Jong-Hwan Lee1,2, Junghoe Kim1,
Yong-Hwan Kim1, Dong-Youl Kim1, Soohyun Ha2
1Brain & Cognitive
Engineering, Korea University, Seoul, Korea, Republic of; 2College
of Information and Communication, Korea University, Seoul, Korea, Republic of
In this study, integration of MRI- and fMRI-driven biomarkers toward early detection of the Alzheimers disease (AD) was addressed, in which three types of feature vectors including (1) volumetric information from MRI, (2) neuronal activity from fMRI, and (3) volumetric information together with neuronal activity were employed as input of a support vector machine classifier.