Format

Send to

Choose Destination
See comment in PubMed Commons below
Nat Neurosci. 2016 Jan;19(1):165-71. doi: 10.1038/nn.4179. Epub 2015 Nov 23.

A neuromarker of sustained attention from whole-brain functional connectivity.

Author information

1
Department of Psychology, Yale University, New Haven, Connecticut, USA.
2
Interdepartmental Neuroscience Program, Yale University, New Haven, Connecticut, USA.
3
Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut, USA.
4
Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.
5
Department of Neurosurgery, Yale School of Medicine, New Haven, Connecticut, USA.
6
Department of Neurobiology, Yale University, New Haven, Connecticut, USA.

Abstract

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.

Comment in

PMID:
26595653
PMCID:
PMC4696892
DOI:
10.1038/nn.4179
[Indexed for MEDLINE]
Free PMC Article
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Nature Publishing Group Icon for PubMed Central
    Loading ...
    Support Center