A motion platform combines oscillating single-axis or bi-axial motion and patient biological and behavioral feedback mechanisms for reducing HIIDAA in people experiencing neurological imparities. The platform is driven by actuators that provide single-axis or bi-axial motion. The platform has a planar upper surface on which a wheelchair, chair or other resting furniture can be positioned. The platform motion is actuated based on facial expression and bodily movement recognition feedback, heart rate feedback, standing and fall detection, and/or manual remote control from a wireless or internet enabled device. Noise feedback may also be provided as an input. The device actuation may include oscillating motion to simulate rocking. Music may also be output to further help manage the reduction of HIIDAA of the individual. Reinforcement and deep learning algorithms also use optimal time-dependent actuation profiles based on real-time inputs and a database of behavior characteristics of the patient.

Provided herein is the design and synthesis of novel molecular rotor fluorophores useful for detection of amyloid or amyloid like proteins. The fluorophores are designed to exhibit enhanced fluorescence emission upon associating with amyloid or amyloid like proteins as compared to unbound compound. Also disclosed herein are methods for treating diseases associated with amyloid or amyloid like proteins.

Systems and methods for treating a mental health disorder using a psychoactive treatment protocol are described herein. A protocol dosage of the psychoactive chemical such as ketamine may be determined for a patient. A diminished dosage of the psychoactive chemical may be determined for the patient. A dosage progression may be determined based on the diminished dosage and a target dosage. The psychoactive chemical may be administered to the patient according to the dosage progression over a series of therapy sessions. The psychoactive chemical may be administered by intramuscular injection.

Techniques are described for real-time phase detection. For the phase detection, a signal is correlated with a frequency component of a frequency band whose phase is being detected, and the correlation includes predominantly decreasing weighting of past portions of the signals.

An image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry is configured to obtain three-dimensional image data of a brain acquired by performing a magnetic resonance imaging process. The processing circuitry is configured to generate a projection image rendering a micro bleed or calcification occurring in the brain by performing a projecting process on the three-dimensional image data in a range limited on the basis of a shape of the brain. The processing circuitry is configured to output the projection image.

The present invention provides methods for identifying biomarkers of disease capable of affecting cognitive function. The biomarkers identified by the methods of the prevention may be used for predicting whether a mammal will develop a disease capable of affecting cognitive function. More specifically, the present invention relates to the identification of biomarkers predictive of neurological diseases in a mammal and the use of these biomarkers in the diagnosis, differential diagnosis, and/or prognosis of the neurological disease. The methods and systems provided enable an assessment and theoretical prediction of neocortical amyloid loading based on the measurement of biomarkers that will provide an indication of whether a mammal is likely to develop a neurological disease.

A computer-implemented cognitive assessment tool is provided for assessing cognitive ability of an individual while multi-tasking. In one embodiment, a computer processing system on which the tool is implemented may receive form the individual first responses to a first task and second responses to a second task, where the first task and the second task are presented to the individual simultaneously. The system may determine that the first task and the second task are performed by the individual based on the first responses and the second responses, and compute a cognitive measure using one or both of the first responses and the second responses. Further, computing the cognitive measure may be based on performance measures of one or both of the first responses and the second responses. Based on the cognitive measure, the system may output a cognitive assessment to the individual.

This invention discloses a method for improving behavioral deficits and lowering brain Aβ42 in subjects at risk for or in early stage of Alzheimer's disease or other neurodegenerative diseases by exposing said subject to frequent repetitive low intensity blast overpressure. The invention also discloses a method for treating and preventing Alzheimer's disease or other neurodegenerative diseases and associated conditions by reduce abnormal accumulation of brain protein, improve brain inflammation and clearance of amyloid beta.

Described here are systems and method for predicting clinically relevant brain features using geometric deep learning techniques, such as may be implemented with graph convolutional neural networks or autoencoder networks that are applied to graph representations of brain surface morphology derived from medical images. As an example, graph convolutional neural networks can be applied to brain surface morphology data derived from magnetic resonance images (e.g., T1-weighted) using surface extraction techniques in order to predict brain feature data.

Provided are systems, methods, and kits for multifunctional smell assessment. The kits may comprise a first surface adhered by a first releasable adhesive comprising an odorous volatile compound; and the system for registering if the odorous volatile compound is detected by a user. The system or method may comprise queries for obtaining a first input on whether the user detects and identifies the odorous volatile compound, and an intensity by which the odor is perceived.