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Multiphysics neuron model for cellular volume dynamics.

Jonghwan Lee1, David A Boas, Sung June Kim

  • 1Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Charlestown, MA 02129, USA. jonghwan@nmr.mgh.harvard.edu

IEEE Transactions on Bio-Medical Engineering
|June 11, 2011
PubMed
Summary
This summary is machine-generated.

This study presents a novel multiphysics neuron model to quantitatively describe millisecond-scale neuronal volume dynamics. The model elucidates optical signals and analyzes cellular volume changes under various physiological conditions.

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Area of Science:

  • Neuroscience
  • Biophysics
  • Computational Biology

Background:

  • Cellular volume dynamics are linked to apoptosis and optical signals.
  • Quantitative models for millisecond-scale neuronal volume dynamics are lacking.

Purpose of the Study:

  • To introduce a multiphysics neuron model for quantitative analysis of neuronal volume dynamics.
  • To elucidate neuronal volume responses during excitation and their relation to optical signals.
  • To investigate the effects of physiological conditions and repetitive stimulation on cell volume.

Main Methods:

  • Developed a multiphysics neuron model with time-varying cell volume.
  • Combined multiple physical principles to build governing equations.
  • Analyzed neuronal volume responses during excitation and on longer timescales with repetitive stimulation.

Main Results:

  • The model quantitatively describes neuronal volume dynamics on the millisecond timescale.
  • Analyzed neuronal volume responses during excitation, explaining experimental optical signal variations.
  • Investigated the impact of physiological conditions and slow cell swelling characteristics.

Conclusions:

  • The multiphysics model provides a novel quantitative elucidation of cellular volume dynamics.
  • Offers insights into physiologically important issues and potential for inferring ion flux balance.