Electrical stimulation of specific facial and lingual nerves creates a more sustained pulsatility activity compared to stimulation of other cranial nerves. Pulsatility of arteries has intrinsic time constraints related to the time for vasodilation/constriction and time to return to baseline (TBL) after electrical stimulation which may affect the pulsatility response. Control of temporal patterning and the stimulation waveform maximizes the physiological response to cerebral pulsatility and its resulting effects on cerebral spinal fluid penetration into the brain parenchyma for a multitude of therapeutic uses including clearing misfolded proteins and/or administered pharmacological agents, diluting endogenous neurochemical concentrations within the brain, and reducing non-synaptic coupling.

Mandibular lingual repositioning devices include a mandibular piece having a first teeth covering and a housing proximate a left molar portion and a right molar portion that each have a first drive and a protrusive flange extending cranially and a stimulator protrusion extending toward the tongue each extend from the housing, and include a maxillary piece having a second teeth covering and a housing proximate each of a left molar portion and a right molar portion that each have a second driver. Each housing encloses a power source electrically connected to a motor and to an on-board circuit board, and has its respective driver operatively connected to a respective motor. Each housing of the mandibular piece also has an electrode of a stimulator electrically connected to its power source. Each first driver is operatively engaged with the maxillary piece and each second driver is operatively engaged with a protrusive flange.

Systems and methods for the concurrent treatment of multiple oral diseases and defects while promoting general oral hygiene utilizing electricity are provided for non-human animals. Electrodes are used to deliver an electrical current to the gingival tissues of a mouth in order to achieve a number of therapeutic, prophylactic, and regenerative benefits. These benefits include killing oral microbes, increasing oral vasodilation, reducing oral biofilm, improving oral blood circulation, reversing oral bone resorption, promoting oral osteogenesis, treating gum recession, and fostering gingival regeneration. Other benefits include the treatment of gingivitis, periodontitis, and oral malodor, and other systemic diseases correlated with oral pathogens.

A system (SYS) and related method for imaging support. The system (SYS) comprises a stimulus delivery component (SDC) configured to cause a chemoreceptor stimulus in a patient residing in or at an imaging apparatus (IA). A response measuring component (RMC) measure a response of the patient to the stimulus, and a decision logic (DL) establishes, based on the measured response, a sedation status of the patient for the purpose of imaging the patient. An imaging operation can be modified, for instance, halted if the patient is no longer sufficiently sedated.

A neuromodulation system is provided herein. The system can include a neuromodulation device, an electronics package, which can be part of the neuromodulation device; an external controller; a sensor; and a computing device. The neuromodulation device can include a neuromodulation lead having a lead body configured to be bent to a desired shape and to maintain that shape in order to position the electrodes relative to neural and/or muscular structures when fully deployed. The neuromodulation device can also include an antenna including an upper and a lower coil electrically connected to each other in parallel. The computing device can execute a closed-loop algorithm based on physiological sensed data relating to sleep.

An intra-oral appliance to power and/or communicate with a neurostimulator is provided. The intra-oral appliance can include a teeth covering configured to fit over mandibular incisor, canine and/or premolar teeth of a human being and a remote controller in the form of a housing extending posteriorly from and operably connected to the teeth covering. The housing can include a power source, a coupling coil configured to transmit power to the neurostimulator and configured to receive power from an external charger, and electrical circuitry operably connected to the coupling coil and the power source.

Simulation electrode assemblies for applying bilateral stimulation, for example stimulating both the left and right hypoglossal nerves of a patient in the treatment of sleep disordered breathing. In some methods, a stimulation electrode assembly is inserted through an incision at a side of the patient and implanted at a location extending across the patient's mid-line.

A mouthpiece (1) for the treatment of dysphagia, the mouthpiece (1) being shaped for receipt and retention within the mouth of a user, the mouthpiece (1) comprises at least one abutment surface for engaging at least one of the inside surface of a lip and/or the inside of a cheek and/or the palate of a user, the abutment surface comprising stimulation means for providing electrical stimulation to the inside surface of a lip and/or the inside of a cheek and/or the palate of a user, in use.

A neuromodulation lead that is biased towards a substantially omega shape when fully deployed is provided. The neuromodulation lead includes a left set of electrodes disposed on a left portion of the lead body of the neuromodulation lead and a right set of electrodes disposed on a right portion of the lead body of the neuromodulation lead. The neuromodulation lead can be positioned in the plane between the genioglossus muscle and the geniohyoid muscle.

Neural stimulation is provided according to a closed loop algorithm to treat sleep disordered breathing (SDB), including obstructive sleep apnea (OSA). The closed loop algorithm is executed by a system comprising a processor (which can be within the neural stimulator). The closed loop algorithm includes monitoring physiological data (e.g., EMG data) recorded by a sensor implanted adjacent to an anterior lingual muscle; identifying a trigger within the physiological data, wherein the trigger is identified as a biomarker for a condition related to sleep (e.g., inspiration); and applying a rule-based classification (which can learn) to the trigger to determine whether one or more parameters of a stimulation should be altered based on the biomarker.