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Li G, Tong R, Zhang M, Gillen KM, Jiang W, Du Y, Wang Y, Li J. Age-dependent changes in brain iron deposition and volume in deep gray matter nuclei using quantitative susceptibility mapping. Neuroimage 2023; 269:119923. [PMID: 36739101 DOI: 10.1016/j.neuroimage.2023.119923] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 01/10/2023] [Accepted: 02/01/2023] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Microstructural changes in deep gray matter (DGM) nuclei are related to physiological behavior, cognition, and memory. Therefore, it is critical to study age-dependent trajectories of biomarkers in DGM nuclei for understanding brain development and aging, as well as predicting cognitive or neurodegenerative diseases. OBJECTIVES We aimed to (1) characterize age-dependent trajectories of mean susceptibility, adjusted volume, and total iron content simultaneously in DGM nuclei using quantitative susceptibility mapping (QSM); (2) examine potential contributions of sex related effects to the different age-dependence trajectories of volume and iron deposition; and (3) evaluate the ability of brain age prediction by combining mean magnetic susceptibility and volume of DGM nuclei. METHODS Magnetic susceptibilities and volumetric values of DGM nuclei were obtained from 220 healthy participants (aged 10-70 years) scanned on a 3T MRI system. Regions of interest (ROIs) were drawn manually on the QSM images. Univariate regression analysis between age and each of the MRI measurements in a single ROI was performed. Pearson correlation coefficients were calculated between magnetic susceptibility and adjusted volume in a single ROI. The statistical significance of sex differences in age-dependent trajectories of magnetic susceptibilities and adjusted volumes were determined using one-way ANCOVA. Multiple regression analysis was used to evaluate the ability to estimate brain age using a combination of the mean susceptibilities and adjusted volumes in multiple DGM nuclei. RESULTS Mean susceptibility and total iron content increased linearly, quadratically, or exponentially with age in all six DGM nuclei. Negative linear correlation was observed between adjusted volume and age in the head of the caudate nucleus (CN; R2 = 0.196, p < 0.001). Quadratic relationships were found between adjusted volume and age in the putamen (PUT; R2 = 0.335, p < 0.001), globus pallidus (GP; R2 = 0.062, p = 0.001), and dentate nucleus (DN; R2 = 0.077, p < 0.001). Males had higher mean magnetic susceptibility than females in the PUT (p = 0.001), red nucleus (RN; p = 0.002), and substantia nigra (SN; p < 0.001). Adjusted volumes of the CN (p < 0.001), PUT (p = 0.030), GP (p = 0.007), SN (p = 0.021), and DN (p < 0.001) were higher in females than those in males throughout the entire age range (10-70 years old). The total iron content of females was higher than that of males in the CN (p < 0.001), but lower than that of males in the PUT (p = 0.014) and RN (p = 0.043) throughout the entire age range (10-70 years old). Multiple regression analyses revealed that the combination of the mean susceptibility value of the PUT, and the volumes of the CN and PUT had the strongest associations with brain age (R2 = 0.586). CONCLUSIONS QSM can be used to simultaneously investigate age- and sex- dependent changes in magnetic susceptibility and volume of DGM nuclei, thus enabling a comprehensive understanding of the developmental trajectories of iron accumulation and volume in DGM nuclei during brain development and aging.
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Affiliation(s)
- Gaiying Li
- Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, 3663 North Zhongshan Road, Shanghai, China 200062
| | - Rui Tong
- Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, 3663 North Zhongshan Road, Shanghai, China 200062
| | - Miao Zhang
- Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, 3663 North Zhongshan Road, Shanghai, China 200062
| | - Kelly M Gillen
- Department of Radiology, Weill Medical College of Cornell University, 407 East 61st St., New York, New York, United States 10065
| | - Wenqing Jiang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wanping Road, Shanghai, China 200030
| | - Yasong Du
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wanping Road, Shanghai, China 200030
| | - Yi Wang
- Department of Radiology, Weill Medical College of Cornell University, 407 East 61st St., New York, New York, United States 10065
| | - Jianqi Li
- Shanghai Key Laboratory of Magnetic Resonance, School of Physics and Electronic Science, East China Normal University, 3663 North Zhongshan Road, Shanghai, China 200062; Institute of Brain and Education Innovation, East China Normal University, 3663 North Zhongshan Road, Shanghai, China 200062.
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2
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Alvarez-Sanchez N, Dunn SE. Potential biological contributers to the sex difference in multiple sclerosis progression. Front Immunol 2023; 14:1175874. [PMID: 37122747 PMCID: PMC10140530 DOI: 10.3389/fimmu.2023.1175874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 04/03/2023] [Indexed: 05/02/2023] Open
Abstract
Multiple sclerosis (MS) is an immune-mediated disease that targets the myelin sheath of central nervous system (CNS) neurons leading to axon injury, neuronal death, and neurological progression. Though women are more highly susceptible to developing MS, men that develop this disease exhibit greater cognitive impairment and accumulate disability more rapidly than women. Magnetic resonance imaging and pathology studies have revealed that the greater neurological progression seen in males correlates with chronic immune activation and increased iron accumulation at the rims of chronic white matter lesions as well as more intensive whole brain and grey matter atrophy and axon loss. Studies in humans and in animal models of MS suggest that male aged microglia do not have a higher propensity for inflammation, but may become more re-active at the rim of white matter lesions as a result of the presence of pro-inflammatory T cells, greater astrocyte activation or iron release from oligodendrocytes in the males. There is also evidence that remyelination is more efficient in aged female than aged male rodents and that male neurons are more susceptible to oxidative and nitrosative stress. Both sex chromosome complement and sex hormones contribute to these sex differences in biology.
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Affiliation(s)
- Nuria Alvarez-Sanchez
- Keenan Research Centre for Biomedical Science, St. Michael’s Hospital, Toronto, ON, Canada
- Department of Immunology, 1 King’s College Circle, Toronto, ON, Canada
| | - Shannon E. Dunn
- Keenan Research Centre for Biomedical Science, St. Michael’s Hospital, Toronto, ON, Canada
- Department of Immunology, 1 King’s College Circle, Toronto, ON, Canada
- Women's College Research Institute, Women's College Hospital, Toronto, ON, Canada
- *Correspondence: Shannon E. Dunn,
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3
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Holz TG, Kunzler FA, Carra Forte G, Miranda Difini JP, Bernardi Soder R, Watte G, Hochhegger B. In vivo brain iron concentration in healthy individuals at 3.0 T magnetic resonance imaging: a prospective cross-sectional study. Br J Radiol 2022; 95:20210809. [PMID: 35119909 PMCID: PMC10993970 DOI: 10.1259/bjr.20210809] [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: 07/05/2021] [Revised: 11/01/2021] [Accepted: 01/17/2022] [Indexed: 11/05/2022] Open
Abstract
OBJECTIVE To quantify iron deposits in the basal ganglia and to evaluate its relation to age, sex, body mass index and brain laterality. METHODS Prospective observational study. Data were collected from the patients' electronic medical records. The concentration of iron deposits in the brain was assessed using whole-brain MRI at 3.0 Tesla. RESULTS 138 participants were selected, 69.6% were female and the mean age was 47 ± 19 years. The κ coefficient was very strong (k = 0.92, p < 0.001). Age showed a moderate correlation between iron deposits in the caudate and putamen nuclei, on both right and left sides. In overall and right-handed individuals, a significantly higher iron concentration was observed on the left side for the caudate nucleus, putamen, thalamus, globus pallidus, and centrum semiovale, and for left-handed individuals, it was also observed in the left side-for the putamen and centrum semiovale. A weak correlation was shown between body mass index and left and right substantia nigra, left caudate nuclei, left putamen and right globus pallidus. CONCLUSION Our results showed a significantly higher iron deposit on the left side in most brain regions. In addition, the body mass index may also be related to iron overload, especially in the caudate nucleus. ADVANCES IN KNOWLEDGE Brain iron deposits may be normal, owing to aging, or be pathological, such as neurodegeneration. Thus, it is important to know how much is expected of iron deposition in the brain of healthy populations.
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Affiliation(s)
- Tiago Garcia Holz
- School of Medicine, Graduate Program in Medicine and Health
Sciences, Pontifical Catholic University of Rio Grande do
Sul, Porto Alegre,
Brazil
| | - Felipe Augusto Kunzler
- School of Medicine, Graduate Program in Medicine and Health
Sciences, Pontifical Catholic University of Rio Grande do
Sul, Porto Alegre,
Brazil
| | - Gabriele Carra Forte
- School of Medicine, Graduate Program in Medicine and Health
Sciences, Pontifical Catholic University of Rio Grande do
Sul, Porto Alegre,
Brazil
| | - João Pedro Miranda Difini
- School of Medicine, Graduate Program in Medicine and Health
Sciences, Pontifical Catholic University of Rio Grande do
Sul, Porto Alegre,
Brazil
| | - Ricardo Bernardi Soder
- School of Medicine, Graduate Program in Medicine and Health
Sciences, Pontifical Catholic University of Rio Grande do
Sul, Porto Alegre,
Brazil
| | - Guilherme Watte
- School of Medicine, Graduate Program in Medicine and Health
Sciences, Pontifical Catholic University of Rio Grande do
Sul, Porto Alegre,
Brazil
| | - Bruno Hochhegger
- School of Medicine, Graduate Program in Medicine and Health
Sciences, Pontifical Catholic University of Rio Grande do
Sul, Porto Alegre,
Brazil
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4
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Burgetova R, Dusek P, Burgetova A, Pudlac A, Vaneckova M, Horakova D, Krasensky J, Varga Z, Lambert L. Age-related magnetic susceptibility changes in deep grey matter and cerebral cortex of normal young and middle-aged adults depicted by whole brain analysis. Quant Imaging Med Surg 2021; 11:3906-3919. [PMID: 34476177 DOI: 10.21037/qims-21-87] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Accepted: 04/19/2021] [Indexed: 12/31/2022]
Abstract
Background Iron accumulates in brain tissue in healthy subjects during aging. Our goal was to conduct a detailed analysis of iron deposition patterns in the cerebral deep grey matter and cortex using region-based and whole-brain analyses of brain magnetic susceptibility. Methods Brain MRI was performed in 95 healthy individuals aged between 21 and 58 years on a 3T scanner. MRI protocol included T1-weighted (T1W) magnetization-prepared rapid acquisition with gradient echo images and 3D flow-compensated multi-echo gradient-echo images for quantitative susceptibility mapping (QSM). In the region-based analysis, QSM and T1W images entered an automated multi-atlas segmentation pipeline and regional mean bulk susceptibility values were calculated. The whole-brain analysis included a non-linear transformation of QSM images to the standard MNI template. For the whole-brain analysis voxel-wise maps of linear regression slopes β and P values were calculated. Regional masks of cortical voxels with a significant association between susceptibility and age were created and further analyzed. Results In cortical regions, the highest increase of susceptibility values with age was found in areas involved in motor functions (precentral and postcentral areas, premotor cortex), in cognitive processing (prefrontal cortex, superior temporal gyrus, insula, precuneus), and visual processing (occipital gyri, cuneus, posterior cingulum, fusiform, calcarine and lingual gyrus). Thalamic susceptibility increased until the fourth decade and decreased thereafter with the exception of the pulvinar where susceptibility increase was observed throughout the adult lifespan. Deep grey matter structures with the highest increase of susceptibility values with age included the red nucleus, putamen, substantia nigra, dentate nucleus, external globus pallidus, caudate nucleus, and the subthalamic nucleus in decreasing order. Conclusions Accumulation of iron in basal ganglia follows a linear pattern whereas in the thalamus, pulvinar, precentral cortex, and precuneus, it follows a quadratic or exponential pattern. Age-related changes of iron content are different in the pulvinar and the rest of the thalamus as well as in internal and external globus pallidus. In the cortex, areas involved in motor and cognitive functions and visual processing show the highest iron increase with aging. We suggest that the departure from normal patterns of regional brain iron trajectories during aging may be helpful in the detection of subtle neurodegenerative and neuroinflammatory processes.
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Affiliation(s)
- Romana Burgetova
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic.,Department of Radiology, Third Faculty of Medicine, Charles University and University Hospital Královské Vinohrady, Prague, Czech Republic
| | - Petr Dusek
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic.,Department of Neurology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Andrea Burgetova
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Adam Pudlac
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Manuela Vaneckova
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Dana Horakova
- Department of Neurology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Jan Krasensky
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Zsoka Varga
- Department of Neurology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Lukas Lambert
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
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5
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MacDonald ME, Pike GB. MRI of healthy brain aging: A review. NMR IN BIOMEDICINE 2021; 34:e4564. [PMID: 34096114 DOI: 10.1002/nbm.4564] [Citation(s) in RCA: 46] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Revised: 05/08/2021] [Accepted: 05/11/2021] [Indexed: 06/12/2023]
Abstract
We present a review of the characterization of healthy brain aging using MRI with an emphasis on morphology, lesions, and quantitative MR parameters. A scope review found 6612 articles encompassing the keywords "Brain Aging" and "Magnetic Resonance"; papers involving functional MRI or not involving imaging of healthy human brain aging were discarded, leaving 2246 articles. We first consider some of the biogerontological mechanisms of aging, and the consequences of aging in terms of cognition and onset of disease. Morphological changes with aging are reviewed for the whole brain, cerebral cortex, white matter, subcortical gray matter, and other individual structures. In general, volume and cortical thickness decline with age, beginning in mid-life. Prevalent silent lesions such as white matter hyperintensities, microbleeds, and lacunar infarcts are also observed with increasing frequency. The literature regarding quantitative MR parameter changes includes T1 , T2 , T2 *, magnetic susceptibility, spectroscopy, magnetization transfer, diffusion, and blood flow. We summarize the findings on how each of these parameters varies with aging. Finally, we examine how the aforementioned techniques have been used for age prediction. While relatively large in scope, we present a comprehensive review that should provide the reader with sound understanding of what MRI has been able to tell us about how the healthy brain ages.
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Affiliation(s)
- M Ethan MacDonald
- Department of Electrical and Software Engineering, University of Calgary, Calgary, Alberta, Canada
- Departments of Radiology and Clinical Neuroscience, University of Calgary, Calgary, Alberta, Canada
- Healthy Brain Aging Laboratory, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - G Bruce Pike
- Departments of Radiology and Clinical Neuroscience, University of Calgary, Calgary, Alberta, Canada
- Healthy Brain Aging Laboratory, Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
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6
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Schweser F, Hagemeier J, Dwyer MG, Bergsland N, Hametner S, Weinstock-Guttman B, Zivadinov R. Decreasing brain iron in multiple sclerosis: The difference between concentration and content in iron MRI. Hum Brain Mapp 2020; 42:1463-1474. [PMID: 33378095 PMCID: PMC7927296 DOI: 10.1002/hbm.25306] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Revised: 10/21/2020] [Accepted: 11/20/2020] [Indexed: 12/11/2022] Open
Abstract
Increased brain iron concentration is often reported concurrently with disease development in multiple sclerosis (MS) and other neurodegenerative diseases. However, it is unclear whether the higher iron concentration in patients stems from an influx of iron into the tissue or a relative reduction in tissue compartments without much iron. By taking into account structural volume, we investigated tissue iron content in the deep gray matter (DGM) over 2 years, and compared findings to previously reported changes in iron concentration. 120 MS patients and 40 age‐ and sex‐matched healthy controls were included. Clinical testing and MRI were performed both at baseline and after 2 years. Overall, iron content was calculated from structural MRI and quantitative susceptibility mapping in the thalamus, caudate, putamen, and globus pallidus. MS patients had significantly lower iron content than controls in the thalamus, with progressive MS patients demonstrating lower iron content than relapsing–remitting patients. Over 2 years, iron content decreased in the DGM of patients with MS, while it tended to increase or remain stable among controls. In the thalamus, decreasing iron content over 2 years was associated with disability progression. Our study showed that temporally increasing magnetic susceptibility in MS should not be considered as evidence for iron influx because it may be explained, at least partially, by disease‐related atrophy. Declining DGM iron content suggests that, contrary to the current understanding, iron is being removed from the DGM in patients with MS.
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Affiliation(s)
- 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, New York, USA.,Center for Biomedical Imaging, Clinical and Translational Science Institute, University at Buffalo, The State University of New York, Buffalo, New York, USA
| | - Jesper Hagemeier
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, New York, USA
| | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, New York, USA.,Center for Biomedical Imaging, Clinical and Translational Science Institute, University at Buffalo, The State University of New York, Buffalo, New York, USA
| | - Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, New York, USA.,IRCCS, Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy
| | - Simon Hametner
- Department of Neuroimmunology, Center for Brain Research, Medical University of Vienna, Vienna, Austria
| | - Bianca Weinstock-Guttman
- Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, New York, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, New York, USA.,Center for Biomedical Imaging, Clinical and Translational Science Institute, University at Buffalo, The State University of New York, Buffalo, New York, USA
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7
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Tullo S, Patel R, Devenyi GA, Salaciak A, Bedford SA, Farzin S, Wlodarski N, Tardif CL, Breitner JCS, Chakravarty MM. MR-based age-related effects on the striatum, globus pallidus, and thalamus in healthy individuals across the adult lifespan. Hum Brain Mapp 2019; 40:5269-5288. [PMID: 31452289 PMCID: PMC6864890 DOI: 10.1002/hbm.24771] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Revised: 07/17/2019] [Accepted: 08/05/2019] [Indexed: 01/18/2023] Open
Abstract
While numerous studies have used magnetic resonance imaging (MRI) to elucidate normative age-related trajectories in subcortical structures across the human lifespan, there exists substantial heterogeneity among different studies. Here, we investigated the normative relationships between age and morphology (i.e., volume and shape), and microstructure (using the T1-weighted/T2-weighted [T1w/T2w] signal ratio as a putative index of myelin and microstructure) of the striatum, globus pallidus, and thalamus across the adult lifespan using a dataset carefully quality controlled, yielding a final sample of 178 for the morphological analyses, and 162 for the T1w/T2w analyses from an initial dataset of 253 healthy subjects, aged 18-83. In accordance with previous cross-sectional studies of adults, we observed age-related volume decrease that followed a quadratic relationship between age and bilateral striatal and thalamic volumes, and a linear relationship in the globus pallidus. Our shape indices consistently demonstrated age-related posterior and medial areal contraction bilaterally across all three structures. Beyond morphology, we observed a quadratic inverted U-shaped relationship between T1w/T2w signal ratio and age, with a peak value occurring in middle age (at around 50 years old). After permutation testing, the Akaike information criterion determined age relationships remained significant for the bilateral globus pallidus and thalamus, for both the volumetric and T1w/T2w analyses. Our findings serve to strengthen and expand upon previous volumetric analyses by providing a normative baseline of morphology and microstructure of these structures to which future studies investigating patients with various disorders can be compared.
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Affiliation(s)
- Stephanie Tullo
- Integrated Program in NeuroscienceMcGill UniversityMontrealQuebecCanada
- Computational Brain Anatomy Laboratory, Cerebral Imaging CentreDouglas Mental Health University InstituteVerdunQuebecCanada
| | - Raihaan Patel
- Computational Brain Anatomy Laboratory, Cerebral Imaging CentreDouglas Mental Health University InstituteVerdunQuebecCanada
- Department of Biological and Biomedical EngineeringMcGill UniversityMontrealQuebecCanada
| | - Gabriel A. Devenyi
- Computational Brain Anatomy Laboratory, Cerebral Imaging CentreDouglas Mental Health University InstituteVerdunQuebecCanada
- Department of PsychiatryMcGill UniversityMontrealQuebecCanada
| | - Alyssa Salaciak
- Computational Brain Anatomy Laboratory, Cerebral Imaging CentreDouglas Mental Health University InstituteVerdunQuebecCanada
| | - Saashi A. Bedford
- Integrated Program in NeuroscienceMcGill UniversityMontrealQuebecCanada
- Computational Brain Anatomy Laboratory, Cerebral Imaging CentreDouglas Mental Health University InstituteVerdunQuebecCanada
| | - Sarah Farzin
- Computational Brain Anatomy Laboratory, Cerebral Imaging CentreDouglas Mental Health University InstituteVerdunQuebecCanada
| | - Nancy Wlodarski
- Computational Brain Anatomy Laboratory, Cerebral Imaging CentreDouglas Mental Health University InstituteVerdunQuebecCanada
| | - Christine L. Tardif
- McConnell Brain Imaging CenterMontreal Neurological Institute, McGill UniversityMontrealQuebecCanada
| | | | - John C. S. Breitner
- Centre for the Studies on the Prevention of ADDouglas Mental Health University InstituteVerdunQuebecCanada
| | - M. Mallar Chakravarty
- Integrated Program in NeuroscienceMcGill UniversityMontrealQuebecCanada
- Computational Brain Anatomy Laboratory, Cerebral Imaging CentreDouglas Mental Health University InstituteVerdunQuebecCanada
- Department of Biological and Biomedical EngineeringMcGill UniversityMontrealQuebecCanada
- Department of PsychiatryMcGill UniversityMontrealQuebecCanada
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8
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Wade QW, Chiou B, Connor JR. Iron uptake at the blood-brain barrier is influenced by sex and genotype. PHARMACOLOGY OF RESTLESS LEGS SYNDROME (RLS) 2019; 84:123-145. [DOI: 10.1016/bs.apha.2019.02.005] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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9
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Zivadinov R, Tavazzi E, Bergsland N, Hagemeier J, Lin F, Dwyer MG, Carl E, Kolb C, Hojnacki D, Ramasamy D, Durfee J, Weinstock-Guttman B, Schweser F. Brain Iron at Quantitative MRI Is Associated with Disability in Multiple Sclerosis. Radiology 2018; 289:487-496. [PMID: 30015589 PMCID: PMC6219694 DOI: 10.1148/radiol.2018180136] [Citation(s) in RCA: 66] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2018] [Revised: 04/30/2018] [Accepted: 05/04/2018] [Indexed: 11/11/2022]
Abstract
Purpose To study deep gray matter susceptibility in multiple sclerosis (MS) by using quantitative susceptibility mapping (QSM) and to assess the relationship between susceptibility and clinical disability. Materials and Methods For this prospective study between March 2009 and November 2013, 600 participants with MS (452 with relapsing-remitting MS and 148 with secondary progressive MS) and 250 age- and sex-matched healthy control participants were imaged with 3.0-T MRI to measure magnetic susceptibility. Deep gray matter susceptibility (in parts per billion) was analyzed by using region of interest and voxelwise methods. QSM and MRI volumetric differences between study groups and associations with clinical outcomes were assessed. Analysis of covariance, multivariable linear regression, and voxelwise analyses, controlling for age and sex, were used to compare study groups and to explore associations between MRI and clinical outcomes. Results Compared with control participants, participants with MS presented with lower thalamic susceptibility (-7.5 ppb vs -1.1 ppb; P < .001) and higher susceptibility of basal ganglia (62 ppb vs 54.8 ppb; P < .001). Lower thalamic susceptibility was associated with longer disease duration (β = -0.42; P = .002), higher degree of disability (β = -0.64; P = .03), and secondary-progressive course (β = -4.3; P = .009). Higher susceptibility of the globus pallidus was associated with higher disability (β = 2; P = .03). After correcting for each individual structural volume in voxelwise analysis, lower thalamic susceptibility and higher susceptibility of the globus pallidus remained associated with clinical disability (P < .05). Conclusion Quantitative susceptibility mapping (QSM) suggests that altered deep gray matter iron is associated with the evolution of multiple sclerosis (MS) and on disability accrual, independent of tissue atrophy. © RSNA, 2018 Online supplemental material is available for this article.
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Affiliation(s)
- Robert Zivadinov
- From the Buffalo Neuroimaging Analysis Center, Department of
Neurology, Jacobs School of Medicine and Biomedical Sciences (R.Z., E.T., N.B.,
J.H., F.L., M.G.D., E.C., D.R., J.D., F.S.), Center for Biomedical Imaging,
Clinical Translational Science Institute (R.Z.), and Jacobs Multiple Sclerosis
Center, Department of Neurology, School of Medicine and Biomedical Sciences
(C.K., D.H., B.W.G.), University at Buffalo, State University of New York, 100
High St, Buffalo, NY 14203
| | - Eleonora Tavazzi
- From the Buffalo Neuroimaging Analysis Center, Department of
Neurology, Jacobs School of Medicine and Biomedical Sciences (R.Z., E.T., N.B.,
J.H., F.L., M.G.D., E.C., D.R., J.D., F.S.), Center for Biomedical Imaging,
Clinical Translational Science Institute (R.Z.), and Jacobs Multiple Sclerosis
Center, Department of Neurology, School of Medicine and Biomedical Sciences
(C.K., D.H., B.W.G.), University at Buffalo, State University of New York, 100
High St, Buffalo, NY 14203
| | - Niels Bergsland
- From the Buffalo Neuroimaging Analysis Center, Department of
Neurology, Jacobs School of Medicine and Biomedical Sciences (R.Z., E.T., N.B.,
J.H., F.L., M.G.D., E.C., D.R., J.D., F.S.), Center for Biomedical Imaging,
Clinical Translational Science Institute (R.Z.), and Jacobs Multiple Sclerosis
Center, Department of Neurology, School of Medicine and Biomedical Sciences
(C.K., D.H., B.W.G.), University at Buffalo, State University of New York, 100
High St, Buffalo, NY 14203
| | - Jesper Hagemeier
- From the Buffalo Neuroimaging Analysis Center, Department of
Neurology, Jacobs School of Medicine and Biomedical Sciences (R.Z., E.T., N.B.,
J.H., F.L., M.G.D., E.C., D.R., J.D., F.S.), Center for Biomedical Imaging,
Clinical Translational Science Institute (R.Z.), and Jacobs Multiple Sclerosis
Center, Department of Neurology, School of Medicine and Biomedical Sciences
(C.K., D.H., B.W.G.), University at Buffalo, State University of New York, 100
High St, Buffalo, NY 14203
| | - Fuchun Lin
- From the Buffalo Neuroimaging Analysis Center, Department of
Neurology, Jacobs School of Medicine and Biomedical Sciences (R.Z., E.T., N.B.,
J.H., F.L., M.G.D., E.C., D.R., J.D., F.S.), Center for Biomedical Imaging,
Clinical Translational Science Institute (R.Z.), and Jacobs Multiple Sclerosis
Center, Department of Neurology, School of Medicine and Biomedical Sciences
(C.K., D.H., B.W.G.), University at Buffalo, State University of New York, 100
High St, Buffalo, NY 14203
| | - Michael G. Dwyer
- From the Buffalo Neuroimaging Analysis Center, Department of
Neurology, Jacobs School of Medicine and Biomedical Sciences (R.Z., E.T., N.B.,
J.H., F.L., M.G.D., E.C., D.R., J.D., F.S.), Center for Biomedical Imaging,
Clinical Translational Science Institute (R.Z.), and Jacobs Multiple Sclerosis
Center, Department of Neurology, School of Medicine and Biomedical Sciences
(C.K., D.H., B.W.G.), University at Buffalo, State University of New York, 100
High St, Buffalo, NY 14203
| | - Ellen Carl
- From the Buffalo Neuroimaging Analysis Center, Department of
Neurology, Jacobs School of Medicine and Biomedical Sciences (R.Z., E.T., N.B.,
J.H., F.L., M.G.D., E.C., D.R., J.D., F.S.), Center for Biomedical Imaging,
Clinical Translational Science Institute (R.Z.), and Jacobs Multiple Sclerosis
Center, Department of Neurology, School of Medicine and Biomedical Sciences
(C.K., D.H., B.W.G.), University at Buffalo, State University of New York, 100
High St, Buffalo, NY 14203
| | - Channa Kolb
- From the Buffalo Neuroimaging Analysis Center, Department of
Neurology, Jacobs School of Medicine and Biomedical Sciences (R.Z., E.T., N.B.,
J.H., F.L., M.G.D., E.C., D.R., J.D., F.S.), Center for Biomedical Imaging,
Clinical Translational Science Institute (R.Z.), and Jacobs Multiple Sclerosis
Center, Department of Neurology, School of Medicine and Biomedical Sciences
(C.K., D.H., B.W.G.), University at Buffalo, State University of New York, 100
High St, Buffalo, NY 14203
| | - David Hojnacki
- From the Buffalo Neuroimaging Analysis Center, Department of
Neurology, Jacobs School of Medicine and Biomedical Sciences (R.Z., E.T., N.B.,
J.H., F.L., M.G.D., E.C., D.R., J.D., F.S.), Center for Biomedical Imaging,
Clinical Translational Science Institute (R.Z.), and Jacobs Multiple Sclerosis
Center, Department of Neurology, School of Medicine and Biomedical Sciences
(C.K., D.H., B.W.G.), University at Buffalo, State University of New York, 100
High St, Buffalo, NY 14203
| | - Deepa Ramasamy
- From the Buffalo Neuroimaging Analysis Center, Department of
Neurology, Jacobs School of Medicine and Biomedical Sciences (R.Z., E.T., N.B.,
J.H., F.L., M.G.D., E.C., D.R., J.D., F.S.), Center for Biomedical Imaging,
Clinical Translational Science Institute (R.Z.), and Jacobs Multiple Sclerosis
Center, Department of Neurology, School of Medicine and Biomedical Sciences
(C.K., D.H., B.W.G.), University at Buffalo, State University of New York, 100
High St, Buffalo, NY 14203
| | - Jacqueline Durfee
- From the Buffalo Neuroimaging Analysis Center, Department of
Neurology, Jacobs School of Medicine and Biomedical Sciences (R.Z., E.T., N.B.,
J.H., F.L., M.G.D., E.C., D.R., J.D., F.S.), Center for Biomedical Imaging,
Clinical Translational Science Institute (R.Z.), and Jacobs Multiple Sclerosis
Center, Department of Neurology, School of Medicine and Biomedical Sciences
(C.K., D.H., B.W.G.), University at Buffalo, State University of New York, 100
High St, Buffalo, NY 14203
| | - Bianca Weinstock-Guttman
- From the Buffalo Neuroimaging Analysis Center, Department of
Neurology, Jacobs School of Medicine and Biomedical Sciences (R.Z., E.T., N.B.,
J.H., F.L., M.G.D., E.C., D.R., J.D., F.S.), Center for Biomedical Imaging,
Clinical Translational Science Institute (R.Z.), and Jacobs Multiple Sclerosis
Center, Department of Neurology, School of Medicine and Biomedical Sciences
(C.K., D.H., B.W.G.), University at Buffalo, State University of New York, 100
High St, Buffalo, NY 14203
| | - Ferdinand Schweser
- From the Buffalo Neuroimaging Analysis Center, Department of
Neurology, Jacobs School of Medicine and Biomedical Sciences (R.Z., E.T., N.B.,
J.H., F.L., M.G.D., E.C., D.R., J.D., F.S.), Center for Biomedical Imaging,
Clinical Translational Science Institute (R.Z.), and Jacobs Multiple Sclerosis
Center, Department of Neurology, School of Medicine and Biomedical Sciences
(C.K., D.H., B.W.G.), University at Buffalo, State University of New York, 100
High St, Buffalo, NY 14203
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10
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Schweser F, Raffaini Duarte Martins AL, Hagemeier J, Lin F, Hanspach J, Weinstock-Guttman B, Hametner S, Bergsland N, Dwyer MG, Zivadinov R. Mapping of thalamic magnetic susceptibility in multiple sclerosis indicates decreasing iron with disease duration: A proposed mechanistic relationship between inflammation and oligodendrocyte vitality. Neuroimage 2018; 167:438-452. [PMID: 29097315 PMCID: PMC5845810 DOI: 10.1016/j.neuroimage.2017.10.063] [Citation(s) in RCA: 54] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2017] [Revised: 10/24/2017] [Accepted: 10/27/2017] [Indexed: 12/13/2022] Open
Abstract
Recent advances in susceptibility MRI have dramatically improved the visualization of deep gray matter brain regions and the quantification of their magnetic properties in vivo, providing a novel tool to study the poorly understood iron homeostasis in the human brain. In this study, we used an advanced combination of the recent quantitative susceptibility mapping technique with dedicated analysis methods to study intra-thalamic tissue alterations in patients with clinically isolated syndrome (CIS) and multiple sclerosis (MS). Thalamic pathology is one of the earliest hallmarks of MS and has been shown to correlate with cognitive dysfunction and fatigue, but the mechanisms underlying the thalamic pathology are poorly understood. We enrolled a total of 120 patients, 40 with CIS, 40 with Relapsing Remitting MS (RRMS), and 40 with Secondary Progressive MS (SPMS). For each of the three patient groups, we recruited 40 controls, group matched for age- and sex (120 total). We acquired quantitative susceptibility maps using a single-echo gradient echo MRI pulse sequence at 3 T. Group differences were studied by voxel-based analysis as well as with a custom thalamus atlas. We used threshold-free cluster enhancement (TFCE) and multiple regression analyses, respectively. We found significantly reduced magnetic susceptibility compared to controls in focal thalamic subregions of patients with RRMS (whole thalamus excluding the pulvinar nucleus) and SPMS (primarily pulvinar nucleus), but not in patients with CIS. Susceptibility reduction was significantly associated with disease duration in the pulvinar, the left lateral nuclear region, and the global thalamus. Susceptibility reduction indicates a decrease in tissue iron concentration suggesting an involvement of chronic microglia activation in the depletion of iron from oligodendrocytes in this central and integrative brain region. Not necessarily specific to MS, inflammation-mediated iron release may lead to a vicious circle that reduces the protection of axons and neuronal repair.
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Affiliation(s)
- 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, USA; Center for Biomedical Imaging, Clinical and Translational Science Institute, University at Buffalo, The State University of New York, Buffalo, NY, USA.
| | - Ana Luiza Raffaini Duarte Martins
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Jesper Hagemeier
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Fuchun Lin
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Jannis Hanspach
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA; Institute of Radiology, University Hospital Erlangen, Erlangen, Germany
| | - Bianca Weinstock-Guttman
- Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Simon Hametner
- Department of Neuroimmunology, Center for Brain Research, Medical University of Vienna, Vienna, Austria
| | - Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA; Center for Biomedical Imaging, Clinical and Translational Science Institute, University at Buffalo, The State University of New York, Buffalo, NY, USA
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11
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Abstract
Susceptibility Weighted Imaging (SWI) is an established part of the clinical neuroimaging toolbox and, since its inception, has also successfully been used in various preclinical studies. Exploiting the effect of variations of magnetic susceptibility between different tissues on the externally applied, static, homogeneous magnetic field, the method visualizes venous vasculature, hemorrhages and blood degradation products, calcifications, and tissue iron deposits. The chapter describes in vivo and ex vivo protocols for preclinical SWI in rodents.
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Affiliation(s)
- 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, USA.
- Center for Biomedical Imaging, Clinical and Translational Science Institute, University at Buffalo, The State University of New York, Buffalo, NY, USA.
| | - Marilena Preda
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
- Center for Biomedical Imaging, Clinical and Translational Science Institute, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
- Center for Biomedical Imaging, Clinical and Translational Science Institute, University at Buffalo, The State University of New York, Buffalo, NY, USA
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12
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Hagemeier J, Ramanathan M, Schweser F, Dwyer MG, Lin F, Bergsland N, Weinstock-Guttman B, Zivadinov R. Iron-related gene variants and brain iron in multiple sclerosis and healthy individuals. NEUROIMAGE-CLINICAL 2017; 17:530-540. [PMID: 29201641 PMCID: PMC5699896 DOI: 10.1016/j.nicl.2017.11.003] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/21/2017] [Revised: 11/01/2017] [Accepted: 11/03/2017] [Indexed: 12/14/2022]
Abstract
Brain iron homeostasis is known to be disturbed in multiple sclerosis (MS), yet little is known about the association of common gene variants linked to iron regulation and pathological tissue changes in the brain. In this study, we investigated the association of genetic determinants linked to iron regulation with deep gray matter (GM) magnetic susceptibility in both healthy controls (HC) and MS patients. Four hundred (400) patients with MS and 150 age- and sex-matched HCs were enrolled and obtained 3 T MRI examination. Three (3) single nucleotide polymorphisms (SNPs) associated with iron regulation were genotyped: two SNPs in the human hereditary hemochromatosis protein gene HFE: rs1800562 (C282Y mutation) and rs1799945 (H63D mutation), as well as the rs1049296 SNP in the transferrin gene (C2 mutation). The effects of disease and genetic status were studied using quantitative susceptibility mapping (QSM) voxel-based analysis (VBA) and region-of-interest (ROI) analysis of the deep GM. The general linear model framework was used to compare groups. Analyses were corrected for age and sex, and adjusted for false discovery rate. We found moderate increases in susceptibility in the right putamen of participants with the C282Y (+ 6.1 ppb) and H63D (+ 6.9 ppb) gene variants vs. non-carriers, as well as a decrease in thalamic susceptibility of progressive MS patients with the C282Y mutation (left: − 5.3 ppb, right: − 6.7 ppb, p < 0.05). Female MS patients had lower susceptibility in the caudate (− 6.0 ppb) and putamen (left: − 3.9 ppb, right: − 4.6 ppb) than men, but only when they had a wild-type allele (p < 0.05). Iron-gene linked increases in putamen susceptibility (in HC and relapsing remitting MS) and decreases in thalamus susceptibility (in progressive MS), coupled with apparent sex interactions, indicate that brain iron in healthy and disease states may be influenced by genetic factors. Magnetic susceptibility and common gene variants linked to iron were investigated. The C282Y and H63D alleles were associated with putamen and thalamus susceptibility changes. Dependent on allele status, men and women differed in deep GM susceptibility in MS.
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Key Words
- EDSS, Expanded Disability Status Scale
- FDR, false discovery rate
- FWE, family-wise error rate
- GLM, general linear model
- GM, gray matter
- GRE, gradient recalled echo
- HC, healthy control
- HFE, human hemochromatosis gene
- Iron
- Iron related genes
- MS, multiple sclerosis
- MSSS, multiple sclerosis severity scale
- Multiple sclerosis
- QSM
- QSM, quantitative susceptibility mapping
- Quantitative susceptibility mapping
- ROI, region of interest
- RRMS, relapsing-remitting multiple sclerosis
- SNP, single nucleotide polymorphism
- T1w, T1-weighted
- TF, transferrin
- TFCE, threshold-free cluster enhancement
- VBA, voxel-based analysis
- ppb, parts per billion
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Affiliation(s)
- Jesper Hagemeier
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA.
| | - Murali Ramanathan
- Department of Pharmaceutical Sciences, School of Medicine and Biomedical Sciences, State University of New York, Buffalo, NY, USA
| | - 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, USA; Center for Biomedical Imaging, Clinical and Translational Science Institute, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Fuchun Lin
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Bianca Weinstock-Guttman
- Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA; Center for Biomedical Imaging, Clinical and Translational Science Institute, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
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13
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Gramsch C, Reuter I, Kraff O, Quick HH, Tanislav C, Roessler F, Deuschl C, Forsting M, Schlamann M. Nigrosome 1 visibility at susceptibility weighted 7T MRI-A dependable diagnostic marker for Parkinson's disease or merely an inconsistent, age-dependent imaging finding? PLoS One 2017; 12:e0185489. [PMID: 29016618 PMCID: PMC5634553 DOI: 10.1371/journal.pone.0185489] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2017] [Accepted: 09/13/2017] [Indexed: 01/14/2023] Open
Abstract
Background Visualisation of nigrosome 1, a substructure of the healthy substantia nigra, was restricted in susceptibility weighted MR imaging in almost all patients with Parkinson's disease studied so far. The purpose of this study was to determine the degree of visibility of this substructure in subjects without Parkinson’s disease and to examine the potential link between increasing brain iron accumulation with age and its detectability. Methods In 46 subjects (21 women, 25 men; 19 to 75 y; mean age: 44.5; SD: 15.6) examined with susceptibility weighted MR imaging at 7T visibility of nigrosome 1 was rated and classified. We assessed differences related to age and to signal intensities in the substantia nigra, red nucleus and putamen as correlates of the individual iron concentration. Results In 93% nigrosome 1was at least unilaterally clearly present. In 24% at least one-sided limited visibility was observed. Using predefined classification criteria the specificity of the visibility across all age groups reached approximately 94%. We found no correlation with increasing iron concentrations with age. Conclusion Aging with a related increase in iron concentration probably does not affect the visibility of nigrosome 1 at 7T SWI MRI. Our results support the role of this feature as a future differential diagnostic tool but further large-scale prospective studies are needed to better define the extent of a “limited visibility” to which an individual can be considered healthy.
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Affiliation(s)
- Carolin Gramsch
- Department of Neuroradiology, University Hospital Giessen, Giessen, Germany
- Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany
- * E-mail:
| | - Iris Reuter
- Department of Neurology, University Hospital Giessen, Giessen, Germany
| | - Oliver Kraff
- Erwin L. Hahn Institute for Magnetic Resonance Imaging, University Duisburg-Essen, Essen, Germany
| | - Harald H. Quick
- Erwin L. Hahn Institute for Magnetic Resonance Imaging, University Duisburg-Essen, Essen, Germany
- High Field and Hybrid MR Imaging, University Hospital Essen, Essen, Germany
| | | | - Florian Roessler
- Department of Neurology, University Hospital Giessen, Giessen, Germany
| | - Cornelius Deuschl
- Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany
| | - Michael Forsting
- Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany
| | - Marc Schlamann
- Department of Neuroradiology, University Hospital Giessen, Giessen, Germany
- Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, Essen, Germany
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14
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Hagemeier J, Zivadinov R, Dwyer MG, Polak P, Bergsland N, Weinstock-Guttman B, Zalis J, Deistung A, Reichenbach JR, Schweser F. Changes of deep gray matter magnetic susceptibility over 2 years in multiple sclerosis and healthy control brain. NEUROIMAGE-CLINICAL 2017; 18:1007-1016. [PMID: 29868452 PMCID: PMC5984575 DOI: 10.1016/j.nicl.2017.04.008] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/12/2016] [Revised: 04/07/2017] [Accepted: 04/09/2017] [Indexed: 01/21/2023]
Abstract
In multiple sclerosis, pathological changes of both tissue iron and myelin occur, yet these factors have not been characterized in a longitudinal fashion using the novel iron- and myelin-sensitive quantitative susceptibility mapping (QSM) MRI technique. We investigated disease-relevant tissue changes associated with myelin loss and iron accumulation in multiple sclerosis deep gray matter (DGM) over two years. One-hundred twenty (120) multiple sclerosis patients and 40 age- and sex-matched healthy controls were included in this prospective study. Written informed consent and local IRB approval were obtained from all participants. Clinical testing and QSM were performed both at baseline and at follow-up. Brain magnetic susceptibility was measured in major DGM structures. Temporal (baseline vs. follow-up) and cross-sectional (multiple sclerosis vs. controls) differences were studied using mixed factorial ANOVA analysis and appropriate t-tests. At either time-point, multiple sclerosis patients had significantly higher susceptibility in the caudate and globus pallidus and lower susceptibility in the thalamus. Over two years, susceptibility increased significantly in the caudate of both controls and multiple sclerosis patients. Inverse thalamic findings among MS patients suggest a multi-phase pathology explained by simultaneous myelin loss and/or iron accumulation followed by iron depletion and/or calcium deposition at later stages.
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Affiliation(s)
- Jesper Hagemeier
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA.
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA; MRI Clinical and Translational Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Paul Polak
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA; IRCCS Don Gnocchi Foundation, Milan, Italy
| | - Bianca Weinstock-Guttman
- Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Joshua Zalis
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Andreas Deistung
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital - Friedrich Schiller University Jena, Germany; Section of Experimental Neurology, Department of Neurology, Essen University Hospital, Essen, Germany; Erwin L. Hahn Institute for Magnetic Resonance Imaging, University Duisburg-Essen, Essen, Germany
| | - Jürgen R Reichenbach
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital - Friedrich Schiller University Jena, Germany; Michael Stifel Center for Data-driven and Simulation Science Jena, Friedrich Schiller University Jena, Germany
| | - 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, USA; MRI Clinical and Translational Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
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15
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Feng X, Deistung A, Dwyer MG, Hagemeier J, Polak P, Lebenberg J, Frouin F, Zivadinov R, Reichenbach JR, Schweser F. An improved FSL-FIRST pipeline for subcortical gray matter segmentation to study abnormal brain anatomy using quantitative susceptibility mapping (QSM). Magn Reson Imaging 2017; 39:110-122. [PMID: 28188873 DOI: 10.1016/j.mri.2017.02.002] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2016] [Revised: 02/05/2017] [Accepted: 02/05/2017] [Indexed: 12/13/2022]
Abstract
Accurate and robust segmentation of subcortical gray matter (SGM) nuclei is required in many neuroimaging applications. FMRIB's Integrated Registration and Segmentation Tool (FIRST) is one of the most popular software tools for automated subcortical segmentation based on T1-weighted (T1w) images. In this work, we demonstrate that FIRST tends to produce inaccurate SGM segmentation results in the case of abnormal brain anatomy, such as present in atrophied brains, due to a poor spatial match of the subcortical structures with the training data in the MNI space as well as due to insufficient contrast of SGM structures on T1w images. Consequently, such deviations from the average brain anatomy may introduce analysis bias in clinical studies, which may not always be obvious and potentially remain unidentified. To improve the segmentation of subcortical nuclei, we propose to use FIRST in combination with a special Hybrid image Contrast (HC) and Non-Linear (nl) registration module (HC-nlFIRST), where the hybrid image contrast is derived from T1w images and magnetic susceptibility maps to create subcortical contrast that is similar to that in the Montreal Neurological Institute (MNI) template. In our approach, a nonlinear registration replaces FIRST's default linear registration, yielding a more accurate alignment of the input data to the MNI template. We evaluated our method on 82 subjects with particularly abnormal brain anatomy, selected from a database of >2000 clinical cases. Qualitative and quantitative analyses revealed that HC-nlFIRST provides improved segmentation compared to the default FIRST method.
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Affiliation(s)
- Xiang Feng
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany.
| | - Andreas Deistung
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany; Section of Experimental Neurology, Department of Neurology, Essen University Hospital, Essen, Germany; Erwin L. Hahn Institute for Magnetic Resonance Imaging, University Duisburg-Essen, Essen, Germany
| | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Dept. of Neurology, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, United States
| | - Jesper Hagemeier
- Buffalo Neuroimaging Analysis Center, Dept. of Neurology, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, United States
| | - Paul Polak
- Buffalo Neuroimaging Analysis Center, Dept. of Neurology, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, United States
| | - Jessica Lebenberg
- UNATI, CEA DRF/I2BM, INSERM, Université Paris-Sud, Université Paris-Saclay, NeuroSpin Center, Gif/Yvette, France
| | - Frédérique Frouin
- Inserm/CEA/Université Paris Sud/CNRS, CEA/I2BM/SHFJ, Laboratoire IMIV, Orsay, France
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Dept. of Neurology, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, United States; MRI Molecular and Translational Imaging Center, Buffalo CTRC, State University of New York at Buffalo, Buffalo, NY, United States
| | - Jürgen R Reichenbach
- Medical Physics Group, Institute of Diagnostic and Interventional Radiology, Jena University Hospital - Friedrich Schiller University Jena, Jena, Germany; Center of Medical Optics and Photonics, Friedrich Schiller University Jena, Germany; Michael Stifel Center for Data-driven and Simulation Science Jena, Friedrich Schiller University Jena, Germany
| | - Ferdinand Schweser
- Buffalo Neuroimaging Analysis Center, Dept. of Neurology, Jacobs School of Medicine and Biomedical Sciences, State University of New York at Buffalo, Buffalo, NY, United States; MRI Molecular and Translational Imaging Center, Buffalo CTRC, State University of New York at Buffalo, Buffalo, NY, United States
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16
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Okubo G, Okada T, Yamamoto A, Fushimi Y, Okada T, Murata K, Togashi K. Relationship between aging and T
1
relaxation time in deep gray matter: A voxel-based analysis. J Magn Reson Imaging 2017; 46:724-731. [DOI: 10.1002/jmri.25590] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2016] [Accepted: 11/28/2016] [Indexed: 02/06/2023] Open
Affiliation(s)
- Gosuke Okubo
- Department of Diagnostic Imaging and Nuclear Medicine; Kyoto University Graduate School of Medicine; Kyoto Kyoto Japan
| | - Tomohisa Okada
- Department of Diagnostic Imaging and Nuclear Medicine; Kyoto University Graduate School of Medicine; Kyoto Kyoto Japan
| | - Akira Yamamoto
- Department of Diagnostic Imaging and Nuclear Medicine; Kyoto University Graduate School of Medicine; Kyoto Kyoto Japan
| | - Yasutaka Fushimi
- Department of Diagnostic Imaging and Nuclear Medicine; Kyoto University Graduate School of Medicine; Kyoto Kyoto Japan
| | - Tsutomu Okada
- Department of Diagnostic Imaging and Nuclear Medicine; Kyoto University Graduate School of Medicine; Kyoto Kyoto Japan
| | | | - Kaori Togashi
- Department of Diagnostic Imaging and Nuclear Medicine; Kyoto University Graduate School of Medicine; Kyoto Kyoto Japan
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17
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Marwha D, Halari M, Eliot L. Meta-analysis reveals a lack of sexual dimorphism in human amygdala volume. Neuroimage 2016; 147:282-294. [PMID: 27956206 DOI: 10.1016/j.neuroimage.2016.12.021] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2016] [Revised: 11/27/2016] [Accepted: 12/08/2016] [Indexed: 12/31/2022] Open
Abstract
The amygdala plays a key role in many affective behaviors and psychiatric disorders that differ between men and women. To test whether human amygdala volume (AV) differs reliably between the sexes, we performed a systematic review and meta-analysis of AVs reported in MRI studies of age-matched healthy male and female groups. Using four search strategies, we identified 46 total studies (58 matched samples) from which we extracted effect sizes for the sex difference in AV. All data were converted to Hedges g values and pooled effect sizes were calculated using a random-effects model. Each dataset was further meta-regressed against study year and average participant age. We found that uncorrected amygdala volume is about 10% larger in males, with pooled sex difference effect sizes of g=0.581 for right amygdala (κ=28, n=2022), 0.666 for left amygdala (κ=28, n=2006), and 0.876 for bilateral amygdala (κ=16, n=1585) volumes (all p values < 0.001). However, this difference is comparable to the sex differences in intracranial volume (ICV; g=1.186, p<.001, 11.9% larger in males, κ=11) and total brain volume (TBV; g=1.278, p<0.001, 11.5% larger in males, κ=15) reported in subsets of the same studies, suggesting the sex difference in AV is a product of larger brain size in males. Among studies reporting AVs normalized for ICV or TBV, sex difference effect sizes were small and not statistically significant: g=0.171 for the right amygdala (p=0.206, κ=13, n=1560); 0.233 for the left amygdala (p=0.092, κ=12, n=1512); and 0.257 for bilateral volume (p=0.131, κ=5, n=1629). These values correspond to less than 0.1% larger corrected right AV and 2.5% larger corrected left AV in males compared to females. In summary, AV is not selectively enhanced in human males, as often claimed. Although we cannot rule out subtle male-female group differences, it is not accurate to refer to the human amygdala as "sexually dimorphic."
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Affiliation(s)
- Dhruv Marwha
- Department of Neuroscience, Chicago Medical School, Rosalind Franklin University of Medicine & Science, United States
| | - Meha Halari
- Department of Neuroscience, Chicago Medical School, Rosalind Franklin University of Medicine & Science, United States
| | - Lise Eliot
- Department of Neuroscience, Chicago Medical School, Rosalind Franklin University of Medicine & Science, United States.
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Persson N, Wu J, Zhang Q, Liu T, Shen J, Bao R, Ni M, Liu T, Wang Y, Spincemaille P. Age and sex related differences in subcortical brain iron concentrations among healthy adults. Neuroimage 2015. [PMID: 26216277 DOI: 10.1016/j.neuroimage.2015.07.050] [Citation(s) in RCA: 86] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Age and sex can influence brain iron levels. We studied the influence of these variables on deep gray matter magnetic susceptibilities. In 183 healthy volunteers (44.7 ± 14.2 years, range 20-69, ♀ 49%), in vivo quantitative susceptibility mapping (QSM) at 1.5T was performed to estimate brain iron accumulation in the following regions of interest (ROIs): caudate nucleus (Cd), putamen (Pt), globus pallidus (Gp), thalamus (Th), pulvinar (Pul), red nucleus (Rn), substantia nigra (Sn) and the cerebellar dentate nuclei (Dn). We gauged the influence of age and sex on magnetic susceptibility by specifying a series of structural equation models. The distributions of susceptibility varied in degree across the structures, conforming to histologic findings (Hallgren and Sourander, 1958), with the highest degree of susceptibility in the Gp and the lowest in the Th. Iron increase correlated across several ROIs, which may reflect an underlying age-related process. Advanced age was associated with a particularly strong linear rise of susceptibility in the striatum. Nonlinear age trends were found in the Rn, where they were the most pronounced, followed by the Pul and Sn, while minimal nonlinear trends were observed for the Pt, Th, and Dn. Moreover, sex related variations were observed, so that women showed lower levels of susceptibility in the Sn after accounting for age. Regional susceptibility of the Pul increased linearly with age in men but exhibited a nonlinear association with age in women with a leveling off starting from midlife. Women expected to be post menopause (+51 years) showed lower total magnetic susceptibility in the subcortical gray matter. The current report not only is consistent with previous reports of age related variations of brain iron, but also adds to the current knowledge by reporting age-related changes in less studied, smaller subcortical nuclei. This is the first in-vivo report to show lower total subcortical brain iron levels selectively in women from midlife, compared to men and younger women. These results encourage further assessment of sex differences in brain iron. We anticipate that age and sex are important co-factors to take into account when establishing a baseline level for differentiating pathologic neurodegeneration from healthy aging. The variations in regional susceptibility reported herein should be evaluated further using a longitudinal study design to determine within-person changes in aging.
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Affiliation(s)
- Ninni Persson
- Department of Psychology, Stockholm University, Stockholm, Sweden; Stockholm Brain Institute, Stockholm, Sweden; Radiology, Weill Cornell Medical College, New York, NY, USA
| | - Jianlin Wu
- Radiology, The 1st Hospital of Dalian Medical University, Dalian, Liaoning Province, China; Radiology, Zhongshan Hospital of Dalian University, Dalian, Liaoning Province, China
| | - Qing Zhang
- Radiology, The 1st Hospital of Dalian Medical University, Dalian, Liaoning Province, China
| | - Ting Liu
- Radiology, The 1st Hospital of Dalian Medical University, Dalian, Liaoning Province, China
| | - Jing Shen
- Radiology, The 1st Hospital of Dalian Medical University, Dalian, Liaoning Province, China
| | - Ruyi Bao
- Radiology, The 1st Hospital of Dalian Medical University, Dalian, Liaoning Province, China
| | - Mingfei Ni
- Radiology, The 1st Hospital of Dalian Medical University, Dalian, Liaoning Province, China
| | - Tian Liu
- Radiology, Weill Cornell Medical College, New York, NY, USA
| | - Yi Wang
- Radiology, Weill Cornell Medical College, New York, NY, USA; Biomedical Engineering, Cornell University, Ithaca, NY, USA
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Dwyer MG, Zivadinov R, Markovic-Plese S, Bergsland N, Heininen-Brown M, Carl E, Kennedy C, Weinstock-Guttman B, Hayward B, Dangond F. Associations between changes in ferritin levels and susceptibility-weighted imaging filtered phase in patients with relapsing–remitting multiple sclerosis over 24weeks of therapy with subcutaneous interferon beta-1a three times weekly. J Neuroimmunol 2015; 281:44-50. [DOI: 10.1016/j.jneuroim.2015.03.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2014] [Revised: 02/24/2015] [Accepted: 03/02/2015] [Indexed: 02/01/2023]
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Effects of diet on brain iron levels among healthy individuals: an MRI pilot study. Neurobiol Aging 2015; 36:1678-1685. [DOI: 10.1016/j.neurobiolaging.2015.01.010] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2014] [Revised: 12/22/2014] [Accepted: 01/13/2015] [Indexed: 11/20/2022]
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Zivadinov R, Dwyer M, Markovic-Plese S, Hayward B, Bergsland N, Heininen-Brown M, Carl E, Kennedy C, Dangond F, Weinstock-Guttman B. A pilot, longitudinal, 24-week study to evaluate the effect of interferon beta-1a subcutaneous on changes in susceptibility-weighted imaging-filtered phase assessment of lesions and subcortical deep-gray matter in relapsing-remitting multiple sclerosis. Ther Adv Neurol Disord 2015; 8:59-70. [PMID: 25941537 PMCID: PMC4356661 DOI: 10.1177/1756285615572953] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND Studies have shown a relationship between increased iron content and clinical progression, cognitive impairment, and brain atrophy in patients with multiple sclerosis. Altered phase, as determined by susceptibility-weighted imaging (SWI), can potentially capture iron content changes. OBJECTIVE The objective of this study was to investigate phase changes in white matter (WM) lesions and subcortical deep-gray matter (SDGM) of patients with relapsing-remitting (RR) MS treated with interferon beta-1a administered subcutaneously versus untreated healthy controls (HCs). METHODS We conducted a 24-week, nonrandomized, open-label pilot study of 23 patients with RRMS receiving interferon beta-1a administered subcutaneously and 15 HCs. Patients were imaged on a 3T scanner at baseline, 12, and 24 weeks; changes in phase behavior in WM lesions and regional SDGM [mean phase of low-phase voxels (MP-LPV)], and in SDGM volumes, were measured. Between- and within-group changes were tested using nonparametric statistics adjusted for multiple comparisons. RESULTS The number (p = 0.003) and volume (p < 0.001) of phase WM lesions both significantly decreased among RRMS patients over 24 weeks. At baseline, MP-LPV was lower (suggestive of greater iron content) in total SDGM among RRMS patients versus HCs (p = 0.002). Week 24 MP-LPV changes from baseline were not significantly different between groups in total SDGM or any region except the putamen (-0.0025 radians in RRMS patients versus 0.0035 radians in HCs; p = 0.041). CONCLUSIONS Over 24 weeks, phase lesions were reduced significantly in the RRMS group. These preliminary results suggest that SWI-filtered phase may become a useful tool for monitoring RRMS disease activity.
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Affiliation(s)
- Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, School of Medicine and Biomedical Sciences, MRI Imaging Clinical Translational Research Center, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY 14203, USA
| | - Michael Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, School of Medicine and Biomedical Sciences, MRI Imaging Clinical Translational Research Center, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY 14203, USA
| | - Silva Markovic-Plese
- Department of Neurology, Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | | | - Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Mari Heininen-Brown
- Buffalo Neuroimaging Analysis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Ellen Carl
- Buffalo Neuroimaging Analysis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Cheryl Kennedy
- Buffalo Neuroimaging Analysis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | | | - Bianca Weinstock-Guttman
- Baird MS Center, Department of Neurology, State University of New York at Buffalo, Buffalo, NY, USA
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Thalamic fractional anisotropy predicts accrual of cerebral white matter damage in older subjects with small-vessel disease. J Cereb Blood Flow Metab 2014; 34:1321-7. [PMID: 24824915 PMCID: PMC4126092 DOI: 10.1038/jcbfm.2014.86] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2013] [Revised: 03/21/2014] [Accepted: 04/21/2014] [Indexed: 11/08/2022]
Abstract
White matter hyperintensities (WMHs) and lacunes are magnetic resonance imaging hallmarks of cerebral small-vessel disease, which increase the risk of stroke, cognitive, and mobility impairment. Although most studies of cerebral small-vessel disease have focused on white matter abnormalities, the gray matter (GM) is also affected, as evidenced by frequently observed lacunes in subcortical GM. Diffusion tensor imaging (DTI) is sensitive to subtle neurodegenerative changes in deep GM structures. We explored the relationship between baseline DTI characteristics of the thalamus, caudate, and putamen, and the volume and subsequent accrual of WMHs over a 4-year period in 56 community-dwelling older (⩾75 years) individuals. Baseline thalamic fractional anisotropy (FA) was an independent predictor of WMH accrual. WMH accrual also correlated with baseline lacune count and baseline WMH volume, the latter showing the strongest predictive power, explaining 27.3% of the variance. The addition of baseline thalamic FA in multivariate modeling increased this value by 70%, which explains 46.5% of the variance in WMH accrual rate. Thalamic FA might serve as a novel predictor of cerebral small-vessel disease progression in clinical settings and trials. Furthermore, our findings point to the possibility of a causal relationship between thalamic damage and the accrual of WMHs.
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Modica CM, Zivadinov R, Dwyer MG, Bergsland N, Weeks AR, Benedict RHB. Iron and volume in the deep gray matter: association with cognitive impairment in multiple sclerosis. AJNR Am J Neuroradiol 2014; 36:57-62. [PMID: 24948507 DOI: 10.3174/ajnr.a3998] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE There is a well-established correlation between deep gray matter atrophy and cognitive dysfunction in MS. However, the cause of these signs of neurodegeneration is poorly understood. Iron accumulation in the deep gray matter is higher in patients with MS compared with age- and sex-matched healthy controls, and could contribute to disease progression. Our objective was to evaluate the relationship between iron and cognition in several deep gray matter structures while accounting for the influence of volume loss. MATERIALS AND METHODS Eighty-five patients with MS and 27 healthy volunteers underwent 3T MR imaging and neuropsychological examination. We used SWI filtered phase to analyze the mean phase of low-phase voxels, indicative of abnormal iron accumulation. RESULTS Correlations between mean phase of low-phase voxels and cognitive tests were found in the caudate nucleus (r = 0.240 and 0.232), putamen (r = 0.368, 0.252, and 0.238), globus pallidus (r = 0.235), and pulvinar nucleus of thalamus (r = 0.244, 0.255, and 0.251) (P < .05). However, correlations between structure volume and cognition were more robust. Furthermore, the introduction of structure volume into hierarchical regression analyses after iron metrics significantly improved most models, and mean phase of low-phase voxels did not account for significant variance after volume. CONCLUSIONS These findings suggest that iron accumulation plays a significant, if minor, role in MS cognitive decline.
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Affiliation(s)
- C M Modica
- From the Neuroscience Program (C.M.M.) Buffalo Neuroimaging Analysis Center (C.M.M., R.Z., M.G.D., N.B., R.H.B.B.)
| | - R Zivadinov
- Buffalo Neuroimaging Analysis Center (C.M.M., R.Z., M.G.D., N.B., R.H.B.B.) MR Imaging Clinical Translational Research Center (R.Z.) Department of Neurology (R.Z., R.H.B.B.), School of Medicine and Biomedical Sciences
| | - M G Dwyer
- Buffalo Neuroimaging Analysis Center (C.M.M., R.Z., M.G.D., N.B., R.H.B.B.)
| | - N Bergsland
- Buffalo Neuroimaging Analysis Center (C.M.M., R.Z., M.G.D., N.B., R.H.B.B.) IRCCS (N.B.), "S. Maria Nascente," Don Gnocchi Foundation, Milan, Italy
| | - A R Weeks
- School of Public Health and Health Professions (A.R.W.), University at Buffalo, State University of New York, Buffalo, New York
| | - R H B Benedict
- Buffalo Neuroimaging Analysis Center (C.M.M., R.Z., M.G.D., N.B., R.H.B.B.) Department of Neurology (R.Z., R.H.B.B.), School of Medicine and Biomedical Sciences
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24
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Apple AC, Possin KL, Satris G, Johnson E, Lupo JM, Jakary A, Wong K, Kelley DAC, Kang GA, Sha SJ, Kramer JH, Geschwind MD, Nelson SJ, Hess CP. Quantitative 7T phase imaging in premanifest Huntington disease. AJNR Am J Neuroradiol 2014; 35:1707-13. [PMID: 24742810 DOI: 10.3174/ajnr.a3932] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
BACKGROUND AND PURPOSE In vivo MR imaging and postmortem neuropathologic studies have demonstrated elevated iron concentration and atrophy within the striatum of patients with Huntington disease, implicating neuronal loss and iron accumulation in the pathogenesis of this neurodegenerative disorder. We used 7T MR imaging to determine whether quantitative phase, a measurement that reflects both iron content and tissue microstructure, is altered in subjects with premanifest Huntington disease. MATERIALS AND METHODS Local field shift, calculated from 7T MR phase images, was quantified in 13 subjects with premanifest Huntington disease and 13 age- and sex-matched controls. All participants underwent 3T and 7T MR imaging, including volumetric T1 and 7T gradient recalled-echo sequences. Local field shift maps were created from 7T phase data and registered to caudate ROIs automatically parcellated from the 3T T1 images. Huntington disease-specific disease burden and neurocognitive and motor evaluations were also performed and compared with local field shift. RESULTS Subjects with premanifest Huntington disease had smaller caudate volume and higher local field shift than controls. A significant correlation between these measurements was not detected, and prediction accuracy for disease state improved with inclusion of both variables. A positive correlation between local field shift and genetic disease burden was also found, and there was a trend toward significant correlations between local field shift and neurocognitive tests of working memory and executive function. CONCLUSIONS Subjects with premanifest Huntington disease exhibit differences in 7T MR imaging phase within the caudate nuclei that correlate with genetic disease burden and trend with neurocognitive assessments. Ultra-high-field MR imaging of quantitative phase may be a useful approach for monitoring neurodegeneration in premanifest Huntington disease.
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Affiliation(s)
- A C Apple
- From the Departments of Radiology and Biomedical Imaging (A.C.A., J.M.L., A.J., S.J.N., C.P.H.)
| | - K L Possin
- Neurology (K.L.P., G.S., E.J., K.W., G.A.K., S.J.S., J.H.K., M.D.G.), University of California, San Francisco
| | - G Satris
- Neurology (K.L.P., G.S., E.J., K.W., G.A.K., S.J.S., J.H.K., M.D.G.), University of California, San Francisco
| | - E Johnson
- Neurology (K.L.P., G.S., E.J., K.W., G.A.K., S.J.S., J.H.K., M.D.G.), University of California, San Francisco
| | - J M Lupo
- From the Departments of Radiology and Biomedical Imaging (A.C.A., J.M.L., A.J., S.J.N., C.P.H.)
| | - A Jakary
- From the Departments of Radiology and Biomedical Imaging (A.C.A., J.M.L., A.J., S.J.N., C.P.H.)
| | - K Wong
- Neurology (K.L.P., G.S., E.J., K.W., G.A.K., S.J.S., J.H.K., M.D.G.), University of California, San Francisco
| | - D A C Kelley
- GE Healthcare (D.A.C.K.), Global Applied Sciences Laboratory, Menlo Park, California
| | - G A Kang
- Neurology (K.L.P., G.S., E.J., K.W., G.A.K., S.J.S., J.H.K., M.D.G.), University of California, San Francisco
| | - S J Sha
- Neurology (K.L.P., G.S., E.J., K.W., G.A.K., S.J.S., J.H.K., M.D.G.), University of California, San Francisco
| | - J H Kramer
- Neurology (K.L.P., G.S., E.J., K.W., G.A.K., S.J.S., J.H.K., M.D.G.), University of California, San Francisco
| | - M D Geschwind
- Neurology (K.L.P., G.S., E.J., K.W., G.A.K., S.J.S., J.H.K., M.D.G.), University of California, San Francisco
| | - S J Nelson
- From the Departments of Radiology and Biomedical Imaging (A.C.A., J.M.L., A.J., S.J.N., C.P.H.)
| | - C P Hess
- From the Departments of Radiology and Biomedical Imaging (A.C.A., J.M.L., A.J., S.J.N., C.P.H.)
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Ning N, Zhang L, Gao J, Zhang Y, Ren Z, Niu G, Dai Y, Wu EX, Guo Y, Yang J. Assessment of iron deposition and white matter maturation in infant brains by using enhanced T2 star weighted angiography (ESWAN): R2* versus phase values. PLoS One 2014; 9:e89888. [PMID: 24587101 PMCID: PMC3934963 DOI: 10.1371/journal.pone.0089888] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2013] [Accepted: 01/26/2014] [Indexed: 11/26/2022] Open
Abstract
Background and Purpose Iron deposition and white matter (WM) maturation are very important for brain development in infants. It has been reported that the R2* and phase values originating from the gradient-echo sequence could both reflect the iron and myelination. The aim of this study was to investigate age-related changes of R2* and phase value, and compare their performances for monitoring iron deposition and WM maturation in infant brains. Methods 56 infants were examined by enhanced T2 star weighted angiography (ESWAN) and diffusion tensor imaging in the 1.5T MRI system. The R2* and phase values were measured from the deep gray nuclei and WM. Fractional anisotropy (FA) values were measured only in the WM regions. Correlation analyses were performed to explore the relation among the two parameters (R2* and phase values) and postmenstrual age (PMA), previously published iron concentrations as well as FA values. Results We found significantly positive correlations between the R2* values and PMA in both of the gray nuclei and WM. Moreover, R2* values had a positive correlation with the iron reference concentrations in the deep gray nuclei and the FA in the WM. However, phase values only had the positive correlation with PMA and FA in the internal capsule, and no significant correlation with PMA and iron content in the deep gray nuclei. Conclusions Compared with the phase values, R2* may be a preferable method to estimate the iron deposition and WM maturation in infant brains.
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Affiliation(s)
- Ning Ning
- Radiology Department of The First Affiliated Hospital, Xi’an Jiaotong University, Xi’an, Shaanxi, People’s Republic of China
- Nuclear Medicine Department of The Second Affiliate Hospital, Xi’an Jiaotong University, Xi’an, Shaanxi, People’s Republic of China
| | - Lei Zhang
- Radiology Department of The First Affiliated Hospital, Xi’an Jiaotong University, Xi’an, Shaanxi, People’s Republic of China
- Radiology Department of Baoji Center Hospital, Baoji, Shaanxi, People’s Republic of China
| | - Jie Gao
- Radiology Department of The First Affiliated Hospital, Xi’an Jiaotong University, Xi’an, Shaanxi, People’s Republic of China
| | - Yumiao Zhang
- Radiology Department of The First Affiliated Hospital, Xi’an Jiaotong University, Xi’an, Shaanxi, People’s Republic of China
| | - Zhuanqin Ren
- Radiology Department of Baoji Center Hospital, Baoji, Shaanxi, People’s Republic of China
| | - Gang Niu
- Radiology Department of The First Affiliated Hospital, Xi’an Jiaotong University, Xi’an, Shaanxi, People’s Republic of China
| | - Yongming Dai
- Radiology Department of The First Affiliated Hospital, Xi’an Jiaotong University, Xi’an, Shaanxi, People’s Republic of China
| | - Ed X. Wu
- Laboratory of Biomedical Imaging and Signal Processing, The University of Hong Kong, Hong Kong SAR, People’s Republic of China
| | - Youmin Guo
- Radiology Department of The First Affiliated Hospital, Xi’an Jiaotong University, Xi’an, Shaanxi, People’s Republic of China
| | - Jian Yang
- Radiology Department of The First Affiliated Hospital, Xi’an Jiaotong University, Xi’an, Shaanxi, People’s Republic of China
- * E-mail:
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Age-related decline in dopamine transporter in human brain using PET with a new radioligand [¹⁸F]FE-PE2I. Ann Nucl Med 2014; 28:220-6. [PMID: 24385293 DOI: 10.1007/s12149-013-0798-1] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2013] [Accepted: 12/09/2013] [Indexed: 10/25/2022]
Abstract
OBJECTIVE Dopamine transporter (DAT) density is considered as a marker of pre-synaptic function. Numerous neuroimaging studies have consistently demonstrated an age-related decrease in DAT density in normal human brain. However, the precise degree of the regional decline is not yet clear. The purpose of this study was to evaluate the effect of the normal aging process on DAT densities in human-specific brain regions including the substantia nigra and thalamus using positron emission tomography (PET) with [(18)F]FE-PE2I, a new PET radioligand with high affinity and selectivity for DAT. METHODS Thirty-six healthy volunteers ranging in age from 22 to 80 years were scanned with PET employing [(18)F]FE-PE2I for measuring DAT densities. Region of interest (ROI)-based analysis was used, and ROIs were manually defined for the caudate, putamen, substantia nigra, thalamus, and cerebellar cortex. DAT binding was quantified using a simplified reference tissue model, and the cerebellum was used as reference region. Estimations of binding potential in the caudate, putamen, substantia nigra, and thalamus were individually regressed according to age using simple regression analysis. Estimates of DAT loss per decade were obtained using the values from the regression slopes. RESULTS There were 7.6, 7.7, and 3.4% per-decade declines in DAT in the caudate, putamen, and substantia nigra, respectively. By contrast, there was no age-related decline of DAT in the thalamus. CONCLUSIONS [(18)F]FE-PE2I allowed reliable quantification of DAT, not only in the caudate and putamen but also in the substantia nigra. From the results, we demonstrated the age-related decline in the caudate and putamen as reported in previous studies, and additionally for those in the substantia nigra for the first time.
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Cappellani R, Bergsland N, Weinstock-Guttman B, Kennedy C, Carl E, Ramasamy DP, Hagemeier J, Dwyer MG, Patti F, Zivadinov R. Diffusion tensor MRI alterations of subcortical deep gray matter in clinically isolated syndrome. J Neurol Sci 2013; 338:128-34. [PMID: 24423584 DOI: 10.1016/j.jns.2013.12.031] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2013] [Revised: 12/13/2013] [Accepted: 12/19/2013] [Indexed: 12/29/2022]
Abstract
BACKGROUND Abnormalities in the gray matter (GM) of the brain parenchyma are present early in the course of multiple sclerosis. OBJECTIVES To quantify white matter (WM) and subcortical deep GM (SDGM) alterations in patients with clinically isolated syndrome (CIS) using diffusion tensor imaging (DTI). MATERIALS AND METHODS 45 CIS patients and 52 healthy controls (HC) were scanned on 3T MRI. Mean diffusivity (MD) and fractional anisotropy (FA) were calculated, in addition to the estimation of structural brain volume and lesion measurements. RESULTS FA was significantly lower in CIS patients in the whole brain (p<0.001), total SDGM (p<0.001), normal appearing (NA) GM (p=0.016), thalamus (p=0.029) putamen (p=0.036), caudate (p=0.041) and accumbens nuclei (p=0.041) compared to HC. No DTI MD or volumetric differences were detected in the brain parenchyma between CIS and HC groups. Normalized lateral ventricular volume was higher in CIS patients compared to HC (p=0.033). A significant association was detected between the increased T2 lesion number and volume and decreased FA of the NAWM (p=0.036), but not with FA of NAGM or SDGM structures. CONCLUSIONS Diffuse DTI alterations of GM structures, not associated with lesion formation, are present in CIS patients.
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Affiliation(s)
- Roberto Cappellani
- Buffalo Neuroimaging Analysis Center, Department of Neurology, State University of New York, Buffalo, NY, USA; Department GF Ingrassia, Section of Neurosciences, University of Catania, Italy
| | - Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, State University of New York, Buffalo, NY, USA
| | - Bianca Weinstock-Guttman
- The Jacobs Neurological Institute, Department of Neurology, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Cheryl Kennedy
- Buffalo Neuroimaging Analysis Center, Department of Neurology, State University of New York, Buffalo, NY, USA
| | - Ellen Carl
- Buffalo Neuroimaging Analysis Center, Department of Neurology, State University of New York, Buffalo, NY, USA
| | - Deepa P Ramasamy
- Buffalo Neuroimaging Analysis Center, Department of Neurology, State University of New York, Buffalo, NY, USA
| | - Jesper Hagemeier
- Buffalo Neuroimaging Analysis Center, Department of Neurology, State University of New York, Buffalo, NY, USA
| | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, State University of New York, Buffalo, NY, USA
| | - Francesco Patti
- Department GF Ingrassia, Section of Neurosciences, University of Catania, Italy
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, State University of New York, Buffalo, NY, USA; The Jacobs Neurological Institute, Department of Neurology, University at Buffalo, State University of New York, Buffalo, NY, USA.
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