Bowdoin College.
Brown University.
J Cogn Neurosci. 2018 Feb;30(2):174-187. doi: 10.1162/jocn_a_01194. Epub 2017 Oct 6.
Evidence from fMRI has consistently located a widespread network of frontal, parietal, and temporal lobe regions during episodic retrieval. However, the temporal limitations of the fMRI methodology have made it difficult to assess the transient network dynamics by which these distributed regions coordinate activity. Recent evidence suggests that beta oscillations (17-20 Hz) are important for top-down control for memory suppression. However, the spatial limitations of the EEG methodology make it difficult to assess the relationship between these oscillatory signals and the distributed networks identified with fMRI. This study used simultaneous EEG/fMRI to identify networks related to beta oscillations during episodic retrieval. Participants studied adjectives and either imagined a scene (Place Task) or judged its pleasantness (Pleasant Task). During the recognition test, participants decided which task was performed with each word ("Old Place Task" or "Old Pleasant Task") or "New." EEG results revealed that posterior beta power was greater for new than old words. fMRI results revealed activity in a frontal, parietal network that was greater for old than new words, consistent with prior studies. Although overall beta power increases correlated with decreased activity within a predominantly parietal network, within the right dorsolateral and ventrolateral pFC, beta power correlated with BOLD activity more under conditions requiring more cognitive control and EEG/fMRI effects in the right frontal cortex correlated with BOLD activity in a frontoparietal network. Therefore, using simultaneous EEG and fMRI, the present results suggest that beta oscillations are related to postretrieval control operations in the right frontal cortex and act within a broader postretrieval control network.
功能磁共振成像(fMRI)的证据一致表明,在情景回忆过程中,额、顶和颞叶区域存在一个广泛的网络。然而,fMRI 方法的时间限制使得很难评估这些分布式区域协调活动的瞬态网络动态。最近的证据表明,β 振荡(17-20 Hz)对于记忆抑制的自上而下控制很重要。然而,脑电图(EEG)方法的空间限制使得很难评估这些振荡信号与 fMRI 识别的分布式网络之间的关系。本研究使用同步 EEG/fMRI 来识别情景回忆过程中与β振荡相关的网络。参与者学习形容词,然后想象一个场景(位置任务)或判断其愉悦度(愉悦任务)。在识别测试中,参与者决定每个单词是在哪个任务中出现的(“旧位置任务”或“旧愉悦任务”)或“新”。EEG 结果显示,新单词的后β功率大于旧单词。fMRI 结果显示,旧单词的额顶网络活动大于新单词,这与之前的研究一致。尽管总体β功率增加与主要位于顶叶网络的活动减少相关,但在需要更多认知控制的条件下,右侧背外侧和腹外侧额皮质中的β功率与 BOLD 活动相关,而右侧额叶皮层中的 EEG/fMRI 效应与额顶网络中的 BOLD 活动相关。因此,使用同步 EEG 和 fMRI,本研究结果表明,β 振荡与右侧额叶皮层的回忆后控制操作有关,并在更广泛的回忆后控制网络中起作用。