METHOD OF INTELLIGENT FEEDBACK FOR BRAIN STIMULATION FOR IMPLEMENTATION OF REHABILITATION AND/OR PREVENTION OF NEURODEGENERATION Russian patent published in 2024 - IPC G16H10/00 A61B5/05 

FIELD: medicine.

SUBSTANCE: invention relates to a method of stimulating morphofunctional structures of the brain for the implementation of rehabilitation or prevention of neurodegeneration to improve intellectual functions or acquire new intellectual abilities and skills of sick or healthy people using feedback. Method comprises assessing the morphofunctional state of brain regions to identify brain regions with degenerative changes in sick people by comparing the morphofunctional characteristics of the user's brain on medical images and/or morphofunctional tests obtained as a result of the examination of the user, with normal values of the corresponding social group or brain regions are selected to improve the desired intellectual functions of healthy people; training a user and a classifier as part of an invasive and/or non-invasive brain-computer interface, wherein the user is trained to use the invasive and/or non-invasive brain-computer interface as an input device to implement mental control in a virtual environment using feedback based on a signal to the user, reporting on the effectiveness of control using a brain-computer interface; and the classifier is trained based on the brain signals of the user to classify the brain activity patterns coming from the user, when performing mental control in a virtual environment or devices using a brain-computer interface; brain-computer interface classifier parameters are adaptively adjusted in order to change mental control patterns so that when the user further uses the invasive and/or non-invasive brain-computer interface, the identified brain areas are involved in mental control with degenerative changes or selected areas of the brain for improving intellectual functions and/or acquiring new intellectual abilities and skills when implementing mental control in a virtual environment or devices using a brain-computer interface; performing adaptive training of a user and a classifier with adaptively tuned parameters as part of an invasive and/or non-invasive brain-computer interface, wherein the classifier with adaptively tuned parameters processes the information from the brain signals according to the tuned parameters at the previous step to involve the detected brain regions with degenerative changes or selected areas of the brain for improving intellectual functions and/or acquiring new intellectual abilities and skills when performing mental control of commands in a virtual environment or devices using a brain-computer interface in order to activate neuroplasticity in these areas of the brain.

EFFECT: high accuracy of classifying a brain-computer interface signal.

5 cl, 2 dwg