Výsledky vyhledávání - "Maryam Samavaki"

Akademický článek

Lattice layout and optimizer effect analysis for generating optimal transcranial electrical stimulation (tES) montages through the metaheuristic L1L1 method

Autor: Fernando Galaz Prieto, Maryam Samavaki, Sampsa Pursiainen

Publikováno v: Frontiers in Human Neuroscience, Vol 18 (2024)

IntroductionThis study focuses on broadening the applicability of the metaheuristic L1-norm fitted and penalized (L1L1) optimization method in finding a current pattern for multichannel transcranial electrical stimulation (tES). The metaheuristic L1L

Externí odkaz: https://doaj.org/article/f159c25025fe4d0eadf136d35f9dcc80

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Akademický článek

Multi-compartment head modeling in EEG: Unstructured boundary-fitted tetra meshing with subcortical structures.

Autor: Fernando Galaz Prieto, Joonas Lahtinen, Maryam Samavaki, Sampsa Pursiainen

Publikováno v: PLoS ONE, Vol 18, Iss 9, p e0290715 (2023)

This paper introduces an automated approach for generating a finite element (FE) discretization of a multi-compartment human head model for electroencephalographic (EEG) source localization. We aim to provide an adaptable FE mesh generation tool for

Externí odkaz: https://doaj.org/article/2fc9700ed47e47b5820db67323f0ad60

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In silico study of the effects of cerebral circulation on source localization using a dynamical anatomical atlas of the human head

Autor: Joonas Lahtinen, Fernando Moura, Maryam Samavaki, Samuli Siltanen, Sampsa Pursiainen

Objective. This study focuses on the effects of dynamical vascular modeling on source localization errors in electroencephalography (EEG). Our aim of this in silico study is to (a) find out the effects of cerebral circulation on the accuracy of EEG s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2dfa9546f8b572c2fb34966a8f897a57

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Highly Adaptive and Fast Tetrahedral Mesh Generator for Multi-Compartment Human Head Model with Deep Brain Structures with EEG Application

Autor: Fernando Galaz Prieto, Joonas Lahtinen, Yusuf Oluwatoki Yusuf, Atena Rezaei, Maryam Samavaki, Sampsa Pursiainen

Purpose: This paper introduces a highly adaptive and fast approach for generating a finite element (FE) discretization mesh for a given multi-compartment human head model obtained through a magnetic resonance imaging (MRI) dataset. The goal is to cre

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1223a602628a507bc28bc080a712b5f3
https://doi.org/10.21203/rs.3.rs-2183936/v1

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L1-norm vs. L2-norm fitting in optimizing focal multi-channel tES stimulation: linear and semidefinite programming vs. weighted least squares

Autor: Fernando Galaz Prieto, Atena Rezaei, Maryam Samavaki, Sampsa Pursiainen

Background and Objective: 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. We introduce a mathematical formulation fo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68b5ead9a8b3b7fea091c073a3d9a357
http://arxiv.org/abs/2206.01660

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