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A spatiotemporal hypergraph self-attention neural networks framework for the identification and pharmacological efficacy assessment of Parkinson’s disease motor symptoms

Crossref DOI link: https://doi.org/10.1038/s41531-025-01187-6

Published Online: 2025-11-26

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

An, Xiaochen

Su, Lu

Yang, Qi

Shen, Bo

Gan, Linhua

jun Ji, Jia

Wang, Jian

Su, Haifeng
Funding

Funding for this research was provided by:

Youth fund of National Natural Science Foundation of China (82201406)

National Natural Science Foundation of China (82171421, 82371432, 92249302)

National Health Commission of China (Pro20211231084249000238)

National Science and Technology Innovation 2030 Major Program (2025ZD0217201)
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Text and Data Mining valid from 2025-11-26

Version of Record valid from 2025-11-26
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Article History

Received: 14 July 2025

Accepted: 21 October 2025

First Online: 26 November 2025

Competing interests

: The authors declare no competing interests.

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