The human brain frequently generates thoughts and feelings detached from environmental demands. Investigating the rich repertoire of these mind-wandering experiences is challenging, as it depends on introspection and mapping its content requires an unknown number of dimensions. We recently developed a retrospective self-report questionnaire-the Amsterdam Resting-State Questionnaire (ARSQ)-which quantifies mind wandering along seven dimensions: "Discontinuity of Mind," "Theory of Mind," "Self," "Planning," "Sleepiness," "Comfort," and "Somatic Awareness." Here, we show using confirmatory factor analysis that the ARSQ can be simplified by standardizing the number of items per factor and extending it to a 10-dimensional model, adding "Health Concern," "Visual Thought," and "Verbal Thought." We will refer to this extended ARSQ as the "ARSQ 2.0." Testing for effects of age and gender revealed no main effect for gender, yet a moderate and significant negative effect for age on the dimensions of "Self," "Planning," and "Visual Thought." Interestingly, we observed stable and significant test-retest correlations across measurement intervals of 3-32 months except for "Sleepiness" and "Health Concern." To investigate whether this stability could be related to personality traits, we correlated ARSQ scores to proxy measures of Cloninger's Temperament and Character Inventory, revealing multiple significant associations for the trait "Self-Directedness." Other traits correlated to specific ARSQ dimensions, e.g., a negative association between "Harm Avoidance" and "Comfort." Together, our results suggest that the ARSQ 2.0 is a promising instrument for quantitative studies on mind wandering and its relation to other psychological or physiological phenomena.
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http://dx.doi.org/10.3389/fpsyg.2014.00271 | DOI Listing |
Hum Brain Mapp
January 2025
McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Trait mindfulness refers to one's disposition or tendency to pay attention to their experiences in the present moment, in a non-judgmental and accepting way. Trait mindfulness has been robustly associated with positive mental health outcomes, but its neural underpinnings are poorly understood. Prior resting-state fMRI studies have associated trait mindfulness with within- and between-network connectivity of the default-mode (DMN), fronto-parietal (FPN), and salience networks.
View Article and Find Full Text PDFBr J Psychol
November 2024
Eastern Illinois University, Charleston, Illinois, USA.
Spontaneous mind wandering has been implicated as a feature of attention-deficit/hyperactivity disorder (ADHD) and researchers have wondered if spontaneous remembering is also a feature of ADHD. In this study, we compared spontaneous cognition, principally involuntary autobiographical memories, in participants who scored inside the ADHD range on BAARS-IV to those who scored outside of the ADHD range. In Study 1, participants reported their involuntary memories and spontaneous thoughts on a laboratory measure of involuntary memory (the vigilance task), as well as estimated their daily involuntary memory frequencies on a separate questionnaire.
View Article and Find Full Text PDFConscious Cogn
October 2024
Department of Psychology, Keio University, 2-15-45 Mita, Minato-ku, Tokyo 108-8345, Japan; Keio University Global Research Institute, 2-15-45 Mita, Minato-ku, Tokyo 108-8345, Japan.
Our thought states change without intention. This study verified that the transition of thought states varies with fluctuations in autonomic nervous activity, and that this effect is modulated by interoceptive accuracy. The participants completed the heartbeat counting task (HCT) and vigilance task.
View Article and Find Full Text PDFEmotion
October 2024
Department of Psychology, University of California, San Diego.
The current research represents one of the first attempts to investigate how various thought qualities that naturally fluctuate across attention states (i.e., mind wandering vs.
View Article and Find Full Text PDFWith mounting evidence for the benefits of meditation, there has been a growing interest in measuring and quantifying meditative states. This study introduces the Inner Dereification Index (IDI), a class of personalized models designed to quantify the distance from non-meditative states such as mind wandering based on a single individual's neural activity. In addition to demonstrating high classification accuracy (median AUC: 0.
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