Abstract
An important characteristic of spontaneous brain activity is the anticorrelation between the core default network (cDN) and the dorsal attention network (DAN) and the salience network (SN). This anticorrelation may constitute a key aspect of functional anatomy and is implicated in several brain disorders. We used dynamic causal modeling to assess the hypothesis that a causal hierarchy underlies this anticorrelation structure, using resting-state fMRI of healthy adolescent and young adults (N = 404). Our analysis revealed an asymmetric effective connectivity, such that the regions in the SN and DAN exerted an inhibitory influence on the cDN regions; whereas the cDN exerted an excitatory influence on the SN and DAN regions. The relative strength of efferent versus afferent connections places the SN at the apex of the hierarchy, suggesting that the SN modulates anticorrelated networks with descending hierarchical connections. In short, this study of directed neuronal coupling reveals a causal hierarchical architecture that generates or orchestrates anticorrelation of brain activity. These new findings shed light on functional integration of intrinsic brain networks at rest and speak to future dynamic causal modeling studies of large-scale networks.
Highlights
The brain is organized into multiple distributed systems
Our analysis revealed an asymmetric effective connectivity, such that the regions in the salience network (SN) and dorsal attention network (DAN) exerted an inhibitory influence on the core default network (cDN) regions; whereas the cDN exerted an excitatory influence on The hierarchy score monotonically decreased from (the SN) and DAN regions
The effective connectivity matrix revealed the following main results: (1) regions belonging to the same network grouped together; (2) The connections originating from regions that belong to the salience and the DANs—and terminating in the cDN—were all negative, suggesting that these 2 networks
Summary
Intrinsic Hierarchies in the Brain Zhou et al | 727 attention network (DAN) and the salience network (SN) (Fox et al 2005; Fransson 2005; Smith et al 2009; Andrews-Hanna et al 2014; Raichle 2015). Data preprocessing might introduce spurious anticorrelation (Murphy et al 2009; Murphy and Fox 2016), the core subsystem of DN (cDN) shows reproducible negative correlations with the dorsal attention and SNs (Chen et al 2017; Dixon et al 2017). The anticorrelation between the cDN and the dorsal attention and SNs may reflect a key aspect of functional integration of the brain. The communication and coordination between these intrinsic, anticorrelated networks are considered crucial for information integration and cognitive functioning (Williamson 2007; Jiang 2013)
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