Exploiting pallidal plasticity for stimulation in Parkinson's disease
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Exploiting pallidal plasticity for stimulation in Parkinson's disease. / Lourens, Marcel A J; Schwab, Bettina C; Nirody, Jasmine A; Meijer, Hil G E; van Gils, Stephan A.
in: J NEURAL ENG, Jahrgang 12, Nr. 2, 04.2015, S. 026005.Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung
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TY - JOUR
T1 - Exploiting pallidal plasticity for stimulation in Parkinson's disease
AU - Lourens, Marcel A J
AU - Schwab, Bettina C
AU - Nirody, Jasmine A
AU - Meijer, Hil G E
AU - van Gils, Stephan A
PY - 2015/4
Y1 - 2015/4
N2 - OBJECTIVE: Continuous application of high-frequency deep brain stimulation (DBS) often effectively reduces motor symptoms of Parkinson's disease patients. While there is a growing need for more effective and less traumatic stimulation, the exact mechanism of DBS is still unknown. Here, we present a methodology to exploit the plasticity of GABAergic synapses inside the external globus pallidus (GPe) for the optimization of DBS.APPROACH: Assuming the existence of spike-timing-dependent plasticity (STDP) at GABAergic GPe-GPe synapses, we simulate neural activity in a network model of the subthalamic nucleus and GPe. In particular, we test different DBS protocols in our model and quantify their influence on neural synchrony.MAIN RESULTS: In an exemplary set of biologically plausible model parameters, we show that STDP in the GPe has a direct influence on neural activity and especially the stability of firing patterns. STDP stabilizes both uncorrelated firing in the healthy state and correlated firing in the parkinsonian state. Alternative stimulation protocols such as coordinated reset stimulation can clearly profit from the stabilizing effect of STDP. These results are widely independent of the STDP learning rule.SIGNIFICANCE: Once the model settings, e.g., connection architectures, have been described experimentally, our model can be adjusted and directly applied in the development of novel stimulation protocols. More efficient stimulation leads to both minimization of side effects and savings in battery power.
AB - OBJECTIVE: Continuous application of high-frequency deep brain stimulation (DBS) often effectively reduces motor symptoms of Parkinson's disease patients. While there is a growing need for more effective and less traumatic stimulation, the exact mechanism of DBS is still unknown. Here, we present a methodology to exploit the plasticity of GABAergic synapses inside the external globus pallidus (GPe) for the optimization of DBS.APPROACH: Assuming the existence of spike-timing-dependent plasticity (STDP) at GABAergic GPe-GPe synapses, we simulate neural activity in a network model of the subthalamic nucleus and GPe. In particular, we test different DBS protocols in our model and quantify their influence on neural synchrony.MAIN RESULTS: In an exemplary set of biologically plausible model parameters, we show that STDP in the GPe has a direct influence on neural activity and especially the stability of firing patterns. STDP stabilizes both uncorrelated firing in the healthy state and correlated firing in the parkinsonian state. Alternative stimulation protocols such as coordinated reset stimulation can clearly profit from the stabilizing effect of STDP. These results are widely independent of the STDP learning rule.SIGNIFICANCE: Once the model settings, e.g., connection architectures, have been described experimentally, our model can be adjusted and directly applied in the development of novel stimulation protocols. More efficient stimulation leads to both minimization of side effects and savings in battery power.
KW - Computer Simulation
KW - Deep Brain Stimulation/methods
KW - Globus Pallidus/physiopathology
KW - Humans
KW - Models, Neurological
KW - Nerve Net/physiopathology
KW - Neuronal Plasticity
KW - Parkinson Disease/physiopathology
KW - Therapy, Computer-Assisted/methods
U2 - 10.1088/1741-2560/12/2/026005
DO - 10.1088/1741-2560/12/2/026005
M3 - SCORING: Journal article
C2 - 25650741
VL - 12
SP - 026005
JO - J NEURAL ENG
JF - J NEURAL ENG
SN - 1741-2560
IS - 2
ER -