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Doppler CEJ, Seger A, Farrher E, Régio Brambilla C, Hensel L, Filss CP, Hellmich M, Gogishvili A, Shah NJ, Lerche CW, Neumaier B, Langen KJ, Fink GR, Sommerauer M. Glutamate Signaling in Patients With Parkinson Disease With REM Sleep Behavior Disorder. Neurology 2024; 102:e209271. [PMID: 38630966 DOI: 10.1212/wnl.0000000000209271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/19/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Clinical heterogeneity of patients with Parkinson disease (PD) is well recognized. PD with REM sleep behavior disorder (RBD) is a more malignant phenotype with faster motor progression and higher nonmotor symptom burden. However, the neural mechanisms underlying this clinical divergence concerning imbalances in neurotransmitter systems remain elusive. METHODS Combining magnetic resonance (MR) spectroscopy and [11C]ABP688 PET on a PET/MR hybrid system, we simultaneously investigated two different mechanisms of glutamate signaling in patients with PD. Patients were grouped according to their RBD status in overnight video-polysomnography and compared with age-matched and sex-matched healthy control (HC) participants. Total volumes of distribution (VT) of [11C]ABP688 were estimated with metabolite-corrected plasma concentrations during steady-state conditions between 45 and 60 minutes of the scan following a bolus-infusion protocol. Glutamate, glutamine, and glutathione levels were investigated with single-voxel stimulated echo acquisition mode MR spectroscopy of the left basal ganglia. RESULTS We measured globally elevated VT of [11C]ABP688 in 16 patients with PD and RBD compared with 17 patients without RBD and 15 HC participants (F(2,45) = 5.579, p = 0.007). Conversely, glutamatergic metabolites did not differ between groups and did not correlate with the regional VT of [11C]ABP688. VT of [11C]ABP688 correlated with the amount of REM sleep without atonia (F(1,42) = 5.600, p = 0.023) and with dopaminergic treatment response in patients with PD (F(1,30) = 5.823, p = 0.022). DISCUSSION Our results suggest that patients with PD and RBD exhibit altered glutamatergic signaling indicated by higher VT of [11C]ABP688 despite unaffected glutamate levels. The imbalance of glutamate receptors and MR spectroscopy glutamate metabolite levels indicates a novel mechanism contributing to the heterogeneity of PD and warrants further investigation of drugs targeting mGluR5.
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Affiliation(s)
- Christopher E J Doppler
- From the Cognitive Neuroscience (C.E.J.D., A.S., L.H., G.R.F., M.S.), Institute of Neuroscience and Medicine (INM-3), Forschungszentrum Jülich; Department of Neurology (C.E.J.D., A.S., L.H., G.R.F., M.S.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Köln; Institute of Neuroscience and Medicine (INM-4) (E.F., C.R.B., A.G., N.J.S., C.W.L., K.-J.L.), Forschungszentrum Jülich; Department of Nuclear Medicine (C.P.F., K.-J.L.), RWTH University Hospital, Aachen; Institute of Medical Statistics and Computational Biology (M.H.), Faculty of Medicine and University Hospital of Cologne, University of Cologne; Faculty of Medicine (A.G.), RWTH Aachen University, Germany; Engineering Physics Department (A.G.), Georgian Technical University, Tbilisi, Georgia; Institute of Neuroscience and Medicine (INM-11) (N.J.S.), Molecular Neuroscience and Neuroimaging, JARA, Forschungszentrum Jülich; JARA-BRAIN-Translational Medicine (N.J.S.), Aachen; Department of Neurology (N.J.S.), RWTH Aachen University; and Institute of Neuroscience and Medicine (INM-5) (B.N.), Forschungszentrum Jülich, Germany
| | - Aline Seger
- From the Cognitive Neuroscience (C.E.J.D., A.S., L.H., G.R.F., M.S.), Institute of Neuroscience and Medicine (INM-3), Forschungszentrum Jülich; Department of Neurology (C.E.J.D., A.S., L.H., G.R.F., M.S.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Köln; Institute of Neuroscience and Medicine (INM-4) (E.F., C.R.B., A.G., N.J.S., C.W.L., K.-J.L.), Forschungszentrum Jülich; Department of Nuclear Medicine (C.P.F., K.-J.L.), RWTH University Hospital, Aachen; Institute of Medical Statistics and Computational Biology (M.H.), Faculty of Medicine and University Hospital of Cologne, University of Cologne; Faculty of Medicine (A.G.), RWTH Aachen University, Germany; Engineering Physics Department (A.G.), Georgian Technical University, Tbilisi, Georgia; Institute of Neuroscience and Medicine (INM-11) (N.J.S.), Molecular Neuroscience and Neuroimaging, JARA, Forschungszentrum Jülich; JARA-BRAIN-Translational Medicine (N.J.S.), Aachen; Department of Neurology (N.J.S.), RWTH Aachen University; and Institute of Neuroscience and Medicine (INM-5) (B.N.), Forschungszentrum Jülich, Germany
| | - Ezequiel Farrher
- From the Cognitive Neuroscience (C.E.J.D., A.S., L.H., G.R.F., M.S.), Institute of Neuroscience and Medicine (INM-3), Forschungszentrum Jülich; Department of Neurology (C.E.J.D., A.S., L.H., G.R.F., M.S.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Köln; Institute of Neuroscience and Medicine (INM-4) (E.F., C.R.B., A.G., N.J.S., C.W.L., K.-J.L.), Forschungszentrum Jülich; Department of Nuclear Medicine (C.P.F., K.-J.L.), RWTH University Hospital, Aachen; Institute of Medical Statistics and Computational Biology (M.H.), Faculty of Medicine and University Hospital of Cologne, University of Cologne; Faculty of Medicine (A.G.), RWTH Aachen University, Germany; Engineering Physics Department (A.G.), Georgian Technical University, Tbilisi, Georgia; Institute of Neuroscience and Medicine (INM-11) (N.J.S.), Molecular Neuroscience and Neuroimaging, JARA, Forschungszentrum Jülich; JARA-BRAIN-Translational Medicine (N.J.S.), Aachen; Department of Neurology (N.J.S.), RWTH Aachen University; and Institute of Neuroscience and Medicine (INM-5) (B.N.), Forschungszentrum Jülich, Germany
| | - Cláudia Régio Brambilla
- From the Cognitive Neuroscience (C.E.J.D., A.S., L.H., G.R.F., M.S.), Institute of Neuroscience and Medicine (INM-3), Forschungszentrum Jülich; Department of Neurology (C.E.J.D., A.S., L.H., G.R.F., M.S.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Köln; Institute of Neuroscience and Medicine (INM-4) (E.F., C.R.B., A.G., N.J.S., C.W.L., K.-J.L.), Forschungszentrum Jülich; Department of Nuclear Medicine (C.P.F., K.-J.L.), RWTH University Hospital, Aachen; Institute of Medical Statistics and Computational Biology (M.H.), Faculty of Medicine and University Hospital of Cologne, University of Cologne; Faculty of Medicine (A.G.), RWTH Aachen University, Germany; Engineering Physics Department (A.G.), Georgian Technical University, Tbilisi, Georgia; Institute of Neuroscience and Medicine (INM-11) (N.J.S.), Molecular Neuroscience and Neuroimaging, JARA, Forschungszentrum Jülich; JARA-BRAIN-Translational Medicine (N.J.S.), Aachen; Department of Neurology (N.J.S.), RWTH Aachen University; and Institute of Neuroscience and Medicine (INM-5) (B.N.), Forschungszentrum Jülich, Germany
| | - Lukas Hensel
- From the Cognitive Neuroscience (C.E.J.D., A.S., L.H., G.R.F., M.S.), Institute of Neuroscience and Medicine (INM-3), Forschungszentrum Jülich; Department of Neurology (C.E.J.D., A.S., L.H., G.R.F., M.S.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Köln; Institute of Neuroscience and Medicine (INM-4) (E.F., C.R.B., A.G., N.J.S., C.W.L., K.-J.L.), Forschungszentrum Jülich; Department of Nuclear Medicine (C.P.F., K.-J.L.), RWTH University Hospital, Aachen; Institute of Medical Statistics and Computational Biology (M.H.), Faculty of Medicine and University Hospital of Cologne, University of Cologne; Faculty of Medicine (A.G.), RWTH Aachen University, Germany; Engineering Physics Department (A.G.), Georgian Technical University, Tbilisi, Georgia; Institute of Neuroscience and Medicine (INM-11) (N.J.S.), Molecular Neuroscience and Neuroimaging, JARA, Forschungszentrum Jülich; JARA-BRAIN-Translational Medicine (N.J.S.), Aachen; Department of Neurology (N.J.S.), RWTH Aachen University; and Institute of Neuroscience and Medicine (INM-5) (B.N.), Forschungszentrum Jülich, Germany
| | - Christian P Filss
- From the Cognitive Neuroscience (C.E.J.D., A.S., L.H., G.R.F., M.S.), Institute of Neuroscience and Medicine (INM-3), Forschungszentrum Jülich; Department of Neurology (C.E.J.D., A.S., L.H., G.R.F., M.S.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Köln; Institute of Neuroscience and Medicine (INM-4) (E.F., C.R.B., A.G., N.J.S., C.W.L., K.-J.L.), Forschungszentrum Jülich; Department of Nuclear Medicine (C.P.F., K.-J.L.), RWTH University Hospital, Aachen; Institute of Medical Statistics and Computational Biology (M.H.), Faculty of Medicine and University Hospital of Cologne, University of Cologne; Faculty of Medicine (A.G.), RWTH Aachen University, Germany; Engineering Physics Department (A.G.), Georgian Technical University, Tbilisi, Georgia; Institute of Neuroscience and Medicine (INM-11) (N.J.S.), Molecular Neuroscience and Neuroimaging, JARA, Forschungszentrum Jülich; JARA-BRAIN-Translational Medicine (N.J.S.), Aachen; Department of Neurology (N.J.S.), RWTH Aachen University; and Institute of Neuroscience and Medicine (INM-5) (B.N.), Forschungszentrum Jülich, Germany
| | - Martin Hellmich
- From the Cognitive Neuroscience (C.E.J.D., A.S., L.H., G.R.F., M.S.), Institute of Neuroscience and Medicine (INM-3), Forschungszentrum Jülich; Department of Neurology (C.E.J.D., A.S., L.H., G.R.F., M.S.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Köln; Institute of Neuroscience and Medicine (INM-4) (E.F., C.R.B., A.G., N.J.S., C.W.L., K.-J.L.), Forschungszentrum Jülich; Department of Nuclear Medicine (C.P.F., K.-J.L.), RWTH University Hospital, Aachen; Institute of Medical Statistics and Computational Biology (M.H.), Faculty of Medicine and University Hospital of Cologne, University of Cologne; Faculty of Medicine (A.G.), RWTH Aachen University, Germany; Engineering Physics Department (A.G.), Georgian Technical University, Tbilisi, Georgia; Institute of Neuroscience and Medicine (INM-11) (N.J.S.), Molecular Neuroscience and Neuroimaging, JARA, Forschungszentrum Jülich; JARA-BRAIN-Translational Medicine (N.J.S.), Aachen; Department of Neurology (N.J.S.), RWTH Aachen University; and Institute of Neuroscience and Medicine (INM-5) (B.N.), Forschungszentrum Jülich, Germany
| | - Ana Gogishvili
- From the Cognitive Neuroscience (C.E.J.D., A.S., L.H., G.R.F., M.S.), Institute of Neuroscience and Medicine (INM-3), Forschungszentrum Jülich; Department of Neurology (C.E.J.D., A.S., L.H., G.R.F., M.S.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Köln; Institute of Neuroscience and Medicine (INM-4) (E.F., C.R.B., A.G., N.J.S., C.W.L., K.-J.L.), Forschungszentrum Jülich; Department of Nuclear Medicine (C.P.F., K.-J.L.), RWTH University Hospital, Aachen; Institute of Medical Statistics and Computational Biology (M.H.), Faculty of Medicine and University Hospital of Cologne, University of Cologne; Faculty of Medicine (A.G.), RWTH Aachen University, Germany; Engineering Physics Department (A.G.), Georgian Technical University, Tbilisi, Georgia; Institute of Neuroscience and Medicine (INM-11) (N.J.S.), Molecular Neuroscience and Neuroimaging, JARA, Forschungszentrum Jülich; JARA-BRAIN-Translational Medicine (N.J.S.), Aachen; Department of Neurology (N.J.S.), RWTH Aachen University; and Institute of Neuroscience and Medicine (INM-5) (B.N.), Forschungszentrum Jülich, Germany
| | - N Jon Shah
- From the Cognitive Neuroscience (C.E.J.D., A.S., L.H., G.R.F., M.S.), Institute of Neuroscience and Medicine (INM-3), Forschungszentrum Jülich; Department of Neurology (C.E.J.D., A.S., L.H., G.R.F., M.S.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Köln; Institute of Neuroscience and Medicine (INM-4) (E.F., C.R.B., A.G., N.J.S., C.W.L., K.-J.L.), Forschungszentrum Jülich; Department of Nuclear Medicine (C.P.F., K.-J.L.), RWTH University Hospital, Aachen; Institute of Medical Statistics and Computational Biology (M.H.), Faculty of Medicine and University Hospital of Cologne, University of Cologne; Faculty of Medicine (A.G.), RWTH Aachen University, Germany; Engineering Physics Department (A.G.), Georgian Technical University, Tbilisi, Georgia; Institute of Neuroscience and Medicine (INM-11) (N.J.S.), Molecular Neuroscience and Neuroimaging, JARA, Forschungszentrum Jülich; JARA-BRAIN-Translational Medicine (N.J.S.), Aachen; Department of Neurology (N.J.S.), RWTH Aachen University; and Institute of Neuroscience and Medicine (INM-5) (B.N.), Forschungszentrum Jülich, Germany
| | - Christoph W Lerche
- From the Cognitive Neuroscience (C.E.J.D., A.S., L.H., G.R.F., M.S.), Institute of Neuroscience and Medicine (INM-3), Forschungszentrum Jülich; Department of Neurology (C.E.J.D., A.S., L.H., G.R.F., M.S.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Köln; Institute of Neuroscience and Medicine (INM-4) (E.F., C.R.B., A.G., N.J.S., C.W.L., K.-J.L.), Forschungszentrum Jülich; Department of Nuclear Medicine (C.P.F., K.-J.L.), RWTH University Hospital, Aachen; Institute of Medical Statistics and Computational Biology (M.H.), Faculty of Medicine and University Hospital of Cologne, University of Cologne; Faculty of Medicine (A.G.), RWTH Aachen University, Germany; Engineering Physics Department (A.G.), Georgian Technical University, Tbilisi, Georgia; Institute of Neuroscience and Medicine (INM-11) (N.J.S.), Molecular Neuroscience and Neuroimaging, JARA, Forschungszentrum Jülich; JARA-BRAIN-Translational Medicine (N.J.S.), Aachen; Department of Neurology (N.J.S.), RWTH Aachen University; and Institute of Neuroscience and Medicine (INM-5) (B.N.), Forschungszentrum Jülich, Germany
| | - Bernd Neumaier
- From the Cognitive Neuroscience (C.E.J.D., A.S., L.H., G.R.F., M.S.), Institute of Neuroscience and Medicine (INM-3), Forschungszentrum Jülich; Department of Neurology (C.E.J.D., A.S., L.H., G.R.F., M.S.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Köln; Institute of Neuroscience and Medicine (INM-4) (E.F., C.R.B., A.G., N.J.S., C.W.L., K.-J.L.), Forschungszentrum Jülich; Department of Nuclear Medicine (C.P.F., K.-J.L.), RWTH University Hospital, Aachen; Institute of Medical Statistics and Computational Biology (M.H.), Faculty of Medicine and University Hospital of Cologne, University of Cologne; Faculty of Medicine (A.G.), RWTH Aachen University, Germany; Engineering Physics Department (A.G.), Georgian Technical University, Tbilisi, Georgia; Institute of Neuroscience and Medicine (INM-11) (N.J.S.), Molecular Neuroscience and Neuroimaging, JARA, Forschungszentrum Jülich; JARA-BRAIN-Translational Medicine (N.J.S.), Aachen; Department of Neurology (N.J.S.), RWTH Aachen University; and Institute of Neuroscience and Medicine (INM-5) (B.N.), Forschungszentrum Jülich, Germany
| | - Karl-Josef Langen
- From the Cognitive Neuroscience (C.E.J.D., A.S., L.H., G.R.F., M.S.), Institute of Neuroscience and Medicine (INM-3), Forschungszentrum Jülich; Department of Neurology (C.E.J.D., A.S., L.H., G.R.F., M.S.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Köln; Institute of Neuroscience and Medicine (INM-4) (E.F., C.R.B., A.G., N.J.S., C.W.L., K.-J.L.), Forschungszentrum Jülich; Department of Nuclear Medicine (C.P.F., K.-J.L.), RWTH University Hospital, Aachen; Institute of Medical Statistics and Computational Biology (M.H.), Faculty of Medicine and University Hospital of Cologne, University of Cologne; Faculty of Medicine (A.G.), RWTH Aachen University, Germany; Engineering Physics Department (A.G.), Georgian Technical University, Tbilisi, Georgia; Institute of Neuroscience and Medicine (INM-11) (N.J.S.), Molecular Neuroscience and Neuroimaging, JARA, Forschungszentrum Jülich; JARA-BRAIN-Translational Medicine (N.J.S.), Aachen; Department of Neurology (N.J.S.), RWTH Aachen University; and Institute of Neuroscience and Medicine (INM-5) (B.N.), Forschungszentrum Jülich, Germany
| | - Gereon R Fink
- From the Cognitive Neuroscience (C.E.J.D., A.S., L.H., G.R.F., M.S.), Institute of Neuroscience and Medicine (INM-3), Forschungszentrum Jülich; Department of Neurology (C.E.J.D., A.S., L.H., G.R.F., M.S.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Köln; Institute of Neuroscience and Medicine (INM-4) (E.F., C.R.B., A.G., N.J.S., C.W.L., K.-J.L.), Forschungszentrum Jülich; Department of Nuclear Medicine (C.P.F., K.-J.L.), RWTH University Hospital, Aachen; Institute of Medical Statistics and Computational Biology (M.H.), Faculty of Medicine and University Hospital of Cologne, University of Cologne; Faculty of Medicine (A.G.), RWTH Aachen University, Germany; Engineering Physics Department (A.G.), Georgian Technical University, Tbilisi, Georgia; Institute of Neuroscience and Medicine (INM-11) (N.J.S.), Molecular Neuroscience and Neuroimaging, JARA, Forschungszentrum Jülich; JARA-BRAIN-Translational Medicine (N.J.S.), Aachen; Department of Neurology (N.J.S.), RWTH Aachen University; and Institute of Neuroscience and Medicine (INM-5) (B.N.), Forschungszentrum Jülich, Germany
| | - Michael Sommerauer
- From the Cognitive Neuroscience (C.E.J.D., A.S., L.H., G.R.F., M.S.), Institute of Neuroscience and Medicine (INM-3), Forschungszentrum Jülich; Department of Neurology (C.E.J.D., A.S., L.H., G.R.F., M.S.), Faculty of Medicine and University Hospital Cologne, University of Cologne, Köln; Institute of Neuroscience and Medicine (INM-4) (E.F., C.R.B., A.G., N.J.S., C.W.L., K.-J.L.), Forschungszentrum Jülich; Department of Nuclear Medicine (C.P.F., K.-J.L.), RWTH University Hospital, Aachen; Institute of Medical Statistics and Computational Biology (M.H.), Faculty of Medicine and University Hospital of Cologne, University of Cologne; Faculty of Medicine (A.G.), RWTH Aachen University, Germany; Engineering Physics Department (A.G.), Georgian Technical University, Tbilisi, Georgia; Institute of Neuroscience and Medicine (INM-11) (N.J.S.), Molecular Neuroscience and Neuroimaging, JARA, Forschungszentrum Jülich; JARA-BRAIN-Translational Medicine (N.J.S.), Aachen; Department of Neurology (N.J.S.), RWTH Aachen University; and Institute of Neuroscience and Medicine (INM-5) (B.N.), Forschungszentrum Jülich, Germany
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Issa ASM, Scheins J, Tellmann L, Brambilla CR, Lohmann P, Rota-Kops E, Herzog H, Neuner I, Shah NJ, Lerche C. Impact of improved dead time correction on the quantification accuracy of a dedicated BrainPET scanner. PLoS One 2024; 19:e0296357. [PMID: 38578749 PMCID: PMC10997125 DOI: 10.1371/journal.pone.0296357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 12/11/2023] [Indexed: 04/07/2024] Open
Abstract
OBJECTIVE Quantitative values derived from PET brain images are of high interest for neuroscientific applications. Insufficient DT correction (DTC) can lead to a systematic bias of the output parameters obtained by a detailed analysis of the time activity curves (TACs). The DTC method currently used for the Siemens 3T MR BrainPET insert is global, i.e., differences in DT losses between detector blocks are not considered, leading to inaccurate DTC and, consequently, to inaccurate measurements masked by a bias. However, following careful evaluation with phantom measurements, a new block-pairwise DTC method has demonstrated a higher degree of accuracy compared to the global DTC method. APPROACH Differences between the global and the block-pairwise DTC method were studied in this work by applying several radioactive tracers. We evaluated the impact on [11C]ABP688, O-(2-[18F]fluoroethyl)-L-tyrosine (FET), and [15O]H2O TACs. RESULTS For [11C]ABP688, a relevant bias of between -0.0034 and -0.0053 ml/ (cm3 • min) was found in all studied brain regions for the volume of distribution (VT) when using the current global DTC method. For [18F]FET-PET, differences of up to 10% were observed in the tumor-to-brain ratio (TBRmax), these differences depend on the radial distance of the maximum from the PET isocenter. For [15O]H2O, differences between +4% and -7% were observed in the GM region. Average biases of -4.58%, -3.2%, and -1.2% for the regional cerebral blood flow (CBF (K1)), the rate constant k2, and the volume of distribution VT were observed, respectively. Conversely, in the white matter region, average biases of -4.9%, -7.0%, and 3.8% were observed for CBF (K1), k2, and VT, respectively. CONCLUSION The bias introduced by the global DTC method leads to an overestimation in the studied quantitative parameters for all applications compared to the block-pairwise method. SIGNIFICANCE The observed differences between the two DTC methods are particularly relevant for research applications in neuroscientific studies as they affect the accuracy of quantitative Brain PET images.
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Affiliation(s)
- Ahlam Said Mohamad Issa
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Jülich, Germany
- JARA, BRAIN, Translational Medicine, Aachen, Germany
- Department of Neurology, Faculty of Medicine, RWTH Aachen University, Aachen, Germany
| | - Jürgen Scheins
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Jülich, Germany
| | - Lutz Tellmann
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Jülich, Germany
| | | | - Philipp Lohmann
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Jülich, Germany
| | - Elena Rota-Kops
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Jülich, Germany
| | - Hans Herzog
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Jülich, Germany
| | - Irene Neuner
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Jülich, Germany
- JARA, BRAIN, Translational Medicine, Aachen, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany
| | - N. Jon Shah
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Jülich, Germany
- JARA, BRAIN, Translational Medicine, Aachen, Germany
- Department of Neurology, Faculty of Medicine, RWTH Aachen University, Aachen, Germany
- Institute of Neuroscience and Medicine 11, INM-11, JARA, Forschungszentrum Jülich, Jülich, Germany
| | - Christoph Lerche
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Jülich, Germany
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Chen Q, Worthoff WA, Shah NJ. Accelerated multiple-quantum-filtered sodium magnetic resonance imaging using compressed sensing at 7 T. Magn Reson Imaging 2024; 107:138-148. [PMID: 38171423 DOI: 10.1016/j.mri.2023.12.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 07/17/2023] [Accepted: 12/28/2023] [Indexed: 01/05/2024]
Abstract
PURPOSE Multiple-quantum-filtered (MQF) sodium magnetic resonance imaging (MRI), such as enhanced single-quantum and triple-quantum-filtered imaging of 23Na (eSISTINA), enables images to be weighted towards restricted sodium, a promising biomarker in clinical practice, but often suffers from clinically infeasible acquisition times and low image quality. This study aims to mitigate the above limitation by implementing a novel eSISTINA sequence at 7 T with the application of compressed sensing (CS) to accelerate eSISTINA acquisitions without a noticeable loss of information. METHODS A novel eSISTINA sequence with a 3D spiral-based sampling scheme was implemented at 7 T for the application of CS. Fully sampled datasets were obtained from one phantom and ten healthy subjects, and were then retrospectively undersampled by various undersampling factors. CS undersampled reconstructions were compared to fully sampled and undersampled nonuniform fast Fourier transform (NUFFT) reconstructions. Reconstruction performance was evaluated based on structural similarity (SSIM), signal-to-noise ratio (SNR), weightings towards total and compartmental sodium, and in vivo quantitative estimates. RESULTS CS-based phantom and in vivo images have less noise and better structural delineation while maintaining the weightings towards total, non-restricted (predominantly extracellular), and restricted (primarily intracellular) sodium. CS generally outperforms NUFFT with a higher SNR and a better SSIM, except for the SSIM in TQ brain images, which is likely due to substantial noise contamination. CS enables in vivo quantitative estimates with <15% errors at an undersampling factor of up to two. CONCLUSIONS Successful implementation of an eSISTINA sequence with an incoherent sampling scheme at 7 T was demonstrated. CS can accelerate eSISTINA by up to twofold at 7 T with reduced noise levels compared to NUFFT, while maintaining major structural information, reasonable weightings towards total and compartmental sodium, and relatively reliable in vivo quantification. The associated reduction in acquisition time has the potential to facilitate the clinical applicability of MQF sodium MRI.
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Affiliation(s)
- Qingping Chen
- Institute of Neuroscience and Medicine - 4, Forschungszentrum Jülich GmbH, Jülich, Germany; Faculty of Medicine, RWTH Aachen University, Aachen, Germany
| | - Wieland A Worthoff
- Institute of Neuroscience and Medicine - 4, Forschungszentrum Jülich GmbH, Jülich, Germany.
| | - N Jon Shah
- Institute of Neuroscience and Medicine - 4, Forschungszentrum Jülich GmbH, Jülich, Germany; Institute of Neuroscience and Medicine - 11, Forschungszentrum Jülich GmbH, Jülich, Germany; JARA-BRAIN-Translational Medicine, Aachen, Germany; Department of Neurology, RWTH Aachen University, Aachen, Germany
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Yun SD, Küppers F, Shah NJ. Submillimeter fMRI Acquisition Techniques for Detection of Laminar and Columnar Level Brain Activation. J Magn Reson Imaging 2024; 59:747-766. [PMID: 37589385 DOI: 10.1002/jmri.28911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 07/07/2023] [Accepted: 07/07/2023] [Indexed: 08/18/2023] Open
Abstract
Since the first demonstration in the early 1990s, functional MRI (fMRI) has emerged as one of the most powerful, noninvasive neuroimaging tools to probe brain functions. Subsequently, fMRI techniques have advanced remarkably, enabling the acquisition of functional signals with a submillimeter voxel size. This innovation has opened the possibility of investigating subcortical neural activities with respect to the cortical depths or cortical columns. For this purpose, numerous previous works have endeavored to design suitable functional contrast mechanisms and dedicated imaging techniques. Depending on the choice of the functional contrast, functional signals can be detected with high sensitivity or with improved spatial specificity to the actual activation site, and the pertaining issues have been discussed in a number of earlier works. This review paper primarily aims to provide an overview of the subcortical fMRI techniques that allow the acquisition of functional signals with a submillimeter resolution. Here, the advantages and disadvantages of the imaging techniques will be described and compared. We also summarize supplementary imaging techniques that assist in the analysis of the subcortical brain activation for more accurate mapping with reduced geometric deformation. This review suggests that there is no single universally accepted method as the gold standard for subcortical fMRI. Instead, the functional contrast and the corresponding readout imaging technique should be carefully determined depending on the purpose of the study. Due to the technical limitations of current fMRI techniques, most subcortical fMRI studies have only targeted partial brain regions. As a future prospect, the spatiotemporal resolution of fMRI will be pushed to satisfy the community's need for a deeper understanding of whole-brain functions and the underlying connectivity in order to achieve the ultimate goal of a time-resolved and layer-specific spatial scale. EVIDENCE LEVEL: 1 TECHNICAL EFFICACY: Stage 1.
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Affiliation(s)
- Seong Dae Yun
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Jülich, Germany
| | - Fabian Küppers
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Jülich, Germany
- RWTH Aachen University, Aachen, Germany
- Institute of Neuroscience and Medicine 11, INM-11, JARA, Forschungszentrum Jülich, Jülich, Germany
| | - N Jon Shah
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Jülich, Germany
- Institute of Neuroscience and Medicine 11, INM-11, JARA, Forschungszentrum Jülich, Jülich, Germany
- JARA - BRAIN - Translational Medicine, Aachen, Germany
- Department of Neurology, RWTH Aachen University, Aachen, Germany
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Lohmann P, Gutsche R, Werner JM, Shah NJ, Langen KJ, Galldiks N. Example of Artificial Intelligence-Based Decision Support for Amino Acid PET: Early Prediction of Suspected Brain Tumor Foci for Patient Management. J Nucl Med 2024:jnumed.123.267112. [PMID: 38360054 DOI: 10.2967/jnumed.123.267112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 01/29/2024] [Indexed: 02/17/2024] Open
Affiliation(s)
- Philipp Lohmann
- Institute of Neuroscience and Medicine (INM-3/-4), Forschungszentrum Juelich, Juelich, Germany;
- Department of Nuclear Medicine, University Hospital RWTH Aachen, Aachen, Germany
| | - Robin Gutsche
- Institute of Neuroscience and Medicine (INM-3/-4), Forschungszentrum Juelich, Juelich, Germany
| | - Jan-Michael Werner
- Department of Neurology, Medical Faculty and University Hospital of Cologne, University of Cologne, Cologne, Germany
| | - N Jon Shah
- Institute of Neuroscience and Medicine (INM-3/-4), Forschungszentrum Juelich, Juelich, Germany
- Department of Neurology, University Hospital RWTH Aachen, Aachen, Germany; and
| | - Karl-Josef Langen
- Institute of Neuroscience and Medicine (INM-3/-4), Forschungszentrum Juelich, Juelich, Germany
- Department of Nuclear Medicine, University Hospital RWTH Aachen, Aachen, Germany
- Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf (CIO ABCD), Germany
| | - Norbert Galldiks
- Institute of Neuroscience and Medicine (INM-3/-4), Forschungszentrum Juelich, Juelich, Germany
- Department of Neurology, Medical Faculty and University Hospital of Cologne, University of Cologne, Cologne, Germany
- Center for Integrated Oncology Aachen Bonn Cologne Duesseldorf (CIO ABCD), Germany
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Filss CP, Cramer J, Löher S, Lohmann P, Stoffels G, Stegmayr C, Kocher M, Heinzel A, Galldiks N, Wittsack HJ, Sabel M, Neumaier B, Scheins J, Shah NJ, Meyer PT, Mottaghy FM, Langen KJ. Assessment of Brain Tumour Perfusion Using Early-Phase 18F-FET PET: Comparison with Perfusion-Weighted MRI. Mol Imaging Biol 2024; 26:36-44. [PMID: 37848641 PMCID: PMC10827807 DOI: 10.1007/s11307-023-01861-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Revised: 09/10/2023] [Accepted: 09/19/2023] [Indexed: 10/19/2023]
Abstract
PURPOSE Morphological imaging using MRI is essential for brain tumour diagnostics. Dynamic susceptibility contrast (DSC) perfusion-weighted MRI (PWI), as well as amino acid PET, may provide additional information in ambiguous cases. Since PWI is often unavailable in patients referred for amino acid PET, we explored whether maps of relative cerebral blood volume (rCBV) in brain tumours can be extracted from the early phase of PET using O-(2-18F-fluoroethyl)-L-tyrosine (18F-FET). PROCEDURE Using a hybrid brain PET/MRI scanner, PWI and dynamic 18F-FET PET were performed in 33 patients with cerebral glioma and four patients with highly vascularized meningioma. The time interval from 0 to 2 min p.i. was selected to best reflect the blood pool phase in 18F-FET PET. For each patient, maps of MR-rCBV, early 18F-FET PET (0-2 min p.i.) and late 18F-FET PET (20-40 min p.i.) were generated and coregistered. Volumes of interest were placed on the tumour (VOI-TU) and normal-appearing brain (VOI-REF). The correlation between tumour-to-brain ratios (TBR) of the different parameters was analysed. In addition, three independent observers evaluated MR-rCBV and early 18F-FET maps (18F-FET-rCBV) for concordance in signal intensity, tumour extent and intratumoural distribution. RESULTS TBRs calculated from MR-rCBV and 18F-FET-rCBV showed a significant correlation (r = 0.89, p < 0.001), while there was no correlation between late 18F-FET PET and MR-rCBV (r = 0.24, p = 0.16) and 18F-FET-rCBV (r = 0.27, p = 0.11). Visual rating yielded widely agreeing findings or only minor differences between MR-rCBV maps and 18F-FET-rCBV maps in 93 % of the tumours (range of three independent raters 91-94%, kappa among raters 0.78-1.0). CONCLUSION Early 18F-FET maps (0-2 min p.i.) in gliomas provide similar information to MR-rCBV maps and may be helpful when PWI is not possible or available. Further studies in gliomas are needed to evaluate whether 18F-FET-rCBV provides the same clinical information as MR-rCBV.
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Affiliation(s)
- Christian P Filss
- Department of Nuclear Medicine, RWTH University Hospital, Aachen, Germany.
- Institute of Neuroscience and Medicine (INM-3, INM-4, INM-5, INM-11), Forschungszentrum Jülich, Jülich, Germany.
- Center of Integrated Oncology (CIO), University of Aachen, Bonn, Cologne and Düsseldorf, Germany.
| | - Julian Cramer
- Institute of Neuroscience and Medicine (INM-3, INM-4, INM-5, INM-11), Forschungszentrum Jülich, Jülich, Germany
- Faculty of Medical Engineering and Technomathematics, FH Aachen University of Applied Sciences, Campus Juelich, Jülich, Germany
| | - Saskia Löher
- Institute of Neuroscience and Medicine (INM-3, INM-4, INM-5, INM-11), Forschungszentrum Jülich, Jülich, Germany
- Faculty of Medical Engineering and Technomathematics, FH Aachen University of Applied Sciences, Campus Juelich, Jülich, Germany
| | - Philipp Lohmann
- Institute of Neuroscience and Medicine (INM-3, INM-4, INM-5, INM-11), Forschungszentrum Jülich, Jülich, Germany
| | - Gabriele Stoffels
- Institute of Neuroscience and Medicine (INM-3, INM-4, INM-5, INM-11), Forschungszentrum Jülich, Jülich, Germany
| | - Carina Stegmayr
- Institute of Neuroscience and Medicine (INM-3, INM-4, INM-5, INM-11), Forschungszentrum Jülich, Jülich, Germany
| | - Martin Kocher
- Institute of Neuroscience and Medicine (INM-3, INM-4, INM-5, INM-11), Forschungszentrum Jülich, Jülich, Germany
- Center of Integrated Oncology (CIO), University of Aachen, Bonn, Cologne and Düsseldorf, Germany
- Department of Stereotactic and Functional Neurosurgery, Center for Neurosurgery, University Hospital Cologne, Cologne, Germany
| | - Alexander Heinzel
- Department of Nuclear Medicine, RWTH University Hospital, Aachen, Germany
- Institute of Neuroscience and Medicine (INM-3, INM-4, INM-5, INM-11), Forschungszentrum Jülich, Jülich, Germany
- Center of Integrated Oncology (CIO), University of Aachen, Bonn, Cologne and Düsseldorf, Germany
- Department of Nuclear Medicine, University Hospital Halle (Saale), Halle (Saale), Germany
| | - Norbert Galldiks
- Institute of Neuroscience and Medicine (INM-3, INM-4, INM-5, INM-11), Forschungszentrum Jülich, Jülich, Germany
- Center of Integrated Oncology (CIO), University of Aachen, Bonn, Cologne and Düsseldorf, Germany
- Department of Neurology, University Hospital Cologne, Cologne, Germany
| | - Hans J Wittsack
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University of Düsseldorf, Düsseldorf, Germany
| | - Michael Sabel
- Center of Integrated Oncology (CIO), University of Aachen, Bonn, Cologne and Düsseldorf, Germany
- Department of Neurosurgery, University Hospital Düsseldorf, Düsseldorf, Germany
| | - Bernd Neumaier
- Institute of Neuroscience and Medicine (INM-3, INM-4, INM-5, INM-11), Forschungszentrum Jülich, Jülich, Germany
- Institute of Radiochemistry and Experimental Molecular Imaging, University Hospital Cologne, Cologne, Germany
| | - Jürgen Scheins
- Institute of Neuroscience and Medicine (INM-3, INM-4, INM-5, INM-11), Forschungszentrum Jülich, Jülich, Germany
| | - N Jon Shah
- Institute of Neuroscience and Medicine (INM-3, INM-4, INM-5, INM-11), Forschungszentrum Jülich, Jülich, Germany
- JARA - BRAIN - Translational Medicine, RWTH Aachen University, Aachen, Germany
- Department of Neurology, RWTH Aachen University Hospital, Aachen, Germany
| | - Philipp T Meyer
- Department of Nuclear Medicine, Medical Center - University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Felix M Mottaghy
- Department of Nuclear Medicine, RWTH University Hospital, Aachen, Germany
- Center of Integrated Oncology (CIO), University of Aachen, Bonn, Cologne and Düsseldorf, Germany
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center (MUMC+), Maastricht, Netherlands
| | - Karl-Josef Langen
- Department of Nuclear Medicine, RWTH University Hospital, Aachen, Germany
- Institute of Neuroscience and Medicine (INM-3, INM-4, INM-5, INM-11), Forschungszentrum Jülich, Jülich, Germany
- Center of Integrated Oncology (CIO), University of Aachen, Bonn, Cologne and Düsseldorf, Germany
- JARA - BRAIN - Translational Medicine, RWTH Aachen University, Aachen, Germany
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Choi CH, Felder J, Lerche C, Shah NJ. MRI Coil Development Strategies for Hybrid MR-PET Systems: A Review. IEEE Rev Biomed Eng 2024; 17:342-350. [PMID: 37015609 DOI: 10.1109/rbme.2022.3227337] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Simultaneously operating MR-PET systems have the potential to provide synergetic multi-parametric information, and, as such, interest surrounding their use and development is increasing. However, despite the potential advantages offered by fully combined MR-PET systems, implementing this hybrid integration is technically laborious, and any factors degrading the quality of either modality must be circumvented to ensure optimal performance. In order to attain the best possible quality from both systems, most full MR-PET integrations tend to place the shielded PET system inside the MRI system, close to the target volume of the subject. The radiofrequency (RF) coil used in MRI systems is a key factor in determining the quality of the MR images, and, in simultaneous acquisition, it is generally positioned inside the PET system and PET imaging region, potentially resulting in attenuation and artefacts in the PET images. Therefore, when designing hybrid MR-PET systems, it is imperative that consideration be given to the RF coils inside the PET system. In this review, we present current state-of-the-art RF coil designs used for hybrid MR-PET experiments and discuss various design strategies for constructing PET transparent RF coils.
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Choi CH, Webb A, Orzada S, Kelenjeridze M, Shah NJ, Felder J. A Review of Parallel Transmit Arrays for Ultra-High Field MR Imaging. IEEE Rev Biomed Eng 2024; 17:351-368. [PMID: 37022919 DOI: 10.1109/rbme.2023.3244132] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/12/2023]
Abstract
Parallel transmission (pTX) techniques are required to tackle a number of challenges, e.g., the inhomogeneous distribution of the transmit field and elevated specific absorption rate (SAR), in ultra-high field (UHF) MR imaging. Additionally, they offer multiple degrees of freedom to create temporally- and spatially-tailored transverse magnetization. Given the increasing availability of MRI systems at 7 T and above, it is anticipated that interest in pTX applications will grow accordingly. One of the key components in MR systems capable of pTX is the design of the transmit array, as this has a major impact on performance in terms of power requirements, SAR and RF pulse design. While several reviews on pTX pulse design and the clinical applicability of UHF exist, there is currently no systematic review of pTX transmit/transceiver coils and their associated performance. In this article, we analyze transmit array concepts to determine the strengths and weaknesses of different types of design. We systematically review the different types of individual antennas employed for UHF, their combination into pTX arrays, and methods to decouple the individual elements. We also reiterate figures-of-merit (FoMs) frequently employed to describe the performance of pTX arrays and summarize published array designs in terms of these FoMs.
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Mauler J, Lohmann P, Maudsley AA, Sheriff S, Hoevels M, Meissner AK, Hamisch C, Brunn A, Deckert M, Filss CP, Stoffels G, Dammers J, Ruge MI, Galldiks N, Mottaghy FM, Langen KJ, Shah NJ. Diagnostic Accuracy of MR Spectroscopic Imaging and 18F-FET PET for Identifying Glioma: A Biopsy-Controlled Hybrid PET/MRI Study. J Nucl Med 2024; 65:16-21. [PMID: 37884332 DOI: 10.2967/jnumed.123.265868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 08/22/2023] [Indexed: 10/28/2023] Open
Abstract
Contrast-enhanced MRI is the method of choice for brain tumor diagnostics, despite its low specificity for tumor tissue. This study compared the contribution of MR spectroscopic imaging (MRSI) and amino acid PET to improve the detection of tumor tissue. Methods: In 30 untreated patients with suspected glioma, O-(2-[18F]fluoroethyl)-l-tyrosine (18F-FET) PET; 3-T MRSI with a short echo time; and fluid-attenuated inversion recovery, T2-weighted, and contrast-enhanced T1-weighted MRI were performed for stereotactic biopsy planning. Serial samples were taken along the needle trajectory, and their masks were projected to the preoperative imaging data. Each sample was individually evaluated neuropathologically. 18F-FET uptake and the MRSI signals choline (Cho), N-acetyl-aspartate (NAA), creatine, myoinositol, and derived ratios were evaluated for each sample and classified using logistic regression. The diagnostic accuracy was evaluated by receiver operating characteristic analysis. Results: On the basis of the neuropathologic evaluation of tissue from 88 stereotactic biopsies, supplemented with 18F-FET PET and MRSI metrics from 20 areas on the healthy-appearing contralateral hemisphere to balance the glioma/nonglioma groups, 18F-FET PET identified glioma with the highest accuracy (area under the receiver operating characteristic curve, 0.89; 95% CI, 0.81-0.93; threshold, 1.4 × background uptake). Among the MR spectroscopic metabolites, Cho/NAA normalized to normal brain tissue showed the highest diagnostic accuracy (area under the receiver operating characteristic curve, 0.81; 95% CI, 0.71-0.88; threshold, 2.2). The combination of 18F-FET PET and normalized Cho/NAA did not improve the diagnostic performance. Conclusion: MRI-based delineation of gliomas should preferably be supplemented by 18F-FET PET.
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Affiliation(s)
- Jörg Mauler
- Institute of Neuroscience and Medicine (INM-3/INM-4/INM-11), Forschungszentrum Juelich, Juelich, Germany;
| | - Philipp Lohmann
- Institute of Neuroscience and Medicine (INM-3/INM-4/INM-11), Forschungszentrum Juelich, Juelich, Germany
- Department of Stereotactic and Functional Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Andrew A Maudsley
- Department of Radiology, Miller School of Medicine, University of Miami, Miami, Florida
| | - Sulaiman Sheriff
- Department of Radiology, Miller School of Medicine, University of Miami, Miami, Florida
| | - Moritz Hoevels
- Department of Stereotactic and Functional Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Anna-Katharina Meissner
- Department of General Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Christina Hamisch
- Department of Stereotactic and Functional Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Anna Brunn
- Institute of Neuropathology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Institute of Neuropathology, University Hospital Düsseldorf and Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Martina Deckert
- Institute of Neuropathology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Institute of Neuropathology, University Hospital Düsseldorf and Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Christian P Filss
- Institute of Neuroscience and Medicine (INM-3/INM-4/INM-11), Forschungszentrum Juelich, Juelich, Germany
- Department of Nuclear Medicine, RWTH Aachen University Hospital, Aachen, Germany
| | - Gabriele Stoffels
- Institute of Neuroscience and Medicine (INM-3/INM-4/INM-11), Forschungszentrum Juelich, Juelich, Germany
| | - Jürgen Dammers
- Institute of Neuroscience and Medicine (INM-3/INM-4/INM-11), Forschungszentrum Juelich, Juelich, Germany
| | - Maximillian I Ruge
- Department of Stereotactic and Functional Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Center for Integrated Oncology, Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany
| | - Norbert Galldiks
- Institute of Neuroscience and Medicine (INM-3/INM-4/INM-11), Forschungszentrum Juelich, Juelich, Germany
- Center for Integrated Oncology, Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Felix M Mottaghy
- Department of Nuclear Medicine, RWTH Aachen University Hospital, Aachen, Germany
- Center for Integrated Oncology, Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Karl-Josef Langen
- Institute of Neuroscience and Medicine (INM-3/INM-4/INM-11), Forschungszentrum Juelich, Juelich, Germany
- Department of Nuclear Medicine, RWTH Aachen University Hospital, Aachen, Germany
- Center for Integrated Oncology, Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany
| | - N Jon Shah
- Institute of Neuroscience and Medicine (INM-3/INM-4/INM-11), Forschungszentrum Juelich, Juelich, Germany
- Department of Neurology, RWTH Aachen University Hospital, Aachen, Germany; and
- JARA-BRAIN-Translational Medicine, Aachen, Germany
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Friedrich M, Filss CP, Lohmann P, Mottaghy FM, Stoffels G, Weiss Lucas C, Ruge MI, Shah NJ, Caspers S, Langen KJ, Fink GR, Galldiks N, Kocher M. Structural connectome-based predictive modeling of cognitive deficits in treated glioma patients. Neurooncol Adv 2024; 6:vdad151. [PMID: 38196739 PMCID: PMC10776208 DOI: 10.1093/noajnl/vdad151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2024] Open
Abstract
Background In glioma patients, tumor growth and subsequent treatments are associated with various types of brain lesions. We hypothesized that cognitive functioning in these patients critically depends on the maintained structural connectivity of multiple brain networks. Methods The study included 121 glioma patients (median age, 52 years; median Eastern Cooperative Oncology Group performance score 1; CNS-WHO Grade 3 or 4) after multimodal therapy. Cognitive performance was assessed by 10 tests in 5 cognitive domains at a median of 14 months after treatment initiation. Hybrid amino acid PET/MRI using the tracer O-(2-[18F]fluoroethyl)-L-tyrosine, a network-based cortical parcellation, and advanced tractography were used to generate whole-brain fiber count-weighted connectivity matrices. The matrices were applied to a cross-validated machine-learning model to identify predictive fiber connections (edges), critical cortical regions (nodes), and the networks underlying cognitive performance. Results Compared to healthy controls (n = 121), patients' cognitive scores were significantly lower in 9 cognitive tests. The models predicted the scores of 7/10 tests (median correlation coefficient, 0.47; range, 0.39-0.57) from 0.6% to 5.4% of the matrix entries; 84% of the predictive edges were between nodes of different networks. Critically involved cortical regions (≥10 adjacent edges) included predominantly left-sided nodes of the visual, somatomotor, dorsal/ventral attention, and default mode networks. Highly critical nodes (≥15 edges) included the default mode network's left temporal and bilateral posterior cingulate cortex. Conclusions These results suggest that the cognitive performance of pretreated glioma patients is strongly related to structural connectivity between multiple brain networks and depends on the integrity of known network hubs also involved in other neurological disorders.
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Affiliation(s)
- Michel Friedrich
- Institute of Neuroscience and Medicine (INM-1, INM-3, INM-4, INM-11), Forschungszentrum Juelich, Juelich, Germany
| | - Christian P Filss
- Institute of Neuroscience and Medicine (INM-1, INM-3, INM-4, INM-11), Forschungszentrum Juelich, Juelich, Germany
| | - Philipp Lohmann
- Institute of Neuroscience and Medicine (INM-1, INM-3, INM-4, INM-11), Forschungszentrum Juelich, Juelich, Germany
| | - Felix M Mottaghy
- Department of Nuclear Medicine, RWTH University Hospital Aachen, RWTH University Aachen, Aachen, Germany
| | - Gabriele Stoffels
- Institute of Neuroscience and Medicine (INM-1, INM-3, INM-4, INM-11), Forschungszentrum Juelich, Juelich, Germany
| | - Carolin Weiss Lucas
- Department of General Neurosurgery, Center for Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
- Center of Integrated Oncology (CIO), Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany
| | - Maximilian I Ruge
- Center of Integrated Oncology (CIO), Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany
- Department of Stereotaxy and Functional Neurosurgery, Center for Neurosurgery, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
| | - N Jon Shah
- Institute of Neuroscience and Medicine (INM-1, INM-3, INM-4, INM-11), Forschungszentrum Juelich, Juelich, Germany
- Juelich-Aachen Research Alliance (JARA), Section JARA-Brain, Juelich, Germany
- Department of Neurology, RWTH University Hospital Aachen, RWTH University Aachen, Aachen, Germany
| | - Svenja Caspers
- Institute of Neuroscience and Medicine (INM-1, INM-3, INM-4, INM-11), Forschungszentrum Juelich, Juelich, Germany
- Institute for Anatomy I, Medical Faculty and University Hospital Duesseldorf, Heinrich Heine University Duesseldorf, Duesseldorf, Germany
| | - Karl-Josef Langen
- Institute of Neuroscience and Medicine (INM-1, INM-3, INM-4, INM-11), Forschungszentrum Juelich, Juelich, Germany
- Department of Nuclear Medicine, RWTH University Hospital Aachen, RWTH University Aachen, Aachen, Germany
- Center of Integrated Oncology (CIO), Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany
| | - Gereon R Fink
- Institute of Neuroscience and Medicine (INM-1, INM-3, INM-4, INM-11), Forschungszentrum Juelich, Juelich, Germany
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Norbert Galldiks
- Institute of Neuroscience and Medicine (INM-1, INM-3, INM-4, INM-11), Forschungszentrum Juelich, Juelich, Germany
- Center of Integrated Oncology (CIO), Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Martin Kocher
- Institute of Neuroscience and Medicine (INM-1, INM-3, INM-4, INM-11), Forschungszentrum Juelich, Juelich, Germany
- Center of Integrated Oncology (CIO), Universities of Aachen, Bonn, Cologne, and Duesseldorf, Germany
- Department of Stereotaxy and Functional Neurosurgery, Center for Neurosurgery, Faculty of Medicine and University Hospital Cologne, Cologne, Germany
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Sawalma AS, Kiefer CM, Boers F, Shah NJ, Khudeish N, Neuner I, Herzallah MM, Dammers J. The effects of trauma on feedback processing: an MEG study. Front Neurosci 2023; 17:1172549. [PMID: 38027493 PMCID: PMC10651751 DOI: 10.3389/fnins.2023.1172549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 10/17/2023] [Indexed: 12/01/2023] Open
Abstract
The cognitive impact of psychological trauma can manifest as a range of post-traumatic stress symptoms that are often attributed to impairments in learning from positive and negative outcomes, aka reinforcement learning. Research on the impact of trauma on reinforcement learning has mainly been inconclusive. This study aimed to circumscribe the impact of psychological trauma on reinforcement learning in the context of neural response in time and frequency domains. Two groups of participants were tested - those who had experienced psychological trauma and a control group who had not - while they performed a probabilistic classification task that dissociates learning from positive and negative feedback during a magnetoencephalography (MEG) examination. While the exposure to trauma did not exhibit any effects on learning accuracy or response time for positive or negative feedback, MEG cortical activity was modulated in response to positive feedback. In particular, the medial and lateral orbitofrontal cortices (mOFC and lOFC) exhibited increased activity, while the insular and supramarginal cortices showed decreased activity during positive feedback presentation. Furthermore, when receiving negative feedback, the trauma group displayed higher activity in the medial portion of the superior frontal cortex. The timing of these activity changes occurred between 160 and 600 ms post feedback presentation. Analysis of the time-frequency domain revealed heightened activity in theta and alpha frequency bands (4-10 Hz) in the lOFC in the trauma group. Moreover, dividing the two groups according to their learning performance, the activity for the non-learner subgroup was found to be lower in lOFC and higher in the supramarginal cortex. These differences were found in the trauma group only. The results highlight the localization and neural dynamics of feedback processing that could be affected by exposure to psychological trauma. This approach and associated findings provide a novel framework for understanding the cognitive correlates of psychological trauma in relation to neural dynamics in the space, time, and frequency domains. Subsequent work will focus on the stratification of cognitive and neural correlates as a function of various symptoms of psychological trauma. Clinically, the study findings and approach open the possibility for neuromodulation interventions that synchronize cognitive and psychological constructs for individualized treatment.
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Affiliation(s)
- Abdulrahman S. Sawalma
- Institute of Neuroscience and Medicine (INM-4), Forschungszentrum Jülich GmbH, Jülich, Germany
- Faculty of Medicine, RWTH Aachen University, Aachen, Germany
- Palestinian Neuroscience Initiative, Al-Quds University, Abu Dis, Palestine
| | - Christian M. Kiefer
- Institute of Neuroscience and Medicine (INM-4), Forschungszentrum Jülich GmbH, Jülich, Germany
- Faculty of Mathematics, Computer Science and Natural Sciences, RWTH Aachen University, Aachen, Germany
| | - Frank Boers
- Institute of Neuroscience and Medicine (INM-4), Forschungszentrum Jülich GmbH, Jülich, Germany
| | - N. Jon Shah
- Institute of Neuroscience and Medicine (INM-4), Forschungszentrum Jülich GmbH, Jülich, Germany
- Institute of Neuroscience and Medicine (INM-11), Jülich Aachen Research Alliance (JARA), Forschungszentrum Jülich GmbH, Jülich, Germany
- Jülich Aachen Research Alliance (JARA)-Brain – Translational Medicine, Aachen, Germany
- Department of Neurology, University Hospital RWTH Aachen, Aachen, Germany
| | - Nibal Khudeish
- Institute of Neuroscience and Medicine (INM-4), Forschungszentrum Jülich GmbH, Jülich, Germany
- Faculty of Medicine, RWTH Aachen University, Aachen, Germany
| | - Irene Neuner
- Institute of Neuroscience and Medicine (INM-4), Forschungszentrum Jülich GmbH, Jülich, Germany
- Jülich Aachen Research Alliance (JARA)-Brain – Translational Medicine, Aachen, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany
| | - Mohammad M. Herzallah
- Palestinian Neuroscience Initiative, Al-Quds University, Abu Dis, Palestine
- Center for Molecular and Behavioral Neuroscience, Rutgers University, Newark, NJ, United States
| | - Jürgen Dammers
- Institute of Neuroscience and Medicine (INM-4), Forschungszentrum Jülich GmbH, Jülich, Germany
- Faculty of Medicine, RWTH Aachen University, Aachen, Germany
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Kampel N, Kiefer CM, Shah NJ, Neuner I, Dammers J. Neural fingerprinting on MEG time series using MiniRocket. Front Neurosci 2023; 17:1229371. [PMID: 37799343 PMCID: PMC10547883 DOI: 10.3389/fnins.2023.1229371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 09/04/2023] [Indexed: 10/07/2023] Open
Abstract
Neural fingerprinting is the identification of individuals in a cohort based on neuroimaging recordings of brain activity. In magneto- and electroencephalography (M/EEG), it is common practice to use second-order statistical measures, such as correlation or connectivity matrices, when neural fingerprinting is performed. These measures or features typically require coupling between signal channels and often ignore the individual temporal dynamics. In this study, we show that, following recent advances in multivariate time series classification, such as the development of the RandOm Convolutional KErnel Transformation (ROCKET) classifier, it is possible to perform classification directly on short time segments from MEG resting-state recordings with remarkably high classification accuracies. In a cohort of 124 subjects, it was possible to assign windows of time series of 1 s in duration to the correct subject with above 99% accuracy. The achieved accuracies are vastly superior to those of previous methods while simultaneously requiring considerably shorter time segments.
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Affiliation(s)
- Nikolas Kampel
- Institute of Neuroscience and Medicine (INM-4), Forschungszentrum Jülich GmbH, Jülich, Germany
- Faculty of Medicine, RWTH Aachen University, Aachen, Germany
- Jülich Aachen Research Alliance (JARA) – CSD – Center for Simulation and Data Science, Aachen, Germany
| | - Christian M. Kiefer
- Institute of Neuroscience and Medicine (INM-4), Forschungszentrum Jülich GmbH, Jülich, Germany
- Faculty of Mathematics, Computer Science and Natural Sciences, RWTH Aachen University, Aachen, Germany
| | - N. Jon Shah
- Institute of Neuroscience and Medicine (INM-4), Forschungszentrum Jülich GmbH, Jülich, Germany
- Jülich Aachen Research Alliance (JARA) – BRAIN – Translational Medicine, Aachen, Germany
- Institute of Neuroscience and Medicine (INM-11), Jülich Aachen Research Alliance (JARA), Forschungszentrum Jülich GmbH, Jülich, Germany
- Department of Neurology, University Hospital RWTH Aachen, Aachen, Germany
| | - Irene Neuner
- Institute of Neuroscience and Medicine (INM-4), Forschungszentrum Jülich GmbH, Jülich, Germany
- Jülich Aachen Research Alliance (JARA) – CSD – Center for Simulation and Data Science, Aachen, Germany
- Jülich Aachen Research Alliance (JARA) – BRAIN – Translational Medicine, Aachen, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany
| | - Jürgen Dammers
- Institute of Neuroscience and Medicine (INM-4), Forschungszentrum Jülich GmbH, Jülich, Germany
- Faculty of Medicine, RWTH Aachen University, Aachen, Germany
- Jülich Aachen Research Alliance (JARA) – CSD – Center for Simulation and Data Science, Aachen, Germany
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Heinzel A, Mauler J, Herzog H, Boers F, Mottaghy FM, Langen KJ, Scheins J, Lerche C, Neumaier B, Northoff G, Shah NJ. GABA A receptor availability relates to emotion-induced BOLD responses in the medial prefrontal cortex: simultaneous fMRI/PET with [ 11C]flumazenil. Front Neurosci 2023; 17:1027697. [PMID: 37766785 PMCID: PMC10520870 DOI: 10.3389/fnins.2023.1027697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Accepted: 08/16/2023] [Indexed: 09/29/2023] Open
Abstract
Introduction The fMRI BOLD response to emotional stimuli highlighting the role of the medial prefrontal cortex (MPFC) has been thoroughly investigated. Recently, the relationship between emotion processing and GABA levels has been studied using MPFC proton magnetic resonance spectroscopy (1H-MRS). However, the role of GABAA receptors in the MPFC during emotion processing remains unexplored. Methods Using [11C]flumazenil PET, we investigated the relationship between the binding potential of GABAA receptors and emotion processing as measured using simultaneous fMRI BOLD. We hypothesized a correlation between the percent signal change in the BOLD signal and the binding potential of GABAA receptors in the MPFC. In a combined simultaneous fMRI and [11C]flumazenil-PET study, we analyzed the data from 15 healthy subjects using visual emotional stimuli. Our task comprised two types of emotional processing: passive viewing and appraisal. Following the administration of a bolus plus infusion protocol, PET and fMRI data were simultaneously acquired in a hybrid 3 T MR-BrainPET. Results We found a differential correlation of BOLD percent signal change with [11C]flumazenil binding potential in the MPFC. Specifically, [11C]flumazenil binding potential in the ventromedial prefrontal cortex (vMPFC) correlated with passive viewing of emotionally valenced pictures. In contrast, the [11C]flumazenil binding potential and the BOLD signal induced by picture appraisal did show a correlation in the paracingulate gyrus. Conclusion Our data deliver first evidence for a relationship between MPFC GABAA receptors and emotion processing in the same region. Moreover, we observed that GABAA receptors appear to play different roles in emotion processing in the vMPFC (passive viewing) and paracingulate gyrus (appraisal).
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Affiliation(s)
- Alexander Heinzel
- Institute of Neuroscience and Medicine – 4, Forschungszentrum Jülich, Jülich, Germany
- Department of Nuclear Medicine, Medical Faculty RWTH Aachen, Aachen, Germany
- Department of Nuclear medicine, University Hospital Halle, Halle (Saale), Germany
| | - Jörg Mauler
- Institute of Neuroscience and Medicine – 4, Forschungszentrum Jülich, Jülich, Germany
| | - Hans Herzog
- Institute of Neuroscience and Medicine – 4, Forschungszentrum Jülich, Jülich, Germany
| | - Frank Boers
- Institute of Neuroscience and Medicine – 4, Forschungszentrum Jülich, Jülich, Germany
| | - Felix M. Mottaghy
- Department of Nuclear Medicine, Medical Faculty RWTH Aachen, Aachen, Germany
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, Netherlands
| | - Karl-Josef Langen
- Institute of Neuroscience and Medicine – 4, Forschungszentrum Jülich, Jülich, Germany
- Department of Nuclear Medicine, Medical Faculty RWTH Aachen, Aachen, Germany
| | - Jürgen Scheins
- Institute of Neuroscience and Medicine – 4, Forschungszentrum Jülich, Jülich, Germany
| | - Christoph Lerche
- Institute of Neuroscience and Medicine – 4, Forschungszentrum Jülich, Jülich, Germany
| | - Bernd Neumaier
- Institute of Neuroscience and Medicine – 5, Forschungszentrum Jülich, Jülich, Germany
| | - Georg Northoff
- Mind, Brain Imaging and Neuroethics Research Unit, Institute of Mental Health, Royal Ottawa Mental Health Centre and University of Ottawa, Ottawa, ON, Canada
| | - N. Jon Shah
- Institute of Neuroscience and Medicine – 4, Forschungszentrum Jülich, Jülich, Germany
- Institute of Neuroscience and Medicine – 11, Forschungszentrum Jülich, Jülich, Germany
- JARA – BRAIN – Translational Medicine, Aachen, Germany
- Department of Neurology, RWTH Aachen University, Aachen, Germany
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Hensel L, Seger A, Farrher E, Bonkhoff AK, Shah NJ, Fink GR, Grefkes C, Sommerauer M, Doppler CEJ. Fronto-striatal dynamic connectivity is linked to dopaminergic motor response in Parkinson's disease. Parkinsonism Relat Disord 2023; 114:105777. [PMID: 37549587 DOI: 10.1016/j.parkreldis.2023.105777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2023] [Revised: 07/09/2023] [Accepted: 07/25/2023] [Indexed: 08/09/2023]
Abstract
INTRODUCTION Differences in dopaminergic motor response in Parkinson's disease (PD) patients can be related to PD subtypes, and previous fMRI studies associated dopaminergic motor response with corticostriatal functional connectivity. While traditional fMRI analyses have assessed the mean connectivity between regions of interest, an important aspect driving dopaminergic response might lie in the temporal dynamics in corticostriatal connections. METHODS This study aims to determine if altered resting-state dynamic functional network connectivity (DFC) is associated with dopaminergic motor response. To test this, static and DFC were assessed in 32 PD patients and 18 healthy controls (HC). Patients were grouped as low and high responders using a median split of their dopaminergic motor response. RESULTS Patients featuring a high dopaminergic motor response were observed to spend more time in a regionally integrated state compared to HC. Furthermore, DFC between the anterior midcingulate cortex/dorsal anterior cingulate cortex (aMCC/dACC) and putamen was lower in low responders during a more segregated state and correlated with dopaminergic motor response. CONCLUSION The findings of this study revealed that temporal dynamics of fronto-striatal connectivity are associated with clinically relevant information, which may be considered when assessing functional connectivity between regions involved in motor initiation.
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Affiliation(s)
- Lukas Hensel
- University of Cologne, University Hospital Cologne, Department of Neurology, 50937, Köln, Germany; Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Forschungszentrum Jülich, 52425, Jülich, Germany.
| | - Aline Seger
- University of Cologne, University Hospital Cologne, Department of Neurology, 50937, Köln, Germany; Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Forschungszentrum Jülich, 52425, Jülich, Germany
| | - Ezequiel Farrher
- Institute of Neuroscience and Medicine 4 and Molecular Neuroscience and Neuroimaging (INM-4 / INM-11), Forschungszentrum Jülich, 52425, Jülich, Germany
| | - Anna K Bonkhoff
- J. Philip Kistler Stroke Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, United States
| | - N Jon Shah
- Institute of Neuroscience and Medicine 4 and Molecular Neuroscience and Neuroimaging (INM-4 / INM-11), Forschungszentrum Jülich, 52425, Jülich, Germany; JARA - BRAIN - Translational Medicine, 52056, Aachen, Germany; RWTH Aachen University, Department of Neurology, 52056, Aachen, Germany
| | - Gereon R Fink
- University of Cologne, University Hospital Cologne, Department of Neurology, 50937, Köln, Germany; Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Forschungszentrum Jülich, 52425, Jülich, Germany
| | - Christian Grefkes
- University Hospital Frankfurt, Goethe University, Department of Neurology, Frankfurt am Main, Germany
| | - Michael Sommerauer
- University of Cologne, University Hospital Cologne, Department of Neurology, 50937, Köln, Germany; Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Forschungszentrum Jülich, 52425, Jülich, Germany
| | - Christopher E J Doppler
- University of Cologne, University Hospital Cologne, Department of Neurology, 50937, Köln, Germany; Cognitive Neuroscience, Institute of Neuroscience and Medicine (INM-3), Forschungszentrum Jülich, 52425, Jülich, Germany.
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15
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Gogishvili A, Farrher E, Doppler CEJ, Seger A, Sommerauer M, Shah NJ. Quantification of the neurochemical profile of the human putamen using STEAM MRS in a cohort of elderly subjects at 3 T and 7 T: Ruminations on the correction strategy for the tissue voxel composition. PLoS One 2023; 18:e0286633. [PMID: 37267283 DOI: 10.1371/journal.pone.0286633] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 05/19/2023] [Indexed: 06/04/2023] Open
Abstract
The aim of this work is to quantify the metabolic profile of the human putamen in vivo in a cohort of elderly subjects using single-voxel proton magnetic resonance spectroscopy. To obtain metabolite concentrations specific to the putamen, we investigated a correction method previously proposed to account for the tissue composition of the volume of interest. We compared the method with the conventional approach, which a priori assumes equal metabolite concentrations in GM and WM. Finally, we compared the concentrations acquired at 3 Tesla (T) and 7 T MRI scanners. Spectra were acquired from 15 subjects (age: 67.7 ± 8.3 years) at 3 T and 7 T, using an ultra-short echo time, stimulated echo acquisition mode sequence. To robustly estimate the WM-to-GM metabolite concentration ratio, five additional subjects were measured for whom the MRS voxel was deliberately shifted from the putamen in order to increase the covered amount of surrounding WM. The concentration and WM-to-GM concentration ratio for 16 metabolites were reliably estimated. These ratios ranged from ~0.3 for γ-aminobutyric acid to ~4 for N-acetylaspartylglutamate. The investigated correction method led to significant changes in concentrations compared to the conventional method, provided that the ratio significantly differed from unity. Finally, we demonstrated that differences in tissue voxel composition cannot fully account for the observed concentration difference between field strengths. We provide not only a fully comprehensive quantification of the neurochemical profile of the putamen in elderly subjects, but also a quantification of the WM-to-GM concentration ratio. This knowledge may serve as a basis for future studies with varying tissue voxel composition, either due to tissue atrophy, inconsistent voxel positioning or simply when pooling data from different voxel locations.
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Affiliation(s)
- Ana Gogishvili
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Jülich, Germany
- Faculty of Medicine, RWTH Aachen University, Aachen, Germany
- Engineering Physics Department, Georgian Technical University, Tbilisi, Georgia
| | - Ezequiel Farrher
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Jülich, Germany
| | - Christopher E J Doppler
- Cognitive Neuroscience, Institute of Neuroscience and Medicine 3, INM-3, Forschungszentrum Jülich, Jülich, Germany
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Aline Seger
- Cognitive Neuroscience, Institute of Neuroscience and Medicine 3, INM-3, Forschungszentrum Jülich, Jülich, Germany
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Michael Sommerauer
- Cognitive Neuroscience, Institute of Neuroscience and Medicine 3, INM-3, Forschungszentrum Jülich, Jülich, Germany
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - N Jon Shah
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Jülich, Germany
- Institute of Neuroscience and Medicine 11, INM-11, JARA, Forschungszentrum Jülich, Jülich, Germany
- JARA - BRAIN - Translational Medicine, Aachen, Germany
- Department of Neurology, RWTH Aachen University, Aachen, Germany
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Ramkiran S, Veselinović T, Dammers J, Gaebler AJ, Rajkumar R, Shah NJ, Neuner I. How brain networks tic: Predicting tic severity through rs-fMRI dynamics in Tourette syndrome. Hum Brain Mapp 2023. [PMID: 37232486 DOI: 10.1002/hbm.26341] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Revised: 04/28/2023] [Accepted: 05/02/2023] [Indexed: 05/27/2023] Open
Abstract
Tourette syndrome (TS) is a neuropsychiatric disorder characterized by motor and phonic tics, which several different theories, such as basal ganglia-thalamo-cortical loop dysfunction and amygdala hypersensitivity, have sought to explain. Previous research has shown dynamic changes in the brain prior to tic onset leading to tics, and this study aims to investigate the contribution of network dynamics to them. For this, we have employed three methods of functional connectivity to resting-state fMRI data - namely the static, the sliding window dynamic and the ICA based estimated dynamic; followed by an examination of the static and dynamic network topological properties. A leave-one-out (LOO-) validated regression model with LASSO regularization was used to identify the key predictors. The relevant predictors pointed to dysfunction of the primary motor cortex, the prefrontal-basal ganglia loop and amygdala-mediated visual social processing network. This is in line with a recently proposed social decision-making dysfunction hypothesis, opening new horizons in understanding tic pathophysiology.
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Affiliation(s)
- Shukti Ramkiran
- Institute of Neuroscience and Medicine 4 (INM-4), Forschungszentrum Juelich, Juelich, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany
- JARA - BRAIN - Translational Medicine, Aachen, Germany
| | - Tanja Veselinović
- Institute of Neuroscience and Medicine 4 (INM-4), Forschungszentrum Juelich, Juelich, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany
| | - Jürgen Dammers
- Institute of Neuroscience and Medicine 4 (INM-4), Forschungszentrum Juelich, Juelich, Germany
| | - Arnim Johannes Gaebler
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany
- JARA - BRAIN - Translational Medicine, Aachen, Germany
- Institute of Physiology, Faculty of Medicine, RWTH Aachen University, Aachen, Germany
| | - Ravichandran Rajkumar
- Institute of Neuroscience and Medicine 4 (INM-4), Forschungszentrum Juelich, Juelich, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany
- JARA - BRAIN - Translational Medicine, Aachen, Germany
| | - N Jon Shah
- Institute of Neuroscience and Medicine 4 (INM-4), Forschungszentrum Juelich, Juelich, Germany
- JARA - BRAIN - Translational Medicine, Aachen, Germany
- Department of Neurology, Faculty of Medicine, RWTH Aachen University, Aachen, Germany
- Institute of Neuroscience and Medicine 11 (INM-11), JARA, Forschungszentrum Juelich, Juelich, Germany
| | - Irene Neuner
- Institute of Neuroscience and Medicine 4 (INM-4), Forschungszentrum Juelich, Juelich, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany
- JARA - BRAIN - Translational Medicine, Aachen, Germany
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Pais-Roldán P, Yun SD, Palomero-Gallagher N, Shah NJ. Cortical depth-dependent human fMRI of resting-state networks using EPIK. Front Neurosci 2023; 17:1151544. [PMID: 37274214 PMCID: PMC10232833 DOI: 10.3389/fnins.2023.1151544] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Accepted: 04/26/2023] [Indexed: 06/06/2023] Open
Abstract
Introduction Recent laminar-fMRI studies have substantially improved understanding of the evoked cortical responses in multiple sub-systems; in contrast, the laminar component of resting-state networks spread over the whole brain has been less studied due to technical limitations. Animal research strongly suggests that the supragranular layers of the cortex play a critical role in maintaining communication within the default mode network (DMN); however, whether this is true in this and other human cortical networks remains unclear. Methods Here, we used EPIK, which offers unprecedented coverage at sub-millimeter resolution, to investigate cortical broad resting-state dynamics with depth specificity in healthy volunteers. Results Our results suggest that human DMN connectivity is primarily supported by intermediate and superficial layers of the cortex, and furthermore, the preferred cortical depth used for communication can vary from one network to another. In addition, the laminar connectivity profile of some networks showed a tendency to change upon engagement in a motor task. In line with these connectivity changes, we observed that the amplitude of the low-frequency-fluctuations (ALFF), as well as the regional homogeneity (ReHo), exhibited a different laminar slope when subjects were either performing a task or were in a resting state (less variation among laminae, i.e., lower slope, during task performance compared to rest). Discussion The identification of varied laminar profiles concerning network connectivity, ALFF, and ReHo, observed across two brain states (task vs. rest) has major implications for the characterization of network-related diseases and suggests the potential diagnostic value of laminar fMRI in psychiatric disorders, e.g., to differentiate the cortical dynamics associated with disease stages linked, or not linked, to behavioral changes. The evaluation of laminar-fMRI across the brain encompasses computational challenges; nonetheless, it enables the investigation of a new dimension of the human neocortex, which may be key to understanding neurological disorders from a novel perspective.
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Affiliation(s)
- Patricia Pais-Roldán
- Institute of Neuroscience and Medicine 4, Medical Imaging Physics, Forschungszentrum Jülich, Jülich, Germany
| | - Seong Dae Yun
- Institute of Neuroscience and Medicine 4, Medical Imaging Physics, Forschungszentrum Jülich, Jülich, Germany
| | - Nicola Palomero-Gallagher
- Institute of Neuroscience and Medicine 1, Structural and Functional Organisation of the Brain, Forschungszentrum Jülich, Jülich, Germany
- C. and O. Vogt Institute for Brain Research, Heinrich-Heine-University, Düsseldorf, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, RWTH Aachen, Aachen, Germany
| | - N. Jon Shah
- Institute of Neuroscience and Medicine 4, Medical Imaging Physics, Forschungszentrum Jülich, Jülich, Germany
- Institute of Neuroscience and Medicine 11, Molecular Neuroscience and Neuroimaging, JARA, Forschungszentrum Jülich, Jülich, Germany
- JARA–BRAIN–Translational Medicine, Aachen, Germany
- Department of Neurology, RWTH Aachen University, Aachen, Germany
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Hong SM, Choi CH, Shah NJ, Felder J. Design of a Folded, Double-Tuned Loop Coil for ¹H/X-Nuclei MRI Applications. IEEE Trans Med Imaging 2023; 42:1424-1430. [PMID: 37015697 DOI: 10.1109/tmi.2022.3228305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
MR measurement using a combination of X-nuclei and proton MRI is of great interest as the information provided by the two nuclei is highly complementary, with the X-nuclei signal giving metabolic data relating to potential biomarkers and the proton signal affording anatomical details. Due to the relatively weak signal obtained from X-nuclei, combining an X-nuclei coil with a proton coil is also advantageous for [Formula: see text] shimming and scout images. One approach to building a double-resonant coil is to modify the coil geometry. Here, to achieve double-resonance, a 2× 1 ladder network was designed and tuned at both proton and X-nuclei frequencies successfully. Due to coupling between closed wires, the double-tuned coil generates a shifted transmit efficiency pattern compared to that of the single-tuned loop at the 7T MRI proton frequency. To compensate for the shifted pattern, one part of the 2× 1 ladder network was folded, and the tuning and performance of the folded double-tuned coil were evaluated in simulations and MR measurements. The proposed structure was further evaluated with overlapped decoupling in a receive-only array. The results show that our proposed folded double-tuned coil moderated the shifted pattern of a straight double-tuned loop coil and provided minimum losses at both proton and X-nuclei frequencies. The proposed folded double-tuned loop coil has also been further extended to a receive-only array.
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Willuweit A, Humpert S, Schöneck M, Endepols H, Burda N, Gremer L, Gering I, Kutzsche J, Shah NJ, Langen KJ, Neumaier B, Willbold D, Drzezga A. Evaluation of the 18F-labeled analog of the therapeutic all-D-enantiomeric peptide RD2 for amyloid β imaging. Eur J Pharm Sci 2023; 184:106421. [PMID: 36889654 DOI: 10.1016/j.ejps.2023.106421] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 02/16/2023] [Accepted: 03/05/2023] [Indexed: 03/08/2023]
Abstract
Positron emission tomography (PET) imaging with radiotracers that bind to fibrillary amyloid β (Aβ) deposits is an important tool for the diagnosis of Alzheimer's disease (AD) and for the recruitment of patients into clinical trials. However, it has been suggested that rather than the fibrillary Aβ deposits, it is smaller, soluble Aβ aggregates that exert a neurotoxic effect and trigger AD pathogenesis. The aim of the current study is to develop a PET probe that is capable of detecting small aggregates and soluble Aβ oligomers for improved diagnosis and therapy monitoring. An 18F-labeled radioligand was prepared based on the Aβ-binding d-enantiomeric peptide RD2, which is currently being evaluated in clinical trials as a therapeutic agent to dissolve Aβ oligomers. 18F-labeling was carried out using palladium-catalyzed S-arylation of RD2 with 2-[18F]fluoro-5-iodopyridine ([18F]FIPy). Specific binding of [18F]RD2-cFPy to brain material from transgenic AD (APP/PS1) mice and AD patients was demonstrated with in vitro autoradiography. In vivo uptake and biodistribution of [18F]RD2-cFPy were evaluated using PET analyses in wild-type and transgenic APP/PS1 mice. Although brain penetration and brain wash-out kinetics of the radioligand were low, this study provides proof of principle for a PET probe based on a d-enantiomeric peptide binding to soluble Aβ species.
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Affiliation(s)
- Antje Willuweit
- Institute of Neuroscience and Medicine-4 (INM-2, INM-4, INM-5, INM-11), Forschungszentrum Jülich, Jülich 52425, Germany.
| | - Swen Humpert
- Institute of Neuroscience and Medicine-4 (INM-2, INM-4, INM-5, INM-11), Forschungszentrum Jülich, Jülich 52425, Germany
| | - Michael Schöneck
- Institute of Neuroscience and Medicine-4 (INM-2, INM-4, INM-5, INM-11), Forschungszentrum Jülich, Jülich 52425, Germany
| | - Heike Endepols
- Institute of Neuroscience and Medicine-4 (INM-2, INM-4, INM-5, INM-11), Forschungszentrum Jülich, Jülich 52425, Germany; Institute of Radiochemistry and Experimental Molecular Imaging, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne 50937, Germany; Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne 50937, Germany
| | - Nicole Burda
- Institute of Neuroscience and Medicine-4 (INM-2, INM-4, INM-5, INM-11), Forschungszentrum Jülich, Jülich 52425, Germany
| | - Lothar Gremer
- Institute of Biological Information Processing (IBI-7), Forschungszentrum Jülich, Jülich 52425, Germany; Institut für Physikalische Biologie, Heinrich-Heine-Universität Düsseldorf, Düsseldorf 40225, Germany
| | - Ian Gering
- Institute of Biological Information Processing (IBI-7), Forschungszentrum Jülich, Jülich 52425, Germany
| | - Janine Kutzsche
- Institute of Biological Information Processing (IBI-7), Forschungszentrum Jülich, Jülich 52425, Germany
| | - N Jon Shah
- Institute of Neuroscience and Medicine-4 (INM-2, INM-4, INM-5, INM-11), Forschungszentrum Jülich, Jülich 52425, Germany; JARA - Brain - Translational Medicine, Aachen 52074, Germany; Department of Neurology, RWTH Aachen University, Aachen 52074, Germany
| | - Karl-Josef Langen
- Institute of Neuroscience and Medicine-4 (INM-2, INM-4, INM-5, INM-11), Forschungszentrum Jülich, Jülich 52425, Germany; Department of Nuclear Medicine, RWTH Aachen University, Aachen 52074, Germany
| | - Bernd Neumaier
- Institute of Neuroscience and Medicine-4 (INM-2, INM-4, INM-5, INM-11), Forschungszentrum Jülich, Jülich 52425, Germany; Institute of Radiochemistry and Experimental Molecular Imaging, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne 50937, Germany
| | - Dieter Willbold
- Institute of Biological Information Processing (IBI-7), Forschungszentrum Jülich, Jülich 52425, Germany; Institut für Physikalische Biologie, Heinrich-Heine-Universität Düsseldorf, Düsseldorf 40225, Germany
| | - Alexander Drzezga
- Institute of Neuroscience and Medicine-4 (INM-2, INM-4, INM-5, INM-11), Forschungszentrum Jülich, Jülich 52425, Germany; Department of Nuclear Medicine, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne 50937, Germany
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20
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Ophey A, Farrher E, Pagel N, Seger A, Doppler CEJ, Shah NJ, Kalbe E, Fink GR, Sommerauer M. Visuo-spatial processing is linked to cortical glutamate dynamics in Parkinson's disease - a 7 Tesla functional MRS study. Eur J Neurol 2023. [PMID: 37038631 DOI: 10.1111/ene.15818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 03/23/2023] [Accepted: 04/03/2023] [Indexed: 04/12/2023]
Abstract
BACKGROUND Cognitive decline is a frequent and debilitating non-motor symptom for patients with Parkinson's disease (PD). Metabolic alterations in the occipital cortex during visual processing may serve as a biomarker for cognitive decline in patients with PD. METHODS Sixteen patients with PD (UPDRS-III OFF: 38.69 ± 17.25) and ten age- and sex-matched healthy controls (HC) underwent 7 Tesla functional magnetic resonance spectroscopy (MRS) utilizing a visual checkerboard stimulation. Glutamate metabolite levels during rest versus stimulation were compared. Furthermore, correlates of the functional MRS response with performance in visuo-cognitive tests were investigated. RESULTS No differences in static MRS between patients with PD and HC were detected, but a dynamic glutamate response was observed in functional MRS in HC upon visual stimulation, which was blunted in patients with PD [F(1,22) = 7.13, p = .014; ηp 2 = 0.245]. A diminished glutamate response correlated with poorer performance in the Benton Judgment of Line Orientation test in PD (r = -0.57, p = .020). CONCLUSIONS Our results indicate that functional MRS captures even subtle differences in neural processing linked to the behavioral performance, missed by conventional, static MRS. Functional MRS, thus, represents a promising tool for studying molecular alterations at high sensitivity. Its prognostic potential should be evaluated in longitudinal studies, prospectively contributing to earlier diagnosis and individual treatment decisions.
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Affiliation(s)
- Anja Ophey
- Department of Medical Psychology | Neuropsychology and Gender Studies, Center for Neuropsychological Diagnostics and Intervention (CeNDI), University Hospital Cologne and Faculty of Medicine, University of Cologne, Cologne, Germany
| | | | - Nora Pagel
- Department of Neurology, University Hospital Cologne and Faculty of Medicine, University of Cologne, Cologne, Germany
| | - Aline Seger
- Department of Neurology, University Hospital Cologne and Faculty of Medicine, University of Cologne, Cologne, Germany
| | - Christopher E J Doppler
- Department of Neurology, University Hospital Cologne and Faculty of Medicine, University of Cologne, Cologne, Germany
- Cognitive Neuroscience, Institute for Neuroscience and Medicine, Jülich, Germany
| | - N Jon Shah
- Institute for Neuroscience and Medicine 4, Jülich, Germany
- Institute of Neuroscience and Medicine 11, Jülich, Germany
- JARA - BRAIN - Translational Medicine, Aachen, Germany
- Department of Neurology, RWTH Aachen University, Aachen, Germany
| | - Elke Kalbe
- Department of Medical Psychology | Neuropsychology and Gender Studies, Center for Neuropsychological Diagnostics and Intervention (CeNDI), University Hospital Cologne and Faculty of Medicine, University of Cologne, Cologne, Germany
| | - Gereon R Fink
- Department of Neurology, University Hospital Cologne and Faculty of Medicine, University of Cologne, Cologne, Germany
- Cognitive Neuroscience, Institute for Neuroscience and Medicine, Jülich, Germany
| | - Michael Sommerauer
- Department of Neurology, University Hospital Cologne and Faculty of Medicine, University of Cologne, Cologne, Germany
- Cognitive Neuroscience, Institute for Neuroscience and Medicine, Jülich, Germany
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21
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Ladd ME, Quick HH, Speck O, Bock M, Doerfler A, Forsting M, Hennig J, Ittermann B, Möller HE, Nagel AM, Niendorf T, Remy S, Schaeffter T, Scheffler K, Schlemmer HP, Schmitter S, Schreiber L, Shah NJ, Stöcker T, Uder M, Villringer A, Weiskopf N, Zaiss M, Zaitsev M. Germany's journey toward 14 Tesla human magnetic resonance. MAGMA 2023; 36:191-210. [PMID: 37029886 PMCID: PMC10140098 DOI: 10.1007/s10334-023-01085-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Revised: 03/23/2023] [Accepted: 03/27/2023] [Indexed: 04/09/2023]
Abstract
Multiple sites within Germany operate human MRI systems with magnetic fields either at 7 Tesla or 9.4 Tesla. In 2013, these sites formed a network to facilitate and harmonize the research being conducted at the different sites and make this technology available to a larger community of researchers and clinicians not only within Germany, but also worldwide. The German Ultrahigh Field Imaging (GUFI) network has defined a strategic goal to establish a 14 Tesla whole-body human MRI system as a national research resource in Germany as the next progression in magnetic field strength. This paper summarizes the history of this initiative, the current status, the motivation for pursuing MR imaging and spectroscopy at such a high magnetic field strength, and the technical and funding challenges involved. It focuses on the scientific and science policy process from the perspective in Germany, and is not intended to be a comprehensive systematic review of the benefits and technical challenges of higher field strengths.
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Affiliation(s)
- Mark E Ladd
- Medical Physics in Radiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany.
- Faculty of Medicine, Heidelberg University, Heidelberg, Germany.
- Faculty of Physics and Astronomy, Heidelberg University, Heidelberg, Germany.
- Erwin L. Hahn Institute for MRI, University of Duisburg-Essen, Essen, Germany.
| | - Harald H Quick
- Erwin L. Hahn Institute for MRI, University of Duisburg-Essen, Essen, Germany
- High-Field and Hybrid MR Imaging, University Hospital Essen, Essen, Germany
| | - Oliver Speck
- Department of Biomedical Magnetic Resonance, Otto von Guericke University Magdeburg, Magdeburg, Germany
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Center for Behavioural Brain Sciences, Magdeburg, Germany
- Leibniz Institute for Neurobiology (LIN), Magdeburg, Germany
| | - Michael Bock
- Division of Medical Physics, Department of Diagnostic and Interventional Radiology, Faculty of Medicine, Medical Center, University of Freiburg, Freiburg, Germany
| | - Arnd Doerfler
- Department of Neuroradiology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg (FAU), Erlangen, Germany
| | - Michael Forsting
- Institute of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany
| | - Jürgen Hennig
- Division of Medical Physics, Department of Diagnostic and Interventional Radiology, Faculty of Medicine, Medical Center, University of Freiburg, Freiburg, Germany
| | - Bernd Ittermann
- Medical Physics and Metrological Information Technology, Physikalisch-Technische Bundesanstalt (PTB), Berlin, Germany
| | - Harald E Möller
- Methods and Development Group Nuclear Magnetic Resonance, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Armin M Nagel
- Medical Physics in Radiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany
- Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg (FAU), Erlangen, Germany
| | - Thoralf Niendorf
- Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Stefan Remy
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
- Leibniz Institute for Neurobiology (LIN), Magdeburg, Germany
| | - Tobias Schaeffter
- Medical Physics and Metrological Information Technology, Physikalisch-Technische Bundesanstalt (PTB), Berlin, Germany
| | - Klaus Scheffler
- Magnetic Resonance Center, Max Planck Institute for Biological Cybernetics, Tübingen, Germany
- Department of Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany
| | | | - Sebastian Schmitter
- Medical Physics and Metrological Information Technology, Physikalisch-Technische Bundesanstalt (PTB), Berlin, Germany
| | - Laura Schreiber
- Department of Cardiovascular Imaging, Comprehensive Heart Failure Center, University Hospital Würzburg, Würzburg, Germany
| | - N Jon Shah
- Institute of Neuroscience and Medicine - 4, Forschungszentrum Jülich, Jülich, Germany
| | - Tony Stöcker
- MR Physics, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Michael Uder
- Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg (FAU), Erlangen, Germany
| | - Arno Villringer
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - Nikolaus Weiskopf
- Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Felix Bloch Institute for Solid State Physics, Faculty of Physics and Earth Sciences, Leipzig University, Leipzig, Germany
| | - Moritz Zaiss
- Department of Neuroradiology, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg (FAU), Erlangen, Germany
| | - Maxim Zaitsev
- Division of Medical Physics, Department of Diagnostic and Interventional Radiology, Faculty of Medicine, Medical Center, University of Freiburg, Freiburg, Germany
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22
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Régio Brambilla C, Scheins J, Tellmann L, Issa A, Herzog H, Shah NJ, Neuner I, Lerche CW. Impact of framing scheme optimization and smoking status on binding potential analysis in dynamic PET with [ 11C]ABP688. EJNMMI Res 2023; 13:11. [PMID: 36757553 PMCID: PMC9911569 DOI: 10.1186/s13550-023-00957-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 01/24/2023] [Indexed: 02/10/2023] Open
Abstract
BACKGROUND For positron emission tomography (PET) ligands, such as [11C]ABP688, to be able to provide more evidence about the glutamatergic hypothesis in schizophrenia (SZ), quantification bias during dynamic PET studies and its propagation into the estimated values of non-displaceable binding potential (BPND) must be addressed. This would enable more accurate quantification during bolus + infusion (BI) neuroreceptor studies and further our understanding of neurological diseases. Previous studies have shown BPND-related biases can often occur due to overestimated cerebellum activity (reference region). This work investigates whether an alternative framing scheme can minimize quantification biases propagated into BPND, whether confounders, such as smoking status, need to be controlled for during the study, and what the consequences for the data interpretation following analysis are. A group of healthy controls (HC) and a group of SZ patients (balanced and unbalanced number of smokers) were investigated with [11C]ABP688 and a BI protocol. Possible differences in BPND quantification as a function of smoking status were tested with constant 5 min ('Const 5 min') and constant true counts ('Const Trues') framing schemes. In order to find biomarkers for SZ, the differences in smoking effects were compared between groups. The normalized BPND and the balanced number of smokers and non-smokers for both framing schemes were evaluated. RESULTS When applying F-tests to the 'Const 5 min' framing scheme, effect sizes (η2p) and brain regions which showed significant effects fluctuated considerably with F = 50.106 ± 54.948 (9.389 to 112.607), P-values 0.005 to < 0.001 and η2p = 0.514 ± 0.282 (0.238 to 0.801). Conversely, when the 'Const Trues' framing scheme was applied, the results showed much smaller fluctuations with F = 78.038 ± 8.975 (86.450 to 68.590), P < 0.001 for all conditions and η2p = 0.730 ± 0.017 (0.742 to 0.710), and regions with significant effects were more robustly reproduced. Further, differences, which would indicate false positive identifications between HC and SZ groups in five brain regions when using the 'Const 5 min' framing scheme, were not observed with the 'Const Trues' framing. CONCLUSIONS Based on an [11C]ABP688 PET study in SZ patients, the results show that non-consistent BPND outcomes can be propagated by the framing scheme and that potential bias can be minimized using 'Const Trues' framing.
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Affiliation(s)
- Cláudia Régio Brambilla
- Institute of Neuroscience and Medicine, INM-4, Forschungszentrum Jülich GmbH, Jülich, Germany.
| | - Jürgen Scheins
- grid.8385.60000 0001 2297 375XInstitute of Neuroscience and Medicine, INM-4, Forschungszentrum Jülich GmbH, Jülich, Germany
| | - Lutz Tellmann
- grid.8385.60000 0001 2297 375XInstitute of Neuroscience and Medicine, INM-4, Forschungszentrum Jülich GmbH, Jülich, Germany
| | - Ahlam Issa
- grid.8385.60000 0001 2297 375XInstitute of Neuroscience and Medicine, INM-4, Forschungszentrum Jülich GmbH, Jülich, Germany
| | - Hans Herzog
- grid.8385.60000 0001 2297 375XInstitute of Neuroscience and Medicine, INM-4, Forschungszentrum Jülich GmbH, Jülich, Germany
| | - N. Jon Shah
- grid.8385.60000 0001 2297 375XInstitute of Neuroscience and Medicine, INM-4, Forschungszentrum Jülich GmbH, Jülich, Germany ,grid.8385.60000 0001 2297 375XInstitute of Neuroscience and Medicine, INM-11, Forschungszentrum Jülich GmbH, Jülich, Germany ,grid.1957.a0000 0001 0728 696XJARA – BRAIN – Translational Medicine, RWTH Aachen University, Aachen, Germany ,grid.1957.a0000 0001 0728 696XDepartment of Neurology, RWTH Aachen University, Aachen, Germany
| | - Irene Neuner
- grid.8385.60000 0001 2297 375XInstitute of Neuroscience and Medicine, INM-4, Forschungszentrum Jülich GmbH, Jülich, Germany ,grid.1957.a0000 0001 0728 696XDepartment of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany ,grid.1957.a0000 0001 0728 696XJARA – BRAIN – Translational Medicine, RWTH Aachen University, Aachen, Germany
| | - Christoph W. Lerche
- grid.8385.60000 0001 2297 375XInstitute of Neuroscience and Medicine, INM-4, Forschungszentrum Jülich GmbH, Jülich, Germany
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23
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Shin S, Yun SD, Shah NJ. T2* quantification using multi-echo gradient echo sequences: a comparative study of different readout gradients. Sci Rep 2023; 13:1138. [PMID: 36670286 PMCID: PMC9860026 DOI: 10.1038/s41598-023-28265-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 01/16/2023] [Indexed: 01/22/2023] Open
Abstract
To quantify T2*, multiple echoes are typically acquired with a multi-echo gradient echo sequence using either monopolar or bipolar readout gradients. The use of bipolar readout gradients achieves a shorter echo spacing time, enabling the acquisition of a larger number of echoes in the same scan time. However, despite their relative time efficiency and the potential for more accurate quantification, a comparative investigation of these readout gradients has not yet been addressed. This work aims to compare the performance of monopolar and bipolar readout gradients for T2* quantification. The differences in readout gradients were theoretically investigated with a Cramér-Rao lower bound and validated with computer simulations with respect to the various imaging parameters (e.g., flip angle, TR, TE, TE range, and BW). The readout gradients were then compared at 3 T using phantom and in vivo experiments. The bipolar readout gradients provided higher precision than monopolar readout gradients in both computer simulations and experimental results. The difference between the two readout gradients increased for a lower SNR and smaller TE range, consistent with the prediction made using Cramér-Rao lower bound. The use of bipolar readout gradients is advantageous for regions or situations where a lower SNR is expected or a shorter acquisition time is required.
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Affiliation(s)
- Seonyeong Shin
- grid.8385.60000 0001 2297 375XInstitute of Neuroscience and Medicine 4, Forschungszentrum Jülich, INM-4, 52428 Jülich, Germany ,grid.1957.a0000 0001 0728 696XRWTH Aachen University, Aachen, Germany
| | - Seong Dae Yun
- grid.8385.60000 0001 2297 375XInstitute of Neuroscience and Medicine 4, Forschungszentrum Jülich, INM-4, 52428 Jülich, Germany
| | - N. Jon Shah
- grid.8385.60000 0001 2297 375XInstitute of Neuroscience and Medicine 4, Forschungszentrum Jülich, INM-4, 52428 Jülich, Germany ,grid.1957.a0000 0001 0728 696XRWTH Aachen University, Aachen, Germany ,grid.494742.8Institute of Neuroscience and Medicine 11, JARA, Forschungszentrum Jülich, INM-11, Jülich, Germany ,JARA-BRAIN-Translational Medicine, Aachen, Germany ,grid.1957.a0000 0001 0728 696XDepartment of Neurology, RWTH Aachen University, Aachen, Germany
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24
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Li C, Scheins J, Tellmann L, Issa A, Wei L, Shah NJ, Lerche C. Fast 3D kernel computation method for positron range correction in PET. Phys Med Biol 2023; 68. [PMID: 36595256 DOI: 10.1088/1361-6560/acaa84] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 12/09/2022] [Indexed: 12/13/2022]
Abstract
Objective. The positron range is a fundamental, detector-independent physical limitation to spatial resolution in positron emission tomography (PET) as it causes a significant blurring of underlying activity distribution in the reconstructed images. A major challenge for positron range correction methods is to provide accurate range kernels that inherently incorporate the generally inhomogeneous stopping power, especially at tissue boundaries. In this work, we propose a novel approach to generate accurate three-dimensional (3D) blurring kernels both in homogenous and heterogeneous media to improve PET spatial resolution.Approach. In the proposed approach, positron energy deposition was approximately tracked along straight paths, depending on the positron stopping power of the underlying material. The positron stopping power was derived from the attenuation coefficient of 511 keV gamma photons according to the available PET attenuation maps. Thus, the history of energy deposition is taken into account within the range of kernels. Special emphasis was placed on facilitating the very fast computation of the positron annihilation probability in each voxel.Results. Positron path distributions of18F in low-density polyurethane were in high agreement with Geant4 simulation at an annihilation probability larger than 10-2∼ 10-3of the maximum annihilation probability. The Geant4 simulation was further validated with measured18F depth profiles in these polyurethane phantoms. The tissue boundary of water with cortical bone and lung was correctly modeled. Residual artifacts from the numerical computations were in the range of 1%. The calculated annihilation probability in voxels shows an overall difference of less than 20% compared to the Geant4 simulation.Significance. The proposed method is expected to significantly improve spatial resolution for non-standard isotopes by providing sufficiently accurate range kernels, even in the case of significant tissue inhomogeneities.
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Affiliation(s)
- Chong Li
- Institute of Neuroscience and Medicine, INM-4, Forschungszentrum GmbH, Jülich, Germany.,Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, People's Republic of China
| | - Jürgen Scheins
- Institute of Neuroscience and Medicine, INM-4, Forschungszentrum GmbH, Jülich, Germany
| | - Lutz Tellmann
- Institute of Neuroscience and Medicine, INM-4, Forschungszentrum GmbH, Jülich, Germany
| | - Ahlam Issa
- Institute of Neuroscience and Medicine, INM-4, Forschungszentrum GmbH, Jülich, Germany.,Department of Neurology, RWTH Aachen University, Aachen, Germany.,JARA-BRAIN-Translational Medicine, RWTH Aachen University, Aachen, Germany
| | - Long Wei
- Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, People's Republic of China
| | - N Jon Shah
- Institute of Neuroscience and Medicine, INM-4, Forschungszentrum GmbH, Jülich, Germany.,Institute of Neuroscience and Medicine, INM-11, Forschungszentrum GmbH, Jülich, Germany.,Department of Neurology, RWTH Aachen University, Aachen, Germany.,JARA-BRAIN-Translational Medicine, RWTH Aachen University, Aachen, Germany
| | - Christoph Lerche
- Institute of Neuroscience and Medicine, INM-4, Forschungszentrum GmbH, Jülich, Germany
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25
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Schnellbächer GJ, Rajkumar R, Veselinović T, Ramkiran S, Hagen J, Shah NJ, Neuner I. Structural alterations of the insula in depression patients - A 7-Tesla-MRI study. Neuroimage Clin 2022; 36:103249. [PMID: 36451355 PMCID: PMC9668670 DOI: 10.1016/j.nicl.2022.103249] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 09/26/2022] [Accepted: 10/23/2022] [Indexed: 11/11/2022]
Abstract
INTRODUCTION The insular cortex is part of a network of highly connected cerebral "rich club" - regions and has been implicated in the pathophysiology of various psychiatric and neurological disorders, of which major depressive disease is one of the most prevalent. "Rich club" vulnerability can be a contributing factor in disease development. High-resolution structural subfield analysis of insular volume in combination with cortical thickness measurements and psychological testing might elucidate the way in which the insula is changed in depression. MATERIAL AND METHODS High-resolution structural images of the brain were acquired using a 7T-MRI scanner. The mean grey matter volume and cortical thickness within the insular subfields were analysed using voxel-based morphometry (VBM) and surface analysis techniques respectively. Insular subfields were defined according to the Brainnetome Atlas for VBM - and the Destrieux-Atlas for cortical thickness - analysis. Thirty-three patients with confirmed major depressive disease, as well as thirty-one healthy controls matched for age and gender, were measured. The severity of depression in MDD patients was measured via a BDI-II score and objective clinical assessment (AMDP). Intergroup statistical analysis was performed using ANCOVA. An intragroup multivariate regression analysis of patient psychological test results was calculated. Corrections for multiple comparisons was performed using FDR. RESULTS Significant differences between groups were observed in the left granular dorsal insula according to VBM-analysis. AMDP-scores positively correlated with cortical thickness in the right superior segment of the circular insular sulcus. CONCLUSIONS The combination of differences in grey matter volume between healthy controls and patients with a positive correlation of cortical thickness with disease severity underscores the insula's role in the pathogeneses of MDD. The connectivity hub insular cortex seems vulnerable to disruption in context of affective disease.
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Affiliation(s)
- Gereon J. Schnellbächer
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, 52074 Aachen, Germany
| | - Ravichandran Rajkumar
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, 52074 Aachen, Germany,Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Germany,JARA-BRAIN, 52074 Aachen, Germany
| | - Tanja Veselinović
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, 52074 Aachen, Germany,Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Germany
| | - Shukti Ramkiran
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, 52074 Aachen, Germany,Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Germany
| | - Jana Hagen
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, 52074 Aachen, Germany
| | - N. Jon Shah
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Germany,JARA-BRAIN, 52074 Aachen, Germany,Department of Neurology, RWTH Aachen University, 52074 Aachen, Germany,Institute of Neuroscience and Medicine 11, INM-11, Forschungszentrum Jülich, Germany
| | - Irene Neuner
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, 52074 Aachen, Germany,Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Germany,JARA-BRAIN, 52074 Aachen, Germany,Corresponding author.
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Jara H, Sakai O, Farrher E, Oros-Peusquens AM, Shah NJ, Alsop DC, Keenan KE. Primary Multiparametric Quantitative Brain MRI: State-of-the-Art Relaxometric and Proton Density Mapping Techniques. Radiology 2022; 305:5-18. [PMID: 36040334 PMCID: PMC9524578 DOI: 10.1148/radiol.211519] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 05/01/2022] [Accepted: 05/24/2022] [Indexed: 11/11/2022]
Abstract
This review on brain multiparametric quantitative MRI (MP-qMRI) focuses on the primary subset of quantitative MRI (qMRI) parameters that represent the mobile ("free") and bound ("motion-restricted") proton pools. Such primary parameters are the proton densities, relaxation times, and magnetization transfer parameters. Diffusion qMRI is also included because of its wide implementation in complete clinical MP-qMRI application. MP-qMRI advances were reviewed over the past 2 decades, with substantial progress observed toward accelerating image acquisition and increasing mapping accuracy. Areas that need further investigation and refinement are identified as follows: (a) the biologic underpinnings of qMRI parameter values and their changes with age and/or disease and (b) the theoretical limitations implicitly built into most qMRI mapping algorithms that do not distinguish between the different spatial scales of voxels versus spin packets, the central physical object of the Bloch theory. With rapidly improving image processing techniques and continuous advances in computer hardware, MP-qMRI has the potential for implementation in a wide range of clinical applications. Currently, three emerging MP-qMRI applications are synthetic MRI, macrostructural qMRI, and microstructural tissue modeling.
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Affiliation(s)
- Hernán Jara
- From the Department of Radiology, Boston University, 670 Albany St,
Boston, Mass 02118 (H.J., O.S.); Institute of Neuroscience and Medicine-4,
Forschungszentrum Jülich, Jülich, Germany (E.F., A.M.O.P.,
N.J.S.); Department of Radiology, Beth Israel Deaconess Medical Center, Harvard
Medical School, Boston, Mass (D.C.A.); and Physical Measurement Laboratory,
National Institute of Standards and Technology, Boulder, Colo (K.E.K.)
| | - Osamu Sakai
- From the Department of Radiology, Boston University, 670 Albany St,
Boston, Mass 02118 (H.J., O.S.); Institute of Neuroscience and Medicine-4,
Forschungszentrum Jülich, Jülich, Germany (E.F., A.M.O.P.,
N.J.S.); Department of Radiology, Beth Israel Deaconess Medical Center, Harvard
Medical School, Boston, Mass (D.C.A.); and Physical Measurement Laboratory,
National Institute of Standards and Technology, Boulder, Colo (K.E.K.)
| | - Ezequiel Farrher
- From the Department of Radiology, Boston University, 670 Albany St,
Boston, Mass 02118 (H.J., O.S.); Institute of Neuroscience and Medicine-4,
Forschungszentrum Jülich, Jülich, Germany (E.F., A.M.O.P.,
N.J.S.); Department of Radiology, Beth Israel Deaconess Medical Center, Harvard
Medical School, Boston, Mass (D.C.A.); and Physical Measurement Laboratory,
National Institute of Standards and Technology, Boulder, Colo (K.E.K.)
| | - Ana-Maria Oros-Peusquens
- From the Department of Radiology, Boston University, 670 Albany St,
Boston, Mass 02118 (H.J., O.S.); Institute of Neuroscience and Medicine-4,
Forschungszentrum Jülich, Jülich, Germany (E.F., A.M.O.P.,
N.J.S.); Department of Radiology, Beth Israel Deaconess Medical Center, Harvard
Medical School, Boston, Mass (D.C.A.); and Physical Measurement Laboratory,
National Institute of Standards and Technology, Boulder, Colo (K.E.K.)
| | - N. Jon Shah
- From the Department of Radiology, Boston University, 670 Albany St,
Boston, Mass 02118 (H.J., O.S.); Institute of Neuroscience and Medicine-4,
Forschungszentrum Jülich, Jülich, Germany (E.F., A.M.O.P.,
N.J.S.); Department of Radiology, Beth Israel Deaconess Medical Center, Harvard
Medical School, Boston, Mass (D.C.A.); and Physical Measurement Laboratory,
National Institute of Standards and Technology, Boulder, Colo (K.E.K.)
| | - David C. Alsop
- From the Department of Radiology, Boston University, 670 Albany St,
Boston, Mass 02118 (H.J., O.S.); Institute of Neuroscience and Medicine-4,
Forschungszentrum Jülich, Jülich, Germany (E.F., A.M.O.P.,
N.J.S.); Department of Radiology, Beth Israel Deaconess Medical Center, Harvard
Medical School, Boston, Mass (D.C.A.); and Physical Measurement Laboratory,
National Institute of Standards and Technology, Boulder, Colo (K.E.K.)
| | - Kathryn E. Keenan
- From the Department of Radiology, Boston University, 670 Albany St,
Boston, Mass 02118 (H.J., O.S.); Institute of Neuroscience and Medicine-4,
Forschungszentrum Jülich, Jülich, Germany (E.F., A.M.O.P.,
N.J.S.); Department of Radiology, Beth Israel Deaconess Medical Center, Harvard
Medical School, Boston, Mass (D.C.A.); and Physical Measurement Laboratory,
National Institute of Standards and Technology, Boulder, Colo (K.E.K.)
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Kocher M, Jockwitz C, Lohmann P, Stoffels G, Filss C, Motthagy FM, Ruge MI, Weiss Lucas C, Goldbrunner R, Shah NJ, Fink GR, Galldiks N, Langen K, Caspers S. P01.01.A Lesion-Function Analysis from Multimodal Imaging and Normative Brain Atlases for Prediction of Cognitive Deficits in Glioma Patients. Neuro Oncol 2022. [DOI: 10.1093/neuonc/noac174.073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Cognitive deficits are common in glioma patients following multimodality therapy, but the relative impact of different types and locations of treatment-related brain damage and recurrent tumors on cognition is not well understood.
Material and Methods
In 121 WHO Grade III/IV glioma patients, structural MRI, O-(2-[18F]fluoroethyl)-L-tyrosine FET-PET, and neuropsychological testing were performed at a median interval of 14 months (range, 1-214 months) after therapy initiation. Resection cavities, T1-enhancing lesions, T2/FLAIR hyperintensities, and FET-PET positive tumor sites were semiautomatically segmented and elastically registered to a normative, resting state (RS) fMRI-based functional cortical network atlas and to the JHU atlas of white matter (WM) tracts, and their influence on cognitive test scores relative to a cohort of matched healthy subjects was assessed.
Results
T2/FLAIR hyperintensities presumably caused by radiation therapy covered more extensive brain areas than the other lesion types and significantly impaired cognitive performance in many domains when affecting left-hemispheric RS-nodes and WM-tracts as opposed to brain tissue damage caused by resection or recurrent tumors. Verbal episodic memory proved to be especially vulnerable to T2/FLAIR abnormalities affecting the nodes and tracts of the left temporal lobe.
Conclusion
In order to improve radiotherapy planning, publicly available brain atlases, in conjunction with elastic registration techniques, should be used, similar to neuronavigation in neurosurgery.
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Affiliation(s)
- M Kocher
- University of Cologne , Cologne , Germany
- Research Center Juelich , Juelich , Germany
| | - C Jockwitz
- Research Center Juelich , Juelich , Germany
| | - P Lohmann
- Research Center Juelich , Juelich , Germany
| | - G Stoffels
- Research Center Juelich , Juelich , Germany
| | - C Filss
- Research Center Juelich , Juelich , Germany
| | - F M Motthagy
- Research Center Juelich , Juelich , Germany
- RWTH Aachen University , Aachen , Germany
| | - M I Ruge
- University of Cologne , Cologne , Germany
| | | | | | - N J Shah
- Research Center Juelich , Juelich , Germany
| | - G R Fink
- University of Cologne , Cologne , Germany
| | - N Galldiks
- University of Cologne , Cologne , Germany
| | - K Langen
- Research Center Juelich , Juelich , Germany
- RWTH Aachen University , Aachen , Germany
| | - S Caspers
- Research Center Juelich , Juelich , Germany
- University Duesseldorf , Duesseldorf , Germany
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28
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Kocher M, Jockwitz C, Lerche C, Sabel M, Lohmann P, Stoffels G, Filss C, Motthagy FM, Ruge MI, Fink GR, Shah NJ, Galldiks N, Caspers S, Langen K. P01.02.B Case Report: Disruption of Resting-State Networks and Cognitive Deficits After Whole Brain Irradiation for Singular Brain Metastasis. Neuro Oncol 2022. [DOI: 10.1093/neuonc/noac174.074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Long-term survivors of whole brain radiation (WBRT) are at significant risk for developing cognitive deficits, but knowledge about the underlying pathophysiological mechanisms is limited. Therefore, we here report a rare case with a singular brain metastasis treated by resection and WBRT that survived for more than 10 years where we investigated the integrity of brain networks using resting-state functional MRI.
Material and Methods
A female patient with a left frontal non-small cell lung cancer (NSCLC) brain metastasis had resection and postoperative WBRT (30.0 in 3.0Gy fractions) and stayed free from brain metastasis recurrence for a follow-up period of 11 years. Structural magnetic resonance imaging (MRI) and amino acid [O-(2-[18F]fluoroethyl)-L-tyrosine] positron emission tomography (FET PET) were repeatedly acquired. At the last follow up, neurocognitive functions and resting-state functional connectivity (RSFC) using resting-state fMRI were assessed. Within-network and inter-network connectivity of seven resting-state networks were computed from a connectivity matrix. All measures were compared to a matched group of 10 female healthy subjects.
Results
At the 11-year follow-up, T2/FLAIR MR images of the patient showed extended regions of hyper-intensities covering mainly the white matter of the bilateral dorsal frontal and parietal lobes while sparing most of the temporal lobes. Compared to the healthy subjects, the patient performed significantly worse in all cognitive domains that included executive functions, attention and processing speed, while verbal working memory, verbal episodic memory, and visual working memory were left mostly unaffected. The connectivity matrix showed a heavily disturbed pattern with a widely distributed, scattered loss of RSFC. The within-network RSFC revealed a significant loss of connectivity within all seven networks where the dorsal attention and fronto-parietal
control networks were affected most severely. The inter-network RSFC was significantly reduced for the visual, somato-motor, and dorsal and ventral attention networks.
Conclusion
As demonstrated here in a patient with a metastatic NSCLC and long-term survival, WBRT may lead to extended white matter damage and cause severe disruption of the RSFC in multiple resting state networks. In consequence, executive functioning which is assumed to depend on the interaction of several networks may be severely impaired following WBRT apart from the well-recognized deficits in memory function.
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Affiliation(s)
- M Kocher
- University of Cologne , Cologne , Germany
- Research Center Juelich , Juelich , Germany
| | - C Jockwitz
- Research Center Juelich , Juelich , Germany
- University Duesseldorf , Duesseldorf , Germany
| | - C Lerche
- Research Center Juelich , Juelich , Germany
| | - M Sabel
- University Duesseldorf , Duesseldorf , Germany
| | - P Lohmann
- Research Center Juelich , Juelich , Germany
| | - G Stoffels
- Research Center Juelich , Juelich , Germany
| | - C Filss
- Research Center Juelich , Juelich , Germany
| | | | - M I Ruge
- University of Cologne , Cologne , Germany
| | - G R Fink
- University of Cologne , Cologne , Germany
| | - N J Shah
- Research Center Juelich , Juelich , Germany
| | - N Galldiks
- University of Cologne , Cologne , Germany
- Research Center Juelich , Juelich , Germany
| | - S Caspers
- Research Center Juelich , Juelich , Germany
- University Duesseldorf , Duesseldorf , Germany
| | - K Langen
- Research Center Juelich , Juelich , Germany
- RWTH Aachen University , Aachen , Germany
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29
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Friedrich M, Farrher E, Caspers S, Lohmann P, Stoffels G, Filss C, Weiss Lucas C, Ruge MI, Langen KJ, Shah NJ, Fink GR, Galldiks N, Kocher M. KS05.5.A Alterations in white matter fiber density associated with structural MRI and metabolic PET lesions following multimodal therapy in glioma patients. Neuro Oncol 2022. [DOI: 10.1093/neuonc/noac174.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
In glioma patients, multimodal therapy and recurrent tumor result in local brain tissue changes, characterized by pathologic findings in structural MRI and metabolic PET images. Little is known about these different lesion types’ impact on the local white matter fiber architecture and clinical outcome.
Patients and Methods
This study included data from 121 pretreated patients (median age, 52 years; ECOG, 01) with histomolecularly characterized glioma (WHO grade IV glioblastoma, n=81; WHO grade III anaplastic astrocytoma, n=28; WHO grade III anaplastic oligodendroglioma, n=12), who had a resection, radiotherapy, alkylating chemotherapy, or combinations thereof. After a median time of 14 months (range, 1-214 months), post-therapeutic structural and metabolic findings were evaluated using anatomical MRI and O-(2-[18F]fluoroethyl)-L-tyrosine (FET) PET acquired on a 3T hybrid PET/MR scanner. Local fiber density was estimated from tractography based on highangular resolution diffusion-weighted imaging. A cohort of 121 healthy subjects selected from the 1000BRAINS study and matched for age, gender and education served as a control group.
Results
The median volume of resection cavities, contrast-enhancing regions, regions with pathologically increased FET uptake, and T2/FLAIR hyperintense regions amounted to 20.9, 7.9, 30.3, and 53.4 mL, respectively. Compared to the control group, the average local fiber density in these regions was significantly reduced (p<0.001). Resection cavities showed the highest reduction, followed by contrast-enhancing lesions and metabolically active tumors on FET PET (relative fiber density reduction, -87%, -65%, -55%, respectively). The local fiber density was inversely related (p=0.005) to the FET uptake in recurrent tumors. T2/FLAIR hyperintense lesions, either assigned to peritumoral edema in recurrent glioma or radiation-induced gliosis, had a comparable impact on reducing fiber density (48% and 41%, respectively). The total fiber loss (average fiber loss multiplied by lesion volume) associated with contrast-enhancing lesions (p=0.006) and T2/FLAIR hyperintense lesions (p=0.013) had a significant impact on the general performance status of the patients (ECOG score).
Conclusions
Our results suggest that apart from resection cavities, reduction in local fiber density is greatest in contrast-enhancing recurrent tumors, but total fiber loss induced by edema or gliosis has an equal detrimental effect on the patients’ performance due to the larger volume affected.
Funding
Funded by the 1000BRAINS study (INM, Research Centre Juelich, Germany), Horizon 2020 (Grant No. 945539 (HBP SGA3; SC)), and Heinz Nixdorf Foundation.
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Affiliation(s)
- M Friedrich
- Institute of Neuroscience and Medicine (INM-1, -3, -4, -11), Research Center Juelich , Juelich , Germany
| | - E Farrher
- Institute of Neuroscience and Medicine (INM-1, -3, -4, -11), Research Center Juelich , Juelich , Germany
| | - S Caspers
- Institute of Neuroscience and Medicine (INM-1, -3, -4, -11), Research Center Juelich , Juelich , Germany
- Institute for Anatomy I, Medical Faculty and University Hospital Duesseldorf, Heinrich Heine University Duesseldorf , Duesseldorf , Germany
| | - P Lohmann
- Institute of Neuroscience and Medicine (INM-1, -3, -4, -11), Research Center Juelich , Juelich , Germany
- Department of Stereotaxy and Functional Neurosurgery, Center for Neurosurgery, Faculty of Medicine and University Hospital Cologne , Cologne , Germany
| | - G Stoffels
- Institute of Neuroscience and Medicine (INM-1, -3, -4, -11), Research Center Juelich , Juelich , Germany
| | - C Filss
- Institute of Neuroscience and Medicine (INM-1, -3, -4, -11), Research Center Juelich , Juelich , Germany
- Department of Nuclear Medicine, University Hospital Aachen, RWTH Aachen University , Aachen , Germany
| | - C Weiss Lucas
- Department of General Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne , Cologne , Germany
| | - M I Ruge
- Department of Stereotaxy and Functional Neurosurgery, Center for Neurosurgery, Faculty of Medicine and University Hospital Cologne , Cologne , Germany
| | - K J Langen
- Institute of Neuroscience and Medicine (INM-1, -3, -4, -11), Research Center Juelich , Juelich , Germany
- Department of Nuclear Medicine, University Hospital Aachen, RWTH Aachen University , Aachen , Germany
| | - N J Shah
- Institute of Neuroscience and Medicine (INM-1, -3, -4, -11), Research Center Juelich , Juelich , Germany
- Department of Neurology, University Hospital Aachen, RWTH Aachen University , Aachen , Germany
| | - G R Fink
- Institute of Neuroscience and Medicine (INM-1, -3, -4, -11), Research Center Juelich , Juelich , Germany
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne , Cologne , Germany
| | - N Galldiks
- Institute of Neuroscience and Medicine (INM-1, -3, -4, -11), Research Center Juelich , Juelich , Germany
- Department of Neurology, Faculty of Medicine and University Hospital Cologne, University of Cologne , Cologne , Germany
| | - M Kocher
- Institute of Neuroscience and Medicine (INM-1, -3, -4, -11), Research Center Juelich , Juelich , Germany
- Department of Stereotaxy and Functional Neurosurgery, Center for Neurosurgery, Faculty of Medicine and University Hospital Cologne , Cologne , Germany
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30
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C Thomas D, Oros-Peusquens AM, Poot D, Shah NJ. Whole-Brain Water Content Mapping Using Super-Resolution Reconstruction with MRI Acquisition in 3 Orthogonal Orientations. Magn Reson Med 2022; 88:2117-2130. [PMID: 35861258 DOI: 10.1002/mrm.29377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 06/13/2022] [Accepted: 06/13/2022] [Indexed: 11/11/2022]
Abstract
PURPOSE Brain water content provides rich tissue contrast comparable to that of longitudinal relaxation time T1 , but mapping is usually performed at modest resolution. In particular, the slice thickness in 2D mapping methods is limited. Here, we combine super-resolution reconstruction techniques with a fast water content mapping method to acquire high and isotropic resolution (0.75 mm) water content maps at 3 Tesla. METHODS A high-resolution multi-echo gradient echo image is super-resolution-reconstructed from 3 low-resolution, orthogonal multi-echo gradient echo image acquisitions, followed by water content mapping. The mapping accuracy and SNR of the proposed method are assessed using numerical simulations, phantom studies, and in vivo data acquired from 6 healthy volunteers at 3 Tesla. A high-resolution acquisition with an established mapping method is used as a reference. RESULTS Whole-brain water content maps with 0.75 mm isotropic resolution are demonstrated. No bias in the water content values was seen following super-resolution reconstruction. In the in vivo experiments, a lower SD of the mean water content values was observed with the proposed method compared to the reference method. CONCLUSIONS Super-resolution reconstruction of multi-echo gradient echo data is demonstrated, enabling whole-brain water content mapping with high and isotropic resolution. The accuracy of the proposed method is shown using phantoms and 6 healthy volunteers and was found to be unchanged compared to the conventional acquisition. The proposed method could increase the sensitivity of water content mapping sufficiently to enable the detection of very small lesions, such as cortical lesions in multiple sclerosis.
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Affiliation(s)
- Dennis C Thomas
- Institute of Neuroscience and Medicine 4, Jülich, Germany.,Faculty of Medicine, RWTH Aachen University, Aachen, Germany
| | | | - Dirk Poot
- Department of Radiology and Nuclear medicine, Erasmus Medical Centre, Rotterdam, The Netherlands
| | - N Jon Shah
- Institute of Neuroscience and Medicine 4, Jülich, Germany.,Institute of Neuroscience and Medicine 11, INM-11, JARA, Jülich, Germany.,JARA - BRAIN - Translational Medicine, Aachen, Germany.,Department of Neurology, RWTH Aachen University, Aachen, Germany
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31
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Yun SD, Pais‐Roldán P, Palomero‐Gallagher N, Shah NJ. Cover Image. Hum Brain Mapp 2022. [DOI: 10.1002/hbm.25506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022] Open
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32
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Schwan S, Khezami A, Hohnholz J, Lerche C, Shah NJ. A software-based approach for calculating spatially resolved radiation exposure for structural radiation protection in nuclear medical imaging. J Radiol Prot 2022; 42:021531. [PMID: 35705007 DOI: 10.1088/1361-6498/ac7916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 06/15/2022] [Indexed: 06/15/2023]
Abstract
The objective of the work described is the development of a software tool to provide the calculation routines for structural radiation protection from positron and gamma emitters, for example,18F. The calculation of the generated local annual dose in the vicinity of these radioactive sources supports the engineering of structural measures necessary to meet regulatory guidelines. In addition to accuracy and precision, a visual and intuitive presentation of the calculation results enables fast evaluation. Finally, the calculated results are presented in a contour plot for design, evaluation, and documentation purposes. A python program was used to provide the calculation routines for structural radiation protection. For simplicity, the radiating sources can be considered as point sources. The attenuation of structural elements can be specified or, in the case of lead, calculated by virtue of its thickness. The calculated attenuation for the lead shielding is always slightly underestimated, which leads to a marginally higher calculated local dose rate than would be physically present. With the conservatively determined value, the structural radiation protection can be optimised in accordance with the general rule of as low as reasonably achievable. The pointwise comparison between the software results and the standard procedure for calculating the dose of points in space leads to similar values. In comparison with the general approach of calculating single representative points in the radiation protection area, the visual and intuitive presentation of the results supports the design and documentation of the measures required for structural radiation protection. In the present version of the software, the local dose rate and local annual dose are overestimated by a maximum of 4.5% in the case of lead shields. The proposed software, termed RadSoft, was successfully used to develop the structural radiation protection of a controlled area for hybrid magnetic resonance - positron emission tomography imaging, with the focus herein being on the requirements for PET.
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Affiliation(s)
- Stefan Schwan
- Institute of Neuroscience and Medicine-4, Forschungszentrum Jülich GmbH, Jülich, Germany
| | - Arbia Khezami
- Imaging Core Facility, Forschungszentrum Jülich GmbH, Jülich, Germany
| | - Janina Hohnholz
- Institute of Neuroscience and Medicine-4, Forschungszentrum Jülich GmbH, Jülich, Germany
| | - Christoph Lerche
- Institute of Neuroscience and Medicine-4, Forschungszentrum Jülich GmbH, Jülich, Germany
| | - N Jon Shah
- Institute of Neuroscience and Medicine-4, Forschungszentrum Jülich GmbH, Jülich, Germany
- Institute of Neuroscience and Medicine-11, Forschungszentrum Jülich GmbH, Jülich, Germany
- Department of Neurology, Faculty of Medicine, RWTH Aachen University, Aachen, Germany
- JARA-BRAIN-Translational Medicine, RWTH Aachen University, Aachen, Germany
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33
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Weiss Lucas C, Faymonville AM, Loução R, Schroeter C, Nettekoven C, Oros-Peusquens AM, Langen KJ, Shah NJ, Stoffels G, Neuschmelting V, Blau T, Neuschmelting H, Hellmich M, Kocher M, Grefkes C, Goldbrunner R. Surgery of Motor Eloquent Glioblastoma Guided by TMS-Informed Tractography: Driving Resection Completeness Towards Prolonged Survival. Front Oncol 2022; 12:874631. [PMID: 35692752 PMCID: PMC9186060 DOI: 10.3389/fonc.2022.874631] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2022] [Accepted: 03/21/2022] [Indexed: 12/13/2022] Open
Abstract
Background Surgical treatment of patients with glioblastoma affecting motor eloquent brain regions remains critically discussed given the risk–benefit dilemma of prolonging survival at the cost of motor-functional damage. Tractography informed by navigated transcranial magnetic stimulation (nTMS-informed tractography, TIT) provides a rather robust estimate of the individual location of the corticospinal tract (CST), a highly vulnerable structure with poor functional reorganisation potential. We hypothesised that by a more comprehensive, individualised surgical decision-making using TIT, tumours in close relationship to the CST can be resected with at least equal probability of gross total resection (GTR) than less eloquently located tumours without causing significantly more gross motor function harm. Moreover, we explored whether the completeness of TIT-aided resection translates to longer survival. Methods A total of 61 patients (median age 63 years, m = 34) with primary glioblastoma neighbouring or involving the CST were operated on between 2010 and 2015. TIT was performed to inform surgical planning in 35 of the patients (group T; vs. 26 control patients). To achieve largely unconfounded group comparisons for each co-primary outcome (i.e., gross-motor functional worsening, GTR, survival), (i) uni- and multivariate regression analyses were performed to identify features of optimal outcome prediction; (ii), optimal propensity score matching (PSM) was applied to balance those features pairwise across groups, followed by (iii) pairwise group comparison. Results Patients in group T featured a significantly higher lesion-CST overlap compared to controls (8.7 ± 10.7% vs. 3.8 ± 5.7%; p = 0.022). The frequency of gross motor worsening was higher in group T, albeit non-significant (n = 5/35 vs. n = 0/26; p = 0.108). PSM-based paired-sample comparison, controlling for the confounders of preoperative tumour volume and vicinity to the delicate vasculature of the insula, showed higher GTR rates in group T (77% vs. 69%; p = 0.025), particularly in patients with a priori intended GTR (87% vs. 78%; p = 0.003). This translates into a prolonged PFS in the same PSM subgroup (8.9 vs. 5.8 months; p = 0.03), with GTR representing the strongest predictor of PFS (p = 0.001) and OS (p = 0.0003) overall. Conclusion The benefit of TIT-aided GTR appears to overcome the drawbacks of potentially elevated motor functional risk in motor eloquent tumour localisation, leading to prolonged survival of patients with primary glioblastoma close to the CST.
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Affiliation(s)
- Carolin Weiss Lucas
- Department of General Neurosurgery, Center of Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Andrea Maria Faymonville
- Department of General Neurosurgery, Center of Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.,Department of Neurosurgery, University Hospital Mannheim, Mannheim, Germany
| | - Ricardo Loução
- Department of General Neurosurgery, Center of Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.,Department of Stereotaxy and Functional Neurosurgery, Center of Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.,Institute of Neuroscience and Medicine (INM-4), Forschungszentrum Julich, Juelich, Germany
| | - Catharina Schroeter
- Department of General Neurosurgery, Center of Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Charlotte Nettekoven
- Department of General Neurosurgery, Center of Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | | | - Karl Josef Langen
- Institute of Neuroscience and Medicine (INM-4), Forschungszentrum Julich, Juelich, Germany
| | - N Jon Shah
- Institute of Neuroscience and Medicine (INM-4), Forschungszentrum Julich, Juelich, Germany.,JARA - BRAIN - Translational Medicine, Aachen, Germany.,Department of Neurology, RWTH Aachen University, Aachen, Germany
| | - Gabriele Stoffels
- Institute of Neuroscience and Medicine (INM-4), Forschungszentrum Julich, Juelich, Germany
| | - Volker Neuschmelting
- Department of General Neurosurgery, Center of Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Tobias Blau
- Department of Neurology, RWTH Aachen University, Aachen, Germany.,Institute of Neuropathology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Hannah Neuschmelting
- Institute of Pathology and Neuropathology, University Hospital Essen, Essen, Germany
| | - Martin Hellmich
- Institute for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Martin Kocher
- Department of General Neurosurgery, Center of Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.,Department of Stereotaxy and Functional Neurosurgery, Center of Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.,Institute of Neuroscience and Medicine (INM-4), Forschungszentrum Julich, Juelich, Germany
| | - Christian Grefkes
- Institute of Neuroscience and Medicine (INM-4), Forschungszentrum Julich, Juelich, Germany.,Institute for Medical Statistics and Computational Biology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Roland Goldbrunner
- Department of General Neurosurgery, Center of Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
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Küppers F, Yun SD, Shah NJ. Development of a novel 10-echo multi-contrast sequence based on EPIK to deliver simultaneous quantification of T 2 and T 2 * with application to oxygen extraction fraction. Magn Reson Med 2022; 88:1608-1623. [PMID: 35657054 DOI: 10.1002/mrm.29305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Revised: 04/14/2022] [Accepted: 04/26/2022] [Indexed: 11/05/2022]
Abstract
PURPOSE The simultaneous quantification of T2 and T2 * maps based on fast sequences for combined GE and SE acquisition has rekindled research and clinical interest by offering a wide range of attractive applications, e.g., dynamic tracking of oxygen extraction fraction (OEF). However, previously published methods based on EPI-readouts have been hindered by resolution and the number of acquired echoes. METHODS This work presents a novel 10-echo GE-SE EPIK (EPI with keyhole) sequence for the rapid quantification of T2 '. T2 /T2 * maps from the GE-SE EPIK sequence were validated using three phantoms and 15 volunteers at 3T. The incorporation of a sliding window approach, combined with the full sampling of the k-space center inherent to EPIK, enables a high effective temporal resolution. That is, for an eight-slice breath-hold experiment, a temporal sampling rate of eight reconstructed slices per 1.1 s. RESULTS In comparison with repeated single-echo SE, multi-echo GE, and spectroscopy methods, the GE-SE EPIK sequence shows good agreement in quantifying T2 /T2 * values, while the gray matter/white matter separation yielded the expected contrast differentiation. The OEF was calculated with a view to an initial application with clinical relevance, producing results comparable to those in the literature and with good sensitivity in breath-hold experiments. CONCLUSIONS GE-SE EPIK provides increased resolution and more echoes, including two SEs, than comparable sequences. Moreover, GE-SE EPIK achieves this within an acquisition time of 57 s for 20 slices (matrix size = 128×128; FOV = 24 cm) and with a reasonably short TE for the final echo (114 ms). The sequence can dynamically track OEF changes in a breath-hold experiment.
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Affiliation(s)
- Fabian Küppers
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Jülich, Germany.,RWTH Aachen University, Aachen, Germany
| | - Seong Dae Yun
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Jülich, Germany
| | - N Jon Shah
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Jülich, Germany.,Institute of Neuroscience and Medicine 11, INM-11, JARA, Forschungszentrum Jülich, Jülich, Germany.,JARA - BRAIN - Translational Medicine, Aachen, Germany.,Department of Neurology, RWTH Aachen University, Aachen, Germany
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Pais-Roldán P, Yun SD, Shah NJ. Pre-processing of Sub-millimeter GE-BOLD fMRI Data for Laminar Applications. Front Neuroimaging 2022; 1:869454. [PMID: 37555171 PMCID: PMC10406219 DOI: 10.3389/fnimg.2022.869454] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Accepted: 03/31/2022] [Indexed: 08/10/2023]
Abstract
Over the past 30 years, brain function has primarily been evaluated non-invasively using functional magnetic resonance imaging (fMRI) with gradient-echo (GE) sequences to measure blood-oxygen-level-dependent (BOLD) signals. Despite the multiple advantages of GE sequences, e.g., higher signal-to-noise ratio, faster acquisitions, etc., their relatively inferior spatial localization compromises the routine use of GE-BOLD in laminar applications. Here, in an attempt to rescue the benefits of GE sequences, we evaluated the effect of existing pre-processing methods on the spatial localization of signals obtained with EPIK, a GE sequence that affords voxel volumes of 0.25 mm3 with near whole-brain coverage. The methods assessed here apply to both task and resting-state fMRI data assuming the availability of reconstructed magnitude and phase images.
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Affiliation(s)
- Patricia Pais-Roldán
- Institute of Neuroscience and Medicine 4, Medical Imaging Physics, Forschungszentrum Jülich, Jülich, Germany
| | - Seong Dae Yun
- Institute of Neuroscience and Medicine 4, Medical Imaging Physics, Forschungszentrum Jülich, Jülich, Germany
| | - N. Jon Shah
- Institute of Neuroscience and Medicine 4, Medical Imaging Physics, Forschungszentrum Jülich, Jülich, Germany
- Institute of Neuroscience and Medicine 11, Molecular Neuroscience and Neuroimaging, Jülich Aachen Research Alliance, Forschungszentrum Jülich, Jülich, Germany
- Jlich Aachen Research Alliance, Brain - Translational Medicine, Aachen, Germany
- Department of Neurology, Rheinisch-Westfälische Technische Hochschule Aachen University, Aachen, Germany
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Choi CH, Hong SM, Felder J, Tellmann L, Scheins J, Kops ER, Lerche C, Shah NJ. A Novel J-Shape Antenna Array for Simultaneous MR-PET or MR-SPECT Imaging. IEEE Trans Med Imaging 2022; 41:1104-1113. [PMID: 34860648 DOI: 10.1109/tmi.2021.3132576] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Simultaneous MR-PET/-SPECT is an emerging technology that capitalises on the invaluable advantages of both modalities, allowing access to numerous sensitive tracers and superior soft-tissue contrast alongside versatile functional imaging capabilities. However, to optimise these capabilities, concurrent acquisitions require the MRI antenna located inside the PET/SPECT field-of-view to be operated without compromising any aspects of system performance or image quality compared to the stand-alone instrumentation. Here, we report a novel gamma-radiation-transparent antenna concept. The end-fed J-shape antenna is particularly adept for hybrid ultra-high field MR-PET/-SPECT applications as it enables all highly attenuating materials to be placed outside the imaging field-of-view. Furthermore, this unique configuration also provides advantages in stand-alone MR applications by reducing the amount of coupling between the cables and the antenna elements, and by lowering the potential specific absorption rate burden. The use of this new design was experimentally verified according to the important features for both ultra-high field MRI and the 511 keV transmission scan. The reconstructed attenuation maps evidently showed much lower attenuation ( ∼ 15 %) for the proposed array when compared to the conventional dipole antenna array since there were no high-density components. In MR, it was observed that the signal-to-noise ratio from the whole volume obtained using the proposed array was comparable to that acquired by the conventional array which was also in agreement with the simulation results. The unique feature, J-shape array, would enable simultaneous MR-PET/-SPECT experiments to be conducted without unduly compromising any aspects of system performance and image quality compared to the stand-alone instrumentation.
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Yun SD, Pais-Roldán P, Palomero-Gallagher N, Shah NJ. Mapping of whole-cerebrum resting-state networks using ultra-high resolution acquisition protocols. Hum Brain Mapp 2022; 43:3386-3403. [PMID: 35384130 PMCID: PMC9248311 DOI: 10.1002/hbm.25855] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 03/17/2022] [Accepted: 03/25/2022] [Indexed: 12/28/2022] Open
Abstract
Resting‐state functional magnetic resonance imaging (fMRI) has been used in numerous studies to map networks in the brain that employ spatially disparate regions. However, attempts to map networks with high spatial resolution have been hampered by conflicting technical demands and associated problems. Results from recent fMRI studies have shown that spatial resolution remains around 0.7 × 0.7 × 0.7 mm3, with only partial brain coverage. Therefore, this work aims to present a novel fMRI technique that was developed based on echo‐planar‐imaging with keyhole (EPIK) combined with repetition‐time‐external (TR‐external) EPI phase correction. Each technique has been previously shown to be effective in enhancing the spatial resolution of fMRI, and in this work, the combination of the two techniques into TR‐external EPIK provided a nominal spatial resolution of 0.51 × 0.51 × 1.00 mm3 (0.26 mm3 voxel) with whole‐cerebrum coverage. Here, the feasibility of using half‐millimetre in‐plane TR‐external EPIK for resting‐state fMRI was validated using 13 healthy subjects and the corresponding reproducible mapping of resting‐state networks was demonstrated. Furthermore, TR‐external EPIK enabled the identification of various resting‐state networks distributed throughout the brain from a single fMRI session, with mapping fidelity onto the grey matter at 7T. The high‐resolution functional image further revealed mesoscale anatomical structures, such as small cerebral vessels and the internal granular layer of the cortex within the postcentral gyrus.
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Affiliation(s)
- Seong Dae Yun
- Institute of Neuroscience and Medicine-4, Medical Imaging Physics, Forschungszentrum Jülich, Jülich, Germany
| | - Patricia Pais-Roldán
- Institute of Neuroscience and Medicine-4, Medical Imaging Physics, Forschungszentrum Jülich, Jülich, Germany
| | - Nicola Palomero-Gallagher
- Institute of Neuroscience and Medicine-1, Structural and Functional Organisation of the Brain, Forschungszentrum Jülich, Jülich, Germany.,C. & O. Vogt Institute for Brain Research, Heinrich-Heine-University, Düsseldorf, Germany.,Department of Psychiatry, Psychotherapy and Psychosomatics, Medical Faculty, RWTH Aachen, Aachen, Germany
| | - N Jon Shah
- Institute of Neuroscience and Medicine-4, Medical Imaging Physics, Forschungszentrum Jülich, Jülich, Germany.,Institute of Neuroscience and Medicine-11, Molecular Neuroscience and Neuroimaging, JARA, Forschungszentrum Jülich, Jülich, Germany.,JARA - BRAIN - Translational Medicine, Aachen, Germany.,Department of Neurology, RWTH Aachen University, Aachen, Germany
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Pawar K, Chen Z, Shah NJ, Egan GF. Suppressing motion artefacts in MRI using an Inception-ResNet network with motion simulation augmentation. NMR Biomed 2022; 35:e4225. [PMID: 31865624 DOI: 10.1002/nbm.4225] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Revised: 10/24/2019] [Accepted: 10/24/2019] [Indexed: 06/10/2023]
Abstract
The suppression of motion artefacts from MR images is a challenging task. The purpose of this paper was to develop a standalone novel technique to suppress motion artefacts in MR images using a data-driven deep learning approach. A simulation framework was developed to generate motion-corrupted images from motion-free images using randomly generated motion profiles. An Inception-ResNet deep learning network architecture was used as the encoder and was augmented with a stack of convolution and upsampling layers to form an encoder-decoder network. The network was trained on simulated motion-corrupted images to identify and suppress those artefacts attributable to motion. The network was validated on unseen simulated datasets and real-world experimental motion-corrupted in vivo brain datasets. The trained network was able to suppress the motion artefacts in the reconstructed images, and the mean structural similarity (SSIM) increased from 0.9058 to 0.9338. The network was also able to suppress the motion artefacts from the real-world experimental dataset, and the mean SSIM increased from 0.8671 to 0.9145. The motion correction of the experimental datasets demonstrated the effectiveness of the motion simulation generation process. The proposed method successfully removed motion artefacts and outperformed an iterative entropy minimization method in terms of the SSIM index and normalized root mean squared error, which were 5-10% better for the proposed method. In conclusion, a novel, data-driven motion correction technique has been developed that can suppress motion artefacts from motion-corrupted MR images. The proposed technique is a standalone, post-processing method that does not interfere with data acquisition or reconstruction parameters, thus making it suitable for routine clinical practice.
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Affiliation(s)
- Kamlesh Pawar
- Monash Biomedical Imaging, Monash University, Melbourne, Australia
- School of Psychological Sciences, Monash University, Melbourne, Australia
| | - Zhaolin Chen
- Monash Biomedical Imaging, Monash University, Melbourne, Australia
| | - N Jon Shah
- Monash Biomedical Imaging, Monash University, Melbourne, Australia
- Research Centre Jülich, Institute of Medicine, Jülich, Germany
| | - Gary F Egan
- Monash Biomedical Imaging, Monash University, Melbourne, Australia
- School of Psychological Sciences, Monash University, Melbourne, Australia
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Shah NJ, Abbas Z, Ridder D, Zimmermann M, Oros-Peusquens AM. A Novel MRI-Based Quantitative Water Content Atlas of the Human Brain. Neuroimage 2022; 252:119014. [PMID: 35202813 DOI: 10.1016/j.neuroimage.2022.119014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 02/08/2022] [Accepted: 02/17/2022] [Indexed: 11/19/2022] Open
Abstract
The measurement of quantitative, tissue-specific MR properties, e.g., water content, longitudinal relaxation time (T1) and effective transverse relaxation time (T2*), using quantitative MRI at a clinical field strength (1.5 T to 3T) is a well-explored topic. However, none of the commonly used standard brain atlases, such as MNI or JHU, provide quantitative information. Within the framework of quantitative MRI of the brain, this work reports on the development of the first quantitative brain atlas for tissue water content at 3T. A methodology to create this quantitative atlas of in vivo brain water content based on healthy volunteers is presented, and preliminary, practical examples of its potential applications are also shown. Established methods for the fast and reliable measurement of the absolute water content were used to achieve high precision and accuracy. Water content and T2* were mapped based on two different methods: an intermediate-TR, two-point method and a long-TR, single-scan method. Twenty healthy subjects (age 25.3 ± 2.5 years) were examined with these quantitative imaging protocols. The images were normalised to MNI stereotactic coordinates, and water content atlases of healthy volunteers were created for each method and compared. Regions-of-interest were generated with the help of a standard MNI template, and water content values averaged across the ROIs were compared to water content values from the literature. Finally, in order to demonstrate the strength of quantitative MRI, water content maps from patients with pathological changes in the brain due to stroke, tumour (glioblastoma) and multiple sclerosis were voxel-wise compared to the healthy brain. The water content atlases were largely independent of the method used to acquire the individual water maps. Global grey matter and white matter water content values between the methods agreed with each other to within 0.5 %. The feasibility of detecting abnormal water content in the brains of patients based on comparison to a healthy brain water content atlas was demonstrated. In summary, the first quantitative water content brain atlas in vivo has been developed and a voxel-wise assessment of pathology-related changes in the brain water content has been performed. These results suggest that qMRI, in combination with a water content atlas, allows for a quantitative interpretation of changes due to disease and could be used for disease monitoring.
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Affiliation(s)
- N Jon Shah
- Institute of Neuroscience and Medicine - 4, Forschungszentrum Juelich GmbH, Juelich, Germany; Institute of Neuroscience and Medicine - 11, Forschungszentrum Juelich GmbH, Juelich, Germany; Department of Neurology, Faculty of Medicine, RWTH Aachen University, Aachen, Germany; JARA - BRAIN - Translational Medicine, RWTH Aachen University, Aachen, Germany.
| | - Zaheer Abbas
- Institute of Neuroscience and Medicine - 4, Forschungszentrum Juelich GmbH, Juelich, Germany; Department of Neurology, Faculty of Medicine, RWTH Aachen University, Aachen, Germany
| | - Dominik Ridder
- Institute of Neuroscience and Medicine - 4, Forschungszentrum Juelich GmbH, Juelich, Germany
| | - Markus Zimmermann
- Institute of Neuroscience and Medicine - 4, Forschungszentrum Juelich GmbH, Juelich, Germany
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Kiefer CM, Ito J, Weidner R, Boers F, Shah NJ, Grün S, Dammers J. Revealing Whole-Brain Causality Networks During Guided Visual Searching. Front Neurosci 2022; 16:826083. [PMID: 35250461 PMCID: PMC8894880 DOI: 10.3389/fnins.2022.826083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 01/17/2022] [Indexed: 11/24/2022] Open
Abstract
In our daily lives, we use eye movements to actively sample visual information from our environment ("active vision"). However, little is known about how the underlying mechanisms are affected by goal-directed behavior. In a study of 31 participants, magnetoencephalography was combined with eye-tracking technology to investigate how interregional interactions in the brain change when engaged in two distinct forms of active vision: freely viewing natural images or performing a guided visual search. Regions of interest with significant fixation-related evoked activity (FRA) were identified with spatiotemporal cluster permutation testing. Using generalized partial directed coherence, we show that, in response to fixation onset, a bilateral cluster consisting of four regions (posterior insula, transverse temporal gyri, superior temporal gyrus, and supramarginal gyrus) formed a highly connected network during free viewing. A comparable network also emerged in the right hemisphere during the search task, with the right supramarginal gyrus acting as a central node for information exchange. The results suggest that all four regions are vital to visual processing and guiding attention. Furthermore, the right supramarginal gyrus was the only region where activity during fixations on the search target was significantly negatively correlated with search response times. Based on our findings, we hypothesize that, following a fixation, the right supramarginal gyrus supplies the right supplementary eye field (SEF) with new information to update the priority map guiding the eye movements during the search task.
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Affiliation(s)
- Christian M. Kiefer
- Institute of Neuroscience and Medicine (INM-4), Forschungszentrum Jülich GmbH, Jülich, Germany
- Institute of Neuroscience and Medicine (INM-6), Institute for Advanced Simulation (IAS-6), Forschungszentrum Jülich GmbH, Jülich, Germany
- Faculty of Mathematics, Computer Science and Natural Sciences, RWTH Aachen University, Aachen, Germany
- Jülich Aachen Research Alliance (JARA)-Brain – Institute Brain Structure and Function, Institute of Neuroscience and Medicine (INM-10), Forschungszentrum Jülich GmbH, Jülich, Germany
| | - Junji Ito
- Institute of Neuroscience and Medicine (INM-6), Institute for Advanced Simulation (IAS-6), Forschungszentrum Jülich GmbH, Jülich, Germany
- Jülich Aachen Research Alliance (JARA)-Brain – Institute Brain Structure and Function, Institute of Neuroscience and Medicine (INM-10), Forschungszentrum Jülich GmbH, Jülich, Germany
| | - Ralph Weidner
- Institute of Neuroscience and Medicine (INM-3), Forschungszentrum Jülich GmbH, Jülich, Germany
| | - Frank Boers
- Institute of Neuroscience and Medicine (INM-4), Forschungszentrum Jülich GmbH, Jülich, Germany
| | - N. Jon Shah
- Institute of Neuroscience and Medicine (INM-4), Forschungszentrum Jülich GmbH, Jülich, Germany
- Institute of Neuroscience and Medicine (INM-11), Jülich Aachen Research Alliance (JARA), Forschungszentrum Jülich GmbH, Jülich, Germany
- Jülich Aachen Research Alliance (JARA)-Brain – Translational Medicine, Aachen, Germany
- Department of Neurology, University Hospital RWTH Aachen, Aachen, Germany
| | - Sonja Grün
- Institute of Neuroscience and Medicine (INM-6), Institute for Advanced Simulation (IAS-6), Forschungszentrum Jülich GmbH, Jülich, Germany
- Jülich Aachen Research Alliance (JARA)-Brain – Institute Brain Structure and Function, Institute of Neuroscience and Medicine (INM-10), Forschungszentrum Jülich GmbH, Jülich, Germany
- Theoretical Systems Neurobiology, RWTH Aachen University, Aachen, Germany
| | - Jürgen Dammers
- Institute of Neuroscience and Medicine (INM-4), Forschungszentrum Jülich GmbH, Jülich, Germany
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Eberhardt B, Poser BA, Shah NJ, Felder J. B1 field map synthesis with generative deep learning used in the design of parallel-transmit RF pulses for ultra-high field MRI. Z Med Phys 2022; 32:334-345. [PMID: 35144850 PMCID: PMC9948838 DOI: 10.1016/j.zemedi.2021.12.003] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 11/27/2021] [Accepted: 12/23/2021] [Indexed: 10/19/2022]
Abstract
Spoke trajectory parallel transmit (pTX) excitation in ultra-high field MRI enables B1+ inhomogeneities arising from the shortened RF wavelength in biological tissue to be mitigated. To this end, current RF excitation pulse design algorithms either employ the acquisition of field maps with subsequent non-linear optimization or a universal approach applying robust pre-computed pulses. We suggest and evaluate an intermediate method that uses a subset of acquired field maps combined with generative machine learning models to reduce the pulse calibration time while offering more tailored excitation than robust pulses (RP). The possibility of employing image-to-image translation and semantic image synthesis machine learning models based on generative adversarial networks (GANs) to deduce the missing field maps is examined. Additionally, an RF pulse design that employs a predictive machine learning model to find solutions for the non-linear (two-spokes) pulse design problem is investigated. As a proof of concept, we present simulation results obtained with the suggested machine learning approaches that were trained on a limited data-set, acquired in vivo. The achieved excitation homogeneity based on a subset of half of the B1+ maps acquired in the calibration scans and half of the B1+ maps synthesized with GANs is comparable with state of the art pulse design methods when using the full set of calibration data while halving the total calibration time. By employing RP dictionaries or machine-learning RF pulse predictions, the total calibration time can be reduced significantly as these methods take only seconds or milliseconds per slice, respectively.
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Affiliation(s)
- Boris Eberhardt
- Institute of Neuroscience and Medicine 4, Forschungszentrum Jülich, Jüich, Germany; RWTH Aachen University, Aachen, Germany.
| | - Benedikt A. Poser
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands
| | - N. Jon Shah
- Institute of Neuroscience and Medicine 4, Forschungszentrum Jülich, Jüich, Germany,Institute of Neuroscience and Medicine 11, Forschungszentrum Jülich, Jülich, Germany,Department of Neurology, RWTH Aachen University, Aachen, Germany,JARA-BRAIN, Translational Medicine, Aachen, Germany
| | - Jörg Felder
- Institute of Neuroscience and Medicine 4, Forschungszentrum Jülich, Jüich, Germany; RWTH Aachen University, Aachen, Germany.
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Neuner I, Veselinović T, Ramkiran S, Rajkumar R, Schnellbaecher GJ, Shah NJ. 7T ultra-high-field neuroimaging for mental health: an emerging tool for precision psychiatry? Transl Psychiatry 2022; 12:36. [PMID: 35082273 PMCID: PMC8791951 DOI: 10.1038/s41398-022-01787-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 12/22/2021] [Accepted: 01/10/2022] [Indexed: 12/14/2022] Open
Abstract
Given the huge symptom diversity and complexity of mental disorders, an individual approach is the most promising avenue for clinical transfer and the establishment of personalized psychiatry. However, due to technical limitations, knowledge about the neurobiological basis of mental illnesses has, to date, mainly been based on findings resulting from evaluations of average data from certain diagnostic groups. We postulate that this could change substantially through the use of the emerging ultra-high-field MRI (UHF-MRI) technology. The main advantages of UHF-MRI include high signal-to-noise ratio, resulting in higher spatial resolution and contrast and enabling individual examinations of single subjects. Thus, we used this technology to assess changes in the properties of resting-state networks over the course of therapy in a naturalistic study of two depressed patients. Significant changes in several network property measures were found in regions corresponding to prior knowledge from group-level studies. Moreover, relevant parameters were already significantly divergent in both patients at baseline. In summary, we demonstrate the feasibility of UHF-MRI for capturing individual neurobiological correlates of mental diseases. These could serve as a tool for therapy monitoring and pave the way for a truly individualized and predictive clinical approach in psychiatric care.
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Affiliation(s)
- Irene Neuner
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Jülich, Germany.
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany.
- JARA-BRAIN, Jülich/Aachen, Germany.
| | - Tanja Veselinović
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Jülich, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany
| | - Shukti Ramkiran
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Jülich, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany
| | - Ravichandran Rajkumar
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Jülich, Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics, RWTH Aachen University, Aachen, Germany
- JARA-BRAIN, Jülich/Aachen, Germany
| | | | - N Jon Shah
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Jülich, Germany
- JARA-BRAIN, Jülich/Aachen, Germany
- Department of Neurology, RWTH Aachen University, Aachen, Germany
- Institute of Neuroscience and Medicine 11, INM-11, Forschungszentrum Jülich, Jülich, Germany
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Margreiter MA, Witzenberger M, Wasser Y, Davydova E, Janowski R, Metz J, Habib P, Sahnoun SEM, Sobisch C, Poma B, Palomino-Hernandez O, Wagner M, Carell T, Jon Shah N, Schulz JB, Niessing D, Voigt A, Rossetti G. Small-molecule modulators of TRMT2A decrease PolyQ aggregation and PolyQ-induced cell death. Comput Struct Biotechnol J 2022; 20:443-458. [PMID: 35070167 PMCID: PMC8759985 DOI: 10.1016/j.csbj.2021.12.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Revised: 12/20/2021] [Accepted: 12/20/2021] [Indexed: 11/17/2022] Open
Abstract
Polyglutamine (polyQ) diseases are characterized by an expansion of cytosine-adenine-guanine (CAG) trinucleotide repeats encoding for an uninterrupted prolonged polyQ tract. We previously identified TRMT2A as a strong modifier of polyQ-induced toxicity in an unbiased large-scale screen in Drosophila melanogaster. This work aimed at identifying and validating pharmacological TRMT2A inhibitors as treatment opportunities for polyQ diseases in humans. Computer-aided drug discovery was implemented to identify human TRMT2A inhibitors. Additionally, the crystal structure of one protein domain, the RNA recognition motif (RRM), was determined, and Biacore experiments with the RRM were performed. The identified molecules were validated for their potency to reduce polyQ aggregation and polyQ-induced cell death in human HEK293T cells and patient derived fibroblasts. Our work provides a first step towards pharmacological inhibition of this enzyme and indicates TRMT2A as a viable drug target for polyQ diseases.
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Affiliation(s)
- Michael A Margreiter
- Institute of Neuroscience and Medicine (INM-9), Forschungszentrum Juelich GmbH, Germany.,Faculty of Mathematics, Computer Science and Natural Sciences, RWTH Aachen, 52425 Aachen, Germany
| | - Monika Witzenberger
- Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Institute of Structural Biology, 85764 Neuherberg, Germany
| | - Yasmine Wasser
- Department of Neurology, RWTH University Aachen, Faculty of Medicine, RWTH Aachen University, Pauwelsstr. 30, 52074 Aachen, Germany
| | - Elena Davydova
- Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Institute of Structural Biology, 85764 Neuherberg, Germany
| | - Robert Janowski
- Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Institute of Structural Biology, 85764 Neuherberg, Germany
| | - Jonas Metz
- Institute of Neuroscience and Medicine (INM-9), Forschungszentrum Juelich GmbH, Germany
| | - Pardes Habib
- Department of Neurology, RWTH University Aachen, Faculty of Medicine, RWTH Aachen University, Pauwelsstr. 30, 52074 Aachen, Germany.,JARA - BRAIN - Translational Medicine, Aachen, Germany
| | - Sabri E M Sahnoun
- Department of Nuclear Medicine, University Hospital Aachen, RWTH Aachen University, 52074 Aachen, Germany
| | - Carina Sobisch
- Department of Neurology, RWTH University Aachen, Faculty of Medicine, RWTH Aachen University, Pauwelsstr. 30, 52074 Aachen, Germany
| | - Benedetta Poma
- Department of Neurology, RWTH University Aachen, Faculty of Medicine, RWTH Aachen University, Pauwelsstr. 30, 52074 Aachen, Germany
| | - Oscar Palomino-Hernandez
- Institute of Neuroscience and Medicine (INM-9), Forschungszentrum Juelich GmbH, Germany.,Faculty of Mathematics, Computer Science and Natural Sciences, RWTH Aachen, 52425 Aachen, Germany
| | - Mirko Wagner
- Department Chemie, Ludwig-Maximilians-Universität München, Butenandtstraße 5-13, 81377 München, Germany
| | - Thomas Carell
- Department Chemie, Ludwig-Maximilians-Universität München, Butenandtstraße 5-13, 81377 München, Germany
| | - N Jon Shah
- JARA - BRAIN - Translational Medicine, Aachen, Germany.,Institute of Neuroscience and Medicine (INM-4), Forschungszentrum Juelich GmbH, Germany.,Institute of Neuroscience and Medicine (INM-11), Forschungszentrum Juelich GmbH, Germany
| | - Jörg B Schulz
- Department of Neurology, RWTH University Aachen, Faculty of Medicine, RWTH Aachen University, Pauwelsstr. 30, 52074 Aachen, Germany.,JARA - BRAIN - Translational Medicine, Aachen, Germany.,Institute of Neuroscience and Medicine (INM-11), Forschungszentrum Juelich GmbH, Germany
| | - Dierk Niessing
- Helmholtz Zentrum Muenchen, German Research Center for Environmental Health, Institute of Structural Biology, 85764 Neuherberg, Germany.,Institute of Pharmaceutical Biotechnology, Ulm University, 89081 Ulm, Germany
| | - Aaron Voigt
- Department of Neurology, RWTH University Aachen, Faculty of Medicine, RWTH Aachen University, Pauwelsstr. 30, 52074 Aachen, Germany.,JARA - BRAIN - Translational Medicine, Aachen, Germany
| | - Giulia Rossetti
- Institute of Neuroscience and Medicine (INM-9), Forschungszentrum Juelich GmbH, Germany.,Department of Neurology, RWTH University Aachen, Faculty of Medicine, RWTH Aachen University, Pauwelsstr. 30, 52074 Aachen, Germany.,Juelich Supercomputing Center (JSC), Forschungszentrum Juelich GmbH, Germany.,Department of Hematology, Oncology, Hemostaseology, and Stem Cell Transplantation, Faculty of Medicine, RWTH Aachen University, Pauwelsstr. 30, 52074 Aachen, Germany
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Kaulen N, Rajkumar R, Régio Brambilla C, Mauler J, Ramkiran S, Orth L, Sbaihat H, Lang M, Wyss C, Rota Kops E, Scheins J, Neumaier B, Ermert J, Herzog H, Langen K, Lerche C, Shah NJ, Veselinović T, Neuner I. mGluR
5
and
GABA
A
receptor‐specific parametric
PET
atlas construction—
PET
/
MR
data processing pipeline, validation, and application. Hum Brain Mapp 2022; 43:2148-2163. [PMID: 35076125 PMCID: PMC8996359 DOI: 10.1002/hbm.25778] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 12/14/2021] [Accepted: 12/24/2021] [Indexed: 12/15/2022] Open
Abstract
The glutamate and γ‐aminobutyric acid neuroreceptor subtypes mGluR5 and GABAA are hypothesized to be involved in the development of a variety of psychiatric diseases. However, detailed information relating to their in vivo distribution is generally unavailable. Maps of such distributions could potentially aid clinical studies by providing a reference for the normal distribution of neuroreceptors and may also be useful as covariates in advanced functional magnetic resonance imaging (MR) studies. In this study, we propose a comprehensive processing pipeline for the construction of standard space, in vivo distributions of non‐displaceable binding potential (BPND), and total distribution volume (VT) based on simultaneously acquired bolus‐infusion positron emission tomography (PET) and MR data. The pipeline was applied to [11C]ABP688‐PET/MR (13 healthy male non‐smokers, 26.6 ± 7.0 years) and [11C]Flumazenil‐PET/MR (10 healthy males, 25.8 ± 3.0 years) data. Activity concentration templates, as well as VT and BPND atlases of mGluR5 and GABAA, were generated from these data. The maps were validated by assessing the percent error δ from warped space to native space in a selection of brain regions. We verified that the average δABP = 3.0 ± 1.0% and δFMZ = 3.8 ± 1.4% were lower than the expected variabilities σ of the tracers (σABP = 4.0%–16.0%, σFMZ = 3.9%–9.5%). An evaluation of PET‐to‐PET registrations based on the new maps showed higher registration accuracy compared to registrations based on the commonly used [15O]H2O‐template distributed with SPM12. Thus, we conclude that the resulting maps can be used for further research and the proposed pipeline is a viable tool for the construction of standardized PET data distributions.
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Affiliation(s)
- Nicolas Kaulen
- Forschungszentrum Jülich Institute of Neuroscience and Medicine 4, INM‐4 Jülich Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics RWTH Aachen University Aachen Germany
| | - Ravichandran Rajkumar
- Forschungszentrum Jülich Institute of Neuroscience and Medicine 4, INM‐4 Jülich Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics RWTH Aachen University Aachen Germany
- JARA BRAIN Translational Medicine Aachen Germany
| | - Cláudia Régio Brambilla
- Forschungszentrum Jülich Institute of Neuroscience and Medicine 4, INM‐4 Jülich Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics RWTH Aachen University Aachen Germany
- JARA BRAIN Translational Medicine Aachen Germany
| | - Jörg Mauler
- Forschungszentrum Jülich Institute of Neuroscience and Medicine 4, INM‐4 Jülich Germany
| | - Shukti Ramkiran
- Forschungszentrum Jülich Institute of Neuroscience and Medicine 4, INM‐4 Jülich Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics RWTH Aachen University Aachen Germany
- JARA BRAIN Translational Medicine Aachen Germany
| | - Linda Orth
- Forschungszentrum Jülich Institute of Neuroscience and Medicine 4, INM‐4 Jülich Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics RWTH Aachen University Aachen Germany
| | - Hasan Sbaihat
- Forschungszentrum Jülich Institute of Neuroscience and Medicine 4, INM‐4 Jülich Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics RWTH Aachen University Aachen Germany
- Department of Medical Imaging Arab‐American University Palestine Jenin Palestine
| | - Markus Lang
- Forschungszentrum Jülich Institute of Neuroscience and Medicine 5, INM‐5 Jülich Germany
| | - Christine Wyss
- Forschungszentrum Jülich Institute of Neuroscience and Medicine 4, INM‐4 Jülich Germany
- Department for Psychiatry, Psychotherapy and Psychosomatics Social Psychiatry University Hospital of Psychiatry Zurich Zurich Switzerland
| | - Elena Rota Kops
- Forschungszentrum Jülich Institute of Neuroscience and Medicine 4, INM‐4 Jülich Germany
| | - Jürgen Scheins
- Forschungszentrum Jülich Institute of Neuroscience and Medicine 4, INM‐4 Jülich Germany
| | - Bernd Neumaier
- Forschungszentrum Jülich Institute of Neuroscience and Medicine 5, INM‐5 Jülich Germany
| | - Johannes Ermert
- Forschungszentrum Jülich Institute of Neuroscience and Medicine 5, INM‐5 Jülich Germany
| | - Hans Herzog
- Forschungszentrum Jülich Institute of Neuroscience and Medicine 4, INM‐4 Jülich Germany
| | - Karl‐Joseph Langen
- Forschungszentrum Jülich Institute of Neuroscience and Medicine 4, INM‐4 Jülich Germany
- JARA BRAIN Translational Medicine Aachen Germany
- Department of Nuclear Medicine RWTH Aachen University Aachen Germany
| | - Christoph Lerche
- Forschungszentrum Jülich Institute of Neuroscience and Medicine 4, INM‐4 Jülich Germany
| | - N. Jon Shah
- Forschungszentrum Jülich Institute of Neuroscience and Medicine 4, INM‐4 Jülich Germany
- JARA BRAIN Translational Medicine Aachen Germany
- Forschungszentrum Jülich Institute of Neuroscience and Medicine 11, INM‐11 Jülich Germany
- Department of Neurology RWTH Aachen University Aachen Germany
| | - Tanja Veselinović
- Department of Psychiatry, Psychotherapy and Psychosomatics RWTH Aachen University Aachen Germany
| | - Irene Neuner
- Forschungszentrum Jülich Institute of Neuroscience and Medicine 4, INM‐4 Jülich Germany
- Department of Psychiatry, Psychotherapy and Psychosomatics RWTH Aachen University Aachen Germany
- JARA BRAIN Translational Medicine Aachen Germany
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45
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Chen Q, Shah NJ, Worthoff WA. Compressed Sensing in Sodium Magnetic Resonance Imaging: Techniques, Applications, and Future Prospects. J Magn Reson Imaging 2021; 55:1340-1356. [PMID: 34918429 DOI: 10.1002/jmri.28029] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 12/01/2021] [Accepted: 12/03/2021] [Indexed: 11/06/2022] Open
Abstract
Sodium (23 Na) yields the second strongest nuclear magnetic resonance (NMR) signal in biological tissues and plays a vital role in cell physiology. Sodium magnetic resonance imaging (MRI) can provide insights into cell integrity and tissue viability relative to pathologies without significant anatomical alternations, and thus it is considered to be a potential surrogate biomarker that provides complementary information for standard hydrogen (1 H) MRI in a noninvasive and quantitative manner. However, sodium MRI suffers from a relatively low signal-to-noise ratio and long acquisition times due to its relatively low NMR sensitivity. Compressed sensing-based (CS-based) methods have been shown to accelerate sodium imaging and/or improve sodium image quality significantly. In this manuscript, the basic concepts of CS and how CS might be applied to improve sodium MRI are described, and the historical milestones of CS-based sodium MRI are briefly presented. Representative advanced techniques and evaluation methods are discussed in detail, followed by an expose of clinical applications in multiple anatomical regions and diseases as well as thoughts and suggestions on potential future research prospects of CS in sodium MRI. EVIDENCE LEVEL: 5 TECHNICAL EFFICACY: Stage 1.
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Affiliation(s)
- Qingping Chen
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich GmbH, Jülich, Germany.,Faculty of Medicine, RWTH Aachen University, Aachen, Germany.,Department of Biomedical Engineering, The University of Melbourne, Parkville, Victoria, Australia
| | - N Jon Shah
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich GmbH, Jülich, Germany.,Institute of Neuroscience and Medicine 11, INM-11, JARA, Forschungszentrum Jülich GmbH, Jülich, Germany.,JARA-BRAIN-Translational Medicine, Aachen, Germany.,Department of Neurology, RWTH Aachen University, Aachen, Germany
| | - Wieland A Worthoff
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich GmbH, Jülich, Germany
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46
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Farrher E, Chiang CW, Cho KH, Grinberg F, Buschbeck RP, Chen MJ, Wu KJ, Wang Y, Huang SM, Abbas Z, Choi CH, Shah NJ, Kuo LW. Spatiotemporal characterisation of ischaemic lesions in transient stroke animal models using diffusion free water elimination and mapping MRI with echo time dependence. Neuroimage 2021; 244:118605. [PMID: 34592438 DOI: 10.1016/j.neuroimage.2021.118605] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 09/14/2021] [Accepted: 09/19/2021] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND AND PURPOSE The excess fluid as a result of vasogenic oedema and the subsequent tissue cavitation obscure the microstructural characterisation of ischaemic tissue by conventional diffusion and relaxometry MRI. They lead to a pseudo-normalisation of the water diffusivity and transverse relaxation time maps in the subacute and chronic phases of stroke. Within the context of diffusion MRI, the free water elimination and mapping method (FWE) with echo time dependence has been proposed as a promising approach to measure the amount of free fluid in brain tissue robustly and to eliminate its biasing effect on other biomarkers. In this longitudinal study of transient middle cerebral artery occlusion (MCAo) in the rat brain, we investigated the use of FWE MRI with echo time dependence for the characterisation of the tissue microstructure and explored the potential of the free water fraction as a novel biomarker of ischaemic tissue condition. METHODS Adult rats received a transient MCAo. Diffusion- and transverse relaxation-weighted MRI experiments were performed longitudinally, pre-occlusion and on days 1, 3, 4, 5, 6, 7 and 10 after MCAo on four rats. Histology was performed for non-stroke and 1, 3 and 10 days after MCAo on three different rats at each time point. RESULTS The free water fraction was homogeneously increased in the ischaemic cortex one day after stroke. Between three and ten days after stroke, the core of the ischaemic tissue showed a progressive normalisation in the amount of free water, whereas the inner and outer border zones of the ischaemic cortex depicted a large, monotonous increase with time. The specific lesions in brain sections were verified by H&E and immunostaining. The tissue-specific diffusion and relaxometry MRI metrics in the ischaemic cortex were significantly different compared to their conventional counterpart. CONCLUSIONS Our results demonstrate that the free water fraction in FWE MRI with echo time dependence is a valuable biomarker, sensitive to the progressive degeneration in ischaemic tissue. We showed that part of the heterogeneity previously observed in conventional parameter maps can be accounted for by a heterogeneous distribution of free water in the tissue. Our results suggest that the temporal evolution of the free fluid fraction map at the core and inner border zone can be associated with the pathological changes linked to the evolution of vasogenic oedema. Namely, the homogeneous increase in free water one day after stroke and its tendency to normalise in the core of the ischaemic cortex starting three days after stroke, followed by a progressive increase in free water at the inner border zone from three to ten days after stroke. Finally, the monotonous increase in free fluid in the outer border zone of the cortex reflects the formation of fluid-filled cysts.
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Affiliation(s)
- Ezequiel Farrher
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Germany.
| | - Chia-Wen Chiang
- Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Miaoli, Taiwan
| | - Kuan-Hung Cho
- Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Miaoli, Taiwan
| | - Farida Grinberg
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Germany
| | - Richard P Buschbeck
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Germany
| | - Ming-Jye Chen
- Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Miaoli, Taiwan
| | - Kuo-Jen Wu
- Center for Neuropsychiatric Research, National Health Research Institutes, Miaoli, Taiwan
| | - Yun Wang
- Center for Neuropsychiatric Research, National Health Research Institutes, Miaoli, Taiwan
| | - Sheng-Min Huang
- Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Miaoli, Taiwan
| | - Zaheer Abbas
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Germany
| | - Chang-Hoon Choi
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Germany
| | - N Jon Shah
- Institute of Neuroscience and Medicine 4, INM-4, Forschungszentrum Jülich, Germany; Department of Neurology, RWTH Aachen University, Aachen, Germany; JARA - BRAIN - Translational Medicine, Aachen, Germany; Institute of Neuroscience and Medicine 11, INM-11, JARA, Forschungszentrum Jülich, Germany
| | - Li-Wei Kuo
- Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Miaoli, Taiwan; Institute of Medical Device and Imaging, National Taiwan University College of Medicine, Taipei, Taiwan.
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47
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Willuweit A, Schöneck M, Schemmert S, Lohmann P, Bremen S, Honold D, Burda N, Jiang N, Beer S, Ermert J, Willbold D, Shah NJ, Langen KJ. Comparison of the Amyloid Load in the Brains of Two Transgenic Alzheimer's Disease Mouse Models Quantified by Florbetaben Positron Emission Tomography. Front Neurosci 2021; 15:699926. [PMID: 34671235 PMCID: PMC8520975 DOI: 10.3389/fnins.2021.699926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2021] [Accepted: 09/03/2021] [Indexed: 11/13/2022] Open
Abstract
Alzheimer's disease (AD) is characterized by formation of amyloid plaques and neurofibrillary tangles in the brain, which can be mimicked by transgenic mouse models. Here, we report on the characterization of amyloid load in the brains of two transgenic amyloidosis models using positron emission tomography (PET) with florbetaben (FBB), an 18F-labeled amyloid PET tracer routinely used in AD patients. Young, middle-aged, and old homozygous APP/PS1 mice (ARTE10), old hemizygous APPswe/PS1ΔE9, and old wild-type control mice were subjected to FBB PET using a small animal PET/computed tomography scanner. After PET, brains were excised, and ex vivo autoradiography was performed. Plaque pathology was verified on brain sections with histological methods. Amyloid plaque load increased progressively with age in the cortex and hippocampus of ARTE10 mice, which could be detected with both in vivo FBB PET and ex vivo autoradiography. FBB retention showed significant differences to wild-type controls already at 9 months of age by both in vivo and ex vivo analyses. An excellent correlation between data derived from PET and autoradiography could be obtained (r Pearson = 0.947, p < 0.0001). Although amyloid load detected by FBB in the brains of old APPswe/PS1ΔE9 mice was as low as values obtained with young ARTE10 mice, statistically significant discrimination to wild-type animals was reached (p < 0.01). In comparison to amyloid burden quantified by histological analysis, FBB retention correlated best with total plaque load and number of congophilic plaques in the brains of both mouse models. In conclusion, the homozygous ARTE10 mouse model showed superior properties over APPswe/PS1ΔE9 mice for FBB small animal amyloid PET imaging. The absolute amount of congophilic dense-cored plaques seems to be the decisive factor for feasibility of amyloidosis models for amyloid PET analysis.
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Affiliation(s)
- Antje Willuweit
- Institute of Neuroscience and Medicine (INM-2, INM-4, INM-5, and INM-11), Forschungszentrum Jülich, Jülich, Germany
| | - Michael Schöneck
- Institute of Neuroscience and Medicine (INM-2, INM-4, INM-5, and INM-11), Forschungszentrum Jülich, Jülich, Germany
| | - Sarah Schemmert
- Institute of Biological Information Processing, Structural Biochemistry, Forschungszentrum Jülich, Jülich, Germany
| | - Philipp Lohmann
- Institute of Neuroscience and Medicine (INM-2, INM-4, INM-5, and INM-11), Forschungszentrum Jülich, Jülich, Germany.,Department of Stereotaxy and Functional Neurosurgery, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Saskia Bremen
- Institute of Neuroscience and Medicine (INM-2, INM-4, INM-5, and INM-11), Forschungszentrum Jülich, Jülich, Germany
| | - Dominik Honold
- Institute of Biological Information Processing, Structural Biochemistry, Forschungszentrum Jülich, Jülich, Germany
| | - Nicole Burda
- Institute of Neuroscience and Medicine (INM-2, INM-4, INM-5, and INM-11), Forschungszentrum Jülich, Jülich, Germany
| | - Nan Jiang
- Institute of Biological Information Processing, Structural Biochemistry, Forschungszentrum Jülich, Jülich, Germany
| | - Simone Beer
- Institute of Neuroscience and Medicine (INM-2, INM-4, INM-5, and INM-11), Forschungszentrum Jülich, Jülich, Germany
| | - Johannes Ermert
- Institute of Neuroscience and Medicine (INM-2, INM-4, INM-5, and INM-11), Forschungszentrum Jülich, Jülich, Germany
| | - Dieter Willbold
- Institute of Biological Information Processing, Structural Biochemistry, Forschungszentrum Jülich, Jülich, Germany.,Institut für Physikalische Biologie, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany
| | - N Jon Shah
- Institute of Neuroscience and Medicine (INM-2, INM-4, INM-5, and INM-11), Forschungszentrum Jülich, Jülich, Germany.,JARA-Brain-Translational Medicine, Aachen, Germany.,Department of Neurology, RWTH Aachen University, Aachen, Germany
| | - Karl-Josef Langen
- Institute of Neuroscience and Medicine (INM-2, INM-4, INM-5, and INM-11), Forschungszentrum Jülich, Jülich, Germany.,Department of Nuclear Medicine, RWTH Aachen University, Aachen, Germany
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48
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Jamadar SD, Zhong S, Carey A, McIntyre R, Ward PGD, Fornito A, Premaratne M, Jon Shah N, O'Brien K, Stäb D, Chen Z, Egan GF. Task-evoked simultaneous FDG-PET and fMRI data for measurement of neural metabolism in the human visual cortex. Sci Data 2021; 8:267. [PMID: 34654823 PMCID: PMC8520012 DOI: 10.1038/s41597-021-01042-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Accepted: 08/12/2021] [Indexed: 01/21/2023] Open
Abstract
Understanding how the living human brain functions requires sophisticated in vivo neuroimaging technologies to characterise the complexity of neuroanatomy, neural function, and brain metabolism. Fluorodeoxyglucose positron emission tomography (FDG-PET) studies of human brain function have historically been limited in their capacity to measure dynamic neural activity. Simultaneous [18 F]-FDG-PET and functional magnetic resonance imaging (fMRI) with FDG infusion protocols enable examination of dynamic changes in cerebral glucose metabolism simultaneously with dynamic changes in blood oxygenation. The Monash vis-fPET-fMRI dataset is a simultaneously acquired FDG-fPET/BOLD-fMRI dataset acquired from n = 10 healthy adults (18-49 yrs) whilst they viewed a flickering checkerboard task. The dataset contains both raw (unprocessed) images and source data organized according to the BIDS specification. The source data includes PET listmode, normalization, sinogram and physiology data. Here, the technical feasibility of using opensource frameworks to reconstruct the PET listmode data is demonstrated. The dataset has significant re-use value for the development of new processing pipelines, signal optimisation methods, and to formulate new hypotheses concerning the relationship between neuronal glucose uptake and cerebral haemodynamics.
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Affiliation(s)
- Sharna D Jamadar
- Monash Biomedical Imaging, Monash University, Melbourne, VIC, Australia. .,Australian Research Council Centre of Excellence for Integrative Brain Function, Clayton, Australia. .,Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC, Australia.
| | - Shenjun Zhong
- Monash Biomedical Imaging, Monash University, Melbourne, VIC, Australia.,National Imaging Facility, Clayton, Australia
| | - Alexandra Carey
- Monash Biomedical Imaging, Monash University, Melbourne, VIC, Australia.,Department of Medical Imaging, Monash Health, Clayton, VIC, Australia
| | - Richard McIntyre
- Monash Biomedical Imaging, Monash University, Melbourne, VIC, Australia.,Department of Medical Imaging, Monash Health, Clayton, VIC, Australia
| | - Phillip G D Ward
- Monash Biomedical Imaging, Monash University, Melbourne, VIC, Australia.,Australian Research Council Centre of Excellence for Integrative Brain Function, Clayton, Australia.,Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC, Australia
| | - Alex Fornito
- Australian Research Council Centre of Excellence for Integrative Brain Function, Clayton, Australia.,Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC, Australia
| | - Malin Premaratne
- Department of Electrical and Computer Systems Engineering, Monash University, Clayton, VIC, Australia
| | - N Jon Shah
- Institute of Neuroscience and Medicine - 4, Forschungszentrum Jülich, Jülich, Germany
| | - Kieran O'Brien
- MR Research Collaborations, Siemens Healthcare Pty Ltd, Clayton, Australia
| | - Daniel Stäb
- MR Research Collaborations, Siemens Healthcare Pty Ltd, Clayton, Australia
| | - Zhaolin Chen
- Monash Biomedical Imaging, Monash University, Melbourne, VIC, Australia.,Monash Data Futures Institute, Monash University, Clayton, Australia
| | - Gary F Egan
- Monash Biomedical Imaging, Monash University, Melbourne, VIC, Australia.,Australian Research Council Centre of Excellence for Integrative Brain Function, Clayton, Australia.,Turner Institute for Brain and Mental Health, Monash University, Clayton, VIC, Australia
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Loução R, Oros-Peusquens AM, Langen KJ, Ferreira HA, Shah NJ. A Fast Protocol for Multiparametric Characterisation of Diffusion in the Brain and Brain Tumours. Front Oncol 2021; 11:554205. [PMID: 34621664 PMCID: PMC8490752 DOI: 10.3389/fonc.2021.554205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2020] [Accepted: 08/26/2021] [Indexed: 11/13/2022] Open
Abstract
Multi-parametric tissue characterisation is demonstrated using a 4-minute protocol based on diffusion trace acquisitions. Three diffusion regimes are covered simultaneously: pseudo-perfusion, Gaussian, and non-Gaussian diffusion. The clinical utility of this method for fast multi-parametric mapping for brain tumours is explored. A cohort of 17 brain tumour patients was measured on a 3T hybrid MR-PET scanner with a standard clinical MRI protocol, to which the proposed multi-parametric diffusion protocol was subsequently added. For comparison purposes, standard perfusion and a full diffusion kurtosis protocol were acquired. Simultaneous amino-acid (18F-FET) PET enabled the identification of active tumour tissue. The metrics derived from the proposed protocol included perfusion fraction, pseudo-diffusivity, apparent diffusivity, and apparent kurtosis. These metrics were compared to the corresponding metrics from the dedicated acquisitions: cerebral blood volume and flow, mean diffusivity and mean kurtosis. Simulations were carried out to assess the influence of fitting methods and noise levels on the estimation of the parameters. The diffusion and kurtosis metrics obtained from the proposed protocol show strong to very strong correlations with those derived from the conventional protocol. However, a bias towards lower values was observed. The pseudo-perfusion parameters showed very weak to weak correlations compared to their perfusion counterparts. In conclusion, we introduce a clinically applicable protocol for measuring multiple parameters and demonstrate its relevance to pathological tissue characterisation.
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Affiliation(s)
- Ricardo Loução
- Institute of Neurosciences and Medicine 4, INM-4, Forschungszentrum Jülich, Jülich, Germany.,Institute of Neurosciences and Medicine 11, INM-11, JARA, Forschungszentrum Jülich, Jülich, Germany.,Faculty of Medicine, RWTH Aachen University, Aachen, Germany
| | | | - Karl-Josef Langen
- Institute of Neurosciences and Medicine 4, INM-4, Forschungszentrum Jülich, Jülich, Germany
| | - Hugo Alexandre Ferreira
- Institute of Biophysics and Biomedical Engineering, Faculty of Sciences of the University of Lisbon, Lisbon, Portugal
| | - N Jon Shah
- Institute of Neurosciences and Medicine 4, INM-4, Forschungszentrum Jülich, Jülich, Germany.,Institute of Neurosciences and Medicine 11, INM-11, JARA, Forschungszentrum Jülich, Jülich, Germany.,Jülich Aachen Research Alliance (JARA) - BRAIN - Translational Medicine, Aachen, Germany.,Department of Neurology, RWTH Aachen University, Aachen, Germany
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Stegmayr C, Surges R, Choi CH, Burda N, Stoffels G, Filß C, Willuweit A, Neumaier B, Heinzel A, Shah NJ, Mottaghy FM, Langen KJ. Investigation of Cerebral O-(2-[ 18F]Fluoroethyl)-L-Tyrosine Uptake in Rat Epilepsy Models. Mol Imaging Biol 2021; 22:1255-1265. [PMID: 32409931 PMCID: PMC7497431 DOI: 10.1007/s11307-020-01503-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
PURPOSE A recent study reported on high, longer lasting and finally reversible cerebral uptake of O-(2-[18F]fluoroethyl)-L-tyrosine ([18F]FET) induced by epileptic activity. Therefore, we examined cerebral [18F]FET uptake in two chemically induced rat epilepsy models and in patients with focal epilepsy to further investigate whether this phenomenon represents a major pitfall in brain tumor diagnostics and whether [18F]FET may be a potential marker to localize epileptic foci. PROCEDURES Five rats underwent kainic acid titration to exhibit 3 to 3.5 h of class IV-V motor seizures (status epilepticus, SE). Rats underwent 4× [18F]FET PET and 4× MRI on the following 25 days. Six rats underwent kindling with pentylenetetrazol (PTZ) 3 to 8×/week over 10 weeks, and hence, seizures increased from class I to class IV. [18F]FET PET and MRI were performed regularly on days with and without seizures. Four rats served as healthy controls. Additionally, five patients with focal epilepsy underwent [18F]FET PET within 12 days after the last documented seizure. RESULTS No abnormalities in [18F]FET PET or MRI were detected in the kindling model. The SE model showed significantly decreased [18F]FET uptake 3 days after SE in all examined brain regions, and especially in the amygdala region, which normalized within 2 weeks. Corresponding signal alterations in T2-weighted MRI were noted in the amygdala and hippocampus, which recovered 24 days post-SE. No abnormality of cerebral [18F]FET uptake was noted in the epilepsy patients. CONCLUSIONS There was no evidence for increased cerebral [18F]FET uptake after epileptic seizures neither in the rat models nor in patients. The SE model even showed decreased [18F]FET uptake throughout the brain. We conclude that epileptic seizures per se do not cause a longer lasting increased [18F]FET accumulation and are unlikely to be a major cause of pitfall for brain tumor diagnostics.
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Affiliation(s)
- Carina Stegmayr
- Institute of Neuroscience and Medicine (INM-4; INM-5; INM-11), Forschungszentrum Jülich, 52425, Jülich, Germany.
| | - Rainer Surges
- Department of Neurology, RWTH University Aachen, Aachen, Germany.,Department of Epileptology, University Hospital Bonn, Bonn, Germany
| | - Chang-Hoon Choi
- Institute of Neuroscience and Medicine (INM-4; INM-5; INM-11), Forschungszentrum Jülich, 52425, Jülich, Germany
| | - Nicole Burda
- Institute of Neuroscience and Medicine (INM-4; INM-5; INM-11), Forschungszentrum Jülich, 52425, Jülich, Germany
| | - Gabriele Stoffels
- Institute of Neuroscience and Medicine (INM-4; INM-5; INM-11), Forschungszentrum Jülich, 52425, Jülich, Germany
| | - Christian Filß
- Institute of Neuroscience and Medicine (INM-4; INM-5; INM-11), Forschungszentrum Jülich, 52425, Jülich, Germany.,Department of Nuclear Medicine, RWTH University Hospital Aachen, Aachen, Germany
| | - Antje Willuweit
- Institute of Neuroscience and Medicine (INM-4; INM-5; INM-11), Forschungszentrum Jülich, 52425, Jülich, Germany
| | - Bernd Neumaier
- Institute of Neuroscience and Medicine (INM-4; INM-5; INM-11), Forschungszentrum Jülich, 52425, Jülich, Germany
| | - Alexander Heinzel
- Institute of Neuroscience and Medicine (INM-4; INM-5; INM-11), Forschungszentrum Jülich, 52425, Jülich, Germany.,Department of Nuclear Medicine, RWTH University Hospital Aachen, Aachen, Germany
| | - N Jon Shah
- Institute of Neuroscience and Medicine (INM-4; INM-5; INM-11), Forschungszentrum Jülich, 52425, Jülich, Germany.,Department of Neurology, RWTH University Aachen, Aachen, Germany.,JARA - BRAIN - Translational Medicine, Aachen, Germany
| | - Felix M Mottaghy
- Department of Nuclear Medicine, RWTH University Hospital Aachen, Aachen, Germany.,Centre of Integrated Oncology (CIO), University of Aachen, Bonn, Cologne and Düsseldorf, Germany
| | - Karl-Josef Langen
- Institute of Neuroscience and Medicine (INM-4; INM-5; INM-11), Forschungszentrum Jülich, 52425, Jülich, Germany.,Department of Nuclear Medicine, RWTH University Hospital Aachen, Aachen, Germany.,JARA - BRAIN - Translational Medicine, Aachen, Germany.,Centre of Integrated Oncology (CIO), University of Aachen, Bonn, Cologne and Düsseldorf, Germany
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