Dimensions of Experience: Exploring the Heterogeneity of the Wandering Mind
The tendency for the mind to wander to concerns other than the task at hand is a fundamental feature of human cognition, yet the consequences of variations in its experiential content for psychological functioning are not well understood. Here, we adopted multivariate pattern analysis to simultaneou...
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Published in | Psychological science Vol. 29; no. 1; pp. 56 - 71 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Los Angeles, CA
SAGE Publications
01.01.2018
SAGE PUBLICATIONS, INC Association for Psychological Science |
Subjects | |
Online Access | Get full text |
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Summary: | The tendency for the mind to wander to concerns other than the task at hand is a fundamental feature of human cognition, yet the consequences of variations in its experiential content for psychological functioning are not well understood. Here, we adopted multivariate pattern analysis to simultaneously decompose experience-sampling data and neural functional-connectivity data, which revealed dimensions that simultaneously describe individual variation in self-reported experience and default-mode-network connectivity. We identified dimensions corresponding to traits of positive-habitual thoughts and spontaneous task-unrelated thoughts. These dimensions were uniquely related to aspects of cognition, such as executive control and the ability to generate information in a creative fashion, and independently distinguished well-being measures. These data provide the most convincing evidence to date for an ontological view of the mind-wandering state as encompassing a broad range of different experiences and show that this heterogeneity underlies mind wandering’s complex relationship to psychological functioning. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Author Contributions: J. Smallwood, E. Jefferies, H.-T. Wang, and C. Murphy designed the study. H.-T. Wang, C. Murphy, and G. Poerio collected the data. The connection-strength and sparse canonical-correlation analysis pipeline was constructed by D. Bzdok and H.-T. Wang. Data were analyzed by H.-T. Wang, C. Murphy, and G. Poerio under the supervision of D. Bzdok, J. Smallwood, and E. Jefferies. H.-T. Wang and J. Smallwood drafted the manuscript. G. Poerio and D. Bzdok provided critical revisions. All the authors approved the final version of the manuscript prior to submission. |
ISSN: | 0956-7976 1467-9280 1467-9280 |
DOI: | 10.1177/0956797617728727 |