Paper Info
Title
Statistical testing and power analysis for brain-wide association study.
Abstract
•We propose a novel statistical framework for brain-wide association study.•Random field theory is developed to control the false-positive rate for connectivity-wise significance testing and conduct theoretical power analysis.•Extensive simulation and real data analysis is performed to validate our method.
Year
DOI
Venue
2018
10.1016/j.media.2018.03.014
Medical Image Analysis
Keywords
Field
DocType
Brain-wide association study,Random field theory,Functional connectivity,Statistical power
Voxel,Autism,False positive rate,Connectome,Computer science,Permutation,Genome-wide association study,Bioinformatics,Statistical hypothesis testing,Computational complexity theory
Journal
Volume
ISSN
Citations 
47
1361-8415
2
PageRank 
References 
Authors
0.37
12
8
Name
Order
Citations
PageRank
Weikang Gong140.82
Lin Wan220.71
Wenlian Lu337025.19
Liang Ma451.84
fan cheng5867.25
Wei Cheng621.05
Stefan Grünewald7102.07
Jianfeng Feng864688.67