Towards a computational model for stimulation of the Pedunculopontine nucleus

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    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 languageUndefined
    Title of host publicationProceedings of the 18th annual computational neuroscience meeting (CNS) 2009
    Place of PublicationLondon, United Kingdom
    PublisherBioMed Central Ltd.
    Pages282-282
    Number of pages2
    DOIs
    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
    Volume10
    ISSN (Print)1471-2202
    ISSN (Electronic)1471-2202

    Conference

    Conference18th Annual Computational Neuroscience Meeting, CNS 2009
    Abbreviated titleCNS
    CountryGermany
    CityBerlin
    Period18/07/0923/07/09

    Keywords

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

    Cite this

    Lourens, M. A. J., Meijer, H. G. E., Heida, T., & van Gils, S. A. (2009). Towards a computational model for stimulation of the Pedunculopontine nucleus. In Proceedings of the 18th annual computational neuroscience meeting (CNS) 2009 (pp. 282-282). (BMC Neuroscience; Vol. 10, No. Suppl 1). London, United Kingdom: BioMed Central Ltd.. https://doi.org/10.1186/1471-2202-10-S1-P282
    Lourens, Marcel Antonius Johannes ; Meijer, Hil Gaétan Ellart ; Heida, Tjitske ; van Gils, Stephanus A. / Towards a computational model for stimulation of the Pedunculopontine nucleus. Proceedings of the 18th annual computational neuroscience meeting (CNS) 2009. London, United Kingdom : BioMed Central Ltd., 2009. pp. 282-282 (BMC Neuroscience; Suppl 1).
    @inproceedings{bace4cf7293d46b0bc69c6148281aaf8,
    title = "Towards a computational model for stimulation of the Pedunculopontine nucleus",
    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.",
    keywords = "METIS-265224, EWI-15994, Neuroscience, IR-67578",
    author = "Lourens, {Marcel Antonius Johannes} and Meijer, {Hil Ga{\'e}tan Ellart} and Tjitske Heida and {van Gils}, {Stephanus A.}",
    note = "Proceedings of the 18th Annual Computational Neuroscience Meeting (CNS) 2009, Berlin, Germany 18-23 July 2009",
    year = "2009",
    month = "7",
    day = "13",
    doi = "10.1186/1471-2202-10-S1-P282",
    language = "Undefined",
    series = "BMC Neuroscience",
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    number = "Suppl 1",
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    Lourens, MAJ, Meijer, HGE, Heida, T & van Gils, SA 2009, Towards a computational model for stimulation of the Pedunculopontine nucleus. in Proceedings of the 18th annual computational neuroscience meeting (CNS) 2009. BMC Neuroscience, no. Suppl 1, vol. 10, BioMed Central Ltd., London, United Kingdom, pp. 282-282, 18th Annual Computational Neuroscience Meeting, CNS 2009, Berlin, Germany, 18/07/09. https://doi.org/10.1186/1471-2202-10-S1-P282

    Towards a computational model for stimulation of the Pedunculopontine nucleus. / Lourens, Marcel Antonius Johannes; Meijer, Hil Gaétan Ellart; Heida, Tjitske; van Gils, Stephanus A.

    Proceedings of the 18th annual computational neuroscience meeting (CNS) 2009. London, United Kingdom : BioMed Central Ltd., 2009. p. 282-282 (BMC Neuroscience; Vol. 10, No. Suppl 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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    AU - Meijer, Hil Gaétan Ellart

    AU - Heida, Tjitske

    AU - van Gils, Stephanus A.

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    AB - 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.

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    Lourens MAJ, Meijer HGE, Heida T, van Gils SA. Towards a computational model for stimulation of the Pedunculopontine nucleus. In Proceedings of the 18th annual computational neuroscience meeting (CNS) 2009. London, United Kingdom: BioMed Central Ltd. 2009. p. 282-282. (BMC Neuroscience; Suppl 1). https://doi.org/10.1186/1471-2202-10-S1-P282