{"title":"Research of the Abnormal Mechanism of Brain Functional Network in Early Mild Cognitive Impairment Patients","authors":"Dong Qi, Weiping Wang, Yapeng Diao, Wenxiu Zhao, Wenqin Rong, Haiyan Zhao","doi":"10.1049/syb2.70063","DOIUrl":null,"url":null,"abstract":"<p>At present, the brain neural mechanism of the onset of early mild cognitive impairment (EMCI) patients has not yet been clarified, and it is difficult to detect the pre-disease stage of EMCI patients and to carry out the subsequent intervention treatment. In this paper, by constructing the brain functional networks of the two subject groups of EMCI and Normal Control (NC), the mechanism of abnormalities in the brain functional networks and brain regions of the patients was investigated. Using the analysis method of complex network combined with graph theory, the global topological metrics of the brain functional networks of the subjects were investigated. Considering the compensatory mechanism of brain regions, this study starts with more fine-grained brain regions to analyse the differential characteristics of brain functional networks between patients and normal subjects. Finally, we draw the preliminary conclusion that the global structure of the brain functional network of EMCI patients has been fundamentally reorganised, and the working mechanism has been abnormally changed, and we have unearthed the abnormal brain regions that cause the global changes of the brain functional network.</p>","PeriodicalId":50379,"journal":{"name":"IET Systems Biology","volume":"20 1","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2026-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13084192/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IET Systems Biology","FirstCategoryId":"99","ListUrlMain":"https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/syb2.70063","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
At present, the brain neural mechanism of the onset of early mild cognitive impairment (EMCI) patients has not yet been clarified, and it is difficult to detect the pre-disease stage of EMCI patients and to carry out the subsequent intervention treatment. In this paper, by constructing the brain functional networks of the two subject groups of EMCI and Normal Control (NC), the mechanism of abnormalities in the brain functional networks and brain regions of the patients was investigated. Using the analysis method of complex network combined with graph theory, the global topological metrics of the brain functional networks of the subjects were investigated. Considering the compensatory mechanism of brain regions, this study starts with more fine-grained brain regions to analyse the differential characteristics of brain functional networks between patients and normal subjects. Finally, we draw the preliminary conclusion that the global structure of the brain functional network of EMCI patients has been fundamentally reorganised, and the working mechanism has been abnormally changed, and we have unearthed the abnormal brain regions that cause the global changes of the brain functional network.
期刊介绍:
IET Systems Biology covers intra- and inter-cellular dynamics, using systems- and signal-oriented approaches. Papers that analyse genomic data in order to identify variables and basic relationships between them are considered if the results provide a basis for mathematical modelling and simulation of cellular dynamics. Manuscripts on molecular and cell biological studies are encouraged if the aim is a systems approach to dynamic interactions within and between cells.
The scope includes the following topics:
Genomics, transcriptomics, proteomics, metabolomics, cells, tissue and the physiome; molecular and cellular interaction, gene, cell and protein function; networks and pathways; metabolism and cell signalling; dynamics, regulation and control; systems, signals, and information; experimental data analysis; mathematical modelling, simulation and theoretical analysis; biological modelling, simulation, prediction and control; methodologies, databases, tools and algorithms for modelling and simulation; modelling, analysis and control of biological networks; synthetic biology and bioengineering based on systems biology.