Journal Article

DZNE-2022-00254

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Deep brain stimulation electrode modeling in rats.

Andree, A. ; Li, N. ; Butenko, K. ; Kober, M. ; Chen, J. Z. ; Higuchi, T. ; Fauser, M.Extern* ; Storch, A.DZNE* ; Ip, C. W. ; Kühn, A.Extern* ; Horn, A. ; van Rienen, U.

2022
Academic Press Orlando, Fla.

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Please use a persistent id in citations: doi:10.1016/j.expneurol.2022.113978

Abstract: Deep Brain Stimulation (DBS) is an efficacious treatment option for an increasing range of brain disorders. To enhance our knowledge about the mechanisms of action of DBS and to probe novel targets, basic research in animal models with DBS is an essential research base. Beyond nonhuman primate, pig, and mouse models, the rat is a widely used animal model for probing DBS effects in basic research. Reconstructing DBS electrode placement after surgery is crucial to associate observed effects with modulating a specific target structure. Post-mortem histology is a commonly used method for reconstructing the electrode location. In humans, however, neuroimaging-based electrode localizations have become established. For this reason, we adapt the open-source software pipeline Lead-DBS for DBS electrode localizations from humans to the rat model. We validate our localization results by inter-rater concordance and a comparison with the conventional histological method. Finally, using the open-source software pipeline OSS-DBS, we demonstrate the subject-specific simulation of the VTA and the activation of axon models aligned to pathways representing neuronal fibers, also known as the pathway activation model. Both activation models yield a characterization of the impact of DBS on the target area. Our results suggest that the proposed neuroimaging-based method can precisely localize DBS electrode placements that are essentially rater-independent and yield results comparable to the histological gold standard. The advantages of neuroimaging-based electrode localizations are the possibility of acquiring them in vivo and combining electrode reconstructions with advanced imaging metrics, such as those obtained from diffusion or functional magnetic resonance imaging (MRI). This paper introduces a freely available open-source pipeline for DBS electrode reconstructions in rats. The presented initial validation results are promising.

Keyword(s): Animals (MeSH) ; Axons (MeSH) ; Deep Brain Stimulation (MeSH) ; Electrodes, Implanted (MeSH) ; Magnetic Resonance Imaging (MeSH) ; Male (MeSH) ; Models, Animal (MeSH) ; Models, Neurological (MeSH) ; Neuroimaging (MeSH) ; Rats (MeSH) ; Reproducibility of Results (MeSH) ; Software (MeSH) ; Ventral Tegmental Area: diagnostic imaging (MeSH) ; Animal models ; Deep brain stimulation ; Neuroimaging ; Open-source ; Parkinson's disease ; Rat ; Research software ; Rodent

Note: (CC BY-NC-ND)

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Contributing Institute(s):

1. Non-motor symptoms in Parkinson's disease (AG Storch 2 Rostock)

Research Program(s):

1. 353 - Clinical and Health Care Research (POF4-353) (POF4-353)

Appears in the scientific report 2022

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Database coverage:
; ; ; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Life Sciences ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 5 ; JCR ; Nationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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Linked articles:

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Journal Article (Erratum/Correction) Andree, A. ; Li, N. ; Butenko, K. ; Kober, M. ; Chen, J. ; Higuchi, T. ; Fauser, M. ; Storch, A.DZNE* ; Ip, C. W. ; Kühn, A.Extern* ; Horn, A. ; van Rienen, U.
Corrigendum to 'Deep brain stimulation electrode modeling in rats' [Volume 350, 2022, 113978, ISSN 0014-4886].
Experimental neurology 388, 115221 (2025) [10.1016/j.expneurol.2025.115221]2025   Files BibTeX | EndNote: XML, Text | RIS

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