Metacognitive Facilitation of Spontaneous Thought Processes: When Metacognition Helps the Wandering Mind Find Its Way

Although mind wandering occupies a large proportion of our waking life, its neural basis and relation to ongoing behavior remain controversial. We report an fMRI study that used experience sampling to provide an online measure of mind wandering during a concurrent task. Analyses focused on the interval of time immediately preceding experience sampling probes demonstrate activation of default network regions during mind wandering, a finding consistent with theoretical accounts of default network functions. Activation in medial prefrontal default network regions was observed both in association with subjective self-reports of mind wandering and an independent behavioral measure (performance errors on the concurrent task). In addition to default network activation, mind wandering was associated with executive network recruitment, a finding predicted by behavioral theories of off-task thought and its relation to executive resources. Finally, neural recruitment in both default and executive network regions was strongest when subjects were unaware of their own mind wandering, suggesting that mind wandering is most pronounced when it lacks meta-awareness. The observed parallel recruitment of executive and default network regions--two brain systems that so far have been assumed to work in opposition--suggests that mind wandering may evoke a unique mental state that may allow otherwise opposing networks to work in cooperation. The ability of this study to reveal a number of crucial aspects of the neural recruitment associated with mind wandering underscores the value of combining subjective self-reports with online measures of brain function for advancing our understanding of the neurophenomenology of subjective experience.

The nature of mind wandering during reading varies with the cognitive control demands of the reading strategy

Meditation practice entails moments of distraction dominated by self-generated thoughts (i.e. mind wandering). Initial studies assessing the neural correlates of mind wandering in the context of meditation practice have identified an important role of theta (4-8Hz) and alpha (8-14Hz) neural oscillations. In this study, we use a probe-caught experience sampling paradigm to assess spectral changes in the theta-alpha frequency range during mind wandering in the context of breath focus meditation. Electroencephalography (EEG) was measured in 25 novice meditation practitioners during a breath focus task in which they were repeatedly probed to report whether they were focusing on their breath or thinking about something else. Mind wandering episodes were associated with an increase in the amplitude and a decrease in the frequency of theta (4-8Hz) oscillations. Conversely, alpha oscillations (8-14Hz) were shown to decrease in amplitude and increase in frequency during mind wandering relative to breath focus. In addition, mind wandering episodes were shown to be accompanied by increased harmonicity and phase synchrony between alpha and theta rhythms. Because similar spectral changes in the theta-alpha frequency range have been reported during controlled cognitive processes involving memory and executive control, we speculate that mind wandering and controlled processes could share some neurocognitive mechanisms. From a translational perspective, this study indicates that oscillatory activity in the theta-alpha frequency range could form adequate parameters for developing EEG-neurofeedback protocols aimed at facilitating the detection of mind wandering during meditation practice.

Mind wandering, occupying 30-50% of our waking time, remains an enigmatic phenomenon in cognitive neuroscience. A large number of studies showed a negative association between mind wandering and attention-demanding (model-based) tasks in both natural settings and laboratory conditions. Mind wandering, however, does not seem to be detrimental for all cognitive domains and was observed to benefit creativity and problem-solving. We examined if mind wandering may facilitate model-free processes, such as probabilistic learning, which relies on the automatic acquisition of statistical regularities with minimal attentional demands. We administered a well-established implicit probabilistic learning task combined with thought probes in healthy adults (N = 37, 30 females). To explore the neural correlates of mind wandering and probabilistic learning, participants were fitted with high-density electroencephalography. Our findings indicate that probabilistic learning was not only immune to periods of mind wandering but was positively associated with it. Spontaneous, as opposed to deliberate mind wandering, was particularly beneficial for extracting the probabilistic patterns hidden in the visual stream. Cortical oscillatory activity in the low-frequency (slow and delta) range, indicative of covert sleep-like states, was associated with both mind wandering and improved probabilistic learning, particularly in the early stages of the task. Given the importance of probabilistic implicit learning in predictive processing, our findings provide novel insights into the potential cognitive benefits of task-unrelated thoughts in addition to shedding light on its neural mechanisms.

Neural correlates of mind wanderingThe ability to detect mind wandering as it occurs is an important step towards improving our understanding of this phenomenon and studying its effects on learning and performance. Current detection methods typically rely on observable behaviour in laboratory settings, which do not capture the underlying neural processes and may not translate well into real-world settings. We address both of these issues by recording electroencephalography (EEG) simultaneously from 15 participants during live lectures on research in orthopedic surgery. We performed traditional group-level analysis and found neural correlates of mind wandering during live lectures that are similar to those found in some laboratory studies, including a decrease in occipitoparietal alpha power and frontal, temporal, and occipital beta power. However, individual-level analysis of these same data revealed that patterns of brain activity associated with mind wandering were more broadly distributed and highly individualized than revealed in the group-level analysis.Mind wandering detectionTo apply these findings to mind wandering detection, we used a data-driven method known as common spatial patterns to discover scalp topologies for each individual that reflects their differences in brain activity when mind wandering versus attending to lectures. This approach avoids reliance on known neural correlates primarily established through group-level statistics. Using this method for individual-level machine learning of mind wandering from EEG, we were able to achieve an average detection accuracy of 80–83%.ConclusionsModelling mind wandering at the individual level may reveal important details about its neural correlates that are not reflected when using traditional observational and statistical methods. Using machine learning techniques for this purpose can provide new insight into the varieties of neural activity involved in mind wandering, while also enabling real-time detection of mind wandering in naturalistic settings.

Mind wandering is typically characterized as a failure of attentional control, yet despite age-related executive function deficits, older adults typically report less mind wandering than younger adults during cognitive tasks and in daily life. Self-reported mind wandering episodes usually result in similar behavioral detriments in younger and older adults (e.g., greater RT variability, more task errors). However, the relatively few studies investigating the neural correlates of mind wandering and aging have revealed mixed findings, possibly because they typically rely on infrequent thought probes and, therefore, few trials for neural analyses. In the current study, we propose a method to recover more task data by categorizing trials from a commonly used sustained attention to response task according to RT variability. Behavioral data (n = 49 younger; n = 40 older) revealed that compared with younger adults, older adults reported fewer mind wandering episodes, but showed similar behavioral impacts thereof. Furthermore, in both age groups, subjective reports of mind wandering predicted the more objective sorting of trials into "on-" and "off-task" according to RT variability. Using these objectively sorted trials, we investigated two commonly reported EEG measures of mind wandering (diminished P1 and P3 amplitude) in 26 younger and 24 older adults. Although the P1 did not differ between on- and off-task trials for either group, the P3 was diminished for off-task trials in both age groups (albeit significantly less in older adults) suggesting preserved perceptual but reduced higher-order processing during off-task periods in both groups.

Nonlinear EEG signatures of mind wandering during breath focus meditation

By a systematic analysis of the current literature on the neural correlates of mind wandering, that is, the default network (DN), and by shedding light on some determinative factors and conditions which affect the relationship between mind wandering and negative mood, we show that (1) mind wandering per se does not necessarily have a positive correlation with negative mood and, on the higher levels, depression. We propose that negative mood as a consequence of mind wandering generally depends on two determinative conditions, that is, whether mind wandering is with or without meta-awareness and whether mind wandering occurs during high or low vigilance states; (2) increased activity of the DN is not necessarily followed by an increase in unhappiness and depression. We argue that while in some kinds of meditation practices we witness an increase in the structure and in the activity of the DN, no increase in unhappiness and depression is observed.

I Think, Therefore I Am (Unhappy)

The study investigated the neural correlates of mind wandering using eyeblink rate (EBR) and variability (EBV) proxies. Dopamine, a neurotransmitter integral to the brain's reward system, has been implicated in regulating both task-unrelated and task-focused thinking. This study sought to clarify the relationships between dopaminergic function and cognitive control during a task by utilizing EBR and EBV as proxy measures. Vertical electrooculogram and brain event-related potential (ERP) data were gathered from 24 adult participants while they performed a computerized cognitive task. During the task (3-stimulus visual oddball procedure), participants discriminated between an infrequently seen target stimulus, an infrequent novel stimulus (for evaluating task engagement and distraction), and a commonly occurring nontarget stimulus. A retrospective questionnaire (Dundee Stress State Questionnaire, DSSQ) assessed task-unrelated (TUT) and task-related (TRT) thinking directly after task completion. The P3a ERP brain indexes at the Cz and Fz scalp electrode sites were also considered as a secondary proxy measure of dopamine function. The main finding revealed that higher EBR was associated with higher TUT, suggesting a link between elevated dopaminergic activity and mind wandering. There was also a marginal negative correlation with P3a latency at the Fz scalp location and TUT, indicative of heightened responsiveness to distraction in general. For TRT, there was a positive correlation with P3a amplitudes at Fz, suggesting a role in task-related engagement and focus on all stimuli during the task. Regarding behavior, EBR and EBV were negatively correlated with Sigma ex-Gaussian task reaction time (RT), suggesting that more stable cognitive states are associated with higher blink rates and variability. Tau RT positively correlated with blink variability and P3a amplitudes at Fz and Cz, indicative of attentional lapse. Regression analyses showed that EBR and Mu RT predicted TUT, while TRT was predicted by P3a amplitude at Fz. More blinks and slower responses were related to TUT, whereas greater focus on the task stimuli (P3a amplitude) was related to TRT. These data underscore the importance of dopamine during mind wandering and task focus. In addition, this study argues for using ex-Gaussian analysis to understand the complex dynamics of attentional control during mind wandering.

Spontaneous thoughts and experiences, such as dreaming and mind wandering, form a significant part of our conscious mental lives. Yet, the precise phenomenological and content-related similarities and differences between dreaming and waking mind wandering remain insufficiently understood. In this study, we address this gap by comparing 340 dreaming and mind wandering questionnaire responses that depending on the answers of participants ranged from 13 to 27 dimensions. While previous research primarily used laboratory settings and probe-caught methods, we used a self-caught design to capture spontaneous experiences in daily life. Data were explored with mixed-effect binary logistic regression models, which resulted in identifying dimensions that significantly predicted either dreaming or mind wandering and can therefore be considered as differences between both states. In addition, the relative frequency distributions of all dimensions were used to illustrate similarities between dreaming and mind wandering. Finally, we compared a subgroup of dreaming and mind wandering containing visual imagery. Visual and immersive imagery and scene-organization are central features of dream phenomenology and at the centre of leading dream theories. To further investigate the immersive quality of dreaming and mind wandering, we considered features related to self-experience such as Feeling of Presence and Self-perspective. Overall results showed a complex picture of differences and similarities between dreaming and mind wandering that can inform future research and help identify along which dimension dreaming might be considered as intensified compared to mind wandering.

The kaleidoscope of bizarreness: The analysis of first-person-reports shows the relationship between dreaming and mind wandering to be complex.

Attention is crucial for learners to enhance their learning and build knowledge. Sustaining prolonged attention requires students to self-regulate their behavioral, emotional, and cognitive processes. At the same time, learners engage in mind wandering approximately 30% of the time spent in educational activities, leading to a deterioration in learning outcomes. Despite its prevalence, the integration of mind-wandering research with self-regulated learning (SRL) frameworks remains limited. To address this gap, we first conceptually integrated research on mind wandering and SRL. Second, we assessed the extent to which this integration has been empirically explored by situating research on mind wandering during learning within the self-regulated learning process, multimodal data, and analysis (SMA) grid. To this end, we conducted a preregistered systematic literature review. We reviewed 134 studies from 2010 to 2024, analyzing the employed definitions of mind wandering, especially with regard to meta-awareness, the data streams used for measuring mind wandering, and whether mind wandering was investigated in relation to or in combination with cognitive, affective, metacognitive, and motivational (CAMM) SRL processes. Our analysis revealed that a significant number of studies have examined mind wandering alongside cognitive and metacognitive SRL processes and predominantly using self-report measures. An equal number of studies unobtrusively measured mind wandering through multimodal data streams (e.g., eye tracking, physiology, reaction time), with 27% utilizing machine learning (ML) techniques for assessment. However, most of these reports did not include SRL procedures and only a small number of studies used an integrated analytic approach, combining multimodal assessment and including SRL processes. Overall, affective and motivational processes received little to no attention. This review demonstrates how integrating research on mind wandering into established SRL frameworks can enhance our understanding of their complex interaction and role in the learning process. It revealed a blind spot in studying mind wandering in educational settings in conjunction with SRL processes using multimodal data streams, especially regarding affective and motivational SRL processes. Additionally, the results suggest that this integration can improve the effectiveness of real-time interventions based on automated mind-wandering detection in attention-aware learning technologies, thereby supporting SRL.

Stroke is currently the leading cause of long-term disability in adults in the United States. There is a need for accessible, low-cost treatments of stroke-related disabilities such as aphasia. To explore an intervention for aphasia utilizing mindfulness meditation (MM). This preliminary study examines the feasibility of teaching MM to individuals with aphasia. Since physiological measures have not been collected for those with aphasia, the study was also an exploration of the potential attention, language and physiological changes after MM in adults with aphasia during a brief, daily group training. A 5-day MM group training was provided to adults with aphasia (n = 5) with a waitlist control group (n = (3) who engaged in 'mind wandering'. Participants were assigned to groups in a pseudo-random manner. A double baseline (2 days apart) was administered prior to the training and/or control group beginning. Both the training and the control groups met in a group setting. Salivary cortisol, heart rate and heart rate variability were measured during each day for both groups. Measures of attention, auditory comprehension and fluency were collected immediately after the study period and 1 week post-completion. This study reinforces findings from previous work indicating that adults with aphasia can learn MM. Although not statistically significant, the training group demonstrated improved fluency immediately after MM; however, changes were not maintained at follow-up. Physiological measures showed little effect associated with MM training. No changes in attention were observed for either group. This is an emerging area of interest due to the potential low cost of MM training. Furthermore, MM is easily taught to patients, suggesting the possibility for widespread use in clinical practice as a supplement to existing language-focused interventions.

Objective:Studies suggest that internally oriented cognitive processes are central to creativity. Here, we distinguish between intentional and unintentional forms of mind wandering and explore their component contributions to creativity. Furthermore, we describe resting-state connectivity profiles associated with these trait-level measures of mind wandering. Bearing in mind the role of the DMN in internally directed cognitive processes, we hypothesize that, in general, mind wandering will be associated with increased connectivity of voxels in the medial prefrontal and posterior cingulate cortices, key nodes in the DMN. We further hypothesize that intentional and unintentional mind wandering will be associated with distinct patterns of connectivity across DMN core regions.Participants and Methods:We used a sample of 155 healthy adults from the mind-brain-body dataset, all of whom completed resting-state fMRI scans and trait-level measures of mind wandering. We analyzed intentional and unintentional mind wandering tendencies using self-report measures. Next, we explored the relationship between mind wandering tendencies and creativity, as measured by a divergent thinking task. Additionally, we describe patterns of resting-state network connectivity associated with mind wandering, using graph theory (weighted degree) functional connectivity analysis.Results:At the behavioral level, results showed a significant positive association between creativity and both intentional and unintentional mind wandering. Neuroimaging analysis revealed higher weighted degree connectivity associated with both forms of mind wandering, implicating core regions of the default network and the left temporal pole. We observed topological connectivity differences within the default network: intentional mind wandering was associated with degree connectivity in posterior regions, whereas unintentional mind wandering showed greater involvement of prefrontal areas.Conclusions:In this study, we highlight patterns of resting-state network connectivity associated with intentional and unintentional mind wandering, and provide novel evidence of a link between mind wandering and creativity. These findings represent a promising step towards understanding the neurocognitive mechanisms that underlie productive mind wandering and demonstrate its relevance for the study of creative thinking.