Optimizing fluctuation analysis of GABA Aergic IPSCs for accurate unitary currents

Abstract

Nonstationary fluctuation analysis of synaptic currents requires division of currents into bins of time, with little agreement on how to select an optimal bin width. We used simulated inhibitory postsynaptic currents (simIPSCs) in an empirical approach to establish the optimal bin width needed for estimation of the unitary current, i e. We found acceptable accuracy (≤5%) at bin widths shorter than the length of the stationary segment of simIPSCs that persisted when Gaussian noise was added to the simulated currents. We also studied evoked and spontaneous IPSCs mediated by receptors for γ-aminobutyrate (GABA) in thalamic neurons. Similar to simIPSCs, analysis of the IPSCs yielded saturating relationships between bin width and accuracy of unitary current estimate. Whereas standard error decreased, the accuracy of i e estimates increased with decreasing bin width, forming a plateau at bins below 2–3 ms in duration. Using this approach, one can reliably determine the optimal bin width for nonstationary noise analysis.