Disclosed herein are systems and methods of analyzing 3D structure of a portion of the CNS. An analytics module may be used to calculate one or more metrics the describe changes in the 3D structure of a CNS structure over time. The one or more metrics may be used to identify patterns of structural change prior to progressive symptom development. Healthcare providers may use the one or more metrics and or patterns of structural change to diagnose neurological conditions, track the progress of neurological conditions in the patient, and determine the patient's risk of progressive disease development. The 3D structure analytics techniques described herein may also be used to develop treatments and create a care delivery that is individualized for each patient.

Systems and methods for managing brain injury or brain malfunction involve receiving symptoms, assessments, social determinants of health, and substrates for evaluation, correlating that data to identify triggers, boosts, and changes in the patient, and notifying the patient or her caregiver of those triggers, boosts, and changes, in some cases via a dashboard display. Triggers cause changes for the worse for the patient, while boosts cause changes for the better. Certain instances marshal enormous amounts of evidence never correlated before in the recovery from trauma to the brain.

This document discusses a medical system for coupling to one or more implantable electrodes. The medical system includes a sensing circuit, memory, and processing circuitry. The sensing circuit is configured to sense one or more neural signal representative of neural activity of a subject when connected to an implantable electrode of the one or more implantable electrodes, and the memory is to store a reference signal that is representative of a neural response associated with a state of arousal at or near an anatomical location of the implantable electrode. The processing circuitry is configured to compare the one or more sensed neural signals to the reference signal, and to determine a depth of anesthesia of the subject according to the comparison of the one or more sensed neural signals and the reference signal.

Apparatus for the non-invasive in-vivo determination of changes in tissue, e.g. the myelination, of the optic nerve (ON) in a biological subject, said apparatus comprising: a laser source for generating an excitation laser beam; an optical system including a fundus camera operatively associated with the laser source for use in obtaining a fundus image for illuminating the optic nerve (ON) of a subject with the excitation laser beam; a detector (13) operatively associated with the optical system and configured to detect a Raman spectrum from the optic nerve (ON) and/or surrounding cerebral spinal fluid; and a processor provided with a computer program for comparing the detected Raman spectrum to at least one reference spectrum. The reference spectrum may correspond to the myelination of the optic nerve in a normal, healthy subject, for determining the changes in the myelination of the optic nerve of the subject based on the detecting and comparing steps from the Raman spectrum.

The application describes treatment of hepatic encephalopathy using gastrointestinal specific antibiotics. One example of a gastrointestinal specific antibiotic is rifaximin. The instant application also provides methods for determining if a subject has a neurological condition or hepatic encephalopathy by determining the critical flicker frequency and/or the venous ammonia level of the subject at two or more time points. The invention further provides methods for treating these subjects.

Provided herein are systems, methods, and computer program products for use in detecting and responding to patient neuromorbidity. The method includes receiving patient cohort data from an electronic health record system and identifying features of the patient cohort data using a feature selection evaluating parameter. The method also includes training, using the features, a patient classification model configured to classify patients according to neuromorbidity risk. The method further includes receiving a patient dataset associated with a patient and generating, by inputting the patient dataset into the patient classification model, a patient classification of the patient comprising a probability of the patient developing a neuromorbidity over a time period. The method further includes, in response to the probability of the patient developing a neuromorbidity satisfying a predetermined threshold, transmitting an alert to a computing device associated with a physician, a nurse, and/or an advanced practice provider of deteriorating brain health.

An exemplary system includes a photodetector configured to generate a plurality of photodetector output pulses over time as a plurality of light pulses are applied to and scattered by a target, a TPSF generation circuit configured to generate, based on the photodetector output pulses, a TPSF representative of a light pulse response of the target, and a control circuit configured to direct the TPSF generation circuit to selectively operate in different resolution modes.

A wearable apparatus for display glasses is provided. According to certain embodiments, the apparatus includes a display configured to provide a display of information that includes at least two options for selection. The apparatus further includes an electromyograph device and a processor. The electromyograph device is configured to track muscle activity of a wearer of the display glasses. The processor is configured to determine a plurality of events based on the muscle activity. The plurality of events are associated with at least one of types of the muscle activity, occurring numbers of the types of the muscle activity, or occurring time of the types of the muscle activity. One of the at least two options is identified based on the plurality of events.

A mouth guard senses impact forces and determines if the forces exceed an impact threshold. If so, the mouth guard notifies the user of the risk for injury by haptic feedback, vibratory feedback, and/or audible feedback. The mouth guard system may also remotely communicate the status of risk and the potential injury. The mouth guard uses a local memory device to store impact thresholds based on personal biometric information obtained from the user and compares the sensed forces relative to those threshold values. The mouth guard and its electrical components on the printed circuit board are custom manufactured for the user such that the mouth guard provides a comfortable and reliable fit, while ensuring exceptional performance.

A method and system are described for, based upon a plurality of previously-acquired directional LFP signals measured in a plurality of different directions at a directional sensor lead located in a predetermined region of a patient's brain, determining optimised patient-specific programming parameters for programming a directional stimulation lead with parameters for stimulating the said region. The method comprises a first step of determining, over at least one predetermined frequency range, a power-frequency variation curve of each of the directional LFP signals, a second step of identifying frequency peaks in the power-frequency variation curves, a third step of detecting one of the identified frequency peaks at which a maximum difference in signal power between the directional LFP signals occurs, and a fourth step of calculating a plurality of directional stimulation weighting factors on the basis of the relative signal powers of the directional LFP signals at the detected frequency peak.