Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Ewald eMoser"'
Publikováno v:
Frontiers in Neuroscience, Vol 9 (2016)
Technologies for scalable analysis of very large datasets have emerged in the domain of internet computing, but are still only rarely used in neuroimaging despite the existence of data and research questions in need of efficient computation tools esp
Externí odkaz:
https://doaj.org/article/787ffd8fc28245e7a20251978b209600
Publikováno v:
Frontiers in Neuroscience, Vol 9 (2015)
Identifying venous voxels in fMRI datasets is important to increase the specificity of fMRI analyses to microvasculature in the vicinity of the neural processes triggering the BOLD response. This is, however, difficult to achieve in particular in typ
Externí odkaz:
https://doaj.org/article/55d09ae3e8af4262bd37dc12d26a142d
Autor:
Mikhail eVotinov, Jürgen ePripfl, Christian eWindischberger, Ewald eMoser, Uta eSailer, Claus eLamm
Publikováno v:
Frontiers in Behavioral Neuroscience, Vol 9 (2015)
Whether the opioid system plays a role in the ability to flexibly adapt behavior is still unclear. We used fMRI to investigate the effect of a nucleotide tandem repeat (68-bp VNTR) functional polymorphism of the prodynorphin gene on cerebral activati
Externí odkaz:
https://doaj.org/article/a1126bd78fd4492a98b4e61774fbadac
Autor:
Wolfgang eHuf, Klaudius eKalcher, Roland N Boubela, Georg eRath, Andreas eVecsei, Peter eFilzmoser, Ewald eMoser
Publikováno v:
Frontiers in Human Neuroscience, Vol 8 (2014)
Machine learning classifiers have become increasingly popular tools to generate single-subject inferences from fMRI data. With this transition from the traditional group level difference investigations to single-subject inference, the application of
Externí odkaz:
https://doaj.org/article/ab69a76b8e394e4a9242d557cc75ee3a
Publikováno v:
Frontiers in Physics, Vol 2 (2014)
Functional MRI at 3T has become a workhorse for the neurosciences, e.g., neurology, psychology, and psychiatry, enabling non-invasive investigation of brain function and connectivity. However, BOLD-based fMRI is a rather indirect measure of brain fun
Externí odkaz:
https://doaj.org/article/1807b185f09d4af78be13f78a9cb705c
Publikováno v:
Frontiers in Physics, Vol 1 (2013)
Externí odkaz:
https://doaj.org/article/837dd242ed87441080c3e16bb4b9d87f
Autor:
Roland Norbert Boubela, Klaudius eKalcher, Wolfgang eHuf, Claudia eKronnerwetter, Peter eFilzmoser, Ewald eMoser
Publikováno v:
Frontiers in Human Neuroscience, Vol 7 (2013)
Analysis of resting-state networks using fMRI usually ignores high-frequencyfluctuations in the BOLD signal – be it because of low TR prohibiting the analysis offluctuations with frequencies higher than 0.25 Hz (for a typical TR of 2 s), or because
Externí odkaz:
https://doaj.org/article/9863a17a95f94077b47c9281dc62f3f5
Autor:
Veronika eSchöpf, Florian Ph.S Fischmeister, Christian eWindischberger, Florian eGerstl, Michael eWolzt, Karl eKarlsson, Ewald eMoser
Publikováno v:
Frontiers in Human Neuroscience, Vol 7 (2013)
This study aimed to directly assess the effect of changes in blood glucose levels on the psychological processing of emotionally charged material. We used functional magnetic resonance imaging (fMRI) to evaluate the effect of blood glucose levels on
Externí odkaz:
https://doaj.org/article/2a02cd0fd1f7449c9bd42a958c3be6d7
Fully Exploratory Network Independent Component Analysis of the 1000 Functional Connectomes Database
Autor:
Klaudius eKalcher, Wolfgang eHuf, Roland Norbert Boubela, Peter eFilzmoser, Lukas ePezawas, Bharat B. Biswal, Siegfried eKasper, Ewald eMoser, Christian eWindischberger
Publikováno v:
Frontiers in Human Neuroscience, Vol 6 (2012)
The 1000 Functional Connectomes Project is a collection of resting-state fMRI datasets from more than 1,000 subjects acquired in more than 30 independent studies from around the globe. This large, heterogeneous sample of resting-state data offers the
Externí odkaz:
https://doaj.org/article/3ab246f1b15e4b108480b9f330f15f74