Decoding task engagement from distributed network electrophysiology in humans.
Decoding task engagement from distributed network electrophysiology in humans.
复制标题
从人类分布式网络电生理学中解码任务参与度。
DOI：
10.1088/1741-2552/ab2c58
复制
发表时间：
2019
影响因子：
4
通讯作者：
Widge,AlikS
中科院分区：
文献类型：
--
作者：
Provenza,NicoleR;Paulk,AngeliqueC;Peled,Noam;Restrepo,MariaI;Cash,SydneyS;Dougherty,DarinD;Eskandar,EmadN;Borton,DavidA;Widge,AlikS
在这里，我们的目标是开发一个二进制解码器来检测人类在两个不同的、基于冲突的行为任务中的任务参与。努力的、目标导向的决策需要多个认知过程的协调作用，包括注意、工作记忆和行动选择。这种精神上的努力在精神障碍中往往是不正常的，例如当一个病人试图克服抑郁或焦虑驱动的习惯，但却感到无能为力时。如果能够可靠地检测到这种集中精神活动的开始，决策功能可能会得到增强，例如通过神经刺激。然而，没有已知的算法来检测任务参与与快速时间分辨率。我们定义了一种新的网络度量，固定典型相关（FCCA），特别适合于神经解码应用。我们从人类志愿者的局部场电位记录中提取了FCCA特征，以对参与实验冲突任务的心理努力进行暂时的连续估计。主要结果：我们利用每个参与者的少量特征，准确地解码和区分了任务参与和其他心理活动。此外，解码器在两种不同的基于冲突的任务开始的几秒钟内区分了参与程度。这些结果表明，网络水平的大脑活动可以检测到特定类型的心理活动。这可以构成对决策缺陷作出反应的干预战略的基础。
ObjectiveHere, our objective was to develop a binary decoder to detect task engagement in humans during two distinct, conflict-based behavioral tasks. Effortful, goal-directed decision-making requires the coordinated action of multiple cognitive processes, including attention, working memory and action selection. That type of mental effort is often dysfunctional in mental disorders, eg when a patient attempts to overcome a depression or anxiety-driven habit but feels unable. If the onset of engagement in this type of focused mental activity could be reliably detected, decisional function might be augmented, eg through neurostimulation. However, there are no known algorithms for detecting task engagement with rapid time resolution.ApproachWe defined a new network measure, fixed canonical correlation (FCCA), specifically suited for neural decoding applications. We extracted FCCA features from local field potential recordings in human volunteers to give a temporally continuous estimate of mental effort, defined by engagement in experimental conflict tasks.Main resultsUsing a small number of features per participant, we accurately decoded and distinguished task engagement from other mental activities. Further, the decoder distinguished between engagement in two different conflict-based tasks within seconds of their onset.SignificanceThese results demonstrate that network-level brain activity can detect specific types of mental efforts. This could form the basis of a responsive intervention strategy for decision-making deficits.