Wimmer Klaus, Ramon Marc, Pasternak Tatiana, Compte Albert
Institut d'Investigacions Biomèdiques August Pi i Sunyer, 08036 Barcelona, Spain, and.
Department of Neurobiology and Anatomy, University of Rochester, Rochester, New York 14642.
J Neurosci. 2016 Jan 13;36(2):489-505. doi: 10.1523/JNEUROSCI.3678-15.2016.
Neuronal activity in the lateral prefrontal cortex (LPFC) reflects the structure and cognitive demands of memory-guided sensory discrimination tasks. However, we still do not know how neuronal activity articulates in network states involved in perceiving, remembering, and comparing sensory information during such tasks. Oscillations in local field potentials (LFPs) provide fingerprints of such network dynamics. Here, we examined LFPs recorded from LPFC of macaques while they compared the directions or the speeds of two moving random-dot patterns, S1 and S2, separated by a delay. LFP activity in the theta, beta, and gamma bands tracked consecutive components of the task. In response to motion stimuli, LFP theta and gamma power increased, and beta power decreased, but showed only weak motion selectivity. In the delay, LFP beta power modulation anticipated the onset of S2 and encoded the task-relevant S1 feature, suggesting network dynamics associated with memory maintenance. After S2 onset the difference between the current stimulus S2 and the remembered S1 was strongly reflected in broadband LFP activity, with an early sensory-related component proportional to stimulus difference and a later choice-related component reflecting the behavioral decision buildup. Our results demonstrate that individual LFP bands reflect both sensory and cognitive processes engaged independently during different stages of the task. This activation pattern suggests that during elementary cognitive tasks, the prefrontal network transitions dynamically between states and that these transitions are characterized by the conjunction of LFP rhythms rather than by single LFP bands.
Neurons in the brain communicate through electrical impulses and coordinate this activity in ensembles that pulsate rhythmically, very much like musical instruments in an orchestra. These rhythms change with "brain state," from sleep to waking, but also signal with different oscillation frequencies rapid changes between sensory and cognitive processing. Here, we studied rhythmic electrical activity in the monkey prefrontal cortex, an area implicated in working memory, decision making, and executive control. Monkeys had to identify and remember a visual motion pattern and compare it to a second pattern. We found orderly transitions between rhythmic activity where the same frequency channels were active in all ongoing prefrontal computations. This supports prefrontal circuit dynamics that transitions rapidly between complex rhythmic patterns during structured cognitive tasks.
外侧前额叶皮层(LPFC)中的神经元活动反映了记忆引导的感觉辨别任务的结构和认知需求。然而,我们仍然不知道在这类任务中,神经元活动在参与感知、记忆和比较感觉信息的网络状态中是如何协调的。局部场电位(LFP)的振荡提供了这种网络动态的特征。在这里,我们记录了猕猴LPFC的LFP,同时它们比较了两个由延迟隔开的移动随机点图案S1和S2的方向或速度。θ、β和γ频段的LFP活动跟踪了任务的连续组成部分。对运动刺激的反应中,LFP的θ和γ功率增加,β功率降低,但运动选择性较弱。在延迟期间,LFP的β功率调制预测了S2的开始,并编码了与任务相关的S1特征,表明与记忆维持相关的网络动态。S2开始后,当前刺激S2与记忆中的S1之间的差异在宽带LFP活动中得到强烈反映,早期与感觉相关的成分与刺激差异成正比,后期与选择相关的成分反映了行为决策的形成。我们的结果表明,各个LFP频段反映了在任务不同阶段独立参与的感觉和认知过程。这种激活模式表明,在基本认知任务中,前额叶网络在不同状态之间动态转换,并且这些转换的特征是LFP节律的结合,而不是单个LFP频段。
大脑中的神经元通过电脉冲进行通信,并在有节奏地脉动的集合中协调这种活动,非常类似于管弦乐队中的乐器。这些节律随着“大脑状态”而变化,从睡眠到清醒,而且还以不同的振荡频率信号表示感觉和认知处理之间的快速变化。在这里,我们研究了猴子前额叶皮层中的节律性电活动,该区域与工作记忆、决策和执行控制有关。猴子必须识别并记住一个视觉运动模式,并将其与第二个模式进行比较。我们发现在有节奏的活动之间有有序的转换,其中相同的频率通道在所有正在进行的前额叶计算中都是活跃的。这支持了前额叶电路动态,即在结构化认知任务期间在复杂的节律模式之间快速转换。