Identification and cognitive function prediction of Alzheimer's disease based on multivariate pattern analysis of hippocampal volumes
The machine learning methods based on the bilateral hippocampi distinguished across the AD severity spectrum and predicted the baseline and the longitudinal cognitive function with greater accuracy.
Authors
- Yongqiang Yu (ORCID: https://orcid.org/0000-0001-8977-2215)
- Ziwen Gao
- Yuqing Li (ORCID: https://orcid.org/0000-0003-1211-5529)
- Xiaohu Li (ORCID: https://orcid.org/0000-0001-8248-0885)
- Shanshan Zhou (ORCID: https://orcid.org/0000-0003-1689-0266)
- Wanqiu Zhu
- Xiaoshu Li (ORCID: https://orcid.org/0009-0004-9109-7385)
- Xiao Cheng (ORCID: https://orcid.org/0000-0003-3372-4008)
- Wei Ye
Institutions
- Anhui Medical University (CN)
- First Affiliated Hospital of Anhui Medical University (CN)
Publication Details
- Journal
- Journal of Alzheimer s Disease
- Published
- 2024-11-25
- DOI
- https://doi.org/10.1177/13872877241296130
- Citations
- 1
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.39
Funders
- National Natural Science Foundation of China