App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 7

Graph Mamba with sparse fitting for autism spectrum disorder prediction

Yan Hao
Zhu Junwei
School of Computer Science and Technology, Zhejiang University of Technology, Hangzhou 310023, China
DOI: 10.19734/j.issn.1001-3695.2025.11.0476

Abstract

Resting-state functional magnetic resonance imaging (rs-fMRI) was widely employed for predicting Autism Spectrum Disorder (ASD) . To address the challenges of modeling complex inter-regional interactions, gradient vanishing in deep architectures, and insufficient interpretability, a Functional Connectivity (FC) -based Graph Mamba Network with Sparse Fitting was proposed. The model employed a graph encoder to extract temporal features with long-range dependencies and constructed interpretable FC matrices. It introduced a residual mechanism to enhance the hierarchical representation of graph convolutional networks, and it designed a graph sparse fitting combined with a weighted aggregation strategy to mitigate dimensional explosion. Experiments on the ABIDE dataset demonstrated that the method achieved an accuracy of 73.4% under five-fold cross-validation on the AAL atlas, out-performing mainstream approaches. Moreover, the identified potential biomarkers align well with established medical knowledge, providing new insights for ASD clinical diagnosis.

Foundation Support

国家自然科学基金面上项目(62276232)
浙江省高校重大人文社科攻关计划项目(2024GH101)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.11.0476
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 7

Publish History

[2026-03-24] Accepted Paper

Cite This Article

严昊, 朱军伟. 图Mamba与稀疏拟合驱动的自闭症谱系障碍预测 [J]. 计算机应用研究, 2026, 43 (7). (2026-03-24). https://doi.org/10.19734/j.issn.1001-3695.2025.11.0476. (Yan Hao, Zhu Junwei. Graph Mamba with sparse fitting for autism spectrum disorder prediction [J]. Application Research of Computers, 2026, 43 (7). (2026-03-24). https://doi.org/10.19734/j.issn.1001-3695.2025.11.0476. )

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  • Application Research of Computers Monthly Journal
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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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