activity
20082026
most citedDUNEuro -- A software toolbox for forward modeling in bioelectromagnetism

64 citations · 229 across the 35 of their papers we have counts for

collaborators

36 papers

math.NA2026

Advanced EEG Source Models from the Perspective of FEM and Inverse Solutions

Santtu Söderholm, Joonas Lahtinen, Sampsa Pursiainen

In this study, we compare forward solutions computed with finite element methods in Zeffiro Interface and DUNEuro, using the different source models they provided. We compared two…

math.NA2026

Forward--Inverse Interplay in FEM-Based EEG Source Imaging: Distributional Signatures of Advanced Source Models and Inverse Solvers

Santtu Söderholm, Joonas Lahtinen, Sampsa Pursiainen

Electroencephalography (EEG) source imaging aims to infer brain activity from electrical potentials measured on the scalp. This is a difficult problem because many different source…

physics.med-ph2026

Multi-Compartment Volume Conductor with Complete Electrode Model: Simulated Stereo-EEG Source Localization using Brainstorm-Zeffiro Plugin

Fernando Galaz Prieto, Takfarinas Medani, Chinmay Chinara +2

This study introduces a novel integration of the Brainstorm (BST) software and the Zeffiro Interface (ZI) to enable whole-head, multi-compartment volume conductor modeling for elec…

math.NA2025

Tracking EEG Thalamic and Cortical Focal Brain Activity using Standardized Kalman Filtering with Kinematics Modeling

Veikka Piispa, Dilshanie Prasikala, Joonas Lahtinen +2

Kalman filtering has proven to be effective for estimating brain activity using EEG recordings. In particular, the introduced post hoc standardization step of the algorithm, inspir…

math.NA2025

The Effect of Prior Parameters on Standardized Kalman Filter-Based EEG Source Localization

Dilshanie Prasikala, Joonas Lahtinen, Alexandra Koulouri +1

EEG Source localization is a critical tool in neuroscience, with applications ranging from epilepsy diagnosis to cognitive research. It involves solving an ill-posed inverse proble…

math.NA2025

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…