A system and method for improving reading ability simultaneously utilizing a distinctive protocol of multi-sensory learning and EEG biofeedback. The present invention more particularly relates to an EEG biofeedback system comprising a biofeedback apparatus in the form of a head-mountable device including an electrode array for measuring bioelectrical signals generated by a cerebral cortex of a user's brain and a computer device receiving and analyzing data collected by said biofeedback apparatus and providing audiovisual feedback to the user.

An image processing apparatus according to an embodiment includes a processing circuitry. The processing circuitry obtains an MR image acquired by a magnetic resonance imaging apparatus and related to a brain. The processing circuitry divides a region of the brain in the MR image, into plural regions. The processing circuitry sets a parameter value used in generation of a calculated image generated by synthetic MRI and related to the brain, such that a relation of contrast among regions included in the plural regions becomes a predetermined relation. The processing circuitry generates the calculated image by the synthetic MRI, by using the MR image and the parameter value.

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.

Brain dysfunction can be treated by restructuring neural pathways in the brain. A desired area in the brain to form a new neural pathway is selected. The area receives a sequential combination of (1) transcranial photobiomodulation therapy (PBMT) including a series of pulses having a frequency matched to a target brain wave and (2) another transcranial stimulation (e.g., transcranial direct current electrical stimulation and/or transcranial magnetic stimulation). The different stimulation mechanisms ensure that neuroplasticity occurs to restructure a neural pathway that is dysfunctional in nature to a new neural pathway that conducts normally.

The present invention relates to methods and devices to consolidate memory and/or cognitive functions by monitoring brain rhythms and delivering a stimulus at an appropriate stage of sleep cycle.

Applicants have discovered a new low-cost and accessible method and apparatus that allowing for quicker and more precise state determinations based on medical images. The method and apparatus are non-intrusive and require providing a medical image of a subject and determining a state based on a comparison to a training image set comprising two or more states. There is provided, according to the present invention, a computer-implemented method for processing medical images comprising calculating non-local means patch-based weights comparing patches surrounding pixels of interest in a test image with a number of patches of pixels surrounding a corresponding number of pixels in reference images; and calculating for the pixels of interest at least one state estimation using a given state assigned to said reference images and said weights.

Methods and systems incorporating non-linear dynamic (NLD) analysis such as entropy or other complexity analysis monitoring continuous or evoked signals from a biological subject are presented, where such a system comprises of processing steps including: a) the combination of a biological signal evoked as a result of patient stimulation presented to a biological subject and a non-linear analysis method capable of capturing temporal changes in signal order or regularity; b) any combination of processed evoked or continuous central nervous or peripheral physiological mechanisms b) a means to generate a measure indicative of a patient's level of anaesthesia and consciousness depth (A&CD), sedation or sleep/wake state. Methods and systems incorporating a NLD analysis means to improve the discrimination between different signals origins including any combination of: a) central nervous system (CNS), b) peripheral control or nervous system (PNS), c) autonomic control or nervous system (ANS), d) arousals, and e) artifacts.

Provided are a disease prediction apparatus and a disease prediction method using the same, which may easily learn a biosignal, may easily make a diagnosis, and may perform analysis in real time, in order to determine a disease using a biosignal via deep learning.

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.

Systems and methods for use in identifying a brain condition of a subject are provided. In some aspects, a provided method includes constructing a classifier to identify a brain condition of a subject comprising steps of receiving image data obtained from a plurality of subjects, wherein the image data is acquired during an acquisition period following administration of at least one radioactive tracer. The method also includes defining a plurality of brain condition classes using the image data associated with one or more time frames during the acquisition period, and processing the image data to generate signatures corresponding to each of the plurality brain condition classes. The method further includes constructing the classifier using the signatures. The classifier can then be applied to determine a degree to which the subject expresses one or more disease states in order to determine a brain condition of the subject.