Literature DB >> 16741376

Automatic analysis and visualization of microelectrode recording trajectories to the subthalamic nucleus: preliminary results.

Jon Haakon Falkenberg1, James McNames, Jacques Favre, Kim J Burchiel.   

Abstract

Although microelectrode recordings (MER) are commonly used to confirm stereotactic targets during surgery for movement disorders, there is no consensus on whether the additional risks and cost of MER are worth the benefits. This may be due, in part, to the inconsistency and inefficiency of subjective interpretation of MER data that is currently used in practice. We describe several fully automatic visualization methods for MER that efficiently and clearly indicate segments of the microelectrode trajectories with homogeneous neural activity that correspond to expected deep brain nuclei. Specifically we demonstrate that these visualization methods can help identify the subthalamic nucleus in Parkinson's disease patients. These methods have the potential to significantly improve patient outcome by helping neurosurgeons objectively identify target structures more quickly and accurately. 2006 S. Karger AG, Basel

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Year:  2006        PMID: 16741376     DOI: 10.1159/000093721

Source DB:  PubMed          Journal:  Stereotact Funct Neurosurg        ISSN: 1011-6125            Impact factor:   1.875


  4 in total

1.  Depth-time interpolation of feature trends extracted from mobile microelectrode data with kernel functions.

Authors:  Stephen Wong; Eric L Hargreaves; Gordon H Baltuch; Jurg L Jaggi; Shabbar F Danish
Journal:  Stereotact Funct Neurosurg       Date:  2012-01-19       Impact factor: 1.875

2.  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

3.  Automated 3-dimensional brain atlas fitting to microelectrode recordings from deep brain stimulation surgeries.

Authors:  J Luis Luján; Angela M Noecker; Christopher R Butson; Scott E Cooper; Benjamin L Walter; Jerrold L Vitek; Cameron C McIntyre
Journal:  Stereotact Funct Neurosurg       Date:  2009-06-26       Impact factor: 1.875

4.  Prediction of STN-DBS Electrode Implantation Track in Parkinson's Disease by Using Local Field Potentials.

Authors:  Ilknur Telkes; Joohi Jimenez-Shahed; Ashwin Viswanathan; Aviva Abosch; Nuri F Ince
Journal:  Front Neurosci       Date:  2016-05-09       Impact factor: 4.677

  4 in total

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