A cognitive function evaluation device includes an acquirer that acquires speech data that indicates speech uttered by an evaluatee in response to a task given to the evaluatee; an evaluator that evaluates a cognitive function of the evaluatee by performing a first evaluation based on a proportion of speaking time of the evaluatee in a predetermined period in the speech data acquired by the acquirer and a second evaluation based on a fundamental frequency in the speech data acquired by the acquirer; and an outputter that outputs an evaluation result obtained from the evaluation performed by the evaluator.

A system and method for evaluation, detection, conditioning, and treatment of neurological functioning and conditions which uses data obtained while a person is engaged in simultaneously in a range of primary physical tasks combined with defined types of associative activity, such as listening, reading, speaking, mathematics, logic puzzles, navigation of a virtual environment, recall of past stimuli, etc. The data from the physical and associative activities are combined to generate a composite functioning score visualization indicating the relative functioning of areas aspects of neurological functioning; including those in which deficiencies may be present, which are early indicators of possible neurological conditions. Through algorithmic recommendations combined with expert and user input, a conditioning regimen targeting neurological aspects of interest paired with periodic testing allows the user to track their progress in these areas over time.

The present invention relates to methods of assessing or obtaining an indication of the presence of a cognitive disorder by analysing microstructural changes in regions of the brain. The invention particularly relates to methods of assessing or obtaining an indication of the presence of types of dementia, for example Alzheimer's disease, by analysing changes in minicolumns in regions or layers of the cortex of the brain or of the whole brain.

A cognitive function evaluation device includes: an obtainment unit configured to obtain, as gait data, at least one of first data and second data, the first data indicating a sway amount of a body of a subject during walking in a first walking section from start of walking of the subject to a predetermined number of steps, and the second data indicating a sway amount of the body of the subject during walking in a second walking section in a double task state in which the subject is walking while doing a given assignment, the second walking section being after the first walking section; a calculation unit configured to calculate a feature value based on the gait data; an evaluation unit configured to evaluate a cognitive function of the subject, based on the feature value; and an output unit configured to output a result of evaluation by the evaluation unit.

An apparatus for evaluating cognitive function of a patient. The apparatus has a physiological monitor adapted to output physiological measurements of a given bodily function of the patient, wherein the bodily function is regulated by the autonomic nervous system of the patient; a cognitive exercise evaluator adapted to obtain performance information of the patient when carrying out a cognitive exercise with a given difficulty; a general-purpose processor; and computer-readable memory adapted to store program code for evaluating the cognitive function of the patient, the program code comprising instructions to receive the physiological measurements and the performance information, and provide an evaluation of the cognitive function of the patient.

Disclosed herein are systems and methods for the detection of alterations in glucose metabolism in a subject. The disclosed methods and systems provide, in certain embodiments, administering a first eye test to the subject when the subject is in a normal state, obtaining a first set of one or more images of the first eye test of the subject, administering a second eye test to the subject and obtaining a second set of one or more images of the second eye test of the subject. The methods further provide for analyzing one or more differences identified between the first set of one or more images and the second set of one or more images.

Embodiments of the present invention may provide techniques that provide improved detection of catecholamines, such as dopamine. For example, in an embodiment, a method for catecholamine sensing may comprise outputting a signal responsive to a level of at least one catecholamine in neural tissue from a catecholamine sensor, analyzing the signal responsive to a catecholamine level in the neural tissue using circuitry connected to the catecholamine sensor, the circuitry comprising at least one computing device comprising a processor, memory accessible by the processor, and program instructions stored in the memory and executable by the processor, generating, using the circuitry, data representing the catecholamine level in the neural tissue, and transmitting the generated data representing the catecholamine level in the neural tissue using communication circuitry.

A computer-implemented method for diagnosing a neurological or medical condition of a patient is described herein. In one embodiment, the computer-implemented method may include presenting a set of values via a graphical user interface or an audio speaker, receiving at least a first response from the patient based on the presented set of values, determining at least one time lapse between presenting the set of values and receiving the at least first response, and identifying the neurological or medical condition of the patient based on the at least one time lapse.

The present disclosure relates to computing technologies for diagnosis and therapy of language-related disorders. Such technologies enable computer-generated diagnosis and computer-generated therapy delivered over a network to at least one computing device. The diagnosis and therapy are customized for each patient through a comprehensive analysis of the patient's production and reception errors, as obtained from the patient over the network, together with a set of correct responses at each phase of evaluation and therapy.

Systems and methods for detecting complex networks in MRI image data in accordance with embodiments of the invention are illustrated. One embodiment includes an image processing system, including a processor, a display device connected to the processor, an image capture device connected to the processor, and a memory connected to the processor, the memory containing an image processing application, wherein the image processing application directs the processor to obtain a time-series sequence of image data from the image capture device, identify complex networks within the time-series sequence of image data, and provide the identified complex networks using the display device.