Large-scale brain networks in affective and social neuroscience: towards an integrative functional architecture of the brain

被引:432
作者
Barrett, Lisa Feldman [1 ]
Satpute, Ajay Bhaskar [2 ]
机构
[1] Harvard Univ, Sch Med, Northeastern Univ, Massachusetts Gen Hosp, Cambridge, MA 02138 USA
[2] Northeastern Univ, Boston, MA USA
关键词
DEFAULT-MODE NETWORK; MEDIAL PREFRONTAL CORTEX; RIGHT ANTERIOR INSULA; OLD-WORLD MONKEY; NEURAL SYSTEMS; STRUCTURAL CONNECTIVITY; ACTION IDENTIFICATION; NEUROIMAGING DATA; MIRROR NEURONS; WORKING-MEMORY;
D O I
10.1016/j.conb.2012.12.012
中图分类号
Q189 [神经科学];
学科分类号
071006 [神经生物学];
摘要
Understanding how a human brain creates a human mind ultimately depends on mapping psychological categories and concepts to physical measurements of neural response. Although it has long been assumed that emotional, social, and cognitive phenomena are realized in the operations of separate brain regions or brain networks, we demonstrate that it is possible to understand the body of neuroimaging evidence using a framework that relies on domain general, distributed structure function mappings. We review current research in affective and social neuroscience and argue that the emerging science of large-scale intrinsic brain networks provides a coherent framework for a domain-general functional architecture of the human brain.
引用
收藏
页码:361 / 372
页数:12
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