Format

Send to

Choose Destination
Front Neural Circuits. 2013 Dec 24;7:201. doi: 10.3389/fncir.2013.00201. eCollection 2013.

Inference of neuronal network spike dynamics and topology from calcium imaging data.

Author information

1
Laboratory of Neural Circuit Dynamics, Brain Research Institute, University of Zurich Zurich, Switzerland.
2
School of Computer and Communication Sciences and School of Life Sciences, Brain-Mind Institute, Ecole Polytechnique Fédérale de Lausanne Lausanne, Switzerland.
3
Laboratory of Neural Circuit Dynamics, Brain Research Institute, University of Zurich Zurich, Switzerland ; Neuroscience Center Zurich, University of Zurich and ETH Zurich Zurich, Switzerland.

Abstract

Two-photon calcium imaging enables functional analysis of neuronal circuits by inferring action potential (AP) occurrence ("spike trains") from cellular fluorescence signals. It remains unclear how experimental parameters such as signal-to-noise ratio (SNR) and acquisition rate affect spike inference and whether additional information about network structure can be extracted. Here we present a simulation framework for quantitatively assessing how well spike dynamics and network topology can be inferred from noisy calcium imaging data. For simulated AP-evoked calcium transients in neocortical pyramidal cells, we analyzed the quality of spike inference as a function of SNR and data acquisition rate using a recently introduced peeling algorithm. Given experimentally attainable values of SNR and acquisition rate, neural spike trains could be reconstructed accurately and with up to millisecond precision. We then applied statistical neuronal network models to explore how remaining uncertainties in spike inference affect estimates of network connectivity and topological features of network organization. We define the experimental conditions suitable for inferring whether the network has a scale-free structure and determine how well hub neurons can be identified. Our findings provide a benchmark for future calcium imaging studies that aim to reliably infer neuronal network properties.

KEYWORDS:

action potential; calcium; connectivity; hub neurons; reconstruction; scale-free

PMID:
24399936
PMCID:
PMC3871709
DOI:
10.3389/fncir.2013.00201
[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for Frontiers Media SA Icon for PubMed Central
Loading ...
Support Center