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Quantitative investigation into methods for evaluating neocortical slice viability.

Logan J Voss1, Claudia van Kan, James W Sleigh

  • 1Anaesthesia Department, Waikato District Health Board, Hamilton 3240, New Zealand. logan.voss@waikatodhb.health.nz.

BMC Neuroscience
|November 8, 2013
PubMed
Summary

Brain slice viability can be reliably assessed by measuring seizure-like event (SLE) amplitude. High-frequency activity after electrode insertion also predicts SLE development in quiescent tissue, indicating slice health.

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Area of Science:

  • Neuroscience
  • Electrophysiology
  • Brain Slice Preparation

Background:

  • Assessing brain slice viability is crucial for reliable experimental results.
  • Current methods rely on seizure-like event (SLE) amplitude, but this has not been objectively validated.
  • A method to assess viability in quiescent slices (SLE activity suppressed) is lacking.

Purpose of the Study:

  • To objectively evaluate the suitability of SLE amplitude for assessing brain slice viability.
  • To develop a method for gauging the viability of quiescent brain slices.
  • To investigate the zero-magnesium SLE model in neocortical slices.

Main Methods:

  • Investigated changes in SLE pattern (amplitude, frequency, length) as slice health deteriorated.
  • Examined if high-frequency activity post-electrode insertion predicted SLE development in quiescent slices.
  • Utilized the zero-magnesium SLE model in neocortical slices.

Main Results:

  • SLE amplitude was the most critical indicator of slice viability; <50 μV suggested limited sustained activity.
  • Increased high-frequency activity post-electrode insertion predicted subsequent SLE development in 100% of quiescent slices.
  • The magnitude of increased spectral power correlated with succeeding SLE amplitude (R2=40.9%, p<0.0001).

Conclusions:

  • Population activity amplitude is a valid parameter for assessing brain slice viability.
  • This method is applicable regardless of the tissue activation mechanism.
  • High-frequency activity can predict viability in quiescent slices.