Abstract
The pedunculopontine nucleus (PPN) has recently been suggested as a new therapeutic target for deep brain stimulation (DBS) in patients suffering from Parkinson's disease, particularly those with severe gait and postural impairment [1]. Stimulation at this site is typically delivered at low frequencies in contrast to the high frequency stimulation required for therapeutic benefit in the subthalamic nucleus (STN) [1]. Despite real therapeutic successes, the fundamental physiological mechanisms underlying the effect of DBS are still not understood. A hypothesis is that DBS masks the pathological synchronized firing patterns of the basal ganglia that characterize the Parkinsonian state with a regularized firing pattern. It remains unclear why stimulation of PPN should be applied with low frequency in contrast to the high frequency stimulation of STN. To get a better understanding of PPN stimulation we construct a computational model for the PPN Type I neurons in a network.
Original language | Undefined |
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Title of host publication | Proceedings of the 18th annual computational neuroscience meeting (CNS) 2009 |
Place of Publication | London, United Kingdom |
Publisher | BioMed Central |
Pages | 282-282 |
Number of pages | 2 |
DOIs | |
Publication status | Published - 13 Jul 2009 |
Event | 18th Annual Computational Neuroscience Meeting, CNS 2009 - Berlin, Germany Duration: 18 Jul 2009 → 23 Jul 2009 Conference number: 18 |
Publication series
Name | BMC Neuroscience |
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Publisher | Biomed Central Neuroscience |
Number | Suppl 1 |
Volume | 10 |
ISSN (Print) | 1471-2202 |
ISSN (Electronic) | 1471-2202 |
Conference
Conference | 18th Annual Computational Neuroscience Meeting, CNS 2009 |
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Abbreviated title | CNS |
Country/Territory | Germany |
City | Berlin |
Period | 18/07/09 → 23/07/09 |
Keywords
- METIS-265224
- EWI-15994
- Neuroscience
- IR-67578