Oscillatory coupling of hippocampal pyramidal cells and interneurons in the behaving rat
Oscillatory coupling of hippocampal pyramidal cells and interneurons in the behaving rat
复制标题
DOI：
10.1523/jneurosci.19-01-00274.1999
复制
发表时间：
1999-01-01
影响因子：
5.3
通讯作者：
Buzsáki, G
中科院分区：
文献类型：
--
作者：
Csicsvari, J;Hirase, H;Buzsáki, G
我们研究了在海马皮层网络中兴奋和抑制是否平衡。细胞外的领域和单单位的活动记录了多个四极和多位点硅探针，以揭示在θ波和尖波爆发（SPW）相关的领域波纹的海马CAI锥体细胞和类的中间神经元的活动的时间。锥体细胞的体细胞抑制和树突抑制分别由锥体层[int（p）]和肺泡和星形细胞[int（a/o）]中的中间神经元的活性推断。int（p）和int（a/o）在θ周期中分别在锥体细胞群体放电之前平均放电60度和20度。SPW波纹与2.5倍的净增加的兴奋。在SPW期间，int（a/o）的放电频率增加、减少（“反SPW”细胞）或不改变（“SPW非依赖性”细胞），表明并非所有中间神经元都受锥体细胞支配。Int（p）与锥体细胞爆发一起（单峰细胞）或在锥体细胞爆发之前和之后（双峰细胞）同时被激发。在快波纹振荡过程中，int（p）和int（a/o）两组中间神经元的活动均滞后于锥体神经元的最大放电概率1-2 msec。网络状态的变化，所反映的领域活动，共变的单细胞和它们之间的相互作用的尖峰序列动态的变化。并行记录的中间神经元，但不是锥体细胞，可靠地预测θ周期的总和活动，而相反的是真实的涟漪周期的SPW。我们认为，网络驱动的兴奋性的变化提供了时间窗口的机会，单个锥体细胞抑制，使，或促进选择性突触输入。
We examined whether excitation and inhibition are balanced in hippocampal cortical networks. Extracellular field and single-unit activity were recorded by multiple tetrodes and multisite silicon probes to reveal the timing of the activity of hippocampal CAI pyramidal cells and classes of interneurons during theta waves and sharp wave burst (SPW)-associated field ripples. The somatic and dendritic inhibition of pyramidal cells was deduced from the activity of interneurons in the pyramidal layer [int(p)] and in the alveus and st. oriens [int(a/o)], respectively. int(p) and int(a/o) discharged an average of 60 and 20 degrees before the population discharge of pyramidal cells during the theta cycle, respectively. SPW ripples were associated with a 2.5-fold net increase of excitation. The discharge frequency of int(a/o) increased, decreased ("anti-SPW" cells), or did not change ("SPW-independent" cells) during SPW suggesting that not all interneurons are innervated by pyramidal cells. Int(p) either fired together with (unimodal cells) or both before and after (bimodal cells) the pyramidal cell burst. During fast-ripple oscillation, the activity of interneurons in both the int(p) and int(a/o) groups lagged the maximum discharge probability of pyramidal neurons by 1-2 msec. Network state changes, as reflected by field activity, covaried with changes in the spike train dynamics of single cells and their interactions. Summed activity of parallel-recorded interneurons, but not of pyramidal cells, reliably predicted theta cycles, whereas the reverse was true for the ripple cycles of SPWs. We suggest that network-driven excitability changes provide temporal windows of opportunity for single pyramidal cells to suppress, enable, or facilitate selective synaptic inputs.