RT Journal Article
SR Electronic
T1 Functional connectivity predicts changes in attention over minutes, days, and months
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 700476
DO 10.1101/700476
A1 Monica D. Rosenberg
A1 Dustin Scheinost
A1 Abigail S. Greene
A1 Emily W. Avery
A1 Young Hye Kwon
A1 Emily S. Finn
A1 Ramachandran Ramani
A1 Maolin Qiu
A1 R. Todd Constable
A1 Marvin M. Chun
YR 2019
UL http://biorxiv.org/content/early/2019/07/14/700476.abstract
AB 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.