A method for quantifying a content of hydrophobic components contained in a liquid using a contact area diffusion factor (CADF) of a droplet of the liquid to a solid surface is provided. In addition, the obtained content of the hydrophobic components provides information about prediction for possibility of developing a metabolic disease or dementia, or information about the incidence or progression of a metabolic disease or dementia.

Disclosed is a method of identifying dementia by at least one processor of a device. The method may include obtaining content analysis information and voice activity analysis information by using a plurality of first voice data and second voice data which have been obtained by performing a plurality of tasks in a user terminal, and identifying dementia by inputting the content analysis information and the voice activity analysis information to a dementia identification model.

In an aspect of the invention, a method of identifying sensory inputs affecting working memory load of an individual is provided. The method comprises monitoring (S101) working memory load of the individual using a sensor device, detecting (S102) an increase in the working memory load of the individual, and identifying (S103), in response to the detected increase, at least one sensory input affecting the working memory load of the individual.

An apparatus and a method for providing a user interface to support a cognitive function activity according to an exemplary embodiment of the present invention are provided. According to an exemplary embodiment of the present invention provides a user interface providing apparatus for supporting a cognitive function activity including: a communication unit configured to transmit and receive data; a display unit configured to display data; and a control unit configured to be operably connected to the communication unit and the display unit, the control unit is configured to connect a head mounted display (HMD) device worn on a user for screen mirroring, receive a signal related to a wearing state of the user from the HMD device, determine a user's wearing state based on the received signal related to the wearing state, instruct the HMD device to display wearing guidance information for guiding the wearing of the user according to the determined user's wearing state, and display the mirrored cognitive function activity screen while performing the cognitive function activity by the HMD device.

The present invention includes methods and kits for the diagnosing a neurological disease within primary care settings comprising: obtaining a blood test sample from a subject, measuring IL-7 and TNFα biomarkers in the blood sample, comparing the level of the one or a combination of biomarkers and neurocognitive screening tests with the level of a corresponding one or combination of biomarkers in a normal blood sample and neurocognitive screening tests, and predicting that an increase in the level of the blood test sample in relation to that of the normal blood sample indicates that the subject is likely to have a neurological disease.

The information processing device includes a factor determination unit configured to determine whether the behavior of an assisted person is an abnormal behavior of a dementia factor based on (1) information on a dementia level of the assisted person and (2) at least one of an environmental information, an excretion information, and a sleep information of the assisted person, and a support information output unit configured to output the support information to support an assistance of the assisted person by a caregiver based on the determination result of the factor determination unit and sensor information that is a sensing result about the assisted person or the caregiver assisting the assisted person.

The invention relates to neuroimaging techniques and more specifically to methods and systems for identifying and/or predicting the occurrence of neurodegenerative diseases (such as Alzheimer's disease) or cognitive impairment in a subject, based on magnetic resonance images (MRI). Anatomical and functional MRI brain images are combined to build functional connectivity maps of one or more medial temporal lobe (MTL) subregions of the brain of a subject. Functional connectivity networks associated to the anterior temporal (AT) and posterior medial (PM) hippocampal network are then identified. A metric based on the degree of functional connectivity in both networks can be used as a tool to detect functional changes associated to cognitive decline caused by neurodegenerative diseases.

A method, a structure, and a computer system for traumatic event detection. The exemplary embodiments may include collecting data using sensors worn by a user and identifying a traumatic event based on applying a model to the data, wherein the model correlates values of the data with traumatic events and traumatic brain injuries. The exemplary embodiments may further include identifying the traumatic brain injury resulting from the traumatic event.

Novel tools and techniques are provided for the detection and differentiation of activities and/or conditions based on measured bio-signals.

This invention relates to methods and compositions for treating cognitive impairment associated with central nervous system (CNS) disorders. In particular, it relates to the use of inhibitors of synaptic vesicle glycoprotein 2A (SV2A), alone or in combination with valproate, in treating cognitive impairment associated with central nervous system (CNS) disorders in a subject in need or at risk thereof, including, without limitation, subjects having or at risk for age-related cognitive impairment.