A functional connectivity-based neuromarker of sustained attention generalizes to predict recall in a reading task.
A functional connectivity-based neuromarker of sustained attention generalizes to predict recall in a reading task.
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DOI：
10.1016/j.neuroimage.2017.10.019
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发表时间：
2018-02-01
期刊：
影响因子：
5.7
通讯作者：
Bandettini PA
中科院分区：
文献类型：
--
作者：
Jangraw DC;Gonzalez-Castillo J;Handwerker DA;Ghane M;Rosenberg MD;Panwar P;Bandettini PA
保持对手头任务的注意力是日常生活中至关重要的一部分，从在学校听课到开车时保持注意力集中。持续注意力的缺失是经常发生的，而且往往是有问题的，注意力缺陷多动障碍等疾病影响着全世界数百万人。最近的工作已经在基本任务期间在全脑功能连接（FC）测量中找到了持续注意力的签名，但由于FC可以是动态的和任务依赖的，因此尚不清楚这些签名将如何全面推广到更复杂和自然的场景。为此，我们使用了一个先前定义的全脑FC网络-一个来自持续注意力任务的注意力标记-来预测参与者在自由观看阅读任务中回忆材料的能力。虽然预测网络是在不同的任务和参与者集合上训练的，但持续注意力网络中的FC强度预测阅读回忆的效果明显优于排列测试，其中行为被打乱以模拟机会表现。为了测试用于推导持续注意力网络的方法的通用性，我们将相同的方法应用于我们的阅读任务数据，以找到一个新的FC网络，其强度专门预测阅读回忆。尽管持续注意力网络对回忆有显著的预测作用，但阅读网络对回忆准确率的预测作用更大。新的阅读网络的空间分布表明，当颞极区与左枕区的FC较高，与双侧缘上回的FC较低时，阅读回忆最高。右侧小脑与右侧额叶的连接也表明阅读回忆不佳。我们研究了这两个预测FC网络之间的这些和其他差异，为基于FC的性能指标的任务依赖性提供了新的见解。
Sustaining attention to the task at hand is a crucial part of everyday life, from following a lecture at school to maintaining focus while driving. Lapses in sustained attention are frequent and often problematic, with conditions such as attention deficit hyperactivity disorder affecting millions of people worldwide. Recent work has had some success in finding signatures of sustained attention in whole-brain functional connectivity (FC) measures during basic tasks, but since FC can be dynamic and task-dependent, it remains unclear how fully these signatures would generalize to a more complex and naturalistic scenario. To this end, we used a previously defined whole-brain FC network – a marker of attention that was derived from a sustained attention task – to predict the ability of participants to recall material during a free-viewing reading task. Though the predictive network was trained on a different task and set of participants, the strength of FC in the sustained attention network predicted reading recall significantly better than permutation tests where behavior was scrambled to simulate chance performance. To test the generalization of the method used to derive the sustained attention network, we applied the same method to our reading task data to find a new FC network whose strength specifically predicts reading recall. Even though the sustained attention network provided significant prediction of recall, the reading network was more predictive of recall accuracy. The new reading network’s spatial distribution indicates that reading recall is highest when temporal pole regions have higher FC with left occipital regions and lower FC with bilateral supramarginal gyrus. Right cerebellar to right frontal connectivity is also indicative of poor reading recall. We examine these and other differences between the two predictive FC networks, providing new insight into the task-dependent nature of FC-based performance metrics.
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影响因子：
3.5
作者：
Peirce, Jonathan W.
通讯作者：
Peirce, Jonathan W.
DOI：
10.1523/jneurosci.3684-10.2011
发表时间：
2011-02-23
期刊：
The Journal of neuroscience : the official journal of the Society for Neuroscience
影响因子：
--
作者：
Lerner Y;Honey CJ;Silbert LJ;Hasson U
通讯作者：
Hasson U
DOI：
10.1073/pnas.95.3.906
发表时间：
1998-02-03
影响因子：
11.1
作者：
Gabrieli, JDE;Poldrack, RA;Desmond, JE
通讯作者：
Desmond, JE
DOI：
10.1073/pnas.1113148109
发表时间：
2012-02-28
影响因子：
11.1
作者：
Baldassarre, Antonello;Lewis, Christopher M.;Corbetta, Maurizio
通讯作者：
Corbetta, Maurizio
影响因子：
5.7
作者：
Kundu, Prantik;Inati, Souheil J.;Evans, Jennifer W.;Luh, Wen-Ming;Bandettini, Peter A.
通讯作者：
Bandettini, Peter A.