Dynamic functional connectivity of the default mode network tracks daydreaming
NeuroImage June 25, 2014 DOI: 10.1016/j.neuroimage.2014.06.044 via OpenAlex
Summary
AI-generated from the abstractDaydreaming is linked to how brain networks fluctuate over time, not just their average connectivity. In healthy adults, those who daydreamed more showed less stable connectivity between the posterior cingulate cortex and a part of the default mode network involved in future thinking. However, greater moment-to-moment variability in that same network's connectivity predicted more mind-wandering during a sensory task. The findings suggest that dynamic, rather than static, brain network activity reflects the conscious experience of daydreaming.
Study at a glance
| Characteristics | Observational cohort Peer reviewed |
|---|---|
| Population | Healthy adults |
| Citations | 381 |
| Key finding | Individual differences in daydreaming frequency are negatively correlated with static functional connectivity but positively correlated with dynamic functional connectivity variability within a ventral default mode network subsystem. |
Abstract
Humans spend much of their time engaged in stimulus-independent thoughts, colloquially known as "daydreaming" or "mind-wandering." A fundamental question concerns how awake, spontaneous brain activity represents the ongoing cognition of daydreaming versus unconscious processes characterized as "intrinsic." Since daydreaming involves brief cognitive events that spontaneously fluctuate, we tested the hypothesis that the dynamics of brain network functional connectivity (FC) are linked with daydreaming. We determined the general tendency to daydream in healthy adults based on a daydreaming frequency scale (DDF). Subjects then underwent both resting state functional magnetic resonance imaging (rs-fMRI) and fMRI during sensory stimulation with intermittent thought probes to determine the occurrences of mind-wandering events. Brain regions within the default mode network (DMN), purported to be involved in daydreaming, were assessed for 1) static FC across the entire fMRI scans, and 2) dynamic FC based on FC variability (FCV) across 30s progressively sliding windows of 2s increments within each scan. We found that during both resting and sensory stimulation states, individual differences in DDF were negatively correlated with static FC between the posterior cingulate cortex and a ventral DMN subsystem involved in future-oriented thought. Dynamic FC analysis revealed that DDF was positively correlated with FCV within the same DMN subsystem in the resting state but not during stimulation. However, dynamic but not static FC, in this subsystem, was positively correlated with an individual's degree of self-reported mind-wandering during sensory stimulation. These findings identify temporal aspects of spontaneous DMN activity that reflect conscious and unconscious processes.