Statistical Methods of Analysis and Visualization of Extracellular Microelectrode Recordings

J. H. Falkenberg, J. McNames, K. J. Burchiel

Research output: Contribution to journalConference article

4 Scopus citations

Abstract

Determining neuronal structures during stereotactic surgery in Parkinson's disease (PD) patients is a prerequisite for optimal placement of deep brain stimulation electrodes and/or neuronal ablation. This study describes statistical signal processing methods that automatically analyze microelectrode recordings and display a neurophysiological brainmap of the stereotactic trajectory. The spontaneous signals along the trajectory were recorded during neurosurgery of PD patients and analyzed post surgery. Our approach applies characterizations and visualization of energy, marginal probability density function, power spectral density, the time-domain signal, the autocorrelation function and partial autocorrelation function of the microelectrode recordings at the different depths along the trajectory. These are novel analysis methods of microelectrode recordings and enable neurosurgeons to easily distinguish adjacent brain structures and characteristics within and between the neuronal structures even when spike detection is impossible.

Original languageEnglish (US)
Pages (from-to)2515-2518
Number of pages4
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume3
StatePublished - Dec 1 2003
EventA New Beginning for Human Health: Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Cancun, Mexico
Duration: Sep 17 2003Sep 21 2003

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Keywords

  • Automatic microelectrode recording
  • Parkinson's disease
  • Statistical signal processing
  • Visualization

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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