251
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Cronin MJ, Wang N, Decker KS, Wei H, Zhu WZ, Liu C. Exploring the origins of echo-time-dependent quantitative susceptibility mapping (QSM) measurements in healthy tissue and cerebral microbleeds. Neuroimage 2017; 149:98-113. [PMID: 28126551 DOI: 10.1016/j.neuroimage.2017.01.053] [Citation(s) in RCA: 59] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2016] [Revised: 01/19/2017] [Accepted: 01/22/2017] [Indexed: 12/20/2022] Open
Abstract
Quantitative susceptibility mapping (QSM) is increasingly used to measure variation in tissue composition both in the brain and in other areas of the body in a range of disease pathologies. Although QSM measurements were originally believed to be independent of the echo time (TE) used in the gradient-recalled echo (GRE) acquisition from which they are derived; recent literature (Sood et al., 2016) has shown that these measurements can be highly TE-dependent in a number of brain regions. In this work we systematically investigate possible causes of this effect through analysis of apparent frequency and QSM measurements derived from data acquired at multiple TEs in vivo in healthy brain regions and in cerebral microbleeds (CMBs); QSM data acquired in a gadolinium-doped phantom; and in QSM data derived from idealized simulated phase data. Apparent frequency measurements in the optic radiations (OR) and central corpus callosum (CC) were compared to those predicted by a 3-pool white matter model, however the model failed to fully explain contrasting frequency profiles measured in the OR and CC. Our results show that TE-dependent QSM measurements can be caused by a failure of phase unwrapping algorithms in and around strong susceptibility sources such as CMBs; however, in healthy brain regions this behavior appears to result from intrinsic non-linear phase evolution in the MR signal. From these results we conclude that care must be taken when deriving frequency and QSM measurements in strong susceptibility sources due to the inherent limitations in phase unwrapping; and that while signal compartmentalization due to tissue microstructure and content is a plausible cause of TE-dependent frequency and QSM measurements in healthy brain regions, better sampling of the MR signal and more complex models of tissue are needed to fully exploit this relationship.
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Affiliation(s)
- Matthew J Cronin
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA 94720, USA; Brain Imaging and Analysis Center, Duke University, Durham, NC 27710, USA
| | - Nian Wang
- Brain Imaging and Analysis Center, Duke University, Durham, NC 27710, USA
| | - Kyle S Decker
- Brain Imaging and Analysis Center, Duke University, Durham, NC 27710, USA
| | - Hongjiang Wei
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA 94720, USA; Brain Imaging and Analysis Center, Duke University, Durham, NC 27710, USA
| | - Wen-Zhen Zhu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chunlei Liu
- Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA 94720, USA; Brain Imaging and Analysis Center, Duke University, Durham, NC 27710, USA.
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252
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Turner R, De Haan D. Bridging the gap between system and cell: The role of ultra-high field MRI in human neuroscience. PROGRESS IN BRAIN RESEARCH 2017; 233:179-220. [DOI: 10.1016/bs.pbr.2017.05.005] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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253
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Park J, Lee J, Park JY, Lee SK. Nuclear paramagnetism-induced MR frequency shift and its implications for MR-based magnetic susceptibility measurement. Magn Reson Med 2016; 77:848-854. [PMID: 28019024 DOI: 10.1002/mrm.26570] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2016] [Revised: 10/20/2016] [Accepted: 11/15/2016] [Indexed: 11/05/2022]
Abstract
PURPOSE To investigate the 1 H spin contribution (0.004 parts per million (ppm)) to the water magnetic susceptibility and discuss its implications for high-precision phase mapping and tissue susceptibility measurement. METHODS Free induction decay (FID) signals were acquired at 3 Tesla (T) and 9.4T from thin square phantoms at a range of tip angles. The FID frequency shift was examined at a high resolution ( < 0.01 Hz) for different phantom orientations relative to the main magnetic field (B0 ). B0 maps on an axial and a coronal slice of a spherical phantom were obtained at 3T to examine the tip angle and orientation dependence at the 0.001 ppm level. RESULTS A frequency shift of about 0.3 Hz was observed between tip angles of 10 ° and 90 ° when the thin phantom was normal to B0 at 3T, whereas the shift changed sign and was halved in magnitude when the phantom's face was parallel to B0 . At 9.4T, the effect size increased proportionately. The orientation-dependent frequency shift was also observed in the B0 map experiment. These observations agree with theoretical frequency shift due to longitudinal 1 H spin polarization. CONCLUSION Magnetic susceptibility contribution from the nuclear paramagnetism should be taken into account in the interpretation of high-precision phase and susceptibility mapping in MRI. Magn Reson Med 77:848-854, 2017. © 2016 International Society for Magnetic Resonance in Medicine.
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Affiliation(s)
- Jinil Park
- Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon, Republic of Korea.,Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Republic of Korea
| | - Jeongtaek Lee
- Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon, Republic of Korea.,Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Republic of Korea
| | - Jang-Yeon Park
- Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon, Republic of Korea.,Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Republic of Korea
| | - Seung-Kyun Lee
- Center for Neuroscience Imaging Research, Institute for Basic Science (IBS), Suwon, Republic of Korea.,Department of Biomedical Engineering, Sungkyunkwan University, Suwon, Republic of Korea
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254
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Trujillo P, Summers PE, Ferrari E, Zucca FA, Sturini M, Mainardi LT, Cerutti S, Smith AK, Smith SA, Zecca L, Costa A. Contrast mechanisms associated with neuromelanin-MRI. Magn Reson Med 2016; 78:1790-1800. [DOI: 10.1002/mrm.26584] [Citation(s) in RCA: 77] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2016] [Revised: 10/28/2016] [Accepted: 11/23/2016] [Indexed: 01/03/2023]
Affiliation(s)
- Paula Trujillo
- Department of Neuroradiology; Fondazione IRCCS Ca' Granda - Ospedale Maggiore Policlinico; Milan Italy
- Department of Electronics; Information and Bioengineering, Politecnico di Milano; Milan Italy
| | - Paul E. Summers
- Department of Neuroradiology; Fondazione IRCCS Ca' Granda - Ospedale Maggiore Policlinico; Milan Italy
| | - Emanuele Ferrari
- Institute of Biomedical Technologies; National Research Council of Italy; Segrate Italy
| | - Fabio A. Zucca
- Institute of Biomedical Technologies; National Research Council of Italy; Segrate Italy
| | | | - Luca T. Mainardi
- Department of Electronics; Information and Bioengineering, Politecnico di Milano; Milan Italy
| | - Sergio Cerutti
- Department of Electronics; Information and Bioengineering, Politecnico di Milano; Milan Italy
| | - Alex K. Smith
- Vanderbilt University Institute of Imaging Science; Vanderbilt University; Nashville Tennessee USA
- Department of Biomedical Engineering; Vanderbilt University; Nashville Tennessee USA
| | - Seth A. Smith
- Vanderbilt University Institute of Imaging Science; Vanderbilt University; Nashville Tennessee USA
- Department of Biomedical Engineering; Vanderbilt University; Nashville Tennessee USA
- Department of Radiology and Radiological Sciences; Vanderbilt University; Nashville Tennessee USA
| | - Luigi Zecca
- Institute of Biomedical Technologies; National Research Council of Italy; Segrate Italy
| | - Antonella Costa
- Department of Neuroradiology; Fondazione IRCCS Ca' Granda - Ospedale Maggiore Policlinico; Milan Italy
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255
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Bastiani M, Oros-Peusquens AM, Seehaus A, Brenner D, Möllenhoff K, Celik A, Felder J, Bratzke H, Shah NJ, Galuske R, Goebel R, Roebroeck A. Automatic Segmentation of Human Cortical Layer-Complexes and Architectural Areas Using Ex vivo Diffusion MRI and Its Validation. Front Neurosci 2016; 10:487. [PMID: 27891069 PMCID: PMC5102896 DOI: 10.3389/fnins.2016.00487] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2016] [Accepted: 10/11/2016] [Indexed: 11/14/2022] Open
Abstract
Recently, several magnetic resonance imaging contrast mechanisms have been shown to distinguish cortical substructure corresponding to selected cortical layers. Here, we investigate cortical layer and area differentiation by automatized unsupervised clustering of high-resolution diffusion MRI data. Several groups of adjacent layers could be distinguished in human primary motor and premotor cortex. We then used the signature of diffusion MRI signals along cortical depth as a criterion to detect area boundaries and find borders at which the signature changes abruptly. We validate our clustering results by histological analysis of the same tissue. These results confirm earlier studies which show that diffusion MRI can probe layer-specific intracortical fiber organization and, moreover, suggests that it contains enough information to automatically classify architecturally distinct cortical areas. We discuss the strengths and weaknesses of the automatic clustering approach and its appeal for MR-based cortical histology.
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Affiliation(s)
- Matteo Bastiani
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht UniversityMaastricht, Netherlands; Research Centre Jülich, Institute of Neuroscience and Medicine (INM-4)Jülich, Germany
| | | | - Arne Seehaus
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht UniversityMaastricht, Netherlands; Department of Biology, TU DarmstadtDarmstadt, Germany
| | - Daniel Brenner
- Research Centre Jülich, Institute of Neuroscience and Medicine (INM-4) Jülich, Germany
| | - Klaus Möllenhoff
- Research Centre Jülich, Institute of Neuroscience and Medicine (INM-4) Jülich, Germany
| | - Avdo Celik
- Research Centre Jülich, Institute of Neuroscience and Medicine (INM-4) Jülich, Germany
| | - Jörg Felder
- Research Centre Jülich, Institute of Neuroscience and Medicine (INM-4) Jülich, Germany
| | - Hansjürgen Bratzke
- Department of Forensic Medicine, Faculty of Medicine, Goethe University Frankfurt Frankfurt, Germany
| | - Nadim J Shah
- Research Centre Jülich, Institute of Neuroscience and Medicine (INM-4)Jülich, Germany; Department of Neurology, Faculty of Medicine, Jülich Aachen Research Alliance, RWTH Aachen UniversityAachen, Germany
| | - Ralf Galuske
- Department of Biology, TU Darmstadt Darmstadt, Germany
| | - Rainer Goebel
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht UniversityMaastricht, Netherlands; Department of Neuroimaging and Neuromodeling, Netherlands Institute for Neuroscience - KNAWAmsterdam, Netherlands
| | - Alard Roebroeck
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University Maastricht, Netherlands
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256
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van Bergen JMG, Li X, Hua J, Schreiner SJ, Steininger SC, Quevenco FC, Wyss M, Gietl AF, Treyer V, Leh SE, Buck F, Nitsch RM, Pruessmann KP, van Zijl PCM, Hock C, Unschuld PG. Colocalization of cerebral iron with Amyloid beta in Mild Cognitive Impairment. Sci Rep 2016; 6:35514. [PMID: 27748454 PMCID: PMC5066274 DOI: 10.1038/srep35514] [Citation(s) in RCA: 131] [Impact Index Per Article: 16.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2016] [Accepted: 09/26/2016] [Indexed: 01/21/2023] Open
Abstract
Quantitative Susceptibility Mapping (QSM) MRI at 7 Tesla and 11-Carbon Pittsburgh-Compound-B PET were used for investigating the relationship between brain iron and Amyloid beta (Aβ) plaque-load in a context of increased risk for Alzheimer's disease (AD), as reflected by the Apolipoprotein E ε4 (APOE-e4) allele and mild cognitive impairment (MCI) in elderly subjects. Carriers of APOE-e4 with normal cognition had higher cortical Aβ-plaque-load than non-carriers. In MCI an association between APOE-e4 and higher Aβ-plaque-load was observable both for cortical and subcortical brain-regions. APOE-e4 and MCI was also associated with higher cortical iron. Moreover, cerebral iron significantly affected functional coupling, and was furthermore associated with increased Aβ-plaque-load (R2-adjusted = 0.80, p < 0.001) and APOE-e4 carrier status (p < 0.001) in MCI. This study confirms earlier reports on an association between increased brain iron-burden and risk for neurocognitive dysfunction due to AD, and indicates that disease-progression is conferred by spatial colocalization of brain iron deposits with Aβ-plaques.
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Affiliation(s)
- J M G van Bergen
- Institute for Regenerative Medicine, University of Zürich, Switzerland
| | - X Li
- The Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.,F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA
| | - J Hua
- The Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.,F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA
| | - S J Schreiner
- Institute for Regenerative Medicine, University of Zürich, Switzerland.,Hospital for Psychogeriatric Medicine, University of Zürich, Switzerland
| | - S C Steininger
- Institute for Regenerative Medicine, University of Zürich, Switzerland.,Hospital for Psychogeriatric Medicine, University of Zürich, Switzerland
| | - F C Quevenco
- Institute for Regenerative Medicine, University of Zürich, Switzerland
| | - M Wyss
- Institute for Biomedical Engineering, University of Zürich and ETH Zürich, Zürich, Switzerland
| | - A F Gietl
- Institute for Regenerative Medicine, University of Zürich, Switzerland.,Hospital for Psychogeriatric Medicine, University of Zürich, Switzerland
| | - V Treyer
- Institute for Regenerative Medicine, University of Zürich, Switzerland.,Department of Nuclear Medicine, University Hospital Zürich and University of Zürich, Zürich, Switzerland
| | - S E Leh
- Institute for Regenerative Medicine, University of Zürich, Switzerland.,Hospital for Psychogeriatric Medicine, University of Zürich, Switzerland
| | - F Buck
- Department of Nuclear Medicine, University Hospital Zürich and University of Zürich, Zürich, Switzerland
| | - R M Nitsch
- Institute for Regenerative Medicine, University of Zürich, Switzerland.,Hospital for Psychogeriatric Medicine, University of Zürich, Switzerland
| | - K P Pruessmann
- Institute for Biomedical Engineering, University of Zürich and ETH Zürich, Zürich, Switzerland
| | - P C M van Zijl
- The Russell H. Morgan Department of Radiology and Radiological Science, Division of MR Research, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.,F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA
| | - C Hock
- Institute for Regenerative Medicine, University of Zürich, Switzerland
| | - P G Unschuld
- Institute for Regenerative Medicine, University of Zürich, Switzerland.,Hospital for Psychogeriatric Medicine, University of Zürich, Switzerland
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257
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Turner R. Uses, misuses, new uses and fundamental limitations of magnetic resonance imaging in cognitive science. Philos Trans R Soc Lond B Biol Sci 2016; 371:20150349. [PMID: 27574303 PMCID: PMC5003851 DOI: 10.1098/rstb.2015.0349] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/24/2016] [Indexed: 11/29/2022] Open
Abstract
When blood oxygenation level-dependent (BOLD) contrast functional magnetic resonance imaging (fMRI) was discovered in the early 1990s, it provoked an explosion of interest in exploring human cognition, using brain mapping techniques based on MRI. Standards for data acquisition and analysis were rapidly put in place, in order to assist comparison of results across laboratories. Recently, MRI data acquisition capabilities have improved dramatically, inviting a rethink of strategies for relating functional brain activity at the systems level with its neuronal substrates and functional connections. This paper reviews the established capabilities of BOLD contrast fMRI, the perceived weaknesses of major methods of analysis, and current results that may provide insights into improved brain modelling. These results have inspired the use of in vivo myeloarchitecture for localizing brain activity, individual subject analysis without spatial smoothing and mapping of changes in cerebral blood volume instead of BOLD activation changes. The apparent fundamental limitations of all methods based on nuclear magnetic resonance are also discussed.This article is part of the themed issue 'Interpreting BOLD: a dialogue between cognitive and cellular neuroscience'.
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Affiliation(s)
- Robert Turner
- Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstraße 1A, 04103 Leipzig, Germany
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258
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Buijs M, Doan NT, van Rooden S, Versluis MJ, van Lew B, Milles J, van der Grond J, van Buchem MA. In vivo assessment of iron content of the cerebral cortex in healthy aging using 7-Tesla T2*-weighted phase imaging. Neurobiol Aging 2016; 53:20-26. [PMID: 28199888 DOI: 10.1016/j.neurobiolaging.2016.09.005] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2015] [Revised: 09/06/2016] [Accepted: 09/08/2016] [Indexed: 01/18/2023]
Abstract
Accumulation of brain iron has been suggested as a biomarker of neurodegeneration. Increased iron has been seen in the cerebral cortex in postmortem studies of neurodegenerative diseases and healthy aging. Until recently, the diminutive thickness of the cortex and its relatively low iron content have hampered in vivo study of cortical iron accumulation. Using phase images of a T2*-weighted sequence at ultrahigh field strength (7 Tesla), we examined the iron content of 22 cortical regions in 70 healthy subjects aged 22-80 years. The cortex was automatically segmented and parcellated, and phase shift was analyzed using an in-house developed method. We found a significant increase in phase shift with age in 20 of 22 cortical regions, concurrent with current understanding of cortical iron accumulation. Our findings suggest that increased cortical iron content can be assessed in healthy aging in vivo. The high spatial resolution and sensitivity to iron of our method make it a potentially useful tool for studying cortical iron accumulation in healthy aging and neurodegenerative diseases.
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Affiliation(s)
- Mathijs Buijs
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands; C.J. Gorter Center for High-field MRI, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands.
| | - Nhat Trung Doan
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands; Division of Image Processing (LKEB), Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Sanneke van Rooden
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands; C.J. Gorter Center for High-field MRI, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Maarten J Versluis
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands; C.J. Gorter Center for High-field MRI, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Baldur van Lew
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands; Division of Image Processing (LKEB), Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Julien Milles
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands; Division of Image Processing (LKEB), Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Jeroen van der Grond
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Mark A van Buchem
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands; C.J. Gorter Center for High-field MRI, Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
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259
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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: 159] [Impact Index Per Article: 19.9] [Reference Citation Analysis] [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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260
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van der Zwaag W, Schäfer A, Marques JP, Turner R, Trampel R. Recent applications of UHF-MRI in the study of human brain function and structure: a review. NMR IN BIOMEDICINE 2016; 29:1274-1288. [PMID: 25762497 DOI: 10.1002/nbm.3275] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/01/2014] [Revised: 12/19/2014] [Accepted: 01/22/2015] [Indexed: 06/04/2023]
Abstract
The increased availability of ultra-high-field (UHF) MRI has led to its application in a wide range of neuroimaging studies, which are showing promise in transforming fundamental approaches to human neuroscience. This review presents recent work on structural and functional brain imaging, at 7 T and higher field strengths. After a short outline of the effects of high field strength on MR images, the rapidly expanding literature on UHF applications of blood-oxygenation-level-dependent-based functional MRI is reviewed. Structural imaging is then discussed, divided into sections on imaging weighted by relaxation time, including quantitative relaxation time mapping, phase imaging and quantitative susceptibility mapping, angiography, diffusion-weighted imaging, and finally magnetization-transfer imaging. The final section discusses studies using the high spatial resolution available at UHF to identify explicit links between structure and function. Copyright © 2015 John Wiley & Sons, Ltd.
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Affiliation(s)
- Wietske van der Zwaag
- Centre d'Imagerie Biomédicale, Ecole Polytechnique Fédérale de Lausanne, Switzerland
| | - Andreas Schäfer
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
| | - José P Marques
- Centre d'Imagerie Biomédicale, Ecole Polytechnique Fédérale de Lausanne, Switzerland
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands
| | - Robert Turner
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
- Spinoza Centre, University of Amsterdam, The Netherlands
- SPMMRC, School of Physics and Astronomy, University of Nottingham, UK
| | - Robert Trampel
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
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261
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Setsompop K, Feinberg DA, Polimeni JR. Rapid brain MRI acquisition techniques at ultra-high fields. NMR IN BIOMEDICINE 2016; 29:1198-221. [PMID: 26835884 PMCID: PMC5245168 DOI: 10.1002/nbm.3478] [Citation(s) in RCA: 78] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2014] [Revised: 11/28/2015] [Accepted: 12/02/2015] [Indexed: 05/04/2023]
Abstract
Ultra-high-field MRI provides large increases in signal-to-noise ratio (SNR) as well as enhancement of several contrast mechanisms in both structural and functional imaging. Combined, these gains result in a substantial boost in contrast-to-noise ratio that can be exploited for higher-spatial-resolution imaging to extract finer-scale information about the brain. With increased spatial resolution, however, there is a concurrent increased image-encoding burden that can cause unacceptably long scan times for structural imaging and slow temporal sampling of the hemodynamic response in functional MRI - particularly when whole-brain imaging is desired. To address this issue, new directions of imaging technology development - such as the move from conventional 2D slice-by-slice imaging to more efficient simultaneous multislice (SMS) or multiband imaging (which can be viewed as "pseudo-3D" encoding) as well as full 3D imaging - have provided dramatic improvements in acquisition speed. Such imaging paradigms provide higher SNR efficiency as well as improved encoding efficiency. Moreover, SMS and 3D imaging can make better use of coil sensitivity information in multichannel receiver arrays used for parallel imaging acquisitions through controlled aliasing in multiple spatial directions. This has enabled unprecedented acceleration factors of an order of magnitude or higher in these imaging acquisition schemes, with low image artifact levels and high SNR. Here we review the latest developments of SMS and 3D imaging methods and related technologies at ultra-high field for rapid high-resolution functional and structural imaging of the brain. Copyright © 2016 John Wiley & Sons, Ltd.
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Affiliation(s)
- Kawin Setsompop
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
- Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - David A. Feinberg
- Helen Wills Institute for Neuroscience, University of California, Berkeley, CA, USA
- Advanced MRI Technologies, Sebastopol, CA, USA
| | - Jonathan R. Polimeni
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
- Department of Radiology, Harvard Medical School, Boston, MA, USA
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262
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Niendorf T, Paul K, Oezerdem C, Graessl A, Klix S, Huelnhagen T, Hezel F, Rieger J, Waiczies H, Frahm J, Nagel AM, Oberacker E, Winter L. W(h)ither human cardiac and body magnetic resonance at ultrahigh fields? technical advances, practical considerations, applications, and clinical opportunities. NMR IN BIOMEDICINE 2016; 29:1173-97. [PMID: 25706103 DOI: 10.1002/nbm.3268] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/06/2014] [Revised: 12/26/2014] [Accepted: 01/13/2015] [Indexed: 05/12/2023]
Abstract
The objective of this study was to document and review advances and groundbreaking progress in cardiac and body MR at ultrahigh fields (UHF, B0 ≥ 7.0 T) with the goal to attract talent, clinical adopters, collaborations and resources to the biomedical and diagnostic imaging communities. This review surveys traits, advantages and challenges of cardiac and body MR at 7.0 T. The considerations run the gamut from technical advances to clinical opportunities. Key concepts, emerging technologies, practical considerations, frontier applications and future directions of UHF body and cardiac MR are provided. Examples of UHF cardiac and body imaging strategies are demonstrated. Their added value over the kindred counterparts at lower fields is explored along with an outline of research promises. The achievements of cardiac and body UHF-MR are powerful motivators and enablers, since extra speed, signal and imaging capabilities may be invested to overcome the fundamental constraints that continue to hamper traditional cardiac and body MR applications. If practical obstacles, concomitant physics effects and technical impediments can be overcome in equal measure, sophisticated cardiac and body UHF-MR will help to open the door to new MRI and MRS approaches for basic research and clinical science, with the lessons learned at 7.0 T being transferred into broad clinical use including diagnostics and therapy guiding at lower fields. Copyright © 2015 John Wiley & Sons, Ltd.
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Affiliation(s)
- Thoralf Niendorf
- Berlin Ultrahigh Field Facility (BUFF), Max-Delbrueck Center for Molecular Medicine, Berlin, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site, Berlin, Germany
| | - Katharina Paul
- Berlin Ultrahigh Field Facility (BUFF), Max-Delbrueck Center for Molecular Medicine, Berlin, Germany
| | - Celal Oezerdem
- Berlin Ultrahigh Field Facility (BUFF), Max-Delbrueck Center for Molecular Medicine, Berlin, Germany
| | - Andreas Graessl
- Berlin Ultrahigh Field Facility (BUFF), Max-Delbrueck Center for Molecular Medicine, Berlin, Germany
| | - Sabrina Klix
- Berlin Ultrahigh Field Facility (BUFF), Max-Delbrueck Center for Molecular Medicine, Berlin, Germany
| | - Till Huelnhagen
- Berlin Ultrahigh Field Facility (BUFF), Max-Delbrueck Center for Molecular Medicine, Berlin, Germany
| | - Fabian Hezel
- Berlin Ultrahigh Field Facility (BUFF), Max-Delbrueck Center for Molecular Medicine, Berlin, Germany
| | | | | | - Jens Frahm
- Biomedizinische NMR Forschungs GmbH, am Max-Planck-Institut für biophysikalische Chemie, Göttingen, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site, Göttingen, Germany
| | - Armin M Nagel
- Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Eva Oberacker
- Berlin Ultrahigh Field Facility (BUFF), Max-Delbrueck Center for Molecular Medicine, Berlin, Germany
| | - Lukas Winter
- Berlin Ultrahigh Field Facility (BUFF), Max-Delbrueck Center for Molecular Medicine, Berlin, Germany
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263
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Grolez G, Moreau C, Danel-Brunaud V, Delmaire C, Lopes R, Pradat PF, El Mendili MM, Defebvre L, Devos D. The value of magnetic resonance imaging as a biomarker for amyotrophic lateral sclerosis: a systematic review. BMC Neurol 2016; 16:155. [PMID: 27567641 PMCID: PMC5002331 DOI: 10.1186/s12883-016-0672-6] [Citation(s) in RCA: 52] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2016] [Accepted: 08/10/2016] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Amyotrophic lateral sclerosis (ALS) is a fatal, rapidly progressive neurodegenerative disease that mainly affects the motor system. A number of potentially neuroprotective and neurorestorative disease-modifying drugs are currently in clinical development. At present, the evaluation of a drug's clinical efficacy in ALS is based on the ALS Functional Rating Scale Revised, motor tests and survival. However, these endpoints are general, variable and late-stage measures of the ALS disease process and thus require the long-term assessment of large cohorts. Hence, there is a need for more sensitive radiological biomarkers. Various sequences for magnetic resonance imaging (MRI) of the brain and spinal cord have may have value as surrogate biomarkers for use in future clinical trials. Here, we review the MRI findings in ALS, their clinical correlations, and their limitations and potential role as biomarkers. METHODS The PubMed database was screened to identify studies using MRI in ALS. We included general MRI studies with a control group and an ALS group and longitudinal studies even if a control group was lacking. RESULTS A total of 116 studies were analysed with MRI data and clinical correlations. The most disease-sensitive MRI patterns are in motor regions but the brain is more broadly affected. CONCLUSION Despite the existing MRI biomarkers, there is a need for large cohorts with long term MRI and clinical follow-up. MRI assessment could be improved by standardized MRI protocols with multicentre studies.
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Affiliation(s)
- G. Grolez
- Department of Movement Disorders and Neurology, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
- INSERM U1171, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
| | - C. Moreau
- Department of Movement Disorders and Neurology, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
- INSERM U1171, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
| | - V. Danel-Brunaud
- Department of Movement Disorders and Neurology, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
- INSERM U1171, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
| | - C. Delmaire
- INSERM U1171, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
- Department of Neuroradiology, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
| | - R. Lopes
- INSERM U1171, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
- Department of Neuroradiology, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
| | - P. F. Pradat
- Laboratoire d’Imagerie Biomédicale, Sorbonne Universités, UPMC Univ Paris 06, CNRS, INSERM, Paris, France
- Département des Maladies du Système Nerveux, Groupe Hospitalier Pitié-Salpêtrière, APHP, Paris, France
| | - M. M. El Mendili
- Laboratoire d’Imagerie Biomédicale, Sorbonne Universités, UPMC Univ Paris 06, CNRS, INSERM, Paris, France
| | - L. Defebvre
- Department of Movement Disorders and Neurology, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
- INSERM U1171, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
| | - D. Devos
- Department of Movement Disorders and Neurology, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
- INSERM U1171, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
- Department of Medical Pharmacology, Lille University Hospital, Faculty of Medicine, University of Lille, Lille, France
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264
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Straub S, Schneider TM, Emmerich J, Freitag MT, Ziener CH, Schlemmer HP, Ladd ME, Laun FB. Suitable reference tissues for quantitative susceptibility mapping of the brain. Magn Reson Med 2016; 78:204-214. [DOI: 10.1002/mrm.26369] [Citation(s) in RCA: 67] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2016] [Revised: 06/24/2016] [Accepted: 07/13/2016] [Indexed: 01/22/2023]
Affiliation(s)
- Sina Straub
- Department of Medical Physics in Radiology; German Cancer Research Center (DKFZ); Heidelberg Germany
| | - Till M. Schneider
- Department of Neuroradiology; University of Heidelberg; Heidelberg Germany
- Department of Radiology; German Cancer Research Center (DKFZ); Heidelberg Germany
| | - Julian Emmerich
- Department of Medical Physics in Radiology; German Cancer Research Center (DKFZ); Heidelberg Germany
| | - Martin T. Freitag
- Department of Radiology; German Cancer Research Center (DKFZ); Heidelberg Germany
| | - Christian H. Ziener
- Department of Radiology; German Cancer Research Center (DKFZ); Heidelberg Germany
| | | | - Mark E. Ladd
- Department of Medical Physics in Radiology; German Cancer Research Center (DKFZ); Heidelberg Germany
| | - Frederik B. Laun
- Department of Medical Physics in Radiology; German Cancer Research Center (DKFZ); Heidelberg Germany
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265
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Peckham ME, Dashtipour K, Holshouser BA, Kani C, Boscanin A, Kani K, Harder SL. Novel Pattern of Iron Deposition in the Fascicula Nigrale in Patients with Parkinson's Disease: A Pilot Study. Radiol Res Pract 2016; 2016:9305018. [PMID: 27471601 PMCID: PMC4947660 DOI: 10.1155/2016/9305018] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2016] [Revised: 05/31/2016] [Accepted: 05/31/2016] [Indexed: 12/30/2022] Open
Abstract
Background and Purpose. To determine whether the pattern of iron deposition in the fascicula nigrale in patients with Parkinson's disease would be different from age-matched controls by utilizing quantitative susceptibility mapping to measure susceptibility change. Methods. MRIs of the brain were obtained from 34 subjects, 18 with Parkinson's disease and 16 age- and gender-matched controls. Regions of interest were drawn around the fascicula nigrale and substantia nigra using SWI mapping software by blinded investigators. Statistical analyses were performed to determine susceptibility patterns of both of these regions. Results. Measurements showed significantly increased susceptibility in the substantia nigra in Parkinson's patients and an increased rostral-caudal deposition of iron in the fascicula nigrale in all subjects. This trend was exaggerated with significant correlation noted with increasing age in the Parkinson group. Conclusion. The pattern of an exaggerated iron deposition gradient of the fascicula nigrale in the Parkinson group could represent underlying tract dysfunction. Significant correlation of increasing iron deposition with increasing age may be a cumulative effect, possibly related to disease duration.
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Affiliation(s)
- Miriam E. Peckham
- Department of Radiology, School of Medicine, Loma Linda University, 11234 Anderson Street, Loma Linda, CA 92354, USA
| | - Khashayar Dashtipour
- Department of Neurology, School of Medicine, Loma Linda University, 11234 Anderson Street, Loma Linda, CA 92354, USA
| | - Barbara A. Holshouser
- Department of Radiology, School of Medicine, Loma Linda University, 11234 Anderson Street, Loma Linda, CA 92354, USA
| | - Camellia Kani
- Department of Neurology, School of Medicine, Loma Linda University, 11234 Anderson Street, Loma Linda, CA 92354, USA
| | - Alex Boscanin
- Department of Radiology, School of Medicine, Loma Linda University, 11234 Anderson Street, Loma Linda, CA 92354, USA
| | - Kayvan Kani
- Department of Radiology, School of Medicine, Loma Linda University, 11234 Anderson Street, Loma Linda, CA 92354, USA
| | - Sheri L. Harder
- Department of Radiology, School of Medicine, Loma Linda University, 11234 Anderson Street, Loma Linda, CA 92354, USA
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266
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Li X, Allen RP, Earley CJ, Liu H, Cruz TE, Edden RAE, Barker PB, van Zijl PCM. Brain iron deficiency in idiopathic restless legs syndrome measured by quantitative magnetic susceptibility at 7 tesla. Sleep Med 2016; 22:75-82. [PMID: 27544840 PMCID: PMC4992945 DOI: 10.1016/j.sleep.2016.05.001] [Citation(s) in RCA: 61] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2016] [Revised: 04/08/2016] [Accepted: 05/07/2016] [Indexed: 12/19/2022]
Abstract
OBJECTIVES Altered brain iron homeostasis with regional iron deficiency has been previously reported in several studies of restless legs syndrome (RLS) patients. Inconsistencies still exist, however, in the reported iron changes in different brain regions and different RLS phenotypes. The purpose of this study was to assess differences in brain iron concentrations between RLS patients and healthy controls and their relation to severity of disease and periodic limb movement during sleep (PLMS). METHODS Assessment of brain iron was done using quantitative magnetic susceptibility measurement, which has been shown to correlate well with the tissue iron content in brain's gray matter. Thirty-nine RLS patients and 29 age-matched healthy controls were scanned at 7 T. Magnetic susceptibilities in substantia nigra (SN), thalamus, striatum, and several iron-rich gray matter regions were quantified and compared with related clinical measures. RESULTS Compared with healthy controls, RLS patients showed significantly decreased magnetic susceptibility in the thalamus and dentate nucleus. No significant difference was found in the SN between RLS patients and healthy controls, but a significant correlation was observed between magnetic susceptibility in SN and the PLMS measure. CONCLUSIONS Using quantitative magnetic susceptibility as an in vivo indicator of brain iron content, the present study supports the general hypothesis of brain iron deficiency in RLS and indicates its possible link to PLMS.
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Affiliation(s)
- Xu Li
- F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA; Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Richard P Allen
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Christopher J Earley
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Hongjun Liu
- F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA; Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA; Department of Radiology, Guangdong Academy of Medical Sciences, Guangdong General Hospital, Guangzhou, China
| | - Tiana E Cruz
- Department of Neurology, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Richard A E Edden
- F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA; Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Peter B Barker
- F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA; Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Peter C M van Zijl
- F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA; Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
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267
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Sood S, Urriola J, Reutens D, O'Brien K, Bollmann S, Barth M, Vegh V. Echo time-dependent quantitative susceptibility mapping contains information on tissue properties. Magn Reson Med 2016; 77:1946-1958. [PMID: 27221590 DOI: 10.1002/mrm.26281] [Citation(s) in RCA: 49] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2016] [Revised: 04/29/2016] [Accepted: 04/29/2016] [Indexed: 12/12/2022]
Abstract
PURPOSE Magnetic susceptibility is a physical property of matter that varies depending on chemical composition and abundance of different molecular species. Interest is growing in mapping of magnetic susceptibility in the human brain using magnetic resonance imaging techniques, but the influences affecting the mapped values are not fully understood. METHODS We performed quantitative susceptibility mapping on 7 Tesla (T) multiple echo time gradient recalled echo data and evaluated the trend in 10 regions of the human brain. Temporal plots of susceptibility were performed in the caudate, pallidum, putamen, thalamus, insula, red nucleus, substantia nigra, internal capsule, corpus callosum, and fornix. We implemented an existing three compartment signal model and used optimization to fit the experimental result to assess the influences that could be responsible for our findings. RESULTS The temporal trend in susceptibility is different for different brain regions, and subsegmentation of specific regions suggests that differences are likely to be attributable to variations in tissue structure and composition. Using a signal model, we verified that a nonlinear temporal behavior in experimentally computed susceptibility within imaging voxels may be the result of the heterogeneous composition of tissue properties. CONCLUSIONS Decomposition of voxel constituents into meaningful parameters may lead to informative measures that reflect changes in tissue microstructure. Magn Reson Med 77:1946-1958, 2017. © 2016 International Society for Magnetic Resonance in Medicine.
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Affiliation(s)
- Surabhi Sood
- Centre for Advanced Imaging, the University of Queensland, Brisbane, Australia
| | - Javier Urriola
- Centre for Advanced Imaging, the University of Queensland, Brisbane, Australia
| | - David Reutens
- Centre for Advanced Imaging, the University of Queensland, Brisbane, Australia
| | | | - Steffen Bollmann
- Centre for Advanced Imaging, the University of Queensland, Brisbane, Australia
| | - Markus Barth
- Centre for Advanced Imaging, the University of Queensland, Brisbane, Australia
| | - Viktor Vegh
- Centre for Advanced Imaging, the University of Queensland, Brisbane, Australia
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268
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Abstract
UNLABELLED Disruption of iron homeostasis as a consequence of aging is thought to cause iron levels to increase, potentially promoting oxidative cellular damage. Therefore, understanding how this process evolves through the lifespan could offer insights into both the aging process and the development of aging-related neurodegenerative brain diseases. This work aimed to map, in vivo for the first time with an unbiased whole-brain approach, age-related iron changes using quantitative susceptibility mapping (QSM)--a new postprocessed MRI contrast mechanism. To this end, a full QSM standardization routine was devised and a cohort of N = 116 healthy adults (20-79 years of age) was studied. The whole-brain and ROI analyses confirmed that the propensity of brain cells to accumulate excessive iron as a function of aging largely depends on their exact anatomical location. Whereas only patchy signs of iron scavenging were observed in white matter, strong, bilateral, and confluent QSM-age associations were identified in several deep-brain nuclei--chiefly the striatum and midbrain-and across motor, premotor, posterior insular, superior prefrontal, and cerebellar cortices. The validity of QSM as a suitable in vivo imaging technique with which to monitor iron dysregulation in the human brain was demonstrated by confirming age-related increases in several subcortical nuclei that are known to accumulate iron with age. The study indicated that, in addition to these structures, there is a predilection for iron accumulation in the frontal lobes, which when combined with the subcortical findings, suggests that iron accumulation with age predominantly affects brain regions concerned with motor/output functions. SIGNIFICANCE STATEMENT This study used a whole--brain imaging approach known as quantitative susceptibility mapping (QSM) to provide a novel insight into iron accumulation in the brain across the adult lifespan. Validity of the method was demonstrated by showing concordance with ROI analysis and prior knowledge of iron accumulation in subcortical nuclei. We discovered that, beyond these regions, there is extensive involvement of the frontal lobes that has been missed by past ROI analyses. Broadly speaking, therefore, the motor system selectively accumulates iron with age. The results offer insights into the aging process, but also offer a new approach to studying the role of iron dysregulation in the evolution of age-related neurodegenerative diseases.
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269
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Betts MJ, Acosta-Cabronero J, Cardenas-Blanco A, Nestor PJ, Düzel E. High-resolution characterisation of the aging brain using simultaneous quantitative susceptibility mapping (QSM) and R2* measurements at 7T. Neuroimage 2016; 138:43-63. [PMID: 27181761 DOI: 10.1016/j.neuroimage.2016.05.024] [Citation(s) in RCA: 91] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2015] [Revised: 04/28/2016] [Accepted: 05/07/2016] [Indexed: 12/12/2022] Open
Abstract
Quantitative susceptibility mapping (QSM) has recently emerged as a novel magnetic resonance imaging (MRI) method to detect non-haem iron deposition, calcifications, demyelination and vascular lesions in the brain. It has been suggested that QSM is more sensitive than the more conventional quantifiable MRI measure, namely the transverse relaxation rate, R2*. Here, we conducted the first high-resolution, whole-brain, simultaneously acquired, comparative study of the two techniques using 7Tesla MRI. We asked which of the two techniques would be more sensitive to explore global differences in tissue composition in elderly adults relative to young subjects. Both QSM and R2* revealed strong age-related differences in subcortical regions, hippocampus and cortical grey matter, particularly in superior frontal regions, motor/premotor cortices, insula and cerebellar regions. Within the basal ganglia system-but also hippocampus and cerebellar dentate nucleus-, QSM was largely in agreement with R2* with the exception of the globus pallidus. QSM, however, provided superior anatomical contrast and revealed age-related differences in the thalamus and in white matter, which were otherwise largely undetected by R2* measurements. In contrast, in occipital cortex, age-related differences were much greater with R2* compared to QSM. The present study, therefore, demonstrated that in vivo QSM using ultra-high field MRI provides a novel means to characterise age-related differences in the human brain, but also combining QSM and R2* using multi-gradient recalled echo imaging can potentially provide a more complete picture of mineralisation, demyelination and/or vascular alterations in aging and disease.
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Affiliation(s)
- Matthew J Betts
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany.
| | | | - Arturo Cardenas-Blanco
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany; Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University Magdeburg, Leipziger Str. 44, 39120 Magdeburg, Germany
| | - Peter J Nestor
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany
| | - Emrah Düzel
- German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany; Institute of Cognitive Neurology and Dementia Research, Otto-von-Guericke University Magdeburg, Leipziger Str. 44, 39120 Magdeburg, Germany; Institute of Cognitive Neuroscience, University College London, 17 Queen Square, London WC1N 3AR, UK
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270
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Doring TM, Granado V, Rueda F, Deistung A, Reichenbach JR, Tukamoto G, Gasparetto EL, Schweser F. Quantitative Susceptibility Mapping Indicates a Disturbed Brain Iron Homeostasis in Neuromyelitis Optica - A Pilot Study. PLoS One 2016; 11:e0155027. [PMID: 27171423 PMCID: PMC4865155 DOI: 10.1371/journal.pone.0155027] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2016] [Accepted: 04/22/2016] [Indexed: 11/18/2022] Open
Abstract
Dysregulation of brain iron homeostasis is a hallmark of many neurodegenerative diseases and can be associated with oxidative stress. The objective of this study was to investigate brain iron in patients with Neuromyelitis Optica (NMO) using quantitative susceptibility mapping (QSM), a quantitative iron-sensitive MRI technique. 12 clinically confirmed NMO patients (6 female and 6 male; age 35.4y±14.2y) and 12 age- and sex-matched healthy controls (7 female and 5 male; age 33.9±11.3y) underwent MRI of the brain at 3 Tesla. Quantitative maps of the effective transverse relaxation rate (R2*) and magnetic susceptibility were calculated and a blinded ROI-based group comparison analysis was performed. Normality of the data and differences between patients and controls were tested by Kolmogorov-Smirnov and t-test, respectively. Correlation with age was studied using Spearman's rank correlation and an ANCOVA-like analysis. Magnetic susceptibility values were decreased in the red nucleus (p<0.01; d>0.95; between -15 and -22 ppb depending on reference region) with a trend toward increasing differences with age. R2* revealed significantly decreased relaxation in the optic radiations of five of the 12 patients (p<0.0001; -3.136±0.567 s(-1)). Decreased relaxation in the optic radiation is indicative for demyelination, which is in line with previous findings. Decreased magnetic susceptibility in the red nucleus is indicative for a lower brain iron concentration, a chemical redistribution of iron into less magnetic forms, or both. Further investigations are necessary to elucidate the pathological cause or consequence of this finding.
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Affiliation(s)
- Thomas Martin Doring
- Diagnostic Imaging, Diagnosticos das Americas DASA, Rio de Janeiro, RJ, Brazil
- Departamento de Radiologia, Universidade Federal de Rio de Janeiro UFRJ, Rio de Janeiro, RJ, Brazil
| | - Vanessa Granado
- Diagnostic Imaging, Diagnosticos das Americas DASA, Rio de Janeiro, RJ, Brazil
- Departamento de Radiologia, Universidade Federal de Rio de Janeiro UFRJ, Rio de Janeiro, RJ, Brazil
| | - Fernanda Rueda
- Diagnostic Imaging, Diagnosticos das Americas DASA, Rio de Janeiro, RJ, Brazil
- Departamento de Radiologia, Universidade Federal de Rio de Janeiro UFRJ, Rio de Janeiro, RJ, Brazil
| | - Andreas Deistung
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital, Friedrich Schiller University Jena, Jena, TH, Germany
| | - Juergen R. Reichenbach
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital, Friedrich Schiller University Jena, Jena, TH, Germany
- Michael Stifel Center for Data-driven and Simulation Science Jena, Friedrich Schiller University Jena, Jena, TH, Germany
| | - Gustavo Tukamoto
- Diagnostic Imaging, Diagnosticos das Americas DASA, Rio de Janeiro, RJ, Brazil
| | - Emerson Leandro Gasparetto
- Diagnostic Imaging, Diagnosticos das Americas DASA, Rio de Janeiro, RJ, Brazil
- Departamento de Radiologia, Universidade Federal de Rio de Janeiro UFRJ, Rio de Janeiro, RJ, Brazil
| | - Ferdinand Schweser
- 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, United States of America
- MRI Clinical and Translational Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, United States of America
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271
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Schneider TM, Deistung A, Biedermann U, Matthies C, Ernestus RI, Volkmann J, Heiland S, Bendszus M, Reichenbach JR. Susceptibility Sensitive Magnetic Resonance Imaging Displays Pallidofugal and Striatonigral Fiber Tracts. Oper Neurosurg (Hagerstown) 2016; 12:330-338. [DOI: 10.1227/neu.0000000000001256] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2015] [Accepted: 02/29/2016] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND
The pallidofugal and striatonigral fiber tracts form a functional part of the basal ganglionic neuronal networks. For deep brain stimulation, a surgical procedure applied in the treatment of Parkinson disease and dystonia, precise localization of pallidofugal pathways may be of particular clinical relevance for correct electrode positioning.
OBJECTIVE
To investigate whether the pallidofugal and striatonigral pathways can be visualized with magnetic resonance imaging in vivo by exploiting their intrinsic magnetic susceptibility.
METHODS
Three-dimensional gradient-echo imaging of 5 volunteers was performed on a 7 T magnetic resonance imaging system. To demonstrate that the displayed tubular structures in the vicinity of the subthalamic nucleus and substantia nigra truly represent fiber tracts rather than veins, gradient-echo data of a formalin-fixated brain and a volunteer during inhalation of ambient air and carbogen were collected at 3 T. Susceptibility weighted images, quantitative susceptibility maps, and effective transverse relaxation maps were reconstructed and the depiction of fiber tracts was qualitatively assessed.
RESULTS
High-resolution susceptibility-based magnetic resonance imaging contrasts enabled visualization of pallidofugal and striatonigral fiber tracts noninvasively at 3 T and 7 T. We verified that the stripe-like pattern observed on susceptibility-sensitive images is not caused by veins crossing the internal capsule but by fiber tracts traversing the internal capsule.
CONCLUSION
Pallidofugal and striatonigral fiber tracts have been visualized in vivo for the first time by using susceptibility-sensitive image contrasts. Considering the course of pallidofugal pathways, in particular for deep brain stimulation procedures in the vicinity of the subthalamic nucleus, could provide landmarks for optimal targeting during stereotactic planning.
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Affiliation(s)
- Till M Schneider
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Andreas Deistung
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital—Friedrich Schiller University Jena, Jena, Germany
| | - Uta Biedermann
- Institute of Anatomy I, Jena University Hospital—Friedrich Schiller University Jena, Jena, Germany
| | - Cordula Matthies
- Department of Neurosurgery, Würzburg University Hospital, Würzburg, Germany
| | - Ralf-Ingo Ernestus
- Department of Neurosurgery, Würzburg University Hospital, Würzburg, Germany
| | - Jens Volkmann
- Department of Neurology, Würzburg University Hospital, Würzburg, Germany
| | - Sabine Heiland
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Martin Bendszus
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Jürgen R Reichenbach
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital—Friedrich Schiller University Jena, Jena, Germany
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Costagli M, Donatelli G, Biagi L, Caldarazzo Ienco E, Siciliano G, Tosetti M, Cosottini M. Magnetic susceptibility in the deep layers of the primary motor cortex in Amyotrophic Lateral Sclerosis. NEUROIMAGE-CLINICAL 2016; 12:965-969. [PMID: 27995062 PMCID: PMC5153607 DOI: 10.1016/j.nicl.2016.04.011] [Citation(s) in RCA: 60] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/20/2016] [Revised: 03/29/2016] [Accepted: 04/30/2016] [Indexed: 01/14/2023]
Abstract
Amyotrophic Lateral Sclerosis (ALS) is a progressive neurological disorder that entails degeneration of both upper and lower motor neurons. The primary motor cortex (M1) in patients with upper motor neuron (UMN) impairment is pronouncedly hypointense in Magnetic Resonance (MR) T2* contrast. In the present study, 3D gradient-recalled multi-echo sequences were used on a 7 Tesla MR system to acquire T2*-weighted images targeting M1 at high spatial resolution. MR raw data were used for Quantitative Susceptibility Mapping (QSM). Measures of magnetic susceptibility correlated with the expected concentration of non-heme iron in different regions of the cerebral cortex in healthy subjects. In ALS patients, significant increases in magnetic susceptibility co-localized with the T2* hypointensity observed in the middle and deep layers of M1. The magnetic susceptibility, hence iron concentration, of the deep cortical layers of patients' M1 subregions corresponding to Penfield's areas of the hand and foot in both hemispheres significantly correlated with the clinical scores of UMN impairment of the corresponding limbs. QSM therefore reflects the presence of iron deposits related to neuroinflammatory reaction and cortical microgliosis, and might prove useful in estimating M1 iron concentration, as a possible radiological sign of severe UMN burden in ALS patients. Magnetic susceptibility (χ) was measured in ALS patients' and healthy controls' M1. In healthy subjects' cortex, χ correlated with the expected concentration of iron. In patients, increased χ co-localized with T2* hypointensity in M1 deeper layers. χ correlated with clinical scores of upper motor neuron impairment in patients. χ could be a radiological sign of iron deposits and severe UMN burden in ALS.
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Affiliation(s)
- M Costagli
- Imago7 Research Foundation, Pisa, Italy; Laboratory of Medical Physics and Biotechnologies for Magnetic Resonance, IRCCS Stella Maris, Pisa, Italy
| | - G Donatelli
- Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
| | - L Biagi
- Laboratory of Medical Physics and Biotechnologies for Magnetic Resonance, IRCCS Stella Maris, Pisa, Italy
| | - E Caldarazzo Ienco
- Neurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - G Siciliano
- Neurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - M Tosetti
- Imago7 Research Foundation, Pisa, Italy; Laboratory of Medical Physics and Biotechnologies for Magnetic Resonance, IRCCS Stella Maris, Pisa, Italy
| | - M Cosottini
- Imago7 Research Foundation, Pisa, Italy; Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy
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273
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van Bergen JMG, Hua J, Unschuld PG, Lim IAL, Jones CK, Margolis RL, Ross CA, van Zijl PCM, Li X. Quantitative Susceptibility Mapping Suggests Altered Brain Iron in Premanifest Huntington Disease. AJNR Am J Neuroradiol 2016; 37:789-96. [PMID: 26680466 DOI: 10.3174/ajnr.a4617] [Citation(s) in RCA: 95] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2015] [Accepted: 09/22/2015] [Indexed: 12/27/2022]
Abstract
BACKGROUND AND PURPOSE In patients with premanifest (nonsymptomatic) and advanced Huntington disease, changes in brain iron levels in the basal ganglia have been previously reported, especially in the striatum. Quantitative susceptibility mapping by using MR phase imaging allows in vivo measurements of tissue magnetic susceptibility, which has been shown to correlate well with iron levels in brain gray matter and is believed to be more specific than other imaging-based iron measures. The purpose of this study was to investigate the use of magnetic susceptibility as a biomarker of disease progression. MATERIALS AND METHODS Fifteen subjects with premanifest Huntington disease and 16 age-matched healthy controls were scanned at 7T. Magnetic susceptibility, effective relaxation, and tissue volume in deep gray matter structures were quantified and compared with genetic and clinical measures. RESULTS Subjects with premanifest Huntington disease showed significantly higher susceptibility values in the caudate nucleus, putamen, and globus pallidus, indicating increased iron levels in these structures. Significant decreases in magnetic susceptibility were found in the substantia nigra and hippocampus. In addition, significant volume loss (atrophy) and an increase effective relaxation were observed in the caudate nucleus and putamen. Susceptibility values in the caudate nucleus and putamen were found to be inversely correlated with structure volumes and directly correlated with the genetic burdens, represented by cytosine-adenine-guanine repeat age-product-scaled scores. CONCLUSIONS The significant magnetic susceptibility differences between subjects with premanifest Huntington disease and controls and their correlation with genetic burden scores indicate the potential use of magnetic susceptibility as a biomarker of disease progression in premanifest Huntington disease.
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Affiliation(s)
- J M G van Bergen
- From the Departments of Radiology and Radiological Sciences (J.M.G.v.B., J.H., I.A.L.L., C.K.J., P.C.M.v.Z., X.L.) F.M. Kirby Research Center for Functional Brain Imaging (J.M.G.v.B., J.H., I.A.L.L., C.K.J., P.C.M.v.Z., X.L.), Kennedy Krieger Institute, Baltimore, Maryland
| | - J Hua
- From the Departments of Radiology and Radiological Sciences (J.M.G.v.B., J.H., I.A.L.L., C.K.J., P.C.M.v.Z., X.L.) F.M. Kirby Research Center for Functional Brain Imaging (J.M.G.v.B., J.H., I.A.L.L., C.K.J., P.C.M.v.Z., X.L.), Kennedy Krieger Institute, Baltimore, Maryland
| | - P G Unschuld
- Psychiatry and Behavioral Sciences (P.G.U., R.L.M., C.A.R.) Division of Psychiatry Research and Psychogeriatric Medicine (P.G.U.), University of Zurich, Zurich, Switzerland
| | - I A L Lim
- From the Departments of Radiology and Radiological Sciences (J.M.G.v.B., J.H., I.A.L.L., C.K.J., P.C.M.v.Z., X.L.) F.M. Kirby Research Center for Functional Brain Imaging (J.M.G.v.B., J.H., I.A.L.L., C.K.J., P.C.M.v.Z., X.L.), Kennedy Krieger Institute, Baltimore, Maryland
| | - C K Jones
- From the Departments of Radiology and Radiological Sciences (J.M.G.v.B., J.H., I.A.L.L., C.K.J., P.C.M.v.Z., X.L.) F.M. Kirby Research Center for Functional Brain Imaging (J.M.G.v.B., J.H., I.A.L.L., C.K.J., P.C.M.v.Z., X.L.), Kennedy Krieger Institute, Baltimore, Maryland
| | - R L Margolis
- Psychiatry and Behavioral Sciences (P.G.U., R.L.M., C.A.R.) Neurology (R.L.M., C.A.R.), Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - C A Ross
- Psychiatry and Behavioral Sciences (P.G.U., R.L.M., C.A.R.) Neurology (R.L.M., C.A.R.), Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - P C M van Zijl
- From the Departments of Radiology and Radiological Sciences (J.M.G.v.B., J.H., I.A.L.L., C.K.J., P.C.M.v.Z., X.L.) F.M. Kirby Research Center for Functional Brain Imaging (J.M.G.v.B., J.H., I.A.L.L., C.K.J., P.C.M.v.Z., X.L.), Kennedy Krieger Institute, Baltimore, Maryland
| | - X Li
- From the Departments of Radiology and Radiological Sciences (J.M.G.v.B., J.H., I.A.L.L., C.K.J., P.C.M.v.Z., X.L.) F.M. Kirby Research Center for Functional Brain Imaging (J.M.G.v.B., J.H., I.A.L.L., C.K.J., P.C.M.v.Z., X.L.), Kennedy Krieger Institute, Baltimore, Maryland
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274
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Domínguez JFD, Ng ACL, Poudel G, Stout JC, Churchyard A, Chua P, Egan GF, Georgiou-Karistianis N. Iron accumulation in the basal ganglia in Huntington's disease: cross-sectional data from the IMAGE-HD study. J Neurol Neurosurg Psychiatry 2016; 87:545-9. [PMID: 25952334 DOI: 10.1136/jnnp-2014-310183] [Citation(s) in RCA: 61] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2014] [Accepted: 04/19/2015] [Indexed: 02/07/2023]
Abstract
OBJECTIVES To measure iron accumulation in the basal ganglia in Huntington's disease (HD) using quantitative susceptibility mapping (QSM), and to ascertain its relevance in terms of clinical and disease severity. METHODS In this cross-sectional investigation, T2* weighted imaging was undertaken on 31 premanifest HD, 32 symptomatic HD and 30 control participants as part of the observational IMAGE-HD study. Group differences in iron accumulation were ascertained with QSM. Associations between susceptibility values and disease severity were also investigated. RESULTS Compared with controls, both premanifest and symptomatic HD groups showed significantly greater iron content in pallidum, putamen and caudate. Additionally, iron accumulation in both putamen and caudate was significantly associated with disease severity. CONCLUSIONS These findings provide the first evidence that QSM is sensitive to iron deposition in subcortical target areas across premanifest and symptomatic stages of HD. Such findings could open up new avenues for biomarker development and therapeutic intervention.
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Affiliation(s)
- Juan F D Domínguez
- School of Psychological Sciences, Monash University, Clayton, Victoria, Australia
| | - Amanda C L Ng
- Department of Anatomy and Neuroscience, The University of Melbourne, Parkville, Victoria, Australia
| | - Govinda Poudel
- School of Psychological Sciences, Monash University, Clayton, Victoria, Australia Monash Biomedical Imaging (MBI), Monash University, Melbourne, Victoria, Australia VLSCI Life Sciences Computation Centre, Melbourne, Victoria, Australia
| | - Julie C Stout
- School of Psychological Sciences, Monash University, Clayton, Victoria, Australia
| | - Andrew Churchyard
- Department of Neurology, Monash Medical Centre, Clayton, Victoria, Australia
| | - Phyllis Chua
- School of Psychological Sciences, Monash University, Clayton, Victoria, Australia
| | - Gary F Egan
- School of Psychological Sciences, Monash University, Clayton, Victoria, Australia Monash Biomedical Imaging (MBI), Monash University, Melbourne, Victoria, Australia
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Tardif CL, Gauthier CJ, Steele CJ, Bazin PL, Schäfer A, Schaefer A, Turner R, Villringer A. Advanced MRI techniques to improve our understanding of experience-induced neuroplasticity. Neuroimage 2016; 131:55-72. [DOI: 10.1016/j.neuroimage.2015.08.047] [Citation(s) in RCA: 51] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2015] [Revised: 08/18/2015] [Accepted: 08/20/2015] [Indexed: 12/13/2022] Open
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Thomas AG, Dennis A, Rawlings NB, Stagg CJ, Matthews L, Morris M, Kolind SH, Foxley S, Jenkinson M, Nichols TE, Dawes H, Bandettini PA, Johansen-Berg H. Multi-modal characterization of rapid anterior hippocampal volume increase associated with aerobic exercise. Neuroimage 2016; 131:162-70. [PMID: 26654786 PMCID: PMC4848119 DOI: 10.1016/j.neuroimage.2015.10.090] [Citation(s) in RCA: 92] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2015] [Revised: 09/30/2015] [Accepted: 10/31/2015] [Indexed: 12/15/2022] Open
Abstract
The hippocampus has been shown to demonstrate a remarkable degree of plasticity in response to a variety of tasks and experiences. For example, the size of the human hippocampus has been shown to increase in response to aerobic exercise. However, it is currently unknown what underlies these changes. Here we scanned sedentary, young to middle-aged human adults before and after a six-week exercise intervention using nine different neuroimaging measures of brain structure, vasculature, and diffusion. We then tested two different hypotheses regarding the nature of the underlying changes in the tissue. Surprisingly, we found no evidence of a vascular change as has been previously reported. Rather, the pattern of changes is better explained by an increase in myelination. Finally, we show that hippocampal volume increase is temporary, returning to baseline after an additional six weeks without aerobic exercise. This is the first demonstration of a change in hippocampal volume in early to middle adulthood suggesting that hippocampal volume is modulated by aerobic exercise throughout the lifespan rather than only in the presence of age related atrophy. It is also the first demonstration of hippocampal volume change over a period of only six weeks, suggesting that gross morphometric hippocampal plasticity occurs faster than previously thought.
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Affiliation(s)
- Adam G Thomas
- Section on Functional Imaging Methods, NIMH, NIH, DHHS, Bethesda, MD, USA; FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom.
| | - Andrea Dennis
- FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Nancy B Rawlings
- FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Charlotte J Stagg
- FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Lucy Matthews
- FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Martyn Morris
- Movement Sciences Group, Oxford Brookes University, Oxford, United Kingdom
| | - Shannon H Kolind
- Center for Neuroimaging Sciences, King's College London, London, ON, Canada
| | - Sean Foxley
- FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Mark Jenkinson
- FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Thomas E Nichols
- Department of Statistics, University of Warwick, Coventry, United Kingdom
| | - Helen Dawes
- Department of Statistics, University of Warwick, Coventry, United Kingdom
| | - Peter A Bandettini
- Section on Functional Imaging Methods, NIMH, NIH, DHHS, Bethesda, MD, USA
| | - Heidi Johansen-Berg
- FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
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277
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Optimized depiction of thalamic substructures with a combination of T1-MPRAGE and phase: MPRAGE. Clin Neuroradiol 2016; 27:511-518. [PMID: 27119153 DOI: 10.1007/s00062-016-0513-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2016] [Accepted: 03/17/2016] [Indexed: 10/21/2022]
Abstract
OBJECTIVE Deep brain stimulation has received increasing attention in recent years as a treatment option for many neurological diseases. The thalamic nuclei in particular are widely used as targets. The goal of the present work was to evaluate whether the combination of two known MRI techniques can lead to identification of thalamic substructures at 3 T. METHODS In nine healthy subjects, an optimized 3D magnetization prepared rapid acquisition GRE (MPRAGE) protocol and phase data from a 3D GRE sequence were combined to form a new contrast (MPRAGE*). The depiction of 13 thalamic substructures was rated by two independent raters in the MPRAGE, phase and MPRAGE* image on a five-point scale. Inter-rater reliability was scored with a weighted Cohen's kappa. RESULTS Inter-rater reliability was good, with the average weighted κ = 0.68. No significant difference between the depiction of the thalamic substructures between phase and MPRAGE images could be found. MPRAGE* showed a significantly better depiction of thalamic substructures in comparison to MPRAGE and phase (p < 0.001 for both cases). CONCLUSION The combination of an optimized MPRAGE protocol with phase data to form an MPRAGE* image leads to a further improvement in the depiction of thalamic substructures, which enables the depiction of thalamic nuclei at 3 T.
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278
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Ramdhani RA, Frucht SJ, Behnegar A, Kopell BH. Improvement of Isolated Myoclonus Phenotype in Myoclonus Dystonia after Pallidal Deep Brain Stimulation. TREMOR AND OTHER HYPERKINETIC MOVEMENTS (NEW YORK, N.Y.) 2016; 6:369. [PMID: 26989574 PMCID: PMC4790205 DOI: 10.7916/d8f47p0c] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/16/2016] [Accepted: 02/05/2016] [Indexed: 12/01/2022]
Abstract
Background Myoclonus–dystonia is a condition that manifests predominantly as myoclonic jerks with focal dystonia. It is genetically heterogeneous with most mutations in the epsilon sarcoglycan gene (SGCE). In medically refractory cases, deep brain stimulation (DBS) has been shown to provide marked sustainable clinical improvement, especially in SGCE-positive patients. We present two patients with myoclonus–dystonia (one SGCE positive and the other SGCE negative) who have the isolated myoclonus phenotype and had DBS leads implanted in the bilateral globus pallidus internus (GPi). Methods We review their longitudinal Unified Myoclonus Rating Scale scores along with their DBS programming parameters and compare them with published cases in the literature. Results Both patients demonstrated complete amelioration of all aspects of myoclonus within 6–12 months after surgery. The patient with the SGCE-negative mutation responded just as well as the patient who was SGCE positive. High-frequency stimulation (130 Hz) with amplitudes greater than 2.5 V provided therapeutic benefit. Discussion This case series demonstrates that high frequency GPi-DBS is effective in treating isolated myoclonus in myoclonus–dystonia, regardless of the presence of SGCE mutation.
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Affiliation(s)
- Ritesh A Ramdhani
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Division of Movement Disorders, Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Steven J Frucht
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Anousheh Behnegar
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Brian H Kopell
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Division of Movement Disorders, Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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279
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Harrison DM, Li X, Liu H, Jones CK, Caffo B, Calabresi PA, van Zijl P. Lesion Heterogeneity on High-Field Susceptibility MRI Is Associated with Multiple Sclerosis Severity. AJNR Am J Neuroradiol 2016; 37:1447-53. [PMID: 26939635 DOI: 10.3174/ajnr.a4726] [Citation(s) in RCA: 62] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2015] [Accepted: 01/04/2016] [Indexed: 01/14/2023]
Abstract
BACKGROUND AND PURPOSE Susceptibility MR imaging contrast variations reflect alterations in brain iron and myelin content, making this imaging tool relevant to studies of multiple sclerosis lesion heterogeneity. In this study, we aimed to characterize the relationship of high-field, susceptibility contrasts in multiple sclerosis lesions to clinical outcomes. MATERIALS AND METHODS Twenty-four subjects with multiple sclerosis underwent 7T MR imaging of the brain, disability examinations, and a fatigue inventory. The inverse of T2* relaxation time (R2*), frequency, and relative susceptibility (from quantitative susceptibility mapping) were analyzed in 306 white matter lesions. RESULTS Most lesions were hypointense on R2* (88% without a rim, 5% with). Lesions that were hyperintense on quantitative susceptibility mapping were more frequent in relapsing-remitting than in progressive multiple sclerosis (54% versus 35%, P = .018). Hyperintense lesion rims on quantitative susceptibility maps were more common in progressive multiple sclerosis and patients with higher levels of disability and fatigue. Mean lesion R2* was inversely related to disability and fatigue and significantly reduced in progressive multiple sclerosis. Relative susceptibility was lower in lesions in progressive multiple sclerosis (median, -0.018 ppm; range, -0.070 to 0.022) than in relapsing-remitting MS (median, -0.010 ppm; range, -0.062 to 0.052; P = .003). CONCLUSIONS A progressive clinical phenotype and greater disability and fatigue were associated with lower R2* and relative susceptibility values (suggestive of low iron due to oligodendrocyte loss) and rimmed lesions (suggestive of chronic inflammation) in this multiple sclerosis cohort. Lesion heterogeneity on susceptibility MR imaging may help explain disability in multiple sclerosis and provide a window into the processes of demyelination, oligodendrocyte loss, and chronic lesion inflammation.
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Affiliation(s)
- D M Harrison
- From the Department of Neurology (D.M.H.), University of Maryland School of Medicine, Baltimore, Maryland Departments of Neurology (D.M.H., P.A.C.)
| | - X Li
- Radiology and Radiological Science (X.L., C.K.J., P.v.Z.) F.M. Kirby Research Center for Functional Brain Imaging (X.L., H.L., C.K.J., P.v.Z.), Kennedy Krieger Institute, Baltimore, Maryland
| | - H Liu
- F.M. Kirby Research Center for Functional Brain Imaging (X.L., H.L., C.K.J., P.v.Z.), Kennedy Krieger Institute, Baltimore, Maryland Department of Radiology (H.L.), Guangdong Academy of Medical Sciences, Guangdong General Hospital, Guangzhou, China
| | - C K Jones
- Radiology and Radiological Science (X.L., C.K.J., P.v.Z.) F.M. Kirby Research Center for Functional Brain Imaging (X.L., H.L., C.K.J., P.v.Z.), Kennedy Krieger Institute, Baltimore, Maryland
| | - B Caffo
- Biostatistics (B.C.), Johns Hopkins University School of Medicine, Baltimore, Maryland
| | | | - P van Zijl
- Radiology and Radiological Science (X.L., C.K.J., P.v.Z.) F.M. Kirby Research Center for Functional Brain Imaging (X.L., H.L., C.K.J., P.v.Z.), Kennedy Krieger Institute, Baltimore, Maryland
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280
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New tissue priors for improved automated classification of subcortical brain structures on MRI. Neuroimage 2016; 130:157-166. [PMID: 26854557 PMCID: PMC4819722 DOI: 10.1016/j.neuroimage.2016.01.062] [Citation(s) in RCA: 84] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2015] [Revised: 01/10/2016] [Accepted: 01/29/2016] [Indexed: 12/27/2022] Open
Abstract
Despite the constant improvement of algorithms for automated brain tissue classification, the accurate delineation of subcortical structures using magnetic resonance images (MRI) data remains challenging. The main difficulties arise from the low gray-white matter contrast of iron rich areas in T1-weighted (T1w) MRI data and from the lack of adequate priors for basal ganglia and thalamus. The most recent attempts to obtain such priors were based on cohorts with limited size that included subjects in a narrow age range, failing to account for age-related gray-white matter contrast changes. Aiming to improve the anatomical plausibility of automated brain tissue classification from T1w data, we have created new tissue probability maps for subcortical gray matter regions. Supported by atlas-derived spatial information, raters manually labeled subcortical structures in a cohort of healthy subjects using magnetization transfer saturation and R2* MRI maps, which feature optimal gray-white matter contrast in these areas. After assessment of inter-rater variability, the new tissue priors were tested on T1w data within the framework of voxel-based morphometry. The automated detection of gray matter in subcortical areas with our new probability maps was more anatomically plausible compared to the one derived with currently available priors. We provide evidence that the improved delineation compensates age-related bias in the segmentation of iron rich subcortical regions. The new tissue priors, allowing robust detection of basal ganglia and thalamus, have the potential to enhance the sensitivity of voxel-based morphometry in both healthy and diseased brains. We create new tissue probability maps of subcortical structures based on magnetization transfer saturation and R2* MRI data. We obtain anatomically plausible delineation of subcortical structures from T1w data with the new tissue probability maps. Automated tissue classification with the new tissue probability maps is more robust against the age impact on MR contrast.
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281
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Bonnier G, Kober T, Schluep M, Du Pasquier R, Krueger G, Meuli R, Granziera C, Roche A. A New Approach for Deep Gray Matter Analysis Using Partial-Volume Estimation. PLoS One 2016; 11:e0148631. [PMID: 26845760 PMCID: PMC4741419 DOI: 10.1371/journal.pone.0148631] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2015] [Accepted: 01/21/2016] [Indexed: 01/16/2023] Open
Abstract
Introduction The existence of partial volume effects in brain MR images makes it challenging to understand physio-pathological alterations underlying signal changes due to pathology across groups of healthy subjects and patients. In this study, we implement a new approach to disentangle gray and white matter alterations in the thalamus and the basal ganglia. The proposed method was applied to a cohort of early multiple sclerosis (MS) patients and healthy subjects to evaluate tissue-specific alterations related to diffuse inflammatory or neurodegenerative processes. Method Forty-three relapsing-remitting MS patients and nineteen healthy controls underwent 3T MRI including: (i) fluid-attenuated inversion recovery, double inversion recovery, magnetization-prepared gradient echo for lesion count, and (ii) T1 relaxometry. We applied a partial volume estimation algorithm to T1 relaxometry maps to gray and white matter local concentrations as well as T1 values characteristic of gray and white matter in the thalamus and the basal ganglia. Statistical tests were performed to compare groups in terms of both global T1 values, tissue characteristic T1 values, and tissue concentrations. Results Significant increases in global T1 values were observed in the thalamus (p = 0.038) and the putamen (p = 0.026) in RRMS patients compared to HC. In the Thalamus, the T1 increase was associated with a significant increase in gray matter characteristic T1 (p = 0.0016) with no significant effect in white matter. Conclusion The presented methodology provides additional information to standard MR signal averaging approaches that holds promise to identify the presence and nature of diffuse pathology in neuro-inflammatory and neurodegenerative diseases.
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Affiliation(s)
- Guillaume Bonnier
- Advanced Clinical Imaging Technology, Siemens Healthcare IM BM PI, Lausanne, Switzerland
- LTS5, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Department of Clinical Neurosciences, LREN and Neuroimmunology Laboratory, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland
- * E-mail:
| | - Tobias Kober
- Advanced Clinical Imaging Technology, Siemens Healthcare IM BM PI, Lausanne, Switzerland
- LTS5, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Department of Radiology, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland
| | - Myriam Schluep
- Department of Clinical Neurosciences, LREN and Neuroimmunology Laboratory, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland
| | - Renaud Du Pasquier
- Department of Clinical Neurosciences, LREN and Neuroimmunology Laboratory, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland
| | - Gunnar Krueger
- Siemens Medical Solutions USA IM MR COL NEZ, Burlington, MA, United States of America
| | - Reto Meuli
- Department of Radiology, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland
| | - Cristina Granziera
- Advanced Clinical Imaging Technology, Siemens Healthcare IM BM PI, Lausanne, Switzerland
- LTS5, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Department of Clinical Neurosciences, LREN and Neuroimmunology Laboratory, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland
| | - Alexis Roche
- Advanced Clinical Imaging Technology, Siemens Healthcare IM BM PI, Lausanne, Switzerland
- LTS5, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
- Department of Radiology, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland
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Bilgic B, Xie L, Dibb R, Langkammer C, Mutluay A, Ye H, Polimeni JR, Augustinack J, Liu C, Wald LL, Setsompop K. Rapid multi-orientation quantitative susceptibility mapping. Neuroimage 2016; 125:1131-1141. [PMID: 26277773 PMCID: PMC4691433 DOI: 10.1016/j.neuroimage.2015.08.015] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2015] [Revised: 08/02/2015] [Accepted: 08/04/2015] [Indexed: 01/10/2023] Open
Abstract
Three-dimensional gradient echo (GRE) is the main workhorse sequence used for susceptibility weighted imaging (SWI), quantitative susceptibility mapping (QSM), and susceptibility tensor imaging (STI). Achieving optimal phase signal-to-noise ratio requires late echo times, thus necessitating a long repetition time (TR). Combined with the large encoding burden of whole-brain coverage with high resolution, this leads to increased scan time. Further, the dipole kernel relating the tissue phase to the underlying susceptibility distribution undersamples the frequency content of the susceptibility map. Scans at multiple head orientations along with calculation of susceptibility through multi-orientation sampling (COSMOS) are one way to effectively mitigate this issue. Additionally, STI requires a minimum of 6 head orientations to solve for the independent tensor elements in each voxel. The requirements of high-resolution imaging with long TR at multiple orientations substantially lengthen the acquisition of COSMOS and STI. The goal of this work is to dramatically speed up susceptibility mapping at multiple head orientations. We demonstrate highly efficient acquisition using 3D-GRE with Wave-CAIPI and dramatically reduce the acquisition time of these protocols. Using R=15-fold acceleration with Wave-CAIPI permits acquisition per head orientation in 90s at 1.1mm isotropic resolution, and 5:35min at 0.5mm isotropic resolution. Since Wave-CAIPI fully harnesses the 3D spatial encoding capability of receive arrays, the maximum g-factor noise amplification remains below 1.30 at 3T and 1.12 at 7T. This allows a 30-min exam for STI with 12 orientations, thus paving the way to its clinical application.
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Affiliation(s)
- Berkin Bilgic
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA; Department of Radiology, Harvard Medical School, Boston, MA, USA.
| | - Luke Xie
- Center for In Vivo Microscopy, Duke University Medical Center, Durham, NC, USA
| | - Russell Dibb
- Center for In Vivo Microscopy, Duke University Medical Center, Durham, NC, USA; Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, USA
| | - Christian Langkammer
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA; Department of Neurology, Medical University of Graz, Graz, Austria; Department of Radiology, Harvard Medical School, Boston, MA, USA
| | | | - Huihui Ye
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA; Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - Jonathan R Polimeni
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA; Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - Jean Augustinack
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA; Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - Chunlei Liu
- Center for In Vivo Microscopy, Duke University Medical Center, Durham, NC, USA; Brain Imaging and Analysis Center, Duke University Medical Center, Durham, NC, USA
| | - Lawrence L Wald
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA; Department of Radiology, Harvard Medical School, Boston, MA, USA; Harvard-MIT Health Sciences and Technology, MIT, Cambridge, MA, USA
| | - Kawin Setsompop
- Athinoula A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA; Department of Radiology, Harvard Medical School, Boston, MA, USA
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283
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Stüber C, Pitt D, Wang Y. Iron in Multiple Sclerosis and Its Noninvasive Imaging with Quantitative Susceptibility Mapping. Int J Mol Sci 2016; 17:ijms17010100. [PMID: 26784172 PMCID: PMC4730342 DOI: 10.3390/ijms17010100] [Citation(s) in RCA: 70] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2015] [Revised: 01/05/2016] [Accepted: 01/07/2016] [Indexed: 01/06/2023] Open
Abstract
Iron is considered to play a key role in the development and progression of Multiple Sclerosis (MS). In particular, iron that accumulates in myeloid cells after the blood-brain barrier (BBB) seals may contribute to chronic inflammation, oxidative stress and eventually neurodegeneration. Magnetic resonance imaging (MRI) is a well-established tool for the non-invasive study of MS. In recent years, an advanced MRI method, quantitative susceptibility mapping (QSM), has made it possible to study brain iron through in vivo imaging. Moreover, immunohistochemical investigations have helped defining the lesional and cellular distribution of iron in MS brain tissue. Imaging studies in MS patients and of brain tissue combined with histological studies have provided important insights into the role of iron in inflammation and neurodegeneration in MS.
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Affiliation(s)
- Carsten Stüber
- Department of Radiology, Weill Cornell Medical College, New York, NY 10044, USA.
- Department of Neurology, Yale School of Medicine, Yale University, New Haven, CT 06511, USA.
| | - David Pitt
- Department of Neurology, Yale School of Medicine, Yale University, New Haven, CT 06511, USA.
| | - Yi Wang
- Department of Radiology, Weill Cornell Medical College, New York, NY 10044, USA.
- Department of Biomedical Engineering, Cornell University, Ithaca, NY 14853, USA.
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284
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Stüber C, Pitt D, Wang Y. Iron in Multiple Sclerosis and Its Noninvasive Imaging with Quantitative Susceptibility Mapping. Int J Mol Sci 2016. [PMID: 26784172 DOI: 10.3390/ijmsl17010100] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/27/2023] Open
Abstract
Iron is considered to play a key role in the development and progression of Multiple Sclerosis (MS). In particular, iron that accumulates in myeloid cells after the blood-brain barrier (BBB) seals may contribute to chronic inflammation, oxidative stress and eventually neurodegeneration. Magnetic resonance imaging (MRI) is a well-established tool for the non-invasive study of MS. In recent years, an advanced MRI method, quantitative susceptibility mapping (QSM), has made it possible to study brain iron through in vivo imaging. Moreover, immunohistochemical investigations have helped defining the lesional and cellular distribution of iron in MS brain tissue. Imaging studies in MS patients and of brain tissue combined with histological studies have provided important insights into the role of iron in inflammation and neurodegeneration in MS.
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Affiliation(s)
- Carsten Stüber
- Department of Radiology, Weill Cornell Medical College, New York, NY 10044, USA.
- Department of Neurology, Yale School of Medicine, Yale University, New Haven, CT 06511, USA.
| | - David Pitt
- Department of Neurology, Yale School of Medicine, Yale University, New Haven, CT 06511, USA.
| | - Yi Wang
- Department of Radiology, Weill Cornell Medical College, New York, NY 10044, USA.
- Department of Biomedical Engineering, Cornell University, Ithaca, NY 14853, USA.
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285
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Open Science CBS Neuroimaging Repository: Sharing ultra-high-field MR images of the brain. Neuroimage 2016; 124:1143-1148. [DOI: 10.1016/j.neuroimage.2015.08.042] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2015] [Revised: 07/21/2015] [Accepted: 08/15/2015] [Indexed: 01/03/2023] Open
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286
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Waehnert MD, Dinse J, Schäfer A, Geyer S, Bazin PL, Turner R, Tardif CL. A subject-specific framework for in vivo myeloarchitectonic analysis using high resolution quantitative MRI. Neuroimage 2016; 125:94-107. [DOI: 10.1016/j.neuroimage.2015.10.001] [Citation(s) in RCA: 58] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2015] [Revised: 09/30/2015] [Accepted: 10/01/2015] [Indexed: 01/22/2023] Open
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287
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Liu M, Liu S, Ghassaban K, Zheng W, Dicicco D, Miao Y, Habib C, Jazmati T, Haacke EM. Assessing global and regional iron content in deep gray matter as a function of age using susceptibility mapping. J Magn Reson Imaging 2015; 44:59-71. [DOI: 10.1002/jmri.25130] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2015] [Accepted: 12/01/2015] [Indexed: 11/08/2022] Open
Affiliation(s)
- Manju Liu
- Wayne State University, Department of Biomedical Engineering; Detroit Michigan USA
| | - Saifeng Liu
- MRI Institute for Biomedical Research; Waterloo Ontario Canada
| | - Kiarash Ghassaban
- Wayne State University, Department of Biomedical Engineering; Detroit Michigan USA
| | - Weili Zheng
- HUH-MR Research/Radiology; Wayne State University; Detroit Michigan USA
| | - Dane Dicicco
- MRI Institute for Biomedical Research; Detroit Michigan USA
| | - Yanwei Miao
- Department of Radiology; First Affiliated Hospital; Dalian Liaoning China
| | - Charbel Habib
- HUH-MR Research/Radiology; Wayne State University; Detroit Michigan USA
| | - Tarek Jazmati
- MRI Institute for Biomedical Research; Detroit Michigan USA
| | - E. Mark Haacke
- Wayne State University, Department of Biomedical Engineering; Detroit Michigan USA
- MRI Institute for Biomedical Research; Waterloo Ontario Canada
- HUH-MR Research/Radiology; Wayne State University; Detroit Michigan USA
- MRI Institute for Biomedical Research; Detroit Michigan USA
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288
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Foundations of MRI phase imaging and processing for Quantitative Susceptibility Mapping (QSM). Z Med Phys 2015; 26:6-34. [PMID: 26702760 DOI: 10.1016/j.zemedi.2015.10.002] [Citation(s) in RCA: 79] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2015] [Revised: 09/18/2015] [Accepted: 10/27/2015] [Indexed: 01/27/2023]
Abstract
Quantitative Susceptibility Mapping (QSM) is a novel MRI based technique that relies on estimates of the magnetic field distribution in the tissue under examination. Several sophisticated data processing steps are required to extract the magnetic field distribution from raw MRI phase measurements. The objective of this review article is to provide a general overview and to discuss several underlying assumptions and limitations of the pre-processing steps that need to be applied to MRI phase data before the final field-to-source inversion can be performed. Beginning with the fundamental relation between MRI signal and tissue magnetic susceptibility this review covers the reconstruction of magnetic field maps from multi-channel phase images, background field correction, and provides an overview of state of the art QSM solution strategies.
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289
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Vegh V, O'Brien K, Barth M, Reutens DC. Selective channel combination of MRI signal phase. Magn Reson Med 2015; 76:1469-1477. [PMID: 26744851 DOI: 10.1002/mrm.26057] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2015] [Revised: 10/15/2015] [Accepted: 10/25/2015] [Indexed: 11/12/2022]
Abstract
PURPOSE Signal magnitude can robustly be combined using the sum-of-squares approach. Methods have been developed to combine complex images. However, techniques based only on signal phase have not been developed and evaluated. THEORY AND METHODS We performed simulations to demonstrate the effect of noise on coil combination. 32-channel 7 Tesla human gradient echo MRI brain data were collected. We combined phase images based on phase noise leading to spatially selective and coil selective combination of phase images. We compared our selective combination approach to optimal noise distribution and adaptive combination methods. RESULTS We found that selective combination of signal phases leads to improved phase signal-to-noise ratio. Furthermore, a phase shift can be present in combined phase images introduced by the method used to combine multiple channel phases. CONCLUSION Mapping of signal phase from ultra-high field MRI data undoubtedly provides a wealth of information about the ageing brain and the effects of neurodegenerative disorders. Measurement of signal phase is essential in frequency shift mapping and in quantitative susceptibility mapping. The method used to combine signal phase should be informed by an understanding of the noise distribution in signal phase at the individual channel level. Magn Reson Med 76:1469-1477, 2016. © 2015 International Society for Magnetic Resonance in Medicine.
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Affiliation(s)
- Viktor Vegh
- Centre for Advanced Imaging, University of Queensland, Brisbane, Australia.
| | - Kieran O'Brien
- Siemens Healthcare Australia Pty. Ltd, Brisbane, Australia
| | - Markus Barth
- Centre for Advanced Imaging, University of Queensland, Brisbane, Australia
| | - David C Reutens
- Centre for Advanced Imaging, University of Queensland, Brisbane, Australia
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290
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Appraising the Role of Iron in Brain Aging and Cognition: Promises and Limitations of MRI Methods. Neuropsychol Rev 2015; 25:272-87. [PMID: 26248580 DOI: 10.1007/s11065-015-9292-y] [Citation(s) in RCA: 85] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2015] [Accepted: 07/24/2015] [Indexed: 12/11/2022]
Abstract
Age-related increase in frailty is accompanied by a fundamental shift in cellular iron homeostasis. By promoting oxidative stress, the intracellular accumulation of non-heme iron outside of binding complexes contributes to chronic inflammation and interferes with normal brain metabolism. In the absence of direct non-invasive biomarkers of brain oxidative stress, iron accumulation estimated in vivo may serve as its proxy indicator. Hence, developing reliable in vivo measurements of brain iron content via magnetic resonance imaging (MRI) is of significant interest in human neuroscience. To date, by estimating brain iron content through various MRI methods, significant age differences and age-related increases in iron content of the basal ganglia have been revealed across multiple samples. Less consistent are the findings that pertain to the relationship between elevated brain iron content and systemic indices of vascular and metabolic dysfunction. Only a handful of cross-sectional investigations have linked high iron content in various brain regions and poor performance on assorted cognitive tests. The even fewer longitudinal studies indicate that iron accumulation may precede shrinkage of the basal ganglia and thus predict poor maintenance of cognitive functions. This rapidly developing field will benefit from introduction of higher-field MRI scanners, improvement in iron-sensitive and -specific acquisition sequences and post-processing analytic and computational methods, as well as accumulation of data from long-term longitudinal investigations. This review describes the potential advantages and promises of MRI-based assessment of brain iron, summarizes recent findings and highlights the limitations of the current methodology.
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291
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A cytoarchitecture-driven myelin model reveals area-specific signatures in human primary and secondary areas using ultra-high resolution in-vivo brain MRI. Neuroimage 2015; 114:71-87. [DOI: 10.1016/j.neuroimage.2015.04.023] [Citation(s) in RCA: 100] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2014] [Revised: 04/08/2015] [Accepted: 04/09/2015] [Indexed: 12/27/2022] Open
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292
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Eskreis-Winkler S, Deh K, Gupta A, Liu T, Wisnieff C, Jin M, Gauthier SA, Wang Y, Spincemaille P. Multiple sclerosis lesion geometry in quantitative susceptibility mapping (QSM) and phase imaging. J Magn Reson Imaging 2015; 42:224-9. [PMID: 25174493 PMCID: PMC4733654 DOI: 10.1002/jmri.24745] [Citation(s) in RCA: 42] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2014] [Accepted: 08/14/2014] [Indexed: 11/11/2022] Open
Abstract
PURPOSE To demonstrate the phase and quantitative susceptibility mapping (QSM) patterns created by solid and shell spatial distributions of magnetic susceptibility in multiple sclerosis (MS) lesions. MATERIALS AND METHODS Numerical simulations and experimental phantoms of solid- and shell-shaped magnetic susceptibility sources were used to generate magnitude, phase, and QSM images. Imaging of 20 consecutive MS patients was also reviewed for this Institutional Review Board (IRB)-approved MRI study to identify the appearance of solid and shell lesions on phase and QSM images. RESULTS Solid and shell susceptibility sources were correctly reconstructed in QSM images, while the corresponding phase images depicted both geometries with shell-like patterns, making the underlying susceptibility distribution difficult to determine using phase alone. In MS patients, of the 60 largest lesions identified on T2 , 30 lesions were detected on both QSM and phase, of which 83% were solid and 17% were shells on QSM, and of which 30% were solid and 70% were shell on phase. Of the 21 shell-like lesions on phase, 76% appeared solid on QSM, 24% appeared shell on QSM. Of the five shell-like lesions on QSM, all were shell-like on phase. CONCLUSION QSM accurately depicts both solid and shell patterns of magnetic susceptibility, while phase imaging fails to distinguish them.
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Affiliation(s)
| | - Kofi Deh
- Radiology Department, Weill Cornell Medical College, New York, NY, USA
| | - Ajay Gupta
- Radiology Department, Weill Cornell Medical College, New York, NY, USA
| | - Tian Liu
- Medimagemetric, LLC, New York, NY, USA
| | - Cynthia Wisnieff
- Radiology Department, Weill Cornell Medical College, New York, NY, USA
- Bioengineering Department, Cornell University, Ithaca, NY
| | - Moonsoo Jin
- Bioengineering Department, Cornell University, Ithaca, NY
| | - Susan A. Gauthier
- Neurology Department, Weill Cornell Medical College, New York, NY, USA
| | - Yi Wang
- Radiology Department, Weill Cornell Medical College, New York, NY, USA
- Bioengineering Department, Cornell University, Ithaca, NY
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293
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Mangeat G, Govindarajan ST, Mainero C, Cohen-Adad J. Multivariate combination of magnetization transfer, T2* and B0 orientation to study the myelo-architecture of the in vivo human cortex. Neuroimage 2015; 119:89-102. [PMID: 26095090 DOI: 10.1016/j.neuroimage.2015.06.033] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2015] [Revised: 05/04/2015] [Accepted: 06/11/2015] [Indexed: 12/21/2022] Open
Abstract
Recently, T2* imaging at 7Tesla (T) MRI was shown to reveal microstructural features of the cortical myeloarchitecture thanks to an increase in contrast-to-noise ratio. However, several confounds hamper the specificity of T2* measures (iron content, blood vessels, tissues orientation). Another metric, magnetization transfer ratio (MTR), is known to also be sensitive to myelin content and thus would be an excellent complementary measure because its underlying contrast mechanisms are different than that from T2*. The goal of this study was thus to combine MTR and T2* using multivariate statistics in order to gain insights into cortical myelin content. Seven healthy subjects were scanned at 7T and 3T to obtain T2* and MTR data, respectively. A multivariate myelin estimation model (MMEM) was developed, and consists in (i) normalizing T2* and MTR values and (ii) extracting their shared information using independent component analysis (ICA). B0 orientation dependence and cortical thickness were also computed and included in the model. Results showed high correlation between MTR and T2* in the whole cortex (r=0.76, p<10(-16)), suggesting that both metrics are partly driven by a common source of contrast, here assumed to be the myelin. Average MTR and T2* were respectively 31.0+/-0.3% and 32.1+/-1.4 ms. Results of the MMEM spatial distribution showed similar trends to that from histological work stained for myelin (r=0.77, p<0.01). Significant right-left differences were detected in the primary motor cortex (p<0.05), the posterior cingulate cortex (p<0.05) and the visual cortex (p<0.05). This study demonstrates that MTR and T2* are highly correlated in the cortex. The combination of MTR, T2*, CT and B0 orientation may be a useful means to study cortical myeloarchitecture with more specificity than using any of the individual methods. The MMEM framework is extendable to other contrasts such as T1 and diffusion MRI.
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Affiliation(s)
- G Mangeat
- Neuroimaging Research Laboratory (NeuroPoly), Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada; Athinoula A. Martinos Center for Biomedical Imaging, MGH, Charlestown, MA, USA
| | - S T Govindarajan
- Athinoula A. Martinos Center for Biomedical Imaging, MGH, Charlestown, MA, USA
| | - C Mainero
- Athinoula A. Martinos Center for Biomedical Imaging, MGH, Charlestown, MA, USA; Harvard Medical School, Boston, MA, USA
| | - J Cohen-Adad
- Neuroimaging Research Laboratory (NeuroPoly), Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada; Functional Neuroimaging Unit, CRIUGM, Université de Montréal, Montreal, QC, Canada.
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294
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Li X, Harrison DM, Liu H, Jones CK, Oh J, Calabresi PA, van Zijl PCM. Magnetic susceptibility contrast variations in multiple sclerosis lesions. J Magn Reson Imaging 2015; 43:463-73. [PMID: 26073973 DOI: 10.1002/jmri.24976] [Citation(s) in RCA: 66] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2015] [Revised: 05/29/2015] [Accepted: 06/01/2015] [Indexed: 11/05/2022] Open
Abstract
PURPOSE Recent magnetic resonance imaging (MRI) studies have revealed heterogeneous magnetic susceptibility contrasts in multiple sclerosis (MS) lesions. Due to its sensitivity to disease-related iron and myelin changes, magnetic susceptibility-based measures may better reflect some pathological features of MS lesions. Hence, we sought to characterize MS lesions using combined R2* mapping and quantitative susceptibility mapping (QSM). MATERIALS AND METHODS In all, 306 MS lesions were selected from 24 MS patients who underwent 7T MRI. Maps of R2*, frequency, and quantitative susceptibility were calculated using acquired multiecho gradient echo (GRE) phase data. Lesions were categorized based on their image intensity or their anatomical locations. R2* and susceptibility values were quantified in each lesion based on manually drawn lesion masks and compared between lesion groups showing different contrast patterns. Correlations between R2* and susceptibility were also tested in these lesion groups. RESULTS In 38% of selected lesions the frequency map did not show the same contrast pattern as the susceptibility map. While most lesions (93%) showed hypointensity on R2*, the susceptibility contrast in lesions varied, with 40% being isointense and 58% being hyperintense in the lesion core. Significant correlations (r = 0.31, P < 0.001) between R2* and susceptibility were found in susceptibility hyperintense lesions, but not in susceptibility isointense lesions. In addition, a higher proportion (74%) of periventricular lesions was found to be susceptibility hyperintense as compared to subcortical (53%) or juxtacortical (38%) lesions. CONCLUSION Combining R2* and QSM is useful to characterize heterogeneity in MS lesions.
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Affiliation(s)
- Xu Li
- F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA.,Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Daniel M Harrison
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Hongjun Liu
- F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA.,Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.,Department of Radiology, Guangdong Academy of Medical Sciences, Guangdong General Hospital, Guangzhou, China
| | - Craig K Jones
- F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA.,Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Jiwon Oh
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Peter A Calabresi
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Peter C M van Zijl
- F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA.,Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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295
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Advanced imaging tools to investigate multiple sclerosis pathology. Presse Med 2015; 44:e159-67. [DOI: 10.1016/j.lpm.2015.02.011] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2015] [Accepted: 02/23/2015] [Indexed: 12/26/2022] Open
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296
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Chai C, Yan S, Chu Z, Wang T, Wang L, Zhang M, Zuo C, Haacke EM, Xia S, Shen W. Quantitative measurement of brain iron deposition in patients with haemodialysis using susceptibility mapping. Metab Brain Dis 2015; 30:563-71. [PMID: 25182196 DOI: 10.1007/s11011-014-9608-2] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2014] [Accepted: 08/12/2014] [Indexed: 10/24/2022]
Abstract
To compare the susceptibility of different brain structures in patients with haemodialysis with that in healthy controls using susceptibility mapping and explore the correlations with neuropsychiatric tests and clinical parameters. Fifty three patients with haemodialysis and forty-five age-and sex-matched healthy controls were recruited in this prospective study. Susceptibility maps (SM) were reconstructed from original phase data and used to compare the susceptibility of different brain structures between patients and healthy controls. The SM was compared with iron predictions from a classic cadaver brain study. Spearman's correlation and stepwise multiple regression analysis between susceptibility and neuropsychiatric tests and clinical parameters were calculated. In patients with haemodialysis, the susceptibility of the bilateral caudate head, putamen, substantia nigra, red nucleus and dentate nucleus were significantly higher than those in healthy controls (P < 0.01). There was positive correlation between susceptibility both from normal controls and patients and iron concentration from a classic post-mortem brain study (both r = 0.900, both P = 0.037). In patients with haemodialysis, the susceptibility of the left putamen (r = 0.944), right putamen (r = 0.882) and right thalamus (r = 0.852) were correlated to dialysis duration (all P < 0.05). The susceptibility of the left caudate head (r = -0.415) and right caudate head (r = -0.311) were mildly negatively correlated with neuropsychiatric test scores (all P < 0.05). In summary, our findings indicated that increased brain iron deposition does occur in patients with haemodialysis and correlated with duration of dialysis.
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Affiliation(s)
- Chao Chai
- Department of Medical Imaging, Tianjin First Central Hospital, Tianjin, 300192, China
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297
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Stefanescu MR, Dohnalek M, Maderwald S, Thürling M, Minnerop M, Beck A, Schlamann M, Diedrichsen J, Ladd ME, Timmann D. Structural and functional MRI abnormalities of cerebellar cortex and nuclei in SCA3, SCA6 and Friedreich's ataxia. Brain 2015; 138:1182-97. [PMID: 25818870 DOI: 10.1093/brain/awv064] [Citation(s) in RCA: 84] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2014] [Accepted: 01/21/2015] [Indexed: 02/07/2023] Open
Abstract
Spinocerebellar ataxia type 3, spinocerebellar ataxia type 6 and Friedreich's ataxia are common hereditary ataxias. Different patterns of atrophy of the cerebellar cortex are well known. Data on cerebellar nuclei are sparse. Whereas cerebellar nuclei have long been thought to be preserved in spinocerebellar ataxia type 6, histology shows marked atrophy of the nuclei in Friedreich's ataxia and spinocerebellar ataxia type 3. In the present study susceptibility weighted imaging was used to assess atrophy of the cerebellar nuclei in patients with spinocerebellar ataxia type 6 (n = 12, age range 41-76 years, five female), Friedreich's ataxia (n = 12, age range 21-55 years, seven female), spinocerebellar ataxia type 3 (n = 10, age range 34-67 years, three female), and age- and gender-matched controls (total n = 23, age range 22-75 years, 10 female). T1-weighted magnetic resonance images were used to calculate the volume of the cerebellum. In addition, ultra-high field functional magnetic resonance imaging was performed with optimized normalization methods to assess function of the cerebellar cortex and nuclei during simple hand movements. As expected, the volume of the cerebellum was markedly reduced in spinocerebellar ataxia type 6, preserved in Friedreich's ataxia, and mildy reduced in spinocerebellar ataxia type 3. The volume of the cerebellar nuclei was reduced in the three patient groups compared to matched controls (P-values < 0.05; two-sample t-tests). Atrophy of the cerebellar nuclei was most pronounced in spinocerebellar ataxia type 6. On a functional level, hand-movement-related cerebellar activation was altered in all three disorders. Within the cerebellar cortex, functional magnetic resonance imaging signal was significantly reduced in spinocerebellar ataxia type 6 and Friedreich's ataxia compared to matched controls (P-values < 0.001, bootstrap-corrected cluster-size threshold; two-sample t-tests). The difference missed significance in spinocerebellar ataxia type 3. Within the cerebellar nuclei, reductions were significant when comparing spinocerebellar ataxia type 6 and Friedreich's ataxia to matched controls (P < 0.01, bootstrap-corrected cluster-size threshold; two-sample t-tests). Susceptibility weighted imaging allowed depiction of atrophy of the cerebellar nuclei in patients with Friedreich's ataxia and spinocerebellar ataxia type 3. In spinocerebellar ataxia type 6, pathology was not restricted to the cerebellar cortex but also involved the cerebellar nuclei. Functional magnetic resonance imaging data, on the other hand, revealed that pathology in Friedreich's ataxia and spinocerebellar ataxia type 3 is not restricted to the cerebellar nuclei. There was functional involvement of the cerebellar cortex despite no or little structural changes.
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Affiliation(s)
- Maria R Stefanescu
- 1 Department of Neurology, University of Duisburg-Essen, Essen, Germany 2 Erwin L. Hahn Institute for Magnetic Resonance Imaging, University of Duisburg-Essen, Essen, Germany
| | - Moritz Dohnalek
- 1 Department of Neurology, University of Duisburg-Essen, Essen, Germany
| | - Stefan Maderwald
- 2 Erwin L. Hahn Institute for Magnetic Resonance Imaging, University of Duisburg-Essen, Essen, Germany
| | - Markus Thürling
- 1 Department of Neurology, University of Duisburg-Essen, Essen, Germany 2 Erwin L. Hahn Institute for Magnetic Resonance Imaging, University of Duisburg-Essen, Essen, Germany
| | - Martina Minnerop
- 3 Institute of Neuroscience and Medicine (INM-1), Research Centre Jülich, Jülich, Germany 4 Department of Neurology, University of Bonn, Bonn, Germany
| | - Andreas Beck
- 5 Department of Computer Sciences, University of Düsseldorf, Düsseldorf, Germany
| | - Marc Schlamann
- 6 Department of Diagnostic and Interventional Radiology and Neuroradiology, University of Duisburg-Essen, Essen, Germany
| | - Joern Diedrichsen
- 7 Institute of Cognitive Neuroscience, University College London, London, UK
| | - Mark E Ladd
- 2 Erwin L. Hahn Institute for Magnetic Resonance Imaging, University of Duisburg-Essen, Essen, Germany 6 Department of Diagnostic and Interventional Radiology and Neuroradiology, University of Duisburg-Essen, Essen, Germany 8 Division of Medical Physics in Radiology, University of Heidelberg and German Cancer Research Centre, Heidelberg, Germany
| | - Dagmar Timmann
- 1 Department of Neurology, University of Duisburg-Essen, Essen, Germany
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298
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Murakami Y, Kakeda S, Watanabe K, Ueda I, Ogasawara A, Moriya J, Ide S, Futatsuya K, Sato T, Okada K, Uozumi T, Tsuji S, Liu T, Wang Y, Korogi Y. Usefulness of quantitative susceptibility mapping for the diagnosis of Parkinson disease. AJNR Am J Neuroradiol 2015; 36:1102-8. [PMID: 25767187 DOI: 10.3174/ajnr.a4260] [Citation(s) in RCA: 123] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2014] [Accepted: 11/24/2014] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE Quantitative susceptibility mapping allows overcoming several nonlocal restrictions of susceptibility-weighted and phase imaging and enables quantification of magnetic susceptibility. We compared the diagnostic accuracy of quantitative susceptibility mapping and R2* (1/T2*) mapping to discriminate between patients with Parkinson disease and controls. MATERIALS AND METHODS For 21 patients with Parkinson disease and 21 age- and sex-matched controls, 2 radiologists measured the quantitative susceptibility mapping values and R2* values in 6 brain structures (the thalamus, putamen, caudate nucleus, pallidum, substantia nigra, and red nucleus). RESULTS The quantitative susceptibility mapping values and R2* values of the substantia nigra were significantly higher in patients with Parkinson disease (P < .01); measurements in other brain regions did not differ significantly between patients and controls. For the discrimination of patients with Parkinson disease from controls, receiver operating characteristic analysis suggested that the optimal cutoff values for the substantia nigra, based on the Youden Index, were >0.210 for quantitative susceptibility mapping and >28.8 for R2*. The sensitivity, specificity, and accuracy of quantitative susceptibility mapping were 90% (19 of 21), 86% (18 of 21), and 88% (37 of 42), respectively; for R2* mapping, they were 81% (17 of 21), 52% (11 of 21), and 67% (28 of 42). Pair-wise comparisons showed that the areas under the receiver operating characteristic curves were significantly larger for quantitative susceptibility mapping than for R2* mapping (0.91 versus 0.69, P < .05). CONCLUSIONS Quantitative susceptibility mapping showed higher diagnostic performance than R2* mapping for the discrimination between patients with Parkinson disease and controls.
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Affiliation(s)
- Y Murakami
- From the Departments of Radiology (Y.M., S.K., K.W., I.U., A.O., J.M., S.I., K.F., T.S., Y.K.)
| | - S Kakeda
- From the Departments of Radiology (Y.M., S.K., K.W., I.U., A.O., J.M., S.I., K.F., T.S., Y.K.)
| | - K Watanabe
- From the Departments of Radiology (Y.M., S.K., K.W., I.U., A.O., J.M., S.I., K.F., T.S., Y.K.)
| | - I Ueda
- From the Departments of Radiology (Y.M., S.K., K.W., I.U., A.O., J.M., S.I., K.F., T.S., Y.K.)
| | - A Ogasawara
- From the Departments of Radiology (Y.M., S.K., K.W., I.U., A.O., J.M., S.I., K.F., T.S., Y.K.)
| | - J Moriya
- From the Departments of Radiology (Y.M., S.K., K.W., I.U., A.O., J.M., S.I., K.F., T.S., Y.K.)
| | - S Ide
- From the Departments of Radiology (Y.M., S.K., K.W., I.U., A.O., J.M., S.I., K.F., T.S., Y.K.)
| | - K Futatsuya
- From the Departments of Radiology (Y.M., S.K., K.W., I.U., A.O., J.M., S.I., K.F., T.S., Y.K.)
| | - T Sato
- From the Departments of Radiology (Y.M., S.K., K.W., I.U., A.O., J.M., S.I., K.F., T.S., Y.K.)
| | - K Okada
- Neurology (K.O., T.U., S.T.), University of Occupational and Environmental Health, School of Medicine, Kitakyushu, Japan
| | - T Uozumi
- Neurology (K.O., T.U., S.T.), University of Occupational and Environmental Health, School of Medicine, Kitakyushu, Japan
| | - S Tsuji
- Neurology (K.O., T.U., S.T.), University of Occupational and Environmental Health, School of Medicine, Kitakyushu, Japan
| | - T Liu
- Departments of Biomedical Engineering and Radiology (T.L., Y.W.), Cornell University, New York, New York
| | - Y Wang
- Departments of Biomedical Engineering and Radiology (T.L., Y.W.), Cornell University, New York, New York
| | - Y Korogi
- From the Departments of Radiology (Y.M., S.K., K.W., I.U., A.O., J.M., S.I., K.F., T.S., Y.K.)
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299
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Langkammer C, Bredies K, Poser BA, Barth M, Reishofer G, Fan AP, Bilgic B, Fazekas F, Mainero C, Ropele S. Fast quantitative susceptibility mapping using 3D EPI and total generalized variation. Neuroimage 2015; 111:622-30. [PMID: 25731991 DOI: 10.1016/j.neuroimage.2015.02.041] [Citation(s) in RCA: 137] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2014] [Revised: 02/02/2015] [Accepted: 02/20/2015] [Indexed: 01/21/2023] Open
Abstract
Quantitative susceptibility mapping (QSM) allows new insights into tissue composition and organization by assessing its magnetic property. Previous QSM studies have already demonstrated that magnetic susceptibility is highly sensitive to myelin density and fiber orientation as well as to para- and diamagnetic trace elements. Image resolution in QSM with current approaches is limited by the long acquisition time of 3D scans and the need for high signal to noise ratio (SNR) to solve the dipole inversion problem. We here propose a new total-generalized-variation (TGV) based method for QSM reconstruction, which incorporates individual steps of phase unwrapping, background field removal and dipole inversion in a single iteration, thus yielding a robust solution to the reconstruction problem. This approach has beneficial characteristics for low SNR data, allowing for phase data to be rapidly acquired with a 3D echo planar imaging (EPI) sequence. The proposed method was evaluated with a numerical phantom and in vivo at 3 and 7 T. Compared to total variation (TV), TGV-QSM enforced higher order smoothness which yielded solutions closer to the ground truth and prevented stair-casing artifacts. The acquisition time for images with 1mm isotropic resolution and whole brain coverage was 10s on a clinical 3 Tesla scanner. In conclusion, 3D EPI acquisition combined with single-step TGV reconstruction yields reliable QSM images of the entire brain with 1mm isotropic resolution in seconds. The short acquisition time combined with the robust reconstruction may enable new QSM applications in less compliant populations, clinical susceptibility tensor imaging, and functional resting state examinations.
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Affiliation(s)
- Christian Langkammer
- MGH Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Boston, MA, USA; Department of Neurology, Medical University of Graz, Graz, Austria.
| | - Kristian Bredies
- Institute of Mathematics and Scientific Computing, University of Graz, Graz, Austria
| | - Benedikt A Poser
- Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Markus Barth
- Centre for Advanced Imaging, The University of Queensland, Brisbane, Australia
| | - Gernot Reishofer
- Department of Radiology, Division of Neuroradiology, Medical University of Graz, Graz, Austria
| | - Audrey Peiwen Fan
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA; Lucas Center for Imaging, Stanford University, Stanford, CA, USA
| | - Berkin Bilgic
- MGH Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - Franz Fazekas
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Caterina Mainero
- MGH Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - Stefan Ropele
- Department of Neurology, Medical University of Graz, Graz, Austria
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300
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Barbosa JHO, Santos AC, Tumas V, Liu M, Zheng W, Haacke EM, Salmon CEG. Quantifying brain iron deposition in patients with Parkinson's disease using quantitative susceptibility mapping, R2 and R2. Magn Reson Imaging 2015; 33:559-65. [PMID: 25721997 DOI: 10.1016/j.mri.2015.02.021] [Citation(s) in RCA: 187] [Impact Index Per Article: 20.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2014] [Revised: 08/19/2014] [Accepted: 02/16/2015] [Indexed: 10/24/2022]
Abstract
PURPOSE To evaluate the sensitivity and specificity of quantitative magnetic resonance (MR) iron mapping including R2, R2* and magnetic susceptibility to differentiate patients with Parkinson's disease (PD) from healthy controls. MATERIALS AND METHODS Thirty (30) healthy controls (HC) (64±7years old) and 20 patients with idiopathic PD (66±8years old) were studied using a 3T MR imaging scanner. R2 maps were generated from GRASE sequence while R2*, and quantitative susceptibility mapping (QSM) were obtained from a conventional multi-echo gradient-echo sequence. R2, R2* and relative susceptibility (Δχ) values of structures in the basal ganglia were measured for each patient and control. An analysis of sensitivity and specificity and unpaired t-test was applied to the two groups. RESULTS A significant difference (p<0.05) was found for R2 and ∆χ values in the substantia nigra as a whole and in the pars compacta for PD patients. The R2* values were different significantly (p<0.05) only on the substantia nigra pars compacta. QSM presented the highest sensitivity and specificity to differentiate the two populations. CONCLUSION The QSM map was the most sensitive quantitative technique for detecting a significant increase of iron for PD. The highest significant difference between controls and patients was found in the substantia nigra pars compacta using QSM.
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Affiliation(s)
- Jeam Haroldo Oliveira Barbosa
- Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, University of São Paulo, Ribeirão Preto, São Paulo, Brazil.
| | - Antonio Carlos Santos
- Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
| | - Vitor Tumas
- Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
| | - Manju Liu
- MRI Institute for Biomedical Research, Detroit, MI, United States
| | - Weili Zheng
- MRI Institute for Biomedical Research, Detroit, MI, United States
| | - E Mark Haacke
- MRI Institute for Biomedical Research, Detroit, MI, United States; Wayne State University, Detroit, MI, United States
| | - Carlos Ernesto Garrido Salmon
- Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, University of São Paulo, Ribeirão Preto, São Paulo, Brazil
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