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HRF差异性及对大脑功能连接的影响研究

王晓燕 张俊然 罗昌宇 何美荣 周丽君

电子科技大学学报2025,Vol.54Issue(2):294-304,11.
电子科技大学学报2025,Vol.54Issue(2):294-304,11.DOI:10.12178/1001-0548.2024042

HRF差异性及对大脑功能连接的影响研究

Research on HRF differences and their impact on brain functional connectivity-A case study on diabetes

王晓燕 1张俊然 2罗昌宇 2何美荣 2周丽君2

作者信息

  • 1. 四川大学电气工程学院,成都 610065||西北民族大学电气工程学院,兰州 730070
  • 2. 四川大学电气工程学院,成都 610065
  • 折叠

摘要

Abstract

When analyzing brain functional connectivity(FC),differences in the hemodynamic response function(HRF)are often overlooked.However,these differences can affect the calculation of FC and may confound the accuracy of statistical results.This study uses diabetic patients as an example to compare HRF parameters(response amplitude,response time,and full width at half maximum)between diabetic patients and healthy individuals based on their resting-state functional magnetic resonance imaging(rs-fMRI)data.Significant differences in HRF parameters were identified in specific brain regions,which were then used as seed points to construct whole-brain functional connectivity.Statistical analysis was performed to compare the differences in connectivity strength both before and after deconvolution,within and between groups.The results indicate that in some key brain regions(such as brain64),significant differences in HRF parameters exist between the diabetic patient group and the healthy population.T-test results show that FC connectivity strength exhibits different significant patterns before and after deconvolution,reflecting that variability in HRF affects the calculation of FC connectivity strength.This,in turn,may influence the understanding of changes in the brain network of individuals with diabetes and its underlying neural mechanisms.The findings suggest that when conducting FC analyses based on blood oxygen level-dependent(BOLD)time series in metabolic brain diseases,it is essential to fully consider the potential impact of HRF variability on the results and to perform deconvolution on the BOLD time series to correct for HRF differences.This will help to more accurately capture changes and characteristics of brain functional connectivity,provide deeper insights into disease mechanisms,and partially address reproducibility issues in fMRI research.

关键词

静息态功能磁共振成像/血液动力学响应函数/功能连接/统计分析/差异性

Key words

rs-fMRI/hemodynamic response function/functional connectivity/statistical analysis/variability

分类

信息技术与安全科学

引用本文复制引用

王晓燕,张俊然,罗昌宇,何美荣,周丽君..HRF差异性及对大脑功能连接的影响研究[J].电子科技大学学报,2025,54(2):294-304,11.

基金项目

国家自然科学基金民航联合重点项目(U2333209) (U2333209)

四川省科技计划项目(2022YFS0109) (2022YFS0109)

甘肃省自然基金(22JR11RA232) (22JR11RA232)

电子科技大学学报

OA北大核心

1001-0548

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