Towards a computational model for stimulation of the Pedunculopontine nucleus

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    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 languageUndefined
    Title of host publicationProceedings of the 18th annual computational neuroscience meeting (CNS) 2009
    Place of PublicationLondon, United Kingdom
    PublisherBioMed Central Ltd.
    Number of pages2
    Publication statusPublished - 13 Jul 2009
    Event18th Annual Computational Neuroscience Meeting, CNS 2009 - Berlin, Germany
    Duration: 18 Jul 200923 Jul 2009
    Conference number: 18

    Publication series

    NameBMC Neuroscience
    PublisherBiomed Central Neuroscience
    NumberSuppl 1
    ISSN (Print)1471-2202
    ISSN (Electronic)1471-2202


    Conference18th Annual Computational Neuroscience Meeting, CNS 2009
    Abbreviated titleCNS


    • METIS-265224
    • EWI-15994
    • Neuroscience
    • IR-67578

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