Department of Integrative Neurophysiology, Center for Neurogenomics and Cognitive Research, Neuroscience Campus Amsterdam, VU University, 1081 HV Amsterdam, The Netherlands.
Cereb Cortex. 2012 Jun;22(6):1333-42. doi: 10.1093/cercor/bhr224. Epub 2011 Aug 19.
Neuronal theories of neurodevelopmental disorders (NDDs) of autism and mental retardation propose that abnormal connectivity underlies deficits in attentional processing. We tested this theory by studying unitary synaptic connections between layer 5 pyramidal neurons within medial prefrontal cortex (mPFC) networks in the Fmr1-KO mouse model for mental retardation and autism. In line with predictions from neurocognitive theory, we found that neighboring pyramidal neurons were hyperconnected during a critical period in early mPFC development. Surprisingly, excitatory synaptic connections between Fmr1-KO pyramidal neurons were significantly slower and failed to recover from short-term depression as quickly as wild type (WT) synapses. By 4-5 weeks of mPFC development, connectivity rates were identical for both KO and WT pyramidal neurons and synapse dynamics changed from depressing to facilitating responses with similar properties in both groups. We propose that the early alteration in connectivity and synaptic recovery are tightly linked: using a network model, we show that slower synapses are essential to counterbalance hyperconnectivity in order to maintain a dynamic range of excitatory activity. However, the slow synaptic time constants induce decreased responsiveness to low-frequency stimulation, which may explain deficits in integration and early information processing in attentional neuronal networks in NDDs.
神经发育障碍(NDD)的神经学说,如自闭症和智力迟钝,提出异常连接是注意力处理缺陷的基础。我们通过研究内侧前额叶皮层(mPFC)网络中 Fmr1-KO 小鼠模型的单位突触连接,检验了这一理论。与神经认知理论的预测一致,我们发现相邻的锥体神经元在 mPFC 早期发育的关键时期过度连接。令人惊讶的是,Fmr1-KO 锥体神经元之间的兴奋性突触连接明显较慢,无法像 WT 突触一样从短期抑郁中迅速恢复。到 mPFC 发育的 4-5 周时,KO 和 WT 锥体神经元的连接率相同,突触动力学从抑制转变为促进,两组的反应特性相似。我们提出,连接和突触恢复的早期改变紧密相关:使用网络模型,我们表明较慢的突触对于平衡过度连接是必不可少的,以维持兴奋性活动的动态范围。然而,较慢的突触时间常数会降低对低频刺激的反应性,这可能解释了 NDD 中注意力神经元网络在整合和早期信息处理方面的缺陷。