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A study of connectivity features analysis in brain function network for dementia recognition

Siying Li Peng Wang Zhenfeng Li Lidong Du Xianxiang Chen Jie Sun Libin Jiang Gang Cheng Zhen Fang

纳米技术与精密工程（英文）2025，Vol.8Issue(1)：79-93,15.

纳米技术与精密工程（英文）2025，Vol.8Issue(1)：79-93,15.DOI:10.1063/10.0034533

A study of connectivity features analysis in brain function network for dementia recognition

Siying Li ¹Peng Wang ²Zhenfeng Li ²Lidong Du ²Xianxiang Chen ²Jie Sun ³Libin Jiang ⁴Gang Cheng ⁵Zhen Fang⁶

作者信息

1. Aerospace Information Research Institute,Chinese Academy of Sciences(AIRCAS),Beijing 100190,China||School of Electronic,Electrical and Communication Engineering,University of Chinese Academy of Sciences,Beijing 100190,China
2. Aerospace Information Research Institute,Chinese Academy of Sciences(AIRCAS),Beijing 100190,China
3. Zhongshan Zhongke Guangrun Technology Co.,Ltd.,Zhongshan 528400,China
4. Beijing Tongren Eye Center,Beijing Tongren Hospital,Capital Medical University,Beijing 100730,China
5. Department of Neurosurgery,First Medical Center of Chinese PLA General Hospital,Beijing 100048,China
6. Aerospace Information Research Institute,Chinese Academy of Sciences(AIRCAS),Beijing 100190,China||School of Electronic,Electrical and Communication Engineering,University of Chinese Academy of Sciences,Beijing 100190,China||Zhongshan Zhongke Guangrun Technology Co.,Ltd.,Zhongshan 528400,China
折叠

摘要

关键词

Electroencephalography/Brain function network/Machine learning/Feature selection/Dementia recognition

Key words

Electroencephalography/Brain function network/Machine learning/Feature selection/Dementia recognition

引用本文复制引用

Siying Li,Peng Wang,Zhenfeng Li,Lidong Du,Xianxiang Chen,Jie Sun,Libin Jiang,Gang Cheng,Zhen Fang..A study of connectivity features analysis in brain function network for dementia recognition[J].纳米技术与精密工程（英文）,2025,8(1):79-93,15.

基金项目

This work is supported by the National Natural Science Foun-dation of China(Grant Nos.62071451,62331025,and U21A20447),the National Key Research and Development Project(Grant No.2021YFC3002204),and the CAMS Innovation Fund for Medical Sciences(Grant No.2019-I2M-5-019). （Grant Nos.62071451,62331025,and U21A20447）

纳米技术与精密工程（英文）

ISSN：1672-6030

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