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.

Provided are a pulse compressor and a two-photon excited fluorescence microscope. The microscope includes a light source which generates a laser beam having a pulse, a pulse compressor which compresses the pulse of the laser beam, an objective lens which provides the laser beam to a specimen, and image sensors which receive the laser beam and obtain images of the specimen. The pulse compressor may include a grating plate, a corner cube provided on one side of the grating plate, and a retroreflector provided on the other side of the grating plate.

A system and/or method for determining human health uses a head-worn apparatus that comprises a head orientation sensor, an eye imaging device, and an electronic circuit. The head orientation sensor is configured for generating an electrical head orientation signal in response to head pitch or head yaw. The eye imaging device is configured for observing an eye feature from the sclera, cornea, iris, or pupil, and generates an eye electrical signal in response to eye position, horizontal eye movement, vertical eye movement, pupil size or eyeblinks at a plurality of times. The electronic circuit is configured for generating an ocular parameter measurement such as saccades, vestibulo-ocular reflex, vestibulo-ocular reflex cancellation, vergence, smooth pursuit, nystagmus, dynamic visual acuity, pupil size, and/or eyeblinks from the head and eye electrical signals. The ocular parameter measurement can be used to determine normal human health, a neurologic disorder, a biochemical health impairment, or a physiologic health impairment.

Arrangements and methods are provided for obtaining information associated with an anatomical sample. For example, at least one first electro-magnetic radiation can be provided to the anatomical sample so as to generate at least one acoustic wave in the anatomical sample. At least one second electro-magnetic radiation can be produced based on the acoustic wave. At least one portion of at least one second electro-magnetic radiation can be provided so as to determine information associated with at least one portion of the anatomical sample. In addition, the information based on data associated with the second electro-magnetic radiation can be analyzed. The first electro-magnetic radiation may include at least one first magnitude and at least one first frequency. The second electro-magnetic radiation can include at least one second magnitude and at least one second frequency. The data may relate to a first difference between the first and second magnitudes and/or a second difference between the first and second frequencies. The second difference may be approximately between −100 GHz and 100 GHz, excluding zero.

The application generally relates to olfaction as a biomarker, more particularly as a prognostic biomarker or biological predictor, of neurosensory disease or disorder and/or of neurocognitive disease or disorder, in subjects whose nervous system has been infected by an infectious agent, such as by a neurotropic virus, bacterium, protozoan parasite, fungus or prion, more particularly by a neurotropic virus.

A system and method for testing a subject for cognitive or oculomotor impairment includes presenting the subject with a display of an object, while presenting the display to the subject, and the subject's head moves horizontally or vertically within a predefined range of movement rates, measuring the subject's right eye positions and/or the subject's left eye positions. The system generates a metric by statistical analysis of the measurements of subject's right eye positions or the subject's left eye positions, and generates a report based on the metric. In some embodiments, the system is configured to train the subject to improve their performance, and thereby remediate or reduce cognitive and oculomotor impairment.

Disclosed is a VR (Virtual Reality) device for diagnosis of nerve disorder, system and method thereof, wherein the device comprises: a display part providing a user with a VR environment in response to an image; and a user response receiver receiving a user response relative to the image, and wherein the image includes an introduction video included with two or more characters, and a question video image provided subsequent to the introduction video to include an inquiry related to the characters, whereby a user's linguistic competence, visual ability and associative ability can be comprehensively evaluated, and more accurately grasp a degree of user's nerve disorder can be accurately grasped without being influenced by a user's academic background and age.

A method for selecting features for the detection of a given brain condition, the method using a feature selector able to discriminate between at least two brain conditions, and using a plurality of electroencephalogram signals, relative to several brain electrodes and filtered on at least one frequency, the method comprising the following steps: e) for each signal, computing at least one value quantifying brain activity for each brain electrode; f) for each signal, performing a thresholding of said computed quantifying values according to at least one threshold percentage, thus forming at least one group of thresholded values corresponding to each signal; g) using said feature selector to rank said thresholded values; and h) based on this ranking, selecting at least one feature vector comprising at least one electrode, and one frequency and/or one threshold percentage, and corresponding to the best ranked thresholded values for the detection of said given brain condition.

This discloses enables various technologies for audio-visual entrainment with breathing cues for managing heart rate variability.

Provided are a method and system for individualized prediction of mental illness on the basis of brain function map monkey-human cross-species migration, and a method for determining a mental illness prediction model. The method for determining a mental illness prediction model comprises the steps: (a) data acquisition; (b) preprocessing; (c) brain region selection; (d) feature construction; (e) feature screening; and (f) modeling prediction. The method and system are non-invasive and have high accuracy, high sensitivity, good specificity, and are convenient to popularize.