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Alshehri A, Koussis N, Al-Iedani O, Arm J, Khormi I, Lea S, Lea R, Ramadan S, Lechner-Scott J. Diffusion tensor imaging changes of the cortico-thalamic-striatal tracts correlate with fatigue and disability in people with relapsing-remitting MS. Eur J Radiol 2024; 170:111207. [PMID: 37988961 DOI: 10.1016/j.ejrad.2023.111207] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 10/24/2023] [Accepted: 11/16/2023] [Indexed: 11/23/2023]
Abstract
PURPOSE To investigate how the microstructural neural integrity of cortico-thalamic-striatal (CTS) tracts correlate with fatigue and disability over time. The primary outcome was diffusion tensor imaging (DTI) metrics change over time, and the secondary outcome was correlations with fatigue and disability in people with RRMS (pw-RRMS). METHODS 76 clinically stable pw-RRMS and 43 matched healthy controls (HCs). The pw-RRMS cohort consisted of three different treatment subgroups. All participants underwent disability, cognitive, fatigue and mental health assessments. Structural and diffusion scans were performed at baseline (BL) and 2-year follow-up (2-YFU) for all participants. Fractional anisotropy (FA), mean, radial and axial diffusivities (MD, RD, AD) of normal-appearing white matter (NAWM) and white matter lesion (WML) in nine tracts-of-interests (TOIs) were estimated using our MRtrix3 in-house pipeline. RESULTS We found significant BL and 2-YFU differences in most diffusion metrics in TOIs in pw-RRMS compared to HCs (pFDR ≤ 0.001; false-detection-rate (FDR)-corrected). There was a significant decrease in WML diffusivities and an increase in FA over the follow-up period in most TOIs (pFDR ≤ 0.001). Additionally, there were no differences in DTI parameters across treatment groups. AD and MD were positively correlated with fatigue scores (r ≤ 0.33, p ≤ 0.01) in NAWM-TOIs, while disability (EDSS) was negatively correlated with FA in most NAWM-TOIs (|r|≤0.31, p ≤ 0.01) at both time points. Disability scores correlated with all diffusivity parameters (r ≤ 0.29, p ≤ 0.01) in most WML-TOIs at both time points. CONCLUSION Statistically significant changes in diffusion metrics in WML might be indicative of integrity improvement over two years in CTS tracts in clinically stable pw-RRMS. This finding represents structural changes within lesioned tracts. Measuring diffusivity in pw-RRMS affected tracts might be a relevant measure for future remyelination clinical trials.
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Affiliation(s)
- Abdulaziz Alshehri
- School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW 2308, Australia; Hunter Medical Research Institute, 1 Kookaburra circuit, New Lambton Heights, NSW 2305, Australia; Department of Radiology, King Fahad University Hospital, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia
| | - Nikitas Koussis
- Hunter Medical Research Institute, 1 Kookaburra circuit, New Lambton Heights, NSW 2305, Australia; School of Psychological Sciences, College of Engineering, Science and Environment, University of Newcastle, Callaghan, NSW 2308, Australia
| | - Oun Al-Iedani
- Hunter Medical Research Institute, 1 Kookaburra circuit, New Lambton Heights, NSW 2305, Australia; School of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW 2308, Australia
| | - Jameen Arm
- School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW 2308, Australia; Hunter Medical Research Institute, 1 Kookaburra circuit, New Lambton Heights, NSW 2305, Australia
| | - Ibrahim Khormi
- School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW 2308, Australia; Hunter Medical Research Institute, 1 Kookaburra circuit, New Lambton Heights, NSW 2305, Australia; College of Applied Medical Sciences, University of Jeddah, Jeddah, Saudi Arabia
| | - Stasson Lea
- Hunter Medical Research Institute, 1 Kookaburra circuit, New Lambton Heights, NSW 2305, Australia
| | - Rodney Lea
- Hunter Medical Research Institute, 1 Kookaburra circuit, New Lambton Heights, NSW 2305, Australia
| | - Saadallah Ramadan
- School of Health Sciences, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW 2308, Australia; Hunter Medical Research Institute, 1 Kookaburra circuit, New Lambton Heights, NSW 2305, Australia.
| | - Jeannette Lechner-Scott
- Hunter Medical Research Institute, 1 Kookaburra circuit, New Lambton Heights, NSW 2305, Australia; Department of Neurology, John Hunter Hospital, New Lambton Heights, Newcastle, 2305, Australia; School of Medicine and Public Health, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, NSW 2308, Australia
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Alshehri A, Al-iedani O, Koussis N, Khormi I, Lea R, Lechner-Scott J, Ramadan S. Stability of longitudinal DTI metrics in MS with treatment of injectables, fingolimod and dimethyl fumarate. Neuroradiol J 2023; 36:388-396. [PMID: 36395524 PMCID: PMC10588600 DOI: 10.1177/19714009221140511] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/20/2023] Open
Abstract
BACKGROUND AND PURPOSE Diffusion MRI (dMRI) is sensitive to microstructural changes in white matter of people with relapse-remitting multiple sclerosis (pw-RRMS) that lead to progressive disability. The role of diffusion in assessing the efficacy of different therapies requires more investigation. This study aimed to evaluate selected dMRI metrics in normal-appearing white matter and white matter-lesion in pw-RRMS and healthy controls longitudinally and compare the effect of therapies given. MATERIAL AND METHODS Structural and dMRI scans were acquired from 78 pw-RRMS (29 injectables, 36 fingolimod, 13 dimethyl fumarate) and 43 HCs at baseline and 2-years follow-up. Changes in dMRI metrics and correlation with clinical parameters were evaluated. RESULTS Differences were observed in most clinical parameters between pw-RRMS and HCs at both timepoints (p ≤ 0.01). No significant differences in average changes over time were observed for any dMRI metric between treatment groups in either tissue type. Diffusion metrics in NAWM and WML correlated negatively with most cognitive domains, while FA correlated positively at baseline but only for NAWM at follow-up (p ≤ 0.05). FA correlated negatively with disability in NAWM and WML over time, while MD and RD correlated positively only in NAWM. CONCLUSIONS This is the first DTI study comparing the effect of different treatments on dMRI parameters over time in a stable cohort of pw-RRMS. The results suggest that brain microstructural changes in a stable MS cohort are similar to HCs independent of the therapies used.
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Affiliation(s)
- Abdulaziz Alshehri
- School of Health Sciences, University of Newcastle College of Health, Medicine and Wellbeing, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Department of Radiology, Imam Abdulrahman Bin Faisal University King Fahd University Hospital, Dammam, Saudi Arabia
| | - Oun Al-iedani
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- School of Biomedical Sciences and Pharmacy, University of Newcastle College of Health, Medicine and Wellbeing, Callaghan, NSW, Australia
| | - Nikitas Koussis
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- School of Psychological Sciences, University of Newcastle College of Health, Medicine and Wellbeing, Callaghan, NSW, Australia
| | - Ibrahim Khormi
- School of Health Sciences, University of Newcastle College of Health, Medicine and Wellbeing, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- College of Applied Medical Sciences, University of Jeddah, Jeddah, Saudi Arabia
| | - Rodney Lea
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
| | - Jeannette Lechner-Scott
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
- Department of Neurology, John Hunter Hospital, New Lambton Heights, NSW, Australia
- School of Medicine and Public Health, University of Newcastle College of Health, Medicine and Wellbeing, Callaghan, NSW, Australia
| | - Saadallah Ramadan
- School of Health Sciences, University of Newcastle College of Health, Medicine and Wellbeing, Callaghan, NSW, Australia
- Hunter Medical Research Institute, New Lambton Heights, NSW, Australia
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York EN, Meijboom R, Thrippleton MJ, Bastin ME, Kampaite A, White N, Chandran S, Waldman AD. Longitudinal microstructural MRI markers of demyelination and neurodegeneration in early relapsing-remitting multiple sclerosis: Magnetisation transfer, water diffusion and g-ratio. Neuroimage Clin 2022; 36:103228. [PMID: 36265199 PMCID: PMC9668599 DOI: 10.1016/j.nicl.2022.103228] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 10/07/2022] [Accepted: 10/08/2022] [Indexed: 11/11/2022]
Abstract
INTRODUCTION Quantitative microstructural MRI, such as myelin-sensitive magnetisation transfer ratio (MTR) or saturation (MTsat), axon-sensitive water diffusion Neurite Orientation Dispersion and Density Imaging (NODDI), and the aggregate g-ratio, may provide more specific markers of white matter integrity than conventional MRI for early patient stratification in relapsing-remitting multiple sclerosis (RRMS). The aim of this study was to determine the sensitivity of such markers to longitudinal pathological change within cerebral white matter lesions (WML) and normal-appearing white matter (NAWM) in recently diagnosed RRMS. METHODS Seventy-nine people with recently diagnosed RRMS, from the FutureMS longitudinal cohort, were recruited to an extended MRI protocol at baseline and one year later. Twelve healthy volunteers received the same MRI protocol, repeated within two weeks. Ethics approval and written informed consent were obtained. 3T MRI included magnetisation transfer, and multi-shell diffusion-weighted imaging. NAWM and whole brain were segmented from 3D T1-weighted MPRAGE, and WML from T2-weighted FLAIR. MTR, MTsat, NODDI isotropic (ISOVF) and intracellular (ICVF) volume fractions, and g-ratio (calculated from MTsat and NODDI data) were measured within WML and NAWM. Brain parenchymal fraction (BPF) was also calculated. Longitudinal change in BPF and microstructural metrics was assessed with paired t-tests (α = 0.05) and linear mixed models, adjusted for confounding factors with False Discovery Rate (FDR) correction for multiple comparisons. Longitudinal changes were compared with test-retest Bland-Altman limits of agreement from healthy control white matter. The influence of longitudinal change on g-ratio was explored through post-hoc analysis in silico by computing g-ratio with realistic simulated MTsat and NODDI values. RESULTS In NAWM, g-ratio and ICVF increased, and MTsat decreased over one year (adjusted mean difference = 0.007, 0.005, and -0.057 respectively, all FDR-corrected p < 0.05). There was no significant change in MTR, ISOVF, or BPF. In WML, MTsat, NODDI ICVF and ISOVF increased over time (adjusted mean difference = 0.083, 0.024 and 0.016, respectively, all FDR-corrected p < 0.05). Group-level longitudinal changes exceeded test-retest limits of agreement for NODDI ISOVF and ICVF in WML only. In silico analysis showed g-ratio may increase due to a decrease in MTsat or ISOVF, or an increase in ICVF. DISCUSSION G-ratio and MTsat changes in NAWM over one year may indicate subtle myelin loss in early RRMS, which were not apparent with BPF or NAWM MTR. Increases in NAWM and WML NODDI ICVF were not anticipated, and raise the possibility of axonal swelling or morphological change. Increases in WML MTsat may reflect myelin repair. Changes in NODDI ISOVF are more likely to reflect alterations in water content. Competing MTsat and ICVF changes may account for the absence of g-ratio change in WML. Longitudinal changes in microstructural measures are significant at a group level, however detection in individual patients in early RRMS is limited by technique reproducibility. CONCLUSION MTsat and g-ratio are more sensitive than MTR to early pathological changes in RRMS, but complex dependence of g-ratio on NODDI parameters limit the interpretation of aggregate measures in isolation. Improvements in technique reproducibility and validation of MRI biophysical models across a range of pathological tissue states are needed.
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Affiliation(s)
- Elizabeth N York
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom; Edinburgh Imaging, University of Edinburgh, Edinburgh, United Kingdom; Anne Rowling Regenerative Neurology Clinic, Edinburgh, United Kingdom.
| | - Rozanna Meijboom
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom; Edinburgh Imaging, University of Edinburgh, Edinburgh, United Kingdom
| | - Michael J Thrippleton
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom; Edinburgh Imaging, University of Edinburgh, Edinburgh, United Kingdom
| | - Mark E Bastin
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom; Edinburgh Imaging, University of Edinburgh, Edinburgh, United Kingdom
| | - Agniete Kampaite
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom; Edinburgh Imaging, University of Edinburgh, Edinburgh, United Kingdom
| | - Nicole White
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom; Edinburgh Imaging, University of Edinburgh, Edinburgh, United Kingdom
| | - Siddharthan Chandran
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom; Anne Rowling Regenerative Neurology Clinic, Edinburgh, United Kingdom; UK Dementia Research Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Adam D Waldman
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom; Edinburgh Imaging, University of Edinburgh, Edinburgh, United Kingdom.
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Oladosu O, Liu WQ, Brown L, Pike BG, Metz LM, Zhang Y. Advanced diffusion MRI and image texture analysis detect widespread brain structural differences between relapsing-remitting and secondary progressive multiple sclerosis. Front Hum Neurosci 2022; 16:944908. [PMID: 36034111 PMCID: PMC9413838 DOI: 10.3389/fnhum.2022.944908] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Accepted: 07/18/2022] [Indexed: 11/29/2022] Open
Abstract
Introduction Disease development in multiple sclerosis (MS) causes dramatic structural changes, but the exact changing patterns are unclear. Our objective is to investigate the differences in brain structure locally and spatially between relapsing-remitting MS (RRMS) and its advanced form, secondary progressive MS (SPMS), through advanced analysis of diffusion magnetic resonance imaging (MRI) and image texture. Methods A total of 20 patients with RRMS and nine patients with SPMS from two datasets underwent 3T anatomical and diffusion tensor imaging (DTI). The DTI was harmonized, augmented, and then modeled, which generated six voxel- and sub-voxel-scale measures. Texture analysis focused on T2 and FLAIR MRI, which produced two phase-based measures, namely, phase congruency and weighted mean phase. Data analysis was 3-fold, i.e., histogram analysis of whole-brain normal appearing white matter (NAWM); region of interest (ROI) analysis of NAWM and lesions within three critical white matter tracts, namely, corpus callosum, corticospinal tract, and optic radiation; and along-tract statistics. Furthermore, by calculating the z-score of core-rim pathology within lesions based on diffusion measures, we developed a novel method to define chronic active lesions and compared them between cohorts. Results Histogram features from diffusion and all but one texture measure differentiated between RRMS and SPMS. Within-tract ROI analysis detected cohort differences in both NAWM and lesions of the corpus callosum body in three measures of neurite orientation and anisotropy. Along-tract statistics detected cohort differences from multiple measures, particularly lesion extent, which increased significantly in SPMS in posterior corpus callosum and optic radiations. The number of chronic active lesions were also significantly higher (by 5-20% over z-scores 0.5 and 1.0) in SPMS than RRMS based on diffusion anisotropy, neurite content, and diameter. Conclusion Advanced diffusion MRI and texture analysis may be promising approaches for thorough understanding of brain structural changes from RRMS to SPMS, thereby providing new insight into disease development mechanisms in MS.
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Affiliation(s)
- Olayinka Oladosu
- Department of Neuroscience, Faculty of Graduate Studies, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Wei-Qiao Liu
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Lenora Brown
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Bruce G. Pike
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Luanne M. Metz
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Yunyan Zhang
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
- Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Radiology, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
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Pani J, Eikenes L, Reitlo LS, Stensvold D, Wisløff U, Håberg AK. Effects of a 5-Year Exercise Intervention on White Matter Microstructural Organization in Older Adults. A Generation 100 Substudy. Front Aging Neurosci 2022; 14:859383. [PMID: 35847676 PMCID: PMC9278017 DOI: 10.3389/fnagi.2022.859383] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 05/25/2022] [Indexed: 12/13/2022] Open
Abstract
Aerobic fitness and exercise could preserve white matter (WM) integrity in older adults. This study investigated the effect on WM microstructural organization of 5 years of exercise intervention with either supervised moderate-intensity continuous training (MICT), high-intensity interval training (HIIT), or following the national physical activity guidelines. A total of 105 participants (70-77 years at baseline), participating in the randomized controlled trial Generation 100 Study, volunteered to take part in this longitudinal 3T magnetic resonance imaging (MRI) study. The HIIT group (n = 33) exercised for four intervals of 4 min at 90% of peak heart rate two times a week, the MICT group (n = 24) exercised continuously for 50 min at 70% peak heart rate two times a week, and the control group (n = 48) followed the national guidelines of ≥30 min of physical activity almost every day. At baseline and at 1-, 3-, and 5-year follow-ups, diffusion tensor imaging (DTI) scans were performed, cardiorespiratory fitness (CRF) was measured as peak oxygen uptake (VO2peak) with ergospirometry, and information on exercise habits was collected. There was no group*time or group effect on any of the DTI indices at any time point during the intervention. Across all groups, CRF was positively associated with fractional anisotropy (FA) and axial diffusivity (AxD) at the follow-ups, and the effect became smaller with time. Exercise intensity was associated with mean diffusivity (MD)/FA, with the greatest effect at 1-year and no effect at 5-year follow-up. There was an association between exercise duration and FA and radial diffusivity (RD) only after 1 year. Despite the lack of group*time interaction or group effect, both higher CRF and exercise intensity was associated with better WM microstructural organization throughout the intervention, but the effect became attenuated over time. Different aspects of exercising affected the WM metrics and WM tracts differently with the greatest and most overlapping effects in the corpus callosum. The current study indicates not only that high CRF and exercise intensity are associated with WM microstructural organization in aging but also that exercise's positive effects on WM may decline with increasing age.
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Affiliation(s)
- Jasmine Pani
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Radiology and Nuclear Medicine, St Olav’s University Hospital, Trondheim, Norway
| | - Live Eikenes
- Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Line S. Reitlo
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Dorthe Stensvold
- Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
| | - Ulrik Wisløff
- Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
- School of Human Movement and Nutrition Sciences, Faculty of Health and Behavioural Sciences, The University of Queensland, Brisbane, QLD, Australia
| | - Asta Kristine Håberg
- Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
- Department of Radiology and Nuclear Medicine, St Olav’s University Hospital, Trondheim, Norway
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York EN, Thrippleton MJ, Meijboom R, Hunt DPJ, Waldman AD. Quantitative magnetization transfer imaging in relapsing-remitting multiple sclerosis: a systematic review and meta-analysis. Brain Commun 2022; 4:fcac088. [PMID: 35652121 PMCID: PMC9149789 DOI: 10.1093/braincomms/fcac088] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Revised: 12/17/2021] [Accepted: 03/31/2022] [Indexed: 11/28/2022] Open
Abstract
Myelin-sensitive MRI such as magnetization transfer imaging has been widely used in multiple sclerosis. The influence of methodology and differences in disease subtype on imaging findings is, however, not well established. Here, we systematically review magnetization transfer brain imaging findings in relapsing-remitting multiple sclerosis. We examine how methodological differences, disease effects and their interaction influence magnetization transfer imaging measures. Articles published before 06/01/2021 were retrieved from online databases (PubMed, EMBASE and Web of Science) with search terms including 'magnetization transfer' and 'brain' for systematic review, according to a pre-defined protocol. Only studies that used human in vivo quantitative magnetization transfer imaging in adults with relapsing-remitting multiple sclerosis (with or without healthy controls) were included. Additional data from relapsing-remitting multiple sclerosis subjects acquired in other studies comprising mixed disease subtypes were included in meta-analyses. Data including sample size, MRI acquisition protocol parameters, treatments and clinical findings were extracted and qualitatively synthesized. Where possible, effect sizes were calculated for meta-analyses to determine magnetization transfer (i) differences between patients and healthy controls; (ii) longitudinal change and (iii) relationships with clinical disability in relapsing-remitting multiple sclerosis. Eighty-six studies met inclusion criteria. MRI acquisition parameters varied widely, and were also underreported. The majority of studies examined the magnetization transfer ratio in white matter, but magnetization transfer metrics, brain regions examined and results were heterogeneous. The analysis demonstrated a risk of bias due to selective reporting and small sample sizes. The pooled random-effects meta-analysis across all brain compartments revealed magnetization transfer ratio was 1.17 per cent units (95% CI -1.42 to -0.91) lower in relapsing-remitting multiple sclerosis than healthy controls (z-value: -8.99, P < 0.001, 46 studies). Linear mixed-model analysis did not show a significant longitudinal change in magnetization transfer ratio across all brain regions [β = 0.12 (-0.56 to 0.80), t-value = 0.35, P = 0.724, 14 studies] or normal-appearing white matter alone [β = 0.037 (-0.14 to 0.22), t-value = 0.41, P = 0.68, eight studies]. There was a significant negative association between the magnetization transfer ratio and clinical disability, as assessed by the Expanded Disability Status Scale [r = -0.32 (95% CI -0.46 to -0.17); z-value = -4.33, P < 0.001, 13 studies]. Evidence suggests that magnetization transfer imaging metrics are sensitive to pathological brain changes in relapsing-remitting multiple sclerosis, although effect sizes were small in comparison to inter-study variability. Recommendations include: better harmonized magnetization transfer acquisition protocols with detailed methodological reporting standards; larger, well-phenotyped cohorts, including healthy controls; and, further exploration of techniques such as magnetization transfer saturation or inhomogeneous magnetization transfer ratio.
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Affiliation(s)
- Elizabeth N. York
- Centre for Clinical Brain Sciences, University of
Edinburgh, Edinburgh, UK
| | | | - Rozanna Meijboom
- Centre for Clinical Brain Sciences, University of
Edinburgh, Edinburgh, UK
| | - David P. J. Hunt
- Centre for Clinical Brain Sciences, University of
Edinburgh, Edinburgh, UK
- UK Dementia Research Institute, University of
Edinburgh, Edinburgh, UK
- Anne Rowling Regenerative Neurology Clinic,
University of Edinburgh, Edinburgh, UK
| | - Adam D. Waldman
- Centre for Clinical Brain Sciences, University of
Edinburgh, Edinburgh, UK
- UK Dementia Research Institute, University of
Edinburgh, Edinburgh, UK
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Muncy NM, Kimbler A, Hedges-Muncy AM, McMakin DL, Mattfeld AT. General additive models address statistical issues in diffusion MRI: An example with clinically anxious adolescents. Neuroimage Clin 2022; 33:102937. [PMID: 35033812 PMCID: PMC8762458 DOI: 10.1016/j.nicl.2022.102937] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Revised: 12/10/2021] [Accepted: 01/03/2022] [Indexed: 11/29/2022]
Abstract
Statistical models employed to test for group differences in quantized diffusion-weighted MRI white matter tracts often fail to account for the large number of data points per tract in addition to the distribution, type, and interdependence of the data. To address these issues, we propose the use of Generalized Additive Models (GAMs) and supply code and examples to aid in their implementation. Specifically, using diffusion data from 73 periadolescent clinically anxious and no-psychiatric-diagnosis control participants, we tested for group tract differences and show that a GAM allows for the identification of differences within a tract while accounting for the nature of the data as well as covariates and group factors. Further, we then used these tract differences to investigate their association with performance on a memory test. When comparing our high versus low anxiety groups, we observed a positive association between the left uncinate fasciculus and memory overgeneralization for negatively valenced stimuli. This same association was not evident in the right uncinate or anterior forceps. These findings illustrate that GAMs are well-suited for modeling diffusion data while accounting for various aspects of the data, and suggest that the adoption of GAMs will be a powerful investigatory tool for diffusion-weighted analyses.
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Affiliation(s)
- Nathan M Muncy
- Center for Children and Families, Florida International University, Miami, Florida, USA.
| | - Adam Kimbler
- Center for Children and Families, Florida International University, Miami, Florida, USA
| | | | - Dana L McMakin
- Center for Children and Families, Florida International University, Miami, Florida, USA
| | - Aaron T Mattfeld
- Center for Children and Families, Florida International University, Miami, Florida, USA
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Mayo CD, Harrison L, Attwell-Pope K, Stuart-Hill L, Gawryluk JR. A pilot study of the impact of an exercise intervention on brain structure, cognition, and psychosocial symptoms in individuals with relapsing-remitting multiple sclerosis. Pilot Feasibility Stud 2021; 7:65. [PMID: 33685527 PMCID: PMC7938608 DOI: 10.1186/s40814-021-00806-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Accepted: 02/22/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Despite pharmacological treatment, many individuals with multiple sclerosis (MS) continue to experience symptoms and medication side effects. Exercise holds promise for MS, but changes in brain structure following exercise have not been thoroughly investigated, and important cognitive and psychosocial variables are rarely primary outcomes. The aim of this pilot study was to investigate whether a 12-week exercise intervention would improve white matter integrity in the brain, or cognition, symptoms of fatigue, and depressed mood for individuals with relapsing-remitting MS (RRMS). METHOD Thirteen participants completed 12 weeks of speeded walking. Baseline and post-intervention testing included 3T diffusion tensor imaging (DTI) to assess white matter and neuropsychological testing to assess cognition, fatigue, and mood. Image pre-processing and analyses were performed in functional magnetic resonance imaging of the Brain Software Library. RESULTS Post-intervention, there were no significant changes in white matter compared to baseline. Post-intervention, individuals with RRMS performed significantly better on the Symbol Digit Modalities Test (SDMT), reported fewer perceived memory problems, and endorsed less fatigue. Performance was not significantly different on Trails or Digit Span, and there were no significant changes in reports of mood. CONCLUSION Although 12 weeks of speeded walking did not improve white matter integrity, exercise may hold promise for managing some symptoms of RRMS in the context of this study population.
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Affiliation(s)
- Chantel D Mayo
- Department of Psychology, University of Victoria, PO Box 1700, STN CSC, Victoria, British Columbia, Canada
- Institute on Aging and Lifelong Health, University of Victoria, Victoria, British Columbia, Canada
| | | | | | - Lynneth Stuart-Hill
- School of Exercise Science, Physical Health and Education, University of Victoria, Victoria, British Columbia, Canada
| | - Jodie R Gawryluk
- Department of Psychology, University of Victoria, PO Box 1700, STN CSC, Victoria, British Columbia, Canada.
- Institute on Aging and Lifelong Health, University of Victoria, Victoria, British Columbia, Canada.
- Division of Medical Sciences, University of Victoria, Victoria, British Columbia, Canada.
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Bernitsas E, Kopinsky H, Lichtman-Mikol S, Razmjou S, Santiago-Martinez C, Yarraguntla K, Bao F. Multimodal MRI Response to Fingolimod in Multiple Sclerosis: A Nonrandomized, Single Arm, Observational Study. J Neuroimaging 2020; 31:379-387. [PMID: 33368776 DOI: 10.1111/jon.12824] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Revised: 11/22/2020] [Accepted: 11/30/2020] [Indexed: 11/28/2022] Open
Abstract
BACKGROUND AND PURPOSE Fingolimod has a favorable effect on conventional MRI measures; however, its neuroprotective effect is not clear. We aim to investigate changes of conventional and advanced MRI measures in lesions and normal-appearing white matter (NAWM) over 2 years in fingolimod-treated patients. METHODS Fifty relapsing-remitting multiple sclerosis patients and 27 healthy controls were enrolled in the study and underwent baseline, 1-year, and 2-year 3T MRI scans. T2 lesion volume, whole brain volume, cortical gray matter volume, white matter volume, corpus callosum area, percentage brain volume change (PBVC), Expanded Disability Status Scale, gadolinium-enhancing lesions, PBVC, magnetization transfer ratio (MTR), and diffusion tensor imaging metrics (fractional anisotropy [FA] and median diffusivity [MD]) in lesions and NAWM were calculated. Longitudinal changes were examined using one-way repeated measures ANOVA. Bonferroni correction for multiple testing was used when appropriate. RESULTS Conventional MRI measures were unchanged in both groups. Lesion MTR increased significantly (P < .001), but NAWM-MTR remained unchanged. Lesion FA improved significantly in year 1 (P = .003) and over the study duration (P = .05). Lesion MD changed significantly from baseline to year 1 (P < .001) and remained stable over 2 years. NAWM-FA was significant from baseline to year 1 (P = .002) and from baseline to year 2 (P < .001). NAWM-MD was significant only from baseline to year 1 (P = .001). CONCLUSIONS These findings suggest a possible neuroreparative effect of fingolimod on the MS lesions and NAWM. Larger and longer randomized studies are required to confirm these results.
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Affiliation(s)
- Evanthia Bernitsas
- Department of Neurology, Wayne State University School of Medicine, Detroit, MI
| | - Hannah Kopinsky
- Department of Neurology, Wayne State University School of Medicine, Detroit, MI
| | | | - Sarah Razmjou
- Department of Neurology, Wayne State University School of Medicine, Detroit, MI
| | | | - Kalyan Yarraguntla
- Department of Neurology, Wayne State University School of Medicine, Detroit, MI
| | - Fen Bao
- Department of Neurology, Wayne State University School of Medicine, Detroit, MI
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10
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Imaging in mice and men: Pathophysiological insights into multiple sclerosis from conventional and advanced MRI techniques. Prog Neurobiol 2019; 182:101663. [PMID: 31374243 DOI: 10.1016/j.pneurobio.2019.101663] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Revised: 06/17/2019] [Accepted: 07/17/2019] [Indexed: 01/16/2023]
Abstract
Magnetic resonance imaging (MRI) is the most important tool for diagnosing multiple sclerosis (MS). However, MRI is still unable to precisely quantify the specific pathophysiological processes that underlie imaging findings in MS. Because autopsy and biopsy samples of MS patients are rare and biased towards a chronic burnt-out end or fulminant acute early stage, the only available methods to identify human disease pathology are to apply MRI techniques in combination with subsequent histopathological examination to small animal models of MS and to transfer these insights to MS patients. This review summarizes the existing combined imaging and histopathological studies performed in MS mouse models and humans with MS (in vivo and ex vivo), to promote a better understanding of the pathophysiology that underlies conventional MRI, diffusion tensor and magnetization transfer imaging findings in MS patients. Moreover, it provides a critical view on imaging capabilities and results in MS patients and mouse models and for future studies recommends how to combine those particular MR sequences and parameters whose underlying pathophysiological basis could be partly clarified. Further combined longitudinal in vivo imaging and histopathological studies on rationally selected, appropriate mouse models are required.
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11
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Gajamange S, Stankovich J, Egan G, Kilpatrick T, Butzkueven H, Fielding J, van der Walt A, Kolbe S. Early imaging predictors of longer term multiple sclerosis risk and severity in acute optic neuritis. Mult Scler J Exp Transl Clin 2019; 5:2055217319863122. [PMID: 31384479 PMCID: PMC6651676 DOI: 10.1177/2055217319863122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2019] [Accepted: 06/11/2019] [Indexed: 11/26/2022] Open
Abstract
Background Biomarkers are urgently required for predicting the likely progression of multiple sclerosis (MS) at the earliest stages of the disease to aid in personalised therapy. Objective We aimed to examine early brain volumetric and microstructural changes and retinal nerve fibre layer thinning as predictors of longer term MS severity in patients with clinically isolated syndromes (CIS). Methods Lesion metrics, brain and regional atrophy, diffusion fractional anisotropy and retinal nerve fibre layer thickness were prospectively assessed in 36 patients with CIS over the first 12 months after presentation and compared with clinical outcomes at longer term follow-up [median (IQR) = 8.5 (7.8–8.9) years]. Results In total, 25 (69%) patients converted to MS and had greater baseline lesion volume (p = 0.008) and number (p = 0.03)than CIS patients. Over the initial 12 months, new lesions (p = 0.0001), retinal nerve fibre layer thinning (p = 0.04) and ventricular enlargement (p = 0.03) were greater in MS than CIS patients. In MS patients, final Expanded Disability Status Scale score correlated with retinal nerve fibre layer thinning over the first 12 months (ρ = −0.67, p = 0.001). Conclusions Additional to lesion metrics, early measurements of fractional anisotropy and retinal nerve fibre layer thinning are informative about longer term clinical outcomes in CIS.
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Affiliation(s)
- Sanuji Gajamange
- Department of Medicine and Radiology, University of Melbourne, Australia
| | - Jim Stankovich
- Department of Neuroscience, Central Clinical School, Monash University, Australia
| | - Gary Egan
- Monash Biomedical Imaging, Monash University, Australia
| | | | - Helmut Butzkueven
- Department of Neuroscience, Central Clinical School, Monash University, Australia
| | - Joanne Fielding
- Department of Neuroscience, Central Clinical School, Monash University, Australia
| | - Anneke van der Walt
- Department of Neuroscience, Central Clinical School, Monash University, Australia
| | - Scott Kolbe
- Department of Neuroscience, Central Clinical School, Monash University, Australia
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12
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Baldassari LE, Feng J, Clayton BLL, Oh SH, Sakaie K, Tesar PJ, Wang Y, Cohen JA. Developing therapeutic strategies to promote myelin repair in multiple sclerosis. Expert Rev Neurother 2019; 19:997-1013. [PMID: 31215271 DOI: 10.1080/14737175.2019.1632192] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
Introduction: Approved disease-modifying therapies for multiple sclerosis (MS) lessen inflammatory disease activity that causes relapses and MRI lesions. However, chronic inflammation and demyelination lead to axonal degeneration and neuronal loss, for which there currently is no effective treatment. There has been increasing interest in developing repair-promoting strategies, but there are important unanswered questions regarding the mechanisms and appropriate methods to evaluate these treatments. Areas covered: The rationale for remyelinating agents in MS is discussed, with an overview of both myelin physiology and endogenous repair mechanisms. This is followed by a discussion of the identification and development of potential remyelinating drugs. Potential biomarkers of remyelination are reviewed, including considerations regarding measuring remyelination in clinical trials. Information and data were obtained from a search of recent literature through PubMed. Peer-reviewed original articles and review articles were included. Expert opinion: There are several obstacles to the translation of potential remyelinating agents to clinical trials, particularly uncertainty regarding the most appropriate study population and method to monitor remyelination. Refinements in clinical trial design and outcome measurement, potentially via advanced imaging techniques, are needed to optimize detection of repair in patients with MS.
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Affiliation(s)
- Laura E Baldassari
- Mellen Center for MS Treatment and Research, Cleveland Clinic , Cleveland , OH , USA
| | - Jenny Feng
- Mellen Center for MS Treatment and Research, Cleveland Clinic , Cleveland , OH , USA
| | - Benjamin L L Clayton
- Department of Genetics and Genome Sciences, Case Western Reserve University School of Medicine , Cleveland , OH , USA
| | - Se-Hong Oh
- Department of Biomedical Engineering, Hankuk University of Foreign Studies , Yongin , Republic of Korea
| | - Ken Sakaie
- Imaging Institute, Cleveland Clinic , Cleveland , OH , USA
| | - Paul J Tesar
- Department of Genetics and Genome Sciences, Case Western Reserve University School of Medicine , Cleveland , OH , USA
| | - Yanming Wang
- Department of Radiology, Case Western Reserve University School of Medicine , Cleveland , OH , USA
| | - Jeffrey A Cohen
- Mellen Center for MS Treatment and Research, Cleveland Clinic , Cleveland , OH , USA
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13
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Feng J, Offerman E, Lin J, Fisher E, Planchon SM, Sakaie K, Lowe M, Nakamura K, Cohen JA, Ontaneda D. Exploratory MRI measures after intravenous autologous culture-expanded mesenchymal stem cell transplantation in multiple sclerosis. Mult Scler J Exp Transl Clin 2019; 5:2055217319856035. [PMID: 31236284 PMCID: PMC6572894 DOI: 10.1177/2055217319856035] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2019] [Revised: 04/15/2019] [Accepted: 05/13/2019] [Indexed: 12/12/2022] Open
Abstract
Background Mesenchymal stem cells (MSC) have immunomodulatory and neuro-protective properties and are being studied for treatment of multiple sclerosis (MS). Tractography-based diffusion tensor imaging (DTI), cortical thickness (Cth) and T2 lesion volume (T2LV) can provide insight into treatment effects. Objective The objective of this study was to analyse the effects of MSC transplantation in MS on exploratory MRI measures. Methods MRIs were obtained from 24 MS patients from a phase 1 open-label study of autologous MSC transplantation. DTI metrics were obtained in lesions and normal-appearing white matter motor tracts (NAWM). T2LV and Cth were derived. Longitudinal evolution of MRI outcomes were modelled using linear mixed effects. Pearson’s correlation was calculated between MRI and clinical measures. Results Lesional radial diffusivity (RD) and axial diffusivity (AD) decreased pre-transplant and showed no changes post-transplant. There were mixed trends in NAWM RD and AD pre/post-transplant. Transplantation stabilized T2LV growth. NAWM RD and AD correlated with Cth, T2LV and with leg and arm function but not with cognition. Lesional DTI demonstrated similar but less robust correlations. Conclusions Microstructural tissue integrity is altered in MS. DTI changes pre-transplant may be influenced by concomitant lesion accrual. Contributor to DTI stabilization post-transplant is multifactorial. DTI of major motor tracts correlated well with clinical measures, highlighting its sensitivity to clinically meaningful changes.
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Affiliation(s)
- Jenny Feng
- Mellen Center for Multiple Sclerosis Treatment and Research, Cleveland Clinic, USA
| | | | - Jian Lin
- Imaging Institute, Cleveland Clinic, USA
| | | | - Sarah M Planchon
- Mellen Center for Multiple Sclerosis Treatment and Research, Cleveland Clinic, USA
| | | | - Mark Lowe
- Imaging Institute, Cleveland Clinic, USA
| | | | - Jeffrey A Cohen
- Mellen Center for Multiple Sclerosis Treatment and Research, Cleveland Clinic, USA
| | - Daniel Ontaneda
- Mellen Center for Multiple Sclerosis Treatment and Research, Cleveland Clinic, USA
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14
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Barghi A, Allendorfer JB, Taub E, Womble B, Hicks JM, Uswatte G, Szaflarski JP, Mark VW. Phase II Randomized Controlled Trial of Constraint-Induced Movement Therapy in Multiple Sclerosis. Part 2: Effect on White Matter Integrity. Neurorehabil Neural Repair 2019; 32:233-241. [PMID: 29668401 DOI: 10.1177/1545968317753073] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
BACKGROUND Constraint-induced movement therapy (CIMT) is a method of physical rehabilitation that has demonstrated clinical efficacy in patients with chronic stroke, cerebral palsy, and multiple sclerosis (MS). OBJECTIVE This pilot randomized controlled trial tested whether CIMT can also induce increases in white matter integrity in patients with MS. METHODS Twenty adults with chronic hemiparetic MS were randomized to receive either CIMT or complementary and alternative medicine (CAM) treatment (reported in the first article of this pair). Structural white matter change was assessed by tract-based spatial statistics (TBSS); measures included fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD). RESULTS CIMT and CAM groups did not differ in pretreatment disability or expectancy to benefit. As noted in the companion paper, the motor activity log (MAL) improved more after CIMT than CAM ( P < .001); the within-group effect size for CIMT was 3.7 (large d' = 0.57), while for CAM it was just 0.7. Improvements in white matter integrity followed CIMT and were observed in the contralateral corpus callosum (FA, P < .05), ipsilateral superior occipital gyrus (AD, P < .05), ipsilateral superior temporal gyrus (FA, P < .05), and contralateral corticospinal tract (MD and RD, P < .05). CONCLUSION CIMT produced a very large improvement in real-world limb use and induced white matter changes in patients with hemiparetic MS when compared with CAM. The findings suggest in preliminary fashion that the adverse changes in white matter integrity induced by MS might be reversed by CIMT. CLINICAL TRIAL REGISTRATION NUMBER ClinicalTrials.gov (NCT01081275).
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Affiliation(s)
| | | | - Edward Taub
- 2 University of Alabama at Birmingham, Birmingham, AL, USA
| | - Brent Womble
- 2 University of Alabama at Birmingham, Birmingham, AL, USA
| | - Jarrod M Hicks
- 2 University of Alabama at Birmingham, Birmingham, AL, USA
| | | | | | - Victor W Mark
- 2 University of Alabama at Birmingham, Birmingham, AL, USA
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15
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Toschi N, De Santis S, Granberg T, Ouellette R, Treaba CA, Herranz E, Mainero C. Evidence for Progressive Microstructural Damage in Early Multiple Sclerosis by Multi-Shell Diffusion Magnetic Resonance Imaging. Neuroscience 2019; 403:27-34. [PMID: 30708049 DOI: 10.1016/j.neuroscience.2019.01.022] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2018] [Revised: 01/12/2019] [Accepted: 01/14/2019] [Indexed: 12/21/2022]
Abstract
In multiple sclerosis (MS), it would be of clinical value to be able to track the progression of axonal pathology, especially before the manifestation of clinical disability. However, non-invasive evaluation of short-term longitudinal progression of white matter integrity is challenging. This study aims at assessing longitudinal changes in the restricted (i.e. intracellular) diffusion signal fraction (FR) in early-stage MS by using ultra-high gradient strength multi-shell diffusion magnetic resonance imaging. In 11 early MS subjects (disease duration ≤5 years), FR was obtained at two timepoints (one year apart) through the Composite Hindered and Restricted Model of Diffusion, along with conventional Diffusion Tensor Imaging metrics. At follow-up, no statistically significant change was detected in clinical variables, while all imaging metrics showed statistically significant longitudinal changes (p < 0.01, corrected for multiple comparisons) in widespread regions in normal-appearing white matter (NAWM). The most extensive longitudinal changes were observed in FR, including areas known to include a large fraction of crossing fibers. Furthermore, FR was also the only metric showing significant longitudinal changes in lesions that were present at both time points (p = 0.007), with no significant differences found for conventional diffusion metrics. Finally, FR was the only diffusion metric (as compared to Diffusion Tensor Imaging) that revealed pre-lesional changes already present at baseline. Taken together, our data provide evidence for progressive microstructural damage in the NAWM of early MS cases detectable already at 1-year follow-up. Our study highlights the value of multi-shell diffusion imaging for sensitive tracking of disease evolution in MS before any clinical changes are observed. This article is part of a Special Issue entitled: SI: MRI and Neuroinflammation.
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Affiliation(s)
- Nicola Toschi
- Athinoula A. Martinos Center for Biomedical Imaging and Harvard Medical School, Boston, MA, USA; Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy.
| | - Silvia De Santis
- Instituto de Neurociencias de Alicante (CSIC-UMH), San Juan de Alicante, Spain; Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, UK
| | - Tobias Granberg
- Athinoula A. Martinos Center for Biomedical Imaging and Harvard Medical School, Boston, MA, USA; Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Department of Radiology, Karolinska University Hospital, Stockholm, Sweden
| | - Russell Ouellette
- Athinoula A. Martinos Center for Biomedical Imaging and Harvard Medical School, Boston, MA, USA; Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Constantina A Treaba
- Athinoula A. Martinos Center for Biomedical Imaging and Harvard Medical School, Boston, MA, USA
| | - Elena Herranz
- Athinoula A. Martinos Center for Biomedical Imaging and Harvard Medical School, Boston, MA, USA
| | - Caterina Mainero
- Athinoula A. Martinos Center for Biomedical Imaging and Harvard Medical School, Boston, MA, USA
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16
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Kolasa M, Hakulinen U, Brander A, Hagman S, Dastidar P, Elovaara I, Sumelahti ML. Diffusion tensor imaging and disability progression in multiple sclerosis: A 4-year follow-up study. Brain Behav 2019; 9:e01194. [PMID: 30588771 PMCID: PMC6346728 DOI: 10.1002/brb3.1194] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/10/2018] [Revised: 11/26/2018] [Accepted: 12/05/2018] [Indexed: 11/09/2022] Open
Abstract
OBJECTIVES Diffusion tensor imaging (DTI) is sensitive technique to detect widespread changes in water diffusivity in the normal-appearing white matter (NAWM) that appears unaffected in conventional magnetic resonance imaging. We aimed to investigate the prognostic value and stability of DTI indices in the NAWM of the brain in an assessment of disability progression in patients with a relapsing-onset multiple sclerosis (MS). METHODS Forty-six MS patients were studied for DTI indices (fractional anisotropy (FA), mean diffusivity (MD), radial (RD), and axial (AD) diffusivity) in the NAWM of the corpus callosum (CC) and the internal capsule at baseline and at 1 year after. DTI analysis for 10 healthy controls was also performed at baseline. Simultaneously, focal brain lesion volume and atrophy measurements were done at baseline for MS patients. Associations between DTI indices, volumetric measurements, and disability progression over 4 years were studied by multivariate logistic regression analysis. RESULTS At baseline, most DTI metrics differed significantly between MS patients and healthy controls. There was tendency for associations between baseline DTI indices in the CC and disability progression (p < 0.05). Changes in DTI indices over 1 year were observed only in the CC (p < 0.008), and those changes were not found to predict clinical worsening over 4 years. Clear-cut association with disability progression was not detected for baseline volumetric measurements. CONCLUSION Aberrant diffusivity measures in the NAWM of the CC may provide additional information for individual disability progression over 4 years in MS with the relapsing-onset disease. CC may be a good target for DTI measurements in monitoring disease activity in MS, and more studies are needed to assess the related prognostic potential.
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Affiliation(s)
- Marcin Kolasa
- Faculty of Medicine and Life Sciences, Tampere University, Tampere, Finland.,Department of Radiology, Medical Imaging Center of Pirkanmaa Hospital District, Tampere University Hospital, Tampere, Finland
| | - Ullamari Hakulinen
- Department of Radiology, Medical Imaging Center of Pirkanmaa Hospital District, Tampere University Hospital, Tampere, Finland.,Faculty of Biomedical Sciences and Engineering, Tampere University of Technology, Tampere, Finland.,Department of Medical Physics, Medical Imaging Center, Tampere University Hospital, Tampere, Finland
| | - Antti Brander
- Department of Radiology, Medical Imaging Center of Pirkanmaa Hospital District, Tampere University Hospital, Tampere, Finland
| | - Sanna Hagman
- Faculty of Medicine and Life Sciences, Tampere University, Tampere, Finland
| | - Prasun Dastidar
- Department of Radiology, Medical Imaging Center of Pirkanmaa Hospital District, Tampere University Hospital, Tampere, Finland
| | - Irina Elovaara
- Faculty of Medicine and Life Sciences, Tampere University, Tampere, Finland
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17
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Petracca M, Margoni M, Bommarito G, Inglese M. Monitoring Progressive Multiple Sclerosis with Novel Imaging Techniques. Neurol Ther 2018; 7:265-285. [PMID: 29956263 PMCID: PMC6283788 DOI: 10.1007/s40120-018-0103-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2018] [Indexed: 02/04/2023] Open
Abstract
Imaging markers for monitoring disease progression in progressive multiple sclerosis (PMS) are scarce, thereby limiting the possibility to monitor disease evolution and to test effective treatments in clinical trials. Advanced imaging techniques that have the advantage of metrics with increased sensitivity to short-term tissue changes and increased specificity to the structural abnormalities characteristic of PMS have recently been applied in clinical trials of PMS. In this review, we (1) provide an overview of the pathological features of PMS, (2) summarize the findings of research and clinical trials conducted in PMS which have applied conventional and advanced magnetic resonance imaging techniques and (3) discuss recent advancements and future perspectives in monitoring PMS with imaging techniques.
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Affiliation(s)
- Maria Petracca
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Monica Margoni
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Multiple Sclerosis Centre, Department of Neurosciences DNS, University Hospital, University of Padua, Padua, Italy
| | - Giulia Bommarito
- Department of Neuroscience, Rehabilitation, Genetics and Maternal and Perinatal Sciences, University of Genoa, Genoa, Italy
| | - Matilde Inglese
- Department of Neuroscience, Rehabilitation, Genetics and Maternal and Perinatal Sciences, University of Genoa, Genoa, Italy.
- Departments of Neurology, Radiology and Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
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18
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Harel A, Sperling D, Petracca M, Ntranos A, Katz-Sand I, Krieger S, Lublin F, Wang Z, Liu Y, Inglese M. Brain microstructural injury occurs in patients with RRMS despite 'no evidence of disease activity'. J Neurol Neurosurg Psychiatry 2018; 89:977-982. [PMID: 29549189 DOI: 10.1136/jnnp-2017-317606] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/07/2017] [Revised: 02/22/2018] [Accepted: 02/26/2018] [Indexed: 12/13/2022]
Abstract
OBJECTIVES The accuracy of 'no evidence of disease activity' (NEDA) in predicting long-term clinical outcome in patients with relapsing remitting multiple sclerosis (RRMS) is unproven, and there is growing evidence that NEDA does not rule out disease worsening. We used diffusion tensor imaging (DTI) to investigate whether ongoing brain microstructural injury occurs in patients with RRMS meeting NEDA criteria. METHODS We performed a retrospective study to identify patients with RRMS visiting our centre over a 3-month period who had undergone prior longitudinal DTI evaluation at our facility spanning ≥2 years. Patients meeting NEDA criteria throughout the evaluation period were included in the NEDA group, and those not meeting NEDA criteria were included in an 'evidence of disease activity' (EDA) group. Fractional anisotropy (FA) and mean diffusivity (MD) maps were created, and annual rates of change were calculated. RESULTS We enrolled 85 patients, 39 meeting NEDA criteria. Both NEDA and EDA groups showed longitudinal DTI worsening. Yearly FA decrease was lower in the NEDA group (0.5%, p<0.0001) than in the EDA group (1.2%, p=0.003), while yearly MD increase was similar in both groups (0.8% for NEDA and EDA, both p<0.01). There was no statistical difference in deterioration within and outside of T2 lesions. DTI parameters correlated with disability scores and fatigue complaints. CONCLUSIONS White matter microstructural deterioration occurs in patients with RRMS over short-term follow-up in patients with NEDA, providing further evidence of the limitations of conventional measures and arguing for DTI in monitoring of the disease process.
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Affiliation(s)
- Asaff Harel
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Department of Neurology, Lenox Hill Hospital, New York, USA
| | - Dylan Sperling
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Maria Petracca
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Achillefs Ntranos
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Ilana Katz-Sand
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Stephen Krieger
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Fred Lublin
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Zichen Wang
- Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Yangbo Liu
- Department of Neurosurgery, Icahn School of Medicine at Mount Sinai, New York, USA
| | - Matilde Inglese
- Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.,Departmentof Neuroscience, Rehabilitation, Ophthalmology, Genetics and Maternal and Perinatal Sciences, University of Genoa andIRCCS Azienda Ospedale Università San Martino-IST, Genoa, Italy
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19
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Abstract
The design of clinical trials is a key aspect to maximizing the possibility to detect a treatment effect. This fact is particularly challenging in progressive multiple sclerosis (PMS) studies due to the uncertainty about the right target and/or outcome in phase-2 studies. The aim of this review is to evaluate the current challenges facing the design of clinical trials for PMS. The selection of patients, the instrumental and clinical outcomes that can be used in PMS trials, and issues in their design will be covered in this report.
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Affiliation(s)
- Matteo Pardini
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy/Policlinic Hospital San Martino-IST, Genoa, Italy
| | - Gary Cutter
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Maria Pia Sormani
- Biostatistics Unit, Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy
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20
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Vavasour IM, Tam R, Li DKB, Laule C, Taylor C, Kolind SH, MacKay AL, Javed A, Traboulsee A. A 24-month advanced magnetic resonance imaging study of multiple sclerosis patients treated with alemtuzumab. Mult Scler 2018; 25:811-818. [DOI: 10.1177/1352458518770085] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Background: Tissue damage in both multiple sclerosis (MS) lesions and normal-appearing white matter (NAWM) are important contributors to disability and progression. Specific aspects of MS pathology can be measured using advanced imaging. Alemtuzumab is a humanised monoclonal antibody targeting CD52 developed for MS treatment. Objective: To investigate changes over 2 years of advanced magnetic resonance (MR) metrics in lesions and NAWM of MS patients treated with alemtuzumab. Methods: A total of 42 relapsing–remitting alemtuzumab-treated MS subjects were scanned for 2 years at 3 T. T1 relaxation, T2 relaxation, diffusion tensor, MR spectroscopy and volumetric sequences were performed. Mean T1 and myelin water fraction (MWF) were determined for stable lesions, new lesions and NAWM. Fractional anisotropy was calculated for the corpus callosum (CC) and N-acetylaspartate (NAA) concentration was determined from a large NAWM voxel. Brain parenchymal fraction (BPF), cortical thickness and CC area were also calculated. Results: No change in any MR measurement was found in lesions or NAWM over 24 months. BPF, cortical thickness and CC area all showed decreases in the first year followed by stability in the second year. Conclusion: Advanced MR biomarkers of myelin (MWF) and neuron/axons (NAA) show no change in NAWM over 24 months in alemtuzumab-treated MS participants.
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Affiliation(s)
- Irene M Vavasour
- Department of Radiology and UBC MRI Research Centre, The University of British Columbia, Vancouver, BC, Canada
| | - Roger Tam
- Department of Radiology, The University of British Columbia, Vancouver, BC, Canada/School of Biomedical Engineering, The University of British Columbia, Vancouver, BC, Canada
| | - David KB Li
- Department of Radiology, The University of British Columbia, Vancouver, BC, Canada/Division of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada
| | - Cornelia Laule
- Department of Radiology, The University of British Columbia, Vancouver, BC, Canada/Department of Pathology & Laboratory Medicine, The University of British Columbia, Vancouver, BC, Canada/Department of Physics & Astronomy, The University of British Columbia, Vancouver, BC, Canada/International Collaboration on Repair Discoveries, The University of British Columbia, Vancouver, BC, Canada
| | - Carolyn Taylor
- Department of Statistics, The University of British Columbia, Vancouver, BC, Canada
| | - Shannon H Kolind
- Department of Radiology, The University of British Columbia, Vancouver, BC, Canada/Division of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada/Department of Physics & Astronomy, The University of British Columbia, Vancouver, BC, Canada/International Collaboration on Repair Discoveries, The University of British Columbia, Vancouver, BC, Canada
| | - Alex L MacKay
- Department of Radiology, The University of British Columbia, Vancouver, BC, Canada/Department of Physics & Astronomy, The University of British Columbia, Vancouver, BC, Canada
| | - Adil Javed
- Department of Neurology, The University of Chicago, Chicago, IL, USA
| | - Anthony Traboulsee
- Division of Neurology, Department of Medicine, The University of British Columbia, Vancouver, BC, Canada
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Andersen O, Hildeman A, Longfils M, Tedeholm H, Skoog B, Tian W, Zhong J, Ekholm S, Novakova L, Runmarker B, Nerman O, Maier SE. Diffusion tensor imaging in multiple sclerosis at different final outcomes. Acta Neurol Scand 2018; 137:165-173. [PMID: 28741711 DOI: 10.1111/ane.12797] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/22/2017] [Indexed: 11/29/2022]
Abstract
OBJECTIVES Methods to evaluate the relative contributions of demyelination vs axonal degeneration over the long-term course of MS are urgently needed. We used magnetic resonance diffusion tensor imaging (DTI) to estimate degrees of demyelination and axonal degeneration in the corpus callosum (CC) in cases of MS with different final outcomes. MATERIALS AND METHODS We determined DTI measures mean diffusivity (MD), fractional anisotropy (FA), and axial (AD) and radial (RD) diffusivities in the CC of 31 MS patients, of whom 13 presented a secondary progressive course, 11 a non-progressive course, and seven a monophasic course. The study participants were survivors from an incidence cohort of 254 attack-onset MS patients with 50 years of longitudinal follow-up. As reference, we included five healthy individuals without significant morbidity. RESULTS In patients with secondary progression, compared to all other groups, the corpus callosum showed increased RD and reduced FA, but no change in AD. None of the parameters exhibited differences among non-progressive and monophasic course groups and controls. CONCLUSION Increased RD was observed in secondary progressive MS, indicating significant myelin loss. Normal RD values observed in the clinically isolated syndrome and non-progressive groups confirm their benign nature. AD was not a characterizing parameter for long-term outcome. Demyelination revealed by increased RD is a distinguishing trait for secondary progression.
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Affiliation(s)
- O. Andersen
- Department of Clinical Neuroscience Institute of Neuroscience and Physiology Sahlgrenska Academy University of Gothenburg Gothenburg Sweden
| | - A. Hildeman
- Department of Mathematical Sciences Chalmers University of Technology and University of Gothenburg Gothenburg Sweden
| | - M. Longfils
- Department of Mathematical Sciences Chalmers University of Technology and University of Gothenburg Gothenburg Sweden
| | - H. Tedeholm
- Department of Clinical Neuroscience Institute of Neuroscience and Physiology Sahlgrenska Academy University of Gothenburg Gothenburg Sweden
| | - B. Skoog
- Department of Clinical Neuroscience Institute of Neuroscience and Physiology Sahlgrenska Academy University of Gothenburg Gothenburg Sweden
| | - W. Tian
- Department of Imaging Sciences Medical Center University of Rochester Rochester NY USA
| | - J. Zhong
- Department of Imaging Sciences Medical Center University of Rochester Rochester NY USA
| | - S. Ekholm
- Department of Imaging Sciences Medical Center University of Rochester Rochester NY USA
- Department of Radiology Sahlgrenska University Hospital Gothenburg Sweden
| | - L. Novakova
- Department of Clinical Neuroscience Institute of Neuroscience and Physiology Sahlgrenska Academy University of Gothenburg Gothenburg Sweden
| | - B. Runmarker
- Department of Clinical Neuroscience Institute of Neuroscience and Physiology Sahlgrenska Academy University of Gothenburg Gothenburg Sweden
| | - O. Nerman
- Department of Mathematical Sciences Chalmers University of Technology and University of Gothenburg Gothenburg Sweden
| | - S. E. Maier
- Department of Radiology Sahlgrenska University Hospital Gothenburg Sweden
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22
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Klistorner A, Wang C, Yiannikas C, Parratt J, Dwyer M, Barton J, Graham SL, You Y, Liu S, Barnett MH. Evidence of progressive tissue loss in the core of chronic MS lesions: A longitudinal DTI study. Neuroimage Clin 2017; 17:1028-1035. [PMID: 29387524 PMCID: PMC5772506 DOI: 10.1016/j.nicl.2017.12.010] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2017] [Revised: 11/21/2017] [Accepted: 12/05/2017] [Indexed: 01/29/2023]
Abstract
Objective Using diffusion tensor imaging (DTI), we examined chronic stable MS lesions, peri-lesional white matter (PLWM) and normal appearing white matter (NAWM) in patients with relapsing-remitting multiple sclerosis (RRMS) for evidence of progressive tissue destruction and evaluated whether diffusivity change is associated with conventional MRI parameters and clinical findings. Method Pre- and post-gadolinium T1, T2 and DTI images were acquired from 55 consecutive RRMS patients at baseline and 42.3 ± 9.7 months later. Chronic stable T2 lesions of sufficient size were identified in 43 patients (total of 134 lesions). Diffusivity parameters such as axial diffusivity (AD), radial diffusivity (RD), mean diffusivity (MD) and fractional anisotropy (FA) were compared at baseline and follow-up. MRI was also performed in 20 normal subjects of similar age and gender. Results Within the core of chronic MS lesions the diffusion of water molecules significantly increased over the follow-up period, while in NAWM all diffusivity indices remained stable. Since increase of AD and RD in lesional core was highly concordant, indicating isotropic nature of diffusivity change, and considering potential effect of crossing fibers on directionally-selective indices, only MD, a directionally-independent measure, was used for further analysis. The significant increase of MD in the lesion core during the follow-up period (1.29 ± 0.19 μm2/ms and 1.34 ± 0.20 μm2/ms at baseline and follow-up respectively, P < 0.0001) was independent of age or disease duration, total brain lesion volume or new lesion activity, lesion size or location and baseline tissue damage (T1 hypointensity). Change of MD in the lesion core, however, was associated with progressive brain atrophy (r = 0.47, P = 0.002). A significant gender difference was also observed: the MD change in male patients was almost twice that of female patients (0.030 ± 0.04 μm2/ms and 0.058 ± 0.03 μm2/ms in female and male respectively, P = 0.01). Sub-analysis of lesions with lesion-free surrounding revealed the largest MD increase in the lesion core, while MD progression gradually declined towards PLWM. MD in NAWM remained stable over the follow-up period. Conclusion The significant increase of isotropic water diffusion in the core of chronic stable MS lesions likely reflects gradual, self-sustained tissue destruction in demyelinated white matter that is more aggressive in males.
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Affiliation(s)
- Alexander Klistorner
- Save Sight Institute, Sydney Medical School, University of Sydney, Sydney, Australia; Faculty of Medicine and Health Sciences, Macquarie University, Sydney, NSW, Australia; Sydney Neuroimaging Analysis Centre, Sydney, NSW, Australia.
| | - Chenyu Wang
- Sydney Neuroimaging Analysis Centre, Sydney, NSW, Australia; Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | | | - John Parratt
- Royal North Shore Hospital, Sydney, NSW, Australia
| | - Michael Dwyer
- Buffalo Neuroimaging Analysis Center, University at Buffalo, Buffalo, NY, USA
| | - Joshua Barton
- Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Stuart L Graham
- Faculty of Medicine and Health Sciences, Macquarie University, Sydney, NSW, Australia
| | - Yuyi You
- Save Sight Institute, Sydney Medical School, University of Sydney, Sydney, Australia; Faculty of Medicine and Health Sciences, Macquarie University, Sydney, NSW, Australia
| | - Sidong Liu
- Save Sight Institute, Sydney Medical School, University of Sydney, Sydney, Australia; Sydney Neuroimaging Analysis Centre, Sydney, NSW, Australia; Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
| | - Michael H Barnett
- Sydney Neuroimaging Analysis Centre, Sydney, NSW, Australia; Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia
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23
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Pawlitzki M, Neumann J, Kaufmann J, Heidel J, Stadler E, Sweeney-Reed C, Sailer M, Schreiber S. Loss of corticospinal tract integrity in early MS disease stages. NEUROLOGY-NEUROIMMUNOLOGY & NEUROINFLAMMATION 2017; 4:e399. [PMID: 28959706 PMCID: PMC5614727 DOI: 10.1212/nxi.0000000000000399] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/10/2017] [Accepted: 08/08/2017] [Indexed: 11/17/2022]
Abstract
Objective: We investigated corticospinal tract (CST) integrity in the absence of white matter (WM) lesions using diffusion tensor imaging (DTI) in early MS disease stages. Methods: Our study comprised 19 patients with clinically isolated syndrome (CIS), 11 patients with relapsing-remitting MS (RRMS), and 32 age- and sex-matched healthy controls, for whom MRI measures of CST integrity (fractional anisotropy [FA], mean diffusivity [MD]), T1- and T2-based lesion load, and brain volumes were available. The mean (SD) disease duration was 3.5 (2.1) months, and disability score was low (median Expanded Disability Status Scale 1.5) at the time of the study. Results: Patients with CIS and RRMS had significantly lower CST FA and higher CST MD values compared with controls. These findings were present, irrespective of whether WM lesions affected the CST. However, no group differences in the overall gray or WM volume were identified. Conclusions: In early MS disease stages, CST integrity is already affected in the absence of WM lesions or brain atrophy.
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Affiliation(s)
- Marc Pawlitzki
- Department of Neurology (M.P., J.N., J.K., J.H., E.S., C.S.-R., S.S.), Otto von Guericke University; MEDIAN Klinik NRZ Magdeburg (M.S.), Affiliated Institute for Neurorehabilitation of the Otto von Guericke University; and German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association (S.S.), Magdeburg, Germany
| | - Jens Neumann
- Department of Neurology (M.P., J.N., J.K., J.H., E.S., C.S.-R., S.S.), Otto von Guericke University; MEDIAN Klinik NRZ Magdeburg (M.S.), Affiliated Institute for Neurorehabilitation of the Otto von Guericke University; and German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association (S.S.), Magdeburg, Germany
| | - Jörn Kaufmann
- Department of Neurology (M.P., J.N., J.K., J.H., E.S., C.S.-R., S.S.), Otto von Guericke University; MEDIAN Klinik NRZ Magdeburg (M.S.), Affiliated Institute for Neurorehabilitation of the Otto von Guericke University; and German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association (S.S.), Magdeburg, Germany
| | - Jan Heidel
- Department of Neurology (M.P., J.N., J.K., J.H., E.S., C.S.-R., S.S.), Otto von Guericke University; MEDIAN Klinik NRZ Magdeburg (M.S.), Affiliated Institute for Neurorehabilitation of the Otto von Guericke University; and German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association (S.S.), Magdeburg, Germany
| | - Erhard Stadler
- Department of Neurology (M.P., J.N., J.K., J.H., E.S., C.S.-R., S.S.), Otto von Guericke University; MEDIAN Klinik NRZ Magdeburg (M.S.), Affiliated Institute for Neurorehabilitation of the Otto von Guericke University; and German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association (S.S.), Magdeburg, Germany
| | - Catherine Sweeney-Reed
- Department of Neurology (M.P., J.N., J.K., J.H., E.S., C.S.-R., S.S.), Otto von Guericke University; MEDIAN Klinik NRZ Magdeburg (M.S.), Affiliated Institute for Neurorehabilitation of the Otto von Guericke University; and German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association (S.S.), Magdeburg, Germany
| | - Michael Sailer
- Department of Neurology (M.P., J.N., J.K., J.H., E.S., C.S.-R., S.S.), Otto von Guericke University; MEDIAN Klinik NRZ Magdeburg (M.S.), Affiliated Institute for Neurorehabilitation of the Otto von Guericke University; and German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association (S.S.), Magdeburg, Germany
| | - Stefanie Schreiber
- Department of Neurology (M.P., J.N., J.K., J.H., E.S., C.S.-R., S.S.), Otto von Guericke University; MEDIAN Klinik NRZ Magdeburg (M.S.), Affiliated Institute for Neurorehabilitation of the Otto von Guericke University; and German Center for Neurodegenerative Diseases (DZNE) within the Helmholtz Association (S.S.), Magdeburg, Germany
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24
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Vavasour IM, Huijskens SC, Li DKB, Traboulsee AL, Mädler B, Kolind SH, Rauscher A, Moore GRW, MacKay AL, Laule C. Global loss of myelin water over 5 years in multiple sclerosis normal-appearing white matter. Mult Scler 2017; 24:1557-1568. [DOI: 10.1177/1352458517723717] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background: Reduced myelin water fraction (MWF, a marker for myelin), increased geometric mean T2 (ieGMT2, reflecting intra/extracellular water properties), and increased T1 (related to total water content) have been observed in cross-sectional studies of multiple sclerosis (MS) normal-appearing white matter (NAWM). Objective: To assess longitudinal changes of magnetic resonance (MR) measures in relapsing-remitting MS (RRMS) brain NAWM. Methods: A total of 11 subjects with RRMS and 4 controls were scanned on a 3T MRI at baseline and long-term follow-up (LTFU; 3.2–5.8 years) with a 32-echo T2 relaxation and an inversion recovery T1 sequence. For every voxel, MWF, ieGMT2, and T1 were obtained. Mean, peak height, and peak location from NAWM mask-based histograms were determined. Results: In MS subjects, NAWM MWF mean decreased by 8% ( p = 0.0016). No longitudinal changes were measured in T1 or ieGMT2. There was no relationship between change in any MR metric and change in EDSS. Control white matter showed no differences over time in any metric. Conclusion: The decreases we observed in MWF suggest that changes in myelin integrity and loss of myelin may be occurring diffusely and over long time periods in the MS brain. The timescale of these changes indicates that chronic, progressive myelin damage is an evolving process occurring over many years.
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Affiliation(s)
- Irene M Vavasour
- Department of Radiology, The University of British Columbia, Vancouver, BC, Canada
| | - Sophie C Huijskens
- Department of Physics and Astronomy, The University of British Columbia, Vancouver, BC, Canada
| | - David KB Li
- Department of Radiology, The University of British Columbia, Vancouver, BC, Canada; Department of Medicine, The University of British Columbia, Vancouver, BC, Canada
| | - Anthony L Traboulsee
- Department of Medicine, The University of British Columbia, Vancouver, BC, Canada
| | | | - Shannon H Kolind
- Department of Radiology, The University of British Columbia, Vancouver, BC, Canada; Department of Medicine, The University of British Columbia, Vancouver, BC, Canada
| | - Alexander Rauscher
- Paediatrics, Centre for Brain Health, Child and Family Research Institute, The University of British Columbia, Vancouver, BC, Canada
| | - GR Wayne Moore
- Department of Medicine, The University of British Columbia, Vancouver, BC, Canada/Department of Pathology and Laboratory Medicine, The University of British Columbia, Vancouver, BC, Canada/International Collaboration on Repair Discoveries (ICORD), The University of British Columbia, Vancouver, BC, Canada
| | - Alex L MacKay
- Department of Radiology, The University of British Columbia, Vancouver, BC, Canada; Department of Physics and Astronomy, The University of British Columbia, Vancouver, BC, Canada
| | - Cornelia Laule
- Department of Radiology, The University of British Columbia, Vancouver, BC, Canada/Department of Pathology and Laboratory Medicine, The University of British Columbia, Vancouver, BC, Canada/International Collaboration on Repair Discoveries (ICORD), The University of British Columbia, Vancouver, BC, Canada
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25
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Cousineau M, Jodoin PM, Garyfallidis E, Côté MA, Morency FC, Rozanski V, Grand’Maison M, Bedell BJ, Descoteaux M. A test-retest study on Parkinson's PPMI dataset yields statistically significant white matter fascicles. Neuroimage Clin 2017; 16:222-233. [PMID: 28794981 PMCID: PMC5547250 DOI: 10.1016/j.nicl.2017.07.020] [Citation(s) in RCA: 92] [Impact Index Per Article: 13.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2017] [Revised: 07/13/2017] [Accepted: 07/22/2017] [Indexed: 12/13/2022]
Abstract
In this work, we propose a diffusion MRI protocol for mining Parkinson's disease diffusion MRI datasets and recover robust disease-specific biomarkers. Using advanced high angular resolution diffusion imaging (HARDI) crossing fiber modeling and tractography robust to partial volume effects, we automatically dissected 50 white matter (WM) fascicles. These fascicles connect deep nuclei (thalamus, putamen, pallidum) to different cortical functional areas (associative, motor, sensorimotor, limbic), basal forebrain and substantia nigra. Then, among these 50 candidate WM fascicles, only the ones that passed a test-retest reproducibility procedure qualified for further tractometry analysis. Leveraging the unique 2-timepoints test-retest Parkinson's Progression Markers Initiative (PPMI) dataset of over 600 subjects, we found statistically significant differences in tract profiles along the subcortico-cortical pathways between Parkinson's disease patients and healthy controls. In particular, significant increases in FA, apparent fiber density, tract-density and generalized FA were detected in some locations of the nigro-subthalamo-putaminal-thalamo-cortical pathway. This connection is one of the major motor circuits balancing the coordination of motor output. Detailed and quantifiable knowledge on WM fascicles in these areas is thus essential to improve the quality and outcome of Deep Brain Stimulation, and to target new WM locations for investigation.
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Affiliation(s)
- Martin Cousineau
- Computer Science Department, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Pierre-Marc Jodoin
- Computer Science Department, Université de Sherbrooke, Sherbrooke, QC, Canada
- Imeka Solutions Inc., Sherbrooke, QC, Canada
| | - Eleftherios Garyfallidis
- Department of Intelligent Systems Engineering, School of Informatics and Computing, Indiana University, Bloomington, USA
| | - Marc-Alexandre Côté
- Computer Science Department, Université de Sherbrooke, Sherbrooke, QC, Canada
| | | | - Verena Rozanski
- Department of Neurology, Klinikum Grosshadern, University of Munich, Germany
| | | | - Barry J. Bedell
- Biospective Inc., Montréal, QC, Canada
- McGill University, Montréal, QC, Canada
| | - Maxime Descoteaux
- Computer Science Department, Université de Sherbrooke, Sherbrooke, QC, Canada
- Imeka Solutions Inc., Sherbrooke, QC, Canada
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26
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Fritz NE, Keller J, Calabresi PA, Zackowski KM. Quantitative measures of walking and strength provide insight into brain corticospinal tract pathology in multiple sclerosis. Neuroimage Clin 2017; 14:490-498. [PMID: 28289599 PMCID: PMC5338912 DOI: 10.1016/j.nicl.2017.02.006] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2016] [Revised: 01/18/2017] [Accepted: 02/09/2017] [Indexed: 01/21/2023]
Abstract
At least 85% of individuals with multiple sclerosis report walking dysfunction as their primary complaint. Walking and strength measures are common clinical measures to mark increasing disability or improvement with rehabilitation. Previous studies have shown an association between strength or walking ability and spinal cord MRI measures, and strength measures with brainstem corticospinal tract magnetization transfer ratio. However, the relationship between walking performance and brain corticospinal tract magnetization transfer imaging measures and the contribution of clinical measurements of walking and strength to the underlying integrity of the corticospinal tract has not been explored in multiple sclerosis. The objectives of this study were explore the relationship of quantitative measures of walking and strength to whole-brain corticospinal tract-specific MRI measures and to determine the contribution of quantitative measures of function in addition to basic clinical measures (age, gender, symptom duration and Expanded Disability Status Scale) to structural imaging measures of the corticospinal tract. We hypothesized that quantitative walking and strength measures would be related to brain corticospinal tract-specific measures, and would provide insight into the heterogeneity of brain pathology. Twenty-nine individuals with relapsing-remitting multiple sclerosis (mean(SD) age 48.7 (11.5) years; symptom duration 11.9(8.7); 17 females; median[range] Expanded Disability Status Scale 4.0 [1.0-6.5]) and 29 age and gender-matched healthy controls (age 50.8(11.6) years; 20 females) participated in clinical tests of strength and walking (Timed Up and Go, Timed 25 Foot Walk, Two Minute Walk Test ) as well as 3 T imaging including diffusion tensor imaging and magnetization transfer imaging. Individuals with multiple sclerosis were weaker (p = 0.0024) and walked slower (p = 0.0013) compared to controls. Quantitative measures of walking and strength were significantly related to corticospinal tract fractional anisotropy (r > 0.26; p < 0.04) and magnetization transfer ratio (r > 0.29; p < 0.03) measures. Although the Expanded Disability Status Scale was highly correlated with walking measures, it was not significantly related to either corticospinal tract fractional anisotropy or magnetization transfer ratio (p > 0.05). Walk velocity was a significant contributor to magnetization transfer ratio (p = 0.006) and fractional anisotropy (p = 0.011) in regression modeling that included both quantitative measures of function and basic clinical information. Quantitative measures of strength and walking are associated with brain corticospinal tract pathology. The addition of these quantitative measures to basic clinical information explains more of the variance in corticospinal tract fractional anisotropy and magnetization transfer ratio than the basic clinical information alone. Outcome measurement for multiple sclerosis clinical trials has been notoriously challenging; the use of quantitative measures of strength and walking along with tract-specific imaging methods may improve our ability to monitor disease change over time, with intervention, and provide needed guidelines for developing more effective targeted rehabilitation strategies.
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Affiliation(s)
- Nora E Fritz
- Motion Analysis Laboratory, Kennedy Krieger Institute, Baltimore, MD, USA
- Johns Hopkins School of Medicine, Department of Physical Medicine and Rehabilitation, Baltimore, MD, USA
- Wayne State University, Program in Physical Therapy, Department of Neurology, Detroit, MI, USA
| | - Jennifer Keller
- Motion Analysis Laboratory, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Peter A Calabresi
- Johns Hopkins School of Medicine, Department of Neurology, Baltimore, MD, USA
| | - Kathleen M Zackowski
- Motion Analysis Laboratory, Kennedy Krieger Institute, Baltimore, MD, USA
- Johns Hopkins School of Medicine, Department of Physical Medicine and Rehabilitation, Baltimore, MD, USA
- Johns Hopkins School of Medicine, Department of Neurology, Baltimore, MD, USA
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27
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Recovery from chemotherapy-induced white matter changes in young breast cancer survivors? Brain Imaging Behav 2017; 12:64-77. [DOI: 10.1007/s11682-016-9665-8] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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Abstract
Multiple sclerosis (MS) is a chronic demyelinating disease of the central nervous system. Magnetic resonance imaging (MRI) is sensitive to lesion formation both in the brain and spinal cord. Imaging plays a prominent role in the diagnosis and monitoring of MS. Over a dozen anti-inflammatory therapies are approved for MS and the development of many of these medications was made possible through the use of contrast-enhancing lesions on MRI as a phase II outcome. A similar phase II outcome method for the neurodegeneration that underlies progressive courses of the disease is still unavailable. Although magnetic resonance is an invaluable tool for the diagnosis and monitoring of treatment effects in MS, several imaging barriers still exist. In general, MRI is less sensitive to gray matter lesions, lacks pathological specificity, and does not provide quantitative data easily. Several advanced imaging methods including diffusion tensor imaging, magnetization transfer, functional MRI, myelin water fraction imaging, ultra-high field MRI, positron emission tomography, and optical coherence tomography of the retina study promising ways of overcoming the difficulties in MS imaging.
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Affiliation(s)
- Daniel Ontaneda
- Mellen Center for Multiple Sclerosis, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA.
| | - Robert J Fox
- Mellen Center for Multiple Sclerosis, Cleveland Clinic Lerner College of Medicine of Case Western Reserve University, Cleveland, OH, USA
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29
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Keser Z, Hasan KM, Mwangi B, Gabr RE, Nelson FM. Diffusion Tensor Imaging-Defined Sulcal Enlargement Is Related to Cognitive Impairment in Multiple Sclerosis. J Neuroimaging 2016; 27:312-317. [PMID: 27862549 DOI: 10.1111/jon.12406] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2016] [Revised: 10/03/2016] [Accepted: 10/12/2016] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND AND PURPOSE Cerebrospinal fluid (CSF) in the brain can be compartmentalized into two main divisions: ventricular CSF and subarachnoid space (sulcal CSF). Changes in CSF volumetry are seen in many neurological conditions including multiple sclerosis (MS) and found to correlate with clinical outcomes. We aimed to test the relation between the volumetry of sulcal and ventricular CSF and cognitive impairment (CI) based on the minimal assessment of cognitive function in MS (MACFIMS) in patients with MS. MATERIAL AND METHODS Forty-six patients with MS underwent the MACFIMS battery and classified as nonimpaired (MSNI) (n = 10) and cognitively impaired (MSCI) (n = 30) and borderline (MSBD) MS patients (n = 6). Volumes of sulcal and ventricular CSF along with global gray and white matter volumes and cortical thickness were obtained by diffusion tensor imaging (DTI) and T1-weighted (T1w)-based segmentation. These measures were statistically analyzed for associations with CI after adjusting for the age, education in years, lesion load, and disease duration. RESULTS Sulcal CSF showed the strongest correlation with CI (r = .51, P = .001) in our cohort, whereas ventricular CSF (P = .28, P = .19) along with cortical thickness and gray matter volume failed to show a significant correlation. Group analyses unadjusted for multiple comparisons showed significant difference in volumes of sulcal CSF and ventricular CSF between MSNI and MSCI groups (P < .05). CONCLUSION Sulcal CSF correlates with CI in patients with MS, possibly explained by cortical atrophy. DTI/T1w-based sulcal CSF segmentation method might be used as an indirect and simple neuroimaging marker to monitor CI in MS patients.
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Affiliation(s)
- Zafer Keser
- Department of Neurology, The University of Texas Health Science Center McGovern Medical School, Houston, TX
| | - Khader M Hasan
- Department of Interventional and Diagnostic Radiology, The University of Texas Health Science Center McGovern Medical School, Houston, TX
| | - Benson Mwangi
- UT Center of Excellence on Mood Disorders, The University of Texas Health Science Center McGovern Medical School, Houston, TX
| | - Refaat E Gabr
- Department of Interventional and Diagnostic Radiology, The University of Texas Health Science Center McGovern Medical School, Houston, TX
| | - Flavia M Nelson
- Department of Neurology, The University of Texas Health Science Center McGovern Medical School, Houston, TX
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30
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Ontaneda D, Sakaie K, Lin J, Wang XF, Lowe MJ, Phillips MD, Fox RJ. Measuring Brain Tissue Integrity during 4 Years Using Diffusion Tensor Imaging. AJNR Am J Neuroradiol 2016; 38:31-38. [PMID: 27659189 DOI: 10.3174/ajnr.a4946] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2016] [Accepted: 07/26/2016] [Indexed: 01/22/2023]
Abstract
BACKGROUND AND PURPOSE DTI is an MR imaging measure of brain tissue integrity. Little is known regarding the long-term longitudinal evolution of lesional and nonlesional tissue DTI parameters in multiple sclerosis and the present study examines DTI evolution over 4 years. MATERIALS AND METHODS Twenty-one patients with multiple sclerosis were imaged for up to 48 months after starting natalizumab therapy. Gadolinium-enhancing lesions at baseline, chronic T2 lesions, and normal-appearing white matter were followed longitudinally. T2 lesions were subclassified as black holes and non-black holes. Within each ROI, the average values of DTI metrics were derived by using Analysis of Functional Neuro Images software. The longitudinal trend in DTI metrics was estimated by using a mixed-model regression analysis. RESULTS A significant increase was observed for axial diffusivity (P < .001) in gadolinium-enhancing lesions and chronic T2 lesions during 4 years. No significant change in radial diffusivity either in normal-appearing white matter or lesional tissue was observed. The evolution of axial diffusivity was different in gadolinium-enhancing lesions (P < .001) and chronic T2 lesions (P = .02) compared with normal-appearing white matter. CONCLUSIONS An increase in axial diffusion in both gadolinium-enhancing lesions and T2 lesions may relate to the complex evolution of chronically demyelinated brain tissue. Pathologic changes in normal-appearing white matter are likely more subtle than in lesional tissue and may explain the stability of these measures with DTI.
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Affiliation(s)
- D Ontaneda
- From the Department of Neurology (D.O., R.J.F.), Neurological Institute, Mellen Center for Multiple Sclerosis Treatment and Research
| | - K Sakaie
- Imaging Institute (K.S., J.L., M.J.L., M.D.P.)
| | - J Lin
- Imaging Institute (K.S., J.L., M.J.L., M.D.P.)
| | - X-F Wang
- Department of Quantitative Health Sciences (X.-F.W.), Cleveland Clinic Foundation, Cleveland, Ohio
| | - M J Lowe
- Imaging Institute (K.S., J.L., M.J.L., M.D.P.)
| | | | - R J Fox
- From the Department of Neurology (D.O., R.J.F.), Neurological Institute, Mellen Center for Multiple Sclerosis Treatment and Research
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31
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Sander C, Eling P, Hanken K, Klein J, Kastrup A, Hildebrandt H. The Impact of MS-Related Cognitive Fatigue on Future Brain Parenchymal Loss and Relapse: A 17-Month Follow-up Study. Front Neurol 2016; 7:155. [PMID: 27708613 PMCID: PMC5030297 DOI: 10.3389/fneur.2016.00155] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2016] [Accepted: 09/06/2016] [Indexed: 11/13/2022] Open
Abstract
Background Fatigue is a disabling syndrome in multiple sclerosis (MS), which may be associated with inflammation and faster disease progression. Objective To analyze the significance of cognitive fatigue for subsequent disease progression. Method We followed 46 MS patients and 14 healthy controls in a study over 17 months. At the beginning (t1) and at the end (t2) of the study participants scored their fatigue, performed the Multiple Sclerosis Functional Composite and received MRI scanning, encompassing MPR T1, FLAIR, and DTI sequences. At t1, MS patients were divided into those with and those without cognitive fatigue (cut-off score for moderate cognitive fatigue of the Fatigue Scale for Motor and Cognition). We calculated ANCOVAs for repeated measurement to analyze the relevance of cognitive fatigue status for the number of relapses and for MRI parameters. Results At t1, but not at t2, patients with cognitive fatigue showed increased axial and radial diffusivity of corpus callosum fibers. At t2, these patients showed significantly more loss of brain parenchyma and greater enlargement of lateral ventricles. Moreover, they developed more relapses, but there was no difference in lesion load or in performance deterioration. Additional analyses showed that only cognitive fatigue but not a more general score for fatigue (Fatigue Severity Scale) had an impact on the worsening of the disease status. Conclusion Patients with cognitive fatigue may develop more brain atrophy and relapses during the next 17 months than patients without cognitive fatigue. Hence, experiencing cognitive fatigue might indicate more aggressive inflammatory processes and subsequent neurodegeneration.
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Affiliation(s)
- Carina Sander
- Department of Psychology, University of Oldenburg, Oldenburg, Germany; Rehazentrum Wilhelmshaven, Wilhelmshaven, Germany
| | - Paul Eling
- Donders Institute for Brain, Cognition and Behaviour, Radboud University , Nijmegen , Netherlands
| | - Katrin Hanken
- Department of Psychology, University of Oldenburg, Oldenburg, Germany; Department of Neurology, Klinikum Bremen-Ost, Bremen, Germany
| | - Jan Klein
- Fraunhofer MEVIS Institute for Medical Image Computing , Bremen , Germany
| | - Andreas Kastrup
- Department of Neurology, Klinikum Bremen-Ost , Bremen , Germany
| | - Helmut Hildebrandt
- Department of Psychology, University of Oldenburg, Oldenburg, Germany; Department of Neurology, Klinikum Bremen-Ost, Bremen, Germany
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Kosa P, Ghazali D, Tanigawa M, Barbour C, Cortese I, Kelley W, Snyder B, Ohayon J, Fenton K, Lehky T, Wu T, Greenwood M, Nair G, Bielekova B. Development of a Sensitive Outcome for Economical Drug Screening for Progressive Multiple Sclerosis Treatment. Front Neurol 2016; 7:131. [PMID: 27574516 PMCID: PMC4983704 DOI: 10.3389/fneur.2016.00131] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2016] [Accepted: 07/29/2016] [Indexed: 11/28/2022] Open
Abstract
Therapeutic advance in progressive multiple sclerosis (MS) has been very slow. Based on the transformative role magnetic resonance imaging (MRI) contrast-enhancing lesions had on drug development for relapsing-remitting MS, we consider the lack of sensitive outcomes to be the greatest barrier for developing new treatments for progressive MS. The purpose of this study was to compare 58 prospectively acquired candidate outcomes in the real-world situation of progressive MS trials to select and validate the best-performing outcome. The 1-year pre-treatment period of adaptively designed IPPoMS (ClinicalTrials.gov #NCT00950248) and RIVITaLISe (ClinicalTrials.gov #NCT01212094) Phase II trials served to determine the primary outcome for the subsequent blinded treatment phase by comparing 8 clinical, 1 electrophysiological, 1 optical coherence tomography, 7 MRI volumetric, 9 quantitative T1 MRI, and 32 diffusion tensor imaging MRI outcomes. Fifteen outcomes demonstrated significant progression over 1 year (Δ) in the predetermined analysis and seven out of these were validated in two independent cohorts. Validated MRI outcomes had limited correlations with clinical scales, relatively poor signal-to-noise ratios (SNR) and recorded overlapping values between healthy subjects and MS patients with moderate-severe disability. Clinical measures correlated better, even though each reflects a somewhat different disability domain. Therefore, using machine-learning techniques, we developed a combinatorial weight-adjusted disability score (CombiWISE) that integrates four clinical scales: expanded disability status scale (EDSS), Scripps neurological rating scale, 25 foot walk and 9 hole peg test. CombiWISE outperformed all clinical scales (Δ = 9.10%; p = 0.0003) and all MRI outcomes. CombiWISE recorded no overlapping values between healthy subjects and disabled MS patients, had high SNR, and predicted changes in EDSS in a longitudinal assessment of 98 progressive MS patients and in a cross-sectional cohort of 303 untreated subjects. One point change in EDSS corresponds on average to 7.50 point change in CombiWISE with a standard error of 0.10. The novel validated clinical outcome, CombiWISE, outperforms the current broadly utilized MRI brain atrophy outcome and more than doubles sensitivity in detecting clinical deterioration in progressive MS in comparison to the scale traditionally used for regulatory approval, EDSS.
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Affiliation(s)
- Peter Kosa
- Neuroimmunological Diseases Unit, National Institute of Neurological Diseases and Stroke, National Institute of Health , Bethesda, MD , USA
| | - Danish Ghazali
- Neuroimmunological Diseases Unit, National Institute of Neurological Diseases and Stroke, National Institute of Health , Bethesda, MD , USA
| | - Makoto Tanigawa
- Neuroimmunological Diseases Unit, National Institute of Neurological Diseases and Stroke, National Institute of Health , Bethesda, MD , USA
| | - Chris Barbour
- Neuroimmunological Diseases Unit, National Institute of Neurological Diseases and Stroke, National Institute of Health, Bethesda, MD, USA; Department of Mathematical Sciences, Montana State University, Bozeman, MT, USA
| | - Irene Cortese
- Neuroimmunology Clinic, National Institute of Neurological Diseases and Stroke, National Institute of Health , Bethesda, MD , USA
| | - William Kelley
- Neuroimmunological Diseases Unit, National Institute of Neurological Diseases and Stroke, National Institute of Health , Bethesda, MD , USA
| | - Blake Snyder
- Neuroimmunological Diseases Unit, National Institute of Neurological Diseases and Stroke, National Institute of Health , Bethesda, MD , USA
| | - Joan Ohayon
- Neuroimmunology Clinic, National Institute of Neurological Diseases and Stroke, National Institute of Health , Bethesda, MD , USA
| | - Kaylan Fenton
- Neuroimmunology Clinic, National Institute of Neurological Diseases and Stroke, National Institute of Health , Bethesda, MD , USA
| | - Tanya Lehky
- EMG Section, National Institute of Neurological Diseases and Stroke, National Institute of Health , Bethesda, MD , USA
| | - Tianxia Wu
- Clinical Trials Unit, National Institute of Neurological Diseases and Stroke, National Institute of Health , Bethesda, MD , USA
| | - Mark Greenwood
- Department of Mathematical Sciences, Montana State University , Bozeman, MT , USA
| | - Govind Nair
- Neuroimmunology Clinic, National Institute of Neurological Diseases and Stroke, National Institute of Health , Bethesda, MD , USA
| | - Bibiana Bielekova
- Neuroimmunological Diseases Unit, National Institute of Neurological Diseases and Stroke, National Institute of Health , Bethesda, MD , USA
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33
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Castellano A, Papinutto N, Cadioli M, Brugnara G, Iadanza A, Scigliuolo G, Pareyson D, Uziel G, Köhler W, Aubourg P, Falini A, Henry RG, Politi LS, Salsano E. Quantitative MRI of the spinal cord and brain in adrenomyeloneuropathy:in vivoassessment of structural changes. Brain 2016; 139:1735-46. [DOI: 10.1093/brain/aww068] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2015] [Accepted: 02/15/2016] [Indexed: 11/13/2022] Open
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Chiang GC, Pinto S, Comunale JP, Gauthier SA. Gadolinium-Enhancing Lesions Lead to Decreases in White Matter Tract Fractional Anisotropy in Multiple Sclerosis. J Neuroimaging 2015; 26:289-95. [PMID: 26458494 DOI: 10.1111/jon.12309] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2015] [Accepted: 09/01/2015] [Indexed: 01/07/2023] Open
Abstract
PURPOSE Although MRI identification of new lesions forms the basis for monitoring disease progression in multiple sclerosis patients, how lesion activity relates to longitudinal white matter changes in the brain is unknown. We hypothesized that patients with gadolinium-enhancing lesions would show greater longitudinal decline in fractional anisotropy in major tracts compared to those with stable disease. METHODS Thirty patients with relapsing-remitting multiple sclerosis were included in this study-13 had enhancing lesions at baseline and 17 did not. Each patient underwent at least two 3 Tesla contrast-enhanced MRI scans with a DTI sequence with a median interval of 2.1 years between scans. The forceps major and minor of the corpus callosum and the bilateral corticospinal tracts were selected as the major white matter tracts of interest. These tracts were reconstructed using region-of-interest placement on standard anatomical landmarks and a fiber assignment by continuous tracking algorithm using TrackVis (version 0.5.2.2) software. Mixed-effects regression models were used to determine the association between enhancing lesions and subsequent longitudinal change in fractional anisotropy. RESULTS In patients with enhancing lesions, there was greater decline in fractional anisotropy compared to those with stable disease in the forceps major (P = .026), right corticospinal tract (P = .032), and marginally in the left corticospinal tract (P = .050), but not the forceps minor (P = .11). CONCLUSION Fractional anisotropy of major white matter tracts declined more rapidly in patients with enhancing lesions, suggesting greater diffuse white matter injury with active inflammatory disease. DTI may provide a means of monitoring white matter injury following relapses.
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Affiliation(s)
- Gloria C Chiang
- Department of Radiology, Division of Neuroradiology, Weill Cornell Medical College, NewYork-Presbyterian Hospital, New York, NY
| | - Soniya Pinto
- Department of Surgery, University of Illinois, Chicago, IL
| | - Joseph P Comunale
- Department of Radiology, Division of Neuroradiology, Weill Cornell Medical College, NewYork-Presbyterian Hospital, New York, NY
| | - Susan A Gauthier
- Department of Neurology, Weill Cornell Medical College, NewYork-Presbyterian Hospital, New York, NY
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35
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Matthews L, Kolind S, Brazier A, Leite MI, Brooks J, Traboulsee A, Jenkinson M, Johansen-Berg H, Palace J. Imaging Surrogates of Disease Activity in Neuromyelitis Optica Allow Distinction from Multiple Sclerosis. PLoS One 2015; 10:e0137715. [PMID: 26381510 PMCID: PMC4575169 DOI: 10.1371/journal.pone.0137715] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2015] [Accepted: 08/21/2015] [Indexed: 11/19/2022] Open
Abstract
Inflammatory demyelinating lesions of the central nervous system are a common feature of both neuromyelitis optica and multiple sclerosis. Despite this similarity, it is evident clinically that the accumulation of disability in patients with neuromyelitis optica is relapse related and that a progressive phase is very uncommon. This poses the question whether there is any pathological evidence of disease activity or neurodegeneration in neuromyelitis optica between relapses. To investigate this we conducted a longitudinal advanced MRI study of the brain and spinal cord in neuromyelitis optica patients, comparing to patients with multiple sclerosis and controls. We found both cross-sectional and longitudinal evidence of diffusely distributed neurodegenerative surrogates in the multiple sclerosis group (including thalamic atrophy, cervical cord atrophy and progressive widespread diffusion and myelin water imaging abnormalities in the normal appearing white matter) but not in those with neuromyelitis optica, where localised abnormalities in the optic radiations of those with severe visual impairment were noted. In addition, between relapses, there were no new silent brain lesions in the neuromyelitis optica group. These findings indicate that global central nervous system neurodegeneration is not a feature of neuromyelitis optica. The work also questions the theory that neurodegeneration in multiple sclerosis is a chronic sequela to prior inflammatory and demyelinating pathology, as this has not been found to be the case in neuromyelitis optica where the lesions are often more destructive.
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Affiliation(s)
- Lucy Matthews
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
- Neurology Department, Oxford University Hospitals NHS Trust, Oxford, United Kingdom
| | - Shannon Kolind
- Division of Neurology, Department of Medicine, University of British Columbia, Vancouver, Canada
| | - Alix Brazier
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Maria Isabel Leite
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
- Neurology Department, Oxford University Hospitals NHS Trust, Oxford, United Kingdom
| | - Jonathan Brooks
- Clinical Research and Imaging Centre (CRiCBristol), University of Bristol, Bristol, United Kingdom
| | - Anthony Traboulsee
- Division of Neurology, Department of Medicine, University of British Columbia, Vancouver, Canada
| | - Mark Jenkinson
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Heidi Johansen-Berg
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Jacqueline Palace
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
- Neurology Department, Oxford University Hospitals NHS Trust, Oxford, United Kingdom
- * E-mail:
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36
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Callosal anatomical and effective connectivity between primary motor cortices predicts visually cued bimanual temporal coordination performance. Brain Struct Funct 2015; 221:3427-43. [DOI: 10.1007/s00429-015-1110-z] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2015] [Accepted: 09/09/2015] [Indexed: 12/18/2022]
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37
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Venkatraman VK, Gonzalez CE, Landman B, Goh J, Reiter DA, An Y, Resnick SM. Region of interest correction factors improve reliability of diffusion imaging measures within and across scanners and field strengths. Neuroimage 2015; 119:406-16. [PMID: 26146196 DOI: 10.1016/j.neuroimage.2015.06.078] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2014] [Revised: 05/01/2015] [Accepted: 06/29/2015] [Indexed: 11/28/2022] Open
Abstract
Diffusion tensor imaging (DTI) measures are commonly used as imaging markers to investigate individual differences in relation to behavioral and health-related characteristics. However, the ability to detect reliable associations in cross-sectional or longitudinal studies is limited by the reliability of the diffusion measures. Several studies have examined the reliability of diffusion measures within (i.e. intra-site) and across (i.e. inter-site) scanners with mixed results. Our study compares the test-retest reliability of diffusion measures within and across scanners and field strengths in cognitively normal older adults with a follow-up interval less than 2.25 years. Intra-class correlation (ICC) and coefficient of variation (CoV) of fractional anisotropy (FA) and mean diffusivity (MD) were evaluated in sixteen white matter and twenty-six gray matter bilateral regions. The ICC for intra-site reliability (0.32 to 0.96 for FA and 0.18 to 0.95 for MD in white matter regions; 0.27 to 0.89 for MD and 0.03 to 0.79 for FA in gray matter regions) and inter-site reliability (0.28 to 0.95 for FA in white matter regions, 0.02 to 0.86 for MD in gray matter regions) with longer follow-up intervals were similar to earlier studies using shorter follow-up intervals. The reliability of across field strengths comparisons was lower than intra- and inter-site reliabilities. Within and across scanner comparisons showed that diffusion measures were more stable in larger white matter regions (>1500 mm(3)). For gray matter regions, the MD measure showed stability in specific regions and was not dependent on region size. Linear correction factor estimated from cross-sectional or longitudinal data improved the reliability across field strengths. Our findings indicate that investigations relating diffusion measures to external variables must consider variable reliability across the distinct regions of interest and that correction factors can be used to improve consistency of measurement across field strengths. An important result of this work is that inter-scanner and field strength effects can be partially mitigated with linear correction factors specific to regions of interest. These data-driven linear correction techniques can be applied in cross-sectional or longitudinal studies.
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Affiliation(s)
- Vijay K Venkatraman
- Intramural Research Program, National Institute on Aging, National Institute of Health, Baltimore, MD 21224, USA.
| | - Christopher E Gonzalez
- Intramural Research Program, National Institute on Aging, National Institute of Health, Baltimore, MD 21224, USA
| | - Bennett Landman
- Institute of Imaging Science and Department of Electrical Engineering, Vanderbilt University, Nashville, TN 37235, USA
| | - Joshua Goh
- Intramural Research Program, National Institute on Aging, National Institute of Health, Baltimore, MD 21224, USA; Graduate Institute of Brain and Mind Sciences, National Taiwan University College of Medicine, Taipei, Taiwan
| | - David A Reiter
- Intramural Research Program, National Institute on Aging, National Institute of Health, Baltimore, MD 21224, USA
| | - Yang An
- Intramural Research Program, National Institute on Aging, National Institute of Health, Baltimore, MD 21224, USA
| | - Susan M Resnick
- Intramural Research Program, National Institute on Aging, National Institute of Health, Baltimore, MD 21224, USA.
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38
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Bergsland N, Laganà MM, Tavazzi E, Caffini M, Tortorella P, Baglio F, Baselli G, Rovaris M. Corticospinal tract integrity is related to primary motor cortex thinning in relapsing–remitting multiple sclerosis. Mult Scler 2015; 21:1771-80. [DOI: 10.1177/1352458515576985] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2014] [Accepted: 02/17/2015] [Indexed: 11/16/2022]
Abstract
Background: The relationship between white matter injury and cortical atrophy development in relapsing–remitting multiple sclerosis (RRMS) remains unclear. Objectives: To investigate the associations between corticospinal tract integrity and cortical morphology measures of the primary motor cortex in RRMS patients and healthy controls. Methods: 51 RRMS patients and 30 healthy controls underwent MRI examination for cortical reconstruction and assessment of corticospinal tract integrity. Partial correlation and multiple linear regression analyses were used to investigate the associations of focal and normal appearing white matter (NAWM) injury of the corticospinal tract with thickness and surface area measures of the primary motor cortex. Relationships between MRI measures and clinical disability as assessed by the Expanded Disability Status Scale and disease duration were also investigated. Results: In patients only, decreased cortical thickness was related to increased corticospinal tract NAWM mean, axial and radial diffusivities in addition to corticospinal tract lesion volume. The final multiple linear regression model for PMC thickness retained only NAWM axial diffusivity as a significant predictor (adjusted R2= 0.270, p= 0.001). Clinical measures were associated with NAWM corticospinal tract integrity measures. Conclusions: Primary motor cortex thinning in RRMS is related to alterations in connected white matter and is best explained by decreased NAWM integrity.
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Affiliation(s)
- Niels Bergsland
- MR Research Laboratory, IRCCS, Don Gnocchi Foundation ONLUS, Milan, Italy/Buffalo Neuroimaging Analysis Center, Department of Neurology, University at Buffalo SUNY, USA/Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy
| | | | - Eleonora Tavazzi
- Unit of Motor Neurorehabilitation, Multiple Sclerosis Centre, IRCCS, Don Gnocchi Foundation ONLUS, Milan, Italy
| | - Matteo Caffini
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy
| | - Paola Tortorella
- Unit of Motor Neurorehabilitation, Multiple Sclerosis Centre, IRCCS, Don Gnocchi Foundation ONLUS, Milan, Italy
| | - Francesca Baglio
- MR Research Laboratory, IRCCS, Don Gnocchi Foundation ONLUS, Milan, Italy
| | - Giuseppe Baselli
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milan, Italy
| | - Marco Rovaris
- Unit of Motor Neurorehabilitation, Multiple Sclerosis Centre, IRCCS, Don Gnocchi Foundation ONLUS, Milan, Italy
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Ontaneda D, Fox RJ, Chataway J. Clinical trials in progressive multiple sclerosis: lessons learned and future perspectives. Lancet Neurol 2015; 14:208-23. [PMID: 25772899 PMCID: PMC4361791 DOI: 10.1016/s1474-4422(14)70264-9] [Citation(s) in RCA: 159] [Impact Index Per Article: 17.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Progressive multiple sclerosis is characterised clinically by the gradual accrual of disability independent of relapses and can occur with disease onset (primary progressive) or can be preceded by a relapsing disease course (secondary progressive). An effective disease-modifying treatment for progressive multiple sclerosis has not yet been identified, and so far the results of clinical trials have generally been disappointing. Ongoing advances in the knowledge of pathogenesis, in the identification of novel targets for neuroprotection, and in improved outcome measures could lead to effective treatments for progressive multiple sclerosis. In this Series paper, we summarise the lessons learned from completed clinical trials and perspectives from trials in progress in progressive multiple sclerosis. We review promising clinical, imaging, and biological markers, along with novel designs, for clinical trials. The use of more refined outcomes and truly neuroprotective drugs, coupled with more efficient trial design, has the capacity to deliver a new era of therapeutic discovery in this challenging area.
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Affiliation(s)
- Daniel Ontaneda
- Mellen Center for Multiple Sclerosis Treatment and Research, Cleveland Clinic, Cleveland, OH, USA.
| | - Robert J Fox
- Mellen Center for Multiple Sclerosis Treatment and Research, Cleveland Clinic, Cleveland, OH, USA
| | - Jeremy Chataway
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Institute of Neurology, University College London, London, UK; National Hospital for Neurology and Neurosurgery, University College London Hospitals NHS Foundation Trust, London, UK
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40
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Oh J, Sotirchos ES, Saidha S, Whetstone A, Chen M, Newsome SD, Zackowski K, Balcer LJ, Frohman E, Prince J, Diener-West M, Reich DS, Calabresi PA. Relationships between quantitative spinal cord MRI and retinal layers in multiple sclerosis. Neurology 2015; 84:720-8. [PMID: 25609766 DOI: 10.1212/wnl.0000000000001257] [Citation(s) in RCA: 49] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023] Open
Abstract
OBJECTIVE To assess relationships between spinal cord MRI (SC-MRI) and retinal measures, and to evaluate whether these measures independently relate to clinical disability in multiple sclerosis (MS). METHODS One hundred two patients with MS and 11 healthy controls underwent 3-tesla brain and cervical SC-MRI, which included standard T1- and T2-based sequences and diffusion-tensor and magnetization-transfer imaging, and optical coherence tomography with automated segmentation. Clinical assessments included visual acuity (VA), Expanded Disability Status Scale, MS functional composite, vibration sensation threshold, and hip-flexion strength. Regions of interest circumscribing SC cross-sections at C3-4 were used to obtain cross-sectional area (CSA), fractional anisotropy (FA), perpendicular diffusivity (λ⊥), and magnetization transfer ratio. Multivariable regression assessed group differences and SC, retinal, and clinical relationships. RESULTS In MS, there were correlations between SC-CSA, SC-FA, SC-λ⊥, and peripapillary retinal nerve fiber layer (pRNFL) (p = 0.01, p = 0.002, p = 0.001, respectively) after adjusting for age, sex, prior optic neuritis, and brain atrophy. In multivariable clinical models, when SC-CSA, pRNFL, and brain atrophy were included simultaneously, SC-CSA and pRNFL retained independent relationships with low-contrast VA (p = 0.04, p = 0.002, respectively), high-contrast VA (p = 0.06, p = 0.008), and vibration sensation threshold (p = 0.01, p = 0.05). SC-CSA alone retained independent relationships with Expanded Disability Status Scale (p = 0.001), hip-flexion strength (p = 0.001), and MS functional composite (p = 0.004). CONCLUSIONS In this cross-sectional study of patients with MS, correlations exist between SC-MRI and retinal layers, and both exhibit independent relationships with clinical dysfunction. These findings suggest that the SC and optic nerve reflect ongoing global pathologic processes that supplement measures of whole-brain atrophy, highlighting the importance of combining measures from unique compartments to facilitate a thorough examination of regional and global disease processes that contribute to clinical disability in MS.
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Affiliation(s)
- Jiwon Oh
- From the Departments of Neurology (J.O., E.S.S., S.S., A.W., S.D.N., K.Z., D.S.R., P.A.C.), Electrical and Computer Engineering (M.C., J.P.), Computer Science (J.P.), Physical Medicine and Rehabilitation (K.Z.), Biostatistics (M.C., M.D.-W., D.S.R.), and Radiology and Radiological Science (D.S.R.), Johns Hopkins University, Baltimore, MD; Division of Neurology (J.O.), Department of Medicine, St. Michael's Hospital, University of Toronto, Canada; Motion Analysis Laboratory (K.Z.), Kennedy Krieger Institute, Baltimore, MD; Department of Neurology (L.J.B.), University of Pennsylvania School of Medicine, Philadelphia; Departments of Neurology and Ophthalmology (E.F.), University of Texas Southwestern Medical Center at Dallas; and Translational Neuroradiology Unit (D.S.R.), National Institute of Neurological Disorders and Stroke, Bethesda, MD.
| | - Elias S Sotirchos
- From the Departments of Neurology (J.O., E.S.S., S.S., A.W., S.D.N., K.Z., D.S.R., P.A.C.), Electrical and Computer Engineering (M.C., J.P.), Computer Science (J.P.), Physical Medicine and Rehabilitation (K.Z.), Biostatistics (M.C., M.D.-W., D.S.R.), and Radiology and Radiological Science (D.S.R.), Johns Hopkins University, Baltimore, MD; Division of Neurology (J.O.), Department of Medicine, St. Michael's Hospital, University of Toronto, Canada; Motion Analysis Laboratory (K.Z.), Kennedy Krieger Institute, Baltimore, MD; Department of Neurology (L.J.B.), University of Pennsylvania School of Medicine, Philadelphia; Departments of Neurology and Ophthalmology (E.F.), University of Texas Southwestern Medical Center at Dallas; and Translational Neuroradiology Unit (D.S.R.), National Institute of Neurological Disorders and Stroke, Bethesda, MD
| | - Shiv Saidha
- From the Departments of Neurology (J.O., E.S.S., S.S., A.W., S.D.N., K.Z., D.S.R., P.A.C.), Electrical and Computer Engineering (M.C., J.P.), Computer Science (J.P.), Physical Medicine and Rehabilitation (K.Z.), Biostatistics (M.C., M.D.-W., D.S.R.), and Radiology and Radiological Science (D.S.R.), Johns Hopkins University, Baltimore, MD; Division of Neurology (J.O.), Department of Medicine, St. Michael's Hospital, University of Toronto, Canada; Motion Analysis Laboratory (K.Z.), Kennedy Krieger Institute, Baltimore, MD; Department of Neurology (L.J.B.), University of Pennsylvania School of Medicine, Philadelphia; Departments of Neurology and Ophthalmology (E.F.), University of Texas Southwestern Medical Center at Dallas; and Translational Neuroradiology Unit (D.S.R.), National Institute of Neurological Disorders and Stroke, Bethesda, MD
| | - Anna Whetstone
- From the Departments of Neurology (J.O., E.S.S., S.S., A.W., S.D.N., K.Z., D.S.R., P.A.C.), Electrical and Computer Engineering (M.C., J.P.), Computer Science (J.P.), Physical Medicine and Rehabilitation (K.Z.), Biostatistics (M.C., M.D.-W., D.S.R.), and Radiology and Radiological Science (D.S.R.), Johns Hopkins University, Baltimore, MD; Division of Neurology (J.O.), Department of Medicine, St. Michael's Hospital, University of Toronto, Canada; Motion Analysis Laboratory (K.Z.), Kennedy Krieger Institute, Baltimore, MD; Department of Neurology (L.J.B.), University of Pennsylvania School of Medicine, Philadelphia; Departments of Neurology and Ophthalmology (E.F.), University of Texas Southwestern Medical Center at Dallas; and Translational Neuroradiology Unit (D.S.R.), National Institute of Neurological Disorders and Stroke, Bethesda, MD
| | - Min Chen
- From the Departments of Neurology (J.O., E.S.S., S.S., A.W., S.D.N., K.Z., D.S.R., P.A.C.), Electrical and Computer Engineering (M.C., J.P.), Computer Science (J.P.), Physical Medicine and Rehabilitation (K.Z.), Biostatistics (M.C., M.D.-W., D.S.R.), and Radiology and Radiological Science (D.S.R.), Johns Hopkins University, Baltimore, MD; Division of Neurology (J.O.), Department of Medicine, St. Michael's Hospital, University of Toronto, Canada; Motion Analysis Laboratory (K.Z.), Kennedy Krieger Institute, Baltimore, MD; Department of Neurology (L.J.B.), University of Pennsylvania School of Medicine, Philadelphia; Departments of Neurology and Ophthalmology (E.F.), University of Texas Southwestern Medical Center at Dallas; and Translational Neuroradiology Unit (D.S.R.), National Institute of Neurological Disorders and Stroke, Bethesda, MD
| | - Scott D Newsome
- From the Departments of Neurology (J.O., E.S.S., S.S., A.W., S.D.N., K.Z., D.S.R., P.A.C.), Electrical and Computer Engineering (M.C., J.P.), Computer Science (J.P.), Physical Medicine and Rehabilitation (K.Z.), Biostatistics (M.C., M.D.-W., D.S.R.), and Radiology and Radiological Science (D.S.R.), Johns Hopkins University, Baltimore, MD; Division of Neurology (J.O.), Department of Medicine, St. Michael's Hospital, University of Toronto, Canada; Motion Analysis Laboratory (K.Z.), Kennedy Krieger Institute, Baltimore, MD; Department of Neurology (L.J.B.), University of Pennsylvania School of Medicine, Philadelphia; Departments of Neurology and Ophthalmology (E.F.), University of Texas Southwestern Medical Center at Dallas; and Translational Neuroradiology Unit (D.S.R.), National Institute of Neurological Disorders and Stroke, Bethesda, MD
| | - Kathy Zackowski
- From the Departments of Neurology (J.O., E.S.S., S.S., A.W., S.D.N., K.Z., D.S.R., P.A.C.), Electrical and Computer Engineering (M.C., J.P.), Computer Science (J.P.), Physical Medicine and Rehabilitation (K.Z.), Biostatistics (M.C., M.D.-W., D.S.R.), and Radiology and Radiological Science (D.S.R.), Johns Hopkins University, Baltimore, MD; Division of Neurology (J.O.), Department of Medicine, St. Michael's Hospital, University of Toronto, Canada; Motion Analysis Laboratory (K.Z.), Kennedy Krieger Institute, Baltimore, MD; Department of Neurology (L.J.B.), University of Pennsylvania School of Medicine, Philadelphia; Departments of Neurology and Ophthalmology (E.F.), University of Texas Southwestern Medical Center at Dallas; and Translational Neuroradiology Unit (D.S.R.), National Institute of Neurological Disorders and Stroke, Bethesda, MD
| | - Laura J Balcer
- From the Departments of Neurology (J.O., E.S.S., S.S., A.W., S.D.N., K.Z., D.S.R., P.A.C.), Electrical and Computer Engineering (M.C., J.P.), Computer Science (J.P.), Physical Medicine and Rehabilitation (K.Z.), Biostatistics (M.C., M.D.-W., D.S.R.), and Radiology and Radiological Science (D.S.R.), Johns Hopkins University, Baltimore, MD; Division of Neurology (J.O.), Department of Medicine, St. Michael's Hospital, University of Toronto, Canada; Motion Analysis Laboratory (K.Z.), Kennedy Krieger Institute, Baltimore, MD; Department of Neurology (L.J.B.), University of Pennsylvania School of Medicine, Philadelphia; Departments of Neurology and Ophthalmology (E.F.), University of Texas Southwestern Medical Center at Dallas; and Translational Neuroradiology Unit (D.S.R.), National Institute of Neurological Disorders and Stroke, Bethesda, MD
| | - Elliot Frohman
- From the Departments of Neurology (J.O., E.S.S., S.S., A.W., S.D.N., K.Z., D.S.R., P.A.C.), Electrical and Computer Engineering (M.C., J.P.), Computer Science (J.P.), Physical Medicine and Rehabilitation (K.Z.), Biostatistics (M.C., M.D.-W., D.S.R.), and Radiology and Radiological Science (D.S.R.), Johns Hopkins University, Baltimore, MD; Division of Neurology (J.O.), Department of Medicine, St. Michael's Hospital, University of Toronto, Canada; Motion Analysis Laboratory (K.Z.), Kennedy Krieger Institute, Baltimore, MD; Department of Neurology (L.J.B.), University of Pennsylvania School of Medicine, Philadelphia; Departments of Neurology and Ophthalmology (E.F.), University of Texas Southwestern Medical Center at Dallas; and Translational Neuroradiology Unit (D.S.R.), National Institute of Neurological Disorders and Stroke, Bethesda, MD
| | - Jerry Prince
- From the Departments of Neurology (J.O., E.S.S., S.S., A.W., S.D.N., K.Z., D.S.R., P.A.C.), Electrical and Computer Engineering (M.C., J.P.), Computer Science (J.P.), Physical Medicine and Rehabilitation (K.Z.), Biostatistics (M.C., M.D.-W., D.S.R.), and Radiology and Radiological Science (D.S.R.), Johns Hopkins University, Baltimore, MD; Division of Neurology (J.O.), Department of Medicine, St. Michael's Hospital, University of Toronto, Canada; Motion Analysis Laboratory (K.Z.), Kennedy Krieger Institute, Baltimore, MD; Department of Neurology (L.J.B.), University of Pennsylvania School of Medicine, Philadelphia; Departments of Neurology and Ophthalmology (E.F.), University of Texas Southwestern Medical Center at Dallas; and Translational Neuroradiology Unit (D.S.R.), National Institute of Neurological Disorders and Stroke, Bethesda, MD
| | - Marie Diener-West
- From the Departments of Neurology (J.O., E.S.S., S.S., A.W., S.D.N., K.Z., D.S.R., P.A.C.), Electrical and Computer Engineering (M.C., J.P.), Computer Science (J.P.), Physical Medicine and Rehabilitation (K.Z.), Biostatistics (M.C., M.D.-W., D.S.R.), and Radiology and Radiological Science (D.S.R.), Johns Hopkins University, Baltimore, MD; Division of Neurology (J.O.), Department of Medicine, St. Michael's Hospital, University of Toronto, Canada; Motion Analysis Laboratory (K.Z.), Kennedy Krieger Institute, Baltimore, MD; Department of Neurology (L.J.B.), University of Pennsylvania School of Medicine, Philadelphia; Departments of Neurology and Ophthalmology (E.F.), University of Texas Southwestern Medical Center at Dallas; and Translational Neuroradiology Unit (D.S.R.), National Institute of Neurological Disorders and Stroke, Bethesda, MD
| | - Daniel S Reich
- From the Departments of Neurology (J.O., E.S.S., S.S., A.W., S.D.N., K.Z., D.S.R., P.A.C.), Electrical and Computer Engineering (M.C., J.P.), Computer Science (J.P.), Physical Medicine and Rehabilitation (K.Z.), Biostatistics (M.C., M.D.-W., D.S.R.), and Radiology and Radiological Science (D.S.R.), Johns Hopkins University, Baltimore, MD; Division of Neurology (J.O.), Department of Medicine, St. Michael's Hospital, University of Toronto, Canada; Motion Analysis Laboratory (K.Z.), Kennedy Krieger Institute, Baltimore, MD; Department of Neurology (L.J.B.), University of Pennsylvania School of Medicine, Philadelphia; Departments of Neurology and Ophthalmology (E.F.), University of Texas Southwestern Medical Center at Dallas; and Translational Neuroradiology Unit (D.S.R.), National Institute of Neurological Disorders and Stroke, Bethesda, MD
| | - Peter A Calabresi
- From the Departments of Neurology (J.O., E.S.S., S.S., A.W., S.D.N., K.Z., D.S.R., P.A.C.), Electrical and Computer Engineering (M.C., J.P.), Computer Science (J.P.), Physical Medicine and Rehabilitation (K.Z.), Biostatistics (M.C., M.D.-W., D.S.R.), and Radiology and Radiological Science (D.S.R.), Johns Hopkins University, Baltimore, MD; Division of Neurology (J.O.), Department of Medicine, St. Michael's Hospital, University of Toronto, Canada; Motion Analysis Laboratory (K.Z.), Kennedy Krieger Institute, Baltimore, MD; Department of Neurology (L.J.B.), University of Pennsylvania School of Medicine, Philadelphia; Departments of Neurology and Ophthalmology (E.F.), University of Texas Southwestern Medical Center at Dallas; and Translational Neuroradiology Unit (D.S.R.), National Institute of Neurological Disorders and Stroke, Bethesda, MD.
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41
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Fabri M, Pierpaoli C, Barbaresi P, Polonara G. Functional topography of the corpus callosum investigated by DTI and fMRI. World J Radiol 2014; 6:895-906. [PMID: 25550994 PMCID: PMC4278150 DOI: 10.4329/wjr.v6.i12.895] [Citation(s) in RCA: 108] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2014] [Revised: 09/02/2014] [Accepted: 10/29/2014] [Indexed: 02/06/2023] Open
Abstract
This short review examines the most recent functional studies of the topographic organization of the human corpus callosum, the main interhemispheric commissure. After a brief description of its anatomy, development, microstructure, and function, it examines and discusses the latest findings obtained using diffusion tensor imaging (DTI) and tractography (DTT) and functional magnetic resonance imaging (fMRI), three recently developed imaging techniques that have significantly expanded and refined our knowledge of the commissure. While DTI and DTT have been providing insights into its microstructure, integrity and level of myelination, fMRI has been the key technique in documenting the activation of white matter fibers, particularly in the corpus callosum. By combining DTT and fMRI it has been possible to describe the trajectory of the callosal fibers interconnecting the primary olfactory, gustatory, motor, somatic sensory, auditory and visual cortices at sites where the activation elicited by peripheral stimulation was detected by fMRI. These studies have demonstrated the presence of callosal fiber tracts that cross the commissure at the level of the genu, body, and splenium, at sites showing fMRI activation. Altogether such findings lend further support to the notion that the corpus callosum displays a functional topographic organization that can be explored with fMRI.
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Jovicich J, Marizzoni M, Bosch B, Bartrés-Faz D, Arnold J, Benninghoff J, Wiltfang J, Roccatagliata L, Picco A, Nobili F, Blin O, Bombois S, Lopes R, Bordet R, Chanoine V, Ranjeva JP, Didic M, Gros-Dagnac H, Payoux P, Zoccatelli G, Alessandrini F, Beltramello A, Bargalló N, Ferretti A, Caulo M, Aiello M, Ragucci M, Soricelli A, Salvadori N, Tarducci R, Floridi P, Tsolaki M, Constantinidis M, Drevelegas A, Rossini PM, Marra C, Otto J, Reiss-Zimmermann M, Hoffmann KT, Galluzzi S, Frisoni GB. Multisite longitudinal reliability of tract-based spatial statistics in diffusion tensor imaging of healthy elderly subjects. Neuroimage 2014; 101:390-403. [DOI: 10.1016/j.neuroimage.2014.06.075] [Citation(s) in RCA: 72] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2014] [Revised: 04/30/2014] [Accepted: 06/28/2014] [Indexed: 12/13/2022] Open
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43
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Filippi CG, Cauley KA. Lesions of the Corpus Callosum and Other Commissural Fibers: Diffusion Tensor Studies. Semin Ultrasound CT MR 2014; 35:445-58. [DOI: 10.1053/j.sult.2014.06.004] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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44
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Oh J, Seigo M, Saidha S, Sotirchos E, Zackowski K, Chen M, Prince J, Diener-West M, Calabresi PA, Reich DS. Spinal cord normalization in multiple sclerosis. J Neuroimaging 2014; 24:577-584. [PMID: 24593281 DOI: 10.1111/jon.12097] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2013] [Revised: 10/06/2013] [Accepted: 11/19/2013] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND Spinal cord (SC) pathology is common in multiple sclerosis (MS), and measures of SC-atrophy are increasingly utilized. Normalization reduces biological variation of structural measurements unrelated to disease, but optimal parameters for SC volume (SCV)-normalization remain unclear. Using a variety of normalization factors and clinical measures, we assessed the effect of SCV normalization on detecting group differences and clarifying clinical-radiological correlations in MS. METHODS 3T cervical SC-MRI was performed in 133 MS cases and 11 healthy controls (HC). Clinical assessment included expanded disability status scale (EDSS), MS functional composite (MSFC), quantitative hip-flexion strength ("strength"), and vibration sensation threshold ("vibration"). SCV between C3 and C4 was measured and normalized individually by subject height, SC-length, and intracranial volume (ICV). RESULTS There were group differences in raw-SCV and after normalization by height and length (MS vs. HC; progressive vs. relapsing MS-subtypes, P < .05). There were correlations between clinical measures and raw-SCV (EDSS:r = -.20; MSFC:r = .16; strength:r = .35; vibration:r = -.19). Correlations consistently strengthened with normalization by length (EDSS:r = -.43; MSFC:r = .33; strength:r = .38; vibration:r = -.40), and height (EDSS:r = -.26; MSFC:r = .28; strength:r = .22; vibration:r = -.29), but diminished with normalization by ICV (EDSS:r = -.23; MSFC:r = -.10; strength:r = .23; vibration:r = -.35). In relapsing MS, normalization by length allowed statistical detection of correlations that were not apparent with raw-SCV. CONCLUSIONS SCV-normalization by length improves the ability to detect group differences, strengthens clinical-radiological correlations, and is particularly relevant in settings of subtle disease-related SC-atrophy in MS. SCV-normalization by length may enhance the clinical utility of measures of SC-atrophy.
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Affiliation(s)
- Jiwon Oh
- Department of Neurology, Johns Hopkins University
| | | | - Shiv Saidha
- Department of Neurology, Johns Hopkins University
| | | | - Kathy Zackowski
- Department of Physical Medicine and Rehabilitation, Johns Hopkins University.,Motion Analysis Laboratory, Kennedy Krieger Institute
| | - Min Chen
- Department of Electrical and Computer Engineering, Johns Hopkins University
| | - Jerry Prince
- Department of Electrical and Computer Engineering, Johns Hopkins University.,Department of Computer Science, Johns Hopkins University
| | | | | | - Daniel S Reich
- Department of Neurology, Johns Hopkins University.,Department of Biostatistics, Johns Hopkins University.,Department of Radiology and Radiological Science, Johns Hopkins University.,Translational Neuroradiology Unit, National Institute of Neurological Disorders and Stroke
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45
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Ontaneda D, Sakaie K, Lin J, Wang X, Lowe MJ, Phillips MD, Fox RJ. Identifying the start of multiple sclerosis injury: a serial DTI study. J Neuroimaging 2014; 24:569-576. [PMID: 25370339 DOI: 10.1111/jon.12082] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2013] [Revised: 10/14/2013] [Accepted: 11/22/2013] [Indexed: 11/27/2022] Open
Abstract
BACKGROUND The events leading up to the development of new multiple sclerosis (MS) lesions on conventional imaging are unknown. The purpose of this study is to use diffusion tensor imaging (DTI) to investigate prelesional changes in MS to better understand the pathological changes that lead to lesion development. METHODS Twenty-one patients with relapsing MS starting natalizumab therapy underwent serial DTI for 12-18 months. Regions of interest were outlined within normal-appearing white matter and new gadolinium-enhancing lesions that developed over the course of the study. Images from all time points were coregistered and nonparametric regression was used to assess DTI changes prior to lesion appearance. RESULTS A total of 31 newly enhancing lesions were identified. Significant changes in transverse diffusivity (TD) (P < .001), longitudinal diffusivity (LD) (P = .025), mean diffusivity (MD) (P < .001), and fractional anisotropy (FA) (P = .04) were observed prior to gadolinium enhancement. A progressive increase in TD and LD occurred up to 10 months prior to lesion development. DTI measures in normal appearing white matter remained unchanged over the study period. CONCLUSIONS A significant change in diffusion measures can be seen prior to gadolinium enhancement. Changes in TD drove changes in FA and MD, providing evidence for impaired myelin integrity prior to gadolinium enhancement. DTI may be a sensitive measure for early detection of inflammatory disease activity in MS.
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Affiliation(s)
- Daniel Ontaneda
- Mellen Center, Department of Neurology, Neurological Institute, Cleveland Clinic, Cleveland, OH
| | - Ken Sakaie
- Imaging Institute, Cleveland Clinic, Cleveland, OH
| | - Jian Lin
- Imaging Institute, Cleveland Clinic, Cleveland, OH
| | - Xiaofeng Wang
- Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH
| | - Mark J Lowe
- Imaging Institute, Cleveland Clinic, Cleveland, OH
| | | | - Robert J Fox
- Mellen Center, Department of Neurology, Neurological Institute, Cleveland Clinic, Cleveland, OH
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46
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Weidauer S, Nichtweiss M, Hattingen E. Differential diagnosis of white matter lesions: Nonvascular causes-Part II. Clin Neuroradiol 2014; 24:93-110. [PMID: 24519493 DOI: 10.1007/s00062-013-0267-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2013] [Accepted: 10/17/2013] [Indexed: 12/29/2022]
Abstract
The knowledge of characteristic lesion patterns is important in daily practice imaging, as the radiologist increasingly is required to provide precise differential diagnosis despite unspecific clinical symptoms like cognitive impairment and missed elaborated neurological workup. This part II dealing with nonvascular white matter changes of proven cause and diagnostic significance aimed to assist the evaluation of diseases exhibiting lesions exclusively or predominantly located in the white matter. The etiologies commented on are classified as follows: (a) toxic-metabolic, (b) leukodystrophies and mitochondriopathies, (c) infectious, (d) neoplastic, and (e) immune mediated. The respective mode of lesion formation is characterized, and typical radiological findings are displayed. More or less symmetrical lesion patterns on the one hand as well as focal and multifocal ones on the other are to be analyzed with reference to clinical data and knowledge of predilection sites characterizing major disease categories. Complementing spinal cord imaging may be useful not only in acute and relapsing demyelinating diseases but in certain leukodystrophies as well. In neuromyelitis optica (NMO), the detection of a specific antibody and some recently published observations may lead to a new understanding of certain deep white matter lesions occasionally complicating systemic autoimmune disease.
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Affiliation(s)
- S Weidauer
- Department of Neurology, Sankt Katharinen Hospital, Teaching Hospital of the Goethe University, Seckbacher Landstraße 65, 60389, Frankfurt am Main, Germany,
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47
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Bonzano L, Tacchino A, Brichetto G, Roccatagliata L, Dessypris A, Feraco P, Lopes De Carvalho ML, Battaglia MA, Mancardi GL, Bove M. Upper limb motor rehabilitation impacts white matter microstructure in multiple sclerosis. Neuroimage 2013; 90:107-16. [PMID: 24370819 DOI: 10.1016/j.neuroimage.2013.12.025] [Citation(s) in RCA: 61] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2013] [Revised: 11/09/2013] [Accepted: 12/14/2013] [Indexed: 10/25/2022] Open
Abstract
Upper limb impairments can occur in patients with multiple sclerosis, affecting daily living activities; however there is at present no definite agreement on the best rehabilitation treatment strategy to pursue. Moreover, motor training has been shown to induce changes in white matter architecture in healthy subjects. This study aimed at evaluating the motor behavioral and white matter microstructural changes following a 2-month upper limb motor rehabilitation treatment based on task-oriented exercises in patients with multiple sclerosis. Thirty patients (18 females and 12 males; age=43.3 ± 8.7 years) in a stable phase of the disease presenting with mild or moderate upper limb sensorimotor deficits were randomized into two groups of 15 patients each. Both groups underwent twenty 1-hour treatment sessions, three times a week. The "treatment group" received an active motor rehabilitation treatment, based on voluntary exercises including task-oriented exercises, while the "control group" underwent passive mobilization of the shoulder, elbow, wrist and fingers. Before and after the rehabilitation protocols, motor performance was evaluated in all patients with standard tests. Additionally, finger motor performance accuracy was assessed by an engineered glove. In the same sessions, every patient underwent diffusion tensor imaging to obtain parametric maps of fractional anisotropy, mean diffusivity, axial diffusivity, and radial diffusivity. The mean value of each parameter was separately calculated within regions of interest including the fiber bundles connecting brain areas involved in voluntary movement control: the corpus callosum, the corticospinal tracts and the superior longitudinal fasciculi. The two rehabilitation protocols induced similar effects on unimanual motor performance, but the bimanual coordination task revealed that the residual coordination abilities were maintained in the treated patients while they significantly worsened in the control group (p=0.002). Further, in the treatment group white matter integrity in the corpus callosum and corticospinal tracts was preserved while a microstructural integrity worsening was found in the control group (fractional anisotropy of the corpus callosum and corticospinal tracts: p=0.033 and p=0.022; radial diffusivity of the corpus callosum and corticospinal tracts: p=0.004 and p=0.008). Conversely, a significant increase of radial diffusivity was observed in the superior longitudinal fasciculi in both groups (p=0.02), indicating lack of treatment effects on this structure, showing damage progression likely due to a demyelination process. All these findings indicate the importance of administering, when possible, a rehabilitation treatment consisting of voluntary movements. We also demonstrated that the beneficial effects of a rehabilitation treatment are task-dependent and selective in their target; this becomes crucial towards the implementation of tailored rehabilitative approaches.
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Affiliation(s)
- Laura Bonzano
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy; Magnetic Resonance Research Centre on Nervous System Diseases, University of Genoa, Genoa, Italy.
| | - Andrea Tacchino
- Scientific Research Area, Italian Multiple Sclerosis Foundation (FISM), Genoa, Italy
| | - Giampaolo Brichetto
- Scientific Research Area, Italian Multiple Sclerosis Foundation (FISM), Genoa, Italy
| | - Luca Roccatagliata
- Magnetic Resonance Research Centre on Nervous System Diseases, University of Genoa, Genoa, Italy; Department of Health Sciences, Biostatistics Unit, University of Genoa, Genoa, Italy
| | - Adriano Dessypris
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy; Department of Experimental Medicine, Section of Human Physiology and Centro Polifunzionale di Scienze Motorie, University of Genoa, Genoa, Italy
| | - Paola Feraco
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy
| | | | - Mario A Battaglia
- Department of Physiopathology, Experimental Medicine and Public Health, University of Siena, Siena, Italy
| | - Giovanni L Mancardi
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy; Magnetic Resonance Research Centre on Nervous System Diseases, University of Genoa, Genoa, Italy
| | - Marco Bove
- Department of Experimental Medicine, Section of Human Physiology and Centro Polifunzionale di Scienze Motorie, University of Genoa, Genoa, Italy.
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48
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Shou H, Eloyan A, Lee S, Zipunnikov V, Crainiceanu AN, Nebel NB, Caffo B, Lindquist MA, Crainiceanu CM. Quantifying the reliability of image replication studies: the image intraclass correlation coefficient (I2C2). COGNITIVE, AFFECTIVE & BEHAVIORAL NEUROSCIENCE 2013; 13:714-24. [PMID: 24022791 PMCID: PMC3869880 DOI: 10.3758/s13415-013-0196-0] [Citation(s) in RCA: 60] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
This article proposes the image intraclass correlation (I2C2) coefficient as a global measure of reliability for imaging studies. The I2C2 generalizes the classic intraclass correlation (ICC) coefficient to the case when the data of interest are images, thereby providing a measure that is both intuitive and convenient. Drawing a connection with classical measurement error models for replication experiments, the I2C2 can be computed quickly, even in high-dimensional imaging studies. A nonparametric bootstrap procedure is introduced to quantify the variability of the I2C2 estimator. Furthermore, a Monte Carlo permutation is utilized to test reproducibility versus a zero I2C2, representing complete lack of reproducibility. Methodologies are applied to three replication studies arising from different brain imaging modalities and settings: regional analysis of volumes in normalized space imaging for characterizing brain morphology, seed-voxel brain activation maps based on resting-state functional magnetic resonance imaging (fMRI), and fractional anisotropy in an area surrounding the corpus callosum via diffusion tensor imaging. Notably, resting-state fMRI brain activation maps are found to have low reliability, ranging from .2 to .4. Software and data are available to provide easy access to the proposed methods.
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49
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Keller J, Rulseh AM, Komárek A, Latnerová I, Rusina R, Brožová H, Vymazal J. New non-linear color look-up table for visualization of brain fractional anisotropy based on normative measurements - principals and first clinical use. PLoS One 2013; 8:e71431. [PMID: 23990954 PMCID: PMC3750032 DOI: 10.1371/journal.pone.0071431] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2013] [Accepted: 06/28/2013] [Indexed: 12/14/2022] Open
Abstract
Fractional anisotropy (FA) is the most commonly used quantitative measure of diffusion in the brain. Changes in FA have been reported in many neurological disorders, but the implementation of diffusion tensor imaging (DTI) in daily clinical practice remains challenging. We propose a novel color look-up table (LUT) based on normative data as a tool for screening FA changes. FA was calculated for 76 healthy volunteers using 12 motion-probing gradient directions (MPG), a subset of 59 subjects was additionally scanned using 30 MPG. Population means and 95% prediction intervals for FA in the corpus callosum, frontal gray matter, thalamus and basal ganglia were used to create the LUT. Unique colors were assigned to inflection points with continuous ramps between them. Clinical use was demonstrated on 17 multiple system atrophy (MSA) patients compared to 13 patients with Parkinson disease (PD) and 17 healthy subjects. Four blinded radiologists classified subjects as MSA/non-MSA. Using only the LUT, high sensitivity (80%) and specificity (84%) were achieved in differentiating MSA subjects from PD subjects and controls. The LUTs generated from 12 and 30 MPG were comparable and accentuate FA abnormalities.
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Affiliation(s)
- Jiří Keller
- Department of Neurology, Third Faculty of Medicine, Charles University in Prague, Prague, Czech Republic
- Department of Radiology, Na Homolce Hospital, Prague, Czech Republic
- * E-mail:
| | - Aaron M. Rulseh
- Department of Radiology, Na Homolce Hospital, Prague, Czech Republic
| | - Arnošt Komárek
- Department of Probability and Mathematical Statistics, Faculty of Mathematics and Physics, Charles University in Prague, Prague, Czech Republic
| | - Iva Latnerová
- Department of Radiology, Na Homolce Hospital, Prague, Czech Republic
| | - Robert Rusina
- Department of Neurology, Thomayer Hospital, Prague, Czech Republic
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine and General University Hospital in Prague, Prague, Czech Republic
| | - Hana Brožová
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine and General University Hospital in Prague, Prague, Czech Republic
| | - Josef Vymazal
- Department of Radiology, Na Homolce Hospital, Prague, Czech Republic
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50
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Bigler ED. Traumatic brain injury, neuroimaging, and neurodegeneration. Front Hum Neurosci 2013; 7:395. [PMID: 23964217 PMCID: PMC3734373 DOI: 10.3389/fnhum.2013.00395] [Citation(s) in RCA: 135] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2012] [Accepted: 07/05/2013] [Indexed: 12/14/2022] Open
Abstract
Depending on severity, traumatic brain injury (TBI) induces immediate neuropathological effects that in the mildest form may be transient but as severity increases results in neural damage and degeneration. The first phase of neural degeneration is explainable by the primary acute and secondary neuropathological effects initiated by the injury; however, neuroimaging studies demonstrate a prolonged period of pathological changes that progressively occur even during the chronic phase. This review examines how neuroimaging may be used in TBI to understand (1) the dynamic changes that occur in brain development relevant to understanding the effects of TBI and how these relate to developmental stage when the brain is injured, (2) how TBI interferes with age-typical brain development and the effects of aging thereafter, and (3) how TBI results in greater frontotemporolimbic damage, results in cerebral atrophy, and is more disruptive to white matter neural connectivity. Neuroimaging quantification in TBI demonstrates degenerative effects from brain injury over time. An adverse synergistic influence of TBI with aging may predispose the brain injured individual for the development of neuropsychiatric and neurodegenerative disorders long after surviving the brain injury.
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Affiliation(s)
- Erin D Bigler
- Department of Psychology, Brigham Young University Provo, UT, USA ; Neuroscience Center, Brigham Young University Provo, UT, USA ; Department of Psychiatry, University of Utah Salt Lake City, UT, USA ; The Brain Institute of Utah, University of Utah Salt Lake City, UT, USA
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