The uncertainty quantification problem in Transcranial Magnetic Stimulation is solved by means of a realistic head model and considering the statistical correlation between grey matter and white matter electrical conductivities. The fast model order reduction approach, introduced by the authors, is extended here to the general case of correlated random parameters. Numerical results prove that correlations between tissue conductivities must be taken into account since their impact on the probability density function of the induced electric field is relevant.

Uncertainty quantification in transcranial magnetic stimulation with correlation between tissue conductivities

CODECASA, LORENZO;DI RIENZO, LUCA;
2017-01-01

Abstract

The uncertainty quantification problem in Transcranial Magnetic Stimulation is solved by means of a realistic head model and considering the statistical correlation between grey matter and white matter electrical conductivities. The fast model order reduction approach, introduced by the authors, is extended here to the general case of correlated random parameters. Numerical results prove that correlations between tissue conductivities must be taken into account since their impact on the probability density function of the induced electric field is relevant.
2017
2017 International Applied Computational Electromagnetics Society Symposium - Italy, ACES 2017
9780996007832
Model order reduction; Transcranial magnetic stimulation; Uncertainy quantification; Radiation; Signal Processing; Computational Mathematics; Instrumentation
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1027670
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