Method for Identifying Images of Brain Function and System Thereof

摘要

The present invention provides a method for identifying images of brain function. In the beginning, choosing one of the brain data collected by multichannel scalp EEG/MEG, and using a mode decomposition method to obtain a plurality of intrinsic mode functions for each brain data, transforming the intrinsic mode functions (IMFs) in the same frequency scale into a plurality of source IMFs across the cerebral cortex by a source reconstruction algorithm, and classifying each source IMF in the same frequency scale into a plurality of frequency regions corresponding to the different brain sites. Then, repeatedly choosing a source IMF, and obtaining an amplitude envelope line through each absolution value of the source IMF. Further to obtain a plurality of source first-layer amplitude IMFs decomposed from the function of the amplitude envelope line by the mode decomposition method. Until obtaining the source first-layer amplitude IMFs from each source IMF, classifying each source first-layer amplitude IMF in the same amplitude frequency scale into a plurality of amplitude frequency regions corresponding to the different brain sites. In the end, a brain amplitude modulation spectrum is provided for analyzing the relationship between each frequency region and each amplitude frequency region.

主权项

1. A method implemented in a data analysis system for identifying images of brain function, comprises:
(A) obtaining a plurality of brainwave data, wherein the plurality of brainwave data is collected from a plurality of EEG or MEG channels placed on or over the scalp; (B) decomposing one of the brainwave data by a mode decomposition method, to generate a plurality of intrinsic mode functions, wherein the plurality of intrinsic mode functions are an amplitude value changes over time of the brainwave data in each different frequency scale; (C) selecting another one of the brainwave data, repeating step (B), until obtaining the plurality of intrinsic mode functions from all of the brainwave data; (D) classifying the plurality of intrinsic mode functions in the same frequency scale into a frequency region, to obtain a plurality of frequency regions corresponding to the different EEG or MEG channels; (E) transforming the plurality of intrinsic mode functions in the same frequency scale into a source space by a source reconstruction method, to obtain a plurality of source intrinsic mode functions corresponding to the different brain sites; (F) selecting one of the source intrinsic mode functions, taking an absolute value of the source intrinsic mode function, then producing an amplitude envelope line comprising all maxima of the absolute value, to obtain a plurality of source first-layer amplitude intrinsic mode functions from the amplitude envelope line by the mode decomposition method, wherein the plurality of source first-layer amplitude intrinsic mode functions are a value changes over time of the amplitude envelope line in each different amplitude frequency scale; (G) selecting another one of the source intrinsic mode functions, repeating step (F), until obtaining the plurality of source first-layer amplitude intrinsic mode functions from all of the source intrinsic mode functions; (H) classifying the plurality of source first-layer amplitude intrinsic mode functions in the same amplitude frequency scale into a amplitude frequency region, to obtain a plurality of amplitude frequency regions corresponding to the different amplitude frequency scales; and (I) generating a brain amplitude modulation spectrum based on the plurality of frequency regions corresponding to the plurality of amplitude frequency regions at same time, wherein the brain amplitude modulation spectrum discloses a plurality of relative values between the frequency regions and the amplitude frequency regions corresponding to the different brain sites.