Abstract: Glucose systems that include a minimally invasive scalp-worn device that includes first and second sensors. The systems are adapted to determine one or more glucose states based on sensed EEG signals using the scalp-worn device.

Abstract: Blood glucose states based at least on sensed brain activity data. Blood glucose states may be predicted states using prediction models, and may be real-time or future glucose states. One or more wearable sensors, optionally adapted for use in either single channel or dual channel sensing, can record brain activity signals and communicate brain activity signal data to a remote device.

Abstract: Provided herein is a method of targeting a neural circuit of a subject having an impulsivity-related or uncontrollable behavior, the method comprising (a) generating a circuit specific brain connectivity profile using a directionality map of water diffusivity based on MRI of the subject; (b) generating a circuit-specific voxel-wise connectivity matrix with the circuit specific brain connectivity profile to define a region of interest comprising the neural circuit to be targeted; (c) using an algorithm to segment the circuit-specific voxel-wise connectivity matrix to generate a 3D sub-region to identify the neural circuit to be targeted; and (d) targeting the identified neural circuit with a neuromodulation therapy.

Abstract: The present invention provides, inter alia, methods, apparatus, and systems useful for ameliorating impulse control disorders known to be extremely disabling and common to many neurological and psychiatric conditions using closed-loop (responsive) neuro stimulation.

Abstract: Systems and methods for predictive glucose in accordance with embodiments of the invention are illustrated. One embodiment includes glucose management device, including a brain signal recorder, and a controller, including a processor, and a memory, the memory containing a glucose monitoring application configured to direct the processor to record a brain activity signal of a user's brain using the brain signal recorder, and decode the brain activity signal to predict future glucose levels of the patient.

Abstract: Glucose forecasting systems and methods that include a minimally invasive scalp-worn behind-the-ear EEG device that includes first and second sensors. With an application on a personal device, analyzing the processed EEG signals with a trained forecasting model and forecasting future glucose levels, of the subject; causing the personal device to visually present on a display information that is indicative of the forecasted future glucose levels.

Abstract: Blood glucose states based at least on sensed brain activity data. Blood glucose states may be predicted states using prediction models, and may be real-time or future glucose states. One or more wearable sensors, optionally adapted for use in either single channel or dual channel sensing, can record brain activity signals and communicate brain activity signal data to a remote device.

Abstract: The present invention provides, inter alia, methods, apparatus, and systems useful for ameliorating impulse control disorders known to be extremely disabling and common to many neurological and psychiatric conditions using closed-loop (responsive) neuro stimulation.

Abstract: Blood glucose states based at least on sensed brain activity data. Blood glucose states may be predicted states using prediction models, and may be real-time or future glucose states. One or more wearable sensors, optionally adapted for use in either single channel or dual channel sensing, can record brain activity signals and communicate brain activity signal data to a remote device.

Abstract: Methods that initiate an alert of an upcoming Loss of Control (“LOC”) event, and devices and systems that are configured to alert or initiate an alert about of an upcoming LOC event, wherein the method is adapted to receive as input sensed patient neural data or information that is indicative of sensed patient neural data, and detect an upcoming LOC event using at least the sensed patient neural data or the information indicative of the sensed patient neural data.

Abstract: Blood glucose states based at least on sensed brain activity data. Blood glucose states may be predicted states using prediction models, and may be real-time or future glucose states. One or more wearable sensors, optionally adapted for use in either single channel or dual channel sensing, can record brain activity signals and communicate brain activity signal data to a remote device.

Abstract: Systems and methods for predictive glucose in accordance with embodiments of the invention are illustrated. One embodiment includes glucose management device, including a brain signal recorder, and a controller, including a processor, and a memory, the memory containing a glucose monitoring application configured to direct the processor to record a brain activity signal of a user's brain using the brain signal recorder, and decode the brain activity signal to predict future glucose levels of the patient.

Abstract: Blood glucose states based at least on sensed brain activity data. Blood glucose states may be predicted states using prediction models, and may be real-time or future glucose states. One or more wearable sensors, optionally adapted for use in either single channel or dual channel sensing, can record brain activity signals and communicate brain activity signal data to a remote device.

Abstract: Blood glucose states based at least on sensed brain activity data. Blood glucose states may be predicted states using prediction models, and may be real-time or future glucose states. One or more wearable sensors, optionally adapted for use in either single channel or dual channel sensing, can record brain activity signals and communicate brain activity signal data to a remote device.

Abstract: Blood glucose states based at least on sensed brain activity data. Blood glucose states may be predicted states using prediction models, and may be real-time or future glucose states. One or more wearable sensors, optionally adapted for use in either single channel or dual channel sensing, can record brain activity signals and communicate brain activity signal data to a remote device.

Abstract: Provided herein is a method of targeting a neural circuit of a subject having an impulsivity-related or uncontrollable behavior, the method comprising (a) generating a circuit specific brain connectivity profile using a directionality map of water diffusivity based on MRI of the subject: (b) generating a circuit-specific voxel-wise connectivity matrix with the circuit specific brain connectivity profile to define a region of interest comprising the neural circuit to be targeted: (c) using an algorithm to segment the circuit-specific voxel-wise connectivity matrix to generate a 3D sub-region to identify the neural circuit to be targeted; and (d) targeting the identified neural circuit with a neuromodulation therapy.

Abstract: Provided herein, inter alia, are methods for detecting brain structure modulations associated with impaired inhibitory control disorders (ICD). The methods are useful for treating of a variety of neurological and psychiatric conditions, and can include neurostimulation to specific regions of the brain.

Abstract: The present invention provides, inter alia, methods, apparatus, and systems useful for ameliorating impulse control disorders known to be extremely disabling and common to many neurological and psychiatric conditions using closed-loop (responsive) neuro stimulation.

Abstract: The present invention provides, inter alia, methods, apparatus, and systems useful for ameliorating impulse control disorders known to be extremely disabling and common to many neurological and psychiatric conditions using closed-loop (responsive) neuro stimulation.

Abstract: The present invention provides, inter alia, methods, apparatus, and systems useful for ameliorating impulse control disorders known to be extremely disabling and common to many neurological and psychiatric conditions using closed-loop (responsive) neuro stimulation.