Joonas Lahtinen
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Explore the profile of Joonas Lahtinen including associated specialties, affiliations and a list of published articles.
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6
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3
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Recent Articles
1.
Lahtinen J, Ronni P, Subramaniyam N, Koulouri A, Wolters C, Pursiainen S
Clin Neurophysiol
. 2024 Oct;
168:15-24.
PMID: 39423516
Objective: We introduce standardized Kalman filtering (SKF) as a new spatiotemporal method for tracking brain activity. Via the Kalman filtering scheme, the computational workload is low, and by spatiotemporal standardization,...
2.
Lahtinen J, Koulouri A, Rampp S, Wellmer J, Wolters C, Pursiainen S
Clin Neurophysiol
. 2024 Jan;
159:24-40.
PMID: 38244372
Objective: To investigate the ability of standardization to reduce source localization errors and measurement noise uncertainties for hierarchical Bayesian algorithms with L1- and L2-norms as priors in electroencephalography and magnetoencephalography...
3.
Samavaki M, Oluwatoki Yusuf Y, Nia A, Soderholm S, Lahtinen J, Galaz Prieto F, et al.
Comput Methods Programs Biomed
. 2023 Oct;
242:107844.
PMID: 37852144
Background And Objective: This study considers dynamic modeling of the cerebral arterial circulation and reconstructing an atlas for the electrical conductivity of the brain. Electrical conductivity is a governing parameter...
4.
Galaz Prieto F, Lahtinen J, Samavaki M, Pursiainen S
PLoS One
. 2023 Sep;
18(9):e0290715.
PMID: 37729152
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...
5.
Lahtinen J, Moura F, Samavaki M, Siltanen S, Pursiainen S
J Neural Eng
. 2023 Feb;
20(2).
PMID: 36808911
This study focuses on the effects of dynamical vascular modeling on source localization errors in electroencephalography (EEG). Our aim of thisstudy is to (a) find out the effects of cerebral...
6.
Rezaei A, Lahtinen J, Neugebauer F, Antonakakis M, Piastra M, Koulouri A, et al.
Neuroimage
. 2021 Nov;
245:118726.
PMID: 34838947
This study concerns reconstructing brain activity at various depths based on non-invasive EEG (electroencephalography) scalp measurements. We aimed at demonstrating the potential of the RAMUS (randomized multiresolution scanning) technique in...