Network assemblies in the functional brain

被引:30
作者
Sepulcre, Jorge [1 ,2 ,3 ]
Sabuncu, Mert R. [3 ,4 ]
Johnson, Keith A. [1 ,2 ,5 ,6 ,7 ]
机构
[1] Massachusetts Gen Hosp, Dept Radiol, Div Nucl Med & Mol Imaging, Cambridge, MA 02138 USA
[2] Harvard Univ, Sch Med, Cambridge, MA 02138 USA
[3] Athinioula A Martinos Ctr Biomed Imaging, Charlestown, MA USA
[4] MIT, Comp Sci & Artificial Intelligence Lab, Cambridge, MA 02139 USA
[5] Brigham & Womens Hosp, Dept Neurol, Ctr Alzheimer Res & Treatment, Boston, MA 02115 USA
[6] Harvard Univ, Sch Med, Boston, MA USA
[7] Massachusetts Gen Hosp, Dept Neurol, Boston, MA 02114 USA
关键词
brain connectome; brain network; functional connectivity; graph theory; neuroimaging; DEFAULT MODE; NEUROCOGNITIVE NETWORKS; CORTICAL CONNECTIONS; CEREBRAL-CORTEX; ORGANIZATION; COGNITION; MRI; HUBS; PRINCIPLES; DISEASE;
D O I
10.1097/WCO.0b013e328355a8e8
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Purpose of review This review focuses on recent advances in functional connectivity MRI and renewed interest in studying the large-scale functional network assemblies in the brain. We also consider some methodological aspects of graph theoretical analysis. Recent findings Recent years have witnessed a rapid increase in the number of studies that apply network science to neuroscience. A major motivation comes from the fields of neurology and psychiatry, where a central goal is the characterization of the functional connectome of the brain under normal and pathological conditions. Recent findings have provided new insights into the pivotal role of network epicenters and specific configurations of large-scale functional networks in the brain. Summary Functional connectivity MRI and corresponding analytical tools continue to reveal novel properties of the functional organization of the brain, which will in turn be key for understanding pathologies in neurology.
引用
收藏
页码:384 / 391
页数:8
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