Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Atena, Rezaei"'
Autor:
Atena Rezaei, Joonas Lahtinen, Frank Neugebauer, Marios Antonakakis, Maria Carla Piastra, Alexandra Koulouri, Carsten H. Wolters, Sampsa Pursiainen
Publikováno v:
NeuroImage, Vol 245, Iss , Pp 118726- (2021)
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 localiz
Externí odkaz:
https://doaj.org/article/6a1c0dc514314004bbf857cb4b39b5b1
Publikováno v:
مجله پژوهش در علوم توانبخشی, Vol 13, Iss 6, Pp 326-333 (2018)
Introduction: Development of social skills is one of the achievements of childhood that predicts students’ social behaviors, future academic achievement, and future career prospects. This study was conducted to evaluate the effect of social skills
Externí odkaz:
https://doaj.org/article/d5cc7e0a3ef14016b15a5cc71aadfbfb
Publikováno v:
Brain Sciences, Vol 10, Iss 12, p 934 (2020)
In this article, we focused on developing the conditionally Gaussian hierarchical Bayesian model (CG-HBM), which forms a superclass of several inversion methods for source localization of brain activity using somatosensory evoked potential (SEP) and
Externí odkaz:
https://doaj.org/article/72eadc540c1845899b8b6563ac85905f
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
https://doi.org/10.21203/rs.3.rs-2183936/v1
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
http://arxiv.org/abs/2206.01660
Autor:
Christian Engwer, Tuuli Miinalainen, Andreas Nüßing, Carsten H. Wolters, Sampsa Pursiainen, Defne Us, Atena Rezaei
Publikováno v:
NeuroImage. 184:56-67
The aim of this paper is to advance electroencephalography (EEG) source analysis using finite element method (FEM) head volume conductor models that go beyond the standard three compartment (skin, skull, brain) approach and take brain tissue inhomoge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5d526f772abd7d70fde71873bb5bb754
https://doi.org/10.1016/j.neuroimage.2018.08.054
https://doi.org/10.1016/j.neuroimage.2018.08.054
Autor:
Carsten H. Wolters, Maria Carla Piastra, Sampsa Pursiainen, Marios Antonakakis, Joonas Lahtinen, Atena Rezaei, Alexandra Koulouri, Frank Neugebauer
Publikováno v:
NeuroImage, Vol 245, Iss, Pp 118726-(2021)
NeuroImage, 245, 1-15
NeuroImage, 245, pp. 1-15
NeuroImage, 245, 1-15
NeuroImage, 245, pp. 1-15
Summarization: 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) techn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8552b9bf23d38294e87b9755a10276be
https://doi.org/10.1016/j.neuroimage.2021.118726
https://doi.org/10.1016/j.neuroimage.2021.118726
In this paper, we focus on the inverse problem of reconstructing distributional brain activity with cortical and weakly detectable deep components in non-invasive Electroencephalography. In particular, we aim to generalize the previously extensively
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d22d6c3e3d3d693582c4c8fd29ee24de
Publikováno v:
Brain Topography
We focus on electromagnetoencephalography imaging of the neural activity and, in particular, finding a robust estimate for the primary current distribution via the hierarchical Bayesian model (HBM). Our aim is to develop a reasonably fast maximum a p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::07b68fb79e205fe1e116cd9344b41cee
http://arxiv.org/abs/2002.04272
http://arxiv.org/abs/2002.04272
Autor:
Ville, Koljonen, Olli, Koskela, Toni, Montonen, Atena, Rezaei, Birhanu, Belay, Edite, Figueiras, Jari, Hyttinen, Sampsa, Pursiainen
Publikováno v:
Physics in medicine and biology. 64(4)
Solving the fluorophore distribution in a tomographic setting has been difficult because of the lack of physically meaningful and computationally applicable propagation models. This study concentrates on the direct modelling of fluorescence signals i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::50622d9711f1e8ae68f30d89cc8cfb0f
https://pubmed.ncbi.nlm.nih.gov/30630144
https://pubmed.ncbi.nlm.nih.gov/30630144