Bidirectional flow of action potentials in axons drives activity dynamics in neuronal cultures

2021 ◽  
Author(s):  
José Mateus ◽  
Cátia Lopes ◽  
Miguel Aroso ◽  
Ana Costa ◽  
Ana Geros ◽  
...  
Keyword(s):  
Network Activity ◽  
Neuronal Cultures ◽  
Axonal Conduction ◽  
Technological Advances ◽  
Transduction Mechanisms ◽  
Or Gene ◽  
Bidirectional Propagation ◽  
Bidirectional Flow ◽  
Activity Dynamics

Abstract Objective: Recent technological advances are revealing the complex physiology of the axon and challenging long-standing assumptions. Namely, while most action potential (AP) initiation occurs at the axon initial segment in central nervous system neurons, initiation in distal parts of the axon has been reported to occur in both physiological and pathological conditions. The functional role of these ectopic APs, if exists, is still not clear, nor its impact on network activity dynamics. Approach: Using an electrophysiology platform specifically designed for assessing axonal conduction we show here for the first time regular and effective bidirectional axonal conduction in hippocampal and dorsal root ganglia cultures. We investigate and characterize this bidirectional propagation both in physiological conditions and after distal axotomy. Main results: A significant fraction of APs are not coming from the canonical synapse-dendrite-soma signal flow, but instead from signals originating at the distal axon. Importantly, antidromic APs may carry information and can have a functional impact on the neuron, as they consistently depolarize the soma. Thus, plasticity or gene transduction mechanisms triggered by soma depolarization can also be affected by these antidromic APs. Conduction velocity is asymmetrical, with antidromic conduction being slower than orthodromic. Significance: Altogether these findings have important implications for the study of neuronal function in vitro, reshaping our understanding on how information flows in neuronal cultures.

scholarly journals In vitro neuronal networks show bidirectional axonal conduction with antidromic action potentials effectively depolarizing the soma

2021 ◽  
Author(s):  
JC Mateus ◽  
CDF Lopes ◽  
M Aroso ◽  
AR Costa ◽  
A Gerós ◽  
...  
Keyword(s):  
Action Potential ◽  
Action Potentials ◽  
Neuronal Networks ◽  
Neuronal Cultures ◽  
Neuronal Function ◽  
Axonal Conduction ◽  
Technological Advances ◽  
Transduction Mechanisms ◽  
Or Gene

ABSTRACTRecent technological advances are revealing the complex physiology of the axon and challenging long-standing assumptions. Namely, while most action potential (AP) initiation occurs at the axon initial segment in central nervous system neurons, initiation in distal parts of the axon has been shown to occur in both physiological and pathological conditions. However, such ectopic action potential (EAP) activity has not been reported yet in studies using in vitro neuronal networks and its functional role, if exists, is still not clear. Here, we report the spontaneous occurrence of EAPs and effective antidromic conduction in hippocampal neuronal cultures. We also observe a significant fraction of bidirection axonal conduction in dorsal root ganglia neuronal cultures. We set out to investigate and characterize this antidromic propagation via a combination of microelectrode arrays, microfluidics, advanced data analysis and in silico studies. We show that EAPs and antidromic conduction can occur spontaneously, and also after distal axotomy or physiological changes in the axon biochemical environment. Importantly, EAPs may carry information (as orthodromic action potentials do) and can have a functional impact on the neuron, as they consistently depolarize the soma. Plasticity or gene transduction mechanisms triggered by soma depolarization can, therefore, be also affected by these antidromic action potentials/EAPs. Finally, we show that this bidirectional axonal conduction is asymmetrical, with antidromic conduction being slower than orthodromic. Via computational modeling, we show that the experimental difference can be explained by axonal morphology. Altogether, these findings have important implications for the study of neuronal function in vitro, reshaping completely our understanding on how information flows in neuronal cultures.

scholarly journals Early prediction of developing spontaneous activity in cultured neuronal networks

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
David Cabrera-Garcia ◽  
Davide Warm ◽  
Pablo de la Fuente ◽  
M. Teresa Fernández-Sánchez ◽  
Antonello Novelli ◽  
...  
Keyword(s):  
Machine Learning ◽  
Spontaneous Activity ◽  
Early Development ◽  
Neuronal Network ◽  
Multivariate Adaptive Regression Splines ◽  
Network Activity ◽  
Support Vector ◽  
Neuronal Cultures ◽  
Neuronal Network Activity

AbstractSynchronization and bursting activity are intrinsic electrophysiological properties of in vivo and in vitro neural networks. During early development, cortical cultures exhibit a wide repertoire of synchronous bursting dynamics whose characterization may help to understand the parameters governing the transition from immature to mature networks. Here we used machine learning techniques to characterize and predict the developing spontaneous activity in mouse cortical neurons on microelectrode arrays (MEAs) during the first three weeks in vitro. Network activity at three stages of early development was defined by 18 electrophysiological features of spikes, bursts, synchrony, and connectivity. The variability of neuronal network activity during early development was investigated by applying k-means and self-organizing map (SOM) clustering analysis to features of bursts and synchrony. These electrophysiological features were predicted at the third week in vitro with high accuracy from those at earlier times using three machine learning models: Multivariate Adaptive Regression Splines, Support Vector Machines, and Random Forest. Our results indicate that initial patterns of electrical activity during the first week in vitro may already predetermine the final development of the neuronal network activity. The methodological approach used here may be applied to explore the biological mechanisms underlying the complex dynamics of spontaneous activity in developing neuronal cultures.

scholarly journals Quantitation of Chronic and Acute Treatment Effects on Neuronal Network Activity Using Image and Signal Analysis

2013 ◽  
Vol 18 (7) ◽  
pp. 807-819 ◽  
Author(s):  
Frans Cornelissen ◽  
Peter Verstraelen ◽  
Tobias Verbeke ◽  
Isabel Pintelon ◽  
Jean-Pierre Timmermans ◽  
...  
Keyword(s):  
Neuronal Cell ◽  
Network Activity ◽  
Cell Segmentation ◽  
Neuronal Cultures ◽  
Nuclear Staining ◽  
Primary Neuronal Cultures ◽  
Independent Manner ◽  
Neuronal Network Activity ◽  
Decay Times

Upon maturation, primary neuronal cultures form an interconnected network based on neurite outgrowth and synaptogenesis in which spontaneous electrical activity arises. Measurement of network activity allows quantification of neuronal health and maturation. A fluorescent indicator was used to monitor secondary calcium influxes after the occurrence of action potentials, allowing us to examine activity of hippocampal cultures via confocal live cell imaging. Subsequently, nuclear staining with DAPI allows accurate cell segmentation. To analyze the calcium recording in a robust, observer-independent manner, we implemented an automated image- and signal-processing algorithm and validated it against a visual, interactive procedure. Both methods yielded similar results on the emergence of synchronized activity and allowed robust quantitative measurement of acute and chronic modulation of drugs on network activity. Both the number of days in vitro (DIV) and neutralization of nerve growth factor (NGF) have a significant effect on synchronous burst frequency and correlation. Acute effects are demonstrated using 5-HT (serotonin) and ethylene glycol tetra-acetic acid. Automated analysis allowed measuring additional features, such as peak decay times and bursting frequency of individual neurons. Based on neuronal cell cultures in 96-well plates and accurate calcium recordings, the analysis method allows development of an integrated high-content screening assay. Because molecular biological techniques can be applied to assess the influence of genes on network activity, it is applicable for neurotoxicity or neurotrophics screening as well as development of in vitro disease models via, for example, pharmacologic manipulation or RNAi.

Identification and Dynamics of Spontaneous Burst Initiation Zones in Unidimensional Neuronal Cultures

2007 ◽  
Vol 97 (4) ◽  
pp. 2937-2948 ◽  
Author(s):  
Ofer Feinerman ◽  
Menahem Segal ◽  
Elisha Moses
Keyword(s):  
Spontaneous Activity ◽  
Large Population ◽  
Recurrent Network ◽  
Network Activity ◽  
Neuronal Cultures ◽  
Bursting Neurons ◽  
Network Connections ◽  
Large Populations

Spontaneous activity is typical of in vitro neural networks, often in the form of large population bursts. The origins of this activity are attributed to intrinsically bursting neurons and to noisy backgrounds as well as to recurrent network connections. Spontaneous activity is often observed to emanate from localized sources or initiation zones, propagating from there to excite large populations of neurons. In this study, we use unidimensional cultures to overcome experimental difficulties in identifying initiation zones in vivo and in dissociated two-dimensional cultures. We found that spontaneous activity in these cultures is initiated exclusively in localized zones that are characterized by high neuronal density but also by recurrent and inhibitory network connections. We demonstrate that initiation zones compete in driving network activity in a winner-takes-most scenario.

scholarly journals meaRtools: an R Package for the Analysis of Neuronal Networks Recorded on Microelectrode Arrays

2018 ◽  
Author(s):  
Sahar Gelfman ◽  
Quanli Wang ◽  
Yi-Fan Lu ◽  
Diana Hall ◽  
Christopher D. Bostick ◽  
...  
Keyword(s):  
Spike Train ◽  
Neuronal Networks ◽  
Microelectrode Arrays ◽  
R Package ◽  
Network Activity ◽  
Neuronal Cultures ◽  
Mixed Cell ◽  
Spike Train Analysis ◽  
Neuronal Network Activity

AbstractHere we present an open-source R package ‘meaRtools’ that provides a platform for analyzing neuronal networks recorded on Microelectrode Arrays (MEAs). Cultured neuronal networks monitored with MEAs are now being widely used to characterize in vitro models of neurological disorders and to evaluate pharmaceutical compounds. meaRtools provides core algorithms for MEA spike train analysis, feature extraction, statistical analysis and plotting of multiple MEA recordings with multiple genotypes and treatments. meaRtools functionality covers novel solutions for spike train analysis, including algorithms to assess electrode cross-correlation using the spike train tiling coefficient (STTC), mutual information, synchronized bursts and entropy within cultured wells. Also integrated is a solution to account for bursts variability originating from mixed-cell neuronal cultures. The package provides a statistical platform built specifically for MEA data that can combine multiple MEA recordings and compare extracted features between different genetic models or treatments. We demonstrate the utilization of meaRtools to successfully identify epilepsy-like phenotypes in neuronal networks from Celf4 knockout mice. The package is freely available under the GPL license (GPL>=3) and is updated frequently on the CRAN web-server repository. The package, along with full documentation can be downloaded from: https://cran.r-project.org/web/packages/meaRtools/.Author summaryCultured neuronal networks are widely used to study and characterize neuronal network activity. Among the many uses of neuronal cultures are the capabilities to evaluate neurotoxicity and the effects of pharmacological compounds on cellular physiology. Multi-well microelectrode arrays (MEAs) can collect high-throughput data from multiple neuronal cultures simultaneously, and thereby make possible hypotheses-driven inquiries into neurobiology and neuropharmacology. The analysis of MEA-derived information presents many computational challenges. High frequency data recorded simultaneously from hundreds of electrodes can be difficult to handle. The need to compare network activity across various drug treatments or genotypes recorded on the same plate from experiments lasting several weeks presents another challenge. These challenges inspired us to develop meaRtools; an MEA data analysis package that contains new methods to characterize network activity patterns, which are illustrated here using examples from a genetic mouse model of epilepsy. Among the highlights of meaRtools are novel algorithms designed to characterize neuronal activity dynamics and network properties such as bursting and synchronization, options to combine multiple recordings and use a robust statistical framework to draw appropriate statistical inferences, and finally data visualizations and plots. In summary, meaRtools provides a platform for the analyses of singular and longitudinal MEA experiments.

scholarly journals Simulation of Spontaneous Activity in Neuronal Cultures with Long-Term Plasticity

2015 ◽  
Vol 10 (1) ◽  
pp. 234-244 ◽  
Author(s):  
А.А. Дегтерев ◽  
A.A. Degterev
Keyword(s):  
Spontaneous Activity ◽  
Network Models ◽  
Network Activity ◽  
Neuronal Cultures ◽  
Pacemaker Neurons ◽  
Short Term Plasticity ◽  
Synaptic Noise ◽  
Stdp Rule

Existence of spontaneous population bursts is a widely studied phenomenon observed in neuronal cultures in vitro. Recent models of neuronal cultures network activity consist of a number of burst generating mechanisms such as synaptic noise and presence of pacemaker neurons in the network. In the previous simulations of bursting in neuronal cultures synaptic weights change in accordance with the rule of short-term plasticity whereas the long-term values of them, and hence the network structure, remain unchanged. In this paper we reproduce neuronal network models with static synapses, and then investigate spontaneous activity changes in neuronal networks with long-term plasticity defined by STDP rule. Our results demonstrate that introduction of long-term plasticity in the model leads to discrepancy with the experimental data.

Validation of long-term primary neuronal cultures and network activity through the integration of reversibly bonded microbioreactors and MEA substrates

2011 ◽  
Vol 109 (1) ◽  
pp. 166-175 ◽  
Author(s):  
Emilia Biffi ◽  
Andrea Menegon ◽  
Francesco Piraino ◽  
Alessandra Pedrocchi ◽  
Gianfranco B. Fiore ◽  
...  
Keyword(s):  
Network Activity ◽  
Neuronal Cultures ◽  
Primary Neuronal Cultures

scholarly journals Mathematical model for the thermal enhancement of radiation response: thermodynamic approach

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Adriana M. De Mendoza ◽  
Soňa Michlíková ◽  
Johann Berger ◽  
Jens Karschau ◽  
Leoni A. Kunz-Schughart ◽  
...  
Keyword(s):  
Protein Denaturation ◽  
Collateral Damage ◽  
Hyperthermia Treatment ◽  
Reversible Process ◽  
Technological Advances ◽  
Thermal Enhancement ◽  
Main Driver ◽  
Definition Of

AbstractRadiotherapy can effectively kill malignant cells, but the doses required to cure cancer patients may inflict severe collateral damage to adjacent healthy tissues. Recent technological advances in the clinical application has revitalized hyperthermia treatment (HT) as an option to improve radiotherapy (RT) outcomes. Understanding the synergistic effect of simultaneous thermoradiotherapy via mathematical modelling is essential for treatment planning. We here propose a theoretical model in which the thermal enhancement ratio (TER) relates to the cell fraction being radiosensitised by the infliction of sublethal damage through HT. Further damage finally kills the cell or abrogates its proliferative capacity in a non-reversible process. We suggest the TER to be proportional to the energy invested in the sensitisation, which is modelled as a simple rate process. Assuming protein denaturation as the main driver of HT-induced sublethal damage and considering the temperature dependence of the heat capacity of cellular proteins, the sensitisation rates were found to depend exponentially on temperature; in agreement with previous empirical observations. Our findings point towards an improved definition of thermal dose in concordance with the thermodynamics of protein denaturation. Our predictions well reproduce experimental in vitro and in vivo data, explaining the thermal modulation of cellular radioresponse for simultaneous thermoradiotherapy.

Dementia with Lewy bodies—associated ß-synuclein mutations V70M and P123H cause mutation-specific neuropathological lesions

2021 ◽  
Author(s):  
Maryna Psol ◽  
Sofia Guerin Darvas ◽  
Kristian Leite ◽  
Sameehan U Mahajani ◽  
Mathias Bähr ◽  
...  
Keyword(s):  
Neuronal Network ◽  
Dementia With Lewy Bodies ◽  
Lewy Bodies ◽  
Sporadic Case ◽  
Network Activity ◽  
Proteinase K ◽  
Neuronal Network Activity ◽  
Distinct Disease

Abstract ß-Synuclein (ß-Syn) has long been considered to be an attenuator for the neuropathological effects caused by the Parkinson’s disease-related α-Synuclein (α-Syn) protein. However, recent studies demonstrated that overabundant ß-Syn can form aggregates and induce neurodegeneration in CNS neurons in vitro and in vivo, albeit at a slower pace as compared to α-Syn. Here we demonstrate that ß-Syn mutants V70M, detected in a sporadic case of Dementia with Lewy Bodies (DLB), and P123H, detected in a familial case of DLB, robustly aggravate the neurotoxic potential of ß-Syn. Intriguingly, the two mutations trigger mutually exclusive pathways. ß-Syn V70M enhances morphological mitochondrial deterioration and degeneration of dopaminergic and non-dopaminergic neurons, but has no influence on neuronal network activity. Conversely, ß-Syn P123H silences neuronal network activity, but does not aggravate neurodegeneration. ß-Syn WT, V70M and P123H formed proteinase K (PK) resistant intracellular fibrils within neurons, albeit with less stable C-termini as compared to α-Syn. Under cell free conditions, ß-Syn V70M demonstrated a much slower pace of fibril formation as compared to WT ß-Syn, and P123H fibrils present with a unique phenotype characterized by large numbers of short, truncated fibrils. Thus, it is possible that V70M and P123H cause structural alterations in ß-Syn, that are linked to their distinct neuropathological profiles. The extent of the lesions caused by these neuropathological profiles is almost identical to that of overabundant α-Syn, and thus likely to be directly involved into etiology of DLB. Over all, this study provides insights into distinct disease mechanisms caused by mutations of ß-Syn.

scholarly journals Bioengineered in vitro skeletal muscles as new tools for muscular dystrophies preclinical studies

2021 ◽  
Vol 12 ◽  
pp. 204173142098133
Author(s):  
Juan M. Fernández-Costa ◽  
Xiomara Fernández-Garibay ◽  
Ferran Velasco-Mallorquí ◽  
Javier Ramón-Azcón
Keyword(s):  
Skeletal Muscle ◽  
Tissue Engineering ◽  
Electrical Stimulation ◽  
Skeletal Muscles ◽  
Screening Tools ◽  
Muscular Dystrophies ◽  
Preclinical Studies ◽  
Technological Advances ◽  
Topographical Cues

Muscular dystrophies are a group of highly disabling disorders that share degenerative muscle weakness and wasting as common symptoms. To date, there is not an effective cure for these diseases. In the last years, bioengineered tissues have emerged as powerful tools for preclinical studies. In this review, we summarize the recent technological advances in skeletal muscle tissue engineering. We identify several ground-breaking techniques to fabricate in vitro bioartificial muscles. Accumulating evidence shows that scaffold-based tissue engineering provides topographical cues that enhance the viability and maturation of skeletal muscle. Functional bioartificial muscles have been developed using human myoblasts. These tissues accurately responded to electrical and biological stimulation. Moreover, advanced drug screening tools can be fabricated integrating these tissues in electrical stimulation platforms. However, more work introducing patient-derived cells and integrating these tissues in microdevices is needed to promote the clinical translation of bioengineered skeletal muscle as preclinical tools for muscular dystrophies.

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