A neuromodulation system for treatment of physiological disorders. The system includes one or more stimulators for stimulating one or more cranial nerves; one or more detectors configured for detecting a predetermined physiological state; and a control unit that controls nerve stimulation by the one or more stimulators so that it is synchronized with the at least one predetermined physiological state detected by the one or more detectors. A method of neuromodulating a patient for treatment of physiological disorder. The method includes the steps of detecting a predetermined physiological state and applying stimulation to one of the cranial nerves during the predetermined physiological state by one or more stimulators of a neuromodulation system.

Analysis of keystroke dynamics performed by an individual can be used for assessment and monitoring of the individual's motor function. Keystroke events related to a user pressing one or more keys on a keyboard or regions on a touch screen may be analyzed to identify a plurality of distributions of keystroke event intervals. The plurality of distributions may be analyzed to identify one or more features indicative of variation among the distributions and indicative of the user's motor function. Monitoring of a user's motor function may include comparing a value for a feature for one plurality of distribution to a second value for the same feature for another plurality of distributions.

A neuromodulator accurately measuresin real time and over a range of frequenciesthe instantaneous phase and amplitude of a natural signal. For example, the natural signal may be an electrical signal produced by neural tissue, or a motion such as a muscle tremor. The neuromodulator generates signals that are precisely timed relative to the phase of the natural signal. For example, the neuromodulator may generate an exogenous signal that is phase-locked with the natural signal. Or, for example, the neuromodulator may generate an exogenous signal that comprises short bursts which occur only during a narrow phase range of each period of an oscillating natural signal. The neuromodulator corrects distortions due to Gibbs phenomenon. In some cases, the neuromodulator does so by applying a causal filter to a discrete Fourier transform in the frequency domain, prior to taking an inverse discrete Fourier transform.

Provided herein is the design and synthesis of novel molecular rotor fluorophores useful for detection of amyloid or amyloid like proteins. The fluorophores are designed to exhibit enhanced fluorescence emission upon associating with amyloid or amyloid like proteins as compared to unbound compound. Also disclosed herein are methods for treating diseases associated with amyloid or amyloid like proteins.

A method for automatically assessing information processing speed in a test subject is disclosed. In the inventive method, a first qualimetric activity parameter for sensorial transmission, cognition and motoric output activity is determined and a second qualimetric activity parameter for sensorial transmission and motoric output activity is determined. A third qualimetric activity parameter for cognition is determined by comparing the first and the second qualimetric activity parameters to each other, and the information processing speed in the test subject is assessed based on the first, second and third qualimetric activity parameters. The information processing speed can be determined by comparing the determined qualimetric activity parameters to a reference and the subject's cognitive impairment can then be determined from the processing speed. The inventive method can be computer implemented. A mobile device or system for carrying out the disclosed methods is also disclosed.

Described here is a deep brain stimulation (DBS) approach that targets several relevant nodes within brain circuitry, while monitoring multiple symptoms for efficacy. This approach to multi-symptom monitoring and stimulation therapy may be used as an extra stimulation setting in extant DBS devices, particularly those equipped for both stimulation and sensing. The therapeutic efficacy of DBS devices is extended by optimizing them for multiple symptoms (such as sleep disturbance in addition to movement disorders), thus increasing quality of life for patients.

Acoustoelectric imaging (AEI) offers a novel, non-invasive method for monitoring current densities produced by a deep brain stimulator (DB S) or other medical device. By providing visual feedback of the electrical current patterns produced by the device, AEI may help guide placement of an implant during surgery, monitor device performance during routine checkups and over time, and perform accurate calibrations (in vivo or in situ).

The invention provides dosage regimes for treatment of synucleinopathies. In one regime, a subject receives 3000-5000 mg of an antibody intravenously every 3-5 weeks. In another regime, a subject receives 1300-1700 mg of an antibody intravenously every 3-5 weeks.

One aspect provides a method of treating a swallowing, mastication, or speech articulation disorder associated with a CNS lesion, PNS lesion, or lesioned brain region in a patient. The method includes: measuring a magnitude and a spatial extent of activation in a plurality of brain regions of the patient during movement of the tongue by functional magnetic resonance imaging (fMRI); generating a map of an individualized network of brain regions that control tongue movement; identifying at least one intact brain region functionally associated with the lesioned brain region based on the map of the individualized network of brain regions; tracking at least one tongue movement of the patient; providing neuronal feedback to the patient based on a level of activation of the at least one intact brain region identified and the at least one tongue movement; and instructing the patient to change at least one motor behavior of the tongue.

System, method and media for quantifying bulbar function of a subject. At a high level, embodiments of the invention measure and quantify bulbar function of a test subject based on video data, audio data, or other sensor data of a subject performing a test of bulbar function, such as speech, swallowing, and orofacial movements. This sensor data is then analyzed to identify key events such as syllable enunciations. Based on one or more characteristics of these key events (such as, for example, their rate, count, assessed accuracy, or trends over time), the bulbar function of the subject can accurately, reliably, and objectively be quantified.