Identifying the default mode network structure using dynamic causal modeling on resting-state functional magnetic resonance imaging

Abstract

The default mode network is part of the brain structure that shows higher neural activity and energy consumption when one is at rest. The key regions in the default mode network are highly interconnected as conveyed by both the white matter fiber tracing and the synchrony of resting-state functional magnetic resonance imaging signals. However, the causal information flow within the default mode network is still poorly understood. The current study used the dynamic causal modeling on resting-state fMRI dataset to identify the network structure underlying the default mode network. The endogenous brain fluctuations were explicitly modeled by Fourier series at the low frequency band of 0.01–0.08 Hz, and those Fourier series were set as driving inputs of the DCM models. Model comparison procedures favored a model that the MPFC sends information to the PCC and the bilateral inferior parietal lobule sends information to both the PCC and MPFC. Further analyses provide evidence that the endogenous connectivity might be higher in the right hemisphere than in the left hemisphere. These data provided insight on the functions of each node in the DMN, and also validate the usage of DCM on resting-state fMRI data.

Beyond emotions: A meta-analysis of neural response within face processing system in social anxiety

“…96,97 In particular, ROI selection is a relevant issue in SAD since this approach is widely used in the study of this psychopathological condition (e.g. Straube et al 12 and Straube et al…”

Dreaming and the default network: A review, synthesis, and counterintuitive research proposal

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