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The Amsterdam Resting-State Questionnaire reveals multiple phenotypes of resting-state cognition

Authors :
B. Alexander eDiaz
Sophie eVan Der Sluis
Sarah eMoens
Jeroen S. Benjamins
Filippo eMigliorati
Diederick eStoffers
Anouk eDen Braber
Simon-Shlomo ePoil
Richard eHardstone
Dennis eVan 't Ent
Dorret I. Boomsma
Eco eDe Geus
Huibert D. Mansvelder
Eus J.W. Van Someren
Klaus eLinkenkaer-Hansen
Source :
Frontiers in Human Neuroscience, Vol 7 (2013)
Publication Year :
2013
Publisher :
Frontiers Media S.A., 2013.

Abstract

Resting-state neuroimaging is a dominant paradigm for studying brain function in health and disease. It is attractive for clinical research because of its simplicity for patients, straightforward standardization, and sensitivity to brain disorders. Importantly, non-sensory experiences like mind wandering may arise from ongoing brain activity. However, little is known about the link between ongoing brain activity and cognition, as phenotypes of resting-state cognition—and tools to quantify them—have been lacking. To facilitate rapid and structured measurements of resting-state cognition we developed a 50-item self-report survey, the Amsterdam Resting-State Questionnaire (ARSQ). Based on ARSQ data from 813 participants assessed after five minutes eyes-closed rest in their home, we identified seven dimensions of resting-state cognition using factor analysis: Discontinuity of Mind, Theory of Mind, Self, Planning, Sleepiness, Comfort, and Somatic Awareness. Further, we showed that the structure of cognition was similar during resting-state fMRI and EEG, and that the test-retest correlations were remarkably high for all dimensions. To explore whether inter-individual variation of resting-state cognition is related to health status, we correlated ARSQ-derived factor scores with psychometric scales measuring depression, anxiety, and sleep quality. Mental health correlated positively with Comfort and negatively with Discontinuity of Mind. Finally, we show that sleepiness may partially explain a resting-state EEG profile previously associated with Alzheimer’s disease. These findings indicate that the ARSQ readily provides information about cognitive phenotypes and that it is a promising tool for research on the neural correlates of resting-state cognition in health and disease.

Details

Language :
English
ISSN :
16625161
Volume :
7
Database :
Directory of Open Access Journals
Journal :
Frontiers in Human Neuroscience
Publication Type :
Academic Journal
Accession number :
edsdoj.01e39dc47e92498ea131628cda617e09
Document Type :
article
Full Text :
https://doi.org/10.3389/fnhum.2013.00446