| Title | Risk Assessment of Alzheimer's Disease using the Information Diffusion Model from Structural Magnetic Resonance Imaging. |
| Publication Type | Journal Article |
| Year of Publication | 2016 |
| Authors | Beheshti, I, Olya, HGT, Demirel, H |
| Corporate Authors | Alzheimer’s Disease Neuroimaging Initiative |
| Journal | J Alzheimers Dis |
| Volume | 52 |
| Issue | 4 |
| Pagination | 1335-42 |
| Date Published | 2016 Apr 05 |
| ISSN | 1875-8908 |
| Abstract | BACKGROUND: Recently, automatic risk assessment methods have been a target for the detection of Alzheimer's disease (AD) risk. OBJECTIVE: This study aims to develop an automatic computer-aided AD diagnosis technique for risk assessment of AD using information diffusion theory. METHODS: Information diffusion is a fuzzy mathematics logic of set-value that is used for risk assessment of natural phenomena, which attaches fuzziness (uncertainty) and incompleteness. Data were obtained from voxel-based morphometry analysis of structural magnetic resonance imaging. RESULTS AND CONCLUSION: The information diffusion model results revealed that the risk of AD increases with a reduction of the normalized gray matter ratio (p > 0.5, normalized gray matter ratio |
| DOI | 10.3233/JAD-151176 |
| Alternate Journal | J. Alzheimers Dis. |
| PubMed ID | 27060960 |
