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Epilepsy paradoxical discharge locus positioning method and system based on EEG-fMRI

A technology of abnormal discharge and positioning method, which is applied in the field of brain disease research, can solve problems such as missed detection, and achieve the effect of improving positioning accuracy and high temporal and spatial resolution

Active Publication Date: 2018-02-09
NAT UNIV OF DEFENSE TECH
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Problems solved by technology

At present, synchronous EEG-functional MRI (EEG-fMRI) fusion analysis has been widely used in the location of abnormal discharge sites in epileptic patients, but at present, the time points of epileptic discharges are mainly manually calibrated, and there is a possibility of missed detection If other possible discharge time points can be found through the feature extraction of reliable markers, the positioning accuracy of fusion analysis will be effectively improved

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  • Epilepsy paradoxical discharge locus positioning method and system based on EEG-fMRI
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  • Epilepsy paradoxical discharge locus positioning method and system based on EEG-fMRI

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Embodiment Construction

[0055] Such as figure 1 As shown, the implementation steps of the EEG-fMRI-based EEG-fMRI method for locating abnormal discharge sites in this embodiment include:

[0056] 1) Synchronously collect the EEG data and functional magnetic resonance imaging data of the patient in the resting state;

[0057] 2) Preprocessing the EEG data and fMRI data respectively;

[0058] 3) For the preprocessed EEG data, mark the time point of epileptic discharge in the interictal period and its corresponding duration according to the signal waveform;

[0059] 4) After aligning the EEG data and functional magnetic resonance imaging data in time, select the image frames of the functional magnetic resonance imaging data corresponding to the time point of the epileptic discharge, and use the standard brain template to extract the gray matter in these image frames Signals, use different similarity measures to perform hierarchical clustering, and divide them into different combinations of gray matter...

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Abstract

The invention discloses an epilepsy paradoxical discharge locus positioning method and system based on EEG-fMRI. The method includes the steps of synchronously collecting brain electric data and functional magnetic resonance imaging data of a patient in a resting state to be preprocessed, marking epilepsy discharge time points and corresponding duration in the interictal phase, aligning the brainelectric data and the functional magnetic resonance imaging data on terms of time, selecting image frames of the functional magnetic resonance imaging data to extract grey matter part signals so as toconduct layered clustering to establish a epilepsy discharge grey matter template, marking epilepsy discharge related time points, obtaining expected BOLD time signals, conducting correlation analysis through a generalized linear model to find a brain area related to epilepsy discharge activities, and comprehensively obtaining an epilepsy paradoxical discharge locus. Through brain electric-functional magnetic resonance imaging fusion analysis, the epilepsy discharge time points marked by a doctor are expanded, the positioning accuracy of the paradoxical discharge locus is improved, and the method has the advantages of being simple in principle, convenient to implement and stable in result.

Description

technical field [0001] The invention relates to the field of brain disease research, in particular to an EEG-fMRI-based method for locating abnormal discharge sites in epilepsy, which is used to locate abnormal discharge sites in epilepsy patients based on EEG and functional magnetic resonance imaging (fMRI) data . Background technique [0002] Functional Magnetic Resonance Imaging (fMRI) technology is a neuroimaging method that has developed rapidly in recent years. fMRI measures blood oxygen level dependent (blood oxygen level dependent) , BOLD) signals to study brain neural activity. As a non-invasive in vivo imaging method, fMRI has an ideal millimeter-level spatial resolution and a second-level temporal resolution. Since it was first applied to the human brain in the 1990s, it has quickly become the most widely used in neuroscience research. A wide range of brain imaging techniques. [0003] Electroencephalogram (electroencephalogram, EEG) is a method of synchronous ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/00A61B5/055A61B5/0476
CPCA61B5/055A61B5/4094A61B5/7235A61B5/7282A61B5/369
Inventor 曾令李苏建坡胡德文沈辉
Owner NAT UNIV OF DEFENSE TECH
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