Paper Info
Title
Brain metabolic connectome classify mild cognitive impairment into Alzheimer’s dementia
Abstract
Identifying whether patients with mild cognitive impairment (MCI) are converting to Alzheimer’s disease (AD) is clinically important, but there are still controversies and doubts. We aimed to develop a novel connectome approach which could accurately and precisely predict whether MCI patients are converted to AD using <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">18</sup> F-fluorodeoxyglucose positron emission tomography (FDG-PET). In our study, FDG-PET images were acquired from 84 patients with MCI who converted to AD within 48 months and 109 patients with MCI without conversion within 48 months from the Alzheimer’s Disease Neuroimaging Initiative database. The experimental results showed that the classification performance about whether an MCI patient would convert to AD were 92.1%, 87.1%, 94.4% and 0.95 (Accuracy, Sensitivity, Specificity and AUC). The abnormality of functional connection was located at Middle frontal gyrus, Posterior cingulate gyrus, Precentral gyrus, Precuneus and Temporal lobe. These finding showed the brain connectome as a practical approach for developing predictive neuroimaging biomarker.
Year
DOI
Venue
2019
10.1109/EMBC.2019.8857104
2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Keywords
Field
DocType
Alzheimer Disease,Brain,Cognitive Dysfunction,Connectome,Disease Progression,Fluorodeoxyglucose F18,Humans,Positron-Emission Tomography
Computer vision,Precuneus,Connectome,Computer science,Biomarker (medicine),Precentral gyrus,Artificial intelligence,Neuroimaging,Audiology,Middle frontal gyrus,Dementia,Temporal lobe
Conference
Volume
ISSN
ISBN
2019
1557-170X
978-1-5386-1312-2
Citations 
PageRank 
References 
0
0.34
4
Authors
3
Name
Order
Citations
PageRank
Min Wang17627.77
Zhuang-zhi Yan2148.28
Jiehui Jiang300.34