A dynamic neuropsychological assessment tool according to an embodiment utilizes speech recognition, speech synthesis and machine learning to assess whether a patient is at risk for a neurological disorder, such as Alzheimer's disease. The dynamic neuropsychological assessment tool enables self-administration by a patient. The tool performs pre-test validation operations on the test environment, test equipment, and the patient's capability for performing the test at that time. The tool also enables dynamic modification of a questionnaire presented to the patient while the patient completes the questionnaire. Also provides the dynamic modification of which tests to present the patient with. The modification can be rule based or modified by a provider. The dynamic neuropsychological assessment tool enables providers and administrators to modify and improve tests and validate them using machine learning based on previously completed assessments and results.

Provided herein are systems and methods for simultaneous imaging and stimulation using a microscope system. The microscope system can have a relatively small size compared to an average microscope system. The microscope can comprise in part an imaging light source and a stimulation light source. Light from the imaging light source and the stimulation light source can be spectrally separated to reduce cross talk between the stimulation light and the imaging light.

Systems and methods for mapping neuronal circuitry in accordance with embodiments of the invention are illustrated. One embodiment includes a method for generating a neuronal shape graph, including obtaining functional brain imaging data from an imaging device, where the functional brain imaging data includes a time-series of voxels describing neuronal activation over time in a patient's brain, lowering the dimensionality of the functional brain imaging data to a set of points, where each point represents the brain state at a particular time in the timeseries, binning the points into a plurality of bins, clustering the binned points, and generating a shape graph from the clustered points, where nodes in the shape graph represent a brain state and edges between the nodes represent transitions between brain states.

Techniques (methods and devices) for neural stimulation through audio with dynamic modulation characteristics are disclosed. The techniques include receiving a mapping of sensor-input values and modulation-characteristic values, wherein each sensor-input value corresponds to a respective modulation-characteristic value; receiving an audio element from an audio source, wherein the audio element comprises at least one audio parameter; identifying an audio-parameter value of the audio parameter; receiving a sensor-input value from a sensor; determining a sensor-input value based on the sensor-input value; selecting from the mapping of sensor-input values and modulation-characteristic values, a modulation-characteristic value that corresponds to the sensor-input value; generating an audio output based on the audio-parameter value and the modulation-characteristic value; and playing the audio output.

Some systems, devices and methods detailed herein provide a system for use in determining metrics of a subject. The system can provide, as an output, a function-metric value determined based on a defined relationship between physiological measures and a chronological age.

Systems and methods are presented for monitoring brain pulsatility. A change in volume of the brain is estimated based at least in part on an output of a non-contact, surface measuring sensor (e.g., a distance sensor or a camera). A metric indicative of brain pulsatility is then calculated based at least in part on a ratio of the estimated change in volume of the brain relative to a change in arterial blood pressure.

A group association system attempts to identify if an individual is “gifted” in any particular area. A group association system is based on brainwave response to stimulation is disclosed. The system including a brainwave stimuli device which provides stimuli to groups of highly skilled, general skilled, and a general population groups, as test stimuli for determination of group association. A brainwave collection device collects brainwaves of individuals, with the brainwave collection device storing collected brainwaves in a brainwave database. A brainwave processing device analyzes brainwaves received from the brainwave database. A brainwave analysis device uses analyst screens, artificial intelligence or machine learning to analyze the brainwaves create at least one signature development module for determination of similar brainwaves related to different individuals' responses to the same stimuli. In addition, at least one signature development module determines which individuals have the same or similar brainwave responses to the same test stimuli.

Provided is a stress measurement system and a stress measurement method that are capable of measuring the stress level of a subject without taking time and effort. A stress measurement system 1 includes a sensor unit 31 that detects a plurality of detection target gases based on substances contained in a specimen of a subject and outputs a plurality of detection values corresponding to respective detection results of the plurality of detection target gases, and a control unit that determines a stress level of the subject, based on a combination of the plurality of detection values. In addition, the substances contained in the specimen may include a substance serving as a raw material for a brain neurotransmitter.

It is shown that ventral hippocampal kindling results in functional reorganization of the ventral hippocampal excitatory circuits. Most pronounced is the connectivity to the medial prefrontal cortex, with increased volume of activation on fMRI and increased amplitude of activation on electrophysiology. There is evidence of increased anxiety following kindling Methods are provided for simultaneous LFP-fMRI to image single seizures Imaging the spatiotemporal dynamics of individual seizures enables characterization of propagation patterns of focal and secondary-generalized seizures, that provide for targeted intervention.

An information processing method that is executed by a computer, the method comprising: acquiring motion information detected by a motion detection device, the motion detection device configured to detect a motion of a subject; storing the acquired motion information; deriving reference motion information on a left half of a body of the subject and reference motion information on a right half of the body of the subject based on the stored motion information in a predetermined period; and determining whether an abnormal state in which there is a possibility of cerebral infarction in the subject is present based on the derived reference motion information and motion information on the left half of the body of the subject and motion information on the right half of the body of the subject at a detection time subsequent to the predetermined period.