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- Alexander Taghva.
- Department of Neurological Surgery, Keck School of Medicine, University of Southern California, Los Angeles, California, USA. taghva@usc.edu
- World Neurosurg. 2011 May 1;75(5-6):758-763.e4.
ObjectiveTo describe an approach to the analysis of deep brain stimulation (DBS) of the subthalamic nucleus (STN) using a hidden semi-Markov model (HsMM) and early results of the analysis of microelectrode recordings for STN DBS.MethodsThe author simulated the anatomy and electrophysiology of STN DBS and built a seven-state model to compare Hidden Markov model (HMM) and HsMM approaches.ResultsAccuracy of these competing models was similar for correctly identifying brain nuclei; however, HsMMs showed superior specificity in detecting microelectrode passes traversing the STN.ConclusionsFurther clinical work must be done; however, based on these data, HsMMs may be best suited to computer-assisted anatomic delineation for DBS.Copyright © 2011 Elsevier Inc. All rights reserved.
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