An apparatus is for localizing brain tissue regions connected with a brain function in a brain operating field. The apparatus includes a stimulation apparatus and a localization unit with a camera. The stimulation apparatus is configured to carry out a number of stimulation cycles. Each cycle includes a stimulation phase during which the brain function is stimulated and a rest phase during which there is no stimulation of the brain function. The localization unit records at least one stimulation image with the stimulated brain function and at least one reference image without the stimulated brain function during each stimulation cycle and uses the recorded stimulation and reference images to localize the brain tissue regions connected with the stimulated brain function. The stimulation apparatus is configured to output a feedback signal to the localization unit with at least the start of a stimulation cycle being evident from the feedback signal.

A pre-event connectome of a subject brain is accessed, the pre-event connectome defining i) first functional nodes in the subject brain and ii) first edges that represent connections between the first functional nodes before the subject has undergone an event. A post-event connectome of the subject brain is accessed, the post-event connectome defining i) second functional nodes in the subject brain and ii) second edges that represent connections between the second functional nodes after the subject has undergone the event. A connectome-difference map data is generated that records the difference between the pre-event connectome and the post-event connectome. An action is taken based on the connectome-difference map data.

This disclosure provides methods for diagnosing a cognitive disorder including performing a tactile perception test on a subject, measuring the subject's tactile perception test performance with a microelectromechanical sensor, and performing a cognitive disorder diagnosis on the subject. The tactile perception test may include distinguishing between various shaped and sized objects and selecting a predetermined one. The tactile perception test may include a two-point discrimination test. The tactile perception test may include testing lower extremity coordination. The tactile perception test may include testing upper extremity coordination. The cognitive disorder may include dementia, Alzheimer's, brain trauma, or concussion. The microelectromechanical sensor may include an accelerometer or gyroscope.

Systems and method of the invention provide an in situ diagnostic system for traumatic brain injury (TBI). In implementations, a method includes: receiving, by a computing device, real-time user parameter data from one or more sensors of the user during a monitoring event; writing, by the computing device, the real-time user parameter data as time series data in a data store; determining, by the computing device, that at least one parameter of the real-time user parameter data meets or exceeds a predetermined parameter threshold value; calculating, by the computing device, a diagnostic score for the user based on the time series data, baseline parameter data of the user, and a determined protective equipment profile of the user; and automatically diagnosing a potential traumatic brain injury (TBI) of the user in situ based on the diagnostic score meeting or exceeding a diagnostic threshold.

Disclosed are techniques for identifying and displaying spatial relationships between a seed parcel and other parcels in a patient's brain. A method can include obtaining connectivity data characterizing, for each pair of parcels including a first parcel and a second parcel from a group of parcels, a connectivity metric measuring a relationship between the first and second parcels in the patient's brain, obtaining brain atlas data, identifying a seed parcel from the group of parcels, determining one or more other parcels in the group of parcels having a connectivity metric with the seed parcel that satisfies a threshold connectivity metric condition to provide at least one seed-connected parcel, and for the seed-connected parcel, providing the brain atlas data and an indication of a degree of the connectivity metric between the seed parcel and seed-connected parcel for display as an overlay on a visualization of the brain atlas data.

The invention herein disclosed is a dual-function system that is used to investigate the response by an individual with neural-disorder symptoms to a variety of stimuli having different intensities and durations. Once a combination of stimuli and their settings is found to produce minimal frequency and severity of neural-disorder symptoms, the invention is then used to apply those stimuli and settings that minimize frequency and severity of symptoms as a therapeutic tool.

Embodiments may provide self-guided, self-directed diagnostics and treatment of neural conditions. For example, a system may comprise: a processor, signal output circuitry interfacing the processor with a plurality of stimulation devices, the processor to control the stimulation devices to generate and transmit stimulation signals, signal input circuitry interfacing the processor with a plurality sensing devices, program instructions and data stored in the memory to configure the processor to receive sensed signals from the sensing devices, wherein the signal output circuitry and the signal input circuitry are configured to enable simultaneous stimulation and sensing, and program instructions and data stored in the memory to configure the processor to perform dynamic closed loop feedback of the stimulation signals based on the received sensed signals to provide self-guided, self-directed diagnostics and treatment of neural conditions using at least one recipe for a treatment strategy guided by artificial intelligence.

Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having one or more autonomous or semi-autonomous operation features are provided. According to certain aspects, the operating status of the features, the identity of a vehicle operator, risk levels for operation of the vehicle by the vehicle operator, or damage to the vehicle may be determined based upon sensor or other data. According to further aspects, decisions regarding transferring control between the features and the vehicle operator may be made based upon sensor data and information regarding the vehicle operator. Additional aspects may recommend or install updates to the autonomous operation features based upon determined risk levels. Some aspects may include monitoring transportation infrastructure and communicating information about the infrastructure to vehicles.

A stroke detection device includes a cell phone having a sensor adapted to sense a characteristic of the user of the cell phone. An app executed by the cell phone passively monitors the characteristic to determine if the user has experienced a stroke. The app requests that the user take one or more tests using the cell phone if the presence of a stroke is possible. The tests include the user speaking a specific phrase into the cell phone that is compared to a previously recorded sound sample of the user; the user taking a picture of himself or herself with the cell phone that the app compares to a previous picture of the user; and the user attempting to hold his or her arm out straight while holding the cell phone wherein accelerometers in the phone measure the steadiness of his or her arm.

Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having one or more autonomous or semi-autonomous operation features are provided. According to certain aspects, the operating status of the features, the identity of a vehicle operator, risk levels for operation of the vehicle by the vehicle operator, or damage to the vehicle may be determined based upon sensor or other data. According to further aspects, decisions regarding transferring control between the features and the vehicle operator may be made based upon sensor data and information regarding the vehicle operator. Additional aspects may recommend or install updates to the autonomous operation features based upon determined risk levels. Some aspects may include monitoring transportation infrastructure and communicating information about the infrastructure to vehicles.