Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Goldhacker, Markus"'
Publikováno v:
In Journal of Dentistry June 2024 145
Independent component analysis (ICA), as a data driven method, has shown to be a powerful tool for functional magnetic resonance imaging (fMRI) data analysis. One drawback of this multivariate approach is, that it is not compatible to the analysis of
Externí odkaz:
http://arxiv.org/abs/1903.09412
Investigating temporal variability of functional connectivity is an emerging field in connectomics. Entering dynamic functional connectivity by applying sliding window techniques on resting-state fMRI (rs-fMRI) time courses emerged from this topic. W
Externí odkaz:
http://arxiv.org/abs/1511.00964
Publikováno v:
Frontiers in Artificial Intelligence; 2024, p1-15, 15p
Akademický článek
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Autor:
Wein, Simon, Deco, Gustavo, Tomé, Ana Maria, Goldhacker, Markus, Malloni, Wilhelm M., Greenlee, Mark W., Lang, Elmar W.
Publikováno v:
Computational Intelligence and Neuroscience.
This short survey reviews the recent literature on the relationship between the brain structure and its functional dynamics. Imaging techniques such as diffusion tensor imaging (DTI) make it possible to reconstruct axonal fiber tracks and describe th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=hindawi_publ::0e33c5f4ac646ba100477c059da054b3
Publikováno v:
Frontiers in Neuroscience
Independent component analysis (ICA), being a data-driven method, has been shown to be a powerful tool for functional magnetic resonance imaging (fMRI) data analysis. One drawback of this multivariate approach is that it is not, in general, compatibl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3b43a51ba104c1dbba48ba9ee73b65a
Publikováno v:
Frontiers in Human Neuroscience. 12
Investigating temporal variability of functional connectivity is an emerging field in connectomics. Entering dynamic functional connectivity by applying sliding window techniques on resting-state fMRI (rs-fMRI) time courses emerged from this topic. W
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b92659c7b86d3c92b795b21a5bc06e8d
Autor:
Ott, Christian, Rosengarth, Katharina, Doenitz, Christian, Hoehne, Julius, Wendl, Christina, Dodoo-Schittko, Frank, Lang, Elmar W., Schmidt, Nils Ole, Goldhacker, Markus
Publikováno v:
Journal of Personalized Medicine
Brain and Spine, Vol 1, Iss, Pp 100523-(2021)
Journal of Personalized Medicine; Volume 11; Issue 12; Pages: 1342
69. Jahrestagung der Deutschen Gesellschaft für Neurochirurgie (DGNC), Joint Meeting mit der Mexikanischen und Kolumbianischen Gesellschaft für Neurochirurgie; 20180603-20180606; Münster; DOCV290 /20180618/
Journal of Personalized Medicine, Vol 11, Iss 1342, p 1342 (2021)
Brain and Spine, Vol 1, Iss, Pp 100523-(2021)
Journal of Personalized Medicine; Volume 11; Issue 12; Pages: 1342
69. Jahrestagung der Deutschen Gesellschaft für Neurochirurgie (DGNC), Joint Meeting mit der Mexikanischen und Kolumbianischen Gesellschaft für Neurochirurgie; 20180603-20180606; Münster; DOCV290 /20180618/
Journal of Personalized Medicine, Vol 11, Iss 1342, p 1342 (2021)
Objective: Brain lesions in language-related cortical areas remain a challenge in clinical routine. In recent years, resting-state functional magnetic resonance imaging (rs-fMRI) has been shown to be a feasible method for preoperative language assess
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08f031cc5890cc1fb546cabbc7493073
Autor:
Ott, Christian, Goldhacker, Markus, Rosengarth, Katharina, Höhne, Julius, Lang, Elmar, Greenlee, Mark, Brawanski, Alexander
Publikováno v:
68. Jahrestagung der Deutschen Gesellschaft für Neurochirurgie (DGNC), 7. Joint Meeting mit der Society of British Neurological Surgeons (SBNS); 20170514-20170517; Magdeburg; DOCMi.23.02 /20170609/
Objective: In contrast to the task-based-fMRI there is no need for an active participation of the patient in resting-state fMRI (rs-fMRI). The major question of our study is, whether it is possible to identify language related areas in patients suffe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a22f26c5ae86bf95f17678ddcaf55a1b