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Frequency-dependent, transient effects of subthalamic nucleus deep brain stimulation on methamphetamine-induced circling and neuronal activity in the hemiparkinsonian rat.

Publication ,  Journal Article
So, RQ; McConnell, GC; Grill, WM
Published in: Behavioural brain research
March 2017

Methamphetamine-induced circling is used to quantify the behavioral effects of subthalamic nucleus (STN) deep brain stimulation (DBS) in hemiparkinsonian rats. We observed a frequency-dependent transient effect of DBS on circling, and quantified this effect to determine its neuronal basis. High frequency STN DBS (75-260Hz) resulted in transient circling contralateral to the lesion at the onset of stimulation, which was not sustained after the first several seconds of stimulation. Following the transient behavioral change, DBS resulted in a frequency-dependent steady-state reduction in pathological ipsilateral circling, but no change in overall movement. Recordings from single neurons in globus pallidus externa (GPe) and substantia nigra pars reticulata (SNr) revealed that high frequency, but not low frequency, STN DBS elicited transient changes in both firing rate and neuronal oscillatory power at the stimulation frequency in a subpopulation of GPe and SNr neurons. These transient changes were not sustained, and most neurons exhibited a different response during the steady-state phase of DBS. During the steady-state, DBS produced elevated neuronal oscillatory power at the stimulus frequency in a majority of GPe and SNr neurons, and the increase was more pronounced during high frequency DBS than during low frequency DBS. Changes in oscillatory power during both transient and steady-state DBS were highly correlated with changes in firing rates. These results suggest that distinct neural mechanisms were responsible for transient and sustained behavioral responses to STN DBS. The transient contralateral turning behavior following the onset of high frequency DBS was paralleled by transient changes in firing rate and oscillatory power in the GPe and SNr, while steady-state suppression of ipsilateral turning was paralleled by sustained increased synchronization of basal ganglia neurons to the stimulus pulses. Our analysis of distinct frequency-dependent transient and steady-state responses to DBS lays the foundation for future mechanistic studies of the immediate and persistent effects of DBS.

Duke Scholars

Published In

Behavioural brain research

DOI

EISSN

1872-7549

ISSN

0166-4328

Publication Date

March 2017

Volume

320

Start / End Page

119 / 127

Related Subject Headings

  • Time Factors
  • Subthalamic Nucleus
  • Rats, Long-Evans
  • Rats
  • Parkinsonian Disorders
  • Neurons
  • Neurology & Neurosurgery
  • Methamphetamine
  • Male
  • Linear Models
 

Citation

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So, R. Q., McConnell, G. C., & Grill, W. M. (2017). Frequency-dependent, transient effects of subthalamic nucleus deep brain stimulation on methamphetamine-induced circling and neuronal activity in the hemiparkinsonian rat. Behavioural Brain Research, 320, 119–127. https://doi.org/10.1016/j.bbr.2016.12.003
So, Rosa Q., George C. McConnell, and Warren M. Grill. “Frequency-dependent, transient effects of subthalamic nucleus deep brain stimulation on methamphetamine-induced circling and neuronal activity in the hemiparkinsonian rat.Behavioural Brain Research 320 (March 2017): 119–27. https://doi.org/10.1016/j.bbr.2016.12.003.
So, Rosa Q., et al. “Frequency-dependent, transient effects of subthalamic nucleus deep brain stimulation on methamphetamine-induced circling and neuronal activity in the hemiparkinsonian rat.Behavioural Brain Research, vol. 320, Mar. 2017, pp. 119–27. Epmc, doi:10.1016/j.bbr.2016.12.003.
Journal cover image

Published In

Behavioural brain research

DOI

EISSN

1872-7549

ISSN

0166-4328

Publication Date

March 2017

Volume

320

Start / End Page

119 / 127

Related Subject Headings

  • Time Factors
  • Subthalamic Nucleus
  • Rats, Long-Evans
  • Rats
  • Parkinsonian Disorders
  • Neurons
  • Neurology & Neurosurgery
  • Methamphetamine
  • Male
  • Linear Models