Parcellating cortical functional networks in individuals

被引:371
作者
Wang, Danhong [1 ,2 ]
Buckner, Randy L. [1 ,2 ,3 ]
Fox, Michael D. [1 ,4 ,5 ]
Holt, Daphne J. [1 ,2 ]
Holmes, Avram J. [2 ,6 ]
Stoecklein, Sophia [1 ,7 ]
Langs, Georg [8 ,9 ]
Pan, Ruiqi [1 ]
Qian, Tianyi [1 ,10 ,11 ]
Li, Kuncheng [12 ]
Baker, Justin T. [2 ,13 ]
Stufflebeam, Steven M. [1 ,14 ]
Wang, Kai [15 ]
Wang, Xiaomin [16 ]
Hong, Bo [10 ]
Liu, Hesheng [1 ,2 ]
机构
[1] Harvard Univ, Sch Med, Massachusetts Gen Hosp, Dept Radiol,Athinoula A Martinos Ctr Biomed Imagi, Charlestown, MA 02129 USA
[2] Harvard Univ, Sch Med, Dept Psychiat, Massachusetts Gen Hosp, Boston, MA 02115 USA
[3] Harvard Univ, Dept Psychol, Ctr Brain Sci, Cambridge, MA 02138 USA
[4] Harvard Univ, Beth Israel Deaconess Med Ctr, Sch Med, Berenson Allen Ctr Noninvas Brain Stimulat,Dept N, Boston, MA 02215 USA
[5] Harvard Univ, Sch Med, Dept Neurol, Massachusetts Gen Hosp, Boston, MA 02115 USA
[6] Yale Univ, Dept Psychol, New Haven, CT 06520 USA
[7] Univ Munich, Inst Clin Radiol, Munich, Germany
[8] Med Univ Vienna, Dept Biomed Imaging & Image Guided Therapy, Computat Imaging Res Lab, Vienna, Austria
[9] MIT, Comp Sci & Artificial Intelligence Lab, Cambridge, MA 02139 USA
[10] Tsinghua Univ, Sch Med, Dept Biomed Engn, Beijing 100084, Peoples R China
[11] Siemens Healthcare, MR Collaborat Nebraska Asia, Beijing, Peoples R China
[12] Capital Med Univ, Xuanwu Hosp, Dept Radiol, Beijing, Peoples R China
[13] McLean Hosp, Psychot Disorders Div, Belmont, MA 02178 USA
[14] Harvard MIT Hlth Sci & Technol, Inst Med Engn & Sci, Cambridge, MA USA
[15] Anhui Med Univ, Affiliated Hosp 1, Dept Neurol, Hefei, Peoples R China
[16] Capital Med Univ, Beijing Inst Brain Disorders, Beijing, Peoples R China
基金
美国国家科学基金会;
关键词
RESTING-STATE FMRI; HUMAN-BRAIN; CONNECTIVITY ARCHITECTURE; INTERSUBJECT VARIABILITY; CEREBRAL-CORTEX; ORGANIZATION; STIMULATION; IDENTIFICATION; ALIGNMENT; SYSTEM;
D O I
10.1038/nn.4164
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
The capacity to identify the unique functional architecture of an individual's brain is a crucial step toward personalized medicine and understanding the neural basis of variation in human cognition and behavior. Here we developed a cortical parcellation approach to accurately map functional organization at the individual level using resting-state functional magnetic resonance imaging (fMRI). A population-based functional atlas and a map of inter-individual variability were employed to guide the iterative search for functional networks in individual subjects. Functional networks mapped by this approach were highly reproducible within subjects and effectively captured the variability across subjects, including individual differences in brain lateralization. The algorithm performed well across different subject populations and data types, including task fMRI data. The approach was then validated by invasive cortical stimulation mapping in surgical patients, suggesting potential for use in clinical applications.
引用
收藏
页码:1853 / 1860
页数:8
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