Abstract

Mind wandering reflects the shift in attentional focus from task-related cognition driven by external stimuli toward self-generated and internally-oriented thought processes. Although such task-unrelated thoughts (TUTs) are pervasive and detrimental to task performance, their underlying neural mechanisms are only modestly understood. To investigate TUTs with high spatial and temporal precision, we simultaneously measured fMRI, EEG, and pupillometry in healthy adults while they performed a sustained attention task with experience sampling probes. Features of interest were extracted from each modality at the single-trial level and fed to a support vector machine that was trained on the probe responses. Compared to task-focused attention, the neural signature of TUTs was characterized by weaker activity in the default mode network but elevated activity in its anticorrelated network, stronger functional coupling between these networks, widespread increase in alpha, theta, delta, but not beta, frequency power, predominantly reduced amplitudes of late, but not early, event-related potentials, and larger baseline pupil size. Particularly, information contained in dynamic interactions between large-scale cortical networks was predictive of transient changes in attentional focus above other modalities. Together, our results provide insight into the spatiotemporal dynamics of TUTs and the neural markers that may facilitate their detection.

Highlights

  • Humans pervasively engage in shifting attentional focus from demands in the environment toward self-generated, task-unrelated trains of thought (TUTs), leading to performance errors during tasks that require sustained vigilance (Smallwood and Schooler, 2015)

  • During the sustained attention to response task (SART), participants indicated on 42.6% of total thought probes that their attention was focused on internal trains of thought rather than on the task or external distractions

  • The optimized support vector machines (SVM)-radial basis functions (RBF) performed single-trial classification with a mean accuracy of 65% (F1 = 0.51, 57% recall and 54% precision) based on a set of 74 features (36.1% of total), indicating an above chance-level ability to predict the incidence of TUT episodes

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Summary

Introduction

Humans pervasively engage in shifting attentional focus from demands in the environment toward self-generated, task-unrelated trains of thought (TUTs), leading to performance errors during tasks that require sustained vigilance (Smallwood and Schooler, 2015). Converging evidence from functional magnetic resonance imaging (fMRI) studies indicates an association between activity in areas in the default mode network (DMN) and mind wandering (Mason et al, 2007; Christoff et al, 2009) These areas behave antagonistically with a taskpositive, or anticorrelated network (ACN) that generally constitutes regions of frontoparietal control (FPCN) and dorsal attention (DAN) networks (Fox et al, 2005; Mittner et al, 2014). In a recent study, Turnbull et al (2019a) demonstrated the involvement of DAN and ventral attention network (VAN) systems in regulating TUTs, whereas activity in the posterior cingulate cortex (PCC), a central node of the DMN, was related to detailed ongoing thought during working memory performance Together, these findings highlight the complexity of neural patterns during mind wandering and negate the notion of a single task-negative system represented by the DMN

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