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Granger causal influence predicts BOLD activity levels in the default mode network.

Qing Jiao, Guangming Lu, Zhiqiang Zhang, Yuan Zhong, Zhengge Wang, Yongxin Guo, Kai Li, Mingzhou Ding, Yijun Liu

Human Brain Mapping 2011 DOI: 10.1002/hbm.21065 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Observational fMRI study Peer reviewed
Topics Default mode network
Keywords Nerve net Neurons Humans Magnetic resonance imaging Brain mapping Image processing, computer-assisted Adult Female
Key findings Activity levels across seven default-mode network nodes showed a consistent hierarchy, highest in posterior cingulate/precuneus and lowest in left inferior temporal gyrus. Activity levels correlated significantly with In-Out degrees of Granger causal information flow, suggesting Granger causal influences can predict BOLD activity levels.

Abstract

Although the brain areas in the default-mode network (DMN) act in a coordinated way during rest, the activity levels in the individual areas of the DMN are highly heterogeneous. The relation between the activity levels and the pattern of causal interaction among the DMN areas remains unknown. In the present fMRI study, seven nodes of the DMN were identified and their activity levels were rank-ordered based on a power spectral analysis of the resting blood oxygenation level-dependent (BOLD) signals. Furthermore, the direction of information flow among these DMN nodes was determined using Granger causality analysis and graph-theoretic methods. We found that the activity levels in these seven DMN nodes had a highly consistent hierarchical distribution, with the highest activity level in the posterior cingulate/precuneus cortices, followed by ventral medial prefrontal cortex and dorsal medial prefrontal cortex, and with the lowest level in the left inferior temporal gyrus. Importantly, a significant correlation was found between the activity levels and the In-Out degrees of information flow across the DMN nodes, suggesting that Granger causal influences can be used to predict BOLD activity levels. These findings shed light on the dynamical organization of cortical neuronal networks and may provide the basis for characterizing network disruption by brain disorders.

Comparable studies

Other experimental studies on default mode network, most cited first.

Study Year Design Participants
Functional connectivity of default mode network components: Correlation, anticorrelation, and causality Healthy subjects 2008 Observational study using resting-state fMRI and seed correlation analysis
Patterns of Brain Activity Supporting Autobiographical Memory, Prospection, and Theory of Mind, and Their Relationship to the Default Mode Network Healthy subjects 2009 Experimental study using fMRI
Dynamic reconfiguration of the default mode network during narrative comprehension Human subjects 2016 Experimental study
Broadband Cortical Desynchronization Underlies the Human Psychedelic State Healthy human participants 2013 Experimental study
The brain on art: intense aesthetic experience activates the default mode network Human observers 2012 Observational study with fMRI and behavioral analysis

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