Monteverdi Anita, Di Domenico Danila, D'Angelo Egidio, Mapelli Lisa
Brain Connectivity Center, IRCCS Mondino Foundation, 27100 Pavia, Italy.
Department of Brain and Behavioral Sciences, University of Pavia, 27100 Pavia, Italy.
Biomedicines. 2023 May 18;11(5):1475. doi: 10.3390/biomedicines11051475.
The cerebellum is one of the most connected structures of the central nervous system and receives inputs over an extended frequency range. Nevertheless, the frequency dependence of cerebellar cortical processing remains elusive. In this work, we characterized cerebellar cortex responsiveness to mossy fibers activation at different frequencies and reconstructed the spread of activity in the sagittal and coronal planes of acute mouse cerebellar slices using a high-throughput high-density multielectrode array (HD-MEA). The enhanced spatiotemporal resolution of HD-MEA revealed the frequency dependence and spatial anisotropy of cerebellar activation. Mossy fiber inputs reached the Purkinje cell layer even at the lowest frequencies, but the efficiency of transmission increased at higher frequencies. These properties, which are likely to descend from the topographic organization of local inhibition, intrinsic electroresponsiveness, and short-term synaptic plasticity, are critical elements that have to be taken into consideration to define the computational properties of the cerebellar cortex and its pathological alterations.
小脑是中枢神经系统中连接最为广泛的结构之一，能在较宽的频率范围内接收输入信号。然而，小脑皮质处理过程的频率依赖性仍不明确。在这项研究中，我们表征了小脑皮质在不同频率下对苔藓纤维激活的反应，并使用高通量高密度多电极阵列（HD-MEA）在急性小鼠小脑切片的矢状面和冠状面重建了活动的传播。HD-MEA增强的时空分辨率揭示了小脑激活的频率依赖性和空间各向异性。即使在最低频率下，苔藓纤维输入也能到达浦肯野细胞层，但在较高频率下传输效率会提高。这些特性可能源于局部抑制的拓扑组织、内在电反应性和短期突触可塑性，是定义小脑皮质计算特性及其病理改变时必须考虑的关键因素。
