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- Cubo, RubénUppsala universitet,Reglerteknik,Avdelningen för systemteknik (author)
Semi-Individualized electrical models in deep brain stimulation : A variability analysis
- Article/chapterEnglish2017
Publisher, publication year, extent ...
- IEEE,2017
- printrdacarrier
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- LIBRIS-ID:oai:DiVA.org:uu-347344
- https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-347344URI
- https://doi.org/10.1109/CCTA.2017.8062514DOI
Supplementary language notes
- Language:English
- Summary in:English
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- SwePubSwePub
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Notes
- Deep Brain Stimulation (DBS) is a well-established treatment in neurodegenerative diseases, e.g. Parkinson's Disease. It consists of delivering electrical stimuli to a target in the brain via a chronically implanted lead. To expedite the tuning of DBS stimuli to best therapeutical effect, mathematical models have been developed during recent years. The electric field produced by the stimuli in the brain for a given lead position is evaluated by numerically solving a Partial Differential Equation with the medium conductivity as a parameter. The latter is patient- and target-specific but difficult to measure in vivo. Estimating brain tissue conductivity through medical imaging is feasible but time consuming due to registration, segmentation and post-processing. On the other hand, brain atlases are readily available and processed. This study analyzes how alternations in the conductivity due to inter-patient variability or lead position uncertainties affect both the stimulation shape and the activation of a given target. Results suggest that stimulation shapes are similar, with a Dice's Coefficient between 93.2 and 98.8%, with a higher similarity at lower depths. On the other hand, activation shows a significant variation of 17 percentage points, with most of it being at deeper positions as well. It is concluded that, as long as the lead is not too deep, atlases can be used for conductivity maps with acceptable accuracy instead of fully individualized though medical imaging models.
Subject headings and genre
- TEKNIK OCH TEKNOLOGIER Elektroteknik och elektronik Reglerteknik hsv//swe
- ENGINEERING AND TECHNOLOGY Electrical Engineering, Electronic Engineering, Information Engineering Control Engineering hsv//eng
- TEKNIK OCH TEKNOLOGIER Medicinteknik Annan medicinteknik hsv//swe
- ENGINEERING AND TECHNOLOGY Medical Engineering Other Medical Engineering hsv//eng
- bioelectric phenomena
- biological tissues
- biomedical electrodes
- brain
- diseases
- neurophysiology
- partial differential equations
- patient treatment
- DBS stimuli
- Parkinson disease
- Partial Differential Equation
- brain atlases
- brain tissue conductivity
- chronically implanted lead
- deep brain stimulation
- electric field
- electrical stimuli
- interpatient variability
- medical imaging models
- neurodegenerative diseases
- semiIndividualized electrical models
- variability analysis
- Brain modeling
- Computational modeling
- Conductivity
- Lead
- Mathematical model
- Satellite broadcasting
Added entries (persons, corporate bodies, meetings, titles ...)
- Fahlström, MarkusUppsala universitet,Radiologi,Uppsala Univ Hosp, Dept Biomed Technol Med Phys & IT, Uppsala, Sweden(Swepub:uu)marfa863 (author)
- Jiltsova, ElenaUppsala universitet,Neurologi(Swepub:uu)eleji951 (author)
- Andersson, HelenaUppsala universitet,Avdelningen för systemteknik,Reglerteknik(Swepub:uu)helan424 (author)
- Medvedev, Alexander,1958-Uppsala universitet,Avdelningen för systemteknik,Reglerteknik(Swepub:uu)almed173 (author)
- Uppsala universitetReglerteknik (creator_code:org_t)
Related titles
- In:2017 IEEE Conference on Control Technology and Applications (CCTA): IEEE, s. 517-522978150902183397815090218269781509021819
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