Mathematical talent teenager brain network analysis method based on weighted phase lag index

Abstract

The invention discloses a mathematical talent teenager brain network analysis method based on a weighted phase lag index, and the method comprises the steps: constructing a phase synchronization network based on a task state EEG signal through employing an algorithm based on the weighted phase lag index, and converting the phase synchronization network into a functional connectivity network; and measuring the connection network by utilizing graph theory indexes, and describing connection network characteristics of the mathematical talent teenagers, including active brain regions and the graphtheory indexes. Compared with the prior art, the method provided by the invention has the advantages that the connection network characteristics of the mathematical exceptional teenagers are describedbased on the task state EEG signals, and the phase synchronization network is constructed by adopting the weighted phase lag index and is converted into the functional connection network, which reduces the probability of detecting false positives when the phase difference between volumetrically conducted noise sources is zero, and increases the sensitivity of detecting phase synchronization.

Description

technical field [0001] The invention belongs to the field of computational neuroscience, and in particular relates to a brain network analysis method for mathematically gifted teenagers based on a weighted phase lag index. Under the framework of hypothesis testing, a functional connection network was constructed based on the weighted lag index for cortical source signals in the θ band, and the corresponding graph theory metrics were calculated to study and analyze the differences in network functional integration between the two groups of subjects. Background technique [0002] With the improvement of living standards, people not only begin to pay attention to comfortable material life, but also pay more and more attention to the level of culture and education. In our country, more and more children have been discovered in various fields, showing their outstanding abilities. Such a group of children with supernormal levels is called "talented teenagers". Gifted adolescents...

AI Technical Summary

Problems solved by technology

But they all have some shortcomings and disadvantages, such as: SC can only measure the linear coherence between signals; PLV will be seriously affected by volume conduction; although PLI can avoid volume conduction effects, it is easily affected by small disturbances

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