Individual cognitive ability prediction method and system based on dynamic function connection

A technology of dynamic function and cognitive ability, applied in the fields of diagnostic recording/measurement, medical science, machine learning, etc., can solve problems such as the inability to capture the relationship between individual differences and the difficulty of directly processing high-dimensional data.

Pending Publication Date: 2020-10-02
NAT UNIV OF DEFENSE TECH
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AI Technical Summary

Problems solved by technology

[0006] A large number of current studies on individual differences implicitly assume that the functional coupling between brain regions is static, the actual brain functional connectivity is constantly changing, and the dynamic functional connect

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  • Individual cognitive ability prediction method and system based on dynamic function connection
  • Individual cognitive ability prediction method and system based on dynamic function connection
  • Individual cognitive ability prediction method and system based on dynamic function connection

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Embodiment Construction

[0062] Such as figure 1 As shown, the implementation steps of the individual cognitive ability prediction method based on dynamic functional connectivity in this embodiment include:

[0063] 1) Obtain the functional magnetic resonance imaging data of the subject in a resting state;

[0064] 2) Preprocessing the fMRI data;

[0065] 3) select the brain template that includes the functional divisions of the cerebral cortex;

[0066] 4) The single brain region in the brain template of the preprocessed fMRI data is regarded as a node in the network, and the average time series signal of each brain region is extracted;

[0067] 5) Using the sliding window analysis method, the connection correlation is calculated for the average time series signal of each node, and a high-dimensional dynamic functional connection matrix is ​​obtained;

[0068] 6) The original high-dimensional dynamic functional connection matrix is ​​directly input into the pre-trained deep network model to obtain...

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Abstract

The invention discloses an individual cognitive ability prediction method and system based on dynamic function connection. The method comprises the following steps: acquiring functional magnetic resonance imaging data in a resting state; extracting an average time sequence signal of each brain region through a brain template after preprocessing of the functional magnetic resonance imaging data; calculating and constructing a dynamic function connection matrix by using a sliding time window; with the dynamic function connection matrix as input high-dimensional dynamic brain description originaldata, constructing a model combining convolution and a long-short-term memory network; and substituting a dynamic function matrix and corresponding cognitive behavior data into the model for trainingand testing so as to realize prediction of cognitive competence. According to the invention, dynamic information of brain function connection is fully utilized, the advantages of a deep learning method in big data processing are utilized, calculation is rapid, prediction effect is ideal, various behavior data of a population can be predicted, dependence on the absolute value of the amplitude of imaging signals is avoided, migrations among different MRI machines can be realized, and prediction performance is excellent.

Description

technical field [0001] The present invention relates to an individual cognitive ability prediction technology based on functional magnetic resonance imaging (fMRI) data, in particular to a method and system for individual cognitive ability prediction based on dynamic functional connectivity. Background technique [0002] The principle of functional magnetic resonance imaging is to measure hemodynamic changes caused by neuronal activity through magnetic resonance imaging. For example, when certain sense organs are stimulated, certain specific brain functional areas of the cerebral cortex are activated, and these activated brain areas send out neural signals, which are obtained by using MRI to obtain a series of images. When people perform various complex tasks such as movement, sensation, and advanced cognition, certain neural signals in the brain will be aroused. This physiological brain activity will cause changes in local cerebral blood flow, cerebral blood volume, and ene...

Claims

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Application Information

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IPC IPC(8): A61B5/00G06N20/00
CPCA61B5/4088G06N20/00
Inventor 沈辉范良伟胡德文秦键曾令李李明
Owner NAT UNIV OF DEFENSE TECH
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