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Pregled bibliografske jedinice broj: 1159157

Uncertainty quantification and sensitivity analysis of transcranial electric stimulation for 9-subdomain human head model


Šušnjara, Anna; Verhnjak, Ožbej; Poljak, Dragan; Cvetković, Mario; Ravnik, Jure
Uncertainty quantification and sensitivity analysis of transcranial electric stimulation for 9-subdomain human head model // Engineering analysis with boundary elements, 135 (2022), 1-11 doi:10.1016/j.enganabound.2021.10.026 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1159157 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Uncertainty quantification and sensitivity analysis of transcranial electric stimulation for 9-subdomain human head model

Autori
Šušnjara, Anna ; Verhnjak, Ožbej ; Poljak, Dragan ; Cvetković, Mario ; Ravnik, Jure

Izvornik
Engineering analysis with boundary elements (0955-7997) 135 (2022); 1-11

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Analysis of variance ; Boundary element method ; Stochastic collocation ; Transcranial electric stimulation ; 9-subdomain head model

Sažetak
This paper deals with uncertainty quantification of transcranial electric stimulation (TES) of realistic human head model. The head model taken from Visible Human Project consists of 9 subdomains: scalp, skull, CSF, grey matter, white matter, cerebellum, ventricles, jaw and tongue. The deterministic computation of quasi-static induced electric scalar potential features boundary element method (BEM). Conductivities of each subdomain are modelled as uniformly distributed random variables and stochastic analysis features a non-intrusive stochastic collocation method (SCM). The input uncertainties impact only the magnitude of the electric scalar potential and not the position of the potential extrema. Skin and brain conductivities play the most important role, while CSF conductivity has negligible impact on the output potential variance. The significance of the skull conductivity is not high for the chosen input parameter setup. In the previous work authors considered 3-compartment head model which consisted of scalp, skull and brain compartments. The presented model is a step forward in SCM+BEM TES analysis, primarily in terms of model complexity. Comparing the results of the two analyses it can be concluded that the uncertainty in the added tissues’ conductivities do not impact the variation of the output electric potential.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike, strojarstva i brodogradnje, Split

Profili:

Avatar Url Anna Šušnjara (autor)

Avatar Url Mario Cvetković (autor)

Avatar Url Dragan Poljak (autor)

Poveznice na cjeloviti tekst rada:

doi www.sciencedirect.com www.sciencedirect.com

Citiraj ovu publikaciju:

Šušnjara, Anna; Verhnjak, Ožbej; Poljak, Dragan; Cvetković, Mario; Ravnik, Jure
Uncertainty quantification and sensitivity analysis of transcranial electric stimulation for 9-subdomain human head model // Engineering analysis with boundary elements, 135 (2022), 1-11 doi:10.1016/j.enganabound.2021.10.026 (međunarodna recenzija, članak, znanstveni)
Šušnjara, A., Verhnjak, O., Poljak, D., Cvetković, M. & Ravnik, J. (2022) Uncertainty quantification and sensitivity analysis of transcranial electric stimulation for 9-subdomain human head model. Engineering analysis with boundary elements, 135, 1-11 doi:10.1016/j.enganabound.2021.10.026.
@article{article, author = {\v{S}u\v{s}njara, Anna and Verhnjak, O\v{z}bej and Poljak, Dragan and Cvetkovi\'{c}, Mario and Ravnik, Jure}, year = {2022}, pages = {1-11}, DOI = {10.1016/j.enganabound.2021.10.026}, keywords = {Analysis of variance, Boundary element method, Stochastic collocation, Transcranial electric stimulation, 9-subdomain head model}, journal = {Engineering analysis with boundary elements}, doi = {10.1016/j.enganabound.2021.10.026}, volume = {135}, issn = {0955-7997}, title = {Uncertainty quantification and sensitivity analysis of transcranial electric stimulation for 9-subdomain human head model}, keyword = {Analysis of variance, Boundary element method, Stochastic collocation, Transcranial electric stimulation, 9-subdomain head model} }
@article{article, author = {\v{S}u\v{s}njara, Anna and Verhnjak, O\v{z}bej and Poljak, Dragan and Cvetkovi\'{c}, Mario and Ravnik, Jure}, year = {2022}, pages = {1-11}, DOI = {10.1016/j.enganabound.2021.10.026}, keywords = {Analysis of variance, Boundary element method, Stochastic collocation, Transcranial electric stimulation, 9-subdomain head model}, journal = {Engineering analysis with boundary elements}, doi = {10.1016/j.enganabound.2021.10.026}, volume = {135}, issn = {0955-7997}, title = {Uncertainty quantification and sensitivity analysis of transcranial electric stimulation for 9-subdomain human head model}, keyword = {Analysis of variance, Boundary element method, Stochastic collocation, Transcranial electric stimulation, 9-subdomain head model} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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