Connecting the Dots with Deep Learning: A Graph‐Based Approach of Alzheimer's Conversion Prediction
The proposed method provides region-specific insights, that is it allows for the identification of specific brain regions that are crucial in predicting MCI conversion. It also opens the doors for network analysis of the connections between regions and provides valuable information about the underlying networks involved in MCI conversion. Furthermore, the method also gives promising results and is more generalizable.
Authors
- Nishant Kumar Rana
- Hardeo Kumar Thakur (ORCID: https://orcid.org/0000-0002-2954-1308)
- Arush Jasuja (ORCID: https://orcid.org/0000-0002-5687-0318)
- Vishal Deshwal (ORCID: https://orcid.org/0000-0001-8611-660X)
- Harsh Bhasin (ORCID: https://orcid.org/0000-0001-8151-0501)
- Anupama Singh
Institutions
- Indian National Science Academy (IN)
- Bennett University (IN)
- New York University (US)
- Western Sydney University (AU)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70856_096798
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00