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Dissecting estimation of conductances in subthreshold regimes
BMC Neuroscience volume 15, Article number: P151 (2014)
We study the influence of subthreshold activity in the estimation of synaptic conductances when linear regression methods based on the current-voltage relationship are used. It is known that differences between actual conductances and the estimated ones using such methods can be huge in spiking regimes, so caution has been taken to remove spiking activity from many experimental data before proceeding to linear estimation. However, not much attention has been paid to the influence of ionic currents active in the non-spiking regime. We use a conductance-based model endowed both with an afterhyperpolarizing current and a low subthreshold current to show that the activity of these currents during subthreshold activity can lead to significant errors in synaptic conductance estimation (see Table 1 and Figure 1). More precisely, we found errors higher than 100% in the estimation of excitatory conductances and up to 30% approximately for inhibitory conductances, mean errors being also significantly large. Therefore, conclusions obtained from experimental data by means of this estimation procedure need to be properly reanalyzed.
Our results add a new warning message when extracting conductance traces from intracellular recordings and the conclusions concerning neuronal activity that can be drawn from them. It also stimulates challenging questions in developing theoretical efficient methods to properly estimate synaptic conductances from voltage traces.
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Vich, C., Guillamon, A. Dissecting estimation of conductances in subthreshold regimes. BMC Neurosci 15 (Suppl 1), P151 (2014). https://doi.org/10.1186/1471-2202-15-S1-P151
- Estimation Procedure
- Ionic Current
- Spike Activity
- Intracellular Recording
- Linear Regression Method