Predictors of frame-based SEEG electrode implantation accuracy

This study analyzed predictive factors of electrode accuracy using a traditional frame-based technique to provide a comprehensive reference. Electrode target radial error is strongly predicted by increased implantation depth, bone thickness along the trajectory, and electrode angle at bone entry. Increased radial error is strongly associated with electrodes missing the intended sub-lobar target. Further research is required to investigate the full clinical implications of electrode inaccuracy.

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Publication Details

Journal
Journal of Clinical Neuroscience
Published
2025-06-27
DOI
https://doi.org/10.1016/j.jocn.2025.111430
Primary Topic
Analytical Chemistry and Sensors
Type
article
Field-Weighted Citation Impact
0.00

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article

Predictors of frame-based SEEG electrode implantation accuracy

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article

Predictors of frame-based SEEG electrode implantation accuracy

Cecilia Harb, Terence John O'Brien, Udaya Seneviratne, Simon J. Vogrin, Joshua Laing, Thanomporn Wittayacharoenpong, Matthew Gutman, Patrick Kwan, Kristian Bulluss, Jacob Bunyamin, Andrew Neal, Wendyl D’Souza, Amy J. Halliday, Paul Beech, Matthew R. Hudson, Zhibin Chen, Martin Hunn, Haris Hakeem
article en

Abstract

This study analyzed predictive factors of electrode accuracy using a traditional frame-based technique to provide a comprehensive reference. Electrode target radial error is strongly predicted by increased implantation depth, bone thickness along the trajectory, and electrode angle at bone entry. Increased radial error is strongly associated with electrodes missing the intended sub-lobar target. Further research is required to investigate the full clinical implications of electrode inaccuracy.

Journal of Clinical NeuroscienceVol. 139
St Vincent's Hospital Melbourne (AU), Monash Health (AU), Alfred Health (AU), Monash University (AU)
National Health and Medical Research Council
Affordable and clean energy
Openalex Percentile: Top 81%
Analytical Chemistry and Sensors
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