Improving recorded volume in mesial temporal lobe by optimizing stereotactic intracranial electrode implantation planning

  • R. ZelmannEmail author
  • S. Beriault
  • M. M. Marinho
  • K. Mok
  • J. A. Hall
  • N. Guizard
  • C. Haegelen
  • A. Olivier
  • G. B. Pike
  • D. L. Collins
Original Article



Intracranial electrodes are sometimes implanted in patients with refractory epilepsy to identify epileptic foci and propagation. Maximal recording of EEG activity from regions suspected of seizure generation is paramount. However, the location of individual contacts cannot be considered with current manual planning approaches. We propose and validate a procedure for optimizing intracranial electrode implantation planning that maximizes the recording volume, while constraining trajectories to safe paths.


Retrospective data from 20 patients with epilepsy that had electrodes implanted in the mesial temporal lobes were studied. Clinical imaging data (CT/A and T1w MRI) were automatically segmented to obtain targets and structures to avoid. These data were used as input to the optimization procedure. Each electrode was modeled to assess risk, while individual contacts were modeled to estimate their recording capability. Ordered lists of trajectories per target were obtained. Global optimization generated the best set of electrodes. The procedure was integrated into a neuronavigation system.


Trajectories planned automatically covered statistically significant larger target volumes than manual plans \(({p}<0.001)\). Median volume coverage was \(419\,\hbox { mm}^{3}\) for automatic plans versus \(23\,\hbox { mm}^{3}\) for manual plans. Furthermore, automatic plans remained at statistically significant safer distance to vessels \(({p}<0.05)\) and sulci \(({p}<0.001)\). Surgeon’s scores of the optimized electrode sets indicated that 95 % of the automatic trajectories would be likely considered for use in a clinical setting.


This study suggests that automatic electrode planning for epilepsy provides safe trajectories and increases the amount of information obtained from the intracranial investigation.


Stereoelectroencephalography (SEEG) Depth electrode implantation Trajectory optimization Intracranial EEG recording Automatic target segmentation 



This study was supported in part by the Canadian Institute of Health Research (CIHR MOP-74725) and the Natural Sciences and Engineering Research Council of Canada (NSERC 238739-06). RZ was supported by a Canadian Imperial Bank of Commerce-Montreal Neurological Institute (CIBC-MNI) Postdoctoral Fellowship and a Savoy Foundation Postdoctoral Fellowship. The authors would like to thank Anna Kochanowska and Simon Drouin for the implementation of IBIS GUI.

Supplementary material

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Copyright information

© CARS 2015

Authors and Affiliations

  • R. Zelmann
    • 1
    Email author
  • S. Beriault
    • 1
  • M. M. Marinho
    • 2
  • K. Mok
    • 2
  • J. A. Hall
    • 2
  • N. Guizard
    • 1
  • C. Haegelen
    • 3
  • A. Olivier
    • 2
  • G. B. Pike
    • 1
  • D. L. Collins
    • 1
  1. 1.McConnell Brain Imaging Center, Montreal Neurological Hospital and InstituteMcGill UniversityMontrealCanada
  2. 2.Neurology and Neurosurgery, Montreal Neurological Hospital and InstituteMcGill UniversityMontrealCanada
  3. 3.LTSI - U1099 INSERM, CS34317RennesFrance

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