Department of Psychology, Florida International University.
Cognitive Neuroscience Program, Florida International University.
Behav Neurosci. 2020 Dec;134(6):529-546. doi: 10.1037/bne0000409. Epub 2020 Jul 16.
Delta-frequency network activity is commonly associated with sleep or behavioral disengagement accompanied by a dearth of cortical spiking, but delta in awake behaving animals is not well understood. We show that hippocampal (HC) synchronization in the delta frequency band (1-4 Hz) is related to animals' locomotor behavior using detailed analyses of the HC local field potential (LFP) and simultaneous head- and body-tracking data. In contrast to running-speed modulation of the theta rhythm (6-10 Hz), delta was most prominent when animals were stationary or moving slowly, that is, when theta and fast gamma (65-120 Hz) were weak, and often developed rapidly when animals paused briefly between runs. We next combined time-frequency decomposition of the LFP with hierarchical clustering algorithms to categorize momentary estimations of the power spectral density (PSD) into putative modes of HC activity. Delta and theta power were strikingly orthogonal across spectral modes, as well as across bouts of precisely defined running and stationary behavior. Delta-band and theta-band coherences between HC recording sites were monotonically related to theta-delta ratios across modes; and whereas theta coherence between HC and medial prefrontal cortex (mPFC) increased during running, delta-band coherence between mPFC and HC increased during stationary bouts. Taken together, our findings suggest that delta-dominated network modes (and corresponding mPFC-HC couplings) represent functionally distinct circuit dynamics that are temporally and behaviorally interspersed among theta-dominated modes during navigation. As such, delta modes could play a fundamental role in coordinating encoding and retrieval mechanisms or decision-making processes at a timescale that segments event sequences within behavioral episodes. (PsycInfo Database Record (c) 2021 APA, all rights reserved).
Delta 频率网络活动通常与睡眠或行为脱离有关,伴随着皮质尖峰活动的减少,但清醒状态下动物的 delta 活动还没有得到很好的理解。我们使用海马体局部场电位 (LFP) 和同时的头部和身体跟踪数据的详细分析,表明 delta 频带 (1-4 Hz) 中的海马体同步与动物的运动行为有关。与 theta 节律 (6-10 Hz) 的运行速度调制相反,当动物静止或缓慢移动时,delta 最为突出,即当 theta 和快 gamma (65-120 Hz) 较弱时,并且当动物在奔跑之间短暂停顿时,它通常会迅速发展。接下来,我们将 LFP 的时频分解与层次聚类算法相结合,将 LFP 的功率谱密度 (PSD) 的瞬时估计分类为海马体活动的假设模式。在不同的光谱模式之间,以及在精确定义的运行和静止行为之间,delta 和 theta 功率都非常正交。海马体记录部位之间的 delta 频带和 theta 频带相干性与模式之间的 theta-delta 比值呈单调关系;而当海马体和内侧前额叶皮层 (mPFC) 之间的 theta 相干性在奔跑过程中增加时,mPFC 和海马体之间的 delta 频带相干性在静止时增加。总的来说,我们的研究结果表明,以 delta 为主导的网络模式 (以及相应的 mPFC-海马体耦合) 代表了功能上不同的电路动力学,在导航过程中,它们在时间上和行为上穿插在以 theta 为主导的模式中。因此,delta 模式可能在协调编码和检索机制或决策过程中发挥基本作用,在行为事件序列中划分时间尺度。(PsycInfo 数据库记录 (c) 2021 APA,保留所有权利)。