Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Optimal interelectrode distance with the method of source density analysis.

T Yanev1, P Christova, A Gydikov

  • 1Central Laboratory of Biophysics, Bulgarian Academy of Sciences, Sofia.

Acta Physiologica Et Pharmacologica Bulgarica
|January 1, 1990
PubMed
Summary

This study identifies three main error sources affecting the second space derivative (SSD) calculation in current source density (CSD) analysis. Minimizing interelectrode distance is crucial for reducing errors in neurophysiological measurements.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

True associations between resting fMRI time series based on innovations.

Journal of neural engineering·2011
Same author

[Is the Gail model for breast cancer risk assessment valid for the Bulgarian women?].

Khirurgiia·2010
Same author

Detection of elastin derived peptides in cerebrospinal fluid of patients with first ever ischaemic stroke.

Neuropeptides·2008
Same author

Increased levels of elastin-derived peptides in cerebrospinal fluid of patients with lacunar stroke.

Clinical neurology and neurosurgery·2007
Same author

Detection of free elastin-derived peptides among diabetic children.

Atherosclerosis·2006
Same author

Detection of serum collagen type IV in children with type 1 (insulin-dependent) diabetes mellitus--a longitudinal study.

Pediatric diabetes·2004

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Biophysics

Background:

  • Current Source Density (CSD) analysis is a widely used technique in neurophysiology to estimate the distribution of transmembrane currents.
  • The accuracy of CSD analysis relies heavily on the precise calculation of the second spatial derivative (SSD) of extracellular potentials.
  • Understanding and quantifying error sources in SSD calculation is essential for reliable interpretation of CSD results.

Purpose of the Study:

  • To identify and quantify the contributions of three primary error sources to the total error in SSD calculations.
  • To evaluate the impact of an approximate formula, finite interelectrode distance, and measurement device error on SSD accuracy.
  • To determine an optimal interelectrode distance that minimizes relative SSD error for experimental data.

Related Experiment Videos

Main Methods:

  • Investigated three error sources: approximation formula in CSD, finite interelectrode distance, and potential measurement error.
  • Calculated relative SSD error to assess the impact of each error source.
  • Applied polynomial fitting, Fourier expansion, and cubic splines to experimental data (3D potential profile in anuran cerebellum).
  • Fitted experimental data to determine the preferable interelectrode distance for minimal relative error.

Main Results:

  • The study identified the approximate formula, finite interelectrode distance, and measurement device error as significant contributors to SSD error.
  • Relative SSD error was calculated to quantify the impact of these sources.
  • Fitting experimental data revealed a specific interelectrode distance that corresponds to the minimum relative SSD error.

Conclusions:

  • The findings highlight the importance of considering multiple error sources in CSD analysis.
  • Optimizing interelectrode distance is a critical factor in improving the accuracy of SSD calculations.
  • This research provides a framework for minimizing errors and enhancing the reliability of CSD-based neurophysiological studies.