A data repository and analysis framework for spontaneous neural activity recordings in developing retina

BackgroundDuring early development, neural circuits fire spontaneously, generating activity episodes with complex spatiotemporal patterns. Recordings of spontaneous activity have been made in many parts of the nervous system over the last 25 years, reporting developmental changes in activity patterns and the effects of various genetic perturbations.ResultsWe present a curated repository of multielectrode array recordings of spontaneous activity in developing mouse and ferret retina. The data have been annotated with minimal metadata and converted into HDF5. This paper describes the structure of the data, along with examples of reproducible research using these data files. We also demonstrate how these data can be analysed in the CARMEN workflow system. This article is written as a literate programming document; all programs and data described here are freely available.Conclusions1. We hope this repository will lead to novel analysis of spontaneous activity recorded in different laboratories. 2. We encourage published data to be added to the repository. 3. This repository serves as an example of how multielectrode array recordings can be stored for long-term reuse.

[1]  Sergio Martinoia,et al.  Investigating neuronal activity by SPYCODE multi-channel data analyzer , 2010, Neural Networks.

[2]  M. Chiappalone,et al.  Development of Micro-Electrode Array Based Tests for Neurotoxicity: Assessment of Interlaboratory Reproducibility with Neuroactive Chemicals , 2011, Front. Neuroeng..

[3]  Sébastien Joucla,et al.  Making neurophysiological data analysis reproducible: Why and how? , 2012, Journal of Physiology-Paris.

[4]  Yihui Xie,et al.  Dynamic Documents with R and knitr , 2015 .

[5]  María P. Bonomini,et al.  DATA-MEAns: An open source tool for the classification and management of neural ensemble recordings , 2005, Journal of Neuroscience Methods.

[6]  R. Quian Quiroga,et al.  Unsupervised Spike Detection and Sorting with Wavelets and Superparamagnetic Clustering , 2004, Neural Computation.

[7]  M. Feller Retinal waves are likely to instruct the formation of eye-specific retinogeniculate projections , 2009, Neural Development.

[8]  J. Sanes,et al.  Disruption and Recovery of Patterned Retinal Activity in the Absence of Acetylcholine , 2005, The Journal of Neuroscience.

[9]  Rachel O.L. Wong,et al.  Failure to Maintain Eye-Specific Segregation in nob, a Mutant with Abnormally Patterned Retinal Activity , 2006, Neuron.

[10]  D. O'Leary,et al.  Retinotopic Map Refinement Requires Spontaneous Retinal Waves during a Brief Critical Period of Development , 2003, Neuron.

[11]  L. Chalupa,et al.  Retinal waves are unlikely to instruct the formation of eye-specific retinogeniculate projections , 2009, Neural Development.

[12]  Thomas Jackson,et al.  Considerations for developing a standard for storing electrophysiology data in HDF5 , 2013 .

[13]  L. Chalupa,et al.  Epibatidine application in vitro blocks retinal waves without silencing all retinal ganglion cell action potentials in developing retina of the mouse and ferret. , 2008, Journal of neurophysiology.

[14]  Luca Berdondini,et al.  Following the ontogeny of retinal waves: pan-retinal recordings of population dynamics in the neonatal mouse , 2013, The Journal of physiology.

[15]  Marla B Feller,et al.  Expression and function of the neuronal gap junction protein connexin 36 in developing mammalian retina , 2005, The Journal of comparative neurology.

[16]  Alexander Sher,et al.  Spatial-Temporal Patterns of Retinal Waves Underlying Activity-Dependent Refinement of Retinofugal Projections , 2009, Neuron.

[17]  N. Grzywacz,et al.  Influence of spontaneous activity and visual experience on developing retinal receptive fields , 1996, Current Biology.

[18]  M. Feller,et al.  The Role of Neuronal Connexins 36 and 45 in Shaping Spontaneous Firing Patterns in the Developing Retina , 2011, The Journal of Neuroscience.

[19]  F. Werblin,et al.  Requirement for Cholinergic Synaptic Transmission in the Propagation of Spontaneous Retinal Waves , 1996, Science.

[20]  R. Wong,et al.  Developmental Loss of Synchronous Spontaneous Activity in the Mouse Retina Is Independent of Visual Experience , 2003, The Journal of Neuroscience.

[21]  Steve M. Potter,et al.  An extremely rich repertoire of bursting patterns during the development of cortical cultures , 2006, BMC Neuroscience.

[22]  C. Shatz,et al.  Transient period of correlated bursting activity during development of the mammalian retina , 1993, Neuron.

[23]  M. Crair,et al.  An Instructive Role for Patterned Spontaneous Retinal Activity in Mouse Visual Map Development , 2011, Neuron.

[24]  A. Beaudet,et al.  Mice Lacking Specific Nicotinic Acetylcholine Receptor Subunits Exhibit Dramatically Altered Spontaneous Activity Patterns and Reveal a Limited Role for Retinal Waves in Forming ON and OFF Circuits in the Inner Retina , 2000, The Journal of Neuroscience.

[25]  Jim Austin,et al.  CARMEN: a practical approach to metadata management , 2010, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[26]  L. Chalupa,et al.  Retinal waves in mice lacking the β2 subunit of the nicotinic acetylcholine receptor , 2008, Proceedings of the National Academy of Sciences.

[27]  Marla B. Feller,et al.  L-type calcium channel agonist induces correlated depolarizations in mice lacking the β2 subunit nAChRs , 2004, Vision Research.

[28]  Marla B Feller,et al.  High frequency, synchronized bursting drives eye-specific segregation of retinogeniculate projections , 2005, Nature Neuroscience.

[29]  Jim Austin,et al.  The CARMEN software as a service infrastructure , 2013, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[30]  M. Feller,et al.  Mechanisms underlying spontaneous patterned activity in developing neural circuits , 2010, Nature Reviews Neuroscience.

[31]  James A. Bednar,et al.  An automated and reproducible workflow for running and analyzing neural simulations using Lancet and IPython Notebook , 2013, Front. Neuroinform..

[32]  D. Baylor,et al.  Synchronous bursts of action potentials in ganglion cells of the developing mammalian retina. , 1991, Science.

[33]  A. Nekrutenko,et al.  Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences , 2010, Genome Biology.

[34]  Matthias H Hennig,et al.  Age-dependent Homeostatic Plasticity of GABAergic Signaling in Developing Retinal Networks , 2011, The Journal of Neuroscience.

[35]  R. Wong,et al.  Retinal waves and visual system development. , 1999, Annual review of neuroscience.

[36]  M. Feller,et al.  Intrinsically photosensitive ganglion cells contribute to plasticity in retinal wave circuits , 2013, Proceedings of the National Academy of Sciences.

[37]  Jean YH Yang,et al.  Bioconductor: open software development for computational biology and bioinformatics , 2004, Genome Biology.

[38]  A.M. Litke,et al.  What does the eye tell the brain?: Development of a system for the large scale recording of retinal output activity , 2003, 2003 IEEE Nuclear Science Symposium. Conference Record (IEEE Cat. No.03CH37515).

[39]  Marcelo P. Coba,et al.  Knockdown of mental disorder susceptibility genes disrupts neuronal network physiology in vitro , 2011, Molecular and Cellular Neuroscience.