A Dynamic Multi-Reduction Algorithm for Brain Functional Connection Pathways Analysis

Guangyao Dai,Tongbang Jiang,Chao Yang,Yingjie Liu,Gervas Batister Mgaya

doi:10.3390/sym11050701

Guangyao Dai, Tongbang Jiang + Show 3 more

Open Access

https://doi.org/10.3390/sym11050701

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Journal: Symmetry	Publication Date: May 22, 2019
Citations: 2	License type: CC BY 4.0

Affiliation: Dalian Maritime University

Abstract

Revealing brain functional connection pathways is of great significance in understanding the cognitive mechanism of the brain. In this paper, we present a novel rough set based dynamic multi-reduction algorithm (DMRA) to analyze brain functional connection pathways. First, a binary discernibility matrix is introduced to obtain a reduction, and a reduction equivalence theorem is proposed and proved to verify the feasibility of reduction algorithm. Based on this idea, we propose a dynamic single-reduction algorithm (DSRA) to obtain a seed reduction, in which two dynamical acceleration mechanisms are presented to reduce the size of the binary discernibility matrix dynamically. Then, the dynamic multi-reduction algorithm is proposed, and multi-reductions can be obtained by replacing the non-core attributes in seed reduction. Comparative performance experiments were carried out on the UCI datasets to illustrate the superiority of DMRA in execution time and classification accuracy. A memory cognitive experiment was designed and three brain functional connection pathways were successfully obtained from brain functional Magnetic Resonance Imaging (fMRI) by employing the proposed DMRA. The theoretical and empirical results both illustrate the potentials of DMRA for brain functional connection pathways analysis.

Highlights

The brain is an important organ that serves as the center of the nervous system of human [1].The cerebral cortex plays a key role on brain cognitive functions [2]
The results show that the whole brain functional connection pathways of schizophrenia patients are lower than the normal in both resting state and working state, and the abnormality was more prominent in resting state [19]
We propose a dynamic multi-reduction approach, in which a binary discernibility matrix is formulated from the decision table in rough set theory

Summary

Introduction

The brain is an important organ that serves as the center of the nervous system of human [1]. The cerebral cortex plays a key role on brain cognitive functions [2]. A healthy person has corresponding cognitive activities while being stimulated by the external environment. Multiple brain regions in the cerebral cortex cooperate to complete these activities through different brain functional connection pathways [3]. The brain functional connection pathways have an important contribution to understand the brain functional network models [4,5]. Revealing brain functional connection pathways will provide a scientific basis and reference for diagnosis and treatment [6,7]

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Conclusion