A neuromarker of sustained attention from whole-brain functional connectivity

作者：Rosenberg, Monica D.^*; Finn, Emily S.; Scheinost, Dustin; Papademetris, Xenophon; Shen, Xilin; Constable, R. Todd; Chun, Marvin M.

来源：Nature Neuroscience, 2016, 19(1): 165-+.

DOI：10.1038/nn.4179

• WORKING-MEMORY
• FLUID INTELLIGENCE
• CHILDREN
• NETWORK
• FMRI
• PARCELLATION
• VARIABILITY
• PERFORMANCE
• CAPACITY
• PATTERNS

Although attention plays a ubiquitous role in perception and cognition, researchers lack a simple way to measure a person's overall attentional abilities. Because behavioral measures are diverse and difficult to standardize, we pursued a neuromarker of an important aspect of attention, sustained attention, using functional magnetic resonance imaging. To this end, we identified functional brain networks whose strength during a sustained attention task predicted individual differences in performance. Models based on these networks generalized to previously unseen individuals, even predicting performance from resting-state connectivity alone. Furthermore, these same models predicted a clinical measure of attention-symptoms of attention deficit hyperactivity disorder-from resting-state connectivity in an independent sample of children and adolescents. These results demonstrate that whole-brain functional network strength provides a broadly applicable neuromarker of sustained attention.

• 出版日期2016-1