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Related Concept Videos

Brain Imaging01:14

Brain Imaging

208
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
208

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Enabling electric field model of microscopically realistic brain.

Zhen Qi1, Gregory M Noetscher1, Alton Miles1

  • 1Department of Electrical and Computer Eng., Worcester Polytechnic Inst., Worcester, MA, USA.

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Summary

Microscopic brain modeling reveals that small electric field variations minimally impact neuronal activation thresholds. This supports the conventional "invisible neuron" theory in macroscopic brain stimulation models.

Keywords:
Biophysical modelingBoundary element fast multipole method (BEM-FMM)Brain modeling at the microscopic scaleBrain stimulationElectric field spatial noiseMultiscale brain modelingSignificance statement

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Area of Science:

  • Neuroscience
  • Computational Biology
  • Biophysics

Background:

  • Understanding brain stimulation requires accurate modeling at multiple scales.
  • Microscopic modeling can offer new insights into stimulation modalities.

Purpose of the Study:

  • To create the largest map of extracellular electric fields in a mouse visual cortex sample.
  • To analyze microscopic electric field perturbations and their effect on neuronal activation.

Main Methods:

  • Automated analysis of serial section electron microscopy images.
  • Computation of microscopic field perturbations using the boundary element fast multipole method.
  • Application of uniform electric fields at different polarizations.

Main Results:

  • Microscopic field perturbations introduce minimal "spatial noise" to the electric field.
  • Neuronal activation thresholds are only modestly influenced, changing by less than 10% on average.
  • The findings support the conventional theory of "invisible" neurons in macroscopic models.

Conclusions:

  • The study validates the macroscopic brain model for transcranial stimulation under specific assumptions.
  • Results are sample-specific and acknowledge limitations, including neglecting microcapillaries and considering only uniform fields and single pulses.