Parcellating cortical functional networks in individuals

• Published in: Nature neuroscience Vol. 18; no. 12; pp. 1853 - 1860
• Main Authors: Wang, Danhong, Buckner, Randy L, Fox, Michael D, Holt, Daphne J, Holmes, Avram J, Stoecklein, Sophia, Langs, Georg, Pan, Ruiqi, Qian, Tianyi, Li, Kuncheng, Baker, Justin T, Stufflebeam, Steven M, Wang, Kai, Wang, Xiaomin, Hong, Bo, Liu, Hesheng
• Format: Journal Article
• Language: English
• Published: New York Nature Publishing Group US 01.12.2015; Nature Publishing Group
• Subjects: 59/36; 631/378; 631/477; 631/553; Adolescent; Adult; Animal Genetics and Genomics; Behavioral Sciences; Biological Techniques; Biomedicine; Brain mapping; Brain Mapping - methods; Cerebral Cortex - physiology; Female; Hospitals; Humans; Magnetic Resonance Imaging - methods; Male; Medical examination; Medical imaging; Medical schools; Methods; Middle Aged; Nerve Net - physiology; Neural circuitry; Neurobiology; Neuroimaging; Neurology; Neurosciences; Observations; Precision medicine; Prefrontal cortex; technical-report; Young Adult; Beijing China; United States > US; China; Massachusetts
• ISSN: 1097-6256; 1546-1726
• DOI: 10.1038/nn.4164

A cortical parcellation technique accurately maps functional organization in individual brains. Functional networks mapped by this approach are highly reproducible and effectively capture individual variability. The algorithm performs well across different populations and data types and is validated...