A method includes: acquiring body motion data related to body motions of a target person; generating, based on the body motion data, sleep state data related to a sleep state of the target person; storing the sleep state data into a sleep state database; predicting a future change in a physical condition of the target person from the sleep state data by referencing a physical condition prediction information database; and when the physical condition data indicating the physical condition of the target person is acquired, reading past sleep state data over a past period from the sleep state database, collating the physical condition data with the past sleep state data to generate physical condition prediction information for predicting a particular change in the physical condition from particular sleep state data, and registering the physical condition prediction information into the physical condition prediction information database.

A system for evaluating a degree of brain dysfunction of a subject, such as a decline in cognitive function, calculates a difference in movement functions between both hands in a coordination movement. The system includes a storage device for storing time-series data on a finger movement task of each of both hands of a test subject acquired by a movement sensor; a data processing device for analyzing the time-series data stored in the storage device; and a display device for displaying an analysis result analyzed by the data processing device. The data processing device includes a movement waveform generation unit for generating a movement waveform corresponding to the time-series data stored in the storage device; and a difference-between-hands feature quantity generation unit for generating a difference-between-hands feature quantity which represents a difference in respective finger movement tasks between both hands, based on the respective movement waveforms of both hands.

A relationship index value computation unit 100A that extracts n words from m texts representing contents of free conversations conducted by m patients whose severity of dementia is known, and computes a relationship index value reflecting a relationship between the m texts and the n words, a prediction model generation unit 14A that generates a prediction model for predicting severity of dementia based on a text index value group including n relationship index values for one text, and a dementia prediction unit 21A that predicts severity of dementia of a patient from a text subjected to prediction by applying the relationship index value computed by the relationship index value computation unit 100A from a text input by a prediction data input unit 20 to a prediction model are included, and severity of dementia can be predicted without performing a mini-mental state examination.

In some embodiments herein, methods, compositions, and uses for countering the effects of aberrant meningeal lymphatic drainage and/or modulating lymphatic vessels of the central nervous system are described. In some embodiments, methods, compositions, or uses for treating, preventing, or ameliorating symptoms of a neurodegenerative disease associated with aberrant meningeal lymphatic drainage are described. Modulating lymphatic vessels, or countering the effects of aberrant meningeal lymphatic drainage, in accordance with some embodiments, are used to diagnose, treat, prevent, or ameliorate symptoms of neurodegenerative diseases such as Alzheimer's disease (AD) and dementia. Methods of diagnosing and monitoring the progression of neurological diseases are also provided.

Disclosed are a method and an apparatus for rehabilitation training of a cognitive function. A method for rehabilitation training of a cognitive function may comprise the steps of: performing a cognitive function test by a cognitive rehabilitation service server; receiving a cognitive function test result of the cognitive function test by the cognitive rehabilitation service server; determining a rehabilitation method matching the cognitive function test result, by the cognitive rehabilitation service server; and providing a user device with a rehabilitation content according to the rehabilitation method so as to perform rehabilitation training, by the cognitive rehabilitation service server.

There is provided a system, method, and computer program for cognitive assessment scoring and planning in the field of neurological and/or behavioral testing. A system for automatic scoring for cognitive assessment can include quantifying cognitive states given automatic measures applied to language data. A system for automatic construction of assessment plans can include quantifying cognitive states using mathematical models, given measures extracted automatically from speech and language data.

The present invention relates to a neural implant comprising a biomaterial having an outer surface with a stochastic nanoroughness (Rq), and the application of said stochastic nanoroughness in the diagnosis and/or treatment of a neurological disorder, such as, for example, Parkinson's disease, Alzheimer's disease, glioblastoma and/or for disrupting and/or preventing glial scars in the context of mammalian mechanosensing ion channels selected from the family of PIEZO-1 and PIEZO-2 ion channels.

Devices, systems, and methods for data analysis and diagnostics utilizing Dynamic Word Entropy. A method includes: obtaining a text of a user; determining word entropy values which correspond to different lengths of text-portions of the text of the user; generating a Dynamic Word Entropy table which corresponds to the text of the user; analyzing the table, and determining whether or not the user has a particular medical condition, or determining whether or not a particular intervention has positively affected the user or has negatively affected the user or has not affected the user.

Methods and compositions for enhancing one or more of: myelination, re-myelination, oligodendrocyte numbers, or neuroaxonal protection, while ameliorating an inflammatory condition in a human subject are disclosed. In certain embodiments, the methods and compositions described herein include a reparative agent (e.g., a LINGO-1 antagonist) and an immunomodulatory agent, in combination. Thus, methods, compositions and kits described herein can be useful for treating a CNS demyelinating disease.

A method includes receiving data representing graphomotor motion during a succession of executions of graphomotor diagnostic tasks performed in a medical context by a subject, processing the received data using a computer, including determining a first set of quantitative features from a first execution of a task by the subject, and determining a second set of quantitative features from a second execution of a task by the subject, determining one or more metrics based on a comparison to the successive executions, including using at least the first set of quantitative features and the second set of quantitative features to determine said metrics, and providing a diagnostic report associated with neurocognitive mechanisms underlying the subject's execution of the tasks based on the determined metrics.