Paper Info
Title
Evaluation Of Epistemic Uncertainties For Bipolar Deep Brain Stimulation In Rodent Models
Abstract
Rodent models are widely used in research on deep brain stimulation (DBS) for testing hypotheses of the action mechanism. However, differences in anatomy and technology for DBS in humans and rodents might lead to a non-identical effect on the neural activity. Particularly, strong deviations can be introduced by epistemic uncertainties related to the electrode implantation. In this study, the influence of encapsulation layer properties and implantation precision on axonal activation is quantified using polynomial chaos expansion. In order to improve the efficiency of computations, three truncation methods for the signal frequency spectrum are proposed and evaluated, allowing a tenfold speedup in the particular study. The results of uncertainty quantification on the axonal activity inside the targeted nucleus suggest a major effect of the encapsulation thickness, while the precision of implantation is found to be crucial due to possible direct activation in neighboring structures.
Year
DOI
Venue
2019
10.1109/EMBC.2019.8857910
2019 41ST ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC)
Field
DocType
Volume
Truncation,Deep brain stimulation,Uncertainty quantification,Computer science,Signal frequency,Neural activity,Polynomial chaos,Epistemology,Encapsulation (computer programming),Speedup
Conference
2019
ISSN
Citations 
PageRank 
1557-170X
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Konstantin Butenko101.01
Christian Bahls200.34
Ursula van Rienen346.19