Contains 210 cortical, 36 subcortical subregions and information on both anatomical and functional connections. Brainnetome Atlas provides not only fine-grained subregions based on structural connectivity patterns but complements these by detailed functional connectivity patterns for each area. It will facilitate investigations of structure-function relationships, comparative neuroanatomical studies, and promises new biomarkers for diagnosis and clinical studies.
Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing, China; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China; CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China; Key Laboratory for NeuroInformation of the Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China; The Queensland Brain Institute, University of Queensland, Brisbane, Australia; Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China; Research Imaging Institute, University of Texas Health Science Center, San Antonio, TX, USA; Institute of Neuroscience and Medicine (INM-1), Research Centre Juelich, Juelich, Germany; Institute for Clinical Neuroscience and Medical Psychology, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany; Department of Physics, Florida International University, Miami, FL, USA
Brainnetome Atlas funding source(s)
Supported by the National Key Basic Research and Development Program (973) (Grant No. 2011CB707801 and 2012CB720702), the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant No. XDB02030300), the Natural Science Foundation of China (Grant Nos. 91432302, 91132301, 81501179, and 81270020), the Deutsche Forschungsgemeinschaft (DFG, EI 816/4-1; EI 816/6-1), the National Institute of Mental Health (R01-MH074457) and the Helmholtz Portfolio Theme “Supercomputing and Modeling for the Human Brain” and the European Union Seventh Framework Programme (FP7/2007- 2013) under grant agreement no. 604102 (Human Brain Project), and Open Project Funding of National Key Laboratory of Cognitive Neuroscience and Learning-Beijing Normal University (Grant CNLYB1410).