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.

Systems and methods of the present disclosure are directed to systems and methods for treating cognitive dysfunction in a subject in need thereof. The system can include a light source and a speaker. A visual neural stimulation system provides, via the light source, visual stimulation having a first value of a first parameter. An auditory neural stimulation system provides, via the speaker, audio stimulation having a second value of the second parameter. A stimuli orchestration component selects, for a first time interval, one of the visual stimulation or the audio stimulation to vary based on a policy, selects, for the first time interval, the other of the visual stimulation or the audio stimulation to keep constant based on the policy, and provides causes the one of the visual neural stimulation system or the auditory neural stimulation system to vary the one of the visual stimulation or the audio stimulation.

A system and apparatus for the management and intervention of neurocognitive-related conditions and diseases. The intervention may be implemented in the form of a wearable device providing one or more features of medication adherence, voice, data, SMS reminders, alerts, location via SMS, and 911 emergency. The device may function in combination with an application software accessible to multiple clients (users) executable on a remote server to provide patient support of memory, social contact, daily activities, safety as well as support for caregivers, and feedback for healthcare providers in the management of neurocognitive and neurodegenerative conditions, syndromes, and diseases including dementia and AD. Alternative embodiments implementing monitoring and intervention include using mobile apps or voice-controlled speech interface devices to access cloud control services capable of processing automated voice recognition-response and natural language understanding-processing to perform functions and fulfill user requests.

A system for analyzing eye movement on the basis of brain function and a device using the same, wherein the eye movement analysis system comprises: an eye movement behavior pattern and a plurality of eye movement data collection and data storage modules. The eye movement data collection is used to perform real time analysis on position data of the head and eyes, so as to compensate for the impact of head motion on eye position, thereby ensuring more accurate results. The device using this system is applicable to the diagnosis of neurodegenerative diseases.

Disclosed are piston actuator devices and their uses for magnetic resonance elastography (MRE).

The majority of cognitive virtual reality (VR) applications have been for therapy, and not cognitive screening/scoring. Provided herein is the BrightScreener and its first pilot feasibility study for evaluating elderly with various degrees of cognitive impairment. BrightScreener is a portable (laptop-based) serious-gaming system which incorporates a bimanual game interface for more ecological 3D interaction with virtual worlds. A pilot study determined that BrightScreener is able to differentiate levels of cognitive impairment based solely on game performance, as well as to evaluate the technology acceptance by the target population. Subsequent group analysis of the Pearson correlation coefficient showed a high degree of correlation between the subjects' MMSE scores and their Composite Game Scores (0.90, |P|<0.01). Despite the small sample size (n=11), results suggest that serious-gaming strategies can be used as a digital technique to stratify levels of Cognitive Impairment. This may be an alternative to conventional standardized scoring for Mild Cognitive Impairment and Dementia, especially for patients with hearing and speech deficits.

A system and method for continuous monitoring of central nervous system diseases are provided in which typing cadence is used to measure cognitive function at a very granular level, providing hard, specific and detailed data to the neurologists about the central nervous system diseases. The system may also be used by a patient with a central nervous system disease to experiment with changes to diet, exercise and other things and test the effectiveness of those changes and patients can understand better why an unexpected improvement or worsening occurred.

Embodiments can provide a computer implemented method in a data processing system comprising a processor and a memory comprising instructions which are executed by the processor to cause the processor to implement a reading skill assessment system, the method comprising: processing a body of text; applying one or more text mutators to the body of text to produce a mutated text output; presenting the mutated text output to a reader; prompting the reader to provide one or more answers to one or more questions regarding the mutated text output; processing the one or more answers provided by the reader; processing one or more metrics collected from the reader; calculating a reader skill score for the reader; mapping the calculated reader skill score against one or more baseline reading skill score levels; and suggesting a reading skill level to the reader.

A system and method for determining and monitoring a neurological disorder using key action cadence is disclosed.

A training template construction apparatus includes a gaze fixation point receiving unit for receiving gaze fixation points of a user that looks a facial picture that expresses random emotion, from an eye tracking apparatus that is operatively associated with the gaze fixation point receiving unit, a gaze pattern extraction unit for extracting a gaze pattern and gaze pattern information via machine-learning of the gaze fixation points received from the gaze fixation point receiving unit, a heat map deduction unit for deducing a heat map using the gaze pattern and the gaze pattern information that are extracted by the gaze pattern extraction unit, a difference heat map deduction unit for deducing a difference value between the heat map deduced from the heat map deduction unit and a heat map of a reference group based on pre-stored facial pictures that express the same emotion and for deducing a difference heat map to which the difference value is applied, and a controller for analyzing the gaze pattern and the difference heat map to generate a training template of a sequence, a time, and a path for user gaze treatment.