Shein Mark, Volman Vladislav, Raichman Nadav, Hanein Yael, Ben-Jacob Eshel
School of Physics and Astronomy, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel.
Phys Biol. 2008 Sep 9;5(3):036008. doi: 10.1088/1478-3975/5/3/036008.
Increasing evidence supports the idea that spontaneous brain activity may have an important functional role. Cultured neuronal networks provide a suitable model system to search for the mechanisms by which neuronal spontaneous activity is maintained and regulated. This activity is marked by synchronized bursting events (SBEs)--short time windows (hundreds of milliseconds) of rapid neuronal firing separated by long quiescent periods (seconds). However, there exists a special subset of rapidly firing neurons whose activity also persists between SBEs. It has been proposed that these highly active (HA) neurons play an important role in the management (i.e. establishment, maintenance and regulation) of the synchronized network activity. Here, we studied the dynamical properties and the functional role of HA neurons in homogeneous and engineered networks, during early network development, upon recovery from chemical inhibition and in response to electrical stimulations. We found that their sequences of inter-spike intervals (ISI) exhibit long time correlations and a unimodal distribution. During the network's development and under intense inhibition, the observed activity follows a transition period during which mostly HA neurons are active. Studying networks with engineered geometry, we found that HA neurons are precursors (the first to fire) of the spontaneous SBEs and are more responsive to electrical stimulations.
越来越多的证据支持这样一种观点,即大脑自发活动可能具有重要的功能作用。培养的神经元网络提供了一个合适的模型系统,用于探寻神经元自发活动得以维持和调节的机制。这种活动的特征是同步爆发事件(SBEs)——快速神经元放电的短时间窗口(数百毫秒),其间间隔着较长的静止期(数秒)。然而,存在一个快速放电神经元的特殊子集,其活动在SBEs之间也持续存在。有人提出,这些高活性(HA)神经元在同步网络活动的管理(即建立、维持和调节)中发挥重要作用。在此,我们研究了HA神经元在均匀网络和工程网络中的动力学特性及功能作用,研究内容包括网络早期发育阶段、从化学抑制中恢复时以及对电刺激的反应。我们发现,它们的峰峰间隔(ISI)序列表现出长时间相关性和单峰分布。在网络发育过程中以及在强烈抑制下,观察到的活动遵循一个过渡期,在此期间主要是HA神经元活跃。通过研究具有工程几何结构的网络,我们发现HA神经元是自发SBEs的先驱(最先放电),并且对电刺激更敏感。