Laboratory of Behavioral and Cognitive Neurology, Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford University, Stanford, CA 94305, USA.
Proc Natl Acad Sci U S A. 2012 Sep 18;109(38):15514-9. doi: 10.1073/pnas.1206580109. Epub 2012 Sep 4.
Our understanding of the human default mode network derives primarily from neuroimaging data but its electrophysiological correlates remain largely unexplored. To address this limitation, we recorded intracranially from the human posteromedial cortex (PMC), a core structure of the default mode network, during various conditions of internally directed (e.g., autobiographical memory) as opposed to externally directed focus (e.g., arithmetic calculation). We observed late-onset (>400 ms) increases in broad high γ-power (70-180 Hz) within PMC subregions during memory retrieval. High γ-power was significantly reduced or absent when subjects retrieved self-referential semantic memories or responded to self-judgment statements, respectively. Conversely, a significant deactivation of high γ-power was observed during arithmetic calculation, the duration of which correlated with reaction time at the signal-trial level. Strikingly, at each recording site, the magnitude of activation during episodic autobiographical memory retrieval predicted the degree of suppression during arithmetic calculation. These findings provide important anatomical and temporal details-at the neural population level-of PMC engagement during autobiographical memory retrieval and address how the same populations are actively suppressed during tasks, such as numerical processing, which require externally directed attention.
我们对人类默认模式网络的理解主要来自神经影像学数据,但它的电生理相关性在很大程度上仍未得到探索。为了解决这一限制,我们在人类后内侧皮层(PMC)进行了颅内记录,PMC 是默认模式网络的核心结构,在此期间进行了各种内部导向(例如自传体记忆)和外部导向(例如算术计算)的实验。我们观察到在记忆检索过程中,PMC 亚区的宽高频γ功率(70-180 Hz)在后期(>400 ms)增加。当受试者检索自我参照语义记忆或对自我判断语句做出反应时,高γ功率显著降低或不存在。相反,在算术计算过程中观察到高频γ功率的显著去激活,其持续时间与信号试验水平的反应时间相关。引人注目的是,在每个记录点,情节性自传体记忆检索过程中的激活程度预测了在算术计算过程中的抑制程度。这些发现提供了 PMC 在自传体记忆检索过程中参与的重要解剖学和时间细节——在神经群体水平上,并解决了在需要外部导向注意力的任务(如数字处理)中,相同群体如何被主动抑制的问题。