Methods for studying the co-activation patterns of multiple brain regions in juvenile myoclonic epilepsy

Through the analysis method of co-activation mode, the changes in brain dynamic activities of adolescent myoclonus epilepsy patients and healthy control groups were studied, and the problem of the difficulty in exploring the changes in brain dynamic activities of adolescent myoclonus epilepsy patients was solved in the existing technology, and the characteristics of brain dynamic activities of JME patients were revealed.

CN114677345BActive Publication Date: 2025-04-01LANZHOU UNIVERSITY OF TECHNOLOGY
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Patent Information

Application Number
CN202210268875.4
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-03-18
Publication Date
2025-04-01
Estimated Expiration
2042-03-18

AI Technical Summary

Technical Problem

The prior art is difficult to effectively explore the changes in brain dynamic activities of adolescent myoclonus epilepsy patients in resting state, especially the differences in co-activation patterns in multi-brain areas.

Method used

The co-activation mode analysis method was used to study the brain dynamic activity changes of JME patients and healthy control groups in selected areas of interest through fMRI data combined with VBM, and the bilateral middle frontal gyrus and the right bean-shaped putamen were selected as the areas of interest.

Benefits of technology

It was found that there were differences in brain dynamic activity changes in JME patients, which were manifested as the number of patterns appeared smaller than that of healthy control groups and the possibility of switching between patterns was low. Through co-activation mode analysis, the characteristics of dynamic brain activity in JME patients were revealed, providing a new research direction.

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Abstract

The present invention belongs to the field of neuroimaging technology, and specifically relates to a method for studying the co-activation pattern of multiple brain regions in juvenile myoclonic epilepsy. The present invention first uses voxel-based morphometry (VBM) to analyze the gray matter volume of JME patients. Assuming that the brain area with gray matter volume atrophy is the key brain area that causes the disease, the brain area with gray matter volume atrophy is taken as the region of interest, and the changes in brain dynamic activity in the selected region of interest of JME patients and healthy controls are analyzed through the co-activation pattern to explore the differences between the dynamic brain activity of JME patients and normal people in the resting state.
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