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Towards an optimised deep brain stimulation using a large-scale computational network and realistic volume conductor model.

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第一作者： Konstantinos,Spiliotis

第一单位： Institute of Mathematics, University of Rostock, Rostock, Germany.

作者： Konstantinos,Spiliotis ^[1] ; Konstantin,Butenko ^[2] ; Jens,Starke ^[1] ; Ursula,van Rienen ^[3] ; Rüdiger,Köhling ^[4]

作者单位： Institute of Mathematics, University of Rostock, Rostock, Germany. ^[1] Institute of General Electrical Engineering, University of Rostock, Rostock, Germany.;Movement Disorders and Neuromodulation Unit, Department for Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany. ^[2] Institute of General Electrical Engineering, University of Rostock, Rostock, Germany.;Department Life, Light and Matter, University of Rostock, Rostock, Germany.;Department of Ageing of Individuals and Society, University of Rostock, Rostock, Germany. ^[3] Department of Ageing of Individuals and Society, University of Rostock, Rostock, Germany.;Oscar-Langendorff-Institute of Physiology, Rostock University Medical Center, Rostock, Germany. ^[4]

关键词 Parkinson’s disease basal ganglia-thalamocortical neuronal network deep brain stimulation large-scale biophysical network pathway activation thalamic spatio-temporal activity volume conductor model

医学主题词人类(Humans);深部脑刺激法(Deep Brain Stimulation);基底神经节(Basal Ganglia);帕金森病(Parkinson Disease);丘脑(Thalamus)

DOI 10.1088/1741-2552/ad0e7c

PMID 37988747

发布时间 2024-01-17

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