Example systems, methods, and apparatus, including cognitive platforms, are provided for computing performance metrics of an individual based at least in part on user interaction(s) with computerized tasks and/or interference and at least one physiological measure of the individual, where the performance metric provides an indication of the cognitive abilities of the individual. The apparatus can be coupled to at least one physiological component to perform the physiological measurement of the individual. The apparatus also can be configured to adapt the tasks and/or interferences to enhance the individual's cognitive abilities.

This invention is related to artificial intelligent (AI) system with biodegradable endovascular nanoscale-structured flowmeter layer for monitoring cerebral blood flow during mental performance, blood flow through in-stent re-stenosis (ISR) and thromboembolism. The invention is based on blood flow inducing changes in magnetization of nanoscale microwave ferrites. These changes in magnetization, then interact with the microwave in a frequency-dependent manner using a microprocessor for processing and transmission via cellular phone network to human-machine interface for control of computers, machines or weapon systems. It detects reduction of blood flow through ISR and microembolic signals due to thromboembolism of the vessel much earlier before severe symptoms develop.

The invention provides methods of identifying schizophrenia patients at risk for relapse. The invention also provides methods of early detection of schizophrenic relapse. The disclosed methods use monitoring of a subset of symptoms and/or one or more biomarkers. The symptom severity can be assessed using the Positive and Negative Syndrome Scale (PANSS) parameters. The methods of the invention can be used to provide early intervention to decrease or prevent relapse in schizophrenia patients.

A cognitive function evaluation device includes: an obtainment unit configured to obtain speech data indicating speech uttered by a subject; a calculation unit configured to extract a plurality of vowels from the speech data obtained by the obtainment unit, and calculate, for each of the plurality of vowels, a feature value based on a frequency and an amplitude of at least one formant obtained from a spectrum of the vowel; an evaluation unit configured to evaluate a cognitive function of the subject from the feature value calculated by the calculation unit; and an output unit configured to output an evaluation result of the evaluation unit.

The present disclosure relates to a method and a system for imaging a biological tissue. A monochromatic image of the biological tissue is obtained. A texture analysis of the biological tissue is performed using spatial information of the monochromatic image to identity features of the biological tissue. A texture image is generated based on the features of the biological tissue. The biological tissue of the subject is classified as normal or abnormal at least in part based on a comparison between first order statistics of the texture image and predetermined values.

Systems and methods for controlling permissions for an individual. The techniques can include presenting neurophysiological stimuli to the individual, measuring neurophysiological response by the individual to the neurophysiological stimuli, determining whether the individual is exhibiting cognitive impairment based on whether the measured neurophysiological response differs from a reference response by a threshold, and controlling a permission according to criteria and the determination as to whether the individual is exhibiting cognitive impairment, wherein the permission allows the individual to at least one of access a resource or perform an action. The systems and methods described herein address COVID-19 related issues by screening for detection of findings compatible with COVID-19, providing a mechanism to both verify the identity of the individual and to link SARS-CoV-2 laboratory test results to that individual, and controlling permission to access resources or perform actions to prevent transmission of COVID-19.

The present systems and methods provide a mechanism to assess viewer behavior, features of stimuli, and the interaction between viewer behavior and stimuli. The systems and methods described herein for quantifying blink response and blink inhibition provide moment-by-moments measurements of viewer engagement by measuring what is or is not engaging enough to warrant viewers' inhibition of blinking. The present disclosure describes measures of visual scanning, eye movements, blink data, and blink timing data to derive a measure of how engaged a person is with what he or she is looking at. Blink-related data as a measure of viewer engagement provides a mechanism for determining the most engaging spatial and temporal aspects of a stimulus.

The clinical diagnosis and monitoring of patients with neurological conditions may be established through behavioral examinations, assessments or evaluations, or neuroimaging scans. The system and methods described herein diagnose the cognitive function of a subject by measuring the neural response of the subject to one or more naturalistic sensory stimuli. The system measures the subject's sensory evoked response to the naturalistic sensory stimuli by computing the statistical comparison between the subject's neural signal and either the raw stimulus signal or the stimulus' signal envelope. A latency value, or other signal feature, is extracted from the subject's sensory evoked response and a diagnosis of the subject's cognitive function is then made based on the identified latency value or other extracted signal feature.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a mental health prediction for a patient using a centrality ranking of the brain of the patient. One of the methods includes obtaining brain data of a patient, wherein the brain data comprises, for each of a plurality of pairs of parcellations formed from a set of parcellations where each pair comprises a first parcellation and a second parcellation, data characterizing a number of tracts connecting the first parcellation and the second parcellation; determining a network graph from the brain data; generating, for each of a plurality of nodes in the network graph, a measure of centrality of the node; determining a centrality ranking of the plurality of nodes of the network graph according to the respective measures of centrality; generating a mental health prediction for the patient using the determined centrality ranking.

The present disclosure relates generally to medical imaging and, more particularly, it relates to methods and systems for performing processing of magnetic resonance (MR) imaging of the brain which may be useful in the diagnosis of cognitive disorders. More specifically, the invention includes methods for processing cortical diffusion data from a region of a subject's brain, comprising determining values for the Axial Columnar Refraction (ACR) using values for AngleR and Axial Diffusivity.