| Literature DB >> 20705437 |
Jin Hyeong Jhoo1, Dong Young Lee, Il Han Choo, Eun Hyun Seo, Jungsu S Oh, Jae Sung Lee, Dong Soo Lee, Shin Gyeom Kim, Jong Chul Youn, Ki Woong Kim, Jong Inn Woo.
Abstract
This study aimed to compare the discrimination accuracy of hippocampal volume (HC-Vol), parahippocampal cingulum fractional anisotropy (PHC-FA), hippocampal glucose metabolism (HC-Glu), and any combination of the three measurements among normal control (NC), mild cognitive impairment (MCI), and Alzheimer's disease (AD). Three-dimensional MRI, diffusion tensor imaging, and FDG-PET were applied to age- and gender-matched 17 NC, 17 MCI, and 17 mild AD patients. Subjects also underwent a neuropsychological test battery including three verbal episodic memory tests. Logistic regression analyses were systematically conducted to select the best model for between-group discrimination. PHC-FA plus HC-Vol model, HC-Glu only model, and the model combining all three modalities were finally chosen for NC vs. MCI (discrimination accuracy: 79.4%), MCI vs. AD (73.5%), and NC vs. AD discrimination (94.1%), respectively. All the three imaging measures also showed significant correlation with all three episodic memory tests. These findings support that each imaging measure, respectively, and their combination have a stage-specific potential as a useful neuroimaging marker for detection and progression monitoring of early stage of AD.Entities:
Mesh:
Year: 2010 PMID: 20705437 DOI: 10.1016/j.pscychresns.2010.03.006
Source DB: PubMed Journal: Psychiatry Res ISSN: 0165-1781 Impact factor: 3.222