@inproceedings{076d0dad52eb48ffbe4bd03a186746cd,
title = "MHSA: A Multi-scale Hypergraph Network for Mild Cognitive Impairment Detection via Synchronous and Attentive Fusion",
abstract = "The precise detection of mild cognitive impairment (MCI) is of significant importance in preventing the deterioration of patients in a timely manner. Although hypergraphs have enhanced performance by learning and analyzing brain networks, they often only depend on vector distances between features at a single scale to infer interactions. In this paper, we deal with a more arduous challenge, hypergraph modelling with synchronization between brain regions, and design a novel framework, i.e., A Multi-scale Hypergraph Network for MCI Detection via Synchronous and Attentive Fusion (MHSA), to tackle this challenge. Specifically, our approach employs the Phase-Locking Value (PLV) to calculate the phase synchronization relationship in the spectrum domain of regions of interest (ROIs) and designs a multi-scale feature fusion mechanism to integrate dynamic connectivity features of functional magnetic resonance imaging (fMRI) from both the temporal and spectrum domains. To evaluate and op-timize the direct contribution of each ROI to phase synchronization in the temporal domain, we structure the PLV coefficients dynamically adjust strategy, and the dynamic hypergraph is modelled based on a comprehensive temporal-spectrum fusion matrix. Experiments on the real-world dataset indicate the effectiveness of our strategy. The code is available at https://github.com/Jia-Weiming/MHSA.",
keywords = "Brain networks, Hyper-graphs, Mild cognitive impairment, Multi-scale feature fusion, Phase-Locking Value",
author = "Manman Yuan and Weiming Jia and Xiong Luo and Jiazhen Ye and Peican Zhu and Junlin Li",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024 ; Conference date: 03-12-2024 Through 06-12-2024",
year = "2024",
doi = "10.1109/BIBM62325.2024.10822410",
language = "英语",
series = "Proceedings - 2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2808--2815",
editor = "Mario Cannataro and Huiru Zheng and Lin Gao and Jianlin Cheng and {de Miranda}, {Joao Luis} and Ester Zumpano and Xiaohua Hu and Young-Rae Cho and Taesung Park",
booktitle = "Proceedings - 2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024",
}