Linking profiles of pathway activation with clinical motor improvements – A retrospective computational study

Background: Deep brain stimulation (DBS) is an established therapy for patients with Parkinson’s disease. In silico computer models for DBS hold the potential to inform a selection of stimulation parameters. In recent years, the focus has shifted towards DBS-induced firing in myelinated axons, deeme...

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Main Authors: Konstantin Butenko, Ningfei Li, Clemens Neudorfer, Jan Roediger, Andreas Horn, Gregor R. Wenzel, Hazem Eldebakey, Andrea A. Kühn, Martin M. Reich, Jens Volkmann, Ursula van Rienen
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:NeuroImage: Clinical
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158222002509
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author Konstantin Butenko
Ningfei Li
Clemens Neudorfer
Jan Roediger
Andreas Horn
Gregor R. Wenzel
Hazem Eldebakey
Andrea A. Kühn
Martin M. Reich
Jens Volkmann
Ursula van Rienen
author_facet Konstantin Butenko
Ningfei Li
Clemens Neudorfer
Jan Roediger
Andreas Horn
Gregor R. Wenzel
Hazem Eldebakey
Andrea A. Kühn
Martin M. Reich
Jens Volkmann
Ursula van Rienen
author_sort Konstantin Butenko
collection DOAJ
description Background: Deep brain stimulation (DBS) is an established therapy for patients with Parkinson’s disease. In silico computer models for DBS hold the potential to inform a selection of stimulation parameters. In recent years, the focus has shifted towards DBS-induced firing in myelinated axons, deemed particularly relevant for the external modulation of neural activity.Objective: The aim of this project was to investigate correlations between patient-specific pathway activation profiles and clinical motor improvement.Methods: We used the concept of pathway activation modeling, which incorporates advanced volume conductor models and anatomically authentic fiber trajectories to estimate DBS-induced action potential initiation in anatomically plausible pathways that traverse in close proximity to targeted nuclei. We applied the method on two retrospective datasets of DBS patients, whose clinical improvement had been evaluated according to the motor part of the Unified Parkinson’s Disease Rating Scale. Based on differences in outcome and activation levels for intrapatient DBS protocols in a training cohort, we derived a pathway activation profile that theoretically induces a complete alleviation of symptoms described by UPDRS-III. The profile was further enhanced by analyzing the importance of matching activation levels for individual pathways.Results: The obtained profile emphasized the importance of activation in pathways descending from the motor-relevant cortical regions as well as the pallidothalamic pathways. The degree of similarity of patient-specific profiles to the optimal profile significantly correlated with clinical motor improvement in a test cohort.Conclusion: Pathway activation modeling has a translational utility in the context of motor symptom alleviation in Parkinson’s patients treated with DBS.
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spelling doaj.art-00db1aa1cd7e43eb83fb67b632bcc1aa2022-12-22T01:44:23ZengElsevierNeuroImage: Clinical2213-15822022-01-0136103185Linking profiles of pathway activation with clinical motor improvements – A retrospective computational studyKonstantin Butenko0Ningfei Li1Clemens Neudorfer2Jan Roediger3Andreas Horn4Gregor R. Wenzel5Hazem Eldebakey6Andrea A. Kühn7Martin M. Reich8Jens Volkmann9Ursula van Rienen10Institute of General Electrical Engineering, University of Rostock, Rostock, Germany; Movement Disorders and Neuromodulation Unit, Department for Neurology, Charité – Universitätsmedizin Berlin, Berlin, Germany; Corresponding author.Movement Disorders and Neuromodulation Unit, Department for Neurology, Charité – Universitätsmedizin Berlin, Berlin, GermanyMovement Disorders and Neuromodulation Unit, Department for Neurology, Charité – Universitätsmedizin Berlin, Berlin, GermanyMovement Disorders and Neuromodulation Unit, Department for Neurology, Charité – Universitätsmedizin Berlin, Berlin, Germany; Einstein Center for Neurosciences, Charité – Universitätsmedizin Berlin, Berlin, GermanyMovement Disorders and Neuromodulation Unit, Department for Neurology, Charité – Universitätsmedizin Berlin, Berlin, GermanyMovement Disorders and Neuromodulation Unit, Department for Neurology, Charité – Universitätsmedizin Berlin, Berlin, GermanyDepartment of Neurology, University Hospital Würzburg, Würzburg, GermanyMovement Disorders and Neuromodulation Unit, Department for Neurology, Charité – Universitätsmedizin Berlin, Berlin, GermanyDepartment of Neurology, University Hospital Würzburg, Würzburg, GermanyDepartment of Neurology, University Hospital Würzburg, Würzburg, GermanyInstitute of General Electrical Engineering, University of Rostock, Rostock, Germany; Department Life, Light & Matter, University of Rostock, Rostock, Germany; Department of Ageing of Individuals and Society, University of Rostock, Rostock, Germany; Corresponding author.Background: Deep brain stimulation (DBS) is an established therapy for patients with Parkinson’s disease. In silico computer models for DBS hold the potential to inform a selection of stimulation parameters. In recent years, the focus has shifted towards DBS-induced firing in myelinated axons, deemed particularly relevant for the external modulation of neural activity.Objective: The aim of this project was to investigate correlations between patient-specific pathway activation profiles and clinical motor improvement.Methods: We used the concept of pathway activation modeling, which incorporates advanced volume conductor models and anatomically authentic fiber trajectories to estimate DBS-induced action potential initiation in anatomically plausible pathways that traverse in close proximity to targeted nuclei. We applied the method on two retrospective datasets of DBS patients, whose clinical improvement had been evaluated according to the motor part of the Unified Parkinson’s Disease Rating Scale. Based on differences in outcome and activation levels for intrapatient DBS protocols in a training cohort, we derived a pathway activation profile that theoretically induces a complete alleviation of symptoms described by UPDRS-III. The profile was further enhanced by analyzing the importance of matching activation levels for individual pathways.Results: The obtained profile emphasized the importance of activation in pathways descending from the motor-relevant cortical regions as well as the pallidothalamic pathways. The degree of similarity of patient-specific profiles to the optimal profile significantly correlated with clinical motor improvement in a test cohort.Conclusion: Pathway activation modeling has a translational utility in the context of motor symptom alleviation in Parkinson’s patients treated with DBS.http://www.sciencedirect.com/science/article/pii/S2213158222002509Deep brain stimulationPathway activationUPDRS-III scorePallidothalamic pathwayComputational modelingParkinson’s disease
spellingShingle Konstantin Butenko
Ningfei Li
Clemens Neudorfer
Jan Roediger
Andreas Horn
Gregor R. Wenzel
Hazem Eldebakey
Andrea A. Kühn
Martin M. Reich
Jens Volkmann
Ursula van Rienen
Linking profiles of pathway activation with clinical motor improvements – A retrospective computational study
NeuroImage: Clinical
Deep brain stimulation
Pathway activation
UPDRS-III score
Pallidothalamic pathway
Computational modeling
Parkinson’s disease
title Linking profiles of pathway activation with clinical motor improvements – A retrospective computational study
title_full Linking profiles of pathway activation with clinical motor improvements – A retrospective computational study
title_fullStr Linking profiles of pathway activation with clinical motor improvements – A retrospective computational study
title_full_unstemmed Linking profiles of pathway activation with clinical motor improvements – A retrospective computational study
title_short Linking profiles of pathway activation with clinical motor improvements – A retrospective computational study
title_sort linking profiles of pathway activation with clinical motor improvements a retrospective computational study
topic Deep brain stimulation
Pathway activation
UPDRS-III score
Pallidothalamic pathway
Computational modeling
Parkinson’s disease
url http://www.sciencedirect.com/science/article/pii/S2213158222002509
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