Devices, methods and systems for transmitting signals through a device located in a blood vessel of an animal for stimulating and/or sensing activity of media proximal to the devices. The media can include tissue and/or fluid. A method of controlling an apparatus in communication with a brain machine interface. The method can include measuring a first neural activity in a first neural area and measuring a second neural activity in a second neural area. The first neural activity can be associated with a first intent. The method can include creating and delivering, via the processor, one or more first control signals to the apparatus upon comparing the second neural activity with the first neural activity, and confirming, based on this comparison, that the second neural activity is associated with the first intent.

Devices, methods and systems for transmitting signals through a device located in a blood vessel of an animal for stimulating and/or sensing activity of media proximal to the devices. The media can include tissue and/or fluid. A method of controlling an apparatus in communication with a brain machine interface. The method can include measuring a first neural activity in a first neural area and measuring a second neural activity in a second neural area. The first neural activity can be associated with a first intent. The method can include creating and delivering, via the processor, one or more first control signals to the apparatus upon comparing the second neural activity with the first neural activity, and confirming, based on this comparison, that the second neural activity is associated with the first intent.

Devices, methods and systems for transmitting signals through a device located in a blood vessel of an animal for stimulating and/or sensing activity of media proximal to the devices. The media can include tissue and/or fluid. A method of controlling an apparatus in communication with a brain machine interface. The method can include measuring a first neural activity in a first neural area and measuring a second neural activity in a second neural area. The first neural activity can be associated with a first intent. The method can include creating and delivering, via the processor, one or more first control signals to the apparatus upon comparing the second neural activity with the first neural activity, and confirming, based on this comparison, that the second neural activity is associated with the first intent.

Methods and systems for optimizing invasive and noninvasive brain stimulation are described herein. In a particular embodiment, methods and systems for a combinatorial, iterative approach to modify behavior are presented wherein deep brain stimulation (DBS) and other brain stimulation therapies are implemented in combination with monitoring the brain activity of an individual to optimize the effectiveness of the combinatorial approach to modify behavior. Methods described herein are iterative and systems described herein are utilized in iterative fashion. In a particular embodiment, modifying behavior provides a therapy for an individual in need thereof.

A method includes applying a plurality of electrical stimuli having differing amplitudes at a first position in a brain of a patient. The method further includes, for each of the plurality of electrical stimuli, detecting a resonant response from a target neural structure in the brain, each resonant response evoked by a respective one of the electrical stimuli. The method also includes determining a change in one or more common waveform characteristics between two or more of the detected resonant responses and determining an effectiveness in delivering therapeutic stimulation at the first position based on the change.

Described herein are systems and methods for the automated prediction of relapse of a neurological or psychiatric disorder. The systems and methods may generally use patient data such as patient characteristics, treatment history, clinical history, biometric data, and/or neuroimaging data as inputs to a predictive model. Additionally, the systems and methods may be integrated with a treatment system so that neurostimulation may be automatically delivered when triggered by the predictive model. Systems and methods configured to propose a personalized treatment schedule for maintaining the effects of neurostimulation therapy are also described herein.

In a patient suffering from neural impairment, stimulation is provided to sensory surfaces of the face and/or neck, or more generally to areas of the body that stimulate the trigeminal nerve, while performing an activity intended to stimulate a brain function to be rehabilitated. The simulation may then be continued after the performance of the activity has ceased. It has been found that the patient's performance of the activity is then improved after stimulation has ceased. Moreover, it tends to improve to a greater extent, and/or for a longer time, when the post-activity stimulation is applied, as compared to when post activity stimulation is not applied.

A method is provided for optimization of a stimulation specificity and an energy consumption of implanted electrodes in excitable tissue of a patient. The method may involve electrically stimulating excitable tissue between one or more combinations of electrode pairs in a cluster of electrodes, or electrically stimulating excitable tissue between one or more combinations of electrode pairs in two or more clusters of electrodes. The two electrodes of the electrode pairs may not belong to a same cluster. Each of the electrodes may be located on a physically separated entity, such that the tissue surrounds and separates each electrode from all other electrodes, thereby allowing tissue between the electrodes to be stimulated. An electrode pair or pairs which give rise to a lowest energy consumption while still giving a therapeutic effect may be chosen. Alternatively, each electrode pair may be assigned a value related to the information provided by the patient and the energy consumption, and the electrode pair or pairs which give(s) rise to a most favorable assigned value may be chosen.

Methods for treating sleep disorders and for reducing a risk associated with developing a sleep 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 sleep disorders as well as an increased risk of developing a sleep disorder. One aspect of the present technology is directed to methods for improving a patient's calculated risk score corresponding to a sleep disorder status in the patient. Other aspects are directed to reducing a likelihood of developing a sleep disorder in patients presenting one or more sleep disorder risk factors. Renal sympathetic nerve activity can be attenuated to improve a patient's sleep disorder status or risk of developing a sleep 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 system and method for optimizing parameters of a DBS pulse signal for treatment of a patient is provided. In predicting optimal DBS parameters, functional brain data is input into a predictor system, the functional brain data acquired responsive to a sweeping across a multi-dimensional parameter space of one or more DBS parameters. Statistical metrics of brain response are extracted from the functional brain data for one or more ROIs or voxels of the brain via the predictor system, and a DBS functional atlas is accessed, via the predictor system, that comprises disease-specific brain response maps derived from DBS treatment at optimal DBS parameter settings for a plurality of diseases or neurological conditions. One or more optimal DBS parameters are predicted for the patient based on the statistical metrics of brain response and the DBS functional atlas via the predictor system.