A neuromarker of sustained attention from whole-brain functional connectivity.
A neuromarker of sustained attention from whole-brain functional connectivity.
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DOI：
10.1038/nn.4179
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发表时间：
2016-01
影响因子：
25
通讯作者：
Chun MM
中科院分区：
文献类型：
--
作者：
Rosenberg MD;Finn ES;Scheinost D;Papademetris X;Shen X;Constable RT;Chun MM
尽管注意力在感知和认知中起着无处不在的作用，但研究人员缺乏一种简单的方法来衡量一个人的整体注意力能力。由于行为测量是多种多样的，很难标准化，我们追求一个重要方面的神经标记，持续的注意力，使用功能性磁共振成像。为此，我们确定了在持续注意力任务中其强度预测个体表现差异的功能性大脑网络。基于这些网络的模型可以推广到以前未见过的个体，甚至可以仅通过静息状态连接来预测性能。此外，在一个独立的儿童和青少年样本中，这些相同的模型预测了静息状态连通性对注意力的临床测量——注意缺陷多动障碍的症状。这些结果表明，全脑功能网络强度提供了一个广泛适用的持续注意的神经标志物。
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.