A method of detecting injury to the brain such as stroke, concussion and cognitive dysfunction using a contrast agent and light source. The blood ocular barrier is disrupted when said injury occurs, allowing the entry of contrast agent into the aqueous and vitreous humor. An exemplary method comprises injecting a contrast agent into a peripheral location and then testing for leakage of contrast agent into the eye cavity by observing for light reflection, when a beam of light incidents on the contrast agent in the eye.

An information processing apparatus includes a processor configured to acquire biological information of plural users determined to be within a predetermined area and operate an apparatus based on the biological information of the plural users.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for identifying one or more regions of a brain of a biological organism that are predicted to be functionally-specialized for performing a task. In one aspect, a method comprises: obtaining data defining a synaptic connectivity graph representing synaptic connectivity between neurons in the brain of the biological organism; identifying a plurality of sub-graphs of the synaptic connectivity graph; determining, for each sub-graph of the plurality of sub-graphs, a performance measure characterizing a performance of a neural network having a neural network architecture that is specified by the sub-graph in accomplishing the task; and determining, based on the performance measures, that one or more sub-graphs of the plurality of sub-graphs correspond to regions of the brain of the biological organism that are predicted to be functionally-specialized for performing the task.

The disclosed system receives various physiological as well as physical information concerning a patient, and operational data from a ventilation device and medication delivery device, and provides the physiological and physical information, together with the operational data, to a neural network configured to analyze the information and data. The system receives, from the neural network, an assessment classification of the patient corresponding to at least one of a pain assessment, a sepsis assessment, and a delirium assessment of the patient based on providing to the neural network the determined physiological state of the patient, the determined physical state of the patient, the determined operational mode of the ventilator, the medication delivery information, and the received diagnostic information for the patient, and adjusts, based on the assessment classification, a ventilation parameter that influences the operational mode of a ventilator providing ventilation to the patient.

There is provided a method of providing information about prognosis after cardiac arrest. The method includes the steps of: calculating biological information based on a signal relating to a hemoglobin concentration measured from a cerebral region of a subject to be measured; and providing the information about the prognosis after cardiac arrest of the subject with reference to the calculated biological information and a biomarker relating to the prognosis after cardiac arrest measured from a blood of the subject.

An aspect of the present invention is a loss-of-consciousness estimation apparatus including: an out-of-range data determination unit configured to execute out-of-range data determination processing for, using an amount correlated with a cerebral blood flow rate of an estimation target as a cerebral blood flow correlation amount, a time series of the cerebral blood flow correlation amount as a cerebral blood flow correlation amount time series, and a position in a time axis direction of data of the cerebral blood flow correlation amount time series as a time position, determining whether or not the cerebral blood flow correlation amount indicated by each piece of the data is out of range of a threshold region, which is a range corresponding to the time position of each piece of the data, based on the cerebral blood flow correlation amount time series; and a ventricular state estimation unit configured to estimate a ventricular state of the estimation target based on the determination result of the out-of-range data determination unit, in which, before the execution of the out-of-range data determination processing, the out-of-range data determination unit executes processing for determining the threshold region of each time position, which is processing for determining the threshold region that is to be determined according to a distribution of the data in a first period, which is a period of a first length including the time position at which the threshold region is determined.

Methods of categorisation of schizophrenia sufferers into subtypes based on changes in brain morphology, together with associated blood biomarkers are provided. The methods allow for more accurate treatment and diagnosis of schizophrenia.

A method for selective activation of central thalamus fibers in a subject is disclosed. The method involves providing one or more electrodes each with one or more contacts. The one or more electrodes are positioned in the subject’s central thalamus fibers. An electrical stimulus is applied to the positioned one or more electrodes to selectively activate the central thalamus fibers of the subject. The positioning and applying are carried out to maximize central lateral nucleus and medial dorsal tegmental tract fiber pathway activation in the subject and to minimize central median parafascicularis fiber pathway activation in the subject. Methods, devices, and computer readable media for surgical planning involving selective activation of central thalamus fibers in a subject are also disclosed.

In some examples, a method includes receiving a signal indicative of a blood pressure of a patient and identifying at least one first portion of the signal comprising a first characteristic of the signal exceeding a first threshold. The method also includes identifying at least one first portion of the signal comprising a second characteristic of the signal exceeding a second threshold, the first characteristic being different than the second characteristic. The method further includes determining a filtered signal indicative of the blood pressure of the patient by excluding the at least one first portion and the at least one second portion from the signal. The method includes determining a set of mean arterial pressure values based on the filtered signal and determining an autoregulation status of the patient based on the set of mean arterial pressure values.

A computer-implemented process for electromagnetic imaging, the process including the steps of: accessing scattering data representing at least a two-dimensional array of measurements of electromagnetic wave scattering by internal features of an object, wherein each said measurement represents scattering of electromagnetic waves emitted by a corresponding antenna of an array of antennas disposed about the object as measured by a corresponding antenna of the array of antennas; and processing the scattering data to generate image data representing a spatial distribution of internal features of the object, wherein the generation of the image data does not involve tomographic reconstruction but is in accordance with a weighted mapping to directly map the measurements of electromagnetic wave scattering to a corresponding spatial distribution of electromagnetic wave scattering by the internal features of the object that corresponds to the physical shape of the object to enable the detection, localization, size estimation, shape estimation and classification of one or more features of interest of the object.