Use of population-specific atlases for brain morphometry: benefits in Alzheimer’s Disease diagnosis decision support for Chinese patients
Other conference paper


其它資訊
摘要MCI (Mild Cognitive Impairment) is a pre-stage of Alzheimer’s Disease (AD). And the early detection of MCI is important for early treatment of AD patients. In this work, prediction efficiency of early stage of AD based on the functional connectivity network characteristics was evaluated by using a couple of classifiers with AAL_90 and AAL_1024 templates. The results showed that brain functional characteristics were effective in the prediction of MCI with a SVM-based classifier. And a more fine template could improve prediction accuracy.
著者Bénédicte Maréchal, Peipeng Liang, Lin Shi, Tianyi Qian, Defeng Wang, Tobias Kober, Alexis Roche, and Kuncheng Li
會議名稱ISMRM 25th Annual Meeting & Exhibition
會議開始日22.04.2017
會議完結日27.04.2017
會議地點Honolulu, Hawaii
會議國家/地區美國
出版年份2017
語言英式英語

上次更新時間 2018-20-01 於 18:04