Using point process models to describe rhythmic spiking in the subthalamic nucleus of Parkinson's patients

Uri T. Eden, Ramin Amirnovin, Emad N. Eskandar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Neurological disease is often associated with changes in firing activity in specific brain areas. Accurate statistical models of neural spiking can provide insight into the mechanisms by which the disease develops and clinical symptoms manifest. Point process theory provides a powerful framework for constructing, fitting, and evaluating the quality of neural spiking models. We illustrate an application of point process modeling to the problem of characterizing abnormal oscillatory firing patterns of neurons in the subthalamic nucleus (STN) of patients with Parkinson's disease (PD). We characterize the firing properties of these neurons by constructing conditional intensity models using spline basis functions that relate the spiking of each neuron to movement variables and the neuron's past firing history, both at short and long time scales. By calculating maximum likelihood estimators for all of the parameters and their significance levels, we are able to describe the relative propensity of aberrant STN spiking in terms of factors associated with voluntary movements, with intrinsic properties of the neurons, and factors that may be related to dysregulated network dynamics.

Original languageEnglish (US)
Title of host publication33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
Pages757-760
Number of pages4
DOIs
StatePublished - Dec 26 2011
Externally publishedYes
Event33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 - Boston, MA, United States
Duration: Aug 30 2011Sep 3 2011

Other

Other33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011
CountryUnited States
CityBoston, MA
Period8/30/119/3/11

Fingerprint

Subthalamic Nucleus
Neurons
Statistical Models
Splines
Maximum likelihood
Parkinson Disease
Brain
History

ASJC Scopus subject areas

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

Cite this

Eden, U. T., Amirnovin, R., & Eskandar, E. N. (2011). Using point process models to describe rhythmic spiking in the subthalamic nucleus of Parkinson's patients. In 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011 (pp. 757-760). [6090173] https://doi.org/10.1109/IEMBS.2011.6090173

Using point process models to describe rhythmic spiking in the subthalamic nucleus of Parkinson's patients. / Eden, Uri T.; Amirnovin, Ramin; Eskandar, Emad N.

33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. 2011. p. 757-760 6090173.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Eden, UT, Amirnovin, R & Eskandar, EN 2011, Using point process models to describe rhythmic spiking in the subthalamic nucleus of Parkinson's patients. in 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011., 6090173, pp. 757-760, 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011, Boston, MA, United States, 8/30/11. https://doi.org/10.1109/IEMBS.2011.6090173
Eden UT, Amirnovin R, Eskandar EN. Using point process models to describe rhythmic spiking in the subthalamic nucleus of Parkinson's patients. In 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. 2011. p. 757-760. 6090173 https://doi.org/10.1109/IEMBS.2011.6090173
Eden, Uri T. ; Amirnovin, Ramin ; Eskandar, Emad N. / Using point process models to describe rhythmic spiking in the subthalamic nucleus of Parkinson's patients. 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2011. 2011. pp. 757-760
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