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Varga Z, Keller J, Robinson SD, Serranova T, Nepozitek J, Zogala D, Trnka J, Ruzicka E, Sonka K, Dusek P. Whole brain pattern of iron accumulation in REM sleep behavior disorder. Hum Brain Mapp 2024; 45:e26675. [PMID: 38590155 PMCID: PMC11002348 DOI: 10.1002/hbm.26675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 03/10/2024] [Accepted: 03/21/2024] [Indexed: 04/10/2024] Open
Abstract
Isolated REM sleep behavior disorder (iRBD) is an early stage of synucleinopathy with most patients progressing to Parkinson's disease (PD) or related conditions. Quantitative susceptibility mapping (QSM) in PD has identified pathological iron accumulation in the substantia nigra (SN) and variably also in basal ganglia and cortex. Analyzing whole-brain QSM across iRBD, PD, and healthy controls (HC) may help to ascertain the extent of neurodegeneration in prodromal synucleinopathy. 70 de novo PD patients, 70 iRBD patients, and 60 HCs underwent 3 T MRI. T1 and susceptibility-weighted images were acquired and processed to space standardized QSM. Voxel-based analyses of grey matter magnetic susceptibility differences comparing all groups were performed on the whole brain and upper brainstem levels with the statistical threshold set at family-wise error-corrected p-values <.05. Whole-brain analysis showed increased susceptibility in the bilateral fronto-parietal cortex of iRBD patients compared to both PD and HC. This was not associated with cortical thinning according to the cortical thickness analysis. Compared to iRBD, PD patients had increased susceptibility in the left amygdala and hippocampal region. Upper brainstem analysis revealed increased susceptibility within the bilateral SN for both PD and iRBD compared to HC; changes were located predominantly in nigrosome 1 in the former and nigrosome 2 in the latter group. In the iRBD group, abnormal dopamine transporter SPECT was associated with increased susceptibility in nigrosome 1. iRBD patients display greater fronto-parietal cortex involvement than incidental early-stage PD cohort indicating more widespread subclinical neuropathology. Dopaminergic degeneration in the substantia nigra is paralleled by susceptibility increase, mainly in nigrosome 1.
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Affiliation(s)
- Zsoka Varga
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of MedicineCharles University and General University Hospital in PragueCzech Republic
| | - Jiri Keller
- Radiodiagnostic DepartmentNa Homolce HospitalPragueCzech Republic
| | - Simon Daniel Robinson
- Department of Biomedical Imaging and Image‐guided TherapyMedical University of ViennaAustria
| | - Tereza Serranova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of MedicineCharles University and General University Hospital in PragueCzech Republic
| | - Jiri Nepozitek
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of MedicineCharles University and General University Hospital in PragueCzech Republic
| | - David Zogala
- Department of Nuclear Medicine, First Faculty of MedicineCharles University and General University Hospital in PragueCzech Republic
| | - Jiri Trnka
- Department of Nuclear Medicine, First Faculty of MedicineCharles University and General University Hospital in PragueCzech Republic
| | - Evzen Ruzicka
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of MedicineCharles University and General University Hospital in PragueCzech Republic
| | - Karel Sonka
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of MedicineCharles University and General University Hospital in PragueCzech Republic
| | - Petr Dusek
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of MedicineCharles University and General University Hospital in PragueCzech Republic
- Department of Radiology, First Faculty of MedicineCharles University and General University Hospital in PragueCzech Republic
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Guan X, Lancione M, Ayton S, Dusek P, Langkammer C, Zhang M. Neuroimaging of Parkinson's disease by quantitative susceptibility mapping. Neuroimage 2024; 289:120547. [PMID: 38373677 DOI: 10.1016/j.neuroimage.2024.120547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Revised: 02/02/2024] [Accepted: 02/17/2024] [Indexed: 02/21/2024] Open
Abstract
Parkinson's disease (PD) is a common neurodegenerative disease, and apart from a few rare genetic causes, its pathogenesis remains largely unclear. Recent scientific interest has been captured by the involvement of iron biochemistry and the disruption of iron homeostasis, particularly within the brain regions specifically affected in PD. The advent of Quantitative Susceptibility Mapping (QSM) has enabled non-invasive quantification of brain iron in vivo by MRI, which has contributed to the understanding of iron-associated pathogenesis and has the potential for the development of iron-based biomarkers in PD. This review elucidates the biochemical underpinnings of brain iron accumulation, details advancements in iron-sensitive MRI technologies, and discusses the role of QSM as a biomarker of iron deposition in PD. Despite considerable progress, several challenges impede its clinical application after a decade of QSM studies. The initiation of multi-site research is warranted for developing robust, interpretable, and disease-specific biomarkers for monitoring PD disease progression.
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Affiliation(s)
- Xiaojun Guan
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Joint Laboratory of Clinical Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou 31009, China
| | - Marta Lancione
- Laboratory of Medical Physics and Magnetic Resonance, IRCCS Stella Maris Foundation, Pisa, Italy
| | - Scott Ayton
- Florey Institute, The University of Melbourne, Australia
| | - Petr Dusek
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czechia; Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Auenbruggerplatz 22, Prague 8036, Czechia
| | | | - Minming Zhang
- Department of Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China; Joint Laboratory of Clinical Radiology, the Second Affiliated Hospital, Zhejiang University School of Medicine, No.88 Jiefang Road, Shangcheng District, Hangzhou 31009, China.
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Huddleston DE, Chen X, Hwang K, Langley J, Tripathi R, Tucker K, McKay JL, Hu X, Factor SA. Neuromelanin-sensitive MRI correlates of cognitive and motor function in Parkinson's disease with freezing of gait. FRONTIERS IN DEMENTIA 2023; 2:1215505. [PMID: 39082000 PMCID: PMC11285586 DOI: 10.3389/frdem.2023.1215505] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/02/2023] [Accepted: 07/13/2023] [Indexed: 08/02/2024]
Abstract
Substantia nigra pars compacta (SNc) and locus coeruleus (LC) are neuromelanin-rich nuclei implicated in diverse cognitive and motor processes in normal brain function and disease. However, their roles in aging and neurodegenerative disease mechanisms have remained unclear due to a lack of tools to study them in vivo. Preclinical and post-mortem human investigations indicate that the relationship between tissue neuromelanin content and neurodegeneration is complex. Neuromelanin exhibits both neuroprotective and cytotoxic characteristics, and tissue neuromelanin content varies across the lifespan, exhibiting an inverted U-shaped relationship with age. Neuromelanin-sensitive MRI (NM-MRI) is an emerging modality that allows measurement of neuromelanin-associated contrast in SNc and LC in humans. NM-MRI robustly detects disease effects in these structures in neurodegenerative conditions, including Parkinson's disease (PD). Previous NM-MRI studies of PD have largely focused on detecting disease group effects, but few studies have reported NM-MRI correlations with phenotype. Because neuromelanin dynamics are complex, we hypothesize that they are best interpreted in the context of both disease stage and aging, with neuromelanin loss correlating with symptoms most clearly in advanced stages where neuromelanin loss and neurodegeneration are coupled. We tested this hypothesis using NM-MRI to measure SNc and LC volumes in healthy older adult control individuals and in PD patients with and without freezing of gait (FOG), a severe and disabling PD symptom. We assessed for group differences and correlations between NM-MRI measures and aging, cognition and motor deficits. SNc volume was significantly decreased in PD with FOG compared to controls. SNc volume correlated significantly with motor symptoms and cognitive measures in PD with FOG, but not in PD without FOG. SNc volume correlated significantly with aging in PD. When PD patients were stratified by disease duration, SNc volume correlated with aging, cognition, and motor deficits only in PD with disease duration >5 years. We conclude that in severe or advanced PD, identified by either FOG or disease duration >5 years, the observed correlations between SNc volume and aging, cognition, and motor function may reflect the coupling of neuromelanin loss with neurodegeneration and the associated emergence of a linear relationship between NM-MRI measures and phenotype.
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Affiliation(s)
- Daniel E. Huddleston
- Jean and Paul Amos Parkinson's Disease and Movement Disorder Program, Department of Neurology, Emory University, Atlanta, GA, United States
| | - Xiangchuan Chen
- Jean and Paul Amos Parkinson's Disease and Movement Disorder Program, Department of Neurology, Emory University, Atlanta, GA, United States
| | - Kristy Hwang
- Department of Neurology, University of California, San Diego, La Jolla, CA, United States
| | - Jason Langley
- Center for Advanced Neuroimaging, University of California, Riverside, Riverside, CA, United States
| | - Richa Tripathi
- Jean and Paul Amos Parkinson's Disease and Movement Disorder Program, Department of Neurology, Emory University, Atlanta, GA, United States
| | - Kelsey Tucker
- Jean and Paul Amos Parkinson's Disease and Movement Disorder Program, Department of Neurology, Emory University, Atlanta, GA, United States
| | - J. Lucas McKay
- Jean and Paul Amos Parkinson's Disease and Movement Disorder Program, Department of Neurology, Emory University, Atlanta, GA, United States
- Department of Biomedical Informatics, Emory University, Atlanta, GA, United States
| | - Xiaoping Hu
- Center for Advanced Neuroimaging, University of California, Riverside, Riverside, CA, United States
- Department of Bioengineering, University of California, Riverside, Riverside, CA, United States
| | - Stewart A. Factor
- Jean and Paul Amos Parkinson's Disease and Movement Disorder Program, Department of Neurology, Emory University, Atlanta, GA, United States
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Nepozitek J, Varga Z, Dostalova S, Perinova P, Keller J, Robinson S, Ibarburu V, Prihodova I, Bezdicek O, Ruzicka E, Sonka K, Dusek P. Magnetic susceptibility changes in the brainstem reflect REM sleep without atonia severity in isolated REM sleep behavior disorder. NPJ Parkinsons Dis 2023; 9:112. [PMID: 37452075 PMCID: PMC10349141 DOI: 10.1038/s41531-023-00557-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Accepted: 07/05/2023] [Indexed: 07/18/2023] Open
Abstract
REM sleep without atonia (RWA) is the hallmark of isolated REM sleep behavior disorder (iRBD) and is caused by neurodegeneration of brainstem structures. Previously, quantitative susceptibility mapping (QSM) was shown to detect microstructural tissue changes in neurodegenerative diseases. The goal of the study was to compare brainstem magnetic susceptibility (MS) in iRBD and controls using the voxel-based QSM approach and to examine the association between brainstem MS and severity of RWA in iRBD. Sixty iRBD patients and 41 healthy controls were included in the study. Phasic, tonic, mixed RWA and SINBAR score was quantified. QSM maps were reconstructed with QSMbox software from a multi-gradient-echo sequence acquired at 3T MRI system and normalized using a custom T1 template. Voxel-based analysis with age and gender as covariates was performed using a two-sample t-test model for between-group comparison and using a linear regression model for association with the RWA parameters. Statistical maps were generated using threshold free cluster enhancement with p-value p < 0.05, corrected for family wise error. Compared to controls, the iRBD group had higher MS in bilateral substantia nigra (SN), red nucleus and the ventral tegmental area. MS positively correlated with iRBD duration in the right pedunculotegmental nucleus and white matter of caudal mesencephalic and pontine tegmentum and with phasic RWA in bilateral SN. QSM was able to detect MS abnormalities in several brainstem structures in iRBD. Association of MS levels in the brainstem with the intensity of RWA suggests that increased iron content in SN is related to RWA severity.
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Affiliation(s)
- Jiri Nepozitek
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic.
| | - Zsoka Varga
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Simona Dostalova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Pavla Perinova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Jiri Keller
- Radiodiagnostic Department, Na Homolce Hospital, Prague, Czech Republic
| | - Simon Robinson
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
- Centre of Advanced Imaging, University of Queensland, Brisbane, Queensland, Australia
| | - Veronika Ibarburu
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Iva Prihodova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Ondrej Bezdicek
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Evzen Ruzicka
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Karel Sonka
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Petr Dusek
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
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Ji S, Choi EJ, Sohn B, Baik K, Shin NY, Moon WJ, Park S, Song S, Lee PH, Shin DH, Oh SH, Kim EY, Lee J. Sandwich spatial saturation for neuromelanin-sensitive MRI: Development and multi-center trial. Neuroimage 2022; 264:119706. [PMID: 36349597 DOI: 10.1016/j.neuroimage.2022.119706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 10/09/2022] [Accepted: 10/20/2022] [Indexed: 11/08/2022] Open
Abstract
Neuromelanin (NM)-sensitive MRI using a magnetization transfer (MT)-prepared T1-weighted sequence has been suggested as a tool to visualize NM contents in the brain. In this study, a new NM-sensitive imaging method, sandwichNM, is proposed by utilizing the incidental MT effects of spatial saturation RF pulses in order to generate consistent high-quality NM images using product sequences. The spatial saturation pulses are located both superior and inferior to the imaging volume, increasing MT weighting while avoiding asymmetric MT effects. When the parameters of the spatial saturation were optimized, sandwichNM reported a higher NM contrast ratio than those of conventional NM-sensitive imaging methods with matched parameters for comparability with sandwichNM (SandwichNM: 23.6 ± 5.4%; MT-prepared TSE: 20.6 ± 7.4%; MT-prepared GRE: 17.4 ± 6.0%). In a multi-vendor experiment, the sandwichNM images displayed higher means and lower standard deviations of the NM contrast ratio across subjects in all three vendors (SandwichNM vs. MT-prepared GRE; Vendor A: 28.4 ± 1.5% vs. 24.4 ± 2.8%; Vendor B: 27.2 ± 1.0% vs. 13.3 ± 1.3%; Vendor C: 27.3 ± 0.7% vs. 20.1 ± 0.9%). For each subject, the standard deviations of the NM contrast ratio across the vendors were substantially lower in SandwichNM (SandwichNM vs. MT-prepared GRE; subject 1: 1.5% vs. 8.1%, subject 2: 1.1 % vs. 5.1%, subject 3: 0.9% vs. 4.0%, subject 4: 1.1% vs. 5.3%), demonstrating consistent contrasts across the vendors. The proposed method utilizes product sequences, requiring no alteration of a sequence and, therefore, may have a wide practical utility in exploring the NM imaging.
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Affiliation(s)
- Sooyeon Ji
- Laboratory for Imaging Science and Technology, Department of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea
| | - Eun-Jung Choi
- Laboratory for Imaging Science and Technology, Department of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea
| | - Beomseok Sohn
- Department of Radiology, Severance Hospital, Seoul, Republic of Korea
| | - Kyoungwon Baik
- Department of Radiology, Severance Hospital, Seoul, Republic of Korea
| | - Na-Young Shin
- Department of Radiology, Catholic University of Korea, Seoul, Republic of Korea
| | - Won-Jin Moon
- Department of Radiology, Konkuk University Medical Center, Seoul, Republic of Korea
| | | | | | - Phil Hyu Lee
- Department of Neurology, Severance Hospital, Seoul, Republic of Korea
| | | | - Se-Hong Oh
- Division of Biomedical Engineering, Hankuk University of Foreign Studies, Gyeonggi-do, Republic of Korea
| | - Eung Yeop Kim
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University College of Medicine, Seoul, Republic of Korea.
| | - Jongho Lee
- Laboratory for Imaging Science and Technology, Department of Electrical and Computer Engineering, Seoul National University, Seoul, Republic of Korea.
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Tessema AW, Lee H, Gong Y, Cho H, Adem HM, Lyu I, Lee JH, Cho H. Automated volumetric determination of high R 2 * regions in substantia nigra: A feasibility study of quantifying substantia nigra atrophy in progressive supranuclear palsy. NMR IN BIOMEDICINE 2022; 35:e4795. [PMID: 35775868 DOI: 10.1002/nbm.4795] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 06/26/2022] [Accepted: 06/28/2022] [Indexed: 06/15/2023]
Abstract
The establishment of an unbiased protocol for the automated volumetric measurement of iron-rich regions in the substantia nigra (SN) is clinically important for diagnosing neurodegenerative diseases exhibiting midbrain atrophy, such as progressive supranuclear palsy (PSP). This study aimed to automatically quantify the volume and surface properties of the iron-rich 3D regions in the SN using the quantitative MRI-R2 * map. Three hundred and sixty-seven slices of R2 * map and susceptibility-weighted imaging (SWI) at 3-T MRI from healthy control (HC) individuals and Parkinson's disease (PD) patients were used to train customized U-net++ convolutional neural network based on expert-segmented masks. Age- and sex-matched participants were selected from HC, PD, and PSP groups to automate the volumetric determination of iron-rich areas in the SN. Dice similarity coefficient values between expert-segmented and detected masks from the proposed network were 0.91 ± 0.07 for R2 * maps and 0.89 ± 0.08 for SWI. Reductions in iron-rich SN volume from the R2 * map (SWI) were observed in PSP with area under the receiver operating characteristic curve values of 0.96 (0.89) and 0.98 (0.92) compared with HC and PD, respectively. The mean curvature of the PSP showed SN deformation along the side closer to the red nucleus. We demonstrated the automated volumetric measurement of iron-rich regions in the SN using deep learning can quantify the SN atrophy in PSP compared with PD and HC.
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Affiliation(s)
- Abel Worku Tessema
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea
- School of Biomedical Engineering, Jimma Institute of Technology, Jimma University, Jimma, Ethiopia
| | - Hansol Lee
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, MA, USA
| | - Yelim Gong
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea
| | - Hwapyeong Cho
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea
| | - Hamdia Murad Adem
- School of Biomedical Engineering, Jimma Institute of Technology, Jimma University, Jimma, Ethiopia
| | - Ilwoo Lyu
- Department of Computer Science and Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea
| | - Jae-Hyeok Lee
- Department of Neurology, Research Institute for Convergence of Biomedical Science and Technology, Pusan National University Yangsan Hospital, Yangsan, South Korea
| | - HyungJoon Cho
- Department of Biomedical Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea
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Langley J, Hussain S, Huddleston DE, Bennett IJ, Hu XP. Impact of Locus Coeruleus and Its Projections on Memory and Aging. Brain Connect 2021; 12:223-233. [PMID: 34139886 DOI: 10.1089/brain.2020.0947] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Introduction: Locus coeruleus (LC) is the primary source of norepinephrine to the brain and its efferent projections innervate many brain regions, including the thalamus. The LC degrades with normal aging, but not much is known regarding whether its structural connectivity evolves with age or predicts aspects of cognition. Methods: Here, we use high-resolution diffusion tensor imaging-based tractography to examine structural connectivity between LC and the thalamus in younger and older adults. Results: We found LC projections to be bundled in a fiber tract anatomically consistent with the central tegmental tract (CTT) and branched from this tract into the thalamus. The older cohort exhibited a significant reduction in mean and radial diffusivity within CTT, as compared with the young cohort. We also observed a significant correlation between CTT mean, axial, and radial diffusivities and memory performance (delayed recall) in the older adult cohort. Discussion: These observations suggest that although LC projections degrade with age, the degree of degradation is associated with cognitive abilities in older adults.
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Affiliation(s)
- Jason Langley
- Center for Advanced Neuroimaging and University of California Riverside, Riverside, California, USA
| | - Sana Hussain
- Department of Bioengineering, University of California Riverside, Riverside, California, USA
| | | | - Ilana J Bennett
- Department of Psychology, University of California Riverside, Riverside, California, USA
| | - Xiaoping P Hu
- Center for Advanced Neuroimaging and University of California Riverside, Riverside, California, USA.,Department of Bioengineering, University of California Riverside, Riverside, California, USA
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Aludin S, Schmill LPA. MRI Signs of Parkinson's Disease and Atypical Parkinsonism. ROFO-FORTSCHR RONTG 2021; 193:1403-1410. [PMID: 34034347 DOI: 10.1055/a-1460-8795] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
BACKGROUND Diagnosis of Parkinson's disease and atypical parkinsonism is based on clinical evaluation of the patient's symptoms and on magnetic resonance imaging (MRI) of the brain, which can be supplemented by nuclear medicine techniques. MRI plays a leading role in the differentiation between Parkinson's disease and atypical parkinsonism. While atypical parkinsonism is characterized by relatively specific MRI signs, imaging of Parkinson's disease previously lacked such signs. However, high-field MRI and new optimized MRI sequences now make it possible to define specific MRI signs of Parkinson's disease and have significant potential regarding differentiated imaging, early diagnosis, and imaging of disease progression. METHODS PubMed was selectively searched for literature regarding the definition and discussion of specific MRI signs of Parkinson's disease, as well as the most common types of atypical parkinsonism with a leading motor component. No time frame was set, but the search was particularly focused on current literature. RESULTS This review article discusses the different MRI signs of Parkinson's disease, multiple system atrophy, and progressive supranuclear palsy. The pathogenesis of the MRI signs is described, and imaging examples are given. The technical aspects of image acquisition are briefly defined, and the different signs are discussed and compared with regard to their diagnostic significance according to current literature. CONCLUSION The MRI signs of Parkinson's disease, which can be defined with high-field MRI and new optimized MRI sequences, enable differentiated structural image interpretation and consecutive diagnostic workup. Despite the fact that the signs are in need of further validation by bigger studies, they have the potential to achieve significant diagnostic relevance regarding the imaging of Parkinson's disease and atypical parkinsonism. KEY POINTS · High-field MRI and specialized sequences make it possible to define specific MRI signs for neurodegenerative disorders. · Cerebral alterations can be detected in prodromal stages of Parkinson's disease. · The combination of specific MRI signs makes it possible to differentiate between Parkinson's disease and atypical parkinsonism. CITATION FORMAT · Aludin S, Schmill LA. MRI Signs of Parkinson's Disease and Atypical Parkinsonism. Fortschr Röntgenstr 2021; DOI: 10.1055/a-1460-8795.
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Affiliation(s)
- Schekeb Aludin
- Clinic for Radiology and Neuroradiology, University Hospital Schleswig-Holstein - Campus Kiel, Germany
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9
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Langley J, Huddleston DE, Crosson B, Song DD, Factor SA, Hu X. Multimodal assessment of nigrosomal degeneration in Parkinson's disease. Parkinsonism Relat Disord 2020; 80:102-107. [PMID: 32979784 DOI: 10.1016/j.parkreldis.2020.09.021] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 08/31/2020] [Accepted: 09/14/2020] [Indexed: 11/26/2022]
Abstract
BACKGROUND Approximately forty percent of all dopaminergic neurons in SNpc are located in five dense neuronal clusters, named nigrosomes. T2- or T2*-weighted images are used to delineate the largest nigrosome, named nigrosome-1. In these images, nigrosome-1 is a hyperintense region in the caudal and dorsal portion of the T2- or T2*-weighted substantia nigra. In PD, nigrosome-1 experiences iron accumulation, which leads to a reduction in T2-weighted hyperintensity. Here, we examine neuromelanin-depletion and iron deposition in regions of interest (ROIs) derived from quantitative-voxel based morphometry (qVBM) on neuromelanin-sensitive images and compare the ROIs with nigrosome-1 identified in T2*-weighted images. METHODS Neuromelanin-sensitive and multi-echo gradient echo imaging data were obtained. R2* was calculated from multi-echo gradient echo imaging data. qVBM analysis was performed on neuromelanin-sensitive images and restricted to SNpc. Mean neuromelanin-sensitive contrast and R2* was measured from the resulting qVBM clusters. Nigrosome-1 was segmented in T2*-weighted images of control subjects and its location was compared to the spatial location of the qVBM clusters. RESULTS Two bilateral clusters emerged from the qVBM analysis. These clusters showed reduced neuromelanin-sensitive contrast and increased mean R2* in PD as compared to controls. Cluster-1 from the qVBM analysis was in a similar spatial location as nigrosome-1, as seen in T2*-weighted images. CONCLUSION qVBM cluster-1 shows reduced neuromelanin-sensitive contrast and is in a similar spatial position as nigrosome-1. This region likely corresponds to nigrosome-1 while the second cluster may correspond to nigrosome-2.
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Affiliation(s)
- Jason Langley
- Center for Advanced Neuroimaging, University of California, Riverside, Riverside, CA, USA
| | | | - Bruce Crosson
- Department of Neurology, Emory University, Atlanta, GA, USA; Department of Veterans Affairs Center for Visual and Neurocognitive Rehabilitation, Atlanta Veterans Affairs Medical Center, Decatur, GA, USA; Department of Psychology, Georgia State University, Atlanta, GA, USA
| | - David D Song
- Department of Neurosciences, University of California, Riverside, Riverside, CA, USA
| | | | - Xiaoping Hu
- Center for Advanced Neuroimaging, University of California, Riverside, Riverside, CA, USA; Department of Bioengineering, University of California, Riverside, Riverside, CA, USA.
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10
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He N, Langley J, Huddleston DE, Chen S, Huang P, Ling H, Yan F, Hu X. Increased iron-deposition in lateral-ventral substantia nigra pars compacta: A promising neuroimaging marker for Parkinson's disease. Neuroimage Clin 2020; 28:102391. [PMID: 32889398 PMCID: PMC7479276 DOI: 10.1016/j.nicl.2020.102391] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Revised: 07/09/2020] [Accepted: 08/17/2020] [Indexed: 12/12/2022]
Abstract
BACKGROUND To date there are no validated MRI biomarkers to assist diagnosis of Parkinson's disease (PD). Our aim was to investigate PD related iron changes in the substantia nigra pars compacta (SNpc) as defined by neuromelanin-sensitive MR contrast. METHODS Thirty-nine PD participants and 33 healthy controls were scanned at 3.0-T using a 16-echo gradient echo sequence to create R2* maps for the evaluation of iron content to find the overlap with a neuromelanin based SNpc mask. The SNpc overlap percentage with the R2* map, and the R2* values in both the whole SNpc and the overlap volume were compared between PD and control groups, and correlated with clinical features for PD participants. Finally, the diagnostic performance of the SNpc overlap percentage was evaluated using ROC analysis. RESULTS PD related iron changes mostly occur in the lateral-ventral part of the neuromelanin SNpc. The R2* values in the whole SNpc and the SNpc overlap volume, and the SNpc overlap percentage were larger in PD participants than in controls. Furthermore, the SNpc overlap percentage was positively correlated with the disease duration in PD. The SNpc overlap percentage provided excellent diagnostic accuracy for discriminating PD participants from controls (AUC = 0.93), while the R2* values in the whole SNpc or the overlap volume were less effective. CONCLUSION The overlap between the iron content as determined by R2* mapping and neuromelanin in the substantia nigra pars compacta has the potential to be a neuroimaging biomarker for diagnosing Parkinson's disease.
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Affiliation(s)
- Naying He
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Jason Langley
- Center for Advanced Neuroimaging, University of California, Riverside, CA, USA
| | - Daniel E Huddleston
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Shengdi Chen
- Department of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Pei Huang
- Department of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Huawei Ling
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Fuhua Yan
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China.
| | - Xiaoping Hu
- Center for Advanced Neuroimaging, University of California, Riverside, CA, USA; Department of Bioengineering, University of California, Riverside, CA, USA.
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Trifonova OP, Maslov DL, Balashova EE, Urazgildeeva GR, Abaimov DA, Fedotova EY, Poleschuk VV, Illarioshkin SN, Lokhov PG. Parkinson's Disease: Available Clinical and Promising Omics Tests for Diagnostics, Disease Risk Assessment, and Pharmacotherapy Personalization. Diagnostics (Basel) 2020; 10:E339. [PMID: 32466249 PMCID: PMC7277996 DOI: 10.3390/diagnostics10050339] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 05/21/2020] [Accepted: 05/22/2020] [Indexed: 12/15/2022] Open
Abstract
Parkinson's disease is the second most frequent neurodegenerative disease, representing a significant medical and socio-economic problem. Modern medicine still has no answer to the question of why Parkinson's disease develops and whether it is possible to develop an effective system of prevention. Therefore, active work is currently underway to find ways to assess the risks of the disease, as well as a means to extend the life of patients and improve its quality. Modern studies aim to create a method of assessing the risk of occurrence of Parkinson's disease (PD), to search for the specific ways of correction of biochemical disorders occurring in the prodromal stage of Parkinson's disease, and to personalize approaches to antiparkinsonian pharmacotherapy. In this review, we summarized all available clinically approved tests and techniques for PD diagnostics. Then, we reviewed major improvements and recent advancements in genomics, transcriptomics, and proteomics studies and application of metabolomics in PD research, and discussed the major metabolomics findings for diagnostics and therapy of the disease.
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Affiliation(s)
- Oxana P. Trifonova
- Laboratory of mass spectrometry-based metabolomics diagnostics, Institute of Biomedical Chemistry, 10 building 8, Pogodinskaya street, 119121 Moscow, Russia; (D.L.M.); (E.E.B.); (P.G.L.)
| | - Dmitri L. Maslov
- Laboratory of mass spectrometry-based metabolomics diagnostics, Institute of Biomedical Chemistry, 10 building 8, Pogodinskaya street, 119121 Moscow, Russia; (D.L.M.); (E.E.B.); (P.G.L.)
| | - Elena E. Balashova
- Laboratory of mass spectrometry-based metabolomics diagnostics, Institute of Biomedical Chemistry, 10 building 8, Pogodinskaya street, 119121 Moscow, Russia; (D.L.M.); (E.E.B.); (P.G.L.)
| | - Guzel R. Urazgildeeva
- 5th Neurological Department (Department of Neurogenetics), Research Centre of Neurology, Volokolamskoe shosse, 80, 125367 Moscow, Russia; (G.R.U.); (D.A.A.); (E.Y.F.); (V.V.P.); (S.N.I.)
| | - Denis A. Abaimov
- 5th Neurological Department (Department of Neurogenetics), Research Centre of Neurology, Volokolamskoe shosse, 80, 125367 Moscow, Russia; (G.R.U.); (D.A.A.); (E.Y.F.); (V.V.P.); (S.N.I.)
| | - Ekaterina Yu. Fedotova
- 5th Neurological Department (Department of Neurogenetics), Research Centre of Neurology, Volokolamskoe shosse, 80, 125367 Moscow, Russia; (G.R.U.); (D.A.A.); (E.Y.F.); (V.V.P.); (S.N.I.)
| | - Vsevolod V. Poleschuk
- 5th Neurological Department (Department of Neurogenetics), Research Centre of Neurology, Volokolamskoe shosse, 80, 125367 Moscow, Russia; (G.R.U.); (D.A.A.); (E.Y.F.); (V.V.P.); (S.N.I.)
| | - Sergey N. Illarioshkin
- 5th Neurological Department (Department of Neurogenetics), Research Centre of Neurology, Volokolamskoe shosse, 80, 125367 Moscow, Russia; (G.R.U.); (D.A.A.); (E.Y.F.); (V.V.P.); (S.N.I.)
| | - Petr G. Lokhov
- Laboratory of mass spectrometry-based metabolomics diagnostics, Institute of Biomedical Chemistry, 10 building 8, Pogodinskaya street, 119121 Moscow, Russia; (D.L.M.); (E.E.B.); (P.G.L.)
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12
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Deep Gray Matter Iron Content in Neuromyelitis Optica and Multiple Sclerosis. BIOMED RESEARCH INTERNATIONAL 2020; 2020:6492786. [PMID: 32509866 PMCID: PMC7254083 DOI: 10.1155/2020/6492786] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Accepted: 04/29/2020] [Indexed: 12/14/2022]
Abstract
Background Neuromyelitis optica (NMO) and multiple sclerosis (MS) are often presenting with overlapping symptoms. The aim of this study was to determine whether and how NMO and MS differ regarding cerebral iron deposits in deep gray matter (DGM) and the correlation between iron deposition and clinical severity as well as to regional atrophy of the DGM. Methods We analyzed 20 patients with NMO, 40 patients with a relapsing-remitting (RR) form of MS, and 20 healthy controls with 1.5T MRI. Quantitative susceptibility mapping (QSM) was performed to estimate iron concentration in the DGM. Results Patients with NMO have higher magnetic susceptibility values in the substantia nigra compared to healthy controls. RRMS patients have lower magnetic susceptibility values in the thalamus compared to healthy controls and NMO patients. Atrophy of the thalamus, pulvinar, and putamen is significant both in RRMS compared to NMO patients and healthy controls. A correlation was found between the disability score (EDSS) and magnetic susceptibility in the putamen in RRMS. Conclusions This study confirms that a disturbed cerebral iron homeostasis in patients with NMO occurs in different structures than in patients with RRMS. Increased magnetic susceptibility in substantia nigra in NMO and decreased magnetic susceptibility within the thalamus in RRMS were the only significant differences in the study sample. We could confirm that iron concentration in the thalami is decreased in RRMS compared to that in the HC group. Positive association was found between putaminal iron and EDSS in RRMS.
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Naji N, Sun H, Wilman AH. On the value of QSM from MPRAGE for segmenting and quantifying iron‐rich deep gray matter. Magn Reson Med 2020; 84:1486-1500. [DOI: 10.1002/mrm.28226] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Revised: 01/20/2020] [Accepted: 02/03/2020] [Indexed: 01/10/2023]
Affiliation(s)
- Nashwan Naji
- Department of Biomedical Engineering University of Alberta Edmonton Alberta Canada
| | - Hongfu Sun
- School of Information Technology and Electrical Engineering University of Queensland Brisbane Queensland Australia
| | - Alan H. Wilman
- Department of Biomedical Engineering University of Alberta Edmonton Alberta Canada
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Langley J, Hussain S, Flores JJ, Bennett IJ, Hu X. Characterization of age-related microstructural changes in locus coeruleus and substantia nigra pars compacta. Neurobiol Aging 2019; 87:89-97. [PMID: 31870645 DOI: 10.1016/j.neurobiolaging.2019.11.016] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2019] [Revised: 11/19/2019] [Accepted: 11/22/2019] [Indexed: 12/15/2022]
Abstract
Locus coeruleus (LC) and substantia nigra pars compacta (SNpc) degrade with normal aging, but not much is known regarding how these changes manifest in MRI images, or whether these markers predict aspects of cognition. Here, we use high-resolution diffusion-weighted MRI to investigate microstructural and compositional changes in LC and SNpc in young and older adult cohorts, as well as their relationship with cognition. In LC, the older cohort exhibited a significant reduction in mean and radial diffusivity, but a significant increase in fractional anisotropy compared with the young cohort. We observed a significant correlation between the decrease in LC mean, axial, and radial diffusivities and measures examining cognition (Rey Auditory Verbal Learning Test delayed recall) in the older adult cohort. This observation suggests that LC is involved in retaining cognitive abilities. In addition, we observed that iron deposition in SNpc occurs early in life and continues during normal aging.
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Affiliation(s)
- Jason Langley
- Center for Advanced Neuroimaging, University of California Riverside, Riverside, CA, USA
| | - Sana Hussain
- Department of Bioengineering, University of California Riverside, Riverside, CA, USA
| | - Justino J Flores
- Department of Psychology, University of California Riverside, Riverside, CA, USA
| | - Ilana J Bennett
- Department of Psychology, University of California Riverside, Riverside, CA, USA
| | - Xiaoping Hu
- Center for Advanced Neuroimaging, University of California Riverside, Riverside, CA, USA; Department of Bioengineering, University of California Riverside, Riverside, CA, USA.
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15
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Langley J, He N, Huddleston DE, Chen S, Yan F, Crosson B, Factor S, Hu X. Reproducible detection of nigral iron deposition in 2 Parkinson's disease cohorts. Mov Disord 2019; 34:416-419. [PMID: 30597635 PMCID: PMC6608731 DOI: 10.1002/mds.27608] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Revised: 11/21/2018] [Accepted: 12/03/2018] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND Previous studies investigating nigral iron accumulation used T2 or T2 *-weighted contrasts to define the regions of interest (ROIs) in the substantia nigra with mixed results. Because these contrasts are not sensitive to neuromelanin, ROIs may have inadvertently missed the SNpc. An approach sensitive to neuromelanin should yield consistent results. We examine iron deposition in ROIs derived from neuromelanin-sensitive and T2 *-weighted contrasts, respectively. METHODS T1 -weighted and multiecho gradient echo imaging data were obtained in 2 cohorts. Multiecho gradient echo imaging data were analyzed using neuromelanin-sensitive SNpc ROIs as well as T2 *-weighted SNr ROIs. RESULTS When compared with controls, significantly larger R2 * values were seen in the SNpc of PD patients in both cohorts. Mean R2 * values in the SNr of PD patients showed no consistency, with 1 cohort showing a small, statistically significant increase, whereas the other cohort exhibited no statistical difference. CONCLUSION Mean R2 * in the SNpc defined by neuromelanin-sensitive MRI is significantly increased in PD. © 2018 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Jason Langley
- Center for Advanced Neuroimaging, University of California, Riverside, Riverside, CA
| | - Naying He
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | | | - Shengdi Chen
- Department of Neurology and Institute of Neurology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Fuhua Yan
- Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Bruce Crosson
- Department of Neurology, Emory University, Atlanta, GA
- Department of Veterans Affairs Center for Visual and Neurocognitive Rehabilitation, Atlanta Veterans Affairs Medical Center, Decatur, GA, USA
- Department of Psychology, Georgia State University, Atlanta, GA, USA
| | | | - Xiaoping Hu
- Center for Advanced Neuroimaging, University of California, Riverside, Riverside, CA
- Department of Bioengineering, University of California, Riverside, Riverside, CA
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Xing Y, Sapuan A, Dineen RA, Auer DP. Life span pigmentation changes of the substantia nigra detected by neuromelanin-sensitive MRI. Mov Disord 2018; 33:1792-1799. [PMID: 30423212 PMCID: PMC6659388 DOI: 10.1002/mds.27502] [Citation(s) in RCA: 63] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2018] [Revised: 07/12/2018] [Accepted: 08/08/2018] [Indexed: 12/28/2022] Open
Abstract
Background: Neuromelanin is a pigment with strong iron‐chelating properties preferentially found in dopaminergic neurons of the substantia nigra pars compacta (SNpc). Parkinson's disease is characterized by pronounced, MRI‐detectable neuromelanin loss, but the neuroprotective or neurotoxic role of neuromelanin remains debated. Histological studies have demonstrated neuromelanin increases with age, but this has not been confirmed in vivo, and there is uncertainty whether neuromelanin declines, stabilizes, or increases from middle age. Methods: This study aimed to establish physiological changes of pigmentation of the SNpc using a pooled data set of neuromelanin‐sensitive 3T MRI from 134 healthy individuals aged 5‐83 years. Neuromelanin‐related brightness (regional contrast to ratio) and calibrated hyperintense volumes were analyzed using linear and nonlinear regression models to characterize age effects. Laterality, sex, and subregional effects were also assessed. Results: For brightness, age effects were best described as a quadratic trajectory explaining 81.5% of the observed variance in the SNpc showing a strong increase from childhood to adolescence, with plateauing in middle age and a decline in older age. Similar but less pronounced effects were seen in hyperintense volumes. We also show an anterior‐posterior gradient in SNpc contrast, larger normalized neuromelanin‐rich volume in women > 47 years old, but no laterality effect. Conclusions: Using optimized neuromelanin MRI in a life span sample, we demonstrate a strong age effect with inverted U‐shaped SNpc pigmentation‐related contrast from childhood to old age. This age trajectory of physiological SNpc pigmentation needs to be taken into account for diagnostic applications of depigmentation. The study also paves the way for systematic investigations of the mechanisms of neuromelanin in healthy and pathological brain development and aging. © 2018 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Yue Xing
- Radiological Sciences, Division of Clinical Neuroscience, School of Medicine, University of Nottingham, Nottingham, UK.,Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, UK
| | - Abdul Sapuan
- Radiological Sciences, Division of Clinical Neuroscience, School of Medicine, University of Nottingham, Nottingham, UK.,Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, UK
| | - Rob A Dineen
- Radiological Sciences, Division of Clinical Neuroscience, School of Medicine, University of Nottingham, Nottingham, UK.,Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, UK.,Nottingham NIHR Biomedical Research Centre, Nottingham, UK
| | - Dorothee P Auer
- Radiological Sciences, Division of Clinical Neuroscience, School of Medicine, University of Nottingham, Nottingham, UK.,Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, UK.,Nottingham NIHR Biomedical Research Centre, Nottingham, UK
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