1 citations · 2 across the 10 of their papers we have counts for
11 papers
A Complete-Electrode-Model-Based Forward Approach for Transcranial Temporal Interference Stimulation with Linearization: A Numerical Simulation Study
Santtu Söderholm, Maryam Samavaki, Sampsa Pursiainen
Background and Objective: Transcranial temporal interference stimulation (tTIS) is a promising non-invasive brain stimulation technique in which interference between electrical cur…
In Silico Study for Optimizing Intensity and Focality Electrode Configurations for Directional DBS Under Uncertainty Using Metaheuristic L1L1 Method
Fernando Galaz Prieto, Antti Lassila, Maryam Samavaki +1
Background and Objective: As Deep Brain Stimulation (DBS) advances toward directional leads and optimization-based current steering, selecting electrode contact configurations beco…
A Coupled Diffusion Approximation for Spatiotemporal Hemodynamic Response and Deoxygenated Blood Volume Fraction in Microcirculation
Maryam Samavaki, Santtu Söderholm, Arash Zarrin Nia +1
Background and Objective: This proof of concept study investigates mathematical modelling of blood flow and oxygen transport in cerebral microcirculation, focusing on understanding…
Navier-Stokes Modelling of Non-Newtonian Blood Flow in Cerebral Arterial Circulation and its Dynamic Impact on Electrical Conductivity in a Realistic Multi-Compartment Head Model
Maryam Samavaki, Arash Zarrin Nia, Santtu Söderholm +1
Background and Objective: This study aims to evaluate the dynamic effect of non-Newtonian cerebral arterial circulation on electrical conductivity distribution (ECD) in a realistic…
Pressure-Poisson Equation in Numerical Simulation of Cerebral Arterial Circulation and Its Effect on the Electrical Conductivity of the Brain
Maryam Samavaki, Yusuf Oluwatoki Yusuf, Arash Zarrin nia +4
This study considers dynamic modelling of the cerebral arterial circulation and reconstructing an atlas for the electrical conductivity of the brain. While high-resolution 7-Tesla…
Generating Optimally Focal and Intense Current Patterns in tES via Metaheuristic L1-L1 Search: Interior-Point vs. Simplex Algorithms
F. Galaz Prieto, M. Samavaki, S. Pursiainen
This numerical simulation study investigates solving the L1-norm fitted and regularized (L1-L1) linear programming (LP) problem to find a well-localized volumetric current density…
L1-norm vs. L2-norm fitting in optimizing focal multi-channel tES stimulation: linear and semidefinite programming vs. weighted least squares
Fernando Galaz Prieto, Atena Rezaei, Maryam Samavaki +1
This study focuses on Multi-Channel Transcranial Electrical Stimulation, a non-invasive brain method for stimulating neuronal activity under the influence of low-intensity currents…
Multi-compartment human head modeling: generating adaptive tetrahedral mesh with GPU acceleration
Fernando Galaz Prieto, Joonas Lahtinen, Maryam Samavaki +1
This paper introduces a highly adaptive and automated approach for generating Finite Element (FE) discretization for a given realistic multi-compartment human head model obtained t…
On some classes of Riemannian manifolds
Maryam Samavaki, Jukka Tuomela
We study several classes of Riemannian manifolds which are defined by imposing a certain condition on the Ricci tensor. We consider the following cases: Ricci recurrent, Cotton, qu…
On the numerical computation of Killing and conformally Killing vector fields on compact Riemannian manifolds
Gaëlle Brunet, Maryam Samavaki, Jukka Tuomela
The defining equations for Killing vector fields and conformal Killing vector fields are overdetermined systems of PDE. This makes it difficult to solve the systems numerically. We…
Navier-Stokes equations on Riemannian manifolds
Maryam Samavaki, Jukka Tuomela
We study properties of the solutions to Navier-Stokes system on compact Riemannian manifolds. The motivation for such a formulation comes from atmospheric models as well as some th…