Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Kyesam Jung"'
Autor:
Leonard Sasse, Daouia I. Larabi, Amir Omidvarnia, Kyesam Jung, Felix Hoffstaedter, Gerhard Jocham, Simon B. Eickhoff, Kaustubh R. Patil
Publikováno v:
Communications Biology, Vol 6, Iss 1, Pp 1-14 (2023)
Abstract Functional connectivity (FC) refers to the statistical dependencies between activity of distinct brain areas. To study temporal fluctuations in FC within the duration of a functional magnetic resonance imaging (fMRI) scanning session, resear
Externí odkaz:
https://doaj.org/article/93285d8c71ac4e9aa3df4ab49724a20a
Publikováno v:
Network Neuroscience, Vol 5, Iss 3, Pp 798-830 (2021)
AbstractRecent developments of whole-brain models have demonstrated their potential when investigating resting-state brain activity. However, it has not been systematically investigated how alternating derivations of the empirical structural and func
Externí odkaz:
https://doaj.org/article/1e28f58fc4c04733b70b5365db31aa84
Autor:
Oleksandr V. Popovych, Kyesam Jung, Thanos Manos, Sandra Diaz-Pier, Felix Hoffstaedter, Jan Schreiber, B.T. Thomas Yeo, Simon B. Eickhoff
Publikováno v:
NeuroImage, Vol 236, Iss , Pp 118201- (2021)
Modern approaches to investigate complex brain dynamics suggest to represent the brain as a functional network of brain regions defined by a brain atlas, while edges represent the structural or functional connectivity among them. This approach is als
Externí odkaz:
https://doaj.org/article/94927ba5b6ac440fa4fd3d4a0a3b8bbf
Publikováno v:
NeuroImage, Vol 237, Iss , Pp 118176- (2021)
Dynamical modeling of the resting-state brain dynamics essentially relies on the empirical neuroimaging data utilized for the model derivation and validation. There is however still no standardized data processing for magnetic resonance imaging pipel
Externí odkaz:
https://doaj.org/article/1222d9e39bc2427f857a0cc94883f5a4
Publikováno v:
NeuroImage, Vol 213, Iss , Pp 116755- (2020)
The aim of this paper is to present a dynamic causal modeling (DCM) framework for hippocampal activity measured via voltage-sensitive dye imaging (VSDI). We propose a DCM model of the hippocampus that summarizes interactions between the hilus, CA3 an
Externí odkaz:
https://doaj.org/article/0bfefda4fff44516b625f823672efd0a
Publikováno v:
i-Perception, Vol 3 (2012)
Visually guided saccadic responses are thought to involve multiple stages of processing in diverse brain structures including the primary visual cortex (V1). The variability of neural activity in each of these structures may present ambiguities for d
Externí odkaz:
https://doaj.org/article/67b0aa7213cb4110966b5ac5b5433b62
Autor:
Kyesam Jung, Esther Florin, Kaustubh R Patil, Julian Caspers, Christian Rubbert, Simon B Eickhoff, Oleksandr V Popovych
Publikováno v:
Brain communications 5(1), fcac331 (2023). doi:10.1093/braincomms/fcac331
Brain communications 5(1), fcac331 (2023). doi:10.1093/braincomms/fcac331
Simulated whole-brain connectomes demonstrate enhanced inter-individual variability depending on the data processing and modelling approach. By considering the human brain
Simulated whole-brain connectomes demonstrate enhanced inter-individual variability depending on the data processing and modelling approach. By considering the human brain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eee5afb5146f43f7d270ace2642409f5
https://juser.fz-juelich.de/record/916631
https://juser.fz-juelich.de/record/916631
Autor:
Leonard Sasse, Daouia I. Larabi, Amir Omidvarnia, Kyesam Jung, Felix Hoffstaedter, Gerhard Jocham, Simon B. Eickhoff, Kaustubh R. Patil
Publikováno v:
INM & IBI Retreat 2022 "Molecular neuroscience meets brain function", Jülich, Germany, 2022-10-18-2022-10-19
bioRxiv (2022). doi:10.1101/2022.09.30.510304
bioRxiv (2022). doi:10.1101/2022.09.30.510304
Functional connectivity (FC) refers to the statistical dependencies between activity of distinct brain areas. To study temporal fluctuations in FC within the duration of a functional magnetic resonance imaging (fMRI) scanning session, researchers hav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::039b1882498e97d5e12d41d417d62afc
https://juser.fz-juelich.de/record/910416
https://juser.fz-juelich.de/record/910416
Autor:
Kyesam Jung, Esther Florin, Kaustubh R. Patil, Julian Caspers, Christian Rubbert, Simon B. Eickhoff, Oleksandr V. Popovych
Publikováno v:
INM & IBI Retreat 2022 "Molecular neuroscience meets brain function", Jülich, Germany, 2022-10-18-2022-10-19
Simulated whole-brain connectomes demonstrate an enhanced inter-individual variability depending on data processing and modeling approach. By considering the human brain connectome as an individualized attribute, we investigate how empirical and simu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5dceafd883bd9d518243e6ecc5b39eb1
https://hdl.handle.net/2128/32358
https://hdl.handle.net/2128/32358
Publikováno v:
J Digit Imaging
Multimodal magnetic resonance imaging (MRI) has emerged as a promising tool for diagnosing ischemic stroke and for determining treatment strategies in the acute phase. The detection and quantification of the penumbra and the infarct core regions aid