Literature DB >> 32125609

GeodesicSlicer: a Slicer Toolbox for Targeting Brain Stimulation.

F Briend1, E Leroux2, C Nathou2,3, N Delcroix4, S Dollfus2,3, O Etard2,5.   

Abstract

NonInvasive Brain Stimulation (NIBS) is a potential therapeutic tool with growing interest, but neuronavigation-guided software and tools available for the target determination are mostly either expensive or closed proprietary applications. To address these limitations, we propose GeodesicSlicer, a customizable, free, and open-source NIBS therapy research toolkit. GeodesicSlicer is implemented as an extension for the widely used 3D Slicer medical image visualization and analysis application platform. GeodesicSlicer uses cortical stimulation target from either functional or anatomical images to provide functionality specifically designed for NIBS therapy research. The provided algorithms are tested and they are accessible through a convenient graphical user interface. Modules have been created for NIBS target determination according to the position of the electrodes in the 10-20 system electroencephalogram and calculating correction factors to adjust the repetitive Transcranial Magnetic Stimulation (rTMS) dose for the treatment. Two illustrative examples are processing with the module. This new open-source software has been developed for NIBS therapy: GeodesicSlicer is an alternative for laboratories that do not have access to neuronavigation system. The triangulation-based MRI-guided method presented here provides a reproducible and inexpensive way to position the TMS coil that may be used without the use of a neuronavigation system.

Entities:  

Keywords:  3D slicer; Correction factor; EEG; NIBS; Target determination; rTMS

Mesh:

Year:  2020        PMID: 32125609     DOI: 10.1007/s12021-020-09457-9

Source DB:  PubMed          Journal:  Neuroinformatics        ISSN: 1539-2791


  2 in total

1.  A landmark-based approach to locate symptom-specific transcranial magnetic stimulation targets of depression.

Authors:  Rongrong Du; Qian Zhou; Tianzheng Hu; Jinmei Sun; Qiang Hua; Yingru Wang; Yuanyuan Zhang; Kongliang He; Yanghua Tian; Gong-Jun Ji; Kai Wang
Journal:  Front Psychol       Date:  2022-09-02

2.  Automated Head Tissue Modelling Based on Structural Magnetic Resonance Images for Electroencephalographic Source Reconstruction.

Authors:  Gaia Amaranta Taberna; Jessica Samogin; Dante Mantini
Journal:  Neuroinformatics       Date:  2021-01-27
  2 in total

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