Title
Data-driven identification of intensity normalization region based on longitudinal coherency of F-FDG metabolism in the healthy brain.
Abstract
•A method to differentiate disease-related metabolic changes from age-associated natural changes.•A concept of longitudinal coherency to identify proper age-associated metabolic changes.•A data-driven method to find out optimal intensity normalization enhancing longitudinal coherency.•Normalization using paracentral lobule can best describe age-dependent brain metabolism.•Development on normal subjects and preliminary verification on PD patients.
Year
DOI
Venue
2017
10.1016/j.neuroimage.2016.09.031
NeuroImage
Keywords
Field
DocType
18F-FDG,PET,SMC,PD,AAL,STDN,3D-SSP,PVC
Nuclear medicine,Confounding,Neuroscience,Normalization (statistics),Cognitive psychology,Psychology,Coherence (physics),Positron emission tomography,Cerebellar tonsil,Paracentral lobule
Journal
Volume
ISSN
Citations 
146
1053-8119
1
PageRank 
References 
Authors
0.48
4
11
Name
Order
Citations
PageRank
Huiwei Zhang110.48
Ping Wu221.18
Sibylle I Ziegler3274.59
Yihui Guan410.48
Yuetao Wang510.48
Jingjie Ge610.48
Markus Schwaiger720.85
Sung-Cheng Huang814822.43
Chuantao Zuo912.85
Stefan Förster1020.86
Kuangyu Shi11368.12