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A neuromarker of sustained attention from whole-brain functional connectivity.
Nat Neurosci 2016; 19(1):165-71NN

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.

Authors+Show Affiliations

Department of Psychology, Yale University, New Haven, Connecticut, USA.Interdepartmental Neuroscience Program, Yale University, New Haven, Connecticut, USA.Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut, USA.Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut, USA. Department of Biomedical Engineering, Yale University, New Haven, Connecticut, USA.Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut, USA.Interdepartmental Neuroscience Program, Yale University, New Haven, Connecticut, USA. Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, Connecticut, USA. Department of Neurosurgery, Yale School of Medicine, New Haven, Connecticut, USA.Department of Psychology, Yale University, New Haven, Connecticut, USA. Interdepartmental Neuroscience Program, Yale University, New Haven, Connecticut, USA. Department of Neurobiology, Yale University, New Haven, Connecticut, USA.

Pub Type(s)

Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.

Language

eng

PubMed ID

26595653

Citation

Rosenberg, Monica D., et al. "A Neuromarker of Sustained Attention From Whole-brain Functional Connectivity." Nature Neuroscience, vol. 19, no. 1, 2016, pp. 165-71.
Rosenberg MD, Finn ES, Scheinost D, et al. A neuromarker of sustained attention from whole-brain functional connectivity. Nat Neurosci. 2016;19(1):165-71.
Rosenberg, M. D., Finn, E. S., Scheinost, D., Papademetris, X., Shen, X., Constable, R. T., & Chun, M. M. (2016). A neuromarker of sustained attention from whole-brain functional connectivity. Nature Neuroscience, 19(1), pp. 165-71. doi:10.1038/nn.4179.
Rosenberg MD, et al. A Neuromarker of Sustained Attention From Whole-brain Functional Connectivity. Nat Neurosci. 2016;19(1):165-71. PubMed PMID: 26595653.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - A neuromarker of sustained attention from whole-brain functional connectivity. AU - Rosenberg,Monica D, AU - Finn,Emily S, AU - Scheinost,Dustin, AU - Papademetris,Xenophon, AU - Shen,Xilin, AU - Constable,R Todd, AU - Chun,Marvin M, Y1 - 2015/11/23/ PY - 2015/09/19/received PY - 2015/10/27/accepted PY - 2015/11/24/entrez PY - 2015/11/26/pubmed PY - 2016/5/27/medline SP - 165 EP - 71 JF - Nature neuroscience JO - Nat. Neurosci. VL - 19 IS - 1 N2 - 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. SN - 1546-1726 UR - https://www.unboundmedicine.com/medline/citation/26595653/A_neuromarker_of_sustained_attention_from_whole_brain_functional_connectivity_ L2 - http://dx.doi.org/10.1038/nn.4179 DB - PRIME DP - Unbound Medicine ER -