Structural covariance networks across the life span, from 6 to 94 years of age [0.03%]
从6岁到94岁的生命周期中的结构协变网络
Elizabeth DuPre,R Nathan Spreng
Elizabeth DuPre
Structural covariance examines covariation of gray matter morphology between brain regions and across individuals. Despite significant interest in the influence of age on structural covariance patterns, no study to date has provided a compl...
Consistency of Regions of Interest as nodes of fMRI functional brain networks [0.03%]
功能磁共振脑网络中ROI节点的连通性一致性研究
Onerva Korhonen,Heini Saarimäki,Enrico Glerean et al.
Onerva Korhonen et al.
The functional network approach, where fMRI BOLD time series are mapped to networks depicting functional relationships between brain areas, has opened new insights into the function of the human brain. In this approach, the choice of networ...
Functional coupling networks inferred from prefrontal cortex activity show experience-related effective plasticity [0.03%]
基于前额叶活动推断的功能耦合网络表现出与经验相关的有效可塑性
Gaia Tavoni,Ulisse Ferrari,Francesco P Battaglia et al.
Gaia Tavoni et al.
Functional coupling networks are widely used to characterize collective patterns of activity in neural populations. Here, we ask whether functional couplings reflect the subtle changes, such as in physiological interactions, believed to tak...
Felix Z Hoffmann,Jochen Triesch
Felix Z Hoffmann
Overrepresentation of bidirectional connections in local cortical networks has been repeatedly reported and is a focus of the ongoing discussion of nonrandom connectivity. Here we show in a brief mathematical analysis that in a network in w...
Olaf Sporns
Olaf Sporns
Understanding the brain represents one of the most profound and pressing scientific challenges of the 21st century. As brain data have increased in volume and complexity, the tools and methods of network science have become indispensable fo...
Genevieve Konopka
Genevieve Konopka
Correlations of genetic variation in DNA with functional brain activity have already provided a starting point for delving into human cognitive mechanisms. However, these analyses do not provide the specific genes driving the associations, ...
Javier Rasero,Mario Pellicoro,Leonardo Angelini et al.
Javier Rasero et al.
A novel approach rooted on the notion of consensus clustering, a strategy developed for community detection in complex networks, is proposed to cope with the heterogeneity that characterizes connectivity matrices in health and disease. The ...
Karl J Friston,Thomas Parr,Bert de Vries
Karl J Friston
This paper considers functional integration in the brain from a computational perspective. We ask what sort of neuronal message passing is mandated by active inference-and what implications this has for context-sensitive connectivity at mic...
Adeel Razi,Mohamed L Seghier,Yuan Zhou et al.
Adeel Razi et al.
This paper considers the identification of large directed graphs for resting-state brain networks based on biophysical models of distributed neuronal activity, that is, effective connectivity. This identification can be contrasted with func...