A neuromarker of sustained attention from whole-brain functional connectivity

被引:645
|
作者
Rosenberg, Monica D. [1 ]
Finn, Emily S. [2 ]
Scheinost, Dustin [3 ]
Papademetris, Xenophon [3 ,4 ]
Shen, Xilin [3 ]
Constable, R. Todd [2 ,3 ,5 ]
Chun, Marvin M. [1 ,2 ,6 ]
机构
[1] Yale Univ, Dept Psychol, New Haven, CT 06520 USA
[2] Yale Univ, Interdept Neurosci Program, New Haven, CT USA
[3] Yale Univ, Sch Med, Dept Radiol & Biomed Imaging, New Haven, CT USA
[4] Yale Univ, Dept Biomed Engn, New Haven, CT USA
[5] Yale Univ, Dept Neurosurg, Sch Med, New Haven, CT USA
[6] Yale Univ, Dept Neurobiol, New Haven, CT USA
基金
中国国家自然科学基金; 美国国家科学基金会; 美国国家卫生研究院;
关键词
WORKING-MEMORY; FLUID INTELLIGENCE; CHILDREN; NETWORK; FMRI; PARCELLATION; VARIABILITY; PERFORMANCE; CAPACITY; PATTERNS;
D O I
10.1038/nn.4179
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
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.
引用
收藏
页码:165 / +
页数:10
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