Mind wandering is an ubiquitous phenomenon in everyday life. In the cognitive neurosciences, mind wandering has been associated with several distinct neural processes, most notably increased activity in the default mode network (DMN), suppressed activity within the anti-correlated (task-positive) network (ACN), and changes in neuromodulation. By using an integrative multimodal approach combining machine-learning techniques with modeling of latent cognitive processes, we show that mind wandering in humans is characterized by inefficiencies in executive control (task-monitoring) processes. This failure is predicted by a single-trial signature of (co)activations in the DMN, ACN, and neuromodulation, and accompanied by a decreased rate of evidence accumulation and response thresholds in the cognitive model.

Item Type:	Refereed Article
Research Division:	Psychology
Research Group:	Cognitive and computational psychology
Research Field:	Decision making
Objective Division:	Expanding Knowledge
Objective Group:	Expanding knowledge
Objective Field:	Expanding knowledge in psychology
UTAS Author:	Heathcote, A (Professor Andrew Heathcote)
ID Code:	98945
Year Published:	2014
Web of Science® Times Cited:	110
Deposited By:	Medicine
Deposited On:	2015-03-10
Last Modified:	2017-11-06
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