Early Detection of Cognitive Impairment Using fNIRS and Machine Learning: Insights from the Clock Drawing Test
Combining fNIRS and machine learning enhances early detection of cognitive impairment, particularly MCI, with improved accuracy and clinical insights into neural mechanisms underlying cognitive decline.
Authors
- Fuxin Zhong (ORCID: https://orcid.org/0000-0001-8370-6639)
- Ming Chen (ORCID: https://orcid.org/0000-0001-9869-4036)
- Wei Zhang (ORCID: https://orcid.org/0000-0001-7800-3189)
- Kang Li (ORCID: https://orcid.org/0000-0003-0355-4255)
- Weihua Yu
- Yang Lü
- Zekung Jiang
Institutions
- Sichuan University (CN)
- West China Hospital of Sichuan University (CN)
- The Affiliated Yongchuan Hospital of Chongqing Medical University (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70856_101852
- Primary Topic
- Optical Imaging and Spectroscopy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00