Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Multimodal brain function reconstruction assessment method based on magnetoencephalogram and diffusion tensor imaging

A technology of diffusion tensor imaging and magnetoencephalography, which is applied in the fields of diagnostic recording/measurement, medical science, and special data processing applications, etc. It can solve recurrent seizures, function has not been truly restored, and it is difficult to objectively and timely reflect the true recovery of patients Degree and other issues to achieve the effect of avoiding limitations and avoiding errors

Active Publication Date: 2016-01-20
SOUTHEAST UNIV
View PDF6 Cites 12 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

These factors will make it difficult to objectively and timely reflect the true degree of recovery of patients
[0003] After acute treatment, the level of functional activity of depression patients can be restored to a certain extent, but recurrent episodes may occur, that is, the function has not been truly restored

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Multimodal brain function reconstruction assessment method based on magnetoencephalogram and diffusion tensor imaging
  • Multimodal brain function reconstruction assessment method based on magnetoencephalogram and diffusion tensor imaging
  • Multimodal brain function reconstruction assessment method based on magnetoencephalogram and diffusion tensor imaging

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0029] Below in conjunction with specific embodiment, further illustrate the present invention, should be understood that these embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention, after having read the present invention, those skilled in the art will transform various equivalents of the present invention All fall within the scope defined by the appended claims of this application.

[0030]In this embodiment, 26 untreated patients with depression, 16 patients with depression after treatment, and 26 healthy controls matched in gender, age and education level were selected. Three groups of subjects were tested for magnetoencephalography and diffusion tension. Acquisition of quantitative imaging signals, preprocessing and source reconstruction. The frontoparietal network was selected as the research object, including left intraparietal sulcus, right intraparietal sulcus, left prefrontal lobe, right prefron...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a multimodal brain function reconstruction assessment method based on magnetoencephalogram and diffusion tensor imaging. The multimodal brain function reconstruction assessment method based on magnetoencephalogram and diffusion tensor imaging comprises the following steps: 1) selecting brain regions of interest from a subject, extracting magnetoencephalogram signals of corresponding brain regions, performing sliding time window splitting processing to extracted time series signals of each brain region, and calculating a function connection matrix existing in the subject; 2) according to the selected brain regions of interest, extracting diffusion tensor imaging data and calculating a structure connection matrix existing in the subject; 3) calculating the function-structure coupling value set of the subject; 4) performing calculation of functional state transition time periods to obtain a time period with the highest final function connection ascending velocity; 5) extracting a function-structure coupling value of time corresponding to the time period obtained in step 4) according to function-structure coupling values obtained in step 3). The method disclosed by the invention avoids errors caused by subjective factors; in combination with brain structure and function information, the limitation of making a judgment purely from the angle of function is avoided.

Description

technical field [0001] The invention relates to a multimodal signal analysis technology based on magnetoencephalogram and diffusion tensor imaging data, which belongs to the fields of image processing and signal processing. Background technique [0002] At present, after a period of treatment for depression patients, the clinical diagnosis of functional recovery is based on the relief of symptoms by clinicians, combined with scales such as the Hamilton Depression Rating Scale (HAMD) and the General Assessment Scale (GAS), through physician assessment and self-assessed by patients. This method is highly subjective and has extremely high requirements for the clinician's inquiry experience. In addition, the manifestation of symptoms often lags behind the changes in brain circuits. These factors will make it difficult to objectively and timely reflect the true degree of recovery of patients. [0003] After acute treatment, the level of functional activity of depression patien...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/05G06F19/00
Inventor 卢青姚志剑毕昆
Owner SOUTHEAST UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products