A computer-implemented method and system includes accessing neurophysiological and neurovascular data recorded during sleep. A function mapping is executed from said neurophysiological and neurovascular data to a target that is one of a glymphatic flow marker, a molecular analysis marker of neurodegeneration, or a neuroimaging marker of neurodegeneration. A target prediction model is output based on the function mapping. The target prediction model can receive new neurophysiological and neurovascular data and output a predicted marker of neurodegeneration.

A method for stroke evaluation, including: recording electrical signals from a first anterior location and from a second anterior location on a subject head, wherein each of the first anterior location and the second anterior location are above different brain hemispheres; estimating synchronization of brain activity based on a correlation between the recorded electrical signals; evaluating stroke or at least one parameter of stroke in the subject based on the estimated synchronization.

The present disclosure provides system and method for monitoring of at least one physiological parameter of a person engaged in a physical activity, for example, an impact received by a player engaged in a contact sport such as football. The system includes a monitoring unit that actively monitors the physiological parameter of the person, wherein the monitoring unit generates an alert event when the monitored physiological parameter exceeds a threshold of the parameter. The monitoring unit determines whether the parameter exceeds an over-exposure threshold, wherein said threshold is based upon both a single incidence or cumulative incidences.

A system includes an assembly, a pinhole array, and a processor. The assembly includes a K by L photodetector array comprising a plurality of photodetectors and configured to detect light that exits a body at a second location after the light enters the body at a first location different than the second location and scatters within the body, and output a plurality of electronic signals representative of the detected light as a function of time. The pinhole array has a K by L array of pinholes configured to be aligned with the photodetectors and is configured to allow a certain amount of light to be incident upon each of the photodetectors. The processor is configured to generate a correlation map that includes a plurality of spatiotemporal correlation measure values corresponding to the light detected by the photodetector array.

Provided is a method for mapping a neural area involved in speech processing, including applying a plurality of recording electrodes to a surface of a cortex of a human subject, presenting a plurality of auditory stimuli to the subject wherein some of the plurality of stimuli are speech sounds and others of the plurality of auditory stimuli are non-speech sounds, recording brain activity during the presenting of the plurality of auditory stimuli, and identifying one or more brain areas wherein activity changes more after presentation of speech sounds than it does after presentation of non-speech sounds, wherein the human subject does not speak during the presenting and the recording. Also provided is a method for mapping a neural area involved in speech production wherein the human subject does not speak during presenting speech stimuli and recording neural activity.

An improved system for assessing cognitive function is described that uses tracked electrical activity of the brain of the individuals in response to a specific sequence of stimuli in generating data sets, which, for example, can be encapsulated as a data structure. The data sets can include tracked specific response types, at different times and amplitudes, including, but not limited to, event related potential signal components. Brainwave features including, event related potentials, are tracked in relation to both pre-attentive brain responses and consciously controlled attention responses.

The present disclosure includes methods, apparatuses, and systems for three-dimensional phenotyping and physiologic characterization of brain lesions and tissue encompassing one or more enlarged boundaries surrounding the brain lesion to study the metabolic and physiologic profiles from tissue within and around lesions and their impacts on lesion shape and surface texture. The non-invasive biomarker blood-oxygen their impacts on lesion shape and surface texture. The non-invasive biomarker blood-oxygen-level-dependent (BOLD) slope was used to metabolically characterize lesions. Metabolically active lesions with more intact tissue and myelin architecture have more symmetrical shapes and more complex surface textures compared to metabolically inactive lesions with less intact tissue and myelin architecture. The association of lesions' shapes and surface features with their metabolic signatures aid in the translation of MRI data to clinical management by providing information related to metabolic activity, lesion age, and risk for disease reactivation and self-repair.

The present disclosure relates to an apparatus, system and method for inserting one or more probes into a subjects body for one or more purposes of acquiring physiological data or delivering a treatment into the subjects body.

A seizure detection system including one or more circuits configured to receive an electroencephalogram (EEG) signal generated based on electrical brain activity of a patient. The one or more circuits are configured to identify candidate seizures with a statistical analysis that identifies the candidate seizures based on changes in non-linear features of the EEG signal, determine to switch from identifying the candidate seizures with the statistical analysis to an artificial intelligence model, and switch from identifying the candidate seizures with the statistical analysis to identifying the candidate seizures based on the artificial intelligence model with the EEG signal.

A physiological state determination device determines a predetermined physiological state of a subject. The physiological state determination device includes a brain function activation information detection unit, a face change information acquisition unit, and a physiological state determination unit. The brain function activation information detection unit detects brain function activation information corresponding to a physiological state. The face change information acquisition unit acquires face change information indicating a time-series change in face data of a subject. The physiological state determination unit determines the predetermined physiological state of the subject based on the brain function activation information and the face change information.