Lara-González Esther, Padilla-Orozco Montserrat, Fuentes-Serrano Alejandra, Bargas José, Duhne Mariana
División Neurociencias, Instituto de Fisiología Celular, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Department of Neuroscience, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States.
Front Syst Neurosci. 2022 Aug 24;16:979680. doi: 10.3389/fnsys.2022.979680. eCollection 2022.
Multi-recording techniques show evidence that neurons coordinate their firing forming ensembles and that brain networks are made by connections between ensembles. While "canonical" microcircuits are composed of interconnected principal neurons and interneurons, it is not clear how they participate in recorded neuronal ensembles: "groups of neurons that show spatiotemporal co-activation". Understanding synapses and their plasticity has become complex, making hard to consider all details to fill the gap between cellular-synaptic and circuit levels. Therefore, two assumptions became necessary: First, whatever the nature of the synapses these may be simplified by "functional connections". Second, whatever the mechanisms to achieve synaptic potentiation or depression, the resultant synaptic weights are relatively stable. Both assumptions have experimental basis cited in this review, and tools to analyze neuronal populations are being developed based on them. Microcircuitry processing followed with multi-recording techniques show temporal sequences of neuronal ensembles resembling computational routines. These sequences can be aligned with the steps of behavioral tasks and behavior can be modified upon their manipulation, supporting the hypothesis that they are memory traces. In vitro, recordings show that these temporal sequences can be contained in isolated tissue of histological scale. Sequences found in control conditions differ from those recorded in pathological tissue obtained from animal disease models and those recorded after the actions of clinically useful drugs to treat disease states, setting the basis for new bioassays to test drugs with potential clinical use. These findings make the neuronal ensembles theoretical framework a dynamic neuroscience paradigm.
多种记录技术表明,神经元通过形成集群来协调它们的放电,并且脑网络是由集群之间的连接构成的。虽然“典型”微电路由相互连接的主神经元和中间神经元组成,但尚不清楚它们如何参与记录到的神经元集群:“表现出时空共激活的神经元组”。理解突触及其可塑性变得很复杂,难以考虑所有细节来填补细胞 - 突触水平和电路水平之间的差距。因此,有两个假设变得必要:第一,无论突触的性质如何,这些突触都可以通过“功能连接”来简化。第二,无论实现突触增强或抑制的机制如何,由此产生的突触权重相对稳定。这两个假设在本综述中都有实验依据,并且基于它们正在开发分析神经元群体的工具。采用多种记录技术进行的微电路处理显示,神经元集群的时间序列类似于计算程序。这些序列可以与行为任务的步骤对齐,并且在对其进行操作时行为可以被改变,这支持了它们是记忆痕迹的假设。在体外,记录表明这些时间序列可以包含在组织学尺度的分离组织中。在对照条件下发现的序列与从动物疾病模型获得的病理组织中记录的序列以及在治疗疾病状态的临床有用药物作用后记录的序列不同,这为测试具有潜在临床用途的药物的新生物测定奠定了基础。这些发现使神经元集群理论框架成为一种动态神经科学范式。