Attention-based Transformer-LSTM architecture for early diagnosis and staging of early-stage Parkinson’s disease using fNIRS data
ATLAS-PD provides an objective, non-invasive tool for early PD diagnosis and staging in H&Y stages 1-2. The inclusion of complementary tasks and statistical validations enhances its clinical applicability. Future studies should validate the model's performance in more advanced PD stages to enhance clinical applicability.
Authors
- Congxiao Wang (ORCID: https://orcid.org/0000-0002-0480-3762)
- Hujun Wang (ORCID: https://orcid.org/0000-0002-4075-3758)
- Shuyan Qie (ORCID: https://orcid.org/0000-0003-0787-8986)
- Hanming Wang (ORCID: https://orcid.org/0000-0002-9557-129X)
- Nan Li (ORCID: https://orcid.org/0000-0002-7027-0933)
- Huan Wang (ORCID: https://orcid.org/0009-0005-6417-6552)
Institutions
- Capital Medical University (CN)
- China Rehabilitation Research Center (CN)
Publication Details
- Journal
- Frontiers in Aging Neuroscience
- Published
- 2025-10-10
- DOI
- https://doi.org/10.3389/fnagi.2025.1677722
- Citations
- 1
- Primary Topic
- Parkinson's Disease Mechanisms and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.39
Funders
- Capital Medical University