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Seyedpour SM, Nafisi S, Nabati M, Pierce DM, Reichenbach JR, Ricken T. Magnetic Resonance Imaging-based biomechanical simulation of cartilage: A systematic review. J Mech Behav Biomed Mater 2021; 126:104963. [PMID: 34894500 DOI: 10.1016/j.jmbbm.2021.104963] [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: 09/05/2020] [Revised: 10/30/2021] [Accepted: 11/06/2021] [Indexed: 11/19/2022]
Abstract
MRI-based mathematical and computational modeling studies can contribute to a better understanding of the mechanisms governing cartilage's mechanical performance and cartilage disease. In addition, distinct modeling of cartilage is needed to optimize artificial cartilage production. These studies have opened up the prospect of further deepening our understanding of cartilage function. Furthermore, these studies reveal the initiation of an engineering-level approach to how cartilage disease affects material properties and cartilage function. Aimed at researchers in the field of MRI-based cartilage simulation, research articles pertinent to MRI-based cartilage modeling were identified, reviewed, and summarized systematically. Various MRI applications for cartilage modeling are highlighted, and the limitations of different constitutive models used are addressed. In addition, the clinical application of simulations and studied diseases are discussed. The paper's quality, based on the developed questionnaire, was assessed, and out of 79 reviewed papers, 34 papers were determined as high-quality. Due to the lack of the best constitutive models for various clinical conditions, researchers may consider the effect of constitutive material models on the cartilage disease simulation. In the future, research groups may incorporate various aspects of machine learning into constitutive models and MRI data extraction to further refine the study methodology. Moreover, researchers should strive for further reproducibility and rigorous model validation and verification, such as gait analysis.
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Affiliation(s)
- S M Seyedpour
- Institute of Mechanics, Structural Analysis and Dynamics, Faculty of Aerospace Engineering and Geodesy, University of Stuttgart, Pfaffenwaldring 27, 70569 Stuttgart, Germany; Biomechanics Lab, Institute of Mechanics, Structural Analysis and Dynamics, Faculty of Aerospace Engineering and Geodesy, University of Stuttgart, Pfaffenwaldring 27, 70569 Stuttgart, Germany
| | - S Nafisi
- Faculty of Pharmacy, Istinye University, Maltepe, Cirpici Yolu B Ck. No. 9, 34010 Zeytinburnu, Istanbul, Turkey
| | - M Nabati
- Department of Mechanical Engineering, Faculty of Engineering, Boğaziçi University, 34342 Bebek, Istanbul, Turkey
| | - D M Pierce
- Department of Mechanical Engineering, University of Connecticut, 191 Auditorium Road, Unit 3139, Storrs, CT, 06269, USA; Department of Biomedical Engineering, University of Connecticut, 260 Glenbrook Road, Unit 3247, Storrs, CT, 06269, USA
| | - J R Reichenbach
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital-Friedrich Schiller University Jena, Jena, Germany; Center of Medical Optics and Photonics, Friedrich Schiller University Jena, Germany; Michael Stifel Center for Data-driven and Simulation Science Jena, Friedrich Schiller University Jena, Germany
| | - T Ricken
- Institute of Mechanics, Structural Analysis and Dynamics, Faculty of Aerospace Engineering and Geodesy, University of Stuttgart, Pfaffenwaldring 27, 70569 Stuttgart, Germany; Biomechanics Lab, Institute of Mechanics, Structural Analysis and Dynamics, Faculty of Aerospace Engineering and Geodesy, University of Stuttgart, Pfaffenwaldring 27, 70569 Stuttgart, Germany.
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Pigoni A, Dwyer D, Squarcina L, Borgwardt S, Crespo-Facorro B, Dazzan P, Smesny S, Spaniel F, Spalletta G, Sanfelici R, Antonucci LA, Reuf A, Oeztuerk OF, Schmidt A, Ciufolini S, Schönborn-Harrisberger F, Langbein K, Gussew A, Reichenbach JR, Zaytseva Y, Piras F, Delvecchio G, Bellani M, Ruggeri M, Lasalvia A, Tordesillas-Gutiérrez D, Ortiz V, Murray RM, Reis-Marques T, Di Forti M, Koutsouleris N, Brambilla P. Classification of first-episode psychosis using cortical thickness: A large multicenter MRI study. Eur Neuropsychopharmacol 2021; 47:34-47. [PMID: 33957410 DOI: 10.1016/j.euroneuro.2021.04.002] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Revised: 03/21/2021] [Accepted: 04/06/2021] [Indexed: 12/19/2022]
Abstract
Machine learning classifications of first-episode psychosis (FEP) using neuroimaging have predominantly analyzed brain volumes. Some studies examined cortical thickness, but most of them have used parcellation approaches with data from single sites, which limits claims of generalizability. To address these limitations, we conducted a large-scale, multi-site analysis of cortical thickness comparing parcellations and vertex-wise approaches. By leveraging the multi-site nature of the study, we further investigated how different demographical and site-dependent variables affected predictions. Finally, we assessed relationships between predictions and clinical variables. 428 subjects (147 females, mean age 27.14) with FEP and 448 (230 females, mean age 27.06) healthy controls were enrolled in 8 centers by the ClassiFEP group. All subjects underwent a structural MRI and were clinically assessed. Cortical thickness parcellation (68 areas) and full cortical maps (20,484 vertices) were extracted. Linear Support Vector Machine was used for classification within a repeated nested cross-validation framework. Vertex-wise thickness maps outperformed parcellation-based methods with a balanced accuracy of 66.2% and an Area Under the Curve of 72%. By stratifying our sample for MRI scanner, we increased generalizability across sites. Temporal brain areas resulted as the most influential in the classification. The predictive decision scores significantly correlated with age at onset, duration of treatment, and positive symptoms. In conclusion, although far from the threshold of clinical relevance, temporal cortical thickness proved to classify between FEP subjects and healthy individuals. The assessment of site-dependent variables permitted an increase in the across-site generalizability, thus attempting to address an important machine learning limitation.
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Affiliation(s)
- A Pigoni
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, via F. Sforza 35, 20122 Milan, Italy; Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy; MoMiLab Research Unit, IMT School for Advanced Studies Lucca, Lucca, Italy
| | - D Dwyer
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany
| | - L Squarcina
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, via F. Sforza 35, 20122 Milan, Italy
| | - S Borgwardt
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland; Department of Psychiatry and Psychotherapy, University of Lübeck, Germany
| | - B Crespo-Facorro
- Department of Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria-IDIVAL, Santander, Spain; University Hospital Virgen del Rocio, Department of Psychiatry, School of Medicine, University of Sevilla-IBiS, CIBERSAM, Sevilla, Spain
| | - P Dazzan
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - S Smesny
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - F Spaniel
- Department of Applied Neurosciences and Brain Imaging, National Institute of Mental Health, Klecany Czechia
| | - G Spalletta
- Department of Clinical and Behavioural Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - R Sanfelici
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany; Max Planck School of Cognition, Stephanstrasse 1a, Leipzig, Germany
| | - L A Antonucci
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany; Department of Education, Psychology, Communication, University of Bari Aldo Moro, Bari, Italy
| | - A Reuf
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany
| | - Oe F Oeztuerk
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany; International Max Planck Research School for Translational Psychiatry, Munich, Germany
| | - A Schmidt
- Department of Psychiatry (UPK), University of Basel, Basel, Switzerland
| | - S Ciufolini
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | | | - K Langbein
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - A Gussew
- Department of Radiology, University Hospital Halle (Saale), Germany
| | - J R Reichenbach
- Medical Physics Group, Department of Diagnostic and Interventional Radiology, Jena University Hospital, Jena, Germany
| | - Y Zaytseva
- Department of Applied Neurosciences and Brain Imaging, National Institute of Mental Health, Klecany Czechia
| | - F Piras
- Department of Clinical and Behavioural Neurology, IRCCS Santa Lucia Foundation, Rome, Italy
| | - G Delvecchio
- Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy
| | - M Bellani
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Italy; UOC of Psychiatry, Azienda Ospedaliera Universitaria Integrata (AOUI) of Verona, Italy
| | - M Ruggeri
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Italy; UOC of Psychiatry, Azienda Ospedaliera Universitaria Integrata (AOUI) of Verona, Italy
| | - A Lasalvia
- Department of Neurosciences, Biomedicine and Movement Sciences, Section of Psychiatry, University of Verona, Italy; UOC of Psychiatry, Azienda Ospedaliera Universitaria Integrata (AOUI) of Verona, Italy
| | - D Tordesillas-Gutiérrez
- Department of Radiology, Marqués de Valdecilla University Hospital, Valdecilla Biomedical Research Institute IDIVAL, Spain
| | - V Ortiz
- Department of Psychiatry, University Hospital Marqués de Valdecilla, School of Medicine, University of Cantabria-IDIVAL, Santander, Spain
| | - R M Murray
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - T Reis-Marques
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - M Di Forti
- Department of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, UK
| | - N Koutsouleris
- Department of Psychiatry and Psychotherapy, Ludwig-Maximilian-University, Munich, Germany
| | - P Brambilla
- Department of Neurosciences and Mental Health, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, via F. Sforza 35, 20122 Milan, Italy; Department of Pathophysiology and Transplantation, University of Milan, Milan, Italy.
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Joerk A, Ritter M, Langguth N, Seidel RA, Freitag D, Herrmann KH, Schaefgen A, Ritter M, Günther M, Sommer C, Braemer D, Walter J, Ewald C, Kalff R, Reichenbach JR, Westerhausen M, Pohnert G, Witte OW, Holthoff K. Propentdyopents as Heme Degradation Intermediates Constrict Mouse Cerebral Arterioles and Are Present in the Cerebrospinal Fluid of Patients With Subarachnoid Hemorrhage. Circ Res 2019; 124:e101-e114. [PMID: 30947629 DOI: 10.1161/circresaha.118.314160] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
RATIONALE Delayed ischemic neurological deficit is the most common cause of neurological impairment and unfavorable prognosis in patients with subarachnoid hemorrhage (SAH). Despite the existence of neuroimaging modalities that depict the onset of the accompanying cerebral vasospasm, preventive and therapeutic options are limited and fail to improve outcome owing to an insufficient pathomechanistic understanding of the delayed perfusion deficit. Previous studies have suggested that BOXes (bilirubin oxidation end products), originating from released heme surrounding ruptured blood vessels, are involved in arterial vasoconstriction. Recently, isolated intermediates of oxidative bilirubin degradation, known as PDPs (propentdyopents), have been considered as potential additional effectors in the development of arterial vasoconstriction. OBJECTIVE To investigate whether PDPs and BOXes are present in hemorrhagic cerebrospinal fluid and involved in the vasoconstriction of cerebral arterioles. METHODS AND RESULTS Via liquid chromatography/mass spectrometry, we measured increased PDP and BOX concentrations in cerebrospinal fluid of SAH patients compared with control subjects. Using differential interference contrast microscopy, we analyzed the vasoactivity of PDP isomers in vitro by monitoring the arteriolar diameter in mouse acute brain slices. We found an arteriolar constriction on application of PDPs in the concentration range that occurs in the cerebrospinal fluid of patients with SAH. By imaging arteriolar diameter changes using 2-photon microscopy in vivo, we demonstrated a short-onset vasoconstriction after intrathecal injection of either PDPs or BOXes. Using magnetic resonance imaging, we observed a long-term PDP-induced delay in cerebral perfusion. For all conditions, the arteriolar narrowing was dependent on functional big conductance potassium channels and was absent in big conductance potassium channels knockout mice. CONCLUSIONS For the first time, we have quantified significantly higher concentrations of PDP and BOX isomers in the cerebrospinal fluid of patients with SAH compared to controls. The vasoconstrictive effect caused by PDPs in vitro and in vivo suggests a hitherto unrecognized pathway contributing to the pathogenesis of delayed ischemic deficit in patients with SAH.
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Affiliation(s)
- Alexander Joerk
- From the Hans Berger Department of Neurology (A.J., N.L., A.S., Marvin Ritter, M.G., C.S., D.B., O.W.W., K.H.), Jena University Hospital, Germany.,Research Program Else Kröner-Forschungskolleg AntiAge (A.J.), Jena University Hospital, Germany
| | | | - Niklas Langguth
- From the Hans Berger Department of Neurology (A.J., N.L., A.S., Marvin Ritter, M.G., C.S., D.B., O.W.W., K.H.), Jena University Hospital, Germany
| | - Raphael Andreas Seidel
- Department of Anesthesiology and Intensive Care Medicine / Center for Sepsis Control and Care (R.A.S.), Jena University Hospital, Germany.,Institute of Inorganic and Analytical Chemistry, Friedrich Schiller University Jena, Germany (Marcel Ritter, R.A.S., M.W., G.P.)
| | - Diana Freitag
- Department of Neurosurgery (D.F., J.W., R.K.), Jena University Hospital, Germany
| | - Karl-Heinz Herrmann
- Medical Physics Group, Institute for Diagnostic and Interventional Radiology, Jena University Hospital, Germany (K.-H.H., J.R.R.)
| | - Anna Schaefgen
- From the Hans Berger Department of Neurology (A.J., N.L., A.S., Marvin Ritter, M.G., C.S., D.B., O.W.W., K.H.), Jena University Hospital, Germany
| | - Marvin Ritter
- From the Hans Berger Department of Neurology (A.J., N.L., A.S., Marvin Ritter, M.G., C.S., D.B., O.W.W., K.H.), Jena University Hospital, Germany
| | - Milena Günther
- From the Hans Berger Department of Neurology (A.J., N.L., A.S., Marvin Ritter, M.G., C.S., D.B., O.W.W., K.H.), Jena University Hospital, Germany
| | - Charline Sommer
- From the Hans Berger Department of Neurology (A.J., N.L., A.S., Marvin Ritter, M.G., C.S., D.B., O.W.W., K.H.), Jena University Hospital, Germany
| | - Dirk Braemer
- From the Hans Berger Department of Neurology (A.J., N.L., A.S., Marvin Ritter, M.G., C.S., D.B., O.W.W., K.H.), Jena University Hospital, Germany
| | - Jan Walter
- Department of Neurosurgery (D.F., J.W., R.K.), Jena University Hospital, Germany
| | - Christian Ewald
- Department of Neurosurgery, Brandenburg Medical School, Campus Brandenburg an der Havel, Germany (C.E.)
| | - Rolf Kalff
- Department of Neurosurgery (D.F., J.W., R.K.), Jena University Hospital, Germany
| | - Jürgen Rainer Reichenbach
- Medical Physics Group, Institute for Diagnostic and Interventional Radiology, Jena University Hospital, Germany (K.-H.H., J.R.R.)
| | - Matthias Westerhausen
- Institute of Inorganic and Analytical Chemistry, Friedrich Schiller University Jena, Germany (Marcel Ritter, R.A.S., M.W., G.P.)
| | - Georg Pohnert
- Institute of Inorganic and Analytical Chemistry, Friedrich Schiller University Jena, Germany (Marcel Ritter, R.A.S., M.W., G.P.)
| | - Otto Wilhelm Witte
- From the Hans Berger Department of Neurology (A.J., N.L., A.S., Marvin Ritter, M.G., C.S., D.B., O.W.W., K.H.), Jena University Hospital, Germany
| | - Knut Holthoff
- From the Hans Berger Department of Neurology (A.J., N.L., A.S., Marvin Ritter, M.G., C.S., D.B., O.W.W., K.H.), Jena University Hospital, Germany
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Langbein K, Hesse J, Gussew A, Milleit B, Lavoie S, Amminger GP, Gaser C, Wagner G, Reichenbach JR, Hipler UC, Winter D, Smesny S. Disturbed glutathione antioxidative defense is associated with structural brain changes in neuroleptic-naïve first-episode psychosis patients. Prostaglandins Leukot Essent Fatty Acids 2018; 136:103-110. [PMID: 29111383 DOI: 10.1016/j.plefa.2017.10.005] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [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: 11/09/2016] [Revised: 09/30/2017] [Accepted: 10/16/2017] [Indexed: 12/31/2022]
Abstract
BACKGROUND Oxidative stress and impaired antioxidant defense are reported in schizophrenia and are thought to be associated with disturbed neurodevelopment, brain structural alterations, glutamatergic imbalance, negative symptomatology, and cognitive impairment. To test some of these assumptions we investigated the glutathione (GSH) antioxidant defense system (AODS) and brain structural abnormalities in drug-naïve individuals with first acute episode of psychosis (FEP). METHOD The study involved 27 drug-naïve FEP patients and 31 healthy controls (HC). GSH AODS markers and TBARS (thiobarbituric acid reactive substances) were measured in blood plasma and erythrocytes. High-resolution T1-weighted 3T MRI were acquired from all subjects. To investigate brain structural abnormalities and effects of illness on interactions between GSH metabolites or enzyme activities and local grey matter density, voxel-based morphometry (VBM) with the computational anatomy toolbox (CAT12) was used. Symptomatology was assessed using the Positive and Negative Syndrome Scale (PANSS) and the Symptom Checklist 1990 revised (SCL-90-R). RESULTS (i) In FEP patients, glutathione reductase activity (GSR) was lower than in the HC group. GSR activity in plasma was inversely correlated with SCL-90-R scores of depression and PANSS scores of the negative symptom subscale. (ii) A reduction of GM was observed in left inferior frontal, bilateral temporal, as well as parietal cortices of FEP patients. (iii) Interaction analyses revealed an influence of illness on GSR/GM associations in the left orbitofrontal cortex (BA 47). CONCLUSION Our findings support the notion of altered GSH antioxidative defense in untreated acute psychosis as a potential pathomechanism for localized brain structural abnormalities. This pathology relates to a key brain region of social cognition, affective motivation control and decision making, and is clinically accompanied by depressive and negative symptoms.
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Affiliation(s)
- K Langbein
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany.
| | - J Hesse
- Department of Dermatology, University Hospital Jena, Jena, Germany
| | - A Gussew
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital, Jena, Germany
| | - B Milleit
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Department of Dermatology, University Hospital Jena, Jena, Germany
| | - S Lavoie
- Orygen, the National Centre of Excellence in Youth Mental Health, Parkville, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
| | - G P Amminger
- Orygen, the National Centre of Excellence in Youth Mental Health, Parkville, Australia; Centre for Youth Mental Health, The University of Melbourne, Parkville, Australia
| | - C Gaser
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany; Department of Neurology, Jena University Hospital, Jena, Germany
| | - G Wagner
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - J R Reichenbach
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital, Jena, Germany
| | - U-C Hipler
- Department of Dermatology, University Hospital Jena, Jena, Germany
| | - D Winter
- Department of Dermatology, University Hospital Jena, Jena, Germany
| | - S Smesny
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
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Moll K, Gussew A, Hein C, Stutzig N, Reichenbach JR. Combined spiroergometry and 31 P-MRS of human calf muscle during high-intensity exercise. NMR Biomed 2017; 30:e3723. [PMID: 28340292 DOI: 10.1002/nbm.3723] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [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: 07/05/2016] [Revised: 02/07/2017] [Accepted: 02/08/2017] [Indexed: 06/06/2023]
Abstract
Simultaneous measurements of pulmonary oxygen consumption (VO2 ), carbon dioxide exhalation (VCO2 ) and phosphorus magnetic resonance spectroscopy (31 P-MRS) are valuable in physiological studies to evaluate muscle metabolism during specific loads. Therefore, the aim of this study was to adapt a commercially available spirometric device to enable measurements of VO2 and VCO2 whilst simultaneously performing 31 P-MRS at 3 T. Volunteers performed intense plantar flexion of their right calf muscle inside the MR scanner against a pneumatic MR-compatible pedal ergometer. The use of a non-magnetic pneumotachograph and extension of the sampling line from 3 m to 5 m to place the spirometric device outside the MR scanner room did not affect adversely the measurements of VO2 and VCO2 . Response and delay times increased, on average, by at most 0.05 s and 0.79 s, respectively. Overall, we were able to demonstrate a feasible ventilation response (VO2 = 1.05 ± 0.31 L/min; VCO2 = 1.11 ± 0.33 L/min) during the exercise of a single calf muscle, as well as a good correlation between local energy metabolism and muscular acidification (τPCr fast and pH; R2 = 0.73, p < 0.005) and global respiration (τPCr fast and VO2 ; R2 = 0.55, p = 0.01). This provides improved insights into aerobic and anaerobic energy supply during strong muscular performances.
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Affiliation(s)
- K Moll
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital, Friedrich Schiller University Jena, Jena, Germany
| | - A Gussew
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital, Friedrich Schiller University Jena, Jena, Germany
| | - C Hein
- Ganshorn Medizin Electronic GmbH, Niederlauer, Germany
| | - N Stutzig
- Exercise Science, Institute of Sport and Movement Science, University of Stuttgart, Stuttgart, Germany
| | - J R Reichenbach
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital, Friedrich Schiller University Jena, Jena, Germany
- Michael Stifel Center for Data-Driven and Simulation Science Jena, Friedrich Schiller University Jena, Jena, Germany
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Özbay PS, Deistung A, Feng X, Nanz D, Reichenbach JR, Schweser F. A comprehensive numerical analysis of background phase correction with V-SHARP. NMR Biomed 2017; 30:10.1002/nbm.3550. [PMID: 27259117 PMCID: PMC5136354 DOI: 10.1002/nbm.3550] [Citation(s) in RCA: 58] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2015] [Revised: 03/18/2016] [Accepted: 04/11/2016] [Indexed: 05/19/2023]
Abstract
Sophisticated harmonic artifact reduction for phase data (SHARP) is a method to remove background field contributions in MRI phase images, which is an essential processing step for quantitative susceptibility mapping (QSM). To perform SHARP, a spherical kernel radius and a regularization parameter need to be defined. In this study, we carried out an extensive analysis of the effect of these two parameters on the corrected phase images and on the reconstructed susceptibility maps. As a result of the dependence of the parameters on acquisition and processing characteristics, we propose a new SHARP scheme with generalized parameters. The new SHARP scheme uses a high-pass filtering approach to define the regularization parameter. We employed the variable-kernel SHARP (V-SHARP) approach, using different maximum radii (Rm ) between 1 and 15 mm and varying regularization parameters (f) in a numerical brain model. The local root-mean-square error (RMSE) between the ground-truth, background-corrected field map and the results from SHARP decreased towards the center of the brain. RMSE of susceptibility maps calculated with a spatial domain algorithm was smallest for Rm between 6 and 10 mm and f between 0 and 0.01 mm-1 , and for maps calculated with a Fourier domain algorithm for Rm between 10 and 15 mm and f between 0 and 0.0091 mm-1 . We demonstrated and confirmed the new parameter scheme in vivo. The novel regularization scheme allows the use of the same regularization parameter irrespective of other imaging parameters, such as image resolution. Copyright © 2016 John Wiley & Sons, Ltd.
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Affiliation(s)
- Pinar Senay Özbay
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
- Institute for Biomedical Engineering, University of Zurich and ETH Zürich, Zurich, Switzerland
| | - Andreas Deistung
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany
| | - Xiang Feng
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Daniel Nanz
- Institute of Diagnostic and Interventional Radiology, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Jürgen Rainer Reichenbach
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany
- Michael Stifel Center for Data-driven and Simulation Science Jena, Friedrich Schiller University Jena, Jena, Germany
| | - Ferdinand Schweser
- MRI Clinical and Translational Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
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7
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Langkammer C, Pirpamer L, Seiler S, Deistung A, Schweser F, Franthal S, Homayoon N, Katschnig-Winter P, Koegl-Wallner M, Pendl T, Stoegerer EM, Wenzel K, Fazekas F, Ropele S, Reichenbach JR, Schmidt R, Schwingenschuh P. Quantitative Susceptibility Mapping in Parkinson's Disease. PLoS One 2016; 11:e0162460. [PMID: 27598250 PMCID: PMC5012676 DOI: 10.1371/journal.pone.0162460] [Citation(s) in RCA: 151] [Impact Index Per Article: 18.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2016] [Accepted: 08/23/2016] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND Quantitative susceptibility mapping (QSM) and R2* relaxation rate mapping have demonstrated increased iron deposition in the substantia nigra of patients with idiopathic Parkinson's disease (PD). However, the findings in other subcortical deep gray matter nuclei are converse and the sensitivity of QSM and R2* for morphological changes and their relation to clinical measures of disease severity has so far been investigated only sparsely. METHODS The local ethics committee approved this study and all subjects gave written informed consent. 66 patients with idiopathic Parkinson's disease and 58 control subjects underwent quantitative MRI at 3T. Susceptibility and R2* maps were reconstructed from a spoiled multi-echo 3D gradient echo sequence. Mean susceptibilities and R2* rates were measured in subcortical deep gray matter nuclei and compared between patients with PD and controls as well as related to clinical variables. RESULTS Compared to control subjects, patients with PD had increased R2* values in the substantia nigra. QSM also showed higher susceptibilities in patients with PD in substantia nigra, in the nucleus ruber, thalamus, and globus pallidus. Magnetic susceptibility of several of these structures was correlated with the levodopa-equivalent daily dose (LEDD) and clinical markers of motor and non-motor disease severity (total MDS-UPDRS, MDS-UPDRS-I and II). Disease severity as assessed by the Hoehn & Yahr scale was correlated with magnetic susceptibility in the substantia nigra. CONCLUSION The established finding of higher R2* rates in the substantia nigra was extended by QSM showing superior sensitivity for PD-related tissue changes in nigrostriatal dopaminergic pathways. QSM additionally reflected the levodopa-dosage and disease severity. These results suggest a more widespread pathologic involvement and QSM as a novel means for its investigation, more sensitive than current MRI techniques.
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Affiliation(s)
| | - Lukas Pirpamer
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Stephan Seiler
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Andreas Deistung
- Medical Physics Group, University Hospital-Friedrich Schiller University Jena, Jena, Germany
| | - Ferdinand Schweser
- Buffalo Neuroimaging Analysis Center, Department of Neurology, University at Buffalo, The State University of New York, Buffalo, NY, United States of America
- MRI Molecular and Translational Imaging Center, Clinical and Translational Research Center, University at Buffalo, The State University of New York, Buffalo, NY, United States of America
| | | | - Nina Homayoon
- Department of Neurology, Medical University of Graz, Graz, Austria
| | | | | | - Tamara Pendl
- Department of Neurology, Medical University of Graz, Graz, Austria
| | | | - Karoline Wenzel
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Franz Fazekas
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Stefan Ropele
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Jürgen Rainer Reichenbach
- Medical Physics Group, University Hospital-Friedrich Schiller University Jena, Jena, Germany
- Michael Stifel Center for Data-driven and Simulation Science Jena, Friedrich Schiller University Jena, Jena, Germany
| | - Reinhold Schmidt
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Petra Schwingenschuh
- Department of Neurology, Medical University of Graz, Graz, Austria
- Division of Neuroradiology, Department of Radiology, Medical University of Graz, Graz, Austria
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8
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Abstract
PURPOSE To review the fundamental principles of susceptibility-weighted imaging (SWI) and quantitative susceptibility mapping (QSM), and to discuss recent clinical developments. METHODS SWI is a magnetic resonance imaging method that takes advantage of magnitude signal loss and phase information to reveal anatomic and physiologic information about tissue and venous vasculature. The method enhances image contrast qualitatively, relying on phase shifts due to differences in magnetic susceptibility between tissues. QSM, extending SWI in an elegant way, is a new sophisticated postprocessing technique that numerically solves the inverse source-effect problem to derive local tissue magnetic susceptibility (source) from the measured magnetic field distribution (effect) as it is reflected in the phase images of gradient-echo sequences. RESULTS SWI has meanwhile been established in numerous clinical as well as basic biomedical applications due to its ability to highlight tissue structures and compounds that are difficult to detect by conventional magnetic resonance imaging (MRI), including iron, calcifications, small veins, blood, and bones. The field of QSM has also progressed rapidly, both in terms of optimizing the post-processing strategies and algorithms as well as in gaining ground for new clinical applications that take advantage of its quantitative nature and improved specificity to identify the magnetic signature of lesions. CONCLUSIONS Though magnetic susceptibility may be a major nuisance producing image artifacts in MRI, recent work has transformed it into a useful source of image contrast. Both SWI and QSM are gaining increasing acceptance in clinical practice. In particular, QSM provides new insights into tissue composition and organization due to its more direct relation to the actual physical tissue magnetic properties.
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Affiliation(s)
- J R Reichenbach
- Medical Physics Group, Institute for Diagnostic and Interventional Radiology, University Hospital Jena, Friedrich-Schiller University, Philosophenweg 3, 07743, Jena, Germany. .,Michael Stifel Center for Data-driven and Simulation Science Jena, Friedrich Schiller University, Jena, Germany.
| | - F Schweser
- Buffalo Neuroimaging Analysis Center, Department of Neurology, School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, USA.,MRI Clinical and Translational Research Center, School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, USA
| | - B Serres
- Medical Physics Group, Institute for Diagnostic and Interventional Radiology, University Hospital Jena, Friedrich-Schiller University, Philosophenweg 3, 07743, Jena, Germany.
| | - A Deistung
- Medical Physics Group, Institute for Diagnostic and Interventional Radiology, University Hospital Jena, Friedrich-Schiller University, Philosophenweg 3, 07743, Jena, Germany
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Krämer M, Biermann J, Reichenbach JR. Intrinsic correction of system delays for radial magnetic resonance imaging. Magn Reson Imaging 2015; 33:491-6. [PMID: 25601526 DOI: 10.1016/j.mri.2015.01.005] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [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: 02/19/2014] [Revised: 09/18/2014] [Accepted: 01/10/2015] [Indexed: 10/24/2022]
Abstract
INTRODUCTION When using radial MR image acquisition techniques gradient or sampling delays due to hardware imperfections can cause mismatch between the expected and the actual k-space trajectory along the readout direction. To provide a robust and simple correction of such system delays we developed a new calibration method which is independent of using any reference data or applying sequence modifications. MATERIAL AND METHODS Radial data obtained with 180°, 360° and golden-angle radial ordering schemes were deliberately shifted along the readout direction for a discrete range of gradient delays. Following 2D regridding, images were reconstructed and analyzed in image space for all applied shifts to estimate the optimal system delay. Phantom and in vivo measurements were performed to test the robustness of the algorithm. RESULTS Using the 360° and golden-angle radial ordering schemes system delays in the range of 3.3μs to 6.3μs were estimated and corrected for several imaging applications and different conditions, including cardiac and real-time MRI as well as multiple acquisitions using different imaging parameters and slice orientations. When using the standard 180° radial acquisition scheme no automated correction was possible. With a mean computation time of 23.2±14.0s for the delay estimation computational demands were moderate allowing implementation of the algorithm on the image reconstruction system of any modern MR system. CONCLUSION We have demonstrated that radial data acquired with a 360° or golden-angle ordering scheme can be used for reliable intrinsic correction of system delays. The proposed technique enables a per-scan correction of system delays without the need for additional calibration data or modifications of the radial imaging sequence.
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Affiliation(s)
- M Krämer
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital-Friedrich Schiller University Jena.
| | - J Biermann
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital-Friedrich Schiller University Jena
| | - J R Reichenbach
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital-Friedrich Schiller University Jena
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10
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Nenadic I, Maitra R, Basmanav FB, Schultz CC, Lorenz C, Schachtzabel C, Smesny S, Nöthen MM, Cichon S, Reichenbach JR, Sauer H, Schlösser RGM, Gaser C. ZNF804A genetic variation (rs1344706) affects brain grey but not white matter in schizophrenia and healthy subjects. Psychol Med 2015; 45:143-152. [PMID: 25065377 DOI: 10.1017/s0033291714001159] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
BACKGROUND Genetic variation in the gene encoding ZNF804A, a risk gene for schizophrenia, has been shown to affect brain functional endophenotypes of the disorder, while studies of white matter structure have been inconclusive. METHOD We analysed effects of ZNF804A single nucleotide polymorphism rs1344706 on grey and white matter using voxel-based morphometry (VBM) in high-resolution T1-weighted magnetic resonance imaging scans of 62 schizophrenia patients and 54 matched healthy controls. RESULTS We found a significant (p < 0.05, family-wise error corrected for multiple comparisons) interaction effect of diagnostic group x genotype for local grey matter in the left orbitofrontal and right and left lateral temporal cortices, where patients and controls showed diverging effects of genotype. Analysing the groups separately (at p < 0.001, uncorrected), variation in rs1344706 showed effects on brain structure within the schizophrenia patients in several areas including the left and right inferior temporal, right supramarginal/superior temporal, right and left inferior frontal, left frontopolar, right and left dorsolateral/ventrolateral prefrontal cortices, and the right thalamus, as well as effects within the healthy controls in left lateral temporal, right anterior insula and left orbitofrontal cortical areas. We did not find effects of genotype of regional white matter in either of the two cohorts. CONCLUSIONS Our findings demonstrate effects of ZNF804A genetic variation on brain structure, with diverging regional effects in schizophrenia patients and healthy controls in frontal and temporal brain areas. These effects, however, might be dependent on the impact of other (genetic or non-genetic) disease factors.
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Affiliation(s)
- I Nenadic
- Department of Psychiatry and Psychotherapy,Jena University Hospital,Jena,Germany
| | - R Maitra
- Department of Psychiatry and Psychotherapy,Jena University Hospital,Jena,Germany
| | - F B Basmanav
- Institute of Human Genetics,University of Bonn,Bonn,Germany
| | - C C Schultz
- Department of Psychiatry and Psychotherapy,Jena University Hospital,Jena,Germany
| | - C Lorenz
- Department of Psychiatry and Psychotherapy,Jena University Hospital,Jena,Germany
| | - C Schachtzabel
- Department of Psychiatry and Psychotherapy,Jena University Hospital,Jena,Germany
| | - S Smesny
- Department of Psychiatry and Psychotherapy,Jena University Hospital,Jena,Germany
| | - M M Nöthen
- Institute of Human Genetics,University of Bonn,Bonn,Germany
| | - S Cichon
- Department of Genomics, Life and Brain Center,University of Bonn,Bonn,Germany
| | - J R Reichenbach
- Medical Physics Group, Institute for Diagnostic and Interventional Radiology I (IDIR I),Jena University Hospital,Germany
| | - H Sauer
- Department of Psychiatry and Psychotherapy,Jena University Hospital,Jena,Germany
| | - R G M Schlösser
- Department of Psychiatry and Psychotherapy,Jena University Hospital,Jena,Germany
| | - C Gaser
- Department of Psychiatry and Psychotherapy,Jena University Hospital,Jena,Germany
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Krämer M, Herrmann KH, Biermann J, Freiburger JS, Schwarzer M, Reichenbach JR. Intrinsisch getriggerte MR-Herzbildgebung der Ratte an einem klinischen 3T MR-Scanner. ROFO-FORTSCHR RONTG 2014. [DOI: 10.1055/s-0034-1373475] [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: 10/25/2022]
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12
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Mingoia G, Langbein K, Dietzek M, Wagner G, Smesny S, Scherpiet S, Maitra R, Reichenbach JR, Gaser C, Sauer H, Nenadic I, Schlösser RGM. Frequency domains of resting state default mode network activity in schizophrenia. KLIN NEUROPHYSIOL 2014. [DOI: 10.1055/s-0034-1371243] [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: 10/25/2022]
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13
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Schultz CC, Mühleisen TW, Nenadic I, Koch K, Wagner G, Schachtzabel C, Siedek F, Nöthen MM, Rietschel M, Deufel T, Kiehntopf M, Cichon S, Reichenbach JR, Sauer H, Schlösser RGM. Common variation in NCAN, a risk factor for bipolar disorder and schizophrenia, influences local cortical folding in schizophrenia. Psychol Med 2014; 44:811-820. [PMID: 23795679 DOI: 10.1017/s0033291713001414] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND Recent studies have provided strong evidence that variation in the gene neurocan (NCAN, rs1064395) is a common risk factor for bipolar disorder (BD) and schizophrenia. However, the possible relevance of NCAN variation to disease mechanisms in the human brain has not yet been explored. Thus, to identify a putative pathomechanism, we tested whether the risk allele has an influence on cortical thickness and folding in a well-characterized sample of patients with schizophrenia and healthy controls. METHOD Sixty-three patients and 65 controls underwent T1-weighted magnetic resonance imaging (MRI) and were genotyped for the single nucleotide polymorphism (SNP) rs1064395. Folding and thickness were analysed on a node-by-node basis using a surface-based approach (FreeSurfer). RESULTS In patients, NCAN risk status (defined by AA and AG carriers) was found to be associated with higher folding in the right lateral occipital region and at a trend level for the left dorsolateral prefrontal cortex. Controls did not show any association (p > 0.05). For cortical thickness, there was no significant effect in either patients or controls. CONCLUSIONS This study is the first to describe an effect of the NCAN risk variant on brain structure. Our data show that the NCAN risk allele influences cortical folding in the occipital and prefrontal cortex, which may establish disease susceptibility during neurodevelopment. The findings suggest that NCAN is involved in visual processing and top-down cognitive functioning. Both major cognitive processes are known to be disturbed in schizophrenia. Moreover, our study reveals new evidence for a specific genetic influence on local cortical folding in schizophrenia.
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Affiliation(s)
- C C Schultz
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Germany
| | - T W Mühleisen
- Institute of Human Genetics, University of Bonn, Germany
| | - I Nenadic
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Germany
| | - K Koch
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Germany
| | - G Wagner
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Germany
| | - C Schachtzabel
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Germany
| | - F Siedek
- Institute of Human Genetics, University of Bonn, Germany
| | - M M Nöthen
- Institute of Human Genetics, University of Bonn, Germany
| | - M Rietschel
- Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim/Heidelberg University, Germany
| | - T Deufel
- Department of Clinical Chemistry and Laboratory Diagnostics, Jena University Hospital, Germany
| | - M Kiehntopf
- Department of Clinical Chemistry and Laboratory Diagnostics, Jena University Hospital, Germany
| | - S Cichon
- Institute of Human Genetics, University of Bonn, Germany
| | - J R Reichenbach
- Medical Physics Group, Institute for Diagnostic and Interventional Radiology I, Jena University Hospital, Germany
| | - H Sauer
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Germany
| | - R G M Schlösser
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Germany
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14
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Abstract
Diffusion Tensor Imaging (DTI) and fiber tractography are important tools to map the cerebral white matter microstructure in vivo and to model the underlying axonal pathways in the brain with three-dimensional fiber tracts. As the fast and consistent extraction of anatomically correct fiber bundles for multiple datasets is still challenging, we present a novel atlas-guided clustering framework for exploratory data analysis of large tractography datasets. The framework uses an hierarchical cluster analysis approach that exploits the inherent redundancy in large datasets to time-efficiently group fiber tracts. Structural information of a white matter atlas can be incorporated into the clustering to achieve an anatomically correct and reproducible grouping of fiber tracts. This approach facilitates not only the identification of the bundles corresponding to the classes of the atlas; it also enables the extraction of bundles that are not present in the atlas. The new technique was applied to cluster datasets of 46 healthy subjects. Prospects of automatic and anatomically correct as well as reproducible clustering are explored. Reconstructed clusters were well separated and showed good correspondence to anatomical bundles. Using the atlas-guided cluster approach, we observed consistent results across subjects with high reproducibility. In order to investigate the outlier elimination performance of the clustering algorithm, scenarios with varying amounts of noise were simulated and clustered with three different outlier elimination strategies. By exploiting the multithreading capabilities of modern multiprocessor systems in combination with novel algorithms, our toolkit clusters large datasets in a couple of minutes. Experiments were conducted to investigate the achievable speedup and to demonstrate the high performance of the clustering framework in a multiprocessing environment.
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Affiliation(s)
- Christian Ros
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology I, Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany
- Pediatric Radiology, Institute of Diagnostic and Interventional Radiology I, Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany
- * E-mail:
| | - Daniel Güllmar
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology I, Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany
| | - Martin Stenzel
- Pediatric Radiology, Institute of Diagnostic and Interventional Radiology I, Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany
| | - Hans-Joachim Mentzel
- Pediatric Radiology, Institute of Diagnostic and Interventional Radiology I, Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany
| | - Jürgen Rainer Reichenbach
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology I, Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany
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15
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Hagemeier J, Dwyer MG, Bergsland N, Schweser F, Magnano CR, Heininen-Brown M, Ramasamy DP, Carl E, Kennedy C, Melia R, Polak P, Deistung A, Geurts JJG, Reichenbach JR, Zivadinov R. Effect of age on MRI phase behavior in the subcortical deep gray matter of healthy individuals. AJNR Am J Neuroradiol 2013; 34:2144-51. [PMID: 23721902 DOI: 10.3174/ajnr.a3569] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.3] [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: 01/03/2023]
Abstract
BACKGROUND AND PURPOSE It has been demonstrated that increased levels of iron in the brain occur with aging. In this study we investigated the nature of the association between age and SWI-filtered phase values, indicative of iron content, in the subcortical deep gray matter of healthy individuals. MATERIALS AND METHODS A total of 210 healthy individuals (men: n = 89, women: n = 121), mean age, 39.8 years (standard deviation = 15.5; range = 6-76 years), were imaged on a 3T scanner. Mean MRI phase, mean phase of low-phase voxels, and normalized volumes were determined for total subcortical deep gray matter, caudate, putamen, globus pallidus, thalamus, pulvinar nucleus, hippocampus, amygdala, nucleus accumbens, red nucleus, and substantia nigra. Linear and nonlinear regression models were used to explore the relationship between phase and volume measures, and aging. RESULTS Mean phase values of subcortical deep gray matter structures showed a quadratic relationship, with individuals in late middle age (40-59 years) having the lowest mean phase values, followed by a reversal of this trend in the elderly. In contrast, mean phase of low-phase voxel measurements showed strong negative linear relationships with aging. Significantly lower phase values were detected in women compared with men (P < .001), whereas no sex differences were observed for mean phase of low-phase voxels. Normalized volume measurements were also linearly related to aging, and women showed smaller normalized volumes of subcortical deep gray matter structures than men (P < .001). Lower mean phase of low-phase voxels was related to decreased volume measures. CONCLUSIONS A strong association between phase (quadratic effect; phase decreases are followed by increases), mean phase of low-phase voxels (linear effect), volume (linear effect), and age was observed. Low phase was related to brain atrophy.
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Affiliation(s)
- J Hagemeier
- Buffalo Neuroimaging Analysis Center, Department of Neurology, University at Buffalo, Buffalo, New York
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Schenk P, Siebert T, Hiepe P, Güllmar D, Reichenbach JR, Wick C, Blickhan R, Böl M. Determination of three-dimensional muscle architectures: validation of the DTI-based fiber tractography method by manual digitization. J Anat 2013; 223:61-8. [PMID: 23678961 DOI: 10.1111/joa.12062] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/22/2013] [Indexed: 11/29/2022] Open
Abstract
In the last decade, diffusion tensor imaging (DTI) has been used increasingly to investigate three-dimensional (3D) muscle architectures. So far there is no study that has proved the validity of this method to determine fascicle lengths and pennation angles within a whole muscle. To verify the DTI method, fascicle lengths of m. soleus as well as their pennation angles have been measured using two different methods. First, the 3D muscle architecture was analyzed in vivo applying the DTI method with subsequent deterministic fiber tractography. In a second step, the muscle architecture of the same muscle was analyzed using a standard manual digitization system (MicroScribe MLX). Comparing both methods, we found differences for the median pennation angles (P < 0.001) but not for the median fascicle lengths (P = 0.216). Despite the statistical results, we conclude that the DTI method is appropriate to determine the global fiber orientation. The difference in median pennation angles determined with both methods is only about 1.2° (median pennation angle of MicroScribe: 9.7°; DTI: 8.5°) and probably has no practical relevance for muscle simulation studies. Determining fascicle lengths requires additional restriction and further development of the DTI method.
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Affiliation(s)
- P Schenk
- Institute of Motion Science, Friedrich Schiller University, Jena, Germany.
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Reichenbach JR. Einführung. ROFO-FORTSCHR RONTG 2013. [DOI: 10.1055/s-0033-1345810] [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: 10/26/2022]
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18
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Reichenbach JR. Diffusionsbildgebung. ROFO-FORTSCHR RONTG 2013. [DOI: 10.1055/s-0033-1345985] [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: 10/26/2022]
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Domey J, Bergemann C, Krumbein I, Reichenbach JR, Bremer-Streck S, Kaiser WA, Hilger I. Optical and MR-Imaging of inflammation via mononuclear phagocyte labelling with bimodal nanoparticles. ROFO-FORTSCHR RONTG 2013. [DOI: 10.1055/s-0033-1346600] [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: 10/26/2022]
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20
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Deistung A, Schweser F, Wiestler B, Abello M, Roethke M, Sahm F, Wick W, Nagel AM, Heiland S, Schlemmer HP, Bendszus M, Reichenbach JR, Radbruch A. Quantitative susceptibility mapping differentiates between blood depositions and calcifications in patients with glioblastoma. PLoS One 2013; 8:e57924. [PMID: 23555565 PMCID: PMC3605431 DOI: 10.1371/journal.pone.0057924] [Citation(s) in RCA: 121] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2012] [Accepted: 01/28/2013] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVES The application of susceptibility weighted imaging (SWI) in brain tumor imaging is mainly used to assess tumor-related "susceptibility based signals" (SBS). The origin of SBS in glioblastoma is still unknown, potentially representing calcifications or blood depositions. Reliable differentiation between both entities may be important to evaluate treatment response and to identify glioblastoma with oligodendroglial components that are supposed to present calcifications. Since calcifications and blood deposits are difficult to differentiate using conventional MRI, we investigated whether a new post-processing approach, quantitative susceptibility mapping (QSM), is able to distinguish between both entities reliably. MATERIALS AND METHODS SWI, FLAIR, and T1-w images were acquired from 46 patients with glioblastoma (14 newly diagnosed, 24 treated with radiochemotherapy, 8 treated with radiochemotherapy and additional anti-angiogenic medication). Susceptibility maps were calculated from SWI data. All glioblastoma were evaluated for the appearance of hypointense or hyperintense correlates of SBS on the susceptibility maps. RESULTS 43 of 46 glioblastoma presented only hyperintense intratumoral SBS on susceptibility maps, indicating blood deposits. Additional hypointense correlates of tumor-related SBS on susceptibility maps, indicating calcification, were identified in 2 patients being treated with radiochemotherapy and in one patient being treated with additional anti-angiogenic medication. Histopathologic reports revealed an oligodendroglial component in one patient that presented calcifications on susceptibility maps. CONCLUSIONS QSM provides a quantitative, local MRI contrast, which reliably differentiates between blood deposits and calcifications. Thus, quantitative susceptibility mapping appears promising to identify rare variants of glioblastoma with oligodendroglial components non-invasively and may allow monitoring the role of calcification in the context of different therapy regimes.
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Affiliation(s)
- Andreas Deistung
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology I, Jena University Hospital - Friedrich Schiller University Jena, Philosophenweg 3, Jena, Germany
| | - Ferdinand Schweser
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology I, Jena University Hospital - Friedrich Schiller University Jena, Philosophenweg 3, Jena, Germany
| | - Benedikt Wiestler
- Department of Neurooncology, University of Heidelberg, INF 400, Heidelberg, Germany
| | - Mario Abello
- Department of Neuroradiology, University of Heidelberg, INF 400, Heidelberg, Germany
| | - Matthias Roethke
- Department of Radiology, German Cancer Research Center (DKFZ), INF 280, Heidelberg, Germany
| | - Felix Sahm
- Department of Neuropathology, University of Heidelberg, INF 220/221, Heidelberg, Germany
| | - Wolfgang Wick
- Department of Neurooncology, University of Heidelberg, INF 400, Heidelberg, Germany
| | - Armin Michael Nagel
- Institute for Medical Physics, German Cancer Research Center (DKFZ), INF 280, Heidelberg, Germany
| | - Sabine Heiland
- Department of Neuroradiology, University of Heidelberg, INF 400, Heidelberg, Germany
| | - Heinz-Peter Schlemmer
- Department of Radiology, German Cancer Research Center (DKFZ), INF 280, Heidelberg, Germany
| | - Martin Bendszus
- Department of Neuroradiology, University of Heidelberg, INF 400, Heidelberg, Germany
| | - Jürgen Rainer Reichenbach
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology I, Jena University Hospital - Friedrich Schiller University Jena, Philosophenweg 3, Jena, Germany
| | - Alexander Radbruch
- Department of Neuroradiology, University of Heidelberg, INF 400, Heidelberg, Germany
- Section Neuro-oncologic Imaging (E 012), German Cancer Research Center, INF 280, Heidelberg, Germany
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Affiliation(s)
- C Ros
- Medical Physics Group, Department of Diagnostic and Interventional Radiology I, Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany
- Pediatric Radiology, Department of Diagnostic and Interventional Radiology I, Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany
| | - D Güllmar
- Medical Physics Group, Department of Diagnostic and Interventional Radiology I, Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany
| | - M Stenze
- Pediatric Radiology, Department of Diagnostic and Interventional Radiology I, Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany
| | - H-J Mentzel
- Pediatric Radiology, Department of Diagnostic and Interventional Radiology I, Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany
| | - J R Reichenbach
- Medical Physics Group, Department of Diagnostic and Interventional Radiology I, Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany
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22
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Schweser F, Deistung A, Sommer K, Reichenbach JR. Toward online reconstruction of quantitative susceptibility maps: superfast dipole inversion. Magn Reson Med 2012; 69:1582-94. [PMID: 22791625 DOI: 10.1002/mrm.24405] [Citation(s) in RCA: 119] [Impact Index Per Article: 9.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2012] [Revised: 06/08/2012] [Accepted: 06/13/2012] [Indexed: 11/08/2022]
Abstract
Magnetic susceptibility is an intrinsic tissue property that recently became measureable in vivo by a magnetic-resonance based technique called quantitative susceptibility mapping (QSM). Although QSM may be performed without additional acquisition time, for example, in the course of the well-established susceptibility weighted imaging, the applicability of QSM is currently hampered by the numerical complexity and computational cost associated with the reconstruction procedure. This work introduces a novel QSM framework called superfast dipole inversion which allows rapid online reconstruction of susceptibility maps from wrapped raw gradient-echo phase data. The algorithm relies on the extension and combination of several recent algorithms involving the precalculation of convolution kernels and the correction of inversion artifacts. Reconstruction of three-dimensional high resolution susceptibility maps of the human brain was achieved with superfast dipole inversion in less than 20 s on a conventional workstation computer. Thus, superfast dipole inversion opens the door to an implementation of QSM on MR scanner hardware as well as to the routine reconstruction of large cohorts of datasets.
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Affiliation(s)
- Ferdinand Schweser
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology I, Jena University Hospital-Friedrich Schiller University Jena, Philosophenweg 3, 07743 Jena, Germany.
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Schweser F, Sommer K, Deistung A, Reichenbach JR. Quantitative susceptibility mapping for investigating subtle susceptibility variations in the human brain. Neuroimage 2012; 62:2083-100. [PMID: 22659482 DOI: 10.1016/j.neuroimage.2012.05.067] [Citation(s) in RCA: 192] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2011] [Revised: 03/26/2012] [Accepted: 05/24/2012] [Indexed: 11/25/2022] Open
Abstract
Quantitative susceptibility mapping (QSM) is a novel magnetic resonance-based technique that determines tissue magnetic susceptibility from measurements of the magnetic field perturbation. Due to the ill-posed nature of this problem, regularization strategies are generally required to reduce streaking artifacts on the computed maps. The present study introduces a new algorithm for calculating the susceptibility distribution utilizing a priori information on its regional homogeneity derived from gradient echo phase images and analyzes the impact of erroneous a priori information on susceptibility map fidelity. The algorithm, Homogeneity Enabled Incremental Dipole Inversion (HEIDI), was investigated with a special focus on the reconstruction of subtle susceptibility variations in a numerical model and in volunteer data and was compared with two recently published approaches, Thresholded K-space Division (TKD) and Morphology Enabled Dipole Inversion (MEDI). HEIDI resulted in susceptibility maps without streaking artifacts and excellent depiction of subtle susceptibility variations in most regions. By investigating HEIDI susceptibility maps acquired with the volunteers' heads in different orientations, it was demonstrated that the apparent magnetic susceptibility distribution of human brain tissue considerably depends on the direction of the main magnetic field.
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Affiliation(s)
- Ferdinand Schweser
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology I, Jena University Hospital-Friedrich Schiller University Jena, Jena, Germany.
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24
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Burmeister HP, Bitter T, Heiler PM, Irintchev A, Fröber R, Dietzel M, Baltzer PA, Reichenbach JR, Gudziol H, Guntinas-Lichius O, Kaiser WA. Analyse der Signalintensitätsprofile des Bulbus olfactorius: Basis für eine Evaluation von neurodegenerativen Erkrankungen und Riechstörungen? Ein Vergleich von 3T-MRT, MR-Mikroskopie, und Histologie. ROFO-FORTSCHR RONTG 2012. [DOI: 10.1055/s-0032-1311345] [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: 10/28/2022]
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25
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Ros C, Güllmar D, Stenzel M, Reichenbach JR, Mentzel HJ. Semi-automatische Extraktion von Faserbündeln aus multiplen MR-DTI Datensätzen. ROFO-FORTSCHR RONTG 2012. [DOI: 10.1055/s-0032-1311424] [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: 10/28/2022]
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26
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Güllmar D, Deistung A, Reichenbach JR. Tracking von CE-MR-Angiographie Daten unter Verwendung etablierter DTI-Ansätze. ROFO-FORTSCHR RONTG 2011. [DOI: 10.1055/s-0031-1279553] [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: 10/18/2022]
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27
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Hiepe P, Herrmann KH, Ros C, Reichenbach JR. Diffusionsgewichtete MR-Bildgebung lumbaler Bandscheiben mittels Inner-Volume-STEAM-Technik. ROFO-FORTSCHR RONTG 2011. [DOI: 10.1055/s-0031-1279563] [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: 10/18/2022]
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28
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Hiepe P, Güllmar D, Herrmann KH, Küpper C, Siebert T, Reichenbach JR. In Vivo Fiber-Tracking der Wadenmuskulatur von Kaninchen basierend auf diffusionsgewichteter STEAM-MR-Bildgebung. ROFO-FORTSCHR RONTG 2011. [DOI: 10.1055/s-0031-1279600] [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: 10/18/2022]
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29
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Sprenger T, Herrmann KH, Jochimsen T, Reichenbach JR. Vergleich einer TSE-Sequenz mit konventioneller Fettsättigung und einer Multiecho-GRASE-Sequenz mit VARPRO-Fett-Wasser-Trennung. ROFO-FORTSCHR RONTG 2011. [DOI: 10.1055/s-0031-1279604] [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: 10/18/2022]
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30
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Schweser F, Deistung A, Lehr BW, Reichenbach JR. SIAMESE-TWINS: Quantitative Kartierung von Eisen und Myelin im menschlichen Gehirn. ROFO-FORTSCHR RONTG 2011. [DOI: 10.1055/s-0031-1279616] [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: 10/18/2022]
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31
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Güllmar D, Bitzer LA, Reichenbach JR. Entwicklung einer templatebasierten, aktiven Schallunterdrückung für MRT-Untersuchungen - Simulationsstudie. ROFO-FORTSCHR RONTG 2011. [DOI: 10.1055/s-0031-1279573] [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: 10/18/2022]
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Ros C, Güllmar D, Reichenbach JR. COMET (Cluster analysis Of Major Equivalent Tracts) - Ein Framework für die Clusteranalyse von Fiber Tracts. ROFO-FORTSCHR RONTG 2011. [DOI: 10.1055/s-0031-1279587] [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: 10/18/2022]
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33
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Herrmann KH, Schmidt S, Metzler M, Krumbein I, Gaser C, Witte OW, Reichenbach JR. Deformationsbasierte Extraktion von globalen und lokalen Volumenänderungen des Rattenhirn am klinischen 3 Tesla MRT. ROFO-FORTSCHR RONTG 2011. [DOI: 10.1055/s-0031-1279612] [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: 10/18/2022]
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Schweser F, Deistung A, Lehr BW, Reichenbach JR. Quantitative imaging of intrinsic magnetic tissue properties using MRI signal phase: an approach to in vivo brain iron metabolism? Neuroimage 2010; 54:2789-807. [PMID: 21040794 DOI: 10.1016/j.neuroimage.2010.10.070] [Citation(s) in RCA: 540] [Impact Index Per Article: 38.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2010] [Revised: 10/05/2010] [Accepted: 10/23/2010] [Indexed: 01/04/2023] Open
Abstract
Quantitative susceptibility mapping (QSM) based on gradient echo (GRE) magnetic resonance phase data is a novel technique for non-invasive assessment of magnetic tissue susceptibility differences. The method is expected to be an important means to determine iron distributions in vivo and may, thus, be instrumental for elucidating the physiological role of iron and disease-related iron concentration changes associated with various neurological and psychiatric disorders. This study introduces a framework for QSM and demonstrates calculation of reproducible and orientation-independent susceptibility maps from GRE data acquired at 3T. The potential of these susceptibility maps to perform anatomical imaging is investigated, as well as the ability to measure the venous blood oxygen saturation level in large vessels, and to assess the local tissue iron concentration. In order to take into account diamagnetic susceptibility contributions induced by myelin, a correction scheme for susceptibility based iron estimation is demonstrated. The findings suggest that susceptibility contrast, and therewith also phase contrast, are not only linked to the storage iron concentration but are also significantly influenced by other sources such as myelin. After myelin correction the linear dependence between magnetic susceptibilities and previously published iron concentrations from post mortem studies was significantly improved. Finally, a comparison between susceptibility maps and processed phase images indicated that caution should be exercised when drawing conclusions about iron concentrations when directly assessing processed phase information.
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Affiliation(s)
- Ferdinand Schweser
- Department of Diagnostic and Interventional Radiology I, Jena University Hospital, Jena, Germany.
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35
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Koch K, Wagner G, Dahnke R, Schachtzabel C, Güllmar D, Reichenbach JR, Schlösser RGM. Structure-function relationships in the context of reinforcement-related learning: a combined diffusion tensor imaging-functional magnetic resonance imaging study. Neuroscience 2010; 168:190-9. [PMID: 20304035 DOI: 10.1016/j.neuroscience.2010.03.026] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.4] [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: 02/01/2010] [Revised: 03/08/2010] [Accepted: 03/12/2010] [Indexed: 11/19/2022]
Abstract
In the context of probabilistic learning, previous functional magnetic resonance imaging studies have shown decreasing uncertainty accompanying decreasing neuronal activation in task-relevant networks. Moreover, initial evidence points to a relationship between white matter structure and cognitive performance. Little is known, however, about the structural correlates underlying individual differences in activation and performance in the context of probabilistic learning. This combined functional magnetic resonance imaging-diffusion tensor imaging study aimed at investigating the individual ability to reduce processing resources with decreasing uncertainty in direct relation to individual characteristics in white matter brain structure. Results showed that more successful learners, as compared with less successful learners, exhibited stronger activation decreases with decreasing uncertainty. An increased mean and axial diffusivity in, among others, the inferior and superior longitudinal fasciculus, the posterior part of the cingulum bundle, and the corpus callosum were detectable in less successful learners compared with more successful learners. Most importantly, there was a negative correlation between uncertainty-related activation and diffusivity in a fronto-parieto-striatal network in less successful learners only, indicating a direct relation between diffusivity and the ability to reduce processing resources with decreasing uncertainty. These findings indicate that interindividual variations in white matter characteristics within the normal population might be linked to neuronal activation and critically influence individual learning performance.
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Affiliation(s)
- K Koch
- Department of Psychiatry and Psychotherapy, Friedrich-Schiller-University Jena, Philosophenweg 3, 07740 Jena, Germany.
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36
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Sedlacik J, Löbel U, Kocak M, Loeffler RB, Reichenbach JR, Broniscer A, Patay Z, Hillenbrand CM. Attenuation of cerebral venous contrast in susceptibility-weighted imaging of spontaneously breathing pediatric patients sedated with propofol. AJNR Am J Neuroradiol 2010; 31:901-6. [PMID: 20053806 DOI: 10.3174/ajnr.a1960] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
BACKGROUND AND PURPOSE SWI is known for its detailed visualization of the cerebral venous system and seems to be a promising tool for early detection of cerebrovascular pathologies in children, who are frequently sedated for MR imaging. Because sedation influences cerebral hemodynamics, we hypothesized that it would affect cerebral venous contrast in SWI. MATERIALS AND METHODS SWI (125 examinations) of 26 patients (age, 2-16 years) was reviewed in this study. Images were acquired of patients sedated with propofol. Reviewers classified the images by weak or strong venous contrast. Physiologic data, such as etCO(2), BP, age, and CBF by arterial spin-labeling, were monitored and collected during MR imaging. A generalized estimating equation approach was used to model associations of these parameters with venous contrast. RESULTS EtCO(2) and CBF were found to correlate with venous contrast, suggesting that patients with high etCO(2) and CBF have weak contrast and patients with low etCO(2) and CBF have strong contrast. BP was also found to correlate with the venous contrast of SWI, suggesting that patients with high BP have strong venous contrast. No significant correlations were found for any other physiologic parameters. CONCLUSIONS We found that the venous contrast in SWI is affected by propofol sedation in spontaneously breathing patients. We also found that low etCO(2), low CBF, and high BP are associated with strong venous contrast. Reviewing SWI data in light of physiologic measures may therefore help prevent potential misinterpretations of weak venous contrast in SWI examinations under propofol sedation.
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Affiliation(s)
- J Sedlacik
- Department of Radiological Sciences, St. Jude Children's Research Hospital, Memphis, Tennessee 38105, USA
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Schlösser R, Koch K, Wagner G, Schultz C, Röbel M, Schachtzabel C, Reichenbach JR, Sauer H. Intensive practice of a cognitive task is associated with enhanced functional integration in schizophrenia. Psychol Med 2009; 39:1809-1819. [PMID: 19379537 DOI: 10.1017/s0033291709005820] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND There is increasing evidence that the frequently reported working memory impairments in schizophrenia might be partly due to an alteration in the functional connectivity between task-relevant areas. However, little is known about the functional connectivity patterns in schizophrenia patients during learning processes. In a previous study, Koch et al. [Neuroscience (2007) 146, 1474-1483] have demonstrated stronger exponential activation decreases in schizophrenia patients during overlearning of short-term memory material. The question arises whether these differential temporal patterns of activation in schizophrenia patients and controls are going along with changes in task-related functional connectivity. METHOD Therefore, in the current study, 13 patients with schizophrenia and 13 controls were studied while performing a short-term memory task associated with increasing overlearning of verbal stimulus material. Functional connectivity was investigated by analyses of psychophysiological interactions (PPI). RESULTS Results revealed significant task-related modulation of functional connectivity between the left dorsolateral prefrontal cortex (DLPFC) and a network including the right DLPFC, left ventrolateral prefrontal cortex, premotor cortex, right inferior parietal cortex, left and right cerebellum as well as the left occipital lobe in patients during the course of overlearning and practice. No significant PPI results were detectable in controls. CONCLUSIONS Activation changes with practice were associated with high functional connectivity between task-relevant areas in schizophrenia patients. This could be interpreted as a compensatory resource allocation and network integration in the context of cortical inefficiency and may be a specific neurophysiological signature underlying the pathophysiology of schizophrenia.
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Affiliation(s)
- R Schlösser
- Department of Psychiatry and Psychotherapy, University of Jena, Jena, Germany.
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38
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Waginger M, Baltzer PA, Kentouche K, Löbel U, Güllmar D, Dietzel M, Gruhn B, Kaiser WA, Beck JF, Reichenbach JR, Mentzel HJ. Diffusion tensor imaging bei Kindern und Jugendlichen vor und nach Stammzelltransplantation. ROFO-FORTSCHR RONTG 2009. [DOI: 10.1055/s-0029-1221264] [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: 10/20/2022]
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39
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Rzanny R, Stutzig N, Gussew A, Kaiser WA, Thorhauer HA, Reichenbach JR. 31P-MR-spektroskopische Untersuchungen des Muskelstoffwechsels an Probanden mit unterschiedlicher Faserverteilung. ROFO-FORTSCHR RONTG 2009. [DOI: 10.1055/s-0029-1221748] [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: 10/20/2022]
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40
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Baltzer PAT, Renz DM, Herrmann KH, Dietzel M, Krumbein I, Gajda M, Camara O, Reichenbach JR, Kaiser WA. Diffusion-weighted imaging (DWI) in MR mammography (MRM): clinical comparison of echo planar imaging (EPI) and half-Fourier single-shot turbo spin echo (HASTE) diffusion techniques. Eur Radiol 2009; 19:1612-20. [PMID: 19288109 DOI: 10.1007/s00330-009-1326-5] [Citation(s) in RCA: 88] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2008] [Revised: 12/09/2008] [Accepted: 12/22/2008] [Indexed: 02/03/2023]
Abstract
Diffusion-weighted imaging (DWI) techniques have shown potential to differentiate between benign and malignant neoplasms. However, the diagnostic significance of using DWI under routine conditions remains unclear. This study investigated the use of echo planar imaging (EPI) and half-Fourier acquired single-shot turbo spin echo (HASTE)-DWI with respect to the three parameters: lesion visibility, apparent diffusion coefficient (ADC) measurements, and size estimation. Following MRM (1.5 T), EPI- and HASTE-DWI were applied in 65 patients. Lesion visibility on DWI was compared with lesion visibility on subtracted contrast-enhanced T1w images (CE-T1w). Statistical tests were applied to diameter, visibility, and ADC value measurements. Seventy-four lesions were identified. ADC value measurements did not differ significantly between the two DWI sequences. The sensitivity and specificity of routine diagnostics (97.4% and 85.7%) were superior to EPI-DWI (87.2% and 82.9%) and HASTE-DWI (76.9% and 88.6%). Selecting only nonmass lesions, DWI did not prove to be of diagnostic value. Lesion demarcation by DWI was significantly lower compared with that by CE-T1w, with EPI-DWI showing the better performance (p < 0.001). No significant differences were found for size measurements between CE-T1w and DWI. Although clearly inferior compared with CE-T1w imaging, both DWI techniques are applicable for lesion assessment and size measurements.
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Affiliation(s)
- P A T Baltzer
- Institute of Diagnostic and Interventional Radiology, Friedrich-Schiller-University Jena, Erlanger Allee 101, 07740, Jena, Germany.
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Axer H, Hüge S, Wilhelm C, Axer M, Kunze A, Reichenbach JR, Freesmeyer M, Kohlhase J, Sauer H, Bär KJ. [Hereditary Alzheimer's disease with amyloid angiopathy caused by amyloid precursor protein locus]. Nervenarzt 2009; 80:62-67. [PMID: 18781290 DOI: 10.1007/s00115-008-2565-4] [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] [Subscribe] [Scholar Register] [Indexed: 05/26/2023]
Abstract
We report a patient with early-onset autosomal dominant dementia. The CSF showed increased levels of tau protein and decreased amyloid beta (ratio 42:40) typical for Alzheimer's disease. Cerebral MRI revealed vascular lesions and white-matter changes around the posterior horns of the ventricles with only moderate atrophy of the brain. Susceptibility-weighted imaging detected multiple small hemorrhagic changes. Gene analysis revealed amyloid precursor protein (APP) locus duplication as the cause of hereditary Alzheimer's dementia. The co-occurrence of CSF changes typical for Alzheimer's disease and MRI findings of cerebral amyloid angiopathy is remarkable, as it is also described for APP locus duplication. In conjunction with a family history suggestive of hereditary dementia, such a constellation should lead to enhanced gene analysis.
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Affiliation(s)
- H Axer
- Klinik für Psychiatrie und Psychotherapie, Friedrich-Schiller-Universität, Jena, Deutschland.
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Schlösser RGM, Wagner G, Koch K, Dahnke R, Reichenbach JR, Sauer H. Fronto-cingulate effective connectivity in major depression: a study with fMRI and dynamic causal modeling. Neuroimage 2008; 43:645-55. [PMID: 18761094 DOI: 10.1016/j.neuroimage.2008.08.002] [Citation(s) in RCA: 121] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2008] [Revised: 07/16/2008] [Accepted: 08/05/2008] [Indexed: 01/11/2023] Open
Abstract
Functional imaging studies are indicating disrupted error monitoring and executive control in a fronto-cingulate network in major depression. However, univariate statistical analyses allow only for a limited assessment of directed neuronal interactions. Therefore, the present study used dynamic causal modeling (DCM) of a fronto-cingulate network to re-analyze the data from a preceding fMRI study in 16 drug-free patients with major depression and 16 healthy controls using the Stroop Color-Word Test (Wagner et al., 2006). In both groups, a significant reciprocal interregional connectivity was found in a cognitive control network including prefrontal cortex (PFC) and dorsal anterior cingulate cortex (ACC). With regard to intrinsic connections we detected a significant difference for dorsal to rostral ACC connectivity between depressive patients and controls in terms of higher connectivity in patients. Additionally, a task by group interaction was observed for the bilinear interaction signaling enhanced task-related input from the dorsal to rostral ACC in subjects with depression. This could be related to the inability of patients to down-regulate rostral ACC activation as observed in the previous univariate analysis. The correlation between interference scores and intrinsic connections from dorsal ACC to dorsolateral PFC (DLPFC) was significant for both groups together, but no significant group differences in correlations could be detected. Thus, the observed relationship between control functions of the dorsal ACC exerted over DLPFC and interference scores appears to be valid in both patients with depression and controls. The findings are consistent with current models of a differential involvement of the fronto-cingulate system in the pathophysiology of major depression.
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Gussew A, Rzanny R, Scholle HC, Kaiser WA, Reichenbach JR. [Quantitation of glutamate in the brain by using MR proton spectroscopy at 1.5 T and 3 T]. ROFO-FORTSCHR RONTG 2008; 180:722-32. [PMID: 18512190 DOI: 10.1055/s-2008-1027422] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
PURPOSE The influence of different magnetic field strengths on the quantification of glutamate was experimentally investigated by means of IN VITRO and IN VIVO (1)H-MR spectroscopic measurements at 1.5 T and 3 T. MATERIALS AND METHODS In vitro (1)H-MR measurements of aqueous solutions of NAA, glutamate, glutamine and GABA were performed on two clinical MR scanners at 1.5 T and 3 T using a single voxel PRESS sequence (TR/TE = 10 000 / 30 ms). IN VITRO brain measurements were also performed at both field strengths using a PRESS 2D- (1)H-CSI-sequence (TR/TE = 5000 / 30 ms) in 6 volunteers. Spectra at 1.5 T and 3 T were compared with respect to the overlap of the single compound spectra and the deviations between estimated and nominally adjusted concentrations. In vivo spectra at both field strengths were compared with respect to SNR (Glu), line width and Cramer-Rao values of the estimated glutamate intensities by using the LCModel. For the thalamus, insular and parietal cortex mean Glu/tCr ratios were estimated and compared between 1.5 T and 3 T as well as with corresponding values in the literature. RESULTS In general, an improved separation of signal maxima was observed in the IN VITRO spectra at 3 T. Except for GABA, all IN VITRO concentrations estimated at 3 T revealed lower deviations from their adjusted nominal concentration compared to 1.5 T: NAA (1.5 T: -5.5 %, 3 T: 0.7 %), glutamate (1.5 T: -18.1 %, 3 T: 12.3 %), glutamine (1.5 T: 44.8 %, 3 T: 9.2 %), GABA (1.5 T: - 24.8 %, 3 T: 33.8 %). The SNR of IN VIVO spectra at 3 T was nearly doubled compared to 1.5 T. The mean number of voxels with %SD (Glu)< 20 was distinctly lower at 1.5 T (53 %) than at 3 T (80 %). Estimated Glu/tCr ratios for thalamus, insular and parietal cortex lay in the upper range of the literature values. CONCLUSION The results indicate that the advantageous distribution of signal maxima at 3 T allows an improved separation of the individual spectra. Both the higher initial magnetization at 3 T and the improved sensitivity of the phased array matrix coil used in the 3 T study result in an increased SNR, which leads to better reliability of the individual detection as well as a more accurate quantification of glutamate.
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Affiliation(s)
- A Gussew
- AG medizinische Physik/Institut für Diagnostische und Interventionelle Radiologie, Friedrich Schiller Universität Jena.
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Koch K, Wagner G, Nenadic I, Schachtzabel C, Schultz C, Roebel M, Reichenbach JR, Sauer H, Schlösser RGM. Fronto-striatal hypoactivation during correct information retrieval in patients with schizophrenia: an fMRI study. Neuroscience 2008; 153:54-62. [PMID: 18359576 DOI: 10.1016/j.neuroscience.2008.01.063] [Citation(s) in RCA: 45] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2007] [Revised: 12/14/2007] [Accepted: 01/23/2008] [Indexed: 10/22/2022]
Abstract
Working memory (WM) deficits are core symptoms of schizophrenia. Differing behavioral performance is known to represent a potent moderating variable when investigating the neural correlates of working memory in patients with schizophrenia compared with healthy controls. The present functional magnetic resonance imaging study examined performance-matched cerebral activity during correct WM retrieval by balancing the mean number of correct responses as well as the mean response times between patients and controls and analyzing remaining correct trials. Forty-one schizophrenia patients and 41 healthy controls performed an event-related Sternberg task allowing for analysis of correctly remembered trials. Correct retrieval was associated with activation in a bilateral fronto-parieto-occipital network comprising mainly the dorsolateral prefrontal cortex, ventrolateral prefrontal cortex and superior parietal cortex in controls and, to a weaker degree, in patients. Direct group comparison revealed significantly decreased activations in patients in the posterior (Brodmann area (BA) 31) and anterior (BA 32) cingulate cortex (ACC) and the medial caudate bilaterally when matching for performance. When matching for performance and response speed there was additional hypoactivation in the insula. Mean response times were negatively correlated with cingulate and caudate activation only in controls. Present findings suggest that during efficient WM retrieval processing patients exhibit only slightly impaired activation in a task-specific network containing mainly prefrontal and superior parietal areas. However, hypoactivation of areas predominantly responsible for cognitive control and response execution seems to remain even under performance-matched conditions. Given the relevant role of the caudate and the ACC in dopaminergically mediated executive processing, the results bear crucial implications for the psychopathology of schizophrenia.
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Affiliation(s)
- K Koch
- Department of Psychiatry and Psychotherapy, Friedrich-Schiller-University Jena, Philosophenweg 3, 07740 Jena, Germany.
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Rzanny R, Graßme R, Reichenbach JR, Gussew A, Kaiser WA, Scholle HC. 31P-MR-spektroskopische Untersuchungen zur Ermüdung des Rückenmuskels bei abgestufter isometrischer Belastung. ROFO-FORTSCHR RONTG 2008. [DOI: 10.1055/s-2008-1074001] [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: 10/21/2022]
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46
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Baltzer PA, Rzanny R, Renz DM, Reichenbach JR, Kaiser WA. Anwendung der in vivo MR-Protonenpektroskopie (1H-MRS) in der MR-Mammographie (MRM) bei 1,5T. ROFO-FORTSCHR RONTG 2008. [DOI: 10.1055/s-2008-1073830] [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: 10/21/2022]
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47
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Renz DM, Baltzer PA, Böttcher J, Grässel D, Dietzel M, Preisser A, Reichenbach JR, Kaiser WA. Evaluation der Diffusionsbildgebung zur Bestimmung des Lymphknotenstatus von Patientinnen mit einem invasiven Mammakarzinom. ROFO-FORTSCHR RONTG 2008. [DOI: 10.1055/s-2008-1073992] [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: 10/21/2022]
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48
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Schmidt P, Gussew A, Rzanny R, Reichenbach JR, Kaiser WA. MR-spektroskopische Evaluierung der zentralen Nozeption von Männern und Frauen. ROFO-FORTSCHR RONTG 2008. [DOI: 10.1055/s-2008-1074009] [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: 10/21/2022]
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Gussew A, Rzanny R, Schmidt P, Scholle HC, Kaiser WA, Reichenbach JR. Zeitaufgelöste 1H-MR-spektroskopische Untersuchungen des kortikalen Glutamatstoffwechsels bei akutem Schmerzreiz durch Hitzestimulation. ROFO-FORTSCHR RONTG 2008. [DOI: 10.1055/s-2008-1074004] [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: 10/21/2022]
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Schmidt P, Renz DM, Deistung A, Mentzel HJ, Reichenbach JR, Kaiser WA. Zerebrale suszeptibilitätsgewichtete MR-Bildgebung (SWI): charakteristische Bildeigenschaften typischer cerebraler Läsionen. ROFO-FORTSCHR RONTG 2008. [DOI: 10.1055/s-2008-1074064] [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: 10/21/2022]
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