bioRxiv ScienceSearch

Biology subjects

Hierlemann, A.

Publications and source records attributed to Hierlemann, A..

2 recordsLinked to original sources

The axon initial segment drives the neuron’s extracellular action potential

Extracellular voltage fields produced by a neurons action potentials provide a primary means for studying neuron function, yet their biophysical sources remain ambiguous. The neurons soma and dendrites are thought to drive the extracellular action potential (EAP), while the axon is usually ignored. However, by recording voltages of single neurons in dissociated rat cortical cultures and Purkinje cells in acute mouse cerebellar slices at hundreds of sites, we find instead that the axon initial segment dominates the EAP, and, surprisingly, the soma shows little or no influence. As expected, this signal has negative polarity (charge entering the cell) and initiates at the distal end. Interestingly, signals with positive polarity (charge exiting the cell) occur near some but not all dendritic branches and occur after a delay. Such basic knowledge about which neuronal compartments contribute to the extracellular voltage field is important for interpreting results from all electrical readout schemes. Moreover, this finding shows that changes in the AIS position and function can be observed in high spatiotemporal detail by means of high-density extracellular electrophysiology.\n\nKey points summaryO_LIThe neurons soma and dendrites are thought to give rise to its extracellular voltage signal, while signals from the axon are usually considered negligible.\nC_LIO_LIInstead, we found that the largest amplitude of the extracellular signal originates from the axon initial segment, not from the soma.\nC_LIO_LIThis finding shows that changes in the AIS position and function can be observed in high spatiotemporal detail by means of high-density extracellular electrophysiology.\nC_LI\n\nAbbreviations

neuroscience

Network Analysis Of High-Density Microelectrode Recordings

A high-density microelectrode arrays (HDMEA) with 3,150 electrodes per square millimetre was used to capture neuronal activity across various scales, including axons, dendrites, and networks. We present a new method for high-throughput segmentation of axons based on the spatial smoothness of signal delays. Comparison with both ground truth and receiver operator characteristics shows that the new segmentation method outperforms previous methods based on the signal-amplitude-to-noise ratio. Structural and functional neuronal network connectivity were reconstructed using a common extension of \"Peters rule\" and a inter-spike histogram method, respectively. Approximately one third of these connections are putative chemical synapses. We evaluated the spike patterns but did not find evidence for \"polychronisation\" (non-synchronous but precisely timed spike sequences). The developed framework can be used to investigate the relationship between the topology of neuronal connections and emerging temporal spike patterns observed in dissociated neuronal cultures.

neuroscience