Common variants contribute to intrinsic human brain functional networks
Bingxin Zhao(University of North Carolina at Chapel Hill), Hongtu Zhu(University of North Carolina at Chapel Hill), Jason L. Stein(University of Southern California), John F. Fullard(Broad Institute), Mads E. Hauberg(Aarhus University), Quan Sun(University of North Carolina at Chapel Hill), Jaroslav Bendl(Allen Institute for Brain Science), Stephen M. Smith(University of Oxford), Ziliang Zhu(University of North Carolina at Chapel Hill), Nana Matoba(University of North Carolina at Chapel Hill), Yun Li(Shanghai University of Traditional Chinese Medicine), Tengfei Li(United States Food and Drug Administration), Yue Yang(University of North Carolina at Chapel Hill), Xifeng Wang(University of North Carolina at Chapel Hill), Tianyou Luo(University of North Carolina at Chapel Hill), Yue Shan(University of North Carolina at Chapel Hill), Di Xiong(University of North Carolina at Chapel Hill), Weili Lin(The Second Affiliated Hospital of Xiamen Medical College), Panagiotis Roussos(Allen Institute for Brain Science), Yuchen Yang(University of North Carolina at Chapel Hill)
Cited by 148
Related Papers
Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data
|NeuroImage|2006|6.6k
Consistent resting-state networks across healthy subjects
|Proceedings of the National Academy of Sciences|2006|4.4k
Identification of common genetic risk variants for autism spectrum disorder
|Nature Genetics|2019|2.6k
Non-invasive mapping of connections between human thalamus and cortex using diffusion imaging
|Nature Neuroscience|2003|2.4k
Discovery of the first genome-wide significant risk loci for attention deficit/hyperactivity disorder
|Nature Genetics|2018|2.3k