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Your search keyword '"Kronnerwetter, Claudia"' showing total 23 results
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23 results on '"Kronnerwetter, Claudia"'

3. Human CLP1 Mutations Alter tRNA Biogenesis, Affecting Both Peripheral and Central Nervous System Function

Author

Karaca, Ender, Weitzer, Stefan, Pehlivan, Davut, Shiraishi, Hiroshi, Gogakos, Tasos, Hanada, Toshikatsu, Jhangiani, Shalini N., Wiszniewski, Wojciech, Withers, Marjorie, Campbell, Ian M., Erdin, Serkan, Isikay, Sedat, Franco, Luis M., Gonzaga-Jauregui, Claudia, Gambin, Tomasz, Gelowani, Violet, Hunter, Jill V., Yesil, Gozde, Koparir, Erkan, Yilmaz, Sarenur, Brown, Miguel, Briskin, Daniel, Hafner, Markus, Morozov, Pavel, Farazi, Thalia A., Bernreuther, Christian, Glatzel, Markus, Trattnig, Siegfried, Friske, Joachim, Kronnerwetter, Claudia, Bainbridge, Matthew N., Gezdirici, Alper, Seven, Mehmet, Muzny, Donna M., Boerwinkle, Eric, Ozen, Mustafa, Clausen, Tim, Tuschl, Thomas, Yuksel, Adnan, Hess, Andreas, Gibbs, Richard A., Martinez, Javier, Penninger, Josef M., and Lupski, James R.

Published
2014
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10. Long-term evolution of multiple sclerosis iron rim lesions in 7 T MRI

Author

Dal-Bianco, Assunta, primary, Grabner, Günther, additional, Kronnerwetter, Claudia, additional, Weber, Michael, additional, Kornek, Barbara, additional, Kasprian, Gregor, additional, Berger, Thomas, additional, Leutmezer, Fritz, additional, Rommer, Paulus Stefan, additional, Trattnig, Siegfried, additional, Lassmann, Hans, additional, and Hametner, Simon, additional

Published
2021
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12. Slow expansion of multiple sclerosis iron rim lesions: pathology and 7 T magnetic resonance imaging

Author

Dal-Bianco, Assunta, primary, Grabner, Günther, additional, Kronnerwetter, Claudia, additional, Weber, Michael, additional, Höftberger, Romana, additional, Berger, Thomas, additional, Auff, Eduard, additional, Leutmezer, Fritz, additional, Trattnig, Siegfried, additional, Lassmann, Hans, additional, Bagnato, Francesca, additional, and Hametner, Simon, additional

Published
2016
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14. Beyond Noise: Using Temporal ICA to Extract Meaningful Information from High-Frequency fMRI Signal Fluctuations during Rest

Author

Boubela, Roland N., Kalcher, Klaudius, Huf, Wolfgang, Kronnerwetter, Claudia, Filzmoser, Peter, and Moser, Ewald

Subjects
temporal ICA, heart rate variability, resting-state networks, resting-state fMRI, Neuroscience, Original Research
Abstract

Analysis of resting-state networks using fMRI usually ignores high-frequency fluctuations in the BOLD signal – be it because of low TR prohibiting the analysis of fluctuations with frequencies higher than 0.25 Hz (for a typical TR of 2 s), or because of the application of a bandpass filter (commonly restricting the signal to frequencies lower than 0.1 Hz). While the standard model of convolving neuronal activity with a hemodynamic response function suggests that the signal of interest in fMRI is characterized by slow fluctuation, it is in fact unclear whether the high-frequency dynamics of the signal consists of noise only. In this study, 10 subjects were scanned at 3 T during 6 min of rest using a multiband EPI sequence with a TR of 354 ms to critically sample fluctuations of up to 1.4 Hz. Preprocessed data were high-pass filtered to include only frequencies above 0.25 Hz, and voxelwise whole-brain temporal ICA (tICA) was used to identify consistent high-frequency signals. The resulting components include physiological background signal sources, most notably pulsation and heart-beat components, that can be specifically identified and localized with the method presented here. Perhaps more surprisingly, common resting-state networks like the default-mode network also emerge as separate tICA components. This means that high-frequency oscillations sampled with a rather T1-weighted contrast still contain specific information on these resting-state networks to consistently identify them, not consistent with the commonly held view that these networks operate on low-frequency fluctuations alone. Consequently, the use of bandpass filters in resting-state data analysis should be reconsidered, since this step eliminates potentially relevant information. Instead, more specific methods for the elimination of physiological background signals, for example by regression of physiological noise components, might prove to be viable alternatives.

Published
2013

15. Clinical comparison between 3 Tesla 2D FLAIR and 7 Tesla 3D FLAIR in the identification of MS-plaques

Author

Kronnerwetter, Claudia

Subjects
Head and neck, Tissue characterisation, MR, Imaging sequences
Abstract

Purpose Methods and Materials Results Conclusion References Personal Information, Purpose: To assess the diagnostic potential of a new isotropic 3D FLAIR sequence at 7 Tesla in patients with multiple sclerosis (MS) in comparison to the standard 2D FLAIR sequence at 3...

Published
2011
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21. Susceptibility-weighted imaging at 7T: Improved diagnosis of cerebral cavernous malformations and associated developmental venous anomalies

Author

Frischer, Josa M., primary, Göd, Sabine, additional, Gruber, Andreas, additional, Saringer, Walter, additional, Grabner, Günther, additional, Gatterbauer, Brigitte, additional, Kitz, Klaus, additional, Holzer, Sabrina, additional, Kronnerwetter, Claudia, additional, Hainfellner, Johannes A., additional, Knosp, Engelbert, additional, and Trattnig, Siegfried, additional

Published
2012
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23. Susceptibility-weighted imaging at 7 T: Improved diagnosis of cerebral cavernous malformations and associated developmental venous anomalies.

Author

Frischer JM, Göd S, Gruber A, Saringer W, Grabner G, Gatterbauer B, Kitz K, Holzer S, Kronnerwetter C, Hainfellner JA, Knosp E, and Trattnig S

Abstract

Background and Aim: In the diagnosis of cerebral cavernous malformations (CCMs) magnetic resonance imaging is established as the gold standard. Conventional MRI techniques have their drawbacks in the diagnosis of CCMs and associated venous malformations (DVAs). The aim of our study was to evaluate susceptibility weighted imaging SWI for the detection of CCM and associated DVAs at 7 T in comparison with 3 T., Patients and Methods: 24 patients (14 female, 10 male; median age: 38.3 y (21.1 y-69.1 y) were included in the study. Patients enrolled in the study received a 3 T and a 7 T MRI on the same day. The following sequences were applied on both field strengths: a T1 weighted 3D GRE sequence (MP-RAGE) and a SWI sequence. After obtaining the study MRIs, eleven patients underwent surgery and 13 patients were followed conservatively or were treated radio-surgically., Results: Patients initially presented with haemorrhage (n = 4, 16.7%), seizures (n = 2, 8.3%) or other neurology (n = 18, 75.0%). For surgical resected lesions histopathological findings verified the diagnosis of CCMs. A significantly higher number of CCMs was diagnosed at 7 T SWI sequences compared with 3 T SWI (p < 0.05). Additionally diagnosed lesions on 7 T MRI were significantly smaller compared to the initial lesions on 3 T MRIs (p < 0.001). Further, more associated DVAs were diagnosed at 7 T MRI compared to 3 T MRI., Conclusion: SWI sequences at ultra-high-field MRI improve the diagnosis of CCMs and associated DVAs and therefore add important pre-operative information.

Published
2012
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