Literature DB >> 26489736

Electrophysiological validation of STN-SNr boundary depicted by susceptibility-weighted MRI.

J McEvoy1, Ismail Ughratdar2,3, S Schwarz4, S Basu5,4.   

Abstract

BACKGROUND: Direct targeting of subthalamic nucleus (STN) without secondary electrophysiological verification during deep brain stimulation (DBS) is replacing atlas-based indirect targeting techniques. Recent groups have reported increased contrast and better delineation of STN and substantia nigra (SNr) in susceptibility-weighted imaging protocols (SWI). We aim to validate the STN-SNr boundary seen in MRI- SWI by correlating with intraoperative microelectrode recordings (MER) as a part of developing a multi-contrast DBS MRI planning protocol.
METHODS: Prospective service evaluation involving electrophysiological verification by correlation of MER trajectory and STN-SNr boundary seen in SWI in seven consecutive patients undergoing DBS surgery were analyzed. The angle of inclination of the STN-SNr boundary and DBS trajectory in the coronal plane were calculated. Considering 4-mm dispersion of a coronal 3 MER array, we predicted, measured, and correlated the depths at which each electrode engaged the boundary.
RESULTS: All central microelectrodes identified the STN-SNr boundary within 1 mm of the predicted depth with 100 % accuracy. Ninety percent of the lateral MER identified the STN-SNr boundary as predicted from SWI and angle of the encounter of the MER front.
CONCLUSIONS: The study demonstrates that STN morphology can be depicted using SWI MRI and coincides reliably with the electrophysiological MER boundary. Thus, this imaging modality can be used to refine STN direct targeting protocols in DBS surgery for PD.

Entities:  

Keywords:  Deep brain stimulation; Magnetic resonance imaging; Microelectrode recording; Parkinson’s disease; Stereotactic surgery; Substantia nigra; Subthalamic nucleus; Susceptibility-weighted imaging; Targeting

Mesh:

Year:  2015        PMID: 26489736     DOI: 10.1007/s00701-015-2615-1

Source DB:  PubMed          Journal:  Acta Neurochir (Wien)        ISSN: 0001-6268            Impact factor:   2.216


  3 in total

1.  Stop! border ahead: Automatic detection of subthalamic exit during deep brain stimulation surgery.

Authors:  Dan Valsky; Odeya Marmor-Levin; Marc Deffains; Renana Eitan; Kim T Blackwell; Hagai Bergman; Zvi Israel
Journal:  Mov Disord       Date:  2016-10-06       Impact factor: 10.338

2.  Borders of STN determined by MRI versus the electrophysiological STN. A comparison using intraoperative CT.

Authors:  Sander Bus; Pepijn van den Munckhof; Maarten Bot; Gian Pal; Bichun Ouyang; Sepehr Sani; Leo Verhagen Metman
Journal:  Acta Neurochir (Wien)       Date:  2017-12-23       Impact factor: 2.216

3.  Does trajectory matter? A study looking into the relationship of trajectory with target engagement and error accommodation in subthalamic nucleus deep brain stimulation.

Authors:  David Anthony Steel; Surajit Basu
Journal:  Acta Neurochir (Wien)       Date:  2017-03-30       Impact factor: 2.216

  3 in total

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