Disclosed herein are systems and methods for treating memory impairment, and more specifically to customized visual presentation for treating memory-related disorders and diseases. The disclosed systems and methods can predict clinical status of patients based on platform user behavior, such as those of patients. This abstract is intended as a scanning tool for purposes of searching in the particular art and is not intended to be limiting of the present invention.

Embodiments of the present invention provide systems and methods for analyzing cognitive status. The method includes capturing a set of observables for a subject based on their interaction with smart objects, such as smart blocks or smart items. The method further includes accessing data sets, such as medical data about cognitive function, scientific data about cognitive function, and historical data for the subject, analyzing the set of observables, and generating a report about the cognitive abilities of the subject based on the analysis.

Embodiments of the present invention provide a circuit board enclosed in an encasing with processors and memory, configured to receive and analyze data, and containing computer logic capable of receiving and analyzing data. The apparatus further includes sensors connected to the processors configured to transfer data to the processors, a power source configured to provide power to the processors, memory modules and sensors, one or more of a light source, an audio source, a vibration source, and a video source, a timing device, a wireless component and/or a wired component capable of transferring data, a light sensor capable of determining the intensity of the received light, computer logic capable of generating a report or transferring the data to a source capable of generating the report, where the report is a cognitive assessment, a comparison of cohorts, or a determination of how the subject puts together an apparatus with a second apparatus, and where the cohorts are people with same or similar diseases, conditions, ages, medical histories, social demographics, experience levels, or locations.

A computer device may identify an interaction device that is capable of outputting a simulation representative of an identified aspect of an entity. The computer device may trigger the identified interaction device to output a simulation of the identified aspect.

A cognitive function evaluation method in a cognitive function evaluation device that evaluates a cognitive function based on a walking motion of a subject includes: acquiring walking data related to walking of the subject; detecting, from the walking data, at least one of an angle of an ankle joint of one foot and an angle of a knee joint of one leg of the subject; and determining a cognitive function level of the subject using at least one of the angle of the ankle joint and the angle of the knee joint.

A brain mapping system and methods for providing personalized therapy for a broad range of brain dysfunctions by determining the location and the extent of the brain regions that have to be therapeutically targeted in each subject. The present invention includes means to record specific characteristics of brain activity, detect and display brain regions that present signatures of disease or dysfunctions by using a computing system. The therapy is tuned to target detected brain regions to restore specific connectivity characteristics using invasive, non-invasive stimulation, neurofeedback or drug administration. While connectivity characteristics are estimated based on resting state recordings the therapy will be performed in successive steps to alter network fragmentation in dysfunctional brain regions. The improved treatment is tailored to individual patients that will learn how to reshape specific connectivity characteristics to target the determined location and the extent of brain regions and maximize the therapeutic potential. The brain mapping technology is suited for different technologies and not limited to electroencephalography (EEG) or magneto electroencephalography (MEG).

A closed-loop controlled chemical apparatus includes: a compound sensor including: an analyte sensor and that: produces, by the analyte sensor, a voltage signal; a reference sensor in electrical communication with the analyte sensor; a transistor including a gate terminal such that a drain current of the transistor is maintained at a constant value and operated at an optimal transduction condition of peak sensitivity and minimum noise of the transistor; a feedback controller in electrical communication with the transistor and that: receives a transduction signal; determining a deviation of the transduction signal from a setpoint, the setpoint determined by transfer characteristics of the transistor; produces the feedback control signal that minimizes the deviation of the transduction signal from the based on a control model; and communicates the feedback control signal to the reference sensor for suppression of electrical noise fluctuations in the closed-loop controlled chemical apparatus.

Neurodegeneration can be assessed based on a gait signature, using a machine-learning model trained on gait metrics acquired for a patient, in conjunction with cognitive test data and neuropathology information about the patient. The gait signature can be derived from gait kinematic data, e.g., as obtained with a video-based, marker-less motion capture system.

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.

Techniques are described for determining cognitive impairment, an example of which includes accessing a set of epochs of magnetoencephalography (MEG) data of responses of a brain of a test patient to a plurality of auditory stimulus events; processing the set of epochs to identify parameter values one or more of which is based on information from the individual epochs without averaging or otherwise collapsing the epoch data. The parameter values are input into a model that is trained based on the parameters to determine whether the test patient is cognitively impaired.