Aarón Maturana-Candelas , Roberto Hornero , Jesús Poza , Víctor Rodríguez-González , Víctor Gutiérrez-de Pablo , Nadia Pinto , Miguel A. Rebelo , Carlos Gómez
{"title":"MAPT基因变异对脑电活动的影响:一项多重网络研究","authors":"Aarón Maturana-Candelas , Roberto Hornero , Jesús Poza , Víctor Rodríguez-González , Víctor Gutiérrez-de Pablo , Nadia Pinto , Miguel A. Rebelo , Carlos Gómez","doi":"10.1016/j.bspc.2025.108129","DOIUrl":null,"url":null,"abstract":"<div><div>The aim of this study is to examine how variations in the microtubule-associated protein tau (<em>MAPT</em>) gene affect the brain functional network. For this purpose, resting-state electroencephalogram (EEG) data from 155 participants were acquired. This database included healthy controls and Alzheimer’s disease patients carrying seven <em>MAPT</em> alleles associated with risk or protective effects against neuropathologies or abnormal tau levels. To assess the impact of each genotype on brain function, a multiplex network analysis quantified the connectivity contribution of each brain region across multiple EEG frequency bands: (delta, theta, alpha, and beta). To this end, brain functional connectivity was first calculated for each brain region and frequency band using the phase lag index (PLI) parameter. The PLI adjacency matrices in each frequency band corresponded to the layers conforming the multiplex network. Subsequently, the participation coefficient (<em>P</em>) was computed in each brain region to reflect node degree diversification among frequency bands. Carriers of risk and protective alleles exhibited distinct values of <em>P</em>, especially in the left default mode network in healthy controls. In addition, carriers of the risk alleles generally presented higher network disruptions. Finally, significant differences in node degree values were observed across SNPs in the theta and beta frequency bands. These results suggest that different <em>MAPT</em> variants may lead to diverse tau species that influence brain function, particularly in brain regions involved in information flow management in preclinical states. These insights may help understanding network disturbances caused by molecular factors.</div></div>","PeriodicalId":55362,"journal":{"name":"Biomedical Signal Processing and Control","volume":"110 ","pages":"Article 108129"},"PeriodicalIF":4.9000,"publicationDate":"2025-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Effect of MAPT gene variations on the brain electrical activity: A multiplex network study\",\"authors\":\"Aarón Maturana-Candelas , Roberto Hornero , Jesús Poza , Víctor Rodríguez-González , Víctor Gutiérrez-de Pablo , Nadia Pinto , Miguel A. Rebelo , Carlos Gómez\",\"doi\":\"10.1016/j.bspc.2025.108129\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The aim of this study is to examine how variations in the microtubule-associated protein tau (<em>MAPT</em>) gene affect the brain functional network. For this purpose, resting-state electroencephalogram (EEG) data from 155 participants were acquired. This database included healthy controls and Alzheimer’s disease patients carrying seven <em>MAPT</em> alleles associated with risk or protective effects against neuropathologies or abnormal tau levels. To assess the impact of each genotype on brain function, a multiplex network analysis quantified the connectivity contribution of each brain region across multiple EEG frequency bands: (delta, theta, alpha, and beta). To this end, brain functional connectivity was first calculated for each brain region and frequency band using the phase lag index (PLI) parameter. The PLI adjacency matrices in each frequency band corresponded to the layers conforming the multiplex network. Subsequently, the participation coefficient (<em>P</em>) was computed in each brain region to reflect node degree diversification among frequency bands. Carriers of risk and protective alleles exhibited distinct values of <em>P</em>, especially in the left default mode network in healthy controls. In addition, carriers of the risk alleles generally presented higher network disruptions. Finally, significant differences in node degree values were observed across SNPs in the theta and beta frequency bands. These results suggest that different <em>MAPT</em> variants may lead to diverse tau species that influence brain function, particularly in brain regions involved in information flow management in preclinical states. These insights may help understanding network disturbances caused by molecular factors.</div></div>\",\"PeriodicalId\":55362,\"journal\":{\"name\":\"Biomedical Signal Processing and Control\",\"volume\":\"110 \",\"pages\":\"Article 108129\"},\"PeriodicalIF\":4.9000,\"publicationDate\":\"2025-06-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biomedical Signal Processing and Control\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1746809425006408\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, BIOMEDICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomedical Signal Processing and Control","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1746809425006408","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, BIOMEDICAL","Score":null,"Total":0}
Effect of MAPT gene variations on the brain electrical activity: A multiplex network study
The aim of this study is to examine how variations in the microtubule-associated protein tau (MAPT) gene affect the brain functional network. For this purpose, resting-state electroencephalogram (EEG) data from 155 participants were acquired. This database included healthy controls and Alzheimer’s disease patients carrying seven MAPT alleles associated with risk or protective effects against neuropathologies or abnormal tau levels. To assess the impact of each genotype on brain function, a multiplex network analysis quantified the connectivity contribution of each brain region across multiple EEG frequency bands: (delta, theta, alpha, and beta). To this end, brain functional connectivity was first calculated for each brain region and frequency band using the phase lag index (PLI) parameter. The PLI adjacency matrices in each frequency band corresponded to the layers conforming the multiplex network. Subsequently, the participation coefficient (P) was computed in each brain region to reflect node degree diversification among frequency bands. Carriers of risk and protective alleles exhibited distinct values of P, especially in the left default mode network in healthy controls. In addition, carriers of the risk alleles generally presented higher network disruptions. Finally, significant differences in node degree values were observed across SNPs in the theta and beta frequency bands. These results suggest that different MAPT variants may lead to diverse tau species that influence brain function, particularly in brain regions involved in information flow management in preclinical states. These insights may help understanding network disturbances caused by molecular factors.
期刊介绍:
Biomedical Signal Processing and Control aims to provide a cross-disciplinary international forum for the interchange of information on research in the measurement and analysis of signals and images in clinical medicine and the biological sciences. Emphasis is placed on contributions dealing with the practical, applications-led research on the use of methods and devices in clinical diagnosis, patient monitoring and management.
Biomedical Signal Processing and Control reflects the main areas in which these methods are being used and developed at the interface of both engineering and clinical science. The scope of the journal is defined to include relevant review papers, technical notes, short communications and letters. Tutorial papers and special issues will also be published.