Literature DB >> 16325005

Co-registration of stereotactic MRI and isofieldlines during deep brain stimulation.

Simone Hemm1, Gérard Mennessier, Nathalie Vayssière, Laura Cif, Philippe Coubes.   

Abstract

OBJECT: The parameter adjustment process during deep brain stimulation (DBS) for dystonia remains time consuming and based on clinical observation alone. The aim was to correlate the electric field with the GPi anatomy to be able to study the stimulated volume.
METHODS: We developed a computer-assisted method (model) for visualizing electric field in reference to the stereotactic space. Electric field values were correlated with the GPi anatomy (stereotactic Magnetic Resonance Imaging) in one reference patient.
RESULTS: Using this methodology it becomes possible to correlate the electric field distributions for patient specific parameters with the anatomical information. The application to one patient showed that the 0.1V/mm isofieldline fits best with the lateral GPi borders at the level of the stimulated contacts.
CONCLUSIONS: The electric field is a crucial parameter as it is assumed to be responsible for triggering action potentials. Electric field visualisation allows the calculation of the stimulated volume for a given isoline. Its application to our whole patient population might help in determining a threshold for obtaining a therapeutic effect, to date unknown, and consequently in optimizing the parameter setting in each patient.

Entities:  

Mesh:

Year:  2005        PMID: 16325005     DOI: 10.1016/j.brainresbull.2005.08.024

Source DB:  PubMed          Journal:  Brain Res Bull        ISSN: 0361-9230            Impact factor:   4.077


  8 in total

1.  Connectivity Predicts deep brain stimulation outcome in Parkinson disease.

Authors:  Andreas Horn; Martin Reich; Johannes Vorwerk; Ningfei Li; Gregor Wenzel; Qianqian Fang; Tanja Schmitz-Hübsch; Robert Nickl; Andreas Kupsch; Jens Volkmann; Andrea A Kühn; Michael D Fox
Journal:  Ann Neurol       Date:  2017-07       Impact factor: 10.422

2.  Lead-DBS v2: Towards a comprehensive pipeline for deep brain stimulation imaging.

Authors:  Andreas Horn; Ningfei Li; Till A Dembek; Ari Kappel; Chadwick Boulay; Siobhan Ewert; Anna Tietze; Andreas Husch; Thushara Perera; Wolf-Julian Neumann; Marco Reisert; Hang Si; Robert Oostenveld; Christopher Rorden; Fang-Cheng Yeh; Qianqian Fang; Todd M Herrington; Johannes Vorwerk; Andrea A Kühn
Journal:  Neuroimage       Date:  2018-09-01       Impact factor: 6.556

3.  The clinical utility of methods to determine spatial extent and volume of tissue activated by deep brain stimulation.

Authors:  Robert E Gross; John D Rolston
Journal:  Clin Neurophysiol       Date:  2008-07-15       Impact factor: 3.708

4.  Quantifying the effects of the electrode-brain interface on the crossing electric currents in deep brain recording and stimulation.

Authors:  N Yousif; R Bayford; S Wang; X Liu
Journal:  Neuroscience       Date:  2008-01-25       Impact factor: 3.590

Review 5.  Modeling the current distribution across the depth electrode-brain interface in deep brain stimulation.

Authors:  Nada Yousif; Xuguang Liu
Journal:  Expert Rev Med Devices       Date:  2007-09       Impact factor: 3.166

6.  Neurocapillary-Modulation.

Authors:  Niranjan Khadka; Marom Bikson
Journal:  Neuromodulation       Date:  2020-12-19

7.  Patient-Specific Electric Field Simulations and Acceleration Measurements for Objective Analysis of Intraoperative Stimulation Tests in the Thalamus.

Authors:  Simone Hemm; Daniela Pison; Fabiola Alonso; Ashesh Shah; Jérôme Coste; Jean-Jacques Lemaire; Karin Wårdell
Journal:  Front Hum Neurosci       Date:  2016-11-25       Impact factor: 3.169

8.  The peri-electrode space is a significant element of the electrode-brain interface in deep brain stimulation: a computational study.

Authors:  Nada Yousif; Richard Bayford; Peter G Bain; Xuguang Liu
Journal:  Brain Res Bull       Date:  2007-07-26       Impact factor: 4.077

  8 in total

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