Functional Connectivity between Anatomically Unconnected Areas Is Shaped by Collective Network-Level Effects in the Macaque Cortex

被引:162
作者
Adachi, Yusuke [1 ]
Osada, Takahiro [1 ]
Sporns, Olaf [2 ]
Watanabe, Takamitsu [1 ]
Matsui, Teppei [1 ,3 ]
Miyamoto, Kentaro [1 ]
Miyashita, Yasushi [1 ,3 ]
机构
[1] Univ Tokyo, Sch Med, Dept Physiol, Bunkyo Ku, Tokyo 1130033, Japan
[2] Indiana Univ, Dept Psychol & Brain Sci, Bloomington, IN 47405 USA
[3] Univ Tokyo, Sch Sci, Dept Phys, Bunkyo Ku, Tokyo 1130033, Japan
基金
日本学术振兴会;
关键词
anatomical connectivity; computational model; fMRI; functional connectivity; network; BRAIN NETWORKS; ORGANIZATION; HUBS;
D O I
10.1093/cercor/bhr234
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Coherent spontaneous blood oxygen level-dependent (BOLD) fluctuations have been intensely investigated as a measure of functional connectivity (FC) in the primate neocortex. BOLD-FC is commonly assumed to be constrained by the underlying anatomical connectivity (AC); however, cortical area pairs with no direct AC can also have strong BOLD-FC. On the mechanism generating FC in the absence of direct AC, there are 2 possibilities: 1) FC is determined by signal flows via short connection patterns, such as serial relays and common afferents mediated by a third area; 2) FC is shaped by collective effects governed by network properties of the cortex. In this study, we conducted functional magnetic resonance imaging in anesthetized macaque monkeys and found that BOLD-FC between unconnected areas depends less on serial relays through a third area than on common afferents and, unexpectedly, common efferents, which does not match the first possibility. By utilizing a computational model for interareal BOLD-FC network, we show that the empirically detected AC-FC relationships reflect the configuration of network building blocks (motifs) in the cortical anatomical network, which supports the second possibility. Our findings indicate that FC is not determined solely by interareal short connection patterns but instead is substantially influenced by the network-level cortical architecture.
引用
收藏
页码:1586 / 1592
页数:7
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