Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Correction: Statistical segmentation model for accurate electrode positioning in Parkinson’s deep brain stimulation based on clinical low-resolution image data and electrophysiology

  • Igor Varga,
  • Eduard Bakstein,
  • Greydon Gilmore,
  • Jaromir May,
  • Daniel Novak
  • Article
  • Metrics
  • Comments
  • Media Coverage

In the funding statement, ‘Brain Dynamics, grant number, CZ.02.01.01/00/22_008/0004643’ is listed incorrectly.

The correct funding statement is as follows: The study received funding from the Ministerstvo Zdravotnictví Ceské Republiky (Ministry of Health of the Czech Republic), grant number NV19-04-00233 (project CLIMABI); the Research Center for Informatics, Czech Technical University in Prague, grant number CZ.02.1.01/0.0/16_019/0000765; and České Vysoké Učení Technické v Praze (Czech Technical University in Prague), grant number SGS22/165/OHK3/3T/13. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the article.

Reference

  1. 1. Varga I, Bakstein E, Gilmore G, May J, Novak D (2024) Statistical segmentation model for accurate electrode positioning in Parkinson’s deep brain stimulation based on clinical low-resolution image data and electrophysiology. PLoS ONE 19(3): e0298320. https://doi.org/10.1371/journal.pone.0298320. pmid:38483943