Mind wandering and attention

This study compares objective and subjective measures of attentional fluctuations during sustained attention tasks, finding they capture distinct patterns.

The paper investigates EEG markers of vigilance, fatigue, and motivation during sustained attention tasks and identifies distinct neural signatures for each factor.

The paper identifies neural dynamics of sustained attention states using EEG data from a continuous performance task, finding reduced midfrontal theta oscillations during attention lapses.

The paper analyzes EEG and behavioral data to identify neural and cognitive markers of transitions between focused and mind-wandering states during a tone counting task.

This study investigates how brain-body interactions influence the transition from mind wandering to awareness of ongoing thought using EEG, ECG, and respiration data.

This study uses HD-tDCS to investigate how specific brain regions relate to different types of dynamic thoughts during mind wandering.

The paper identifies a neural signature in the default network that predicts self-focus and links it to maladaptive self-focus in internalizing disorders.

This study examines individual differences in neural representations of mind-wandering using dense sampling and functional MRI, finding both consistent and variable patterns across individuals.

This study uses experience sampling to examine covert goal-relevant states during task performance, finding that fronto-parietal network activity is linked to better task performance.

The paper investigates the neural correlates of mind-blanking without induction, finding deactivations in multiple brain regions and proposing a neuronal profile associated with the phenomenon.

The paper identifies distinct low-frequency EEG markers that differentiate intentional and unintentional mind-wandering during a sustained attention task.

This study uses fMRI to examine brain dynamics of self-generated concepts during spontaneous thought and links them to individual differences in negative affectivity.

This study examines how attentional control and arousal regulate ongoing mental states in young and older adults, finding age-dependent differences in mind-wandering and mind-blank states.

The paper investigates how mind-wandering during reading affects neural coupling between the default mode network and visual regions, showing that decoupling impairs comprehension.

This study decodes mind wandering and meta-awareness from EEG data and finds that introspection confidence correlates with decoding accuracy.

This study shows that social imitation modulates spontaneous thought patterns and neural activity, correlating with oxytocin levels and behavioral states.

This study uses nonlinear EEG complexity metrics to distinguish mind wandering from breath focus in novice meditators, finding reduced complexity during mind wandering.

This study identifies that sensory cortices are activated during mind wandering, linking subjective sensory experiences to specific brain regions.

This study shows that degraded stimuli impair performance in a mouse continuous performance test, mirroring human findings and supporting the translational value of the rodent model.

The paper identifies sleep-like slow waves in the awake brain associated with attentional lapses, mind wandering, and mind blanking through behavioral and neural analysis.

The paper examines how ongoing thought patterns vary across tasks and individual affective styles, identifying four patterns and their contextual and personal influences.

The paper uses MEG data to show that neural signatures of vigilance decrements can predict behavioural errors before they occur in a monitoring task.

The paper develops a functional brain network model to predict stimulus-independent, task-unrelated thought across different populations and contexts.

The paper investigates how mind-wandering during local sleep affects visual attention and finds that attentional selection improves despite reduced cortical processing of external stimuli.

This study identifies two distinct neural states during wakeful rest using machine learning and links them to specific psychological features like problem-solving and negative rumination.

This study examines EEG theta-alpha oscillations during mind wandering in meditation, finding increased theta amplitude and decreased frequency, and decreased alpha amplitude with increased frequency during mind wandering.

This study examines pupillary responses during mind wandering episodes, finding systematic dilation after verbal cues that trigger self-reported mind wandering, but high variability in episode duration.

The paper identifies two brain states during a sustained attention task, showing one is behaviorally optimal and the other suboptimal, and examines their modulation by motivation, mind wandering, and ADHD.