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首页> 外文期刊>Journal of Neurophysiology >Predicting an individual's dorsal attention network activity from functional connectivity fingerprints
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Predicting an individual's dorsal attention network activity from functional connectivity fingerprints

机译：从功能连接指纹预测个人的背部注意网络活动

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摘要

The cortical dorsal attention network (DAN) is a set of parietal and frontal regions that support a wide variety of attentionally demanding tasks. Whereas attentional deployment reliably drives DAN activity across subjects, there is a large degree of variation in the activation pattern in individual subjects. We hypothesize that a subject's own idiosyncratic pattern of cortical DAN activity can be predicted from that subject's own unique pattern of functional connectivity. By modeling task activation as a function of whole brain connectivity patterns, we are able to define the connectivity fingerprints for the frontal and parietal DAN, and use it to predict a subject's characteristic DAN activation pattern with high accuracy. These predictions outperform the standard group-average benchmark and predict a subject's own activation pattern above and beyond predictions from another subject's connectivity pattern. Thus an individual's distinctive connectivity pattern accounts for substantial variance in DAN functional responses. Last, we show that the set of connections that predict cortical DAN responses, the frontal and parietal DAN connectivity fingerprints, is predominantly composed of other coactive regions, including regions outside of the DAN including occipital and temporal visual cortices. These connectivity fingerprints represent defining computational characteristics of the DAN, delineating which voxels are or are not capable of exerting top-down attentional bias to other regions of the brain.
机译：皮质背部注意网络（DAN）是一套一系列的台廓和额区域，支持各种各样的注意力苛刻的任务。虽然注意力部署可靠地驱动跨对象的DAN活动，所以各个受试者的激活模式都有很大程度的变化。我们假设可以从该主题自己独特的功能连接模式中预测受试者自己的皮质DAN活动的特质模式。通过以全脑连接模式的函数建模任务激活，我们能够为正面和顶点DAN定义连接指纹，并使用它以高精度地预测受试者的特征性DAN激活模式。这些预测优于标准组平均基准，并预测来自另一个受试者的连接模式的上述主题自己的激活模式。因此，个人的独特连通性模式占丹功能响应的实质性方差。最后，我们表明，预测皮质DAN响应，正面和顶点丹连通性指纹的一组连接主要由其他积极区域组成，包括丹特和时间视觉皮质的丹外部的区域。这些连接指纹表示定义丹的计算特性，描绘哪种体素是或不能能够向大脑的其他区域施加自上而下的注意偏差。

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