Single trial variability in neural activity during a working memory task reveals multiple distinct information processing sequences.
Single trial variability in neural activity during a working memory task reveals multiple distinct information processing sequences.
复制标题
工作记忆任务期间神经活动的单次试验变异性揭示了多个不同的信息处理序列。
DOI：
10.1016/j.neuroimage.2023.119895
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发表时间：
2023
期刊：
影响因子：
5.7
通讯作者：
Muldoon,SarahF
中科院分区：
文献类型：
--
作者：
Nakuci,Johan;Covey,ThomasJ;Shucard,JanetL;Shucard,DavidW;Muldoon,SarahF
要成功地对存储在工作记忆中的信息进行编码、维护和检索，需要多个大脑区域之间持续的活动协调。一般认为，这种协调活动的模式对于一项特定的任务来说保持一致。因此，为了将与任务相关的信号从噪声中分离出来，完成了同一任务的多个试验，并对试验中的神经反应进行平均，以产生事件相关电位(ERP)。然而，从一项试验到另一项试验，脑电记录的神经元活动实际上在空间和时间上是不同的，这与给定任务的单一活动模式的假设相冲突。在这里，我们表明，在单个时间锁定试验中，神经元活动的变异性源于多种形式的刺激依赖的同步活动(即，不同的ERP)的存在。我们开发了一种基于社区检测的数据驱动分类方法，以识别具有不同激活模式的三个离散时空集群或亚型，这些集群或亚型进一步与决策过程中的差异相关。这些结果表明，在工作记忆任务中，神经活动模式的不同代表了不同大脑网络和认知过程的参与程度的波动，这表明大脑可以从多种机制中进行选择来执行给定的任务。
Successful encoding, maintenance, and retrieval of information stored in working memory requires persistent coordination of activity among multiple brain regions. It is generally assumed that the pattern of such coordinated activity remains consistent for a given task. Thus, to separate this task-relevant signal from noise, multiple trials of the same task are completed, and the neural response is averaged across trials to generate an event-related potential (ERP). However, from trial to trial, the neuronal activity recorded with electroencephalogram (EEG) is actually spatially and temporally diverse, conflicting with the assumption of a single pattern of activity for a given task. Here, we show that variability in neuronal activity among single time-locked trials arises from the presence of multiple forms of stimulus dependent synchronized activity (i.e., distinct ERPs). We develop a data-driven classification method based on community detection to identify three discrete spatio-temporal clusters, or subtypes, of trials with different patterns of activation that are further associated with differences in decision-making processes. These results demonstrate that differences in the patterns of neural activity during working memory tasks represent fluctuations in the engagement of distinct brain networks and cognitive processes, suggesting that the brain can choose from multiple mechanisms to perform a given task.