Event Abstract

Handling complex metadata in neurophysiological experiments

  • 1 Jülich Research Centre and JARA, Institute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6), Germany
  • 2 Ludwig-Maximilians-Universität München, Biologie II, Germany
  • 3 CNRS, Aix-Marseille Université, Institut de Neuroscience de la Timone (INT), France
  • 4 RWTH Aachen Universität, Theoretical Systems Neurobiology, Germany

Technological progress in neuroscience allows to record from tens to hundreds of neurons simultaneously, both in vitro and in vivo, using various recording techniques and stimulation methods. In addition, recordings can be performed under more or less natural conditions in (almost) freely behaving animals. To disentangle the relationship between behavior and neuronal activity, it is necessary to document animal training, experimental procedures, and details of the setup along with the recorded neuronal and behavioral data. In consequence, electrophysiological experiments become increasingly complex. Given these various sources of complexity, the availability of all experimental metadata is of extreme relevance for reproducible data analysis and correct interpretation of results.

In order to provide metadata in an organized, human- and machine-readable way, an XML based file format, odML (open metadata Markup Language), was proposed [1]. We here demonstrate the usefulness of odML for data handling and analysis in the context of a complex behavioral experiment with neuronal recordings from a large number of electrodes delivering massively parallel spike and LFP data [2]. We illustrate the conceptual design of an odML metadata structure and offer templates to facilitate the usage of odML in different laboratories and experimental contexts. In addition, we demonstrate hands-on the advantages of using odML to screen large numbers of data sets according to selection criteria relevant for subsequent analyses. Well organized metadata management is a key component to guarantee reproducibility of experiments and to track provenance of performed analyses.

Acknowledgements

SMHB, HBP (EU grant 604102), G-Node (BMBF Grant 01GQ1302), BrainScaleS (EU Grant 269912), ANR-GRASP, Neuro_IC2010, CNRS-PEPS, RIKEN-CNRS Research Agreement.

References

[1] Grewe J, Wachtler T and Benda J (2011) A bottom-up approach to data annotation in neurophysiology. Front. Neuroinform. 5:16. doi: 10.3389/fninf.2011.00016
[2] Riehle A, Wirtssohn S, Grün S and Brochier T (2013) Mapping the spatio-temporal structure of motor cortical LFP and spiking activities during reach-to-grasp movements. Front. Neural Circuits 7:48. doi: 10.3389/fncir.2013.00048

Keywords: odml, metadata, reproducibility, multi-electrode-array, complex behaviour

Conference: Neuroinformatics 2014, Leiden, Netherlands, 25 Aug - 27 Aug, 2014.

Presentation Type: Poster, not to be considered for oral presentation

Topic: General neuroinformatics

Citation: Zehl L, Denker M, Stoewer A, Jaillet F, Brochier T, Riehle A, Wachtler T and Grün S (2014). Handling complex metadata in neurophysiological experiments. Front. Neuroinform. Conference Abstract: Neuroinformatics 2014. doi: 10.3389/conf.fninf.2014.18.00029

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Received: 04 Apr 2014; Published Online: 04 Jun 2014.

* Correspondence: Ms. Lyuba Zehl, Jülich Research Centre and JARA, Institute of Neuroscience and Medicine (INM-6) and Institute for Advanced Simulation (IAS-6), Jülich, Germany, l.zehl@fz-juelich.de

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