title: Comparison of regional gray matter atrophy, white matter alteration, and glucose metabolism as a predictor of the conversion to Alzheimer's disease in mild cognitive impairment.
abstract: We compared the predictive ability of the various neuroimaging tools and determined the most cost-effective, non-invasive Alzheimer's disease (AD) prediction model in mild cognitive impairment (MCI) individuals. Thirty-two MCI subjects were evaluated at baseline with [(18)F]-fluorodeoxyglucose positron emission tomography (FDG-PET), MRI, diffusion tensor imaging (DTI), and neuropsychological tests, and then followed up for 2 yr. After a follow up period, 12 MCI subjects converted to AD (MCIc) and 20 did not (MCInc). Of the voxel-based statistical comparisons of baseline neuroimaging data, the MCIc showed reduced cerebral glucose metabolism (CMgl) in the temporo-parietal, posterior cingulate, precuneus, and frontal regions, and gray matter (GM) density in multiple cortical areas including the frontal, temporal and parietal regions compared to the MCInc, whereas regional fractional anisotropy derived from DTI were not significantly different between the two groups. The MCIc also had lower Mini-Mental State Examination (MMSE) score than the MCInc. Through a series of model selection steps, the MMSE combined with CMgl model was selected as a final model (classification accuracy 93.8%). In conclusion, the combination of MMSE with regional CMgl measurement based on FDG-PET is probably the most efficient, non-invasive method to predict AD in MCI individuals after a two-year follow-up period.
authors.affiliation: Department of Psychiatry, SMG-SNU Boramae Medical Center, Seoul, Korea.
authors.forename: Bo Kyung
authors.identifier: 0000-0002-1444-1099
authors.initials: BK
authors.lastname: Sohn
authors.affiliation: Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Korea.
authors.forename: Dahyun
authors.identifier: 0000-0002-0860-0946
authors.initials: D
authors.lastname: Yi
authors.affiliation: The Division of Natural Medical Science, College of Health Service, Chosun University, Gwangju, Korea.
authors.forename: Eun Hyun
authors.identifier: 0000-0002-4764-7464
authors.initials: EH
authors.lastname: Seo
authors.affiliation: Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Korea.
authors.forename: Young Min
authors.identifier: 0000-0002-9263-876X
authors.initials: YM
authors.lastname: Choe
authors.affiliation: Department of Neuropsychiatry, College of Medicine, Hallym University Dongtan Sacred Heart Hospital, Hwaseong, Korea.
authors.forename: Jee Wook
authors.identifier: 0000-0002-9570-4216
authors.initials: JW
authors.lastname: Kim
authors.affiliation: Department of Neuropsychiatry, College of Medicine, Soonchunhyang University Bucheon Hospital, Bucheon, Korea.
authors.forename: Shin Gyeom
authors.identifier: 0000-0001-8196-655X
authors.initials: SG
authors.lastname: Kim
authors.affiliation: Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Korea.
authors.forename: Hyo Jung
authors.identifier: 0000-0001-6613-4237
authors.initials: HJ
authors.lastname: Choi
authors.affiliation: Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Korea.
authors.forename: Min Soo
authors.identifier: 0000-0003-3159-4510
authors.initials: MS
authors.lastname: Byun
authors.affiliation: Department of Psychiatry, Kangwon National University School of Medicine, Chuncheon, Korea.
authors.forename: Jin Hyeong
authors.identifier: 0000-0002-8147-5782
authors.initials: JH
authors.lastname: Jhoo
authors.affiliation: Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Korea. ; Interdisciplinary Program of Cognitive Science, Seoul National University, Seoul, Korea. ; Neuroscience Research Institute of the Medical Research Center, Seoul National University, Seoul, Korea.
authors.forename: Jong Inn
authors.identifier: 0000-0001-6473-0449
authors.initials: JI
authors.lastname: Woo
authors.affiliation: Department of Neuropsychiatry, Seoul National University Hospital, Seoul, Korea. ; Interdisciplinary Program of Cognitive Science, Seoul National University, Seoul, Korea.
authors.forename: Dong Young
authors.identifier: 0000-0001-8976-8320
authors.initials: DY
authors.lastname: Lee
mesh_terms: D000368:Aged; D000544:Alzheimer Disease / Q000150:complications / Q000175:diagnosis*; D001284:Atrophy / Q000473:pathology; D015415:Biomarkers / Q000097:blood; D001921:Brain / Q000473:pathology*; D060825:Cognitive Dysfunction / Q000175:diagnosis* / Q000209:etiology; D056324:Diffusion Tensor Imaging / Q000379:methods; D005260:Female; D005947:Glucose / Q000378:metabolism*; D066128:Gray Matter / Q000473:pathology*; D006801:Humans; D008297:Male; D059906:Neuroimaging / Q000379:methods; D049268:Positron-Emission Tomography / Q000379:methods; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012720:Severity of Illness Index; D066127:White Matter / Q000473:pathology*
chemical_list: D015415:Biomarkers; D005947:Glucose
keywords: Alzheimer Disease; Diffusion Tensor Imaging; FDG-PET; MRI; Mini-Mental State Examination; Prediction