Design and evaluation of a chronic EMG multichannel detection system for long-term recordings of hindlimb muscles in behaving mice

Vicki M. Tysseling*, Lindsay Janes, Rebecca Imhoff, Katharina A. Quinlan, Brad Lookabaugh, Shyma Ramalingam, C. J. Heckman, Matthew C. Tresch

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

Mouse models are commonly used for identifying the behavioral consequences of genetic modifications, progression or recovery from disease or trauma models, and understanding spinal circuitry. Electromyographic recordings (EMGs) are recognized as providing information not possible from standard behavioral analyses involving gross behavioral or kinematic assessments. We describe here a method for recording from relatively large numbers of muscles in behaving mice. We demonstrate the use of this approach for recording from hindlimb muscles bilaterally in intact animals, following spinal cord injury, and during the progression of ALS. This design can be used in a variety of applications in order to characterize the coordination strategies of mice in health and disease.

Original languageEnglish (US)
Pages (from-to)531-539
Number of pages9
JournalJournal of Electromyography and Kinesiology
Volume23
Issue number3
DOIs
StatePublished - Jun 2013

Funding

We thank Dr. Teepu Siddique for providing the SOD1 mice and Ronggen Fu for breeding the SOD1 mice. Also, we thank Emily Kocevar who assisted with recordings of the SOD1 mice. Our grant support includes Craig H. Neilsen Postdoctoral Fellowship (V.M.T.), NIH R01 AR053608-01A2 (M.C.T.), NIH NINDS NS034382 (C.J.H.), and NIH F32 NS063535-02 (K.Q.).

Keywords

  • ALS
  • Behavioral analysis
  • Chronic
  • EMG
  • Electrodes
  • Locomotion
  • Mouse
  • Spinal cord injury

ASJC Scopus subject areas

  • Neuroscience (miscellaneous)
  • Biophysics
  • Clinical Neurology

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