Construction of an improved multi-tetrode hyperdrive for large-scale neural recording in behaving rats

Li Lu, Briana Popeney, J. David Dickman, Dora Angelaki

Research output: Contribution to journalArticle

Abstract

Monitoring the activity patterns of a large population of neurons over many days in awake animals is a valuable technique in the field of systems neuroscience. One key component of this technique consists of the precise placement of multiple electrodes into desired brain regions and the maintenance of their stability. Here, we describe a protocol for the construction of a 3D-printable hyperdrive, which includes eighteen independently adjustable tetrodes, and is specifically designed for in vivo extracellular neural recording in freely behaving rats. The tetrodes attached to the microdrives can either be individually advanced into multiple brain regions along the track, or can be used to place an array of electrodes into a smaller area. The multiple tetrodes allow for simultaneous examination of action potentials from dozens of individual neurons, as well as local field potentials from populations of neurons in the brain during active behavior. In addition, the design provides for simpler 3D drafting software that can easily be modified for differing experimental needs.

Original languageEnglish (US)
Article numbere57388
JournalJournal of Visualized Experiments
Volume2018
Issue number135
DOIs
StatePublished - May 9 2018

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Tetrodes
Neurons
Rats
Brain
Electrodes
Neurosciences
Population
Action Potentials
Animals
Software
Maintenance
Monitoring

Keywords

  • Behaving rats
  • Extracellular recording
  • Hyperdrive
  • In vivo electrophysiology
  • Issue 135
  • Multi-tetrode
  • Neural activity
  • Neuroscience

ASJC Scopus subject areas

  • Neuroscience(all)
  • Chemical Engineering(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)

Cite this

Construction of an improved multi-tetrode hyperdrive for large-scale neural recording in behaving rats. / Lu, Li; Popeney, Briana; Dickman, J. David; Angelaki, Dora.

In: Journal of Visualized Experiments, Vol. 2018, No. 135, e57388, 09.05.2018.

Research output: Contribution to journalArticle

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