Brain function connection biomarker identification method based on neighborhood decision rough set

A technology of brain functional connectivity and biomarkers, applied in character and pattern recognition, instruments, computing, etc., can solve problems such as difficulty in obtaining classification and discrimination ability of brain functional connectivity features, focusing only on the importance of a single feature, ignoring the interrelationship of features, etc.

Pending Publication Date: 2022-01-11
BEIJING UNIV OF TECH
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Problems solved by technology

But they only focus on the importance of a single feature, ignoring the correlation between features
In addition, the above two types of existing methods lack in-depth anal

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  • Brain function connection biomarker identification method based on neighborhood decision rough set
  • Brain function connection biomarker identification method based on neighborhood decision rough set
  • Brain function connection biomarker identification method based on neighborhood decision rough set

Examples

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Embodiment Construction

[0069] The following is an example of the ABIDE I data set released by the Autism Brain Imaging Data Exchange Alliance to illustrate the specific implementation steps of the present invention:

[0070] Step (1): Build a brain functional connectivity decision table. The ABIDE I dataset contains fMRI data of 1112 subjects. Among them, the data of 18 subjects were obviously abnormal. After deleting the data of these 18 subjects, the fMRI data of the remaining 1094 subjects were used to construct the brain functional connectivity decision table. The 1094 subjects included 569 normal subjects and 525 autistic patients.

[0071] Step (1.1): Perform interslice time correction, head motion correction, spatial normalization, Gaussian smoothing, drift removal, filtering and image registration on the original fMRI data.

[0072] Step (1.2): The preprocessed fMRI data were divided into brain regions using automated anatomical labeling (AAL), and the average time series of 90 brain regio...

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Abstract

The invention provides a brain function connection biomarker recognition method based on a neighborhood decision rough set, and relates to the two fields of brain science and the neighborhood decision rough set. the neighborhood decision rough set capable of effectively processing continuous and high-noise data is introduced for the first time aiming at the characteristics of continuity and high noise of the brain function connection data to improve the accuracy of brain function connection biomarker recognition; the efficiency of the neighborhood decision rough set for identifying the brain function connection biomarker is ensured by reducing a feature search space and quickly generating equivalence classes, namely, the coarse-grained feature search space of the neighborhood decision rough set is generated by grouping brain function connection features by using feature separability measurement; and the equivalence class of each sample is quickly obtained by using the symmetry of the Hash mapping and the neighborhood relationship. The method can accurately and rapidly obtain brain function connection discrimination characteristics with strong classification capability, and is expected to provide more accurate biomarkers for diagnosis of neurological and psychiatric diseases.

Description

technical field [0001] The present invention relates to the two fields of brain science and neighborhood decision-making rough sets. Aiming at the task of identifying the discriminative features of brain functional connectivity to obtain biomarkers of brain functional connectivity, a brain functional connectivity biomarker based on neighborhood decision-making rough sets is designed. object recognition method. Background technique [0002] Depression, Alzheimer's disease, autism and other neuropsychiatric diseases are a class of major diseases that endanger human health. At present, the pathological mechanism of most of these diseases is still unclear, and there is a lack of accurate and reliable biomarkers. As a result, the diagnosis mainly depends on the experience of doctors, which is full of subjectivity and cannot guarantee the objectivity and accuracy of diagnosis. Recent brain science research has found that many neuropsychiatric diseases are associated with abnormal...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06F16/2453
CPCG06F16/2453G06F18/21G06F18/2115
Inventor 冀俊忠龙腾杨翠翠
Owner BEIJING UNIV OF TECH
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