Brain interval covariance analysis method for functional magnetic resonance data processing

Abstract

The invention discloses a brain interval covariance analysis method for functional magnetic resonance data processing. The method includes the following steps that preprocessing is carried out, wherein individual differences are eliminated firstly to obtain statistical parameter images; then regions of interest are designated according to the images; registration and standardization are carried out on brain mappings by means of an SPM software package; according to experimental design, an estimation model is appointed, so that a statistical result is obtained; according to distributed situations of activated brain intervals, precise anatomic sites of the activated regions are found out, and the regions of interest are designated; effective connection analysis based on the regions of interest is carried out, wherein a function regulation model of a correlation analysis of a brain loop is established through correlation analysis of signal values. Specifically, the relation among the regions of interest is found out through comparison changes, relative to control, of tasks of different regions of interest. Interdependency among the brain intervals can be dynamically reflected in the process of performing the tasks through time covariance analysis and time dependence connection dynamic analysis.

Description

technical field [0001] The present invention relates to the technique of interaction and synergetic competition between brain regions, in particular to a method for covariance analysis between brain regions based on internal conditions. Background technique [0002] Since the early 1990s, with the continuous maturity and development of new technologies for brain functional imaging, more and more scientists and laboratories around the world have begun to use functional magnetic resonance imaging (fMRI) technology to study advanced brain functions. neural activity. Functional magnetic resonance imaging of the brain is mainly based on the principle of contrast enhancement of blood flow and blood oxygen level dependence (BOLD Oxygenation-Level Dependent, BOLD). A study of functional activity. With high spatial resolution and the potential to further improve temporal resolution, it is very suitable for the spatiotemporal analysis of neural activity and the study of advanced bra...

AI Technical Summary

Problems solved by technology

The experimental results are usually "the activation of fMRI scanning brain region R is higher than that of T2 in a given task T1" or simply determine which brain regions are involved in cognitive processing, but it is useful for examining the participation in cognitive processes from a holistic and dynamic perspective. There are relatively few studies on the response patterns and spatio-temporal relationships of different brain regions and brain regions, and the establishment of related networks and models of information processing in the brain.

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