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Functional connectivity predicts changes in attention over minutes, days, and months

View ORCID ProfileMonica D. Rosenberg, View ORCID ProfileDustin Scheinost, View ORCID ProfileAbigail S. Greene, View ORCID ProfileEmily W. Avery, Young Hye Kwon, View ORCID ProfileEmily S. Finn, Ramachandran Ramani, Maolin Qiu, View ORCID ProfileR. Todd Constable, View ORCID ProfileMarvin M. Chun
doi: https://doi.org/10.1101/700476
Monica D. Rosenberg
1Department of Psychology, Yale University, New Haven, CT
2Department of Psychology, University of Chicago, Chicago, IL
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  • For correspondence: mdrosenberg@uchicago.edu
Dustin Scheinost
3Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT
4Child Study Center, Yale School of Medicine, New Haven, CT USA
5Department of Statistics and Data Science, Yale University, New Haven, CT
6Interdepartmental Neuroscience Program, Yale University, New Haven, CT USA
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Abigail S. Greene
6Interdepartmental Neuroscience Program, Yale University, New Haven, CT USA
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Emily W. Avery
1Department of Psychology, Yale University, New Haven, CT
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Young Hye Kwon
1Department of Psychology, Yale University, New Haven, CT
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Emily S. Finn
7Section on Functional Imaging Methods, National Institute of Mental Health, Bethesda MD USA
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Ramachandran Ramani
8Department of Anesthesiology, University of Florida College of Medicine, Gainesville, FL USA
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Maolin Qiu
3Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT
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R. Todd Constable
3Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT
6Interdepartmental Neuroscience Program, Yale University, New Haven, CT USA
9Department of Neurosurgery, Yale School of Medicine, New Haven, CT USA
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Marvin M. Chun
1Department of Psychology, Yale University, New Haven, CT
6Interdepartmental Neuroscience Program, Yale University, New Haven, CT USA
10Department of Neuroscience, Yale School of Medicine, New Haven, CT USA
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Abstract

The ability to sustain attention differs across people and changes within a single person over time. Although recent work has demonstrated that patterns of functional brain connectivity predict individual differences in sustained attention, whether these same patterns capture fluctuations in attention in single individuals remains unclear. Here, across five independent studies, we demonstrate that the sustained attention connectome-based predictive model (CPM), a validated model of sustained attention function, generalizes to predict attention changes across minutes, days, weeks, and months. Furthermore, the sustained attention CPM is sensitive to within-subject state changes induced by propofol as well as sevoflurane, such that individuals show functional connectivity signatures of stronger attentional states when awake than when under deep sedation and light anesthesia. Together these results demonstrate that fluctuations in attentional state reflect variability in the same functional connectivity patterns that predict individual differences in sustained attention.

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Posted July 14, 2019.
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Functional connectivity predicts changes in attention over minutes, days, and months
Monica D. Rosenberg, Dustin Scheinost, Abigail S. Greene, Emily W. Avery, Young Hye Kwon, Emily S. Finn, Ramachandran Ramani, Maolin Qiu, R. Todd Constable, Marvin M. Chun
bioRxiv 700476; doi: https://doi.org/10.1101/700476
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Functional connectivity predicts changes in attention over minutes, days, and months
Monica D. Rosenberg, Dustin Scheinost, Abigail S. Greene, Emily W. Avery, Young Hye Kwon, Emily S. Finn, Ramachandran Ramani, Maolin Qiu, R. Todd Constable, Marvin M. Chun
bioRxiv 700476; doi: https://doi.org/10.1101/700476

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