Techniques are disclosed for delivering electrical stimulation therapy to a patient. In one example, a medical system delivers electrical stimulation therapy to a tissue of the patient via electrodes. The medical system determines a first change of a first sensed signal of the patient to movement by the patient and a second change of a second sensed signal of the patient to the movement by the patient. Based on the first change and the second change, the medical system selects one of the first sensed signal and the second sensed signal of the patient for controlling the electrical stimulation therapy. The medical system adjusts a level of at least one parameter of the electrical stimulation therapy based on the selected one of the first sensed signal and the second sensed signal.

Systems and techniques are disclosed to generate programming parameters and modifications during closed-loop adjustment of an implantable neurostimulation device treatment programming, through the identification and application of weights determined from user input indications and rankings of therapy objectives. In an example, a system to generate programming values of a neurostimulation device performs operations that: obtains human input which indicates multiple therapy objectives for neurostimulation treatment of a human patient; operates a model (such as an artificial intelligence model) to determine parameter outputs for programming of the neurostimulation device; identifies weights, based on the therapy objectives, usable in the model; produces a composite output from the model, by applying the identified weights to a combination of the parameter outputs of the programming model; and the resulting composite output provides neurostimulation device programming values for neurostimulation treatment designed to address the therapy objectives.

Neurostimulation of a mixed nerve comprising a plurality of nerve fibre types. An implantable electrode array comprising a plurality of electrodes is positioned proximal to the mixed nerve. An electrical stimulus is delivered from at least one nominal stimulus electrode of the implantable electrode array, in accordance with a set of stimulus parameters. A recording of the electrophysiological response evoked by the electrical stimulus is obtained from at least one nominal recording electrode of the implantable electrode array. The recording is analysed by assessing one or more selected characteristics of the recording, and from the observed selected characteristics a level of recruitment of one or more fibre types recruited by the electrical stimulus is identified. The stimulus parameters are refined in a manner to effect selective recruitment of one or more fibre types relative to other fibre types of the mixed nerve.

Methods for treating anxiety disorders and for reducing a risk associated with developing an anxiety disorder in patients via therapeutic renal neuromodulation and associated systems are disclosed herein. Sympathetic nerve activity can contribute to several cellular and physiological conditions associated with anxiety disorders as well as an increased risk of developing an anxiety disorder. One aspect of the present technology is directed to methods for improving a patient's calculated risk score corresponding to an anxiety disorder status in the patient. Other aspects are directed to reducing a likelihood of developing an anxiety disorder in patients presenting one or more anxiety disorder risk factors. Renal sympathetic nerve activity can be attenuated to improve a patient's anxiety disorder status or risk of developing an anxiety disorder. The attenuation can be achieved, for example, using an intravascularly positioned catheter carrying a therapeutic assembly configured to use, e.g., electrically-induced, thermally-induced, and/or chemically-induced approaches to modulate the renal sympathetic nerve.

A closed-loop brain computer interface (BCI) system for treating mental or emotional disorders with responsive brain stimulation is disclosed. The system includes an implanted module including a processor configured to process neural data acquired from one or more electrodes in communication with one or more brain regions of a patient. The implanted module is configured to deliver stimulation to electrodes in contact with the brain regions. An interface is in wireless communication with the implanted module and configured to receive the neural data from the implanted module. A controller processes the patient's brain and body signals to provide patient intentional control over the stimulation applied to the one or more electrodes and to control the stimulation.

The present invention involves methods of stimulating tissue using one or more series of electrodes to apply energy through a combination of electrodes to stimulate various regions within an area of interest. Such an approach can triangulate areas where stimulation and/or treatment is needed for deep brain stimulation (DBS). In addition, the triangulation system and methods described herein can be applied to any portion of a body where stimulation of a particular area is required while using the vascular network to access tissue surrounding that particular area so that a combination of electrodes can be used to identify the region of interest that requires stimulation.

The present application relates to a new stimulation design which can be utilized to treat neurological conditions. The stimulation system produces a burst mode stimulation which alters the neuronal activity of the predetermined site, thereby treating the neurological condition or disorder. The burst stimulus comprises a plurality of groups of spike pulses having a maximum inter-spike interval of 100 milliseconds. The burst stimulus is separated by a substantially quiescent period of time between the plurality of groups of spike pulses. This inter-group interval may comprise a minimum of 5 seconds.

Disclosed are various examples and embodiments of systems, devices, components and methods configured to treat mood disorders in a patient using a compact implantable neurostimulator and corresponding lead(s) that are shaped, sized and configured to be implanted beneath a patient's skin in the head or neck, and to stimulate one or more target cranial nerves. The one or more medical electrical leads comprising electrode(s) are positioned adjacent to, in contact with, or in operative positional relationship to, the one or more target cranial nerves of the patient. In some embodiments, electrical stimulation is provided to the one or more target cranial nerve(s) of the patient for periods of time ranging between 30 and 60 minutes, once or twice per day. In some embodiments, power is provided to the implantable neurostimulator transcutaneously by inductive, wireless, RF, acoustic, microwave, or other suitable non-invasive means.

A system for differential recording connectable to an electrical lead with at least two electrodes, including: the lead having a distal end; at least one amplifier electrically connectable to the at least two electrodes, wherein the at least one amplifier subtracts a signal recorded by one of the at least two electrodes, from a signal recorded by the other one of the at least two electrodes to generate a differential signal; a memory configured for storing said differential signal and reference indications of electrical signals associated with neural tissue; a processing circuitry for detection of an anatomical position, wherein the processing circuitry calculates an anatomical position of the electrical lead based on processing of the differential signal and the reference indications of electrical signals associated with the neural tissue.

A deep brain stimulation apparatus according to the present disclosure includes: a stimulator for applying electrical stimulation to a brain; a light source for providing light to the brain; plasmonic nano-particles which, when the brain releases a neurotransmitter as a result of the electrical stimulation, come into contact with the neurotransmitter to enable surface-enhanced Raman scattering (SERS); a photodetector which includes the plasmonic nano-particles and, when the light from the light source is scattered by the neurotransmitter which has come into contact with the plasmonic nano-particles, detects the scattered light; a signal processing analyzer for converting a light signal from the photodetector to an electric signal; and a controller for receiving an analysis signal from the signal processing analyzer to control the stimulator.