Artificial immune method for constructing brain effect connection network from fMRI data

A network connection and artificial immunity technology, which is applied in special data processing applications, electrical digital data processing, instruments, etc., to achieve the effect of strong anti-noise ability, reasonable and reliable network structure, and low requirements for distribution and regular characteristics

Active Publication Date: 2015-11-04
BEIJING UNIV OF TECH
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This method makes full use of the advantages of the Bayesian network method, and uses the diversity generation and maintenance mechanism of the immune system to maintain the diversity of the population, and overcomes the ...

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  • Artificial immune method for constructing brain effect connection network from fMRI data
  • Artificial immune method for constructing brain effect connection network from fMRI data
  • Artificial immune method for constructing brain effect connection network from fMRI data

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Embodiment Construction

[0026] The specific implementation mode and detailed steps of the present invention are set forth below by emulating fMRI data set and real fMRI data set two parts:

[0027] Step (1) Experimental design.

[0028] In this method, a total of 20 healthy volunteers were recruited. The experiment adopted a resting state experiment. The fMRI data collection was performed on a 3.0T magnetic resonance imaging scanner (Magnetom Trio Tim, Siemens, Germany) to scan the heads of all subjects. The subject lies flat in the scanner, and the subject's head is fixed by a special pad to prevent head movement during the scanning process. During the scan, the subjects only need to close their eyes, relax and stay awake.

[0029] Step (2) fMRI data acquisition.

[0030] The fMRI data includes two parts: real fMRI data and simulated fMRI data. Real fMRI data, whole brain function image obtained by EPI sequence, the relevant parameters are as follows: TR (scan repetition time) = 2000ms, TE (echo ...

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Abstract

An artificial immune method for constructing a brain effect connection network from fMRI data. On the basis of a biological immune system, an artificial immune system combined with the fMRI data is disclosed and can be used for construction of the brain effect connection network. The artificial immune method particularly comprises the following steps of: carrying out experimental design, i.e. performing functional magnetic resonance scanning by using a resting-state experiment; carrying out fMRI data acquisition, i.e. under the condition of reducing a head movement and other errors as further as possible, carrying out scanning to obtain fMRI image data; carrying out pre-processing, i.e. performing pre-processing on the data by using a statistical method, and removing errors and noise which are caused by partial outside factors; selecting a region in which the user is interested, and selecting a brain region related to the study; constructing the effect connection network by a method of optimizing Bayesian network structure learning by using the artificial immune system, and searching the effect connection network matched with an fMRI data set by means of the network structure learning; and carrying out analysis, i.e. analyzing the constructed network and mining biological characteristics exposed by a network structure.

Description

technical field [0001] The invention relates to a brain effect network construction method of fMRI functional magnetic resonance imaging data, in particular to a Bayesian network structure learning method based on an artificial immune system. Background technique [0002] Functional magnetic resonance imaging (functional magenetic resonance imaging, fMRI) is a magnetic resonance imaging-based, non-invasive, non-invasive and very effective brain functional imaging technology. Because of its reliable theoretical basis, good spatial and temporal resolution and many other characteristics, it provides favorable conditions for the experimental research of cognitive neuroscience. At the same time, it has very important clinical significance in pathological research and has a wide application prospect. and important scientific value. In particular, brain networks constructed by analyzing fMRI data can help understand the complex workings of the human brain and provide insights into...

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Application Information

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IPC IPC(8): G06F19/12G06K9/62G06K9/66
Inventor 冀俊忠刘金铎
Owner BEIJING UNIV OF TECH
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