TY - JOUR AU - Andree, Andrea AU - Li, Ningfei AU - Butenko, Konstantin AU - Kober, Maria AU - Chen, Jia Zhi AU - Higuchi, Takahiro AU - Fauser, Mareike AU - Storch, Alexander AU - Ip, Chi Wang AU - Kühn, Andrea AU - Horn, Andreas AU - van Rienen, Ursula TI - Deep brain stimulation electrode modeling in rats. JO - Experimental neurology VL - 350 SN - 0014-4886 CY - Orlando, Fla. PB - Academic Press M1 - DZNE-2022-00254 SP - 113978 PY - 2022 N1 - (CC BY-NC-ND) AB - 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. KW - Animals KW - Axons KW - Deep Brain Stimulation KW - Electrodes, Implanted KW - Magnetic Resonance Imaging KW - Male KW - Models, Animal KW - Models, Neurological KW - Neuroimaging KW - Rats KW - Reproducibility of Results KW - Software KW - Ventral Tegmental Area: diagnostic imaging KW - Animal models (Other) KW - Deep brain stimulation (Other) KW - Neuroimaging (Other) KW - Open-source (Other) KW - Parkinson's disease (Other) KW - Rat (Other) KW - Research software (Other) KW - Rodent (Other) LB - PUB:(DE-HGF)16 C6 - pmid:35026227 DO - DOI:10.1016/j.expneurol.2022.113978 UR - https://pub.dzne.de/record/163494 ER -