title: Identification of individuals with MCI via multimodality connectivity networks.
abstract: Alzheimer's disease (AD), is difficult to diagnose due to the subtlety of cognitive impairment. Recent emergence of reliable network characterization techniques based on diffusion tensor imaging (DTI) and resting-state functional magnetic resonance imaging (rs-fMRI) has made the understanding of neurological disorders at a whole-brain connectivity level possible, providing new avenues for brain classification. Taking a multi-kernel SVM, we attempt to integrate these two imaging modalities for improving classification performance. Our results indicate that the multimodality classification approach performs better than the single modality approach, with statistically significant improvement in accuracy. It was also found that the prefrontal cortex, orbitofrontal cortex, temporal pole, anterior and posterior cingulate gyrus, precuneus, amygdala, thalamus, parahippocampal gyrus and insula regions provided the most discriminant features for classification, in line with the results reported in previous studies. The multimodality classification approach allows more accurate early detection of brain abnormalities with larger sensitivity, and is important for treatment management of potential AD patients.
authors: Department of Radiology and Biomedical Research Imaging Center (BRIC), University of North Carol at Chapel Hill, NC, USA.
authors: Chong-Yaw
authors: CY
authors: Wee
authors: Pew-Thian
authors: PT
authors: Yap
authors: Daoqiang
authors: D
authors: Zhang
authors: Kevin
authors: K
authors: Denny
authors: Lihong
authors: L
authors: Wang
authors: Dinggang
authors: D
authors: Shen
mesh_terms: D000368:Aged; D000465:Algorithms; D001921:Brain / Q000473:pathology*; D001931:Brain Mapping / Q000379:methods; D003072:Cognition Disorders / Q000175:diagnosis* / Q000473:pathology*; D056324:Diffusion Tensor Imaging / Q000379:methods*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D015203:Reproducibility of Results