Cortical network structure that mediates response to brain stimulation, and associated systems and methods are disclosed herein. In one embodiment, a method for brain stimulation includes: delivering an input stimulus to an area of the brain, via a cortical implant; in response to delivering the input stimulus, generating neural signals in the brain; and generating a predicted outcome of the input stimulus. The predicted outcome is based on a set of data derived from a model that combines: protocol features that are brain agnostic, and network features that are based on interactions between neural nodes of the brain.

Aspects of this disclosure describe methods and systems for nerve stimulation using a balloon catheter. The balloon catheter includes a catheter, an inflatable balloon with a surface, and a set of electrodes positioned along the surface of the inflatable balloon. The balloon catheter may be positioned in a vessel of a patient, such as the esophagus. The patient may be concurrently undergoing mechanical ventilation. The balloon catheter is secured in the vessel by inflating the inflatable balloon. When the inflatable balloon is inflated, the surface of the inflatable balloon and the set of electrodes is positioned at an internal wall of the vessel. Stimulation is provided to a nerve near the vessel, via the set of electrodes, based on stimulation parameters. Values for the stimulation parameters may be adjusted based on breathing parameters of the patient. The stimulation parameters may also be adjusted to wean a patient off mechanical ventilation.

One or more systems, computer-implemented methods and/or computer program products to facilitate a process to produce a specified electrical output are provided. A system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an inverse modeling component that can generate an entity-based model and can determine updated one or more electrostatics parameters based on feedback relative to application of an electrical stimulation therapy employing an initial one or more electrostatics parameters on the entity. In one or more embodiments, a configuration component can determine the initial one or more electrostatics parameters based on an initial physical-based model based on an ideal entity, the configuration component can generate an initial physical-based model based on an ideal entity, and/or the inverse modeling component can update the initial model to generate the entity-based model.

A method comprising detecting an epileptic event in a patient; applying an electrical therapy to a first target area in at least one of a brain region or a cranial nerve of said patient in response to said detecting; receiving a body signal responsive to the electrical therapy, wherein said body signal is selected from an autonomic signal, a neurologic signal, a metabolic signal, an endocrine signal, or a tissue stress marker signal; determining whether said body signal indicates that said electrical therapy has an efficacious effect; and terminating the application of said electrical therapy if the response indicates that the electrical therapy has an efficacious effect. An apparatus capable of performing the method. A non-transitive, computer-readable storage device for storing data that when executed by a processor, perform the method.

An implant unit configured for implantation into a body of a subject is provided. The implant unit may include a flexible carrier unit including a central portion and two elongated arms extending from the central portion, an antenna, located on the central portion, configured to receive a signal, at least one pair of electrodes arranged on a first elongated arm of the two elongated arms. The at least one pair of electrodes may be adapted to modulate a first nerve. The elongated arms of the flexible carrier may be configured to form an open ended curvature around a muscle with the nerve to be stimulated within an arc of the curvature.

An example system includes stimulation generation circuitry configured to deliver electrical stimulation to a patient; sensing circuitry configured to sense one or more biomarker signals; and processing circuitry configured to: cause delivery of electrical stimulation with the patient in a first patient state; receive a first instance of a biomarker signal in presence of the electrical stimulation with the patient in the first patient state; cause delivery of electrical stimulation with the patient in a second patient state; receive a second instance of the biomarker signal in presence of the electrical stimulation with the patient in the second patient state; determine whether a difference between the first instance of the biomarker signal and the second instance of the biomarker signal satisfies a threshold; select a therapy mode based on whether the difference satisfies the threshold; and cause delivery of electrical stimulation in accordance with the selected therapy mode.

Closed loop control of electrical stimulation therapy by measuring a neuromuscular response to determine that the electrical stimulation therapy is adequately stimulating the target nerve. In some examples, a system using the techniques of this disclosure may measure a reflex response, e.g., using electromyography (EMG), which measures muscle response or electrical activity in response to a nerve’s stimulation of the muscle. In some examples, the techniques of this disclosure may measure an H-reflex, such as an evoked motor response that occurs caused by a first afferent stimulation, through a signal synapse, and an efferent alpha-motor neuron excitation.

Graphical User Interface (GUI) control of a stimulator device is disclosed. The GUI receives modeling information indicating optimal stimulation parameters for a patient based on patient testing, and may also receive an indication of a particular stimulation mode to be used for the patient which comprises a subset of those parameters. The GUI provides simple options to allow a user to navigate the optimal parameters or subsets to constrain selection to only those stimulation parameters set within the optimal parameters or subsets.

Methods and systems for proving spinal cord stimulation (SCS) for treating pain in a patient are described. Embodiments of the described methods and systems can provide sub-perception SCS that has a fast wash-in time by using stimulation parameters that activate surround inhibition in the patient. Measuring retrograde potentials evoked by the stimulation can be performed to facilitate choosing the best stimulation parameters, in particular, the best stimulating electrode contact configurations for activating surround inhibition. For example, peripheral electrodes may be placed at the center of the patient's pain (within a local receptive field (LRF), with respect to the patient's pain center) and within an area surrounding the patient's pain center (within a surrounding receptive field (SRF), with respect to the patient's pain center). Retrograde evoked potentials measured and the SRF and/or the LRF can be used to guide the selection of the stimulation parameters.

A method of treating a patient, comprising: sensing a biological parameter indicative of respiration; analyzing the biological parameter to identify a respiratory cycle; identifying an inspiratory phase of the respiratory cycle; and delivering stimulation to a hypoglossal nerve of the patient, wherein stimulation is delivered if a duration of the inspiratory phase of the respiratory cycle is greater than a predetermined portion of a duration of the entire respiratory cycle.