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000163494 0247_ $$2doi$$a10.1016/j.expneurol.2022.113978
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000163494 037__ $$aDZNE-2022-00254
000163494 041__ $$aEnglish
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000163494 1001_ $$aAndree, Andrea$$b0
000163494 245__ $$aDeep brain stimulation electrode modeling in rats.
000163494 260__ $$aOrlando, Fla.$$bAcademic Press$$c2022
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000163494 520__ $$aDeep 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.
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000163494 650_7 $$2Other$$aAnimal models
000163494 650_7 $$2Other$$aDeep brain stimulation
000163494 650_7 $$2Other$$aNeuroimaging
000163494 650_7 $$2Other$$aOpen-source
000163494 650_7 $$2Other$$aParkinson's disease
000163494 650_7 $$2Other$$aRat
000163494 650_7 $$2Other$$aResearch software
000163494 650_7 $$2Other$$aRodent
000163494 650_2 $$2MeSH$$aAnimals
000163494 650_2 $$2MeSH$$aAxons
000163494 650_2 $$2MeSH$$aDeep Brain Stimulation
000163494 650_2 $$2MeSH$$aElectrodes, Implanted
000163494 650_2 $$2MeSH$$aMagnetic Resonance Imaging
000163494 650_2 $$2MeSH$$aMale
000163494 650_2 $$2MeSH$$aModels, Animal
000163494 650_2 $$2MeSH$$aModels, Neurological
000163494 650_2 $$2MeSH$$aNeuroimaging
000163494 650_2 $$2MeSH$$aRats
000163494 650_2 $$2MeSH$$aReproducibility of Results
000163494 650_2 $$2MeSH$$aSoftware
000163494 650_2 $$2MeSH$$aVentral Tegmental Area: diagnostic imaging
000163494 7001_ $$aLi, Ningfei$$b1
000163494 7001_ $$aButenko, Konstantin$$b2
000163494 7001_ $$aKober, Maria$$b3
000163494 7001_ $$aChen, Jia Zhi$$b4
000163494 7001_ $$aHiguchi, Takahiro$$b5
000163494 7001_ $$0P:(DE-2719)9000068$$aFauser, Mareike$$b6$$udzne
000163494 7001_ $$0P:(DE-2719)9000306$$aStorch, Alexander$$b7$$udzne
000163494 7001_ $$aIp, Chi Wang$$b8
000163494 7001_ $$0P:(DE-2719)2811089$$aKühn, Andrea$$b9$$udzne
000163494 7001_ $$aHorn, Andreas$$b10
000163494 7001_ $$avan Rienen, Ursula$$b11
000163494 773__ $$0PERI:(DE-600)1466932-8$$a10.1016/j.expneurol.2022.113978$$gVol. 350, p. 113978 -$$p113978$$tExperimental neurology$$v350$$x0014-4886$$y2022
000163494 8564_ $$uhttps://pub.dzne.de/record/163494/files/DZNE-2022-00254.pdf$$yOpenAccess
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