共 50 条
Multiscale communication in cortico-cortical networks
被引:28
|作者:
Bazinet, Vincent
[1
]
de Wael, Reinder Vos
[1
]
Hagmann, Patric
[2
]
Bernhardt, Boris C.
[1
]
Misic, Bratislav
[1
]
机构:
[1] McGill Univ, McConnell Brain Imaging Ctr, Montreal Neurol Inst, Montreal, PQ, Canada
[2] Lausanne Univ Hosp CHUV UNIL, Dept Radiol, Lausanne, Switzerland
来源:
基金:
加拿大自然科学与工程研究理事会;
关键词:
Brain networks;
Connectome;
Structure-function;
Hierarchy;
Network communication;
HUMAN CEREBRAL-CORTEX;
FUNCTIONAL CONNECTIVITY;
HUMAN CONNECTOME;
BRAIN NETWORKS;
ORGANIZATION;
DISTANCE;
HUBS;
GRADIENTS;
CENTRALITY;
DYNAMICS;
D O I:
10.1016/j.neuroimage.2021.118546
中图分类号:
Q189 [神经科学];
学科分类号:
071006 ;
摘要:
Signaling in brain networks unfolds over multiple topological scales. Areas may exchange information over local circuits, encompassing direct neighbours and areas with similar functions, or over global circuits, encompassing distant neighbours with dissimilar functions. Here we study how the organization of cortico-cortical networks mediate localized and global communication by parametrically tuning the range at which signals are trans-mitted on the white matter connectome. We show that brain regions vary in their preferred communication scale. By investigating the propensity for brain areas to communicate with their neighbors across multiple scales, we naturally reveal their functional diversity: unimodal regions show preference for local communication and multimodal regions show preferences for global communication. We show that these preferences manifest as region-and scale-specific structure-function coupling. Namely, the functional connectivity of unimodal regions emerges from monosynaptic communication in small-scale circuits, while the functional connectivity of trans -modal regions emerges from polysynaptic communication in large-scale circuits. Altogether, the present findings reveal that communication preferences are highly heterogeneous across the cortex, shaping regional differences in structure-function coupling.
引用
收藏
页数:15
相关论文