V4. Structural and functional alterations related to the LRRK2 G2019s mutation revealed in structured human neural networks - Part I

Published: 21 Jan 2020 | Version 4 | DOI: 10.17632/dnjv26msvk.4
Contributor(s):
  • Vibeke Devold Valderhaug,
    Unspecified
    Norwegian University of Science and Technology, Department of Neuromedicine and Movement Science
  • Rosanne van de Wijdeven ,
    Rosanne van de Wijdeven
    Norwegian University of Science and Technology
  • Ola Huse Ramstad,
    Ola Huse Ramstad
    Norwegian University of Science and Technology, Department of Neuromedicine and Movement Science
  • Kristine Heiney ,
    Kristine Heiney
    Oslo Metropolitan University, Department of Computer Science
  • Stefano Nichele,
    Stefano Nichele
    Oslo Metropolitan University, Department of Computer Science
  • Axel Sandvig,
    Agricultural and Biological Sciences
    Norwegian University of Science and Technology, Department of Neuromedicine and Movement Science
  • Ioanna Sandvig
    Agricultural and Biological Sciences
    Norwegian University of Science and Technology, Department of Neuromedicine and Movement Science

Description of this data

In vitro electrophysiology of human neural networks using customised microfluidic chips interfaced with 60-electrode microelectrode arrays. The recordings were obtained using the M2100 Multichannel Systems platform.

Experiment data files

Latest version

  • Version 4

    2020-01-21

    Published: 2020-01-21

    DOI: 10.17632/dnjv26msvk.4

    Cite this dataset

    Devold Valderhaug, Vibeke ; van de Wijdeven , Rosanne ; Huse Ramstad, Ola ; Heiney , Kristine ; Nichele, Stefano; Sandvig, Axel; Sandvig, Ioanna (2020), “V4. Structural and functional alterations related to the LRRK2 G2019s mutation revealed in structured human neural networks - Part I”, Mendeley Data, v4 http://dx.doi.org/10.17632/dnjv26msvk.4

Statistics

Views: 892
Downloads: 99

Previous versions

Compare to version

Categories

Electrophysiology, Biological Networks

Licence

CC BY 4.0 Learn more

The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.

What does this mean?
You can share, copy and modify this dataset so long as you give appropriate credit, provide a link to the CC BY license, and indicate if changes were made, but you may not do so in a way that suggests the rights holder has endorsed you or your use of the dataset. Note that further permission may be required for any content within the dataset that is identified as belonging to a third party.

Report