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Fusion of Microelectrode Neuronal Recordings and MRI Landmarks for Automatic Atlas Fitting in Deep Brain Stimulation Surgery

  • Eduard Bakštein
  • Tomáš Sieger
  • Filip Růžička
  • Daniel Novák
  • Robert Jech
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11041)

Abstract

The deep brain stimulation (DBS) is a symptomatic treatment technique used mainly for movement disorders, consisting of chronic electrical stimulation of subcortical structures. To achieve very precise electrode implantation, which is necessary for a good clinical outcome, many surgical teams use electrophysiological recording around the assumed target, planned in pre-operative MRI images. In our previous work, we developed a probabilistic model to fit a 3D anatomical atlas of the subthalamic nucleus to the recorded microelectrode activity in Parkinson’s disease (PD) patients. In this paper, we extend the model to incorporate characteristic landmarks of the target nucleus, manually annotated in pre-operative MRI data. We validate the approach on a set of 27 exploration five-electrode trajectories from 15 PD patients. The results show that such combined approach may lead to a vast improvement in optimization reliability, while maintaining good fit to the electrophysiology data. The combination of electrophysiology and MRI-based data thus provides a promising approach for compensating brain shift, occuring during the surgery and achieving accurate localization of recording sites in DBS surgery.

Keywords

Deep brain stimulation Anatomical atlas fitting Microelectrode recordings Magnetic resonance imaging Subthalamic nucleus 

Notes

Acknowledgement

The work presented in this paper was supported by the Czech Science Foundation (GACR), under grant no. 16-13323S and by the Ministry of Education Youth and Sports, under NPU I program Nr. LO1611. The work of Daniel Novak was supported by the Research Center for Informatics project no. CZ.02.1.01/0.0/0.0/16_019/0000765.

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Eduard Bakštein
    • 1
    • 2
  • Tomáš Sieger
    • 1
    • 3
  • Filip Růžička
    • 3
  • Daniel Novák
    • 1
  • Robert Jech
    • 3
  1. 1.Department of Cybernetics, Faculty of Electrical EngineeringCzech Technical University in PraguePragueCzech Republic
  2. 2.National Institute of Mental HealthKlecanyCzech Republic
  3. 3.Department of Neurology and Center of Clinical Neuroscience, First Faculty of MedicineCharles University and General University HospitalPragueCzech Republic

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