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Neuroinformatics
2023 Jan 01;211:207-220. doi: 10.1007/s12021-022-09609-z.
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An Algorithm Based on a Cable-Nernst Planck Model Predicting Synaptic Activity throughout the Dendritic Arbor with Micron Specificity.
Guerrier C
,
Dellazizzo Toth T
,
Galtier N
,
Haas K
.
Abstract
Recent technological advances have enabled the recording of neurons in intact circuits with a high spatial and temporal resolution, creating the need for modeling with the same precision. In particular, the development of ultra-fast two-photon microscopy combined with fluorescence-based genetically-encoded Ca2+-indicators allows capture of full-dendritic arbor and somatic responses associated with synaptic input and action potential output. The complexity of dendritic arbor structures and distributed patterns of activity over time results in the generation of incredibly rich 4D datasets that are challenging to analyze (Sakaki et al. in Frontiers in Neural Circuits 14:33, 2020). Interpreting neural activity from fluorescence-based Ca2+ biosensors is challenging due to non-linear interactions between several factors influencing intracellular calcium ion concentration and its binding to sensors, including the ionic dynamics driven by diffusion, electrical gradients and voltage-gated conductances. To investigate those dynamics, we designed a model based on a Cable-like equation coupled to the Nernst-Planck equations for ionic fluxes in electrolytes. We employ this model to simulate signal propagation and ionic electrodiffusion across a dendritic arbor. Using these simulation results, we then designed an algorithm to detect synapses from Ca2+ imaging datasets. We finally apply this algorithm to experimental Ca2+-indicator datasets from neurons expressing jGCaMP7s (Dana et al. in Nature Methods 16:649-657, 2019), using full-dendritic arbor sampling in vivo in the Xenopus laevis optic tectum using fast random-access two-photon microscopy. Our model reproduces the dynamics of visual stimulus-evoked jGCaMP7s-mediated calcium signals observed experimentally, and the resulting algorithm allows prediction of the location of synapses across the dendritic arbor. Our study provides a way to predict synaptic activity and location on dendritic arbors, from fluorescence data in the full dendritic arbor of a neuron recorded in the intact and awake developing vertebrate brain.
Bono,
Modeling somatic and dendritic spike mediated plasticity at the single neuron and network level.
2017, Pubmed
Bono,
Modeling somatic and dendritic spike mediated plasticity at the single neuron and network level.
2017,
Pubmed
Brette,
Adaptive exponential integrate-and-fire model as an effective description of neuronal activity.
2005,
Pubmed
Dana,
High-performance calcium sensors for imaging activity in neuronal populations and microcompartments.
2019,
Pubmed
Demas,
Vision drives correlated activity without patterned spontaneous activity in developing Xenopus retina.
2012,
Pubmed
,
Xenbase
Dou,
The CAG promoter maintains high-level transgene expression in HEK293 cells.
2021,
Pubmed
Engert,
Moving visual stimuli rapidly induce direction sensitivity of developing tectal neurons.
2002,
Pubmed
,
Xenbase
Gonzalez,
Dendritic Excitability and Synaptic Plasticity In Vitro and In Vivo.
2022,
Pubmed
Gross,
Recombinant probes for visualizing endogenous synaptic proteins in living neurons.
2013,
Pubmed
Haas,
Single-cell electroporation for gene transfer in vivo.
2001,
Pubmed
,
Xenbase
Harkin,
A User's Guide to Generalized Integrate-and-Fire Models.
2022,
Pubmed
HODGKIN,
A quantitative description of membrane current and its application to conduction and excitation in nerve.
1952,
Pubmed
Holcman,
The new nanophysiology: regulation of ionic flow in neuronal subcompartments.
2015,
Pubmed
Honda,
Analysis of development of direction selectivity in retinotectum by a neural circuit model with spike timing-dependent plasticity.
2011,
Pubmed
,
Xenbase
Kazemipour,
Kilohertz frame-rate two-photon tomography.
2019,
Pubmed
Kim,
High cleavage efficiency of a 2A peptide derived from porcine teschovirus-1 in human cell lines, zebrafish and mice.
2011,
Pubmed
Laviv,
Simultaneous dual-color fluorescence lifetime imaging with novel red-shifted fluorescent proteins.
2016,
Pubmed
Lavzin,
Nonlinear dendritic processing determines angular tuning of barrel cortex neurons in vivo.
2012,
Pubmed
Li,
In vivo time-lapse imaging and serial section electron microscopy reveal developmental synaptic rearrangements.
2011,
Pubmed
,
Xenbase
London,
Dendritic computation.
2005,
Pubmed
Lopreore,
Computational modeling of three-dimensional electrodiffusion in biological systems: application to the node of Ranvier.
2008,
Pubmed
Lu,
Poisson-Nernst-Planck Equations for Simulating Biomolecular Diffusion-Reaction Processes I: Finite Element Solutions.
2010,
Pubmed
Øyehaug,
Dependence of spontaneous neuronal firing and depolarisation block on astroglial membrane transport mechanisms.
2012,
Pubmed
Pods,
Electrodiffusion models of neurons and extracellular space using the Poisson-Nernst-Planck equations--numerical simulation of the intra- and extracellular potential for an axon model.
2013,
Pubmed
Redmond,
Regulation of dendritic development by calcium signaling.
2005,
Pubmed
Sakaki,
Comprehensive Imaging of Sensory-Evoked Activity of Entire Neurons Within the Awake Developing Brain Using Ultrafast AOD-Based Random-Access Two-Photon Microscopy.
2020,
Pubmed
,
Xenbase
Savtchenko,
Electrodiffusion phenomena in neuroscience: a neglected companion.
2017,
Pubmed
Segal,
Endoplasmic reticulum calcium stores in dendritic spines.
2014,
Pubmed
Waters,
Backpropagating action potentials in neurones: measurement, mechanisms and potential functions.
2005,
Pubmed
Wu,
Maturation of a central glutamatergic synapse.
1996,
Pubmed
,
Xenbase