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131 results on '"Fillmer, Ariane"'

1. Quantitative MR Image Reconstruction using Parameter-Specific Dictionary Learning with Adaptive Dictionary-Size and Sparsity-Level Choice

Author: Kofler, Andreas, Kerkering, Kirsten Miriam, Göschel, Laura, Fillmer, Ariane, and Kolbitsch, Cristoph
Subjects: Electrical Engineering and Systems Science - Image and Video Processing, Electrical Engineering and Systems Science - Signal Processing, Physics - Medical Physics
Abstract: Objective: We propose a method for the reconstruction of parameter-maps in Quantitative Magnetic Resonance Imaging (QMRI). Methods: Because different quantitative parameter-maps differ from each other in terms of local features, we propose a method where the employed dictionary learning (DL) and sparse coding (SC) algorithms automatically estimate the optimal dictionary-size and sparsity level separately for each parameter-map. We evaluated the method on a $T_1$-mapping QMRI problem in the brain using the BrainWeb data as well as in-vivo brain images acquired on an ultra-high field 7T scanner. We compared it to a model-based acceleration for parameter mapping (MAP) approach, other sparsity-based methods using total variation (TV), Wavelets (Wl) and Shearlets (Sh), and to a method which uses DL and SC to reconstruct qualitative images, followed by a non-linear (DL+Fit). Results: Our algorithm surpasses MAP, TV, Wl and Sh in terms of RMSE and PSNR. It yields better or comparable results to DL+Fit by additionally significantly accelerating the reconstruction by a factor of approximately seven. Conclusion: The proposed method outperforms the reported methods of comparison and yields accurate $T_1$-maps. Although presented for $T_1$-mapping in the brain, our method's structure is general and thus most probably also applicable for the the reconstruction of other quantitative parameters in other organs. Significance: From a clinical perspective, the obtained $T_1$-maps could be utilized to differentiate between healthy subjects and patients with Alzheimer's disease. From a technical perspective, the proposed unsupervised method could be employed to obtain ground-truth data for the development of data-driven methods based on supervised learning.+, Comment: Accepted for publication in IEEE Transactions on Biomedical Engineering, see https://ieeexplore.ieee.org/document/10209588
Published: 2023
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2. Frequency drift in MR spectroscopy at 3T.

Author: Hui, Steve CN, Mikkelsen, Mark, Zöllner, Helge J, Ahluwalia, Vishwadeep, Alcauter, Sarael, Baltusis, Laima, Barany, Deborah A, Barlow, Laura R, Becker, Robert, Berman, Jeffrey I, Berrington, Adam, Bhattacharyya, Pallab K, Blicher, Jakob Udby, Bogner, Wolfgang, Brown, Mark S, Calhoun, Vince D, Castillo, Ryan, Cecil, Kim M, Choi, Yeo Bi, Chu, Winnie CW, Clarke, William T, Craven, Alexander R, Cuypers, Koen, Dacko, Michael, de la Fuente-Sandoval, Camilo, Desmond, Patricia, Domagalik, Aleksandra, Dumont, Julien, Duncan, Niall W, Dydak, Ulrike, Dyke, Katherine, Edmondson, David A, Ende, Gabriele, Ersland, Lars, Evans, C John, Fermin, Alan SR, Ferretti, Antonio, Fillmer, Ariane, Gong, Tao, Greenhouse, Ian, Grist, James T, Gu, Meng, Harris, Ashley D, Hat, Katarzyna, Heba, Stefanie, Heckova, Eva, Hegarty, John P, Heise, Kirstin-Friederike, Honda, Shiori, Jacobson, Aaron, Jansen, Jacobus FA, Jenkins, Christopher W, Johnston, Stephen J, Juchem, Christoph, Kangarlu, Alayar, Kerr, Adam B, Landheer, Karl, Lange, Thomas, Lee, Phil, Levendovszky, Swati Rane, Limperopoulos, Catherine, Liu, Feng, Lloyd, William, Lythgoe, David J, Machizawa, Maro G, MacMillan, Erin L, Maddock, Richard J, Manzhurtsev, Andrei V, Martinez-Gudino, María L, Miller, Jack J, Mirzakhanian, Heline, Moreno-Ortega, Marta, Mullins, Paul G, Nakajima, Shinichiro, Near, Jamie, Noeske, Ralph, Nordhøy, Wibeke, Oeltzschner, Georg, Osorio-Duran, Raul, Otaduy, Maria CG, Pasaye, Erick H, Peeters, Ronald, Peltier, Scott J, Pilatus, Ulrich, Polomac, Nenad, Porges, Eric C, Pradhan, Subechhya, Prisciandaro, James Joseph, Puts, Nicolaas A, Rae, Caroline D, Reyes-Madrigal, Francisco, Roberts, Timothy PL, Robertson, Caroline E, Rosenberg, Jens T, Rotaru, Diana-Georgiana, O'Gorman Tuura, Ruth L, Saleh, Muhammad G, Sandberg, Kristian, Sangill, Ryan, and Schembri, Keith
Subjects: 3T, Frequency drift, Magnetic resonance spectroscopy, Multi-site, Multi-vendor, Press, Brain, Data Analysis, Databases, Factual, Humans, Magnetic Resonance Imaging, Magnetic Resonance Spectroscopy, Clinical Research, Biomedical Imaging, Neurology & Neurosurgery, Medical and Health Sciences, Psychology and Cognitive Sciences
Abstract: PurposeHeating of gradient coils and passive shim components is a common cause of instability in the B0 field, especially when gradient intensive sequences are used. The aim of the study was to set a benchmark for typical drift encountered during MR spectroscopy (MRS) to assess the need for real-time field-frequency locking on MRI scanners by comparing field drift data from a large number of sites.MethodA standardized protocol was developed for 80 participating sites using 99 3T MR scanners from 3 major vendors. Phantom water signals were acquired before and after an EPI sequence. The protocol consisted of: minimal preparatory imaging; a short pre-fMRI PRESS; a ten-minute fMRI acquisition; and a long post-fMRI PRESS acquisition. Both pre- and post-fMRI PRESS were non-water suppressed. Real-time frequency stabilization/adjustment was switched off when appropriate. Sixty scanners repeated the protocol for a second dataset. In addition, a three-hour post-fMRI MRS acquisition was performed at one site to observe change of gradient temperature and drift rate. Spectral analysis was performed using MATLAB. Frequency drift in pre-fMRI PRESS data were compared with the first 5:20 minutes and the full 30:00 minutes of data after fMRI. Median (interquartile range) drifts were measured and showed in violin plot. Paired t-tests were performed to compare frequency drift pre- and post-fMRI. A simulated in vivo spectrum was generated using FID-A to visualize the effect of the observed frequency drifts. The simulated spectrum was convolved with the frequency trace for the most extreme cases. Impacts of frequency drifts on NAA and GABA were also simulated as a function of linear drift. Data from the repeated protocol were compared with the corresponding first dataset using Pearson's and intraclass correlation coefficients (ICC).ResultsOf the data collected from 99 scanners, 4 were excluded due to various reasons. Thus, data from 95 scanners were ultimately analyzed. For the first 5:20 min (64 transients), median (interquartile range) drift was 0.44 (1.29) Hz before fMRI and 0.83 (1.29) Hz after. This increased to 3.15 (4.02) Hz for the full 30 min (360 transients) run. Average drift rates were 0.29 Hz/min before fMRI and 0.43 Hz/min after. Paired t-tests indicated that drift increased after fMRI, as expected (p < 0.05). Simulated spectra convolved with the frequency drift showed that the intensity of the NAA singlet was reduced by up to 26%, 44 % and 18% for GE, Philips and Siemens scanners after fMRI, respectively. ICCs indicated good agreement between datasets acquired on separate days. The single site long acquisition showed drift rate was reduced to 0.03 Hz/min approximately three hours after fMRI.DiscussionThis study analyzed frequency drift data from 95 3T MRI scanners. Median levels of drift were relatively low (5-min average under 1 Hz), but the most extreme cases suffered from higher levels of drift. The extent of drift varied across scanners which both linear and nonlinear drifts were observed.
Published: 2021

3. 7T amygdala and hippocampus subfields in volumetry-based associations with memory: A 3-year follow-up study of early Alzheimer’s disease

Author: Göschel, Laura, Kurz, Lea, Dell'Orco, Andrea, Köbe, Theresa, Körtvélyessy, Peter, Fillmer, Ariane, Aydin, Semiha, Riemann, Layla Tabea, Wang, Hui, Ittermann, Bernd, Grittner, Ulrike, and Flöel, Agnes
Published: 2023
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4. Frequency drift in MR spectroscopy at 3T

Author: Hui, Steve C.N., Mikkelsen, Mark, Zöllner, Helge J., Ahluwalia, Vishwadeep, Alcauter, Sarael, Baltusis, Laima, Barany, Deborah A., Barlow, Laura R., Becker, Robert, Berman, Jeffrey I., Berrington, Adam, Bhattacharyya, Pallab K., Blicher, Jakob Udby, Bogner, Wolfgang, Brown, Mark S., Calhoun, Vince D., Castillo, Ryan, Cecil, Kim M., Choi, Yeo Bi, Chu, Winnie C.W., Clarke, William T., Craven, Alexander R., Cuypers, Koen, Dacko, Michael, de la Fuente-Sandoval, Camilo, Desmond, Patricia, Domagalik, Aleksandra, Dumont, Julien, Duncan, Niall W., Dydak, Ulrike, Dyke, Katherine, Edmondson, David A., Ende, Gabriele, Ersland, Lars, Evans, C. John, Fermin, Alan S.R., Ferretti, Antonio, Fillmer, Ariane, Gong, Tao, Greenhouse, Ian, Grist, James T., Gu, Meng, Harris, Ashley D., Hat, Katarzyna, Heba, Stefanie, Heckova, Eva, Hegarty, John P., II, Heise, Kirstin-Friederike, Honda, Shiori, Jacobson, Aaron, Jansen, Jacobus F.A., Jenkins, Christopher W., Johnston, Stephen J., Juchem, Christoph, Kangarlu, Alayar, Kerr, Adam B., Landheer, Karl, Lange, Thomas, Lee, Phil, Levendovszky, Swati Rane, Limperopoulos, Catherine, Liu, Feng, Lloyd, William, Lythgoe, David J., Machizawa, Maro G., MacMillan, Erin L., Maddock, Richard J., Manzhurtsev, Andrei V., Martinez-Gudino, María L., Miller, Jack J., Mirzakhanian, Heline, Moreno-Ortega, Marta, Mullins, Paul G., Nakajima, Shinichiro, Near, Jamie, Noeske, Ralph, Nordhøy, Wibeke, Oeltzschner, Georg, Osorio-Duran, Raul, Otaduy, Maria C.G., Pasaye, Erick H., Peeters, Ronald, Peltier, Scott J., Pilatus, Ulrich, Polomac, Nenad, Porges, Eric C., Pradhan, Subechhya, Prisciandaro, James Joseph, Puts, Nicolaas A, Rae, Caroline D., Reyes-Madrigal, Francisco, Roberts, Timothy P.L., Robertson, Caroline E., Rosenberg, Jens T., Rotaru, Diana-Georgiana, O'Gorman Tuura, Ruth L, Saleh, Muhammad G., Sandberg, Kristian, Sangill, Ryan, Schembri, Keith, Schrantee, Anouk, Semenova, Natalia A., Singel, Debra, Sitnikov, Rouslan, Smith, Jolinda, Song, Yulu, Stark, Craig, Stoffers, Diederick, Swinnen, Stephan P., Tain, Rongwen, Tanase, Costin, Tapper, Sofie, Tegenthoff, Martin, Thiel, Thomas, Thioux, Marc, Truong, Peter, van Dijk, Pim, Vella, Nolan, Vidyasagar, Rishma, Vovk, Andrej, Wang, Guangbin, Westlye, Lars T., Wilbur, Timothy K., Willoughby, William R., Wilson, Martin, Wittsack, Hans-Jörg, Woods, Adam J., Wu, Yen-Chien, Xu, Junqian, Lopez, Maria Yanez, Yeung, David K.W., Zhao, Qun, Zhou, Xiaopeng, Zupan, Gasper, and Edden, Richard A.E.
Published: 2021
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5. Reward Versus Nonreward Sensitivity of the Medial Versus Lateral Orbitofrontal Cortex Relates to the Severity of Depressive Symptoms

Author: Artiges, Eric, Aydin, Semiha, Banaschewski, Tobias, Barbot, Alexis, Barker, Gareth, Becker, Andreas, Bezivin-Frere, Pauline, Biondo, Francesca, Bokde, Arun, Büchel, Christian, Chu, Congying, Conrod, Patricia, Daedelow, Laura, Dalley, Jeffrey, Desrivieres, Sylvane, Dooley, Eoin, Filippi, Irina, Fillmer, Ariane, Flor, Herta, Fröhner, Juliane, Frouin, Vincent, Garavan, Hugh, Gowland, Penny, Grimmer, Yvonne, Heinz, Andreas, Hohmann, Sarah, Ihlenfeld, Albrecht, Ing, Alex, Isensee, Corinna, Ittermann, Bernd, Jia, Tianye, Lemaitre, Hervé, Lethbridge, Emma, Martinot, Jean-Luc, Millenet, Sabina, Miller, Sarah, Miranda, Ruben, Nees, Frauke, Paillere, Marie-Laure, Papadopoulos, Dimitri, Paus, Tomáš, Pausova, Zdenka, Pentilla, Jani, Poline, Jean-Baptiste, Poustka, Luise, Burke, Erin, Rapp, Michael, Robbins, Trevor, Robert, Gabriel, Rogers, John, Ruggeri, Barbara, Schumann, Gunter, Smolka, Michael, Stringaris, Argyris, van Noort, Betteke, Walter, Henrik, Whelan, Robert, Simon, Roux, Williams, Steve, Zhang, Yuning, Xie, Chao, Rolls, Edmund T., Robbins, Trevor W., Sahakian, Barbara J., Zhang, Jie, Liu, Zhaowen, Cheng, Wei, Luo, Qiang, Zac Lo, Chun-Yi, Wang, He, Barker, Gareth J., Bokde, Arun L.W., Quinlan, Erin Burke, Desrivières, Sylvane, Grigis, Antoine, Paillère Martinot, Marie-Laure, Orfanos, Dimitri Papadopoulos, Fröhner, Juliane H., Smolka, Michael N., and Feng, Jianfeng
Published: 2021
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6. Associations between blood‐based biomarkers and other outcomes related to Alzheimer’s disease

Author: Göschel, Laura, primary, Dell'Orco, Andrea, additional, Hoede, Patty, additional, Koertvelyessy, Peter, additional, Fillmer, Ariane, additional, Aydin, Semiha, additional, Cano, Stefan, additional, Melin, Jeanette, additional, Pendrill, Leslie, additional, Lehmann, Sylvain, additional, Ittermann, Bernd, additional, Teunissen, Charlotte E., additional, and Flöel, Agnes, additional
Published: 2023
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7. Can construct specification equations help us progress the biomarker‐cognition debate in dementia?

Author: Melin, Jeanette, primary, Göschel, Laura, additional, Teunissen, Charlotte E., additional, Hoede, Patty, additional, Lehmann, Sylvain, additional, Fillmer, Ariane, additional, Flöel, Agnes, additional, Cano, Stefan, additional, Marquis, Sarah, additional, and Pendrill, Leslie, additional
Published: 2023
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8. Macromolecule modelling for improved metabolite quantification using short echo time brain1H MRS at 3 T and 7 T: The PRaMM Model

Author: Dell’Orco, Andrea, primary, Riemann, Layla Tabea, additional, Ellison, Stephen L. R., additional, Aydin, Semiha, additional, Göschel, Laura, additional, Tietze, Anna, additional, Scheel, Michael, additional, and Fillmer, Ariane, additional
Published: 2023
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9. European Ultrahigh-Field Imaging Network for Neurodegenerative Diseases (EUFIND)

Author: Düzel, Emrah, Acosta-Cabronero, Julio, Berron, David, Biessels, Geert Jan, Björkman-Burtscher, Isabella, Bottlaender, Michel, Bowtell, Richard, Buchem, Mark v, Cardenas-Blanco, Arturo, Boumezbeur, Fawzi, Chan, Dennis, Clare, Stuart, Costagli, Mauro, de Rochefort, Ludovic, Fillmer, Ariane, Gowland, Penny, Hansson, Oskar, Hendrikse, Jeroen, Kraff, Oliver, Ladd, Mark E., Ronen, Itamar, Petersen, Esben, Rowe, James B., Siebner, Hartwig, Stoecker, Tony, Straub, Sina, Tosetti, Michela, Uludag, Kamil, Vignaud, Alexandre, Zwanenburg, Jaco, and Speck, Oliver
Published: 2019
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10. NMR and dielectric studies of hydrated collagen and elastin: Evidence for a delocalized secondary relaxation

Author: Lusceac, Sorin A., Rosenstihl, Markus, Vogel, Michael, Gainaru, Catalin, Fillmer, Ariane, and Böhmer, Roland
Subjects: Condensed Matter - Soft Condensed Matter
Abstract: Using a combination of dielectric spectroscopy and solid-state deuteron NMR, the hydration water dynamics of connective tissue proteins is studied at sub-ambient temperatures. In this range, the water dynamics follows an Arrhenius law. A scaling analysis of dielectric losses, 'two-phase' NMR spectra, and spin-lattice relaxation times consistently yield evidence for a Gaussian distribution of energy barriers. With the dielectric data as input, random-walk simulations of a large-angle, quasi-isotropic water reorientation provide an approximate description of stimulated-echo data on hydrated elastin. This secondary process takes place in an essentially rigid energy landscape, but in contrast to typical {\beta}-relaxations it is quasi-isotropic and delocalized. The delocalization is inferred from previous NMR diffusometry experiments. To emphasize the distinction from conventional {\beta}-processes, for aqueous systems such a matrix-decoupled relaxation was termed a {\nu}-process. It is emphasized that the phenomenology of this time-honored, 'new' process is shared by many non-aqueous binary glasses in which the constituent components exhibit a sufficient dynamical contrast.
Published: 2010
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11. Quantitative MR Image Reconstruction Using Parameter-Specific Dictionary Learning With Adaptive Dictionary-Size and Sparsity-Level Choice

Author: Kofler, Andreas, Kerkering, Kirsten Miriam, Goschel, Laura, Fillmer, Ariane, and Kolbitsch, Christoph
Abstract: Objective: We propose a method for the reconstruction of parameter-maps in Quantitative Magnetic Resonance Imaging (QMRI). Methods: Because different quantitative parameter-maps differ from each other in terms of local features, we propose a method where the employed dictionary learning (DL) and sparse coding (SC) algorithms automatically estimate the optimal dictionary-size and sparsity level separately for each parameter-map. We evaluated the method on a $T_{1}$-mapping QMRI problem in the brain using the BrainWeb data as well as in-vivo brain images acquired on an ultra-high field 7 T scanner. We compared it to a model-based acceleration for parameter mapping (MAP) approach, other sparsity-based methods using total variation (TV), Wavelets (Wl), and Shearlets (Sh) to a method which uses DL and SC to reconstruct qualitative images, followed by a non-linear (DL+Fit). Results: Our algorithm surpasses MAP, TV, Wl, and Sh in terms of RMSE and PSNR. It yields better or comparable results to DL+Fit by additionally significantly accelerating the reconstruction by a factor of approximately seven. Conclusion: The proposed method outperforms the reported methods of comparison and yields accurate $T_{1}$-maps. Although presented for $T_{1}$-mapping in the brain, our method's structure is general and thus most probably also applicable for the the reconstruction of other quantitative parameters in other organs. Significance: From a clinical perspective, the obtained $T_{1}$-maps could be utilized to differentiate between healthy subjects and patients with Alzheimer's disease. From a technical perspective, the proposed unsupervised method could be employed to obtain ground-truth data for the development of data-driven methods based on supervised learning.
Published: 2024
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12. Quantitative MR Image Reconstruction using Parameter-Specific Dictionary Learning with Adaptive Dictionary-Size and Sparsity-Level Choice

Author: Kofler, Andreas, primary, Kerkering, Kirsten Miriam, additional, Göschel, Laura, additional, Fillmer, Ariane, additional, and Kolbitsch, Christoph, additional
Published: 2023
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13. 7T Amygdala and Hippocampus Subfields in Volumetry-Based Associations with Memory: A 3-Year Follow-Up Study of Early Alzheimer's Disease

Author: Göschel, Laura, primary, Kurz, Lea, additional, Dell’Orco, Andrea, additional, Köbe, Theresa, additional, Körtvélyessy, Peter, additional, Fillmer, Ariane, additional, Aydin, Semiha, additional, Riemann, Layla Tabea, additional, Wang, Hui, additional, Ittermann, Bernd, additional, Grittner, Ulrike, additional, and Flöel, Agnes, additional
Published: 2023
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14. Associations between the glial marker myo‐inositol measured by 7T MRS and other AD‐relevant measures

Author: Göschel, Laura, primary, Fillmer, Ariane, additional, Dell'Orco, Andrea, additional, Melin, Jeanette, additional, Aydin, Semiha, additional, Kurz, Lea, additional, Riemann, Layla Tabea, additional, Wang, Hui, additional, Ittermann, Bernd, additional, Rujescu, Dan, additional, Pendrill, Leslie, additional, Köbe, Theresa, additional, and Flöel, Agnes, additional
Published: 2022
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15. Fourier‐based decomposition for simultaneous 2‐voxel MRS acquisition with 2SPECIAL

Author: Riemann, Layla Tabea, primary, Aigner, Christoph Stefan, additional, Mekle, Ralf, additional, Speck, Oliver, additional, Rose, Georg, additional, Ittermann, Bernd, additional, Schmitter, Sebastian, additional, and Fillmer, Ariane, additional
Published: 2022
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16. Mechanisms of SNR and line shape improvement by B0 correction in overdiscrete MRSI reconstruction

Author: Kirchner, Thomas, Fillmer, Ariane, and Henning, Anke
Published: 2017
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17. Pentafluorosulfanyl (SF(5)) as a superior (19)F magnetic resonance reporter group: signal detection and biological activity of teriflunomide derivatives

Author: Prinz, Christian, Starke, Ludger, Ramspoth, Tizian-Frank, Kerkering, Janis, Martos Riaño, Vera, Paul, Jérôme, Neuenschwander, Martin, Oder, Andreas, Radetzki, Silke, Adelhoefer, Siegfried, Ramos Delgado, Paula, Aravina, Mariya, Millward, Jason M., Fillmer, Ariane, Paul, Friedemann, Siffrin, Volker, von Kries, Jens-Peter, Niendorf, Thoralf, Nazaré, Marc, and Waiczies, Sonia
Subjects: MRS, Magnetic Resonance Spectroscopy, Toluidines, Dihydroorotate Dehydrogenase, DHODH, Hydroxybutyrates, Magnetic Resonance Imaging, Article, Cardiovascular and Metabolic Diseases, fluorine, Crotonates, Nitriles, teriflunomide, Animals, Technology Platforms, Function and Dysfunction of the Nervous System, SF5, MRI
Abstract: Fluorine ((19)F) magnetic resonance imaging (MRI) is severely limited by a low signal-to noise ratio (SNR), and tapping it for (19)F drug detection in vivo still poses a significant challenge. However, it bears the potential for label-free theranostic imaging. Recently, we detected the fluorinated dihydroorotate dehydrogenase (DHODH) inhibitor teriflunomide (TF) noninvasively in an animal model of multiple sclerosis (MS) using (19)F MR spectroscopy (MRS). In the present study, we probed distinct modifications to the CF(3) group of TF to improve its SNR. This revealed SF(5) as a superior alternative to the CF(3) group. The value of the SF(5) bioisostere as a (19)F MRI reporter group within a biological or pharmacological context is by far underexplored. Here, we compared the biological and pharmacological activities of different TF derivatives and their (19)F MR properties (chemical shift and relaxation times). The (19)F MR SNR efficiency of three MRI methods revealed that SF(5)-substituted TF has the highest (19)F MR SNR efficiency in combination with an ultrashort echo-time (UTE) MRI method. Chemical modifications did not reduce pharmacological or biological activity as shown in the in vitro dihydroorotate dehydrogenase enzyme and T cell proliferation assays. Instead, SF(5)-substituted TF showed an improved capacity to inhibit T cell proliferation, indicating better anti-inflammatory activity and its suitability as a viable bioisostere in this context. This study proposes SF(5) as a novel superior (19)F MR reporter group for the MS drug teriflunomide.
Published: 2021

18. NMR and dielectric studies of hydrated collagen and elastin: Evidence for a delocalized secondary relaxation

Author: Lusceac, Sorin A., Rosenstihl, Markus, Vogel, Michael, Gainaru, Catalin, Fillmer, Ariane, and Böhmer, Roland
Published: 2011
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19. The NeuroMET project: Metrology and innovation for early diagnosis and accurate stratification of patients with neurodegenerative diseases

Author: Quaglia, Milena, primary, Cano, Stefan, additional, Fillmer, Ariane, additional, Flöel, Agnes, additional, Giangrande, Chiara, additional, Göschel, Laura, additional, Lehmann, Sylvain, additional, Melin, Jeanette, additional, and Teunissen, Charlotte E., additional
Published: 2021
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20. Assessment of measurement precision in single‐voxel spectroscopy at 7 T: Toward minimal detectable changes of metabolite concentrations in the human brain in vivo

Author: Riemann, Layla Tabea, primary, Aigner, Christoph Stefan, additional, Ellison, Stephen L. R., additional, Brühl, Rüdiger, additional, Mekle, Ralf, additional, Schmitter, Sebastian, additional, Speck, Oliver, additional, Rose, Georg, additional, Ittermann, Bernd, additional, and Fillmer, Ariane, additional
Published: 2021
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21. Fast iterative pre-emphasis calibration method enabling third-order dynamic shim updated fMRI

Author: Fillmer, Ariane, Vannesjo, Signe Johanna, Pavan, Matteo, Scheidegger, Milan, Pruessmann, Klaas Paul, and Henning, Anke
Published: 2016
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22. Broadened dielectric loss spectra and reduced dispersion strength of viscous glycerol in a connective tissue protein

Author: Fillmer, Ariane, Gainaru, Catalin, and Böhmer, Roland
Published: 2010
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23. Advanced single voxel 1H magnetic resonance spectroscopy techniques in humans: Experts' consensus recommendations

Author: Öz, Gülin, Deelchand, Dinesh K., Wijnen, Jannie P., Mlynárik, Vladimír, Xin, Lijing, Mekle, Ralf, Noeske, Ralph, Scheenen, Tom W.J., Tkáč, Ivan, Andronesi, Ovidiu, Barker, Peter B., Bartha, Robert, Berrington, Adam, Boer, Vincent, Cudalbu, Christina, Emir, Uzay E., Ernst, Thomas, Fillmer, Ariane, Heerschap, Arend, Henry, Pierre Gilles, Hurd, Ralph E., Joers, James M., Juchem, Christoph, Kan, Hermien E., Klomp, Dennis W.J., Kreis, Roland, Landheer, Karl, Mangia, Silvia, Marjańska, Małgorzata, Near, Jamie, Ratai, Eva M., and Ronen, Itamar
Subjects: Scanner, Computer science, Single voxel, brain, computer.software_genre, B1 field, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, chemical shift displacement, 0302 clinical medicine, Voxel, SPECIAL, shimming, Radiology, Nuclear Medicine and imaging, reproducibility, Spectroscopy, metabolites, Shift displacement, business.industry, Shim (magnetism), Pattern recognition, semiadiabatic LASER, body, Molecular Medicine, Artificial intelligence, business, Proton mrs, Quality assurance, computer, 030217 neurology & neurosurgery
Abstract: Conventional proton MRS has been successfully utilized to noninvasively assess tissue biochemistry in conditions that result in large changes in metabolite levels. For more challenging applications, namely, in conditions which result in subtle metabolite changes, the limitations of vendor-provided MRS protocols are increasingly recognized, especially when used at high fields (≥3 T) where chemical shift displacement errors, B0 and B1 inhomogeneities and limitations in the transmit B1 field become prominent. To overcome the limitations of conventional MRS protocols at 3 and 7 T, the use of advanced MRS methodology, including pulse sequences and adjustment procedures, is recommended. Specifically, the semiadiabatic LASER sequence is recommended when TE values of 25-30 ms are acceptable, and the semiadiabatic SPECIAL sequence is suggested as an alternative when shorter TE values are critical. The magnetic field B0 homogeneity should be optimized and RF pulses should be calibrated for each voxel. Unsuppressed water signal should be acquired for eddy current correction and preferably also for metabolite quantification. Metabolite and water data should be saved in single shots to facilitate phase and frequency alignment and to exclude motion-corrupted shots. Final averaged spectra should be evaluated for SNR, linewidth, water suppression efficiency and the presence of unwanted coherences. Spectra that do not fit predefined quality criteria should be excluded from further analysis. Commercially available tools to acquire all data in consistent anatomical locations are recommended for voxel prescriptions, in particular in longitudinal studies. To enable the larger MRS community to take advantage of these advanced methods, a list of resources for these advanced protocols on the major clinical platforms is provided. Finally, a set of recommendations are provided for vendors to enable development of advanced MRS on standard platforms, including implementation of advanced localization sequences, tools for quality assurance on the scanner, and tools for prospective volume tracking and dynamic linear shim corrections.
Published: 2021

24. Pentafluorosulfanyl (SF5) as a Superior 19F Magnetic Resonance Reporter Group: Signal Detection and Biological Activity of Teriflunomide Derivatives

Author: Prinz, Christian, primary, Starke, Ludger, additional, Ramspoth, Tizian-Frank, additional, Kerkering, Janis, additional, Martos Riaño, Vera, additional, Paul, Jérôme, additional, Neuenschwander, Martin, additional, Oder, Andreas, additional, Radetzki, Silke, additional, Adelhoefer, Siegfried, additional, Ramos Delgado, Paula, additional, Aravina, Mariya, additional, Millward, Jason M., additional, Fillmer, Ariane, additional, Paul, Friedemann, additional, Siffrin, Volker, additional, von Kries, Jens-Peter, additional, Niendorf, Thoralf, additional, Nazaré, Marc, additional, and Waiczies, Sonia, additional
Published: 2021
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25. Constrained image-based B0 shimming accounting for “local minimum traps” in the optimization and field inhomogeneities outside the region of interest

Author: Fillmer, Ariane, Kirchner, Thomas, Cameron, Donnie, and Henning, Anke
Published: 2015
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26. Reward Versus Nonreward Sensitivity of the Medial Versus Lateral Orbitofrontal Cortex Relates to the Severity of Depressive Symptoms

Author: Xie, Chao, Jia, Tianye, Rolls, Edmund T., Robbins, Trevor W., Sahakian, Barbara J., Zhang, Jie, Liu, Zhaowen, Cheng, Wei, Luo, Qiang, Zac Lo, Chun-Yi, Wang, He, Banaschewski, Tobias, Barker, Gareth J., Bokde, Arun L.W., Quinlan, Erin Burke, Flor, Herta, Grigis, Antoine, Garavan, Hugh, Gowland, Penny, Heinz, Andreas, Hohmann, Sarah, Ittermann, Bernd, Martinot, Jean-Luc, Nees, Frauke, Orfanos, Dimitri Papadopoulos, Poustka, Luise, Smolka, Michael N., Walter, Henrik, Whelan, Robert, Schumann, Gunter, Feng, Jianfeng, Artiges, Eric, Aydin, Semiha, Barbot, Alexis, Barker, Gareth, Becker, Andreas, Bezivin-Frere, Pauline, Biondo, Francesca, Bokde, Arun, Chu, Congying, Conrod, Patricia, Daedelow, Laura, Dalley, Jeffrey, Desrivieres, Sylvane, Dooley, Eoin, Filippi, Irina, Fillmer, Ariane, Frouin, Vincent, Grimmer, Yvonne, Ihlenfeld, Albrecht, Ing, Alex, Isensee, Corinna, Lethbridge, Emma, Millenet, Sabina, Miller, Sarah, Miranda, Ruben, Paillere, Marie-Laure, Papadopoulos, Dimitri, Pausova, Zdenka, Pentilla, Jani, Poline, Jean-Baptiste, Burke, Erin, Rapp, Michael, Robbins, Trevor, Robert, Gabriel, Rogers, John, Ruggeri, Barbara, Smolka, Michael, Stringaris, Argyris, van Noort, Betteke, Simon, Roux, Williams, Steve, and Zhang, Yuning
Subjects: nervous system, Radiology Nuclear Medicine and imaging, musculoskeletal, neural, and ocular physiology, Cognitive Neuroscience, Clinical Neurology, psychological phenomena and processes, Biological Psychiatry
Abstract: BackgroundThe orbitofrontal cortex (OFC) is implicated in depression. The hypothesis investigated was whether the OFC sensitivity to reward and nonreward is related to the severity of depressive symptoms.MethodsActivations in the monetary incentive delay task were measured in the IMAGEN cohort at ages 14 years (n = 1877) and 19 years (n = 1140) with a longitudinal design. Clinically relevant subgroups were compared at ages 19 (high-severity group: n = 116; low-severity group: n = 206) and 14.ResultsThe medial OFC exhibited graded activation increases to reward, and the lateral OFC had graded activation increases to nonreward. In this general population, the medial and lateral OFC activations were associated with concurrent depressive symptoms at both ages 14 and 19 years. In a stratified high-severity depressive symptom group versus control group comparison, the lateral OFC showed greater sensitivity for the magnitudes of activations related to nonreward in the high-severity group at age 19 (p = .027), and the medial OFC showed decreased sensitivity to the reward magnitudes in the high-severity group at both ages 14 (p = .002) and 19 (p = .002). In a longitudinal design, there was greater sensitivity to nonreward of the lateral OFC at age 14 for those who exhibited high depressive symptom severity later at age 19 (p = .003).ConclusionsActivations in the lateral OFC relate to sensitivity to not winning, were associated with high depressive symptom scores, and at age 14 predicted the depressive symptoms at ages 16 and 19. Activations in the medial OFC were related to sensitivity to winning, and reduced reward sensitivity was associated with concurrent high depressive symptom scores.
Published: 2021

27. In vivo detection of teriflunomide-derived fluorine signal during neuroinflammation using fluorine MR spectroscopy

Author: Prinz, Christian, Starke, Ludger, Millward, Jason M., Fillmer, Ariane, Delgado, Paula Ramos, Waiczies, Helmar, Pohlmann, Andreas, Rothe, Michael, Nazaré, Marc, Paul, Friedemann, Niendorf, Thoralf, and Waiczies, Sonia
Subjects: MRS, Magnetic Resonance Spectroscopy, Multiple Sclerosis, Cardiovascular and Metabolic Diseases, Teriflunomide, experimental autoimmune encephalomyelitis, Fluorine, Technology Platforms, Function and Dysfunction of the Nervous System, Research Paper, MRI
Abstract: BACKGROUND: Magnetic resonance imaging (MRI) is indispensable for diagnosing neurological conditions such as multiple sclerosis (MS). MRI also supports decisions regarding the choice of disease-modifying drugs (DMDs). Determining in vivo tissue concentrations of DMDs has the potential to become an essential clinical tool for therapeutic drug monitoring (TDM). The aim here was to examine the feasibility of fluorine-19 ((19)F) MR methods to detect the fluorinated DMD teriflunomide (TF) during normal and pathological conditions. METHODS: We used (19)F MR spectroscopy to detect TF in the experimental autoimmune encephalomyelitis (EAE) mouse model of multiple sclerosis (MS) in vivo. Prior to the in vivo investigations we characterized the MR properties of TF in vitro. We studied the impact of pH and protein binding as well as MR contrast agents. RESULTS: We could detect TF in vivo and could follow the (19)F MR signal over different time points of disease. We quantified TF concentrations in different tissues using HPLC/MS and showed a significant correlation between ex vivo TF levels in serum and the ex vivo (19)F MR signal. CONCLUSION: This study demonstrates the feasibility of (19)F MR methods to detect TF during neuroinflammation in vivo. It also highlights the need for further technological developments in this field. The ultimate goal is to add (19)F MR protocols to conventional (1)H MRI protocols in clinical practice to guide therapy decisions.
Published: 2021

28. Frequency Drift in MR Spectroscopy at 3T

Author: Hui, Steve C N, Mikkelsen, Mark, Zöllner, Helge J, Ahluwalia, Vishwadeep, Alcauter, Sarael, Baltusis, Laima, Barany, Deborah A, Barlow, Laura R, Becker, Robert, Berman, Jeffrey I, Berrington, Adam, Bhattacharyya, Pallab K, Blicher, Jakob Udby, Bogner, Wolfgang, Brown, Mark S, Calhoun, Vince D, Castillo, Ryan, Cecil, Kim M, Choi, Yeo Bi, Chu, Winnie C W, Clarke, William T, Craven, Alexander R, Cuypers, Koen, Dacko, Michael, de la Fuente-Sandoval, Camilo, Desmond, Patricia, Domagalik, Aleksandra, Dumont, Julien, Duncan, Niall W, Dydak, Ulrike, Dyke, Katherine, Edmondson, David A, Ende, Gabriele, Ersland, Lars, Evans, C John, Fermin, Alan S R, Ferretti, Antonio, Fillmer, Ariane, Gong, Tao, Greenhouse, Ian, Grist, James T, Gu, Meng, Harris, Ashley D, Hat, Katarzyna, Heba, Stefanie, Heckova, Eva, Hegarty, John P, Heise, Kirstin-Friederike, Jacobson, Aaron, Jansen, Jacobus F A, Jenkins, Christopher W, Johnston, Stephen J, Juchem, Christoph, Kangarlu, Alayar, Kerr, Adam B, Landheer, Karl, Lange, Thomas, Lee, Phil, Levendovszky, Swati Rane, Limperopoulos, Catherine, Liu, Feng, Lloyd, William, Lythgoe, David J, Machizawa, Maro G, MacMillan, Erin L, Maddock, Richard J, Manzhurtsev, Andrei V, Martinez-Gudino, María L, Miller, Jack J, Mirzakhanian, Heline, Moreno-Ortega, Marta, Mullins, Paul G, Near, Jamie, Noeske, Ralph, Nordhøy, Wibeke, Oeltzschner, Georg, Osorio-Duran, Raul, Otaduy, Maria C G, Pasaye, Erick H, Peeters, Ronald, Peltier, Scott J, Pilatus, Ulrich, Polomac, Nenad, Porges, Eric C, Pradhan, Subechhya, Prisciandaro, James Joseph, Puts, Nicolaas A, Rae, Caroline D, Reyes-Madrigal, Francisco, Roberts, Timothy P L, Robertson, Caroline E, Rosenberg, Jens T, Rotaru, Diana-Georgiana, O'Gorman Tuura, Ruth L, Saleh, Muhammad G, Sandberg, Kristian, Sangill, Ryan, Schembri, Keith, Schrantee, Anouk, Semenova, Natalia A, Singel, Debra, Sitnikov, Rouslan, Smith, Jolinda, Song, Yulu, Stark, Craig, Stoffers, Diederick, Swinnen, Stephan P, Tain, Rongwen, Tanase, Costin, Tapper, Sofie, Tegenthoff, Martin, Thiel, Thomas, Thioux, Marc, Truong, Peter, van Dijk, Pim, Vella, Nolan, Vidyasagar, Rishma, Vovk, Andrej, Wang, Guangbin, Westlye, Lars T, Wilbur, Timothy K, Willoughby, William R, Wilson, Martin, Wittsack, Hans-Jörg, Woods, Adam J, Wu, Yen-Chien, Xu, Junqian, Lopez, Maria Yanez, Yeung, David K W, Zhao, Qun, Zhou, Xiaopeng, Zupan, Gasper, Edden, Richard A E, Hui, Steve C N, Mikkelsen, Mark, Zöllner, Helge J, Ahluwalia, Vishwadeep, Alcauter, Sarael, Baltusis, Laima, Barany, Deborah A, Barlow, Laura R, Becker, Robert, Berman, Jeffrey I, Berrington, Adam, Bhattacharyya, Pallab K, Blicher, Jakob Udby, Bogner, Wolfgang, Brown, Mark S, Calhoun, Vince D, Castillo, Ryan, Cecil, Kim M, Choi, Yeo Bi, Chu, Winnie C W, Clarke, William T, Craven, Alexander R, Cuypers, Koen, Dacko, Michael, de la Fuente-Sandoval, Camilo, Desmond, Patricia, Domagalik, Aleksandra, Dumont, Julien, Duncan, Niall W, Dydak, Ulrike, Dyke, Katherine, Edmondson, David A, Ende, Gabriele, Ersland, Lars, Evans, C John, Fermin, Alan S R, Ferretti, Antonio, Fillmer, Ariane, Gong, Tao, Greenhouse, Ian, Grist, James T, Gu, Meng, Harris, Ashley D, Hat, Katarzyna, Heba, Stefanie, Heckova, Eva, Hegarty, John P, Heise, Kirstin-Friederike, Jacobson, Aaron, Jansen, Jacobus F A, Jenkins, Christopher W, Johnston, Stephen J, Juchem, Christoph, Kangarlu, Alayar, Kerr, Adam B, Landheer, Karl, Lange, Thomas, Lee, Phil, Levendovszky, Swati Rane, Limperopoulos, Catherine, Liu, Feng, Lloyd, William, Lythgoe, David J, Machizawa, Maro G, MacMillan, Erin L, Maddock, Richard J, Manzhurtsev, Andrei V, Martinez-Gudino, María L, Miller, Jack J, Mirzakhanian, Heline, Moreno-Ortega, Marta, Mullins, Paul G, Near, Jamie, Noeske, Ralph, Nordhøy, Wibeke, Oeltzschner, Georg, Osorio-Duran, Raul, Otaduy, Maria C G, Pasaye, Erick H, Peeters, Ronald, Peltier, Scott J, Pilatus, Ulrich, Polomac, Nenad, Porges, Eric C, Pradhan, Subechhya, Prisciandaro, James Joseph, Puts, Nicolaas A, Rae, Caroline D, Reyes-Madrigal, Francisco, Roberts, Timothy P L, Robertson, Caroline E, Rosenberg, Jens T, Rotaru, Diana-Georgiana, O'Gorman Tuura, Ruth L, Saleh, Muhammad G, Sandberg, Kristian, Sangill, Ryan, Schembri, Keith, Schrantee, Anouk, Semenova, Natalia A, Singel, Debra, Sitnikov, Rouslan, Smith, Jolinda, Song, Yulu, Stark, Craig, Stoffers, Diederick, Swinnen, Stephan P, Tain, Rongwen, Tanase, Costin, Tapper, Sofie, Tegenthoff, Martin, Thiel, Thomas, Thioux, Marc, Truong, Peter, van Dijk, Pim, Vella, Nolan, Vidyasagar, Rishma, Vovk, Andrej, Wang, Guangbin, Westlye, Lars T, Wilbur, Timothy K, Willoughby, William R, Wilson, Martin, Wittsack, Hans-Jörg, Woods, Adam J, Wu, Yen-Chien, Xu, Junqian, Lopez, Maria Yanez, Yeung, David K W, Zhao, Qun, Zhou, Xiaopeng, Zupan, Gasper, and Edden, Richard A E
Abstract: PURPOSE: Heating of gradient coils and passive shim components is a common cause of instability in the B0 field, especially when gradient intensive sequences are used. The aim of the study was to set a benchmark for typical drift encountered during MR spectroscopy (MRS) to assess the need for real-time field-frequency locking on MRI scanners by comparing field drift data from a large number of sites.METHOD: A standardized protocol was developed for 80 participating sites using 99 3T MR scanners from 3 major vendors. Phantom water signals were acquired before and after an EPI sequence. The protocol consisted of: minimal preparatory imaging; a short pre-fMRI PRESS; a ten-minute fMRI acquisition; and a long post-fMRI PRESS acquisition. Both pre- and post-fMRI PRESS were non-water suppressed. Real-time frequency stabilization/adjustment was switched off when appropriate. Sixty scanners repeated the protocol for a second dataset. In addition, a three-hour post-fMRI MRS acquisition was performed at one site to observe change of gradient temperature and drift rate. Spectral analysis was performed using MATLAB. Frequency drift in pre-fMRI PRESS data were compared with the first 5:20 minutes and the full 30:00 minutes of data after fMRI. Median (interquartile range) drifts were measured and showed in violin plot. Paired t-tests were performed to compare frequency drift pre- and post-fMRI. A simulated in vivo spectrum was generated using FID-A to visualize the effect of the observed frequency drifts. The simulated spectrum was convolved with the frequency trace for the most extreme cases. Impacts of frequency drifts on NAA and GABA were also simulated as a function of linear drift. Data from the repeated protocol were compared with the corresponding first dataset using Pearson's and intraclass correlation coefficients (ICC).RESULTS: Of the data collected from 99 scanners, 4 were excluded due to various reasons. Thus, data from 95 scanners were ultimately anal
Published: 2021

29. The genetic architecture of the human cerebral cortex

Author: Grasby, Katrina L, Jahanshad, Neda, Shatokhina, Natalia, Mirza-Schreiber, Nazanin, Moreira, Jose C V, Mühleisen, Thomas W, Müller-Myhsok, Bertram, Najt, Pablo, Nakahara, Soichiro, Nho, Kwangsik, Olde Loohuis, Loes M, Orfanos, Dimitri Papadopoulos, Pearson, John F, Zsembik, Leo C P, Pitcher, Toni L, Pütz, Benno, Quidé, Yann, Ragothaman, Anjanibhargavi, Rashid, Faisal M, Reay, William R, Redlich, Ronny, Reinbold, Céline S, Repple, Jonathan, Richard, Geneviève, Thomopoulos, Sophia I, Riedel, Brandalyn C, Risacher, Shannon L, Rocha, Cristiane S, Mota, Nina Roth, Salminen, Lauren, Saremi, Arvin, Saykin, Andrew J, Schlag, Fenja, Schmaal, Lianne, Schofield, Peter R, Zhu, Alyssa H, Secolin, Rodrigo, Shapland, Chin Yang, Shen, Li, Shin, Jean, Shumskaya, Elena, Sønderby, Ida E, Sprooten, Emma, Tansey, Katherine E, Teumer, Alexander, Thalamuthu, Anbupalam, Strike, Lachlan T, Tordesillas-Gutiérrez, Diana, Turner, Jessica A, Uhlmann, Anne, Vallerga, Costanza Ludovica, van der Meer, Dennis, van Donkelaar, Marjolein M J, van Eijk, Liza, van Erp, Theo G M, van Haren, Neeltje E M, van Rooij, Daan, Agartz, Ingrid, van Tol, Marie-José, Veldink, Jan H, Verhoef, Ellen, Walton, Esther, Wang, Mingyuan, Wang, Yunpeng, Wardlaw, Joanna M, Wen, Wei, Westlye, Lars T, Whelan, Christopher D, Alhusaini, Saud, Witt, Stephanie H, Wittfeld, Katharina, Wolf, Christiane, Wolfers, Thomas, Wu, Jing Qin, Yasuda, Clarissa L, Zaremba, Dario, Zhang, Zuo, Zwiers, Marcel P, Artiges, Eric, Almeida, Marcio A A, Assareh, Amelia A, Ayesa-Arriola, Rosa, Belger, Aysenil, Brandt, Christine L, Brown, Gregory G, Cichon, Sven, Curran, Joanne E, Davies, Gareth E, Degenhardt, Franziska, Dennis, Michelle F, Alnæs, Dag, Dietsche, Bruno, Djurovic, Srdjan, Doherty, Colin P, Espiritu, Ryan, Garijo, Daniel, Gil, Yolanda, Gowland, Penny A, Green, Robert C, Häusler, Alexander N, Heindel, Walter, Amlien, Inge K, Ho, Beng-Choon, Hoffmann, Wolfgang U, Holsboer, Florian, Homuth, Georg, Hosten, Norbert, Jack, Clifford R, Jang, MiHyun, Jansen, Andreas, Kimbrel, Nathan A, Kolskår, Knut, Painter, Jodie N, Andersson, Micael, Koops, Sanne, Krug, Axel, Lim, Kelvin O, Luykx, Jurjen J, Mathalon, Daniel H, Mather, Karen A, Mattay, Venkata S, Matthews, Sarah, Mayoral Van Son, Jaqueline, McEwen, Sarah C, Ard, Tyler, Melle, Ingrid, Morris, Derek W, Mueller, Bryon A, Nauck, Matthias, Nordvik, Jan E, Nöthen, Markus M, O'Leary, Daniel S, Opel, Nils, Martinot, Marie-Laure Paillère, Pike, G Bruce, Armstrong, Nicola J, Preda, Adrian, Quinlan, Erin B, Rasser, Paul E, Ratnakar, Varun, Reppermund, Simone, Steen, Vidar M, Tooney, Paul A, Torres, Fábio R, Veltman, Dick J, Voyvodic, James T, Ashley-Koch, Allison, Whelan, Robert, White, Tonya, Yamamori, Hidenaga, Adams, Hieab H H, Bis, Joshua C, Debette, Stephanie, Decarli, Charles, Fornage, Myriam, Gudnason, Vilmundur, Hofer, Edith, Atkins, Joshua R, Ikram, M Arfan, Launer, Lenore, Longstreth, W. T., Lopez, Oscar L, Mazoyer, Bernard, Mosley, Thomas H, Roshchupkin, Gennady V, Satizabal, Claudia L, Schmidt, Reinhold, Seshadri, Sudha, Bernard, Manon, Yang, Qiong, Initiative, Alzheimer’s Disease Neuroimaging, Consortium, CHARGE, Consortium, EPIGEN, Consortium, IMAGEN, Consortium, SYS, Initiative, Parkinson’s Progression Markers, Alvim, Marina K M, Ames, David, Anderson, Tim J, Brouwer, Rachel M, Andreassen, Ole A, Arias-Vasquez, Alejandro, Bastin, Mark E, Baune, Bernhard T, Beckham, Jean C, Blangero, John, Boomsma, Dorret I, Brodaty, Henry, Brunner, Han G, Buckner, Randy L, Buimer, Elizabeth E L, Buitelaar, Jan K, Bustillo, Juan R, Cahn, Wiepke, Cairns, Murray J, Calhoun, Vince, Carr, Vaughan J, Caseras, Xavier, Caspers, Svenja, Cavalleri, Gianpiero L, Cendes, Fernando, Bülow, Robin, Corvin, Aiden, Crespo-Facorro, Benedicto, Dalrymple-Alford, John C, Dannlowski, Udo, de Geus, Eco J C, Deary, Ian J, Delanty, Norman, Depondt, Chantal, Desrivières, Sylvane, Donohoe, Gary, Bürger, Christian, Espeseth, Thomas, Fernández, Guillén, Fisher, Simon E, Flor, Herta, Forstner, Andreas J, Francks, Clyde, Franke, Barbara, Glahn, David C, Gollub, Randy L, Grabe, Hans J, Colodro-Conde, Lucía, Cannon, Dara M, Gruber, Oliver, Håberg, Asta K, Hariri, Ahmad R, Hartman, Catharina A, Hashimoto, Ryota, Heinz, Andreas, Henskens, Frans A, Hillegers, Manon H J, Hoekstra, Pieter J, Holmes, Avram J, Chakravarty, Mallar, Hong, L Elliot, Hopkins, William D, Hulshoff Pol, Hilleke E, Jernigan, Terry L, Jönsson, Erik G, Kahn, René S, Kennedy, Martin A, Kircher, Tilo T J, Kochunov, Peter, Kwok, John B J, Chen, Qiang, Le Hellard, Stephanie, Loughland, Carmel M, Martin, Nicholas G, Martinot, Jean-Luc, McDonald, Colm, McMahon, Katie L, Meyer-Lindenberg, Andreas, Michie, Patricia T, Morey, Rajendra A, Mowry, Bryan, Cheung, Joshua W, Nyberg, Lars, Oosterlaan, Jaap, Ophoff, Roel A, Pantelis, Christos, Paus, Tomas, Pausova, Zdenka, Penninx, Brenda W J H, Polderman, Tinca J C, Posthuma, Danielle, Rietschel, Marcella, Couvy-Duchesne, Baptiste, Roffman, Joshua L, Rowland, Laura M, Sachdev, Perminder S, Sämann, Philipp G, Schall, Ulrich, Schumann, Gunter, Scott, Rodney J, Sim, Kang, Sisodiya, Sanjay M, Smoller, Jordan W, Dale, Anders M, Sommer, Iris E, St Pourcain, Beate, Stein, Dan J, Toga, Arthur W, Trollor, Julian N, Van der Wee, Nic J A, van 't Ent, Dennis, Völzke, Henry, Walter, Henrik, Weber, Bernd, Dalvie, Shareefa, Weinberger, Daniel R, Wright, Margaret J, Zhou, Juan, Stein, Jason L, Thompson, Paul M, Medland, Sarah E, Consortium, Enhancing NeuroImaging Genetics through Meta-Analysis, Witte, A Veronica, Darin, Abigail, Fleisher, Adam, de Araujo, Tânia K, Pierce, Aimee, Mintz, Akiva, Lerner, Alan, Reith, Alastair D, Hofman, Albert, Espay, Alberto, Ihlenfeld, Albrecht, Ing, Alex, Iranzo, Alex, Beiser, Alexa S, de Zubicaray, Greig I, Norbash, Alexander, Barbot, Alexis, Rudolph, Alice, Portillo, Alicia, Chalker, Alison, Levey, Allan I, Rosen, Allyson, Smith, Amanda, Catafau, Ana, de Zwarte, Sonja M C, Ulysse, Anaztasia, Uitterlinden, André G, Becker, Andreas, Budson, Andrew E, Kertesz, Andrew, Siderowf, Andrew, Bralten, Janita, den Braber, Anouk, Singleton, Andrew, James, Angela, Oliver, Angela, Mishra, Aniket, Hake, Ann Marie, Burke, Anna, Sarrael, Antero, Porsteinsson, Anton P, Stringaris, Argyris, McCoy, Arita, Doan, Nhat Trung, Villringer, Arno, Lenahan, Art, Toga, Arthur, Bokde, Arun, Rawlins, Ashlee, Lamb, Ashley, Lee, Athena, Raj, Balebail Ashok, Tran, Baochan, Dohm, Katharina, Ruggeri, Barbara, Saba, Barbara, Lane, Barton, Yanez, Beatriz, Ances, Beau, Dunlop, Becky, Mudge, Benita, Ravina, Bernard, Ittermann, Bernd, Ehrlich, Stefan, van Noort, Betteke, Lind, Betty, Shah, Bina, Stefanovic, Bojana, Goldstein, Bonnie S, Bonakdarpour, Borna, Matthews, Brandy R, Borowski, Bret, Ott, Brian R, Reynolds, Brigid, Engelbrecht, Hannah-Ruth, Mollenhauer, Brit, Miller, Bruce L, Psaty, Bruce M, Spann, Bryan M, Sadowsky, Carl, Linder, Carly, Franz, Carol E, Tanner, Caroline, Kopil, Catherine, Thomas, Cathi-Ann, Erk, Susanne, Ward, Chad, Bernick, Charles, Smith, Charles D, DeCarli, Charles, Caspell, Chelsea, Deeley, Cheryl, Riordan, Cheryl, Mathis, Chet, Onyike, Chiadi, Heyn, Chris Chinthaka, Fan, Chun Chieh, Hosein, Chris, Leach, Christi, Bÿchel, Christian, Gigliotti, Christina, Hunter, Christine, Belden, Christine M, Tzourio, Christophe, Coffey, Christopher, van Dyck, Christopher H, Clark, Christopher M, Fedko, Iryna O, Wu, Chuang-Kuo, Albers, Colleen S, Chu, Congying, Brand, Connie, Isensee, Corinna, van Duijn, Cornelia M, Bishop, Courtney, Bodge, Courtney, Foley, Sonya F, Tatsuoka, Curtis, Casaceli, Cynthia, Carlsson, Cynthia M, Mathews, Dana, D'Agostino, Daniel, Silverman, Daniel H S, Marson, Daniel, Berg, Daniela, Harvey, Danielle, Jennings, Danna, Ford, Judith M, Wolk, David A, Goldstein, David B, Bachman, David, Brooks, David, Clark, David, Geldmacher, David, Hart, David, Holtzman, David, Jones, David, Hibar, Derrek P, Fukunaga, Masaki, Knopman, David, Hewitt, David L, Perry, David, Russell, David, Standaert, David, Winkfield, David, Green, Davis Robert C, Fontaine, Deborah, Miller, Delwyn D, Gessert, Devon, Garrett, Melanie E, Kerwin, Diana, Willeke, Diana, Drost, Dick, Papadopoulos, Dimitri, Rowe, Dominic, Simpson, Donna M, Muni, Donna, Galasko, Douglas, Scharre, Douglas W, Fillmer, Ariane, Ge, Tian, Bartha, Rob, Celmins, Dzintra, Zimmerman, Earl A, Teng, Edmond, Tolosa, Eduardo, Coleman, Edward, Zamrini, Edward, Mitsis, Effie, Finger, Elizabeth, Giddaluru, Sudheer, Oates, Elizabeth, Sosa, Elizabeth, Woo, Ellen, Rogalski, Emily, Lethbridge, Emma, Dooley, Eoin, Foster, Eric, Reiman, Eric M, Quinlan, Erin Burke, Goldman, Aaron L, Franklin, Erin, Heinzen, Erin L, Fletcher, Evan, Sprenger, Fabienne, Crivello, Fabrice, Biondo, Francesca, Parfitt, Francine, Hefti, Franz, Beyer, Frauke, Nees, Frauke, Green, Melissa J, Leonard, Gabriel, Robert, Gabriel, Thai, Gaby, Marshall, Gad A, Barker, Gareth, Conrad, Gary, Tremont, Geoffrey, Bartzokis, George, Groenewold, Nynke A, Hsiung, Ging-Yuek Robin, Malferrari, Giulia, Chiang, Gloria, Pearlson, Godfrey D, Liang, Grace, Jicha, Greg, Sorensen, Greg, Todd, Gretchen, Jimenez, Gustavo, Grotegerd, Dominik, Zare, Habil, Grabe, Hans Jörgen, Vanderswag, Helen, Schmidt, Helena, Venkov, Heli, Lemaitre, Hervé, Gurholt, Tiril P, Grossman, Hillel, Shill, Holly, Soares, Holly, Lin, Honghuang, Capote, Horacio, Bergman, Howard, Chertkow, Howard, Feldman, Howard, Fillit, Howard, Rosen, Howard J, Gutman, Boris A, Koleva, Hristina, Fernandez, Hubert, Garavan, Hugh, Shim, Hyungsub, Grachev, Igor D, Richard, Irene, Filippi, Irina, Rachinsky, Irina, Wurster, Isabel, Lind, Penelope A, Hansell, Narelle K, Mintzer, Jacobo, Ziolkowski, Jaimie, Brewer, James, Lah, James J, Leverenz, James, Becker, James T, Tetrud, James, Singleton-Garvin, Jamika, Egebjerg, Jan, Cellar, Janet S, Harris, Mathew A, Pentilla, Jani, Brosch, Jared R, Tinklenberg, Jared, Karlawish, Jason H, Meyer, Javier Villanueva, Himali, Jayandra J, Poline, Jean-Baptiste, Gunter, Jeff, Kaye, Jeffrey A, Harrison, Marc B, Dalley, Jeffrey, Burns, Jeffrey M, Petrella, Jeffrey R, Mule, Jennifer, Salazar, Jennifer, Rotter, Jerome I, Yesavage, Jerome, Cedarbaum, Jesse, Jiang, Jiyang, Haswell, Courtney C, Allard, Joanne, Lord, Joanne L, Hetelle, Joel, Kwok, John B, Brockington, John, Morris, John C, Hsiao, John, Morris, John, Olichney, John, Trojanowki, John Q, Hauser, Michael, Rogers, John, Seibyl, John, Yankey, Jon, Dubow, Jordan S, Jankovic, Joseph, Quinn, Joseph, Kass, Joseph S, Taylor, Joy L, Heidebrink, Judith L, Herms, Stefan, Trollor, Julian, Fröhner, Juliane, Anderson, Karen, Blank, Karen, Crawford, Karen, Smith, Karen Ekstam, Bell, Karen L, Williams, Karen, Kieburtz, Karl, Heslenfeld, Dirk J, Gauss, Katharina, Gloer, Katherine, Johnson, Kathleen, Tingus, Kathleen, DeMarco, Kathryn, Sink, Kaycee M, Hawkins, Keith A, Johnson, Keith A, Kantarci, Kejal, Ho, New Fei, Faber, Kelley, Harless, Kelly, Makino, Kelly M, Marek, Kenneth, Spicer, Kenneth, Shianna, Kevin, Chen, Kewei, Nam, Ki Won, Martin, Kim, Poki-Walker, Kim, Hoehn, David, Seppi, Klaus, Johnson, Kris, Fargher, Kristin, Lipowski, Kristine, Espay, Kristy, Womack, Kyle, Chahine, Lama, Flashman, Laura A, Daedelow, Laura, Hoffmann, Per, Leary, Laura, Beckett, Laurel, Honig, Lawrence S, Thal, Leon, Shaw, Leslie M, Kuller, Lew, Apostolova, Liana, Teodoro, Liberty, Rees, Linda, Pizzagalli, Fabrizio, Holleran, Laurena, Lewis, Lindsay, Hergesheimer, Lindsey, Silbert, Lisa C, Ravdin, Lisa, Taylor-Reinwald, Lisa, Uribe, Liz, Schneider, Lon S, Daiello, Lori A, Richer, Louis, Poustka, Luise, Hoogman, Martine, Pirpamer, Lukas, Mesulam, M Marcel, Ismail, M Saleem, Ranola, Madelaine, Korecka, Magdalena, Raichle, Marc, Seltzer, Marc, van der Brug, Marcel, Hottenga, Jouke-Jan, Mesulam, Marek-Marsel, Carrillo, Maria, Carroll, Maria, Knol, Maria J, Kataki, Maria, Greig-Custo, Maria T, Paillere, Marie-Laure, Albert, Marilyn, Love, Marissa Natelson, Ikeda, Masashi, Mintun, Mark A, Frasier, Mark, Logue, Mark, Minton, Mark, Loeffler, Markus, Scholz, Markus, Baca, Marne, Farlow, Martin R, Sadowski, Martin, Janowitz, Deborah, Creech, Mary L, Hynes, Mary L, Quiceno, Mary, Oakley, MaryAnn, Harris, Mat, Senjem, Matt, Bernstein, Matthew, Panizzon, Matthew S, Stern, Matthew, Becerra, Mauricio, Jansen, Iris E, Witbracht, Megan, Vernooij, Meike W, Brandabur, Melanie, Keltz, Melanie, Lamar, Melissa, Yang, Mia, Ahlijanian, Michael, Borrie, Michael, Neale, Michael C, Donohue, Michael, Jia, Tianye, Lyons, Michael J, Lin, Michael, Rapp, Michael, Smolka, Michael, Weiner, Michael W, Weiner, Michael, Figurski, Michal, Perron, Michel, Assaly, Michele, Luciano, Michelle, Jockwitz, Christiane, Rainka, Michelle, Dang, Mimi, Sheikh, Mohammed O, Ghanbari, Mohsen, Gaikwad, Mrunalini, Chowdhury, Munir, Trncic, Nadira, Amin, Najaf, Johnson, Nancy, Kanai, Ryota, Kowalksi, Nancy, Monahan, Nancy, Gillespie, Nathan A, Pacini, Nathaniel, Buckholtz, Neil, Kowall, Neil, Graff-Radford, Neill R, Fox, Nick, Pavese, Nicola, Karama, Sherif, Cairns, Nigel J, Schuff, Norbert, Foster, Norm, Relkin, Norman, Oyonumo, Ntekim E, Pomara, Nunzio, James, Olga, Ogunlana, Olu, Ching, Christopher R K, Kasperaviciute, Dalia, Carmichael, Owen, Doraiswamy, P Murali, Casalin, Paola, Barone, Paolo, Fatica, Parianne, Conrod, Patricia, Johnson, Patricia Lynn, Samuels, Patricia, Aisen, Paul, Malloy, Paul, Kaufmann, Tobias, Thompson, Paul, Ogrocki, Paula, Bezivin-Frere, Pauline, Maillard, Pauline, Fontoura, Paulo, Taylor, Peggy, Hogarth, Penelope, Gowland, Penny, Davies, Peter, Kelly, Sinead, Hardy, Peter, Snyder, Peter J, Snyder, Peter, Amouyel, Philippe, Muglia, Pierandrea, Tariot, Pierre, Lu, Po H, Varma, Pradeep, Vemuri, Prashanthi, Kikuchi, Masataka, Doody, Rachelle S, Carter, Raina, Shah, Raj C, Griffith, Randall, Yeh, Randy, Duara, Ranjan, Tarawneh, Rawan, James, Raymond, Turner, Raymond Scott, Klein, Marieke, Hernando, Raymundo, Silverstein, Rebecca, Sperling, Reisa A, Wilson, Renee, Carson, Richard E, Frank, Richard, El Khouli, Riham, Koeppe, Robert A, Santulli, Robert B, Knapp, Michael, Hauser, Robert, Umek, Robert, Radtke, Rodney, Killiany, Ronald, Petersen, Ronald, Rodriguez, Rosemarie, Miranda, Ruben, Knodt, Annchen R, Bruehl, Ruediger, Xia, Rui, Swerdlow, Russell H, Ottmann, Ruth, Millenet, Sabina, Borges-Neto, Salvador, Frank, Samuel, Black, Sandra, Weintraub, Sandra, Obradov, Sanja, Krämer, Bernd, Asthana, Sanjay, Vaishnavi, Sanjeev, Dolen, Sara, Mason, Sara S, Hohmann, Sarah, Kremen, Sarah, Miller, Sarah, Walter, Sarah, Herring, Scott, Neu, Scott, Lam, Max, Aydin, Semiha, Ahmad, Shahzad, Harlan, Sherry, Sirrel, Sherye A, Lasch, Shirley, Hu, Shu-Ching, Li, Shuo, Kittur, Smita, Chowdhury, Sohini, Lancaster, Thomas M, Pawluczyk, Sonia, Maingault, Sophie, Schneider, Stacy, Seiler, Stephan, Guthrie, Stephanie, Kielb, Stephanie, Reeder, Stephanie, Correia, Stephen, Pasternak, Stephen, McMahon, Mary Agnes B, Lee, Phil H, Salloway, Stephen, Johnson, Sterling, Williams, Steve, Chao, Steven, Arnold, Steven E, Paul, Steven, Potkin, Steven, Factor, Stewart, Isaacson, Stuart, Lett, Tristram A, Kim, Sungeun, Ainscough, Susan, Schultz, Susan K, Landau, Susan, Mendick, Susan, Rountree, Susan, Ostrowizki, Suzanne, Veillette, Suzanne, van der Lee, Sven J, Desrivieres, Sylvane, Lewis, Lindsay B, Lee, T-Y, Simuni, Tanya, Foroud, Tatiana, Foroud, Tatiana M, Wong, Terence Z, Villena, Teresa, Comery, Thomas, Obisesan, Thomas O, Lopes-Cendes, Iscia, Banaschewski, Tobias, Sherer, Todd, Montine, Tom, Paus, Tomáš, Robbins, Trevor, Bromberg, Uli, Völker, Uwe, Pavlik, Valory, Arnedo, Vanessa, Kiyasova, Vera, Bates, Vernice, Logovinsky, Veronika, Sossi, Vesna, Shibley, Victoria, Frouin, Vincent, Lee, Virginia, Poewe, Werner, Jagust, William, Brooks, William M, Macciardi, Fabio, Pavlosky, William, Potter, William, Kremen, William S, Longstreth, William T, Niessen, Wiro J, Jian, Xueqiu, Stern, Yaakov, Saba, Yasaman, Cabrera, Yuliana, Grimmer, Yvonne, Marquand, Andre F, Khachaturian, Zaven, Mari, Zoltan, Mathias, Samuel R, Melzer, Tracy R, Milaneschi, Yuri, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Guided Treatment in Optimal Selected Cancer Patients (GUTS), Clinical Cognitive Neuropsychiatry Research Program (CCNP), Movement Disorder (MD), Alzheimer’s Disease Neuroimaging Initiative, CHARGE Consortium, EPIGEN Consortium, IMAGEN Consortium, SYS Consortium, Parkinson’s Progression Markers Initiative, Stochastics, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Mental Health, Science and Society, Cognitive Psychology, IBBA, APH - Personalized Medicine, Complex Trait Genetics, APH - Methodology, Clinical Neuropsychology, Sociology and Social Gerontology, Amsterdam Neuroscience - Complex Trait Genetics, RS: MHeNs - R2 - Mental Health, Psychiatrie & Neuropsychologie, Klinische Genetica, RS: GROW - R4 - Reproductive and Perinatal Medicine, MUMC+: DA Klinische Genetica (5), Neurology, Psychiatry, Pediatric surgery, Amsterdam Reproduction & Development (AR&D), Human genetics, APH - Digital Health, Psychology, Precision Medicine Institute of Psychiatry, Child and Adolescent Psychiatry / Psychology, Radiology & Nuclear Medicine, Clinical Genetics, Epidemiology, Medical Informatics, Service NEUROSPIN (NEUROSPIN), Université Paris-Saclay-Direction de Recherche Fondamentale (CEA) (DRF (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Neurodegeneratives Diseases Institute (IMN-UMR CNRS 5293), Centre National de la Recherche Scientifique (CNRS), General Paediatrics, ARD - Amsterdam Reproduction and Development, Direction de Recherche Fondamentale (CEA) (DRF (CEA)), and Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay
Subjects: 0301 basic medicine, Netherlands Twin Register (NTR), [SDV]Life Sciences [q-bio], LOCI, Genome-wide association study, Brain mapping, 0302 clinical medicine, Cognition, Cortex (anatomy), ComputingMilieux_MISCELLANEOUS, Cerebral Cortex, 0303 health sciences, Brain Mapping, Multidisciplinary, COMMON VARIANTS, Parkinson Disease, Organ Size, Central sulcus, Magnetic Resonance Imaging, medicine.anatomical_structure, Cerebral cortex, Neuroinformatics, EXPRESSION, endocrine system, central sulcus, SURFACE-AREA, Biology, Article, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Genetic variation, medicine, Attention deficit hyperactivity disorder, Humans, General, Gene, METAANALYSIS, 030304 developmental biology, Progenitor, CORTICAL SULCI, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], Genetic variants, Genetic Variation, Attention Deficit Disorder with Hyperactivity, Genetic Loci, Genome-Wide Association Study, functional annotation, medicine.disease, Genetic architecture, 030104 developmental biology, Evolutionary biology, OBSERVER-INDEPENDENT CHARACTERIZATION, Multiple comparisons problem, ddc:320, genome-wide association, Neuroscience, 030217 neurology & neurosurgery
Abstract: Enhancing NeuroImaging Genetics through Meta-Analysis Consortium (ENIGMA)—Genetics working group., The cerebral cortex underlies our complex cognitive capabilities, yet little is known about the specific genetic loci that influence human cortical structure. To identify genetic variants that affect cortical structure, we conducted a genome-wide association meta-analysis of brain magnetic resonance imaging data from 51,665 individuals. We analyzed the surface area and average thickness of the whole cortex and 34 regions with known functional specializations. We identified 199 significant loci and found significant enrichment for loci influencing total surface area within regulatory elements that are active during prenatal cortical development, supporting the radial unit hypothesis. Loci that affect regional surface area cluster near genes in Wnt signaling pathways, which influence progenitor expansion and areal identity. Variation in cortical structure is genetically correlated with cognitive function, Parkinson's disease, insomnia, depression, neuroticism, and attention deficit hyperactivity disorder.
Published: 2020

30. Metabolite cycled liver 1 H MRS on a 7 T parallel transmit system

Author: Highfield Research Group, Cancer, Divisie Beeld, Brain, Circulatory Health, Regenerative Medicine and Stem Cells, Xavier, Aline, Arteaga de Castro, Catalina, Andia, Marcelo E, Luijten, Peter R, Klomp, Dennis W, Fillmer, Ariane, Prompers, Jeanine J, Highfield Research Group, Cancer, Divisie Beeld, Brain, Circulatory Health, Regenerative Medicine and Stem Cells, Xavier, Aline, Arteaga de Castro, Catalina, Andia, Marcelo E, Luijten, Peter R, Klomp, Dennis W, Fillmer, Ariane, and Prompers, Jeanine J
Published: 2020

31. In vivo detection of teriflunomide-derived fluorine signal during neuroinflammation using fluorine MR spectroscopy

Author: Prinz, Christian, primary, Starke, Ludger, additional, Millward, Jason M., additional, Fillmer, Ariane, additional, Delgado, Paula Ramos, additional, Waiczies, Helmar, additional, Pohlmann, Andreas, additional, Rothe, Michael, additional, Nazaré, Marc, additional, Paul, Friedemann, additional, Niendorf, Thoralf, additional, and Waiczies, Sonia, additional
Published: 2021
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32. Assessment of measurement precision in single‐voxel spectroscopy at 7 T: Toward minimal detectable changes of metabolite concentrations in the human brain in vivo.

Author: Riemann, Layla Tabea, Aigner, Christoph Stefan, Ellison, Stephen L. R., Brühl, Rüdiger, Mekle, Ralf, Schmitter, Sebastian, Speck, Oliver, Rose, Georg, Ittermann, Bernd, and Fillmer, Ariane
Subjects: SPECTROMETRY, STATISTICAL reliability, EXPERIMENTAL design, MEASUREMENT, STATISTICS
Abstract: Purpose: To introduce a study design and statistical analysis framework to assess the repeatability, reproducibility, and minimal detectable changes (MDCs) of metabolite concentrations determined by in vivo MRS. Methods: An unbalanced nested study design was chosen to acquire in vivo MRS data within different repeatability and reproducibility scenarios. A spin‐echo, full‐intensity acquired localized (SPECIAL) sequence was employed at 7 T utlizing three different inversion pulses: a hyperbolic secant (HS), a gradient offset independent adiabaticity (GOIA), and a wideband, uniform rate, smooth truncation (WURST) pulse. Metabolite concentrations, Cramér‐Rao lower bounds (CRLBs) and coefficients of variation (CVs) were calculated. Both Bland‐Altman analysis and a restricted maximum‐likelihood estimation (REML) analysis were performed to estimate the different variance contributions of the repeatability and reproducibility of the measured concentration. A Bland‐Altmann analysis of the spectral shape was performed to assess the variance of the spectral shape, independent of quantification model influences. Results: For the used setup, minimal detectable changes of brain metabolite concentrations were found to be between 0.40 µmol/g and 2.23 µmol/g. CRLBs account for only 16 % to 74 % of the total variance of the metabolite concentrations. The application of gradient‐modulated inversion pulses in SPECIAL led to slightly improved repeatability, but overall reproducibility appeared to be limited by differences in positioning, calibration, and other day‐to‐day variations throughout different sessions. Conclusion: A framework is introduced to estimate the precision of metabolite concentrations obtained by MRS in vivo, and the minimal detectable changes for 13 metabolite concentrations measured at 7 T using SPECIAL are obtained. [ABSTRACT FROM AUTHOR]
Published: 2022
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33. Metabolite cycled liver 1 H MRS on a 7 T parallel transmit system

Author: Xavier, Aline, primary, Arteaga de Castro, Catalina, additional, Andia, Marcelo E., additional, Luijten, Peter R., additional, Klomp, Dennis W., additional, Fillmer, Ariane, additional, and Prompers, Jeanine J., additional
Published: 2020
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34. Pentafluorosulfanyl (SF5) as a Superior 19F Magnetic Resonance Reporter Group: Signal Detection and Biological Activity of Teriflunomide Derivatives.

Author: Prinz, Christian, Starke, Ludger, Ramspoth, Tizian-Frank, Kerkering, Janis, Martos Riaño, Vera, Paul, Jérôme, Neuenschwander, Martin, Oder, Andreas, Radetzki, Silke, Adelhoefer, Siegfried, Ramos Delgado, Paula, Aravina, Mariya, Millward, Jason M., Fillmer, Ariane, Paul, Friedemann, Siffrin, Volker, von Kries, Jens-Peter, Niendorf, Thoralf, Nazaré, Marc, and Waiczies, Sonia
Published: 2021
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35. European Ultrahigh-Field Imaging Network for Neurodegenerative Diseases (EUFIND)

Author: Zorglijn AN/AAN Medisch, Brain, Circulatory Health, MS Radiologie, Researchgr. Neuroradiologie, Onderzoek Beeld, Highfield Research Group, Regenerative Medicine and Stem Cells, Cancer, Düzel, Emrah, Acosta-Cabronero, Julio, Berron, David, Biessels, Geert Jan, Björkman-Burtscher, Isabella, Bottlaender, Michel, Bowtell, Richard, Buchem, Mark V, Cardenas-Blanco, Arturo, Boumezbeur, Fawzi, Chan, Dennis, Clare, Stuart, Costagli, Mauro, de Rochefort, Ludovic, Fillmer, Ariane, Gowland, Penny, Hansson, Oskar, Hendrikse, Jeroen, Kraff, Oliver, Ladd, Mark E, Ronen, Itamar, Petersen, Esben, Rowe, James B, Siebner, Hartwig, Stoecker, Tony, Straub, Sina, Tosetti, Michela, Uludag, Kamil, Vignaud, Alexandre, Zwanenburg, Jaco, Speck, Oliver, Zorglijn AN/AAN Medisch, Brain, Circulatory Health, MS Radiologie, Researchgr. Neuroradiologie, Onderzoek Beeld, Highfield Research Group, Regenerative Medicine and Stem Cells, Cancer, Düzel, Emrah, Acosta-Cabronero, Julio, Berron, David, Biessels, Geert Jan, Björkman-Burtscher, Isabella, Bottlaender, Michel, Bowtell, Richard, Buchem, Mark V, Cardenas-Blanco, Arturo, Boumezbeur, Fawzi, Chan, Dennis, Clare, Stuart, Costagli, Mauro, de Rochefort, Ludovic, Fillmer, Ariane, Gowland, Penny, Hansson, Oskar, Hendrikse, Jeroen, Kraff, Oliver, Ladd, Mark E, Ronen, Itamar, Petersen, Esben, Rowe, James B, Siebner, Hartwig, Stoecker, Tony, Straub, Sina, Tosetti, Michela, Uludag, Kamil, Vignaud, Alexandre, Zwanenburg, Jaco, and Speck, Oliver
Published: 2019

36. Advanced single voxel 1H magnetic resonance spectroscopy techniques in humans: Experts' consensus recommendations.

Author: Öz, Gülin, Deelchand, Dinesh K., Wijnen, Jannie P., Mlynárik, Vladimír, Xin, Lijing, Mekle, Ralf, Noeske, Ralph, Scheenen, Tom W.J., Tkáč, Ivan, Andronesi, Ovidiu, Barker, Peter B., Bartha, Robert, Berrington, Adam, Boer, Vincent, Cudalbu, Christina, Emir, Uzay E., Ernst, Thomas, Fillmer, Ariane, Heerschap, Arend, and Henry, Pierre‐Gilles
Subjects: NUCLEAR magnetic resonance spectroscopy, WATER efficiency
Abstract: Conventional proton MRS has been successfully utilized to noninvasively assess tissue biochemistry in conditions that result in large changes in metabolite levels. For more challenging applications, namely, in conditions which result in subtle metabolite changes, the limitations of vendor‐provided MRS protocols are increasingly recognized, especially when used at high fields (≥3 T) where chemical shift displacement errors, B0 and B1 inhomogeneities and limitations in the transmit B1 field become prominent. To overcome the limitations of conventional MRS protocols at 3 and 7 T, the use of advanced MRS methodology, including pulse sequences and adjustment procedures, is recommended. Specifically, the semiadiabatic LASER sequence is recommended when TE values of 25‐30 ms are acceptable, and the semiadiabatic SPECIAL sequence is suggested as an alternative when shorter TE values are critical. The magnetic field B0 homogeneity should be optimized and RF pulses should be calibrated for each voxel. Unsuppressed water signal should be acquired for eddy current correction and preferably also for metabolite quantification. Metabolite and water data should be saved in single shots to facilitate phase and frequency alignment and to exclude motion‐corrupted shots. Final averaged spectra should be evaluated for SNR, linewidth, water suppression efficiency and the presence of unwanted coherences. Spectra that do not fit predefined quality criteria should be excluded from further analysis. Commercially available tools to acquire all data in consistent anatomical locations are recommended for voxel prescriptions, in particular in longitudinal studies. To enable the larger MRS community to take advantage of these advanced methods, a list of resources for these advanced protocols on the major clinical platforms is provided. Finally, a set of recommendations are provided for vendors to enable development of advanced MRS on standard platforms, including implementation of advanced localization sequences, tools for quality assurance on the scanner, and tools for prospective volume tracking and dynamic linear shim corrections. [ABSTRACT FROM AUTHOR]
Published: 2021
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37. P2-615: INNOVATIVE MEASUREMENTS FOR IMPROVED DIAGNOSIS AND MANAGEMENT OF NEURODEGENERATIVE DISEASES

Author: Cryar, Adam, primary, Cano, Stefan, additional, Deane, Katherine, additional, Delatour, Vincent, additional, Divieto, Carla, additional, Fillmer, Ariane, additional, Göschel, Laura, additional, Lehmann, Sylvain, additional, Melin, Jeanette, additional, Pang, Susan, additional, Pendrill, Leslie, additional, Verona, Guglielmo, additional, and Quaglia, Milena, additional
Published: 2019
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38. P3-400: MYOINOSITOL CONCENTRATION AND VOLUME OF THE POSTERIOR CINGULATE CORTEX ACROSS THE AD CONTINUUM MEASURED BY 7T MRI/MRS

Author: Göschel, Laura, primary, Köbe, Theresa, additional, Wang, Hui, additional, Aydin, Semiha, additional, Ittermann, Bernd, additional, Fillmer, Ariane, additional, and Flöel, Agnes, additional
Published: 2019
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39. Metabolite cycled liver 1H MRS on a 7 T parallel transmit system.

Author: Xavier, Aline, Arteaga de Castro, Catalina, Andia, Marcelo E., Luijten, Peter R., Klomp, Dennis W., Fillmer, Ariane, and Prompers, Jeanine J.
Subjects: LIVER, DIPOLE antennas, WATER vapor, WATER use, STATISTICAL reliability
Abstract: Introduction: Single‐voxel 1H MRS in body applications often suffers from respiratory and other motion induced phase and frequency shifts, which lead to incoherent averaging and hence to suboptimal results. Methods: Here we show the application of metabolite cycling (MC) for liver STEAM‐localized 1H MRS on a 7 T parallel transmit system, using eight transmit‐receive fractionated dipole antennas with 16 additional, integrated receive loops. MC‐STEAM measurements were made in six healthy, lean subjects and compared with STEAM measurements using VAPOR water suppression. Measurements were performed during free breathing and during synchronized breathing, for which the subjects did breathe in between the MRS acquisitions. Both intra‐session repeatability and inter‐session reproducibility of liver lipid quantification with MC‐STEAM and VAPOR‐STEAM were determined. Results: The preserved water signal in MC‐STEAM allowed for robust phase and frequency correction of individual acquisitions before averaging, which resulted in in vivo liver spectra that were of equal quality when measurements were made with free breathing or synchronized breathing. Intra‐session repeatability and inter‐session reproducibility of liver lipid quantification were better for MC‐STEAM than for VAPOR‐STEAM. This may also be explained by the more robust phase and frequency correction of the individual MC‐STEAM acquisitions as compared with the VAPOR‐STEAM acquisitions, for which the low‐signal‐to‐noise ratio lipid signals had to be used for the corrections. Conclusion: Non‐water‐suppressed MC‐STEAM on a 7 T system with parallel transmit is a promising approach for 1H MRS applications in the body that are affected by motion, such as in the liver, and yields better repeatability and reproducibility compared with water‐suppressed measurements. [ABSTRACT FROM AUTHOR]
Published: 2020
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40. P3‐356: NEGATIVE RELATIONSHIP BETWEEN DECLARATIVE MEMORY PERFORMANCE AND HIPPOCAMPAL VOLUME EXTRACTED FROM 7 TESLA MR IMAGES OF HEALTHY OLDER ADULTS

Author: Göschel, Laura, primary, Köbe, Theresa, additional, Wang, Hui, additional, Fillmer, Ariane, additional, Aydin, Semiha, additional, and Flöel, Agnes, additional
Published: 2018
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41. P3‐442: CEREBRAL GABA, RESTING‐STATE FUNCTIONAL CONNECTIVITY AND MEMORY FUNCTION IN ALZHEIMER'S DISEASE

Author: Köbe, Theresa, primary, Wang, Hui, additional, Göschel, Laura, additional, Aydin, Semiha, additional, Ittermann, Bernd, additional, Flöel, Agnes, additional, and Fillmer, Ariane, additional
Published: 2018
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42. P2‐233: BETTER MEASUREMENT FOR IMPROVED DIAGNOSIS AND MANAGEMENT OF ALZHEIMER'S DISEASE: UPDATE ON THE EMPIR NEUROMET PROJECT

Author: Quaglia, Milena, primary, Bellotti, Vittorio, additional, Cano, Stefan, additional, Cryar, Adam, additional, Deane, Katherine, additional, Divieto, Carla, additional, Fillmer, Ariane, additional, Giangrande, Chiara, additional, Köbe, Theresa, additional, Lehmann, Sylvain, additional, Melin, Jeanette, additional, Pang, Susan, additional, Parkes, Helen, additional, and Pendrill, Leslie, additional
Published: 2018
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43. Non-Water-Suppressed 1H MR Spectroscopy with Orientational Prior Knowledge Shows Potential for Separating Intra- and Extramyocellular Lipid Signals in Human Myocardium

Author: Fillmer, Ariane, primary, Hock, Andreas, additional, Cameron, Donnie, additional, and Henning, Anke, additional
Published: 2017
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44. Non-Water-Suppressed 1H MR Spectroscopy with Orientational Prior Knowledge Shows Potential for Separating Intra- and Extramyocellular Lipid Signals in Human Myocardium

Author: Fillmer, Ariane; https://orcid.org/0000-0003-3333-6603, Hock, Andreas, Cameron, Donnie, Henning, Anke, Fillmer, Ariane; https://orcid.org/0000-0003-3333-6603, Hock, Andreas, Cameron, Donnie, and Henning, Anke
Abstract: Conditions such as type II diabetes are linked with elevated lipid levels in the heart, and significantly increased risk of heart failure; however, metabolic processes underlying the development of cardiac disease in type II diabetes are not fully understood. Here we present a non-invasive method for in vivo investigation of cardiac lipid metabolism: namely, IVS-McPRESS. This technique uses metabolite-cycled, non-water suppressed 1H cardiac magnetic resonance spectroscopy with prospective and retrospective motion correction. High-quality IVS-McPRESS data acquired from healthy volunteers allowed us to investigate the frequency shift of extramyocellular lipid signals, which depends on the myocardial fibre orientation. Assuming consistent voxel positioning relative to myofibres, the myofibre angle with the magnetic field was derived from the voxel orientation. For separation and individual analysis of intra- and extramyocellular lipid signals, the angle myocardial fibres in the spectroscopy voxel take with the magnetic field should be within ±24.5°. Metabolite and lipid concentrations were analysed with respect to BMI. Significant correlations between BMI and unsaturated fatty acids in intramyocellular lipids, and methylene groups in extramyocellular lipids were found. The proposed IVS-McPRESS technique enables non-invasive investigation of cardiac lipid metabolism and may thus be a useful tool to study healthy and pathological conditions.
Published: 2017

45. Dielectric response of deeply supercooled hydration water in the connective tissue proteins collagen and elastin

Author: Catalin Gainaru, Takatani, Tait, Hohenstein, Edward G., Fillmer, Ariane, and Bohmer, Roland
Subjects: Collagen -- Structure, Collagen -- Chemical properties, Elastin -- Structure, Elastin -- Chemical properties, Hydration (Chemistry) -- Analysis, Chemicals, plastics and rubber industries
Published: 2009

46. A comparison of optimization algorithms for localized in vivo B0 shimming

Author: Nassirpour, Sahar, primary, Chang, Paul, additional, Fillmer, Ariane, additional, and Henning, Anke, additional
Published: 2017
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47. Session 37: Young investigator forum

Author: Gallas, Raya Roshana, primary, Hackel, Thomas, additional, Fillmer, Ariane, additional, and Kapsch, Ralf-Peter, additional
Published: 2017
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48. Reduction of voxel bleeding in highly accelerated parallel 1H MRSI by direct control of the spatial response function

Author: Kirchner, Thomas, Fillmer, Ariane, Tsao, Jeffrey, Pruessmann, Klaas Paul, Henning, Anke, University of Zurich, and Henning, Anke
Subjects: 170 Ethics, Radiology Nuclear Medicine and imaging, 2741 Radiology, Nuclear Medicine and Imaging, 610 Medicine & health, 10237 Institute of Biomedical Engineering
Abstract: Purpose To substantially improve spatial localization in magnetic resonance spectroscopic imaging (MRSI) accelerated by parallel imaging. This is important in order to make MRSI more reliable as a tool for clinical applications. Methods The sensitivity encoding acceleration technique with spatial overdiscretization is applied for the reconstruction of parallel MRSI. In addition, the spatial response function is optimized by minimizing its deviation from a previously chosen target function. This modified minimum-norm sensitivity encoding-MRSI reconstruction approach is applied in this article for in vivo pulse-acquire MRSI of human brain at 7T with simulated acceleration factors of 2, 4, and 9 as well as actual 4-fold accelerated MRSI. Results The sidelobes of the spatial response function are significantly suppressed, which reduces far-reaching voxel bleeding. At the same time, the major enlargement of the effective voxel size, which would be introduced by conventional k-space apodization methods, is largely avoided. Regularization allows for a practical trade-off between noise minimization, effective voxel size, and unaliasing. Although not aiming at increasing the nominal spatial resolution, a better spatial specificity is achieved. Conclusion Simultaneous suppression of short- and far-reaching voxel bleeding in MRSI is analyzed and reconstruction of highly accelerated parallel in vivo MRSI is demonstrated.
Published: 2015

49. Hardware and Algorithmic Advances in B₀ Shimming for High and Ultra-High Field MRI and MRS

Author: Fillmer, Ariane, Rudin, Markus, and Henning, Anke
Subjects: STRONG MAGNETIC FIELDS (MAGNETISM), NUCLEAR MAGNETIC RESONANCE IMAGING + NUCLEAR MAGNETIC RESONANCE TOMOGRAPHY (MEDICAL DIAGNOSTICS), KERNRESONANZSPEKTROSKOPIE (BIOLOGISCHE TECHNIKEN), STARKE MAGNETFELDER (MAGNETISMUS), KERNSPINRESONANZ-ABBILDUNGSVERFAHREN + KERNSPINRESONANZ-TOMOGRAPHIE (MEDIZINISCHE DIAGNOSTIK), NUCLEAR MAGNETIC RESONANCE SPECTROSCOPY (BIOLOGICAL TECHNIQUES), ddc:610, Medical sciences, medicine
Published: 2015

50. Mechanisms of SNR and line shape improvement by B 0 correction in overdiscrete MRSI reconstruction

Author: Kirchner, Thomas, primary, Fillmer, Ariane, additional, and Henning, Anke, additional
Published: 2016
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131 results on '"Fillmer, Ariane"'

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