each of the at least one usage attributes to said computational inference model, estimating a brain activity response following a sensory stimulus of said person by evaluating said computational inference model for the submitted attribute data. The method is useful to determine, for example the influence of intensive touch pad usage (of a smartphone) on somatosensory evoked potentials.

A method and system affects the mental state of a user through cognitive or attention training by providing or displaying a first auditory or visual stimulus to a user, manipulating one or more features of the stimulus to provide or display a second auditory or visual image stimulus, and repeating the steps of manipulating features of the auditory or visual image stimulus to provide or display one or more additional auditory or visual image stimuli to the user. An electronic/computing device receives input from the user, such as EEG signal information, indicating the user's mental state which is evaluated to determine a mood of the user. In response to improvement in the user's mood, the user is rewarded with an additional selected auditory or visual image stimulus. Further, based on improvements in the user's mood, the manipulation of features and provision or display of the stimuli may be adjusted.

The present disclosure describes a system configured to adjust the duration of individual sensory stimuli provided to a subject. The system is configured to determine a current amount of slow wave activity in the subject, responsive to the subject being presently in slow wave sleep, control one or more sensory stimulators to provide the individual sensory stimuli to the subject, determine habituation of the subject to the individual sensory stimuli and, responsive to the slow wave activity in the subject for a period of time following the providing of the individual sensory stimuli showing habituation, adjust the duration of the individual sensory stimuli.

Provided are a method, a device, a system, and a program for evaluating similarity of brain activity with respect to an object to be evaluated, using data obtained by a simple measurement of brain waves. Brain wave data related to cognitive processing with respect to a plurality of sensory stimuli are dimensionally compressed, and a distribution of the object to be evaluated is displayed on a two-dimensional plane or three-dimensionally. In this way, similarity of brain information with respect to the plurality of sensory stimuli is evaluated, and the similarity is visualized. The brain wave data related to the cognitive processing include brain wave data upon selection of a stimulus as a target, and brain wave data caused by a non-target stimulus event.