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Method for detecting functional connection between brain regions based on graph theory

A detection method and functional technology, applied in diagnostic recording/measurement, medical science, special data processing applications, etc., can solve problems such as limited detection methods of brain interval connections

Inactive Publication Date: 2005-06-15
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

However, due to the complexity of the human brain and limitations in methodology, the current detection methods for inter-brain connectivity are very limited. Existing methods usually focus on paired regions (ie: one-to-one, 1- 1) In the study of functional connection strength [1, 2], the joint interaction between multiple brain regions (such as many-to-one, n-1) is rarely considered, and multiple brain regions are completed through coordination A task is closer to how the brain works

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  • Method for detecting functional connection between brain regions based on graph theory
  • Method for detecting functional connection between brain regions based on graph theory
  • Method for detecting functional connection between brain regions based on graph theory

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Embodiment

[0067] Embodiment: The method of use of our invention will be described below by taking the difference in the connection of brain regions between the resting state and the exercising state of the human brain as an example. In different activity states of the human brain (such as rest and exercise), the coordination between certain brain regions is significantly different. For example, in the rest state, there are relatively close connections between certain brain regions, which jointly process In the state of exercise, there is a relatively close connection between other brain regions to complete the motor function together. The regulation of connections between brain regions is of great significance for the brain to complete different functions under different activity states.

[0068] 1. Determine the region of interest

[0069] We used a classic fMRI test design—a block design (Block design) finger movement test task to determine the region of interest. The activation of ...

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Abstract

A method based on graph theory for testing the function association between cerebral areas features that the methematic model of the relation between cerebral areas is created on the basis of graph theory for testing their function association, and the role of some cerebral area in the function network is evaluated. It includes such steps as making a person to be tested lie on a magnetic resonance equipment, performing an experimental task while scanning its brain to obtain functional magnetic resonance signals, and computer analyzing to quantitatively give out the functional association between cerebral areas.

Description

technical field [0001] The invention relates to the technical field of magnetic resonance imaging, in particular to a method for detecting functional connections between brain regions based on graph theory. Background technique [0002] Functional Magnetic Resonance Imaging (fMRI), due to its high temporal and spatial resolution, has become the fastest-growing non-invasive in vivo brain function detection technology in the field of brain research in the past decade. Traditional fMRI research is to detect the activity of neurons in brain regions closely related to this task (ie, activation area detection) under a given cognitive task, but it is difficult for us to explore the human brain through the method of activation area detection. how the various brain regions interact. Even the simplest task of the human brain requires the coordination of multiple brain regions. Therefore, the study of the connection between brain regions is of great importance to both clinical medicin...

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Application Information

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IPC IPC(8): A61B5/055G06F19/00
Inventor 贺永蒋田仔臧玉峰吕英立
Owner INST OF AUTOMATION CHINESE ACAD OF SCI