Materials, systems, and assemblies for assessment of haptic perception impairments and motor control abnormalities.

A magnetic resonance diffusion tensor imaging method and corresponding device. The method includes acquiring omnidirectionally sampled diffusion weighted images of a plurality of training samples; performing diffusion tensor model fitting and undersampling for the omnidirectionally sampled diffusion weighted images of each training sample to obtain an omnidirectionally sampled diffusion tensor image and an undersampled diffusion weighted image; training a deep learning network, with the omnidirectionally sampled diffusion tensor images of the plurality of training samples as training targets and the undersampled diffusion weighted images as training data; acquiring undersampled diffusion weighted images of a target object; and inputting the undersampled diffusion weighted images of target objects into the trained deep learning network to obtain the predicted omnidirectionally sampled diffusion tensor images of the target objects. Also, a fiber tracking method and corresponding device.

A medical device with closed-loop responsive stimulation may include techniques to mitigate the impact on the therapy output of noise coupled into the medical device. A medical device according to this disclosure may determine the presence of noise and alter the closed loop policy to provide the necessary therapy to the patient and avoid prolonged under stimulation caused by the noise. The medical device may continue therapy while testing for noise. When the device determines the noise level no longer affects the output therapy, the device may return the closed loop policy to a no-noise mode of operation. The medical device may also include techniques to mitigate the impact of manual adjustment while the medical device is subject to noise or is responding to changes in the patient's physiological signals.

Isotropic generalized diffusion tensor imaging methods and apparatus are configured to obtain signal attenuations using selected sets of applied magnetic field gradient directions whose averages produce mean apparent diffusion constants (mADCs) over a wide range of b-values, associated with higher order diffusion tensors (HOT). These sets are selected based on analytical descriptions of isotropic HOTs and the associated averaged signal attenuations are combined to produce mADCs, or probability density functions of intravoxel mADC distributions. Estimates of biologically-specific rotation-invariant parameters for quantifying tissue water mobilities or other tissue characteristics can be obtained such as Traces of HOTs associated with diffusion and mean t-kurtosis.

A method of manufacturing a micro-molded electrode having multiple individually addressable sensors along a shaft can include forming a recess in a mold substrate, depositing a structural material therein, depositing a conductive material at specific locations, providing a coating, and removing the mold substrate. A micro-molded electrode having a base tapering to at least one shaft can include an electrode substrate, multiple individually addressable sensors, and a coating.

Systems, devices, and methods for using vagus nerve stimulation to treat demyelination disorders and/or disorder of the blood brain barrier are described. The vagus nerve stimulation therapy described herein is configured to reduce or prevent demyelination and/or promote remyelination to treat various disorders related to demyelination, such as multiple sclerosis. A low duty cycle stimulation protocol with a relatively short on-time and a relatively long off-time can be used.

A device and method for treating a variety of conditions, disorders or diseases with diaphragm/phrenic nerve stimulation is provided.

One embodiment provides a system controller circuitry for mitigating a neurophysiological disorder. The system controller circuitry includes an optimization module, a feedback control module, and a model update module. The optimization module is configured to predict a sequence of control inputs based, at least in part, on a fractional order model of a neurophysiological system. A duration of the predicted sequence of control inputs corresponds to a prediction horizon. The feedback control module is configured to provide at least a portion of the sequence of control inputs to the neurophysiological system based, at least in part, on a current state of the neurophysiological system. A duration of the at least a portion corresponds to a control horizon. The model update module is configured to update one or more of a model parameter and/or an objective function parameter at an update interval, based, at least in part, on a recent state of the neurophysiological system.

Embodiments can include a nerve mapping and monitoring system that can include a multi-polar stimulation unit, an electrical connector, an instrument having a grid array, where the grid array can comprise a plurality of electrodes, where each of the plurality of electrodes can be configured to be stimulated by the multi-polar stimulation unit, a recording element, where the recording element can be configured to detect a muscle response elicited by the grid array, and a computer, where the computer can be configured to monitor the muscle response elicited by the grid array such that neural structures can be identified and avoided.

A method of manufacturing a micro-molded electrode (160) having multiple individually addressable sensors (140) along a shaft (180) can include forming a recess in a mold substrate, depositing a structural material therein, depositing a conductive material at specific locations, providing a coating (190), and removing the mold substrate. A micro-molded electrode (160) having a base (170) tapering to at least one shaft (180) can include an electrode substrate, multiple individually addressable sensors (140), and a coating (190).