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Morozumi T, Preziosa P, Meani A, Pessina G, Pagani E, Azzimonti M, Filippi M, Rocca MA. Brain and cervical spinal cord MRI correlates of sensorimotor impairment in patients with multiple sclerosis. Mult Scler 2024; 30:1004-1015. [PMID: 38912804 DOI: 10.1177/13524585241260145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/25/2024]
Abstract
BACKGROUND Cervical spinal cord (cSC) lesions and atrophy contribute to disability in multiple sclerosis (MS), but associations with specific sensorimotor dysfunction require further exploration. OBJECTIVE To investigate the associations of brain and cSC magnetic resonance imaging (MRI) measures with sensorimotor impairment in MS. METHODS One hundred fifty-one MS patients and 69 healthy controls underwent 3T MRI and clinical assessments including Expanded Disability Status Scale (EDSS), 9-hole peg test (9-HPT), finger tapping test (FTT), timed 25-foot walk test (T25FWT), and vibration detection threshold (VDT). Random forest ranked brain (T2-hyperintense lesion volume (T2-LV) and normalized deep gray matter (GM), cortical and white matter (WM) volumes) and cSC (T2-LV and total, GM, and WM cross-sectional areas (CSAs) at C2/C3 level) MRI measures relevance in explaining EDSS milestones (EDSS ⩾3.0, ⩾4.0, and ⩾6.0), VDT, pyramidal and sensory functional systems (P-FS and S-FS ⩾2), and motor tests impairment. RESULTS Various combinations of brain and cSC MRI measures explained EDSS milestones (area under the curve (AUC) =0.879-0.900), VDT (R2 = 0.194), and impaired P-FS (AUC = 0.820), S-FS (AUC = 0.795), 9-HPT (AUC = 0.793), FTT (AUC = 0.740), and T25FWT (AUC = 0.825). cSC GM CSA was the most informative feature for all outcomes, except 9-HPT. CONCLUSION cSC MRI measures, especially GM CSA, explain EDSS and sensorimotor dysfunction better than brain measures in MS.
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Affiliation(s)
- Tetsu Morozumi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Paolo Preziosa
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy/Vita-Salute San Raffaele University, Milan, Italy
| | - Alessandro Meani
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Giorgia Pessina
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Elisabetta Pagani
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Matteo Azzimonti
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy/Vita-Salute San Raffaele University, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
- Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Maria A Rocca
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy/Vita-Salute San Raffaele University, Milan, Italy
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Prosperini L, Alcamisi I, Quartuccio ME, Rossi I, Fortuna D, Ruggieri S. Brain and cognitive reserve mitigate balance dysfunction in multiple sclerosis. Neurol Sci 2023; 44:4411-4420. [PMID: 37464205 DOI: 10.1007/s10072-023-06951-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 07/05/2023] [Indexed: 07/20/2023]
Abstract
BACKGROUND Approximately two-thirds of patients with multiple sclerosis (MS) complain different degrees of balance dysfunction, but some of them are able to withstand considerable disease burden without an overt balance impairment. Here, we tested the hypothesis that brain and cognitive reserve lessen the effect of MS-related tissue damage on balance control. METHODS We measured the postural sway of 148 patients and 74 sex- and age-matched healthy controls by force platform under different conditions reflecting diverse neuro-pathological substrates of balance dysfunction: eyes opened (EO), eyes closed (EC), and while performing the Stroop test, i.e., dual-task (DT). Lesion volumes on T2-hyperintense and T1-hypointense sequences, and normalized brain volume provided estimations of MS-related tissue damage in patients with MS. Hierarchical linear regressions explored the protective effect against the MS-related tissue damage of intracranial volume and educational attainment (proxies for brain and cognitive reserve, respectively) on balance. RESULTS Larger intracranial volume and high educational attainment mitigated the detrimental effect of MS-related tissue damage on postural sway under EO (adjusted-R2=0.20 and 0.27, respectively, p<0.01) and DT (adjusted-R2=0.22 and 0.30, respectively, p<0.06) conditions. Neither educational level nor brain size was associated with postural sway under EC condition. CONCLUSION Our findings suggest a protective role of brain and cognitive reserve even on balance, an outcome that relies on both motor control and higher order processing resources. The lack of a protective effect on postural sway under EC condition confirms that this latter outcome is closer associated with spinal cord rather than brain damage.
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Affiliation(s)
- Luca Prosperini
- Department of Neurosciences, S. Camillo-Forlanini Hospital, C.ne Gianicolense 87, 00152, Rome, Italy.
| | - Irene Alcamisi
- Department of Rehabilitation Sciences and Health Professions, Sapienza University, Via Cardarelli s.n.c, 01100, Viterbo, Italy
| | | | - Ilaria Rossi
- Department of Neurosciences, S. Camillo-Forlanini Hospital, C.ne Gianicolense 87, 00152, Rome, Italy
| | - Deborah Fortuna
- Azienda Sanitaria Locale di Rieti, Via del Terminillo 42, 02100, Rieti, Italy
| | - Serena Ruggieri
- Department of Human Neurosciences, Sapienza University, Viale dell'Università 30, 00185, Rome, Italy
- Neuroimmunology Unit, Santa Lucia Foundation, Via del Fosso di Fiorano 64/65, 00143, Rome, Italy
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Alenazy MS, Al-Jaafari R, Daneshgar S, Folkesson-Dey A, Enoka RM. Influence of transcutaneous electrical nerve stimulation on the distance walked by older adults during the 6-min test of walking endurance. J Electromyogr Kinesiol 2023; 73:102827. [PMID: 37793315 DOI: 10.1016/j.jelekin.2023.102827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 09/20/2023] [Accepted: 09/20/2023] [Indexed: 10/06/2023] Open
Abstract
The purpose of our study was to compare the influence of two types of transcutaneous electrical nerve stimulation (TENS) on the performance of older adults on the 6-min test of walking endurance and on the ability to maintain balance during upright standing. Twenty-six healthy older adults (72 ± 5.4 yrs) performed tests of motor function while TENS was applied to the tibialis anterior and rectus femoris muscles of each leg. Linear mixed models were used to compare the influence of TENS on walking distance in a 6-min test of walking endurance and on sway-area rate in tests of standing balance. There was a significant decrease in the distances walked in each minute of the 6-min walk test for both the Continuous and Burst TENS modes compared with Baseline (p < 0.01 and p < 0.001, respectively). The influence of TENS on walking distance was associated with several significant effects on the mean and coefficient of variation for stride length and stride frequency between the first and last minute of the test and between the two TENS modes and the Baseline values. In contrast, there was no significant effect of TENS on sway-area rate in any balance test, which indicates that the supplementary sensory feedback compromised walking performance of older adults but not the ability to maintain balance during upright standing.
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Affiliation(s)
- Mohammed S Alenazy
- Department of Integrative Physiology, USA; University of Colorado Boulder, USA
| | - Rehab Al-Jaafari
- Department of Integrative Physiology, USA; University of Colorado Boulder, USA
| | - Sajjad Daneshgar
- Department of Integrative Physiology, USA; University of Colorado Boulder, USA
| | | | - Roger M Enoka
- Department of Integrative Physiology, USA; University of Colorado Boulder, USA.
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Chen LM, Wang F, Mishra A, Yang PF, Sengupta A, Reed JL, Gore JC. Longitudinal multiparametric MRI of traumatic spinal cord injury in animal models. Magn Reson Imaging 2023; 102:184-200. [PMID: 37343904 PMCID: PMC10528214 DOI: 10.1016/j.mri.2023.06.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 06/14/2023] [Accepted: 06/17/2023] [Indexed: 06/23/2023]
Abstract
Multi-parametric MRI (mpMRI) technology enables non-invasive and quantitative assessments of the structural, molecular, and functional characteristics of various neurological diseases. Despite the recognized importance of studying spinal cord pathology, mpMRI applications in spinal cord research have been somewhat limited, partly due to technical challenges associated with spine imaging. However, advances in imaging techniques and improved image quality now allow longitudinal investigations of a comprehensive range of spinal cord pathological features by exploiting different endogenous MRI contrasts. This review summarizes the use of mpMRI techniques including blood oxygenation level-dependent (BOLD) functional MRI (fMRI), diffusion tensor imaging (DTI), quantitative magnetization transfer (qMT), and chemical exchange saturation transfer (CEST) MRI in monitoring different aspects of spinal cord pathology. These aspects include cyst formation and axonal disruption, demyelination and remyelination, changes in the excitability of spinal grey matter and the integrity of intrinsic functional circuits, and non-specific molecular changes associated with secondary injury and neuroinflammation. These approaches are illustrated with reference to a nonhuman primate (NHP) model of traumatic cervical spinal cord injuries (SCI). We highlight the benefits of using NHP SCI models to guide future studies of human spinal cord pathology, and demonstrate how mpMRI can capture distinctive features of spinal cord pathology that were previously inaccessible. Furthermore, the development of mechanism-based MRI biomarkers from mpMRI studies can provide clinically useful imaging indices for understanding the mechanisms by which injured spinal cords progress and repair. These biomarkers can assist in the diagnosis, prognosis, and evaluation of therapies for SCI patients, potentially leading to improved outcomes.
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Affiliation(s)
- Li Min Chen
- Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
| | - Feng Wang
- Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Arabinda Mishra
- Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Pai-Feng Yang
- Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Anirban Sengupta
- Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jamie L Reed
- Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA
| | - John C Gore
- Vanderbilt University Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA
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Sandroff BM, Rafizadeh CM, Motl RW. Neuroimaging Technology in Exercise Neurorehabilitation Research in Persons with MS: A Scoping Review. SENSORS (BASEL, SWITZERLAND) 2023; 23:s23094530. [PMID: 37177732 PMCID: PMC10181711 DOI: 10.3390/s23094530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2023] [Revised: 04/28/2023] [Accepted: 05/03/2023] [Indexed: 05/15/2023]
Abstract
There is increasing interest in the application of neuroimaging technology in exercise neurorehabilitation research among persons with multiple sclerosis (MS). The inclusion and focus on neuroimaging outcomes in MS exercise training research is critical for establishing a biological basis for improvements in functioning and elevating exercise within the neurologist's clinical armamentarium alongside disease modifying therapies as an approach for treating the disease and its consequences. Indeed, the inclusion of selective neuroimaging approaches and sensor-based technology among physical activity, mobility, and balance outcomes in such MS research might further allow for detecting specific links between the brain and real-world behavior. This paper provided a scoping review on the application of neuroimaging in exercise training research among persons with MS based on searches conducted in PubMed, Web of Science, and Scopus. We identified 60 studies on neuroimaging-technology-based (primarily MRI, which involved a variety of sequences and approaches) correlates of functions, based on multiple sensor-based measures, which are typically targets for exercise training trials in MS. We further identified 12 randomized controlled trials of exercise training effects on neuroimaging outcomes in MS. Overall, there was a large degree of heterogeneity whereby we could not identify definitive conclusions regarding a consistent neuroimaging biomarker of MS-related dysfunction or singular sensor-based measure, or consistent neural adaptation for exercise training in MS. Nevertheless, the present review provides a first step for better linking correlational and randomized controlled trial research for the development of high-quality exercise training studies on the brain in persons with MS, and this is timely given the substantial interest in exercise as a potential disease-modifying and/or neuroplasticity-inducing behavior in this population.
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Affiliation(s)
- Brian M Sandroff
- Center for Neuropsychology and Neuroscience Research, Kessler Foundation, 1199 Pleasant Valley Way, West Orange, NJ 07052, USA
- Department of Physical Medicine and Rehabilitation, Rutgers New Jersey Medical School, Newark, NJ 07103, USA
| | - Caroline M Rafizadeh
- Center for Neuropsychology and Neuroscience Research, Kessler Foundation, 1199 Pleasant Valley Way, West Orange, NJ 07052, USA
| | - Robert W Motl
- Department of Kinesiology and Nutrition, University of Illinois Chicago, Chicago, IL 60607, USA
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Ichimiya Y, Chong PF, Sonoda Y, Tocan V, Watanabe M, Torisu H, Kira R, Takahashi T, Kira JI, Isobe N, Sakai Y, Ohga S. Long-lasting pain and somatosensory disturbances in children with myelin oligodendrocyte glycoprotein antibody-associated disease. Eur J Pediatr 2023:10.1007/s00431-023-04989-z. [PMID: 37119299 DOI: 10.1007/s00431-023-04989-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 03/22/2023] [Accepted: 04/17/2023] [Indexed: 05/01/2023]
Abstract
Myelin oligodendrocyte glycoprotein antibody (MOG-Ab) is an autoantibody associated with acquired demyelinating syndrome (ADS) in childhood and adults. The pathogenic roles of MOG-Ab and long-term outcomes of children with MOG-Ab-associated disease (MOGAD) remain elusive. We investigated the clinical features of children with ADS during follow-up in our institute. Clinical data were retrospectively analyzed using medical charts of patients managed in Kyushu University Hospital from January 1st, 2001, to March 31st, 2022. Participants were children of < 18 years of age when they received a diagnosis of ADS in our hospital. Cell-based assays were used to detect MOG-Ab in serum or cerebrospinal fluid at the onset or recurrence of ADS. The clinical and neuroimaging data of MOG-Ab-positive and MOG-Ab-negative patients were statistically analyzed. Among 31 patients enrolled in this study, 22 (13 females, 59%) received tests for MOG antibodies. Thirteen cases (59%) were MOG-Ab-positive and were therefore defined as MOGAD; 9 (41%) were MOG-Ab-negative. There were no differences between MOGAD and MOG-Ab-negative patients in age at onset, sex, diagnostic subcategories, or duration of follow-up. MOGAD patients experienced headache and/or somatosensory symptoms more frequently than MOG-Ab-negative patients (12/13 (92%) vs. 3/9 (22%); p = 0.0066). Somatosensory problems included persistent pain with hyperesthesia in the left toe, perineal dysesthesia, and facial hypesthesia. No specific neuroimaging findings were associated with MOGAD or the presence of somatosensory symptoms. CONCLUSIONS Long-lasting somatosensory disturbances are prominent comorbidities in children with MOGAD. Prospective cohorts are required to identify molecular and immunogenetic profiles associated with somatosensory problems in MOGAD. WHAT IS KNOWN • Recurrence of demyelinating events occurs in a group of children with myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD). WHAT IS NEW • Long-lasting headache and somatosensory problems are frequent comorbidities with pediatric MOGAD. Pain and somatosensory problems may persist for more than 5 years. • Neuroimaging data do not indicate specific findings in children with somatic disturbances.
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Affiliation(s)
- Yuko Ichimiya
- Department of Pediatrics, Graduate School of Medical Sciences, Kyushu University, Fukuoka, 812-8582, Japan
| | - Pin Fee Chong
- Department of Pediatrics, Graduate School of Medical Sciences, Kyushu University, Fukuoka, 812-8582, Japan
| | - Yuri Sonoda
- Department of Pediatrics, Graduate School of Medical Sciences, Kyushu University, Fukuoka, 812-8582, Japan
- Research Center for Environment and Developmental Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Vlad Tocan
- Department of Pediatrics, Graduate School of Medical Sciences, Kyushu University, Fukuoka, 812-8582, Japan
| | - Mitsuru Watanabe
- Department of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Hiroyuki Torisu
- Department of Pediatrics, Graduate School of Medical Sciences, Kyushu University, Fukuoka, 812-8582, Japan
- Section of Pediatrics, Department of Medicine, Fukuoka Dental College, Fukuoka, Japan
| | - Ryutaro Kira
- Department of Pediatrics, Graduate School of Medical Sciences, Kyushu University, Fukuoka, 812-8582, Japan
- Department of Pediatric Neurology, Fukuoka Children's Hospital, Fukuoka, Japan
| | - Toshiyuki Takahashi
- Department of Neurology, Tohoku University Graduate School of Medicine, Sendai, Japan
- Department of Neurology, National Hospital Organization, Yonezawa National Hospital, Yonezawa, Japan
| | - Jun-Ichi Kira
- Department of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
- Department of Neurology, Brain and Nerve Center, Fukuoka Central Hospital, Fukuoka, Japan
| | - Noriko Isobe
- Department of Neurology, Neurological Institute, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yasunari Sakai
- Department of Pediatrics, Graduate School of Medical Sciences, Kyushu University, Fukuoka, 812-8582, Japan.
| | - Shouichi Ohga
- Department of Pediatrics, Graduate School of Medical Sciences, Kyushu University, Fukuoka, 812-8582, Japan
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Henning DA, Huisinga JM, Lynch S, Fritz NE. Cognition and proprioception in persons with multiple sclerosis and healthy controls: Nascent findings. Mult Scler Relat Disord 2022; 68:104372. [PMID: 36544319 DOI: 10.1016/j.msard.2022.104372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 09/24/2022] [Accepted: 10/23/2022] [Indexed: 11/06/2022]
Abstract
BACKGROUND Although proprioception and cognitive dysfunction are commonly associated with balance impairment and fall risk in persons with multiple sclerosis (MS), the relationship between cognitive functioning and a quantitative measure of proprioception has not been examined in MS. OBJECTIVE The primary goals of this study were to determine differences in vibratory sensation, a proxy measure of proprioception between persons with MS and healthy controls, examine relationships between cognition and vibration sensation, and determine the contribution of cognitive function and demographics to vibratory sensation between persons with MS and healthy controls. METHODS One hundred and twenty-two individuals with MS, aged 20-60, with Expanded Disability Status Scale (EDSS) scores ≤5.5 and 48 healthy controls completed reaction time testing, the Stroop test and lower extremity vibratory sensation. RESULTS Persons with MS performed significantly worse than controls on measures of vibratory sensation (p = 0.001), two-choice reaction time (p = 0.018), and Stroop Incongruent (p < 0.001) Relative Incongruent Score (RIS) (p = 0.047). In MS, average vibration was significantly related to age (p = 0.002), sex (p = 0.038), disease severity (EDSS; p < 0.001), years since diagnosis (p = 0.016), and Stroop Word (p = 0.041). A model with demographics; including age and disease severity, two-choice reaction time, and RIS explained 33.2% of the variance vibratory sensation in persons with MS. CONCLUSIONS These results provide early evidence for the relation between cognitive functioning and proprioception in persons with MS and add to prior work linking cognitive functioning, postural control and falls in persons with MS. This work provides a basis for future studies combining quantitative measures of proprioception and cognitive and postural control assessment to improve fall prediction.
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Affiliation(s)
- David A Henning
- Department of Health Care Sciences, Wayne State University, 259 Mack Avenue, #2324, Detroit, MI 48201, USA
| | - Jessie M Huisinga
- Department of Physical Therapy, Rehabilitation Science, and Athletic Training, University of Kansas Medical Center, KU Medical Center 3901 Rainbow Blvd / MS2002, Kansas City, KS 66160, USA
| | - Sharon Lynch
- Department of Neurology, University of Kansas Medical Center, 3901 Rainbow Boulevard, Kansas City, KS 66160, USA
| | - Nora E Fritz
- Department of Health Care Sciences, Wayne State University, 259 Mack Avenue, #2324, Detroit, MI 48201, USA; Department of Neurology, Detroit Medical Center, University Health Center, Wayne State University, 8th floor 4201 St. Antoine, Detroit, MI 48201, USA.
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Edwards EM, Fritz NE, Therrien AS. Cerebellar Dysfunction in Multiple Sclerosis: Considerations for Research and Rehabilitation Therapy. Neurorehabil Neural Repair 2021; 36:103-106. [DOI: 10.1177/15459683211065442] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Introduction. Cerebellar pathology is common among persons with multiple sclerosis (PwMS). The cerebellum is well recognized for its role in motor control and motor learning and cerebellar pathology in multiple sclerosis is associated with enhanced motor impairment and disability progression. The Problem. To mitigate motor disability progression, PwMS are commonly prescribed exercise and task-specific rehabilitation training. Yet, whether cerebellar dysfunction differentially affects rehabilitation outcomes in this population remains unknown. Furthermore, we lack rehabilitation interventions targeting cerebellar dysfunction. The Solution. Here, we summarize the current understanding of the impact of cerebellar dysfunction on motor control, motor training, and rehabilitation in persons with multiple sclerosis. Recommendations. Additionally, we highlight critical knowledge gaps and propose that these guide future research studying cerebellar dysfunction in persons with multiple sclerosis.
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Affiliation(s)
- Erin M. Edwards
- Translational Neuroscience Program, Wayne State University, Detroit, MI, USA
| | - Nora E. Fritz
- Translational Neuroscience Program, Wayne State University, Detroit, MI, USA
- Physical Therapy Program, Wayne State University, Detroit, MI, USA
- Department of Neurology, Wayne State University, Detroit, MI, USA
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Sommer RC, Hata J, Rimkus CDM, Klein da Costa B, Nakahara J, Sato DK. Mechanisms of myelin repair, MRI techniques and therapeutic opportunities in multiple sclerosis. Mult Scler Relat Disord 2021; 58:103407. [DOI: 10.1016/j.msard.2021.103407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 10/29/2021] [Accepted: 11/13/2021] [Indexed: 11/16/2022]
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Valsasina P, Gobbi C, Zecca C, Rovira A, Sastre-Garriga J, Kearney H, Yiannakas M, Matthews L, Palace J, Gallo A, Bisecco A, Gass A, Eisele P, Filippi M, Rocca MA. Characterizing 1-year development of cervical cord atrophy across different MS phenotypes: A voxel-wise, multicentre analysis. Mult Scler 2021; 28:885-899. [PMID: 34605323 DOI: 10.1177/13524585211045545] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Spatio-temporal evolution of cord atrophy in multiple sclerosis (MS) has not been investigated yet. OBJECTIVE To evaluate voxel-wise distribution and 1-year changes of cervical cord atrophy in a multicentre MS cohort. METHODS Baseline and 1-year 3D T1-weighted cervical cord scans and clinical evaluations of 54 healthy controls (HC) and 113 MS patients (14 clinically isolated syndromes (CIS), 77 relapsing-remitting (RR), 22 progressive (P)) were used to investigate voxel-wise cord volume loss in patients versus HC, 1-year volume changes and clinical correlations (SPM12). RESULTS MS patients exhibited baseline cord atrophy versus HC at anterior and posterior/lateral C1/C2 and C4-C6 (p < 0.05, corrected). While CIS patients showed baseline volume increase at C4 versus HC (p < 0.001, uncorrected), RRMS exhibited posterior/lateral C1/C2 atrophy versus CIS, and PMS showed widespread cord atrophy versus RRMS (p < 0.05, corrected). At 1 year, 13 patients had clinically worsened. Cord atrophy progressed in MS, driven by RRMS, at posterior/lateral C2 and C3-C6 (p < 0.05, corrected). CIS patients showed no volume changes, while PMS showed circumscribed atrophy progression. Baseline cord atrophy at posterior/lateral C1/C2 and C3-C6 correlated with concomitant and 1-year disability (r = -0.40/-0.62, p < 0.05, corrected). CONCLUSIONS Voxel-wise analysis characterized spinal cord neurodegeneration over 1 year across MS phenotypes and helped to explain baseline and 1-year disability.
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Affiliation(s)
- Paola Valsasina
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Claudio Gobbi
- Multiple Sclerosis Center, Department of Neurology, Neurocenter of Southern Switzerland, Civic Hospital, Lugano, Switzerland Faculty of Biomedical Sciences, Università della Svizzera Italiana (USI), Lugano. Switzerland
| | - Chiara Zecca
- Multiple Sclerosis Center, Department of Neurology, Neurocenter of Southern Switzerland, Civic Hospital, Lugano, Switzerland Faculty of Biomedical Sciences, Università della Svizzera Italiana (USI), Lugano. Switzerland
| | - Alex Rovira
- Section of Neuroradiology, Department of Radiology, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Jaume Sastre-Garriga
- Department of Neurology/Neuroimmunology, Multiple Sclerosis Center of Catalonia, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Hugh Kearney
- Department of Neurology, St. Vincent's University Hospital, Dublin, Ireland/NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, UK
| | - Marios Yiannakas
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, UK
| | - Lucy Matthews
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Jacqueline Palace
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Antonio Gallo
- Department of Advanced Medical and Surgical Sciences, 3T-MRI Research Centre, University of Campania 'Luigi Vanvitelli', Naples, Italy
| | - Alvino Bisecco
- Department of Advanced Medical and Surgical Sciences, 3T-MRI Research Centre, University of Campania 'Luigi Vanvitelli', Naples, Italy
| | - Achim Gass
- Department of Neurology/Neuroimaging, Medical Faculty Mannheim and Mannheim Center for Translational Neurosciences (MCTN), University of Heidelberg, Mannheim, Germany
| | - Philipp Eisele
- Department of Neurology/Neuroimaging, Medical Faculty Mannheim and Mannheim Center for Translational Neurosciences (MCTN), University of Heidelberg, Mannheim, Germany
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, Neurology Unit, Neurorehabilitation Unit, Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy/Vita-Salute San Raffaele University, Milan, Italy
| | - Maria A Rocca
- Neuroimaging Research Unit, Division of Neuroscience, Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
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Irimia A, Van Horn JD. Mapping the rest of the human connectome: Atlasing the spinal cord and peripheral nervous system. Neuroimage 2021; 225:117478. [PMID: 33160086 PMCID: PMC8485987 DOI: 10.1016/j.neuroimage.2020.117478] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Revised: 09/15/2020] [Accepted: 10/13/2020] [Indexed: 12/13/2022] Open
Abstract
The emergence of diffusion, structural, and functional neuroimaging methods has enabled major multi-site efforts to map the human connectome, which has heretofore been defined as containing all neural connections in the central nervous system (CNS). However, these efforts are not structured to examine the richness and complexity of the peripheral nervous system (PNS), which arguably forms the (neglected) rest of the connectome. Despite increasing interest in an atlas of the spinal cord (SC) and PNS which is simultaneously stereotactic, interactive, electronically dissectible, scalable, population-based and deformable, little attention has thus far been devoted to this task of critical importance. Nevertheless, the atlasing of these complete neural structures is essential for neurosurgical planning, neurological localization, and for mapping those components of the human connectome located outside of the CNS. Here we recommend a modification to the definition of the human connectome to include the SC and PNS, and argue for the creation of an inclusive atlas to complement current efforts to map the brain's human connectome, to enhance clinical education, and to assist progress in neuroscience research. In addition to providing a critical overview of existing neuroimaging techniques, image processing methodologies and algorithmic advances which can be combined for the creation of a full connectome atlas, we outline a blueprint for ultimately mapping the entire human nervous system and, thereby, for filling a critical gap in our scientific knowledge of neural connectivity.
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Affiliation(s)
- Andrei Irimia
- Ethel Percy Andrus Gerontology Center, Leonard Davis School of Gerontology, University of Southern California, 3715 McClintock Avenue, Los Angeles CA 90089, United States; Corwin D. Denney Research Center, Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, 1042 Downey Way, Los Angeles, CA 90089, United States.
| | - John Darrell Van Horn
- Department of Psychology, University of Virginia, 485 McCormick Road, Gilmer Hall, Room 102, Charlottesville, Virginia 22903, United States; School of Data Science, University of Virginia, Dell 1, Charlottesville, Virginia 22903, United States.
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12
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Kerbrat A, Gros C, Badji A, Bannier E, Galassi F, Combès B, Chouteau R, Labauge P, Ayrignac X, Carra-Dalliere C, Maranzano J, Granberg T, Ouellette R, Stawiarz L, Hillert J, Talbott J, Tachibana Y, Hori M, Kamiya K, Chougar L, Lefeuvre J, Reich DS, Nair G, Valsasina P, Rocca MA, Filippi M, Chu R, Bakshi R, Callot V, Pelletier J, Audoin B, Maarouf A, Collongues N, De Seze J, Edan G, Cohen-Adad J. Multiple sclerosis lesions in motor tracts from brain to cervical cord: spatial distribution and correlation with disability. Brain 2020; 143:2089-2105. [PMID: 32572488 DOI: 10.1093/brain/awaa162] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2019] [Revised: 02/27/2020] [Accepted: 04/02/2020] [Indexed: 11/12/2022] Open
Abstract
Despite important efforts to solve the clinico-radiological paradox, correlation between lesion load and physical disability in patients with multiple sclerosis remains modest. One hypothesis could be that lesion location in corticospinal tracts plays a key role in explaining motor impairment. In this study, we describe the distribution of lesions along the corticospinal tracts from the cortex to the cervical spinal cord in patients with various disease phenotypes and disability status. We also assess the link between lesion load and location within corticospinal tracts, and disability at baseline and 2-year follow-up. We retrospectively included 290 patients (22 clinically isolated syndrome, 198 relapsing remitting, 39 secondary progressive, 31 primary progressive multiple sclerosis) from eight sites. Lesions were segmented on both brain (T2-FLAIR or T2-weighted) and cervical (axial T2- or T2*-weighted) MRI scans. Data were processed using an automated and publicly available pipeline. Brain, brainstem and spinal cord portions of the corticospinal tracts were identified using probabilistic atlases to measure the lesion volume fraction. Lesion frequency maps were produced for each phenotype and disability scores assessed with Expanded Disability Status Scale score and pyramidal functional system score. Results show that lesions were not homogeneously distributed along the corticospinal tracts, with the highest lesion frequency in the corona radiata and between C2 and C4 vertebral levels. The lesion volume fraction in the corticospinal tracts was higher in secondary and primary progressive patients (mean = 3.6 ± 2.7% and 2.9 ± 2.4%), compared to relapsing-remitting patients (1.6 ± 2.1%, both P < 0.0001). Voxel-wise analyses confirmed that lesion frequency was higher in progressive compared to relapsing-remitting patients, with significant bilateral clusters in the spinal cord corticospinal tracts (P < 0.01). The baseline Expanded Disability Status Scale score was associated with lesion volume fraction within the brain (r = 0.31, P < 0.0001), brainstem (r = 0.45, P < 0.0001) and spinal cord (r = 0.57, P < 0.0001) corticospinal tracts. The spinal cord corticospinal tracts lesion volume fraction remained the strongest factor in the multiple linear regression model, independently from cord atrophy. Baseline spinal cord corticospinal tracts lesion volume fraction was also associated with disability progression at 2-year follow-up (P = 0.003). Our results suggest a cumulative effect of lesions within the corticospinal tracts along the brain, brainstem and spinal cord portions to explain physical disability in multiple sclerosis patients, with a predominant impact of intramedullary lesions.
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Affiliation(s)
- Anne Kerbrat
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, Canada.,CHU Rennes, Neurology department, Empenn U 1128 Inserm, CIC1414 Inserm, Rennes, France
| | - Charley Gros
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, Canada
| | - Atef Badji
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, Canada.,Department of Neurosciences, Faculty of Medicine, Université de Montréal, QC, Canada
| | - Elise Bannier
- CHU Rennes, Radiology department, Rennes, France.,Univ Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Empenn U1128, Rennes, France
| | - Francesca Galassi
- Univ Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Empenn U1128, Rennes, France
| | - Benoit Combès
- Univ Rennes, Inria, CNRS, Inserm, IRISA UMR 6074, Empenn U1128, Rennes, France
| | - Raphaël Chouteau
- CHU Rennes, Neurology department, Empenn U 1128 Inserm, CIC1414 Inserm, Rennes, France
| | - Pierre Labauge
- MS Unit, Department of Neurology, CHU Montpellier, Montpellier, France
| | - Xavier Ayrignac
- MS Unit, Department of Neurology, CHU Montpellier, Montpellier, France
| | | | - Josefina Maranzano
- McConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, Canada.,University of Quebec in Trois-Rivieres, Quebec, Canada
| | - Tobias Granberg
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Russell Ouellette
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Leszek Stawiarz
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Jan Hillert
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Jason Talbott
- Department of Radiology and Biomedical Imaging, Zuckerberg San Francisco General Hospital, University of California, San Francisco, CA, USA
| | | | - Masaaki Hori
- Toho University Omori Medical Center, Tokyo, Japan
| | | | - Lydia Chougar
- Department of Neuroradiology, La Pitié Salpêtrière Hospital, Paris, France
| | - Jennifer Lefeuvre
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Maryland, USA
| | - Daniel S Reich
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Maryland, USA
| | - Govind Nair
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Maryland, USA
| | - Paola Valsasina
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, and Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
| | - Maria A Rocca
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, and Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, and Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
| | - Renxin Chu
- Brigham and Women's Hospital, Harvard Medical School, Boston, USA
| | - Rohit Bakshi
- Brigham and Women's Hospital, Harvard Medical School, Boston, USA
| | - Virginie Callot
- AP-HM, Pôle d'imagerie médicale, Hôpital de la Timone, CEMEREM, Marseille, France.,Aix-Marseille Univ, CNRS, CRMBM, Marseille, France
| | - Jean Pelletier
- Aix-Marseille Univ, CNRS, CRMBM, Marseille, France.,AP-HM, CHU Timone, Pôle de Neurosciences Cliniques, Department of Neurology, Marseille, France
| | - Bertrand Audoin
- Aix-Marseille Univ, CNRS, CRMBM, Marseille, France.,AP-HM, CHU Timone, Pôle de Neurosciences Cliniques, Department of Neurology, Marseille, France
| | - Adil Maarouf
- Aix-Marseille Univ, CNRS, CRMBM, Marseille, France.,AP-HM, CHU Timone, Pôle de Neurosciences Cliniques, Department of Neurology, Marseille, France
| | - Nicolas Collongues
- Biopathologie de la Myéline, Neuroprotection et Stratégies Thérapeutiques, INSERM U1119, Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, Bâtiment 3 de la Faculté de Médecine, 67 000 Strasbourg, France.,Département de Neurologie, Centre Hospitalier Universitaire de Strasbourg, 67200 Strasbourg, France.,Centre d'investigation Clinique, INSERM U1434, Centre Hospitalier Universitaire de Strasbourg, 67000 Strasbourg, France
| | - Jérôme De Seze
- Biopathologie de la Myéline, Neuroprotection et Stratégies Thérapeutiques, INSERM U1119, Fédération de Médecine Translationnelle de Strasbourg (FMTS), Université de Strasbourg, Bâtiment 3 de la Faculté de Médecine, 67 000 Strasbourg, France.,Département de Neurologie, Centre Hospitalier Universitaire de Strasbourg, 67200 Strasbourg, France.,Centre d'investigation Clinique, INSERM U1434, Centre Hospitalier Universitaire de Strasbourg, 67000 Strasbourg, France
| | - Gilles Edan
- CHU Rennes, Neurology department, Empenn U 1128 Inserm, CIC1414 Inserm, Rennes, France
| | - Julien Cohen-Adad
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, Canada.,Functional Neuroimaging Unit, CRIUGM, University of Montreal, Montreal, Canada
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13
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Macromolecular changes in spinal cord white matter characterize whiplash outcome at 1-year post motor vehicle collision. Sci Rep 2020; 10:22221. [PMID: 33335188 PMCID: PMC7747591 DOI: 10.1038/s41598-020-79190-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Accepted: 11/30/2020] [Indexed: 11/30/2022] Open
Abstract
Each year, whiplash injuries from motor vehicle collisions (MVC) affect millions worldwide, with no strong evidence of pathology. While the majority recover soon after the injury, the same is not true for roughly 20% reporting higher levels of pain and distress, without diagnostic options. This study used magnetization transfer (MT) imaging to quantify white matter integrity in 78 subjects with varying levels of pain, 1 year after MVC. MT images of the cervical spinal cord were collected parallel to the intervertebral disks. MT ratios (MTR) were calculated in select white matter tracts along with MTR homogeneity (MTRh) at each level. Significant differences were observed between clinical outcome groups in the left and right spinothalamic tracts (p = 0.003 and 0.020) and MTRh (p = 0.009). MTRh was elevated in females with poor recovery versus females reporting recovery (p < 0.001) or milder symptoms (p < 0.001), and in males reporting recovery (p = 0.007) or no recovery (p < 0.001). There was a significant interaction between recovery status and sex (p = 0.015). MT imaging identified tract specific and regional changes in white matter integrity suggesting potential insults to the cord. Additionally, significant MTRh differences between sexes were observed, characterizing the heterogeneity of whiplash recovery and worse outcomes in females.
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14
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Imaging of the Spinal Cord in Multiple Sclerosis: Past, Present, Future. Brain Sci 2020; 10:brainsci10110857. [PMID: 33202821 PMCID: PMC7696997 DOI: 10.3390/brainsci10110857] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2020] [Revised: 10/30/2020] [Accepted: 11/11/2020] [Indexed: 11/17/2022] Open
Abstract
Spinal cord imaging in multiple sclerosis (MS) plays a significant role in diagnosing and tracking disease progression. The spinal cord is one of four key areas of the central nervous system where documenting the dissemination in space in the McDonald criteria for diagnosing MS. Spinal cord lesion load and the severity of cord atrophy are believed to be more relevant to disability than white matter lesions in the brain in different phenotypes of MS. Axonal loss contributes to spinal cord atrophy in MS and its degree correlates with disease severity and prognosis. Therefore, measures of axonal loss are often reliable biomarkers for monitoring disease progression. With recent technical advances, more and more qualitative and quantitative MRI techniques have been investigated in an attempt to provide objective and reliable diagnostic and monitoring biomarkers in MS. In this article, we discuss the role of spinal cord imaging in the diagnosis and prognosis of MS and, additionally, we review various techniques that may improve our understanding of the disease.
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15
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Rasoanandrianina H, Demortière S, Trabelsi A, Ranjeva JP, Girard O, Duhamel G, Guye M, Pelletier J, Audoin B, Callot V. Sensitivity of the Inhomogeneous Magnetization Transfer Imaging Technique to Spinal Cord Damage in Multiple Sclerosis. AJNR Am J Neuroradiol 2020; 41:929-937. [PMID: 32414903 DOI: 10.3174/ajnr.a6554] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Accepted: 03/12/2020] [Indexed: 12/11/2022]
Abstract
BACKGROUND AND PURPOSE The inhomogeneous magnetization transfer technique has demonstrated high specificity for myelin, and has shown sensitivity to multiple sclerosis-related impairment in brain tissue. Our aim was to investigate its sensitivity to spinal cord impairment in MS relative to more established MR imaging techniques (volumetry, magnetization transfer, DTI). MATERIALS AND METHODS Anatomic images covering the cervical spinal cord from the C1 to C6 levels and DTI, magnetization transfer/inhomogeneous magnetization transfer images at the C2/C5 levels were acquired in 19 patients with MS and 19 paired healthy controls. Anatomic images were segmented in spinal cord GM and WM, both manually and using the AMU40 atlases. MS lesions were manually delineated. MR metrics were analyzed within normal-appearing and lesion regions in anterolateral and posterolateral WM and compared using Wilcoxon rank tests and z scores. Correlations between MR metrics and clinical scores in patients with MS were evaluated using the Spearman rank correlation. RESULTS AMU40-based C1-to-C6 GM/WM automatic segmentations in patients with MS were evaluated relative to manual delineation. Mean Dice coefficients were 0.75/0.89, respectively. All MR metrics (WM/GM cross-sectional areas, normal-appearing and lesion diffusivities, and magnetization transfer/inhomogeneous magnetization transfer ratios) were observed altered in patients compared with controls (P < .05). Additionally, the absolute inhomogeneous magnetization transfer ratio z scores were significantly higher than those of the other MR metrics (P < .0001), suggesting a higher inhomogeneous magnetization transfer sensitivity toward spinal cord impairment in MS. Significant correlations with the Expanded Disability Status Scale (ρ = -0.73/P = .02, ρ = -0.81/P = .004) and the total Medical Research Council scale (ρ = 0.80/P = .009, ρ = -0.74/P = .02) were observed for inhomogeneous magnetization transfer and magnetization transfer ratio z scores, respectively, in normal-appearing WM regions, while weaker and nonsignificant correlations were obtained for DTI metrics. CONCLUSIONS With inhomogeneous magnetization transfer being highly sensitive to spinal cord damage in MS compared with conventional magnetization transfer and DTI, it could generate great clinical interest for longitudinal follow-up and potential remyelinating clinical trials. In line with other advanced myelin techniques with which it could be compared, it opens perspectives for multicentric investigations.
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Affiliation(s)
- H Rasoanandrianina
- From the Center for Magnetic Resonance in Biology and Medicine (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Centre National de la Recherche Scientifique, Aix-Marseille Université, Marseille, France.,Centre d'Exploration Métabolique par Résonance Magnétique (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Assistance Publique-Hopitaux de Marseille, Hôpital Universitaire Timone, Marseille, France.,Laboratoire de Biomécanique Appliquée, Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Reseaux, Aix-Marseille Université; iLab-Spine International Associated Laboratory (H.R., J.P.R., V.C.), Marseille-Montreal, France-Canada
| | - S Demortière
- From the Center for Magnetic Resonance in Biology and Medicine (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Centre National de la Recherche Scientifique, Aix-Marseille Université, Marseille, France.,Centre d'Exploration Métabolique par Résonance Magnétique (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Assistance Publique-Hopitaux de Marseille, Hôpital Universitaire Timone, Marseille, France.,Department of Neurology (S.D., J.P., B.A.), Centre Hospitalier Universitaire Timone, Assistance Publique-Hopitaux de Marseille, Marseille, France
| | - A Trabelsi
- From the Center for Magnetic Resonance in Biology and Medicine (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Centre National de la Recherche Scientifique, Aix-Marseille Université, Marseille, France.,Centre d'Exploration Métabolique par Résonance Magnétique (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Assistance Publique-Hopitaux de Marseille, Hôpital Universitaire Timone, Marseille, France
| | - J P Ranjeva
- From the Center for Magnetic Resonance in Biology and Medicine (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Centre National de la Recherche Scientifique, Aix-Marseille Université, Marseille, France.,Centre d'Exploration Métabolique par Résonance Magnétique (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Assistance Publique-Hopitaux de Marseille, Hôpital Universitaire Timone, Marseille, France.,Laboratoire de Biomécanique Appliquée, Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Reseaux, Aix-Marseille Université; iLab-Spine International Associated Laboratory (H.R., J.P.R., V.C.), Marseille-Montreal, France-Canada
| | - O Girard
- From the Center for Magnetic Resonance in Biology and Medicine (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Centre National de la Recherche Scientifique, Aix-Marseille Université, Marseille, France.,Centre d'Exploration Métabolique par Résonance Magnétique (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Assistance Publique-Hopitaux de Marseille, Hôpital Universitaire Timone, Marseille, France
| | - G Duhamel
- From the Center for Magnetic Resonance in Biology and Medicine (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Centre National de la Recherche Scientifique, Aix-Marseille Université, Marseille, France.,Centre d'Exploration Métabolique par Résonance Magnétique (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Assistance Publique-Hopitaux de Marseille, Hôpital Universitaire Timone, Marseille, France
| | - M Guye
- From the Center for Magnetic Resonance in Biology and Medicine (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Centre National de la Recherche Scientifique, Aix-Marseille Université, Marseille, France.,Centre d'Exploration Métabolique par Résonance Magnétique (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Assistance Publique-Hopitaux de Marseille, Hôpital Universitaire Timone, Marseille, France
| | - J Pelletier
- From the Center for Magnetic Resonance in Biology and Medicine (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Centre National de la Recherche Scientifique, Aix-Marseille Université, Marseille, France.,Centre d'Exploration Métabolique par Résonance Magnétique (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Assistance Publique-Hopitaux de Marseille, Hôpital Universitaire Timone, Marseille, France.,Department of Neurology (S.D., J.P., B.A.), Centre Hospitalier Universitaire Timone, Assistance Publique-Hopitaux de Marseille, Marseille, France
| | - B Audoin
- From the Center for Magnetic Resonance in Biology and Medicine (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Centre National de la Recherche Scientifique, Aix-Marseille Université, Marseille, France.,Centre d'Exploration Métabolique par Résonance Magnétique (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Assistance Publique-Hopitaux de Marseille, Hôpital Universitaire Timone, Marseille, France.,Department of Neurology (S.D., J.P., B.A.), Centre Hospitalier Universitaire Timone, Assistance Publique-Hopitaux de Marseille, Marseille, France
| | - V Callot
- From the Center for Magnetic Resonance in Biology and Medicine (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Centre National de la Recherche Scientifique, Aix-Marseille Université, Marseille, France .,Centre d'Exploration Métabolique par Résonance Magnétique (H.R., S.D., A.T., J.P.R., O.G., G.D., M.G., J.P., B.A., V.C.), Assistance Publique-Hopitaux de Marseille, Hôpital Universitaire Timone, Marseille, France.,Laboratoire de Biomécanique Appliquée, Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Reseaux, Aix-Marseille Université; iLab-Spine International Associated Laboratory (H.R., J.P.R., V.C.), Marseille-Montreal, France-Canada
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16
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Fritz NE, Edwards EM, Keller J, Eloyan A, Calabresi PA, Zackowski KM. Combining Magnetization Transfer Ratio MRI and Quantitative Measures of Walking Improves the Identification of Fallers in MS. Brain Sci 2020; 10:E822. [PMID: 33171942 PMCID: PMC7694635 DOI: 10.3390/brainsci10110822] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2020] [Revised: 10/27/2020] [Accepted: 11/04/2020] [Indexed: 12/22/2022] Open
Abstract
Multiple sclerosis (MS) impacts balance and walking function, resulting in accidental falls. History of falls and clinical assessment are commonly used for fall prediction, yet these measures have limited predictive validity. Falls are multifactorial; consideration of disease-specific pathology may be critical for improving fall prediction in MS. The objective of this study was to examine the predictive value of clinical measures (i.e., walking, strength, sensation) and corticospinal tract (CST) MRI measures, both discretely and combined, to fall status in MS. Twenty-nine individuals with relapsing-remitting MS (mean ± SD age: 48.7 ± 11.5 years; 17 females; Expanded Disability Status Scale (EDSS): 4.0 (range 1-6.5); symptom duration: 11.9 ± 8.7 years; 14 fallers) participated in a 3T brain MRI including diffusion tensor imaging and magnetization transfer ratio (MTR) and clinical tests of walking, strength, sensation and falls history. Clinical measures of walking were significantly associated with CST fractional anisotropy and MTR. A model including CST MTR, walk velocity and vibration sensation explained >31% of the variance in fall status (R2 = 0.3181) and accurately distinguished 73.8% fallers, which was superior to stand-alone models that included only MRI or clinical measures. This study advances the field by combining clinical and MRI measures to improve fall prediction accuracy in MS.
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Affiliation(s)
- Nora E. Fritz
- Center for Movement Studies, Kennedy Krieger Institute, Baltimore, MD 21205, USA; (J.K.); (K.M.Z.)
- Department of Physical Medicine and Rehabilitation, Johns Hopkins School of Medicine, Baltimore, MD 21224, USA
- Program in Physical Therapy and Department of Neurology, Wayne State University, Detroit, MI 48201, USA
- Translational Neuroscience Program, Wayne State University, Detroit, MI 48201, USA;
| | - Erin M. Edwards
- Translational Neuroscience Program, Wayne State University, Detroit, MI 48201, USA;
| | - Jennifer Keller
- Center for Movement Studies, Kennedy Krieger Institute, Baltimore, MD 21205, USA; (J.K.); (K.M.Z.)
| | - Ani Eloyan
- Department of Biostatistics, Brown University, Providence, RI 02912, USA;
| | - Peter A. Calabresi
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD 21224, USA;
| | - Kathleen M. Zackowski
- Center for Movement Studies, Kennedy Krieger Institute, Baltimore, MD 21205, USA; (J.K.); (K.M.Z.)
- Department of Physical Medicine and Rehabilitation, Johns Hopkins School of Medicine, Baltimore, MD 21224, USA
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD 21224, USA;
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17
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Zhu Y, Huang M, Zhao Y, Pei Y, Wang Y, Wang L, He T, Zhou F, Zeng X. Local functional connectivity of patients with acute and remitting multiple sclerosis: A Kendall's coefficient of concordance- and coherence-regional homogeneity study. Medicine (Baltimore) 2020; 99:e22860. [PMID: 33120824 PMCID: PMC7581181 DOI: 10.1097/md.0000000000022860] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Revised: 09/15/2020] [Accepted: 09/24/2020] [Indexed: 02/03/2023] Open
Abstract
Using Kendall's coefficient of concordance (KCC-) and Coherence (Cohe-) regional homogeneity (ReHo) to explore the alterations of brain local functional connectivity in acute and remitting relapsing-remitting multiple sclerosis (RRMS), and its clinical relevance.18 acute RRMS, 26 remitting RRMS and 20 healthy controls received resting-state functional magnetic resonance imaging scanning. After data preprocessing and ReHo (KCC-ReHo and Cohe-ReHo) calculation, analysis of variance and followed post hoc analysis was used to compare the KCC-ReHo or Cohe ReHo maps across groups.After analysis of variance analysis, regions with significant among-group differences detected by the 2 ReHo analysis were overlapped, these overlapped regions located in the left superior frontal gyrus (SFG), right SFG, left cuneus and right middle occipital gyrus (P < .01, Gaussian random field theory correction). Followed post hoc tests showed that, compared with healthy controls,Both acute and remitting RRMS patients has disease-related brain dysfunction, interestingly, relative to remitting RRMS, the acute RRMS patients mobilized more brain regions involving visual information processing in an attempt to maintain functional stability. In addition, our results also provide a methodological consideration for future ReHo analysis.
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Affiliation(s)
- Yanyan Zhu
- Department of Radiology, The First Affiliated Hospital, Nanchang University
- Neuroimaging Lab, Jiangxi Province Medical Imaging Research Institute, Nanchang, Jiangxi, People's Republic of China
| | - Muhua Huang
- Department of Radiology, The First Affiliated Hospital, Nanchang University
- Neuroimaging Lab, Jiangxi Province Medical Imaging Research Institute, Nanchang, Jiangxi, People's Republic of China
| | - Yanlin Zhao
- Department of Radiology, The First Affiliated Hospital, Nanchang University
- Neuroimaging Lab, Jiangxi Province Medical Imaging Research Institute, Nanchang, Jiangxi, People's Republic of China
| | - Yixiu Pei
- Department of Radiology, The First Affiliated Hospital, Nanchang University
- Neuroimaging Lab, Jiangxi Province Medical Imaging Research Institute, Nanchang, Jiangxi, People's Republic of China
| | - Yao Wang
- Department of Radiology, The First Affiliated Hospital, Nanchang University
- Neuroimaging Lab, Jiangxi Province Medical Imaging Research Institute, Nanchang, Jiangxi, People's Republic of China
| | - Lei Wang
- Department of Radiology, The First Affiliated Hospital, Nanchang University
- Neuroimaging Lab, Jiangxi Province Medical Imaging Research Institute, Nanchang, Jiangxi, People's Republic of China
| | - Ting He
- Department of Radiology, The First Affiliated Hospital, Nanchang University
- Neuroimaging Lab, Jiangxi Province Medical Imaging Research Institute, Nanchang, Jiangxi, People's Republic of China
| | - Fuqing Zhou
- Department of Radiology, The First Affiliated Hospital, Nanchang University
- Neuroimaging Lab, Jiangxi Province Medical Imaging Research Institute, Nanchang, Jiangxi, People's Republic of China
| | - Xianjun Zeng
- Department of Radiology, The First Affiliated Hospital, Nanchang University
- Neuroimaging Lab, Jiangxi Province Medical Imaging Research Institute, Nanchang, Jiangxi, People's Republic of China
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18
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Magnetization Transfer Ratio and Morphometrics of the Spinal Cord Associates with Surgical Recovery in Patients with Degenerative Cervical Myelopathy. World Neurosurg 2020; 144:e939-e947. [PMID: 33010502 DOI: 10.1016/j.wneu.2020.09.148] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 09/23/2020] [Accepted: 09/24/2020] [Indexed: 11/21/2022]
Abstract
OBJECTIVES We assessed the prognostic value of the preoperative magnetization transfer ratio (MTR) and morphometrics of the spinal cord in patients with degenerative cervical myelopathy (DCM) in a longitudinal cohort study. METHODS Thirteen subjects with DCM underwent 3T magnetization transfer imaging. The MTR was calculated for the spinal cord regions and specific white matter tracts. Morphometric measures were extracted. Clinical (modified Japanese Orthopaedics Association [mJOA] and Nurick scale scores) and health-related quality of life scores were assessed before and after cervical decompression surgery. The association between the magnetic resonance imaging (MRI) metrics and postoperative recovery was assessed (Spearman's correlation). Receiver operating characteristics were used to assess the accuracy of MRI metrics in identifying ≥50% recovery in function. RESULTS Preoperative anterior cord MTRs were associated with recovery in mJOA scores (ρ = 0.608; P = 0.036; area under the curve [AUC], 0.66). Preoperative lateral cord MTR correlated with the neck disability index (ρ = 0.699; P = 0.011) and pain interference scale (ρ = 0.732; P = 0.007). Preoperative rubrospinal tract MTR was associated with mJOA score recovery (ρ = 0.573; P = 0.041; AUC, 0.86). Preoperative corticospinal tract and reticulospinal MTRs were related to recovery in pain interference scores (ρ = 0.591; P = 0.033; and ρ = 0.583; P = 0.035, respectively). Eccentricity of the cord was associated with Nurick scores (ρ = 0.606; P = 0.028) and mJOA scores (ρ = 0.651; P = 0.025; AUC, 0.92). CONCLUSIONS Preoperative MTR and eccentricity measurements of the spinal cord have prognostic value in assessing the response to surgery and recovery in patients with DCM. Advanced MRI and atlas-based postprocessing techniques can inform interventions and advance the healthcare received by patients with DCM.
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Ruggieri S, Bharti K, Prosperini L, Giannì C, Petsas N, Tommasin S, Giglio LD, Pozzilli C, Pantano P. A Comprehensive Approach to Disentangle the Effect of Cerebellar Damage on Physical Disability in Multiple Sclerosis. Front Neurol 2020; 11:529. [PMID: 32695059 PMCID: PMC7338682 DOI: 10.3389/fneur.2020.00529] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Accepted: 05/13/2020] [Indexed: 12/24/2022] Open
Abstract
Cerebellar damage occurs frequently in multiple sclerosis (MS) patients, with a wide exhibition of symptoms particularly as impairments of balance and gait. Recent studies implementing new postprocessing magnetic resonance imaging (MRI) techniques showed how cerebellar subregional atrophy provides an explanation of disability in MS. The aim of this work was to evaluate the relationship between quantitative measures of physical disability, cerebellar subregional atrophy, and cerebellar peduncle disruption. Forty-nine MS patients and 32 healthy subjects as controls (HS) underwent a 3-Tesla MRI including 3D T1-weighted and diffusion tensor imaging. Patients underwent static posturography to calculate the body's center of pressure (COP) displacement, Expanded Disability Status Scale (EDSS), and 25-ft walking test (25-FWT). Cerebellar lobular volumes were automatically calculated using the Spatially Unbiased Infratentorial Toolbox. Tract-based spatial statistics (TBSS) in FSL was used to process diffusion tensor imaging (DTI) Fit-generated fractional anisotropy (FA) maps to assess structural connectivity of cerebellar peduncles. Stepwise multivariate linear regression analyses were used to explore relationships between variables. Cerebellar volumes (anterior and posterior, as well as lobular volumes from I to X) were significantly lower in patients with MS than HS (p < 0.05). FA in all cerebellar peduncles was lower in MS patients than in HS (p < 0.05). EDSS and 25-FWT showed an association with atrophy of lobule VIIIb (β = −0.37, p < 0.01, and β = −0.45, p < 0.001, respectively) COP measures inversely correlated with volume of lobules I–IV (β = −0.37, p < 0.01, and β = −0.36, p < 0.01). Lower FA in the three cerebellar peduncles of MS patients positively correlated with cerebellar lobular volumes. Our findings show how sensorimotor cerebellum atrophy and disruption of both afferent and efferent cerebellar connections contribute to physical disability in MS patients.
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Affiliation(s)
- Serena Ruggieri
- Department of Human Neurosciences, "Sapienza" Rome University, Rome, Italy.,Department of Neurosciences, San Camillo Forlanini Hospital, Rome, Italy
| | - Komal Bharti
- Department of Human Neurosciences, "Sapienza" Rome University, Rome, Italy
| | - Luca Prosperini
- Department of Neurosciences, San Camillo Forlanini Hospital, Rome, Italy
| | - Costanza Giannì
- Department of Human Neurosciences, "Sapienza" Rome University, Rome, Italy
| | | | - Silvia Tommasin
- Department of Human Neurosciences, "Sapienza" Rome University, Rome, Italy
| | - Laura De Giglio
- Department of Human Neurosciences, "Sapienza" Rome University, Rome, Italy
| | - Carlo Pozzilli
- Department of Human Neurosciences, "Sapienza" Rome University, Rome, Italy
| | - Patrizia Pantano
- Department of Human Neurosciences, "Sapienza" Rome University, Rome, Italy.,Department of Radiology, IRCCS Neuromed, Pozzilli, Italy
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20
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Ten-year disease progression in multiple sclerosis: walking declines more rapidly than arm and hand function. Mult Scler Relat Disord 2020; 45:102343. [PMID: 32674028 DOI: 10.1016/j.msard.2020.102343] [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: 03/17/2020] [Revised: 06/13/2020] [Accepted: 06/21/2020] [Indexed: 11/24/2022]
Abstract
BACKGROUND AND AIMS From a clinical perspective there is a difference in the decline of arm and hand function and leg function in patients with multiple sclerosis (PwMS). Therefore, this study investigated the course of walking and arm and hand functions in PwMS over the first 10 years after diagnosis, including whether any function declined earlier or faster. METHODS A long-term prospective follow-up study of an incidence cohort of 156 patients with a definite diagnosis of MS, either non-relapse onset (n=28) or relapse onset (n=128) type. Participants were systematically examined immediately after definite diagnosis, at 6 months, and at 1, 2, 3, 6 and 10 years. Walking was determined with the fast 10-meter timed walk test (10mTWT), arm and hand function with the Action Research Arm test (ARAT) and the nine-hole peg test (9HPT). The 10-year trajectories of walking and arm and hand functions were compared using standardized z-scores. RESULTS From 3 years onwards the z-scores of the arm and leg function were visually diverging, with a trend towards significance at 6 years, and at 10 years the 10mTWT z-score is significantly higher than the 9HPT. This difference is more pronounced in non-relapse onset patients than in patients with relapse onset type MS, but present in both groups over the first 10 years. In the non-relapse onset group a difference in z-scores at 10 years post-diagnosis between the 10m TWT and 9HPT was found of -12.94 (95% confidence interval (CI) -20.2 to -5.73) for the right and -10.14 (95% CI -17.3 to -2.93) for the left hand. In the relapse onset group there was a difference at 10 years post-diagnosis of -2.17 (95% CI -3.75 to -0.59) for the right and a difference of -2.29 (95% CI -3.87 to -0.71) for the left hand. CONCLUSION This is the first longitudinal study that shows that walking declines earlier and more rapidly than arm and hand function in patients with MS. These results give important insights that can be linked to the pathophysiological disease process regarding the ascending order of deterioration in patients with MS.
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21
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Weller D, Filli L, Meyer C, Lörincz L, Linnebank M, Weller M, Curt A, Zörner B. Impaired speed-dependent modulation of the gait pattern in multiple sclerosis. J Neurol 2020; 267:2998-3007. [PMID: 32500374 DOI: 10.1007/s00415-020-09965-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 05/28/2020] [Accepted: 05/30/2020] [Indexed: 11/26/2022]
Abstract
BACKGROUND Walking dysfunction is common in people with multiple sclerosis (MS). Besides walking speed or endurance, one crucial feature of ambulatory function is the ability to adjust the gait pattern according to walking speed which relies on the integrity of spinal motor centres, their reciprocal connections to supraspinal networks and peripheral sensory input. OBJECTIVE To investigate the capacity of people with MS to modify their gait pattern in response to changes in walking speed. METHODS 3D gait analysis during free treadmill walking was performed in 35 people with MS and 20 healthy controls. Twelve kinematic parameters ranging from basic spatiotemporal measures to complex indicators of intralimb coordination were assessed at different absolute and relative walking speeds. RESULTS Cadence, double-limb support time, trunk movements and especially measures of intralimb coordination demonstrated significantly less speed-dependent modifications in MS than in controls. These limitations were more prominent in subjects with stronger MS-related impairment (worse outcome in clinical walking tests, higher Expanded Disability Status Scale). CONCLUSION The incapacity to modify specific elements of the walking pattern according to walking speed contributes to gait dysfunction in people with MS limiting activities of daily living. Gait modulation may serve as sensitive marker of walking function in MS. TRIAL REGISTRATION Clinicaltrials.gov, NCT01576354; first posted April 12, 2012.
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Affiliation(s)
- David Weller
- Department of Neurology, University Hospital and University of Zurich, Frauenklinikstrasse 26, 8091, Zurich, Switzerland
| | - Linard Filli
- Spinal Cord Injury Center, Balgrist University Hospital, Forchstrasse 340, 8008, Zurich, Switzerland
| | - Christian Meyer
- Spinal Cord Injury Center, Balgrist University Hospital, Forchstrasse 340, 8008, Zurich, Switzerland
| | - Lilla Lörincz
- Department of Neurology, University Hospital and University of Zurich, Frauenklinikstrasse 26, 8091, Zurich, Switzerland
| | - Michael Linnebank
- Department of Neurology, University Witten/Herdecke and Evangelische Kliniken Gelsenkirchen, Munckelstraße 32, 45879, Gelsenkirchen, Germany
| | - Michael Weller
- Department of Neurology, University Hospital and University of Zurich, Frauenklinikstrasse 26, 8091, Zurich, Switzerland
| | - Armin Curt
- Spinal Cord Injury Center, Balgrist University Hospital, Forchstrasse 340, 8008, Zurich, Switzerland
| | - Björn Zörner
- Spinal Cord Injury Center, Balgrist University Hospital, Forchstrasse 340, 8008, Zurich, Switzerland.
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22
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Arpan I, Fling B, Powers K, Horak FB, Spain RI. Structural Neural Correlates of Impaired Postural Control in People with Secondary Progressive Multiple Sclerosis. Int J MS Care 2020; 22:123-128. [PMID: 32607074 PMCID: PMC7307870 DOI: 10.7224/1537-2073.2019-004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
BACKGROUND Secondary progressive multiple sclerosis (SPMS) is characterized by worsening of postural control and brain atrophy. However, little is known about postural deficits and their neuroanatomical correlates in this population. We aimed to determine the neuroanatomical correlates of postural deficits in people with SPMS and whether posture control deteriorates concomitantly with the brain and spinal cord atrophy in 2 years in SPMS. METHODS This study is a post hoc analysis of data from 27 people with SPMS (mean ± SE age, 58.6 ± 1.1 years). Participants had magnetic resonance imaging (MRI) of the brain and cervical spinal cord followed by sway testing using inertial sensors during standing with eyes open (EO) and eyes closed without (EC) and with (ECC) a cognitive task. Partial correlations investigated relationships between postural control and MRI measures at baseline and 2 years. RESULTS At baseline, sway measures were inversely related to cortical thickness and cord cross-sectional area (CSA) during the EO task but only to cord CSA with EC (P < .05). After 2 years, the percentage change in sway amplitude and dispersion during EO tasks significantly related to the percentage decline in cord CSA (P < .01). CONCLUSIONS Cortical and spinal cord inputs are essential for regulation of postural control during standing with EO in SPMS. Without visual input, people with SPMS preferentially rely on somatosensory inputs from the spinal cord for maintaining postural control. Postural deficits related to cord atrophy over 2 years, suggesting that postural control may be a surrogate marker of disease progression in people with SPMS.
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23
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Petracca M, Schiavi S, Battocchio M, El Mendili MM, Fleysher L, Daducci A, Inglese M. Streamline density and lesion volume reveal a postero–anterior gradient of corpus callosum damage in multiple sclerosis. Eur J Neurol 2020; 27:1076-1082. [DOI: 10.1111/ene.14214] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2019] [Revised: 12/26/2019] [Accepted: 02/14/2020] [Indexed: 11/29/2022]
Affiliation(s)
- M. Petracca
- Department of Neurology Icahn School of Medicine at Mount Sinai New York NY USA
| | - S. Schiavi
- Department of Computer Science University of Verona Verona Italy
- Department of Neurosciences, Rehabilitation, Ophthalmology Genetics, Maternal and Child Health and Center of Excellence for Biomedical Research University of Genoa Genoa Italy
| | - M. Battocchio
- Department of Computer Science University of Verona Verona Italy
| | - M. M. El Mendili
- Department of Neurology Icahn School of Medicine at Mount Sinai New York NY USA
| | - L. Fleysher
- Department of Radiology Icahn School of Medicine at Mount Sinai New York NY USA
| | - A. Daducci
- Department of Computer Science University of Verona Verona Italy
| | - M. Inglese
- Department of Neurology Icahn School of Medicine at Mount Sinai New York NY USA
- Department of Neurosciences, Rehabilitation, Ophthalmology Genetics, Maternal and Child Health and Center of Excellence for Biomedical Research University of Genoa Genoa Italy
- Ospedale Policlinico San Martino – IRCCS Genoa Italy
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24
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Rocca MA, Preziosa P, Filippi M. What role should spinal cord MRI take in the future of multiple sclerosis surveillance? Expert Rev Neurother 2020; 20:783-797. [PMID: 32133874 DOI: 10.1080/14737175.2020.1739524] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
INTRODUCTION In multiple sclerosis (MS), inflammatory, demyelinating, and neurodegenerative phenomena affect the spinal cord, with detrimental effects on patients' clinical disability. Although spinal cord imaging may be challenging, improvements in MRI technologies have contributed to better evaluate spinal cord involvement in MS. AREAS COVERED This review summarizes the current state-of-art of the application of conventional and advanced MRI techniques to evaluate spinal cord damage in MS. Typical features of spinal cord lesions, their role in the diagnostic work-up of suspected MS, their predictive role for subsequent disease course and clinical worsening, and their utility to define treatment response are discussed. The role of spinal cord atrophy and of other advanced MRI techniques to better evaluate the associations between spinal cord abnormalities and the accumulation of clinical disability are also evaluated. Finally, how spinal cord assessment could evolve in the future to improve monitoring of disease progression and treatment effects is examined. EXPERT OPINION Spinal cord MRI provides relevant additional information to brain MRI in understanding MS pathophysiology, in allowing an earlier and more accurate diagnosis of MS, and in identifying MS patients at higher risk to develop more severe disability. A future role in monitoring the effects of treatments is also foreseen.
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Affiliation(s)
- Maria A Rocca
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute , Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute , Milan, Italy
| | - Paolo Preziosa
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute , Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute , Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute , Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute , Milan, Italy.,Neurophysiology Unit, IRCCS San Raffaele Scientific Institute , Milan, Italy.,Vita-Salute San Raffaele University , Milan, Italy
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25
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Zarkou A, Lee SCK, Prosser LA, Jeka JJ. Foot and Ankle Somatosensory Deficits Affect Balance and Motor Function in Children With Cerebral Palsy. Front Hum Neurosci 2020; 14:45. [PMID: 32161527 PMCID: PMC7054234 DOI: 10.3389/fnhum.2020.00045] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Accepted: 01/31/2020] [Indexed: 01/03/2023] Open
Abstract
Sensory dysfunction is prevalent in cerebral palsy (CP). Evidence suggests that sensory deficits can contribute to manual ability impairments in children with CP, yet it is still unclear how they contribute to balance and motor performance. Therefore, the objective of this study was to investigate the relationship between lower extremity (LE) somatosensation and functional performance in children with CP. Ten participants with spastic diplegia (Gross Motor Function Classification Scale: I-III) and who were able to stand independently completed the study. Threshold of light touch pressure, two-point discriminatory ability of the plantar side of the foot, duration of cutaneous vibration sensation, and error in the joint position sense of the ankle were assessed to quantify somatosensory function. The balance was tested by the Balance Evaluation System Test (BESTest) and postural sway measures during a standing task. Motor performance was evaluated by using a battery of clinical assessments: (1) Gross Motor Function Measure (GMFM-66-IS) to test gross motor ability; (2) spatiotemporal gait characteristics (velocity, step length) to evaluate walking ability; (3) Timed Up and Go (TUG) and 6 Min Walk (6MWT) tests to assess functional mobility; and (4) an isokinetic dynamometer was used to test the Maximum Volitional Isometric Contraction (MVIC) of the plantar flexor muscles. The results showed that the light touch pressure measure was strongly associated only with the 6MWT. Vibration and two-point discrimination were strongly related to balance performance. Further, the vibration sensation of the first metatarsal head demonstrated a significantly strong relationship with motor performance as measured by GMFM-66-IS, spatiotemporal gait parameters, TUG, and ankle plantar flexors strength test. The joint position sense of the ankle was only related to one subdomain of the BESTest (Postural Responses). This study provides preliminary evidence that LE sensory deficits can possibly contribute to the pronounced balance and motor impairments in CP. The findings emphasize the importance of developing a thorough LE sensory test battery that can guide traditional treatment protocols toward a more holistic therapeutic approach by combining both motor and sensory rehabilitative strategies to improve motor function in CP.
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Affiliation(s)
- Anastasia Zarkou
- Spinal Cord Injury Research Laboratory, Crawford Research Institute, Shepherd Center, Atlanta, GA, United States
| | - Samuel C K Lee
- Department of Physical Therapy and Interdisciplinary Graduate Program in Biomechanics and Movement Science, University of Delaware, Newark, DE, United States.,Research Department, Shriners Hospital for Children, Philadelphia, PA, United States
| | - Laura A Prosser
- Department of Pediatrics, University of Pennsylvania & The Children's Hospital of Philadelphia, Philadelphia, PA, United States
| | - John J Jeka
- Department of Kinesiology and Applied Physiology, University of Delaware, Newark, DE, United States
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26
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Eden D, Gros C, Badji A, Dupont SM, De Leener B, Maranzano J, Zhuoquiong R, Liu Y, Granberg T, Ouellette R, Stawiarz L, Hillert J, Talbott J, Bannier E, Kerbrat A, Edan G, Labauge P, Callot V, Pelletier J, Audoin B, Rasoanandrianina H, Brisset JC, Valsasina P, Rocca MA, Filippi M, Bakshi R, Tauhid S, Prados F, Yiannakas M, Kearney H, Ciccarelli O, Smith SA, Andrada Treaba C, Mainero C, Lefeuvre J, Reich DS, Nair G, Shepherd TM, Charlson E, Tachibana Y, Hori M, Kamiya K, Chougar L, Narayanan S, Cohen-Adad J. Spatial distribution of multiple sclerosis lesions in the cervical spinal cord. Brain 2020; 142:633-646. [PMID: 30715195 DOI: 10.1093/brain/awy352] [Citation(s) in RCA: 70] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2018] [Revised: 10/25/2018] [Accepted: 11/20/2018] [Indexed: 12/12/2022] Open
Abstract
Spinal cord lesions detected on MRI hold important diagnostic and prognostic value for multiple sclerosis. Previous attempts to correlate lesion burden with clinical status have had limited success, however, suggesting that lesion location may be a contributor. Our aim was to explore the spatial distribution of multiple sclerosis lesions in the cervical spinal cord, with respect to clinical status. We included 642 suspected or confirmed multiple sclerosis patients (31 clinically isolated syndrome, and 416 relapsing-remitting, 84 secondary progressive, and 73 primary progressive multiple sclerosis) from 13 clinical sites. Cervical spine lesions were manually delineated on T2- and T2*-weighted axial and sagittal MRI scans acquired at 3 or 7 T. With an automatic publicly-available analysis pipeline we produced voxelwise lesion frequency maps to identify predilection sites in various patient groups characterized by clinical subtype, Expanded Disability Status Scale score and disease duration. We also measured absolute and normalized lesion volumes in several regions of interest using an atlas-based approach, and evaluated differences within and between groups. The lateral funiculi were more frequently affected by lesions in progressive subtypes than in relapsing in voxelwise analysis (P < 0.001), which was further confirmed by absolute and normalized lesion volumes (P < 0.01). The central cord area was more often affected by lesions in primary progressive than relapse-remitting patients (P < 0.001). Between white and grey matter, the absolute lesion volume in the white matter was greater than in the grey matter in all phenotypes (P < 0.001); however when normalizing by each region, normalized lesion volumes were comparable between white and grey matter in primary progressive patients. Lesions appearing in the lateral funiculi and central cord area were significantly correlated with Expanded Disability Status Scale score (P < 0.001). High lesion frequencies were observed in patients with a more aggressive disease course, rather than long disease duration. Lesions located in the lateral funiculi and central cord area of the cervical spine may influence clinical status in multiple sclerosis. This work shows the added value of cervical spine lesions, and provides an avenue for evaluating the distribution of spinal cord lesions in various patient groups.
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Affiliation(s)
- Dominique Eden
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada
| | - Charley Gros
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada
| | - Atef Badji
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada.,Department of Neuroscience, Faculty of Medicine, University of Montreal, Montreal, QC, Canada
| | - Sara M Dupont
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada.,Department of Radiology and Biomedical Imaging, Zuckerberg San Francisco General Hospital, University of California, San Francisco, CA, USA
| | - Benjamin De Leener
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada
| | - Josefina Maranzano
- McConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, Canada.,Department of Anatomy, Université de Québec à Trois-Rivières, Trois-Rivières, QC, Canada
| | - Ren Zhuoquiong
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, P. R. China
| | - Yaou Liu
- Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, P. R. China.,Department of Radiology, Beijing Tiantan Hospital, Capital Medical University, Beijing, P. R. China
| | - Tobias Granberg
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.,Massachusetts General Hospital, Boston, USA
| | - Russell Ouellette
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.,Massachusetts General Hospital, Boston, USA
| | - Leszek Stawiarz
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Jan Hillert
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Jason Talbott
- Department of Radiology and Biomedical Imaging, Zuckerberg San Francisco General Hospital, University of California, San Francisco, CA, USA
| | - Elise Bannier
- CHU Rennes, Radiology Department, Rennes, France.,Univ Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, EMPENN - ERL U 1228, Rennes, France
| | - Anne Kerbrat
- Univ Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, EMPENN - ERL U 1228, Rennes, France.,CHU Rennes, Neurology Department, Rennes, France
| | - Gilles Edan
- Univ Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, EMPENN - ERL U 1228, Rennes, France.,CHU Rennes, Neurology Department, Rennes, France
| | - Pierre Labauge
- MS Unit, Department of Neurology, University Hospital of Montpellier, Montpellier, France
| | - Virginie Callot
- Aix Marseille University, CNRS, CRMBM, Marseille, France.,APHM, CHU Timone, CEMEREM, Marseille, France
| | - Jean Pelletier
- APHM, CHU Timone, CEMEREM, Marseille, France.,APHM, Department of Neurology, CHU Timone, APHM, Marseille
| | - Bertrand Audoin
- APHM, CHU Timone, CEMEREM, Marseille, France.,APHM, Department of Neurology, CHU Timone, APHM, Marseille
| | - Henitsoa Rasoanandrianina
- Aix Marseille University, CNRS, CRMBM, Marseille, France.,APHM, CHU Timone, CEMEREM, Marseille, France
| | - Jean-Christophe Brisset
- Observatoire Français de la Sclérose en Plaques (OFSEP) ; Université de Lyon, Université Claude Bernard Lyon 1; Hospices Civils de Lyon; CREATIS-LRMN, UMR 5220 CNRS and U 1044 INSERM; Lyon, France
| | - Paola Valsasina
- Neuroimaging Research Unit, INSPE, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Maria A Rocca
- Neuroimaging Research Unit, INSPE, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, INSPE, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Rohit Bakshi
- Brigham and Women's Hospital, Harvard Medical School, Boston, USA
| | - Shahamat Tauhid
- Brigham and Women's Hospital, Harvard Medical School, Boston, USA
| | - Ferran Prados
- Queen Square MS Centre, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London,UK.,Center for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | - Marios Yiannakas
- Queen Square MS Centre, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London,UK
| | - Hugh Kearney
- Queen Square MS Centre, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London,UK
| | - Olga Ciccarelli
- Queen Square MS Centre, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London,UK
| | - Seth A Smith
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA
| | | | | | - Jennifer Lefeuvre
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Maryland, USA
| | - Daniel S Reich
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Maryland, USA
| | - Govind Nair
- National Institute of Neurological Disorders and Stroke, National Institutes of Health, Maryland, USA
| | | | - Erik Charlson
- Department of Radiology, NYU Langone Medical Center, New York, USA
| | | | - Masaaki Hori
- Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan
| | - Kouhei Kamiya
- Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan
| | - Lydia Chougar
- Department of Radiology, Juntendo University School of Medicine, Tokyo, Japan.,Hospital Cochin, Paris, France
| | - Sridar Narayanan
- McConnell Brain Imaging Centre, Montreal Neurological Institute, Montreal, Canada
| | - Julien Cohen-Adad
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada.,Department of Neuroscience, Faculty of Medicine, University of Montreal, Montreal, QC, Canada.,Functional Neuroimaging Unit, CRIUGM, Université de Montréal, Montreal, QC, Canada
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27
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Enoka RM, Amiridis IG, Duchateau J. Electrical Stimulation of Muscle: Electrophysiology and Rehabilitation. Physiology (Bethesda) 2020; 35:40-56. [DOI: 10.1152/physiol.00015.2019] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
The generation of action potentials in intramuscular motor and sensory axons in response to an imposed external current source can evoke muscle contractions and elicit widespread responses throughout the nervous system that impact sensorimotor function. The benefits experienced by individuals exposed to several weeks of treatment with electrical stimulation of muscle suggest that the underlying adaptations involve several physiological systems, but little is known about the specific changes elicited by such interventions.
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Affiliation(s)
- Roger M. Enoka
- Department of Integrative Physiology, University of Colorado Boulder, Colorado
| | - Ioannis G. Amiridis
- Department of Physical Education and Sport Sciences at Serres, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Jacques Duchateau
- Laboratory of Applied Biology and Neurophysiology, ULB Neuroscience Institute, Université Libre de Bruxelles, Brussels, Belgium
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28
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Chuhutin A, Hansen B, Wlodarczyk A, Owens T, Shemesh N, Jespersen SN. Diffusion Kurtosis Imaging maps neural damage in the EAE model of multiple sclerosis. Neuroimage 2019; 208:116406. [PMID: 31830588 PMCID: PMC9358435 DOI: 10.1016/j.neuroimage.2019.116406] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2019] [Revised: 11/20/2019] [Accepted: 11/25/2019] [Indexed: 01/22/2023] Open
Abstract
Diffusion kurtosis imaging (DKI) is an imaging modality that yields novel
disease biomarkers and in combination with nervous tissue modeling, provides
access to microstructural parameters. Recently, DKI and subsequent estimation of
microstructural model parameters has been used for assessment of tissue changes
in neurodegenerative diseases and associated animal models. In this study, mouse
spinal cords from the experimental autoimmune encephalomyelitis (EAE) model of
multiple sclerosis (MS) were investigated for the first time using DKI in
combination with biophysical modeling to study the relationship between
microstructural metrics and degree of animal dysfunction. Thirteen spinal cords
were extracted from animals with varied grades of disability and scanned in a
high-field MRI scanner along with five control specimen. Diffusion weighted data
were acquired together with high resolution T2*
images. Diffusion data were fit to estimate diffusion and kurtosis tensors and
white matter modeling parameters, which were all used for subsequent statistical
analysis using a linear mixed effects model. T2*
images were used to delineate focal demyelination/inflammation. Our results
reveal a strong relationship between disability and measured microstructural
parameters in normal appearing white matter and gray matter. Relationships
between disability and mean of the kurtosis tensor, radial kurtosis, radial
diffusivity were similar to what has been found in other hypomyelinating MS
models, and in patients. However, the changes in biophysical modeling parameters
and in particular in extra-axonal axial diffusivity were clearly different from
previous studies employing other animal models of MS. In conclusion, our data
suggest that DKI and microstructural modeling can provide a unique contrast
capable of detecting EAE-specific changes correlating with clinical
disability.
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Affiliation(s)
| | | | - Agnieszka Wlodarczyk
- Department of Neurobiology Research, Institute for Molecular Medicine,University of South Denmark, Odense, Denmark
| | - Trevor Owens
- Department of Neurobiology Research, Institute for Molecular Medicine,University of South Denmark, Odense, Denmark
| | - Noam Shemesh
- Champalimaud Research, Champalimaud Centre for the Unknown, Lisbon, Portugal
| | - Sune Nørhøj Jespersen
- CFIN, Aarhus University, Aarhus, Denmark; Department of Physics, Aarhus University, Aarhus, Denmark
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29
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Exercise as Medicine in Multiple Sclerosis—Time for a Paradigm Shift: Preventive, Symptomatic, and Disease-Modifying Aspects and Perspectives. Curr Neurol Neurosci Rep 2019; 19:88. [DOI: 10.1007/s11910-019-1002-3] [Citation(s) in RCA: 92] [Impact Index Per Article: 18.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
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30
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Capone F, Capone G, Motolese F, Voci A, Caminiti ML, Musumeci G, Di Lazzaro V. Spinal cord dysfunction contributes to balance impairment in multiple sclerosis patients. Clin Neurol Neurosurg 2019; 184:105451. [DOI: 10.1016/j.clineuro.2019.105451] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2019] [Revised: 07/01/2019] [Accepted: 07/17/2019] [Indexed: 10/26/2022]
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31
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Sechi E, Keegan BM, Kaufmann TJ, Kantarci OH, Weinshenker BG, Flanagan EP. Unilateral motor progression in MS: Association with a critical corticospinal tract lesion. Neurology 2019; 93:e628-e634. [PMID: 31289142 DOI: 10.1212/wnl.0000000000007944] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2018] [Accepted: 04/03/2019] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE Progressive motor impairment anatomically attributable to a single critical demyelinating lesion on eloquent corticospinal tract locations occurs in progressive solitary sclerosis and in some patients with multiple sclerosis (MS) with highly restricted CNS lesion burden (2-5 lesions). We determined whether a similar critical lesion is found in patients with MS with unilateral motor progression and unlimited lesion burden. METHODS In this observational study, we retrospectively identified Mayo Clinic patients (January 1, 1996-December 31, 2017) with an MS diagnosis (2017 McDonald criteria), ≥1 year of exclusively unilateral motor progression, and >5 demyelinating lesions on MRI. A blinded neuroradiologist identified a single critical lesion (last available MRI) based on prominent size, atrophy, and eloquent corticospinal tract location (spinal cord lateral columns, medullary pyramids, cerebral peduncles, internal capsules). We then determined whether the motor impairment was anatomically attributable to the identified lesion. RESULTS Thirty-eight patients with MS were included: 20 (53%) with primary progressive MS and 18 (47%) with secondary progressive MS. Median age at progression onset was 54 (range 39-73) years. Median Expanded Disability Status Scale score was 5 (range 2.5-7.5) at the last follow-up (median 132.5 months from symptom onset, range 23-390 months). A single critical lesion was identified in 25 of 38 cases (66%): 19 in the cervical cord and 6 in the thoracic cord. In the remaining patients, >1 potential critical lesions were present. The overall probability to detect demyelinating lesions was higher along the corticospinal tract where the motor deficit localized (38 of 38 [100%]) than on the contralateral side (15 of 38 [39%]) (p < 0.0001). CONCLUSIONS In patients with MS with unilateral motor progression, the motor deficit may be attributable to a single critical corticospinal tract lesion.
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Affiliation(s)
- Elia Sechi
- From the Department of Neurology (E.S., B.M.K., O.H.K., B.G.W., E.P.F.), Department of Radiology, Division of Neuroradiology (T.J.K.), and Department of Laboratory Medicine and Pathology (E.P.F.), Mayo Clinic College of Medicine, Rochester, MN
| | - B Mark Keegan
- From the Department of Neurology (E.S., B.M.K., O.H.K., B.G.W., E.P.F.), Department of Radiology, Division of Neuroradiology (T.J.K.), and Department of Laboratory Medicine and Pathology (E.P.F.), Mayo Clinic College of Medicine, Rochester, MN.
| | - Timothy J Kaufmann
- From the Department of Neurology (E.S., B.M.K., O.H.K., B.G.W., E.P.F.), Department of Radiology, Division of Neuroradiology (T.J.K.), and Department of Laboratory Medicine and Pathology (E.P.F.), Mayo Clinic College of Medicine, Rochester, MN
| | - Orhun H Kantarci
- From the Department of Neurology (E.S., B.M.K., O.H.K., B.G.W., E.P.F.), Department of Radiology, Division of Neuroradiology (T.J.K.), and Department of Laboratory Medicine and Pathology (E.P.F.), Mayo Clinic College of Medicine, Rochester, MN
| | - Brian G Weinshenker
- From the Department of Neurology (E.S., B.M.K., O.H.K., B.G.W., E.P.F.), Department of Radiology, Division of Neuroradiology (T.J.K.), and Department of Laboratory Medicine and Pathology (E.P.F.), Mayo Clinic College of Medicine, Rochester, MN
| | - Eoin P Flanagan
- From the Department of Neurology (E.S., B.M.K., O.H.K., B.G.W., E.P.F.), Department of Radiology, Division of Neuroradiology (T.J.K.), and Department of Laboratory Medicine and Pathology (E.P.F.), Mayo Clinic College of Medicine, Rochester, MN.
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32
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Chouteau R, Combès B, Bannier E, Snoussi H, Ferré JC, Barillot C, Edan G, Sauleau P, Kerbrat A. Joint assessment of brain and spinal cord motor tract damage in patients with early RRMS: predominant impact of spinal cord lesions on motor function. J Neurol 2019; 266:2294-2303. [PMID: 31175433 DOI: 10.1007/s00415-019-09419-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2019] [Revised: 05/30/2019] [Accepted: 06/01/2019] [Indexed: 10/26/2022]
Abstract
BACKGROUND In patients with MS, the effect of structural damage to the corticospinal tract (CST) has been separately evaluated in the brain and spinal cord (SC), even though a cumulative impact is suspected. OBJECTIVE To evaluate CST damages on both the cortex and cervical SC, and examine their relative associations with motor function, measured both clinically and by electrophysiology. METHODS We included 43 patients with early relapsing-remitting MS. Lesions were manually segmented on SC (axial T2*) and brain (3D FLAIR) scans. The CST was automatically segmented using an atlas (SC) or tractography (brain). Lesion volume fractions and diffusion parameters were calculated for SC, brain and CST. Central motor conduction time (CMCT) and triple stimulation technique amplitude ratio were measured for 42 upper limbs, from 22 patients. RESULTS Mean lesion volume fractions were 5.2% in the SC portion of the CST and 0.9% in the brain portion. We did not find a significant correlation between brain and SC lesion volume fraction (r = 0.06, p = 0.68). The pyramidal EDSS score and CMCT were both significantly correlated with the lesion fraction in the SC CST (r = 0.39, p = 0.01 and r = 0.33, p = 0.03), but not in the brain CST. CONCLUSION Our results highlight the major contribution of SC lesions to CST damage and motor function abnormalities.
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Affiliation(s)
- Raphaël Chouteau
- Neurology Department, CHU Rennes, Rennes, France.,Univ Rennes, CHU Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, VISAGES (Vision, Action Et Gestion Des Informations en santé), ERL U 1228, 35000, Rennes, France
| | - Benoit Combès
- Univ Rennes, CHU Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, VISAGES (Vision, Action Et Gestion Des Informations en santé), ERL U 1228, 35000, Rennes, France
| | - Elise Bannier
- Univ Rennes, CHU Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, VISAGES (Vision, Action Et Gestion Des Informations en santé), ERL U 1228, 35000, Rennes, France.,Radiology Department, CHU Rennes, Rennes, France
| | - Haykel Snoussi
- Univ Rennes, CHU Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, VISAGES (Vision, Action Et Gestion Des Informations en santé), ERL U 1228, 35000, Rennes, France
| | - Jean-Christophe Ferré
- Univ Rennes, CHU Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, VISAGES (Vision, Action Et Gestion Des Informations en santé), ERL U 1228, 35000, Rennes, France.,Radiology Department, CHU Rennes, Rennes, France
| | - Christian Barillot
- Univ Rennes, CHU Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, VISAGES (Vision, Action Et Gestion Des Informations en santé), ERL U 1228, 35000, Rennes, France
| | - Gilles Edan
- Neurology Department, CHU Rennes, Rennes, France.,Univ Rennes, CHU Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, VISAGES (Vision, Action Et Gestion Des Informations en santé), ERL U 1228, 35000, Rennes, France.,Plurithematic Clinical Investigation Center (CIC-P 1414), INSERM, Rennes, France
| | - Paul Sauleau
- Neurophysiology Department, CHU Rennes, Rennes, France.,Behavior and Basal Ganglia Research Unit (EA4712), Rennes 1 University, Rennes, France
| | - Anne Kerbrat
- Neurology Department, CHU Rennes, Rennes, France. .,Univ Rennes, CHU Rennes, CNRS, Inria, Inserm, IRISA UMR 6074, VISAGES (Vision, Action Et Gestion Des Informations en santé), ERL U 1228, 35000, Rennes, France.
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33
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Fritz NE, Eloyan A, Glaister J, Dewey BE, Al-Louzi O, Costello MG, Chen M, Prince JL, Calabresi PA, Zackowski KM. Quantitative vibratory sensation measurement is related to sensory cortical thickness in MS. Ann Clin Transl Neurol 2019; 6:586-595. [PMID: 30911581 PMCID: PMC6414478 DOI: 10.1002/acn3.734] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2018] [Revised: 12/20/2018] [Accepted: 01/17/2019] [Indexed: 11/16/2022] Open
Abstract
Objective Vibratory sensation is a quantifiable measure of physical dysfunction and is often related to spinal cord pathology; however, its association with relevant brain areas has not been fully explored. Our objective was to establish a cortical structural substrate for vibration sensation. Methods Eighty‐four individuals with multiple sclerosis (MS) (n = 54 relapsing, n = 30 progressive) and 28 controls participated in vibratory sensation threshold quantification at the great toe and a 3T MRI evaluating volume of the thalamus and cortical thickness primary and secondary sensory cortices. Results After controlling for age, sex, and disability level, vibratory sensation thresholds were significantly related to cortical thickness of the anterior cingulate (P = 0.041), parietal operculum (P = 0.022), and inferior frontal gyrus pars operculum (P = 0.044), pars orbitalis (P = 0.007), and pars triangularis (P = 0.029). Within the progressive disease subtype, there were significant relationships between vibratory sensation and thalamic volume (P = 0.039) as well as reduced inferior frontal gyrus pars operculum (P = 0.014) and pars orbitalis (P = 0.005) cortical thickness. Conclusions The data show significant independent relationships between quantitative vibratory sensation and measures of primary and secondary sensory cortices. Quantitative clinical measurement of vibratory sensation reflects pathological changes in spatially distinct brain areas and may supplement information captured by brain atrophy measures. Without overt relapses, monitoring decline in progressive forms of MS has proved challenging; quantitative clinical assessment may provide a tool to examine pathological decline in this cohort. These data suggest that quantitative clinical assessment may be a reliable way to examine pathological decline and have broader relevance to progressive forms of MS.
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Affiliation(s)
- Nora E Fritz
- Center for Movement Studies Kennedy Krieger Institute Baltimore Maryland.,Department of Physical Medicine and Rehabilitation Johns Hopkins School of Medicine Baltimore Maryland.,Program in Physical Therapy and Department of Neurology Wayne State University Detroit Michigan
| | - Ani Eloyan
- Department of Biostatistics Brown University Providence Rhode Island
| | - Jeffrey Glaister
- Department of Electrical and Computer Engineering Johns Hopkins University Baltimore Maryland
| | - Blake E Dewey
- Department of Electrical and Computer Engineering Johns Hopkins University Baltimore Maryland.,F.M. Kirby Center for Functional Brain Imaging Kennedy Krieger Institute Baltimore Maryland
| | - Omar Al-Louzi
- Department of Neurology Massachusetts General Hospital Brigham and Women's Hospital Harvard Medical School Boston Massachusetts.,Department of Neurology Johns Hopkins School of Medicine Baltimore Maryland
| | - M Gabriela Costello
- Center for Movement Studies Kennedy Krieger Institute Baltimore Maryland.,Department of Physical Medicine and Rehabilitation Johns Hopkins School of Medicine Baltimore Maryland
| | - Min Chen
- Department of Electrical and Computer Engineering Johns Hopkins University Baltimore Maryland.,Department of Radiology University of Pennsylvania Philadelphia Pennsylvania
| | - Jerry L Prince
- Department of Electrical and Computer Engineering Johns Hopkins University Baltimore Maryland
| | - Peter A Calabresi
- Department of Neurology Johns Hopkins School of Medicine Baltimore Maryland
| | - Kathleen M Zackowski
- Center for Movement Studies Kennedy Krieger Institute Baltimore Maryland.,Department of Physical Medicine and Rehabilitation Johns Hopkins School of Medicine Baltimore Maryland.,Department of Neurology Johns Hopkins School of Medicine Baltimore Maryland
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34
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Ciccarelli O, Cohen JA, Reingold SC, Weinshenker BG, Amato MP, Banwell B, Barkhof F, Bebo B, Becher B, Bethoux F, Brandt A, Brownlee W, Calabresi P, Chatway J, Chien C, Chitnis T, Ciccarelli O, Cohen J, Comi G, Correale J, De Sèze J, De Stefano N, Fazekas F, Flanagan E, Freedman M, Fujihara K, Galetta S, Goldman M, Greenberg B, Hartung HP, Hemmer B, Henning A, Izbudak I, Kappos L, Lassmann H, Laule C, Levy M, Lublin F, Lucchinetti C, Lukas C, Marrie RA, Miller A, Miller D, Montalban X, Mowry E, Ourselin S, Paul F, Pelletier D, Ranjeva JP, Reich D, Reingold S, Rocca MA, Rovira A, Schlaerger R, Soelberg Sorensen P, Sormani M, Stuve O, Thompson A, Tintoré M, Traboulsee A, Trapp B, Trojano M, Uitdehaag B, Vukusic S, Waubant E, Weinshenker B, Wheeler-Kingshott CG, Xu J. Spinal cord involvement in multiple sclerosis and neuromyelitis optica spectrum disorders. Lancet Neurol 2019; 18:185-197. [DOI: 10.1016/s1474-4422(18)30460-5] [Citation(s) in RCA: 82] [Impact Index Per Article: 16.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2018] [Revised: 11/09/2018] [Accepted: 11/14/2018] [Indexed: 12/13/2022]
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Abstract
Spinal cord (SC) MRI in multiple sclerosis (MS) has significant usefulness in clinical and investigational settings. Conventional MRI of the SC is used in clinical practice, because it has both diagnostic and prognostic value. A number of advanced, quantitative SC MRI measures that assess the structural and functional integrity of the SC have been evaluated in investigational settings. These techniques have collectively demonstrated usefulness in providing insight into microstructural and functional changes relevant to disability in MS. With further development, these techniques may be useful in clinical trial settings as biomarkers of neurodegeneration and protection, and in day-to-day clinical practice.
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Affiliation(s)
- Alexandra Muccilli
- Division of Neurology, St. Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, Ontario, M5B 1W8, Canada; Division of Neurology, Centre Hospitalier de L'Université de Montréal, Université de Montréal, 1058 Saint-Denis Street, Montreal, Quebec H2X 3J4, Canada
| | - Estelle Seyman
- Division of Neurology, St. Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, Ontario, M5B 1W8, Canada
| | - Jiwon Oh
- Division of Neurology, St. Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, Ontario, M5B 1W8, Canada; Department of Neurology, Johns Hopkins University, Baltimore, MD, USA.
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36
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Valsasina P, Aboulwafa M, Preziosa P, Messina R, Falini A, Comi G, Filippi M, Rocca MA. Cervical Cord T1-weighted Hypointense Lesions at MR Imaging in Multiple Sclerosis: Relationship to Cord Atrophy and Disability. Radiology 2018; 288:234-244. [DOI: 10.1148/radiol.2018172311] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Paola Valsasina
- From the Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience (P.V., M.A., P.P., R.M., M.F., M.A.R.), Department of Neurology (P.P., R.M., G.C., M.F., M.A.R.), and Department of Neuroradiology (A.F.), San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Via Olgettina 60, 20132 Milan, Italy
| | - Mohammed Aboulwafa
- From the Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience (P.V., M.A., P.P., R.M., M.F., M.A.R.), Department of Neurology (P.P., R.M., G.C., M.F., M.A.R.), and Department of Neuroradiology (A.F.), San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Via Olgettina 60, 20132 Milan, Italy
| | - Paolo Preziosa
- From the Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience (P.V., M.A., P.P., R.M., M.F., M.A.R.), Department of Neurology (P.P., R.M., G.C., M.F., M.A.R.), and Department of Neuroradiology (A.F.), San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Via Olgettina 60, 20132 Milan, Italy
| | - Roberta Messina
- From the Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience (P.V., M.A., P.P., R.M., M.F., M.A.R.), Department of Neurology (P.P., R.M., G.C., M.F., M.A.R.), and Department of Neuroradiology (A.F.), San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Via Olgettina 60, 20132 Milan, Italy
| | - Andrea Falini
- From the Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience (P.V., M.A., P.P., R.M., M.F., M.A.R.), Department of Neurology (P.P., R.M., G.C., M.F., M.A.R.), and Department of Neuroradiology (A.F.), San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Via Olgettina 60, 20132 Milan, Italy
| | - Giancarlo Comi
- From the Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience (P.V., M.A., P.P., R.M., M.F., M.A.R.), Department of Neurology (P.P., R.M., G.C., M.F., M.A.R.), and Department of Neuroradiology (A.F.), San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Via Olgettina 60, 20132 Milan, Italy
| | - Massimo Filippi
- From the Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience (P.V., M.A., P.P., R.M., M.F., M.A.R.), Department of Neurology (P.P., R.M., G.C., M.F., M.A.R.), and Department of Neuroradiology (A.F.), San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Via Olgettina 60, 20132 Milan, Italy
| | - Maria A. Rocca
- From the Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience (P.V., M.A., P.P., R.M., M.F., M.A.R.), Department of Neurology (P.P., R.M., G.C., M.F., M.A.R.), and Department of Neuroradiology (A.F.), San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Via Olgettina 60, 20132 Milan, Italy
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37
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Tsagkas C, Magon S, Gaetano L, Pezold S, Naegelin Y, Amann M, Stippich C, Cattin P, Wuerfel J, Bieri O, Sprenger T, Kappos L, Parmar K. Spinal cord volume loss: A marker of disease progression in multiple sclerosis. Neurology 2018; 91:e349-e358. [PMID: 29950437 DOI: 10.1212/wnl.0000000000005853] [Citation(s) in RCA: 61] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2017] [Accepted: 04/19/2018] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE Cross-sectional studies have shown that spinal cord volume (SCV) loss is related to disease severity in multiple sclerosis (MS). However, long-term data are lacking. Our aim was to evaluate SCV loss as a biomarker of disease progression in comparison to other MRI measurements in a large cohort of patients with relapse-onset MS with 6-year follow-up. METHODS The upper cervical SCV, the total brain volume, and the brain T2 lesion volume were measured annually in 231 patients with MS (180 relapsing-remitting [RRMS] and 51 secondary progressive [SPMS]) over 6 years on 3-dimensional, T1-weighted, magnetization-prepared rapid-acquisition gradient echo images. Expanded Disability Status Scale (EDSS) score and relapses were recorded at every follow-up. RESULTS Patients with SPMS had lower baseline SCV (p < 0.01) but no accelerated SCV loss compared to those with RRMS. Clinical relapses were found to predict SCV loss over time (p < 0.05) in RRMS. Furthermore, SCV loss, but not total brain volume and T2 lesion volume, was a strong predictor of EDSS score worsening over time (p < 0.05). The mean annual rate of SCV loss was the strongest MRI predictor for the mean annual EDSS score change of both RRMS and SPMS separately, while correlating stronger in SPMS. Every 1% increase of the annual SCV loss rate was associated with an extra 28% risk increase of disease progression in the following year in both groups. CONCLUSION SCV loss over time relates to the number of clinical relapses in RRMS, but overall does not differ between RRMS and SPMS. SCV proved to be a strong predictor of physical disability and disease progression, indicating that SCV may be a suitable marker for monitoring disease activity and severity.
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Affiliation(s)
- Charidimos Tsagkas
- From the Department of Neurology (C.T., S.M., L.G., Y.N., M.A., T.S., L.K., K.P.), Division of Diagnostic and Interventional Neuroradiology, Department of Radiology (M.A., C.S.), and Division of Radiological Physics, Department of Radiology (O.B.), University Hospital Basel, University of Basel; Medical Image Analysis Center (MIAC AG) (C.T., S.M., L.G., M.A., J.W.), Basel; Department of Biomedical Engineering (S.P., P.C.), University of Basel, Switzerland; and Department of Neurology (T.S.), DKD HELIOS Klinik Wiesbaden, Germany
| | - Stefano Magon
- From the Department of Neurology (C.T., S.M., L.G., Y.N., M.A., T.S., L.K., K.P.), Division of Diagnostic and Interventional Neuroradiology, Department of Radiology (M.A., C.S.), and Division of Radiological Physics, Department of Radiology (O.B.), University Hospital Basel, University of Basel; Medical Image Analysis Center (MIAC AG) (C.T., S.M., L.G., M.A., J.W.), Basel; Department of Biomedical Engineering (S.P., P.C.), University of Basel, Switzerland; and Department of Neurology (T.S.), DKD HELIOS Klinik Wiesbaden, Germany
| | - Laura Gaetano
- From the Department of Neurology (C.T., S.M., L.G., Y.N., M.A., T.S., L.K., K.P.), Division of Diagnostic and Interventional Neuroradiology, Department of Radiology (M.A., C.S.), and Division of Radiological Physics, Department of Radiology (O.B.), University Hospital Basel, University of Basel; Medical Image Analysis Center (MIAC AG) (C.T., S.M., L.G., M.A., J.W.), Basel; Department of Biomedical Engineering (S.P., P.C.), University of Basel, Switzerland; and Department of Neurology (T.S.), DKD HELIOS Klinik Wiesbaden, Germany
| | - Simon Pezold
- From the Department of Neurology (C.T., S.M., L.G., Y.N., M.A., T.S., L.K., K.P.), Division of Diagnostic and Interventional Neuroradiology, Department of Radiology (M.A., C.S.), and Division of Radiological Physics, Department of Radiology (O.B.), University Hospital Basel, University of Basel; Medical Image Analysis Center (MIAC AG) (C.T., S.M., L.G., M.A., J.W.), Basel; Department of Biomedical Engineering (S.P., P.C.), University of Basel, Switzerland; and Department of Neurology (T.S.), DKD HELIOS Klinik Wiesbaden, Germany
| | - Yvonne Naegelin
- From the Department of Neurology (C.T., S.M., L.G., Y.N., M.A., T.S., L.K., K.P.), Division of Diagnostic and Interventional Neuroradiology, Department of Radiology (M.A., C.S.), and Division of Radiological Physics, Department of Radiology (O.B.), University Hospital Basel, University of Basel; Medical Image Analysis Center (MIAC AG) (C.T., S.M., L.G., M.A., J.W.), Basel; Department of Biomedical Engineering (S.P., P.C.), University of Basel, Switzerland; and Department of Neurology (T.S.), DKD HELIOS Klinik Wiesbaden, Germany
| | - Michael Amann
- From the Department of Neurology (C.T., S.M., L.G., Y.N., M.A., T.S., L.K., K.P.), Division of Diagnostic and Interventional Neuroradiology, Department of Radiology (M.A., C.S.), and Division of Radiological Physics, Department of Radiology (O.B.), University Hospital Basel, University of Basel; Medical Image Analysis Center (MIAC AG) (C.T., S.M., L.G., M.A., J.W.), Basel; Department of Biomedical Engineering (S.P., P.C.), University of Basel, Switzerland; and Department of Neurology (T.S.), DKD HELIOS Klinik Wiesbaden, Germany
| | - Christoph Stippich
- From the Department of Neurology (C.T., S.M., L.G., Y.N., M.A., T.S., L.K., K.P.), Division of Diagnostic and Interventional Neuroradiology, Department of Radiology (M.A., C.S.), and Division of Radiological Physics, Department of Radiology (O.B.), University Hospital Basel, University of Basel; Medical Image Analysis Center (MIAC AG) (C.T., S.M., L.G., M.A., J.W.), Basel; Department of Biomedical Engineering (S.P., P.C.), University of Basel, Switzerland; and Department of Neurology (T.S.), DKD HELIOS Klinik Wiesbaden, Germany
| | - Philippe Cattin
- From the Department of Neurology (C.T., S.M., L.G., Y.N., M.A., T.S., L.K., K.P.), Division of Diagnostic and Interventional Neuroradiology, Department of Radiology (M.A., C.S.), and Division of Radiological Physics, Department of Radiology (O.B.), University Hospital Basel, University of Basel; Medical Image Analysis Center (MIAC AG) (C.T., S.M., L.G., M.A., J.W.), Basel; Department of Biomedical Engineering (S.P., P.C.), University of Basel, Switzerland; and Department of Neurology (T.S.), DKD HELIOS Klinik Wiesbaden, Germany
| | - Jens Wuerfel
- From the Department of Neurology (C.T., S.M., L.G., Y.N., M.A., T.S., L.K., K.P.), Division of Diagnostic and Interventional Neuroradiology, Department of Radiology (M.A., C.S.), and Division of Radiological Physics, Department of Radiology (O.B.), University Hospital Basel, University of Basel; Medical Image Analysis Center (MIAC AG) (C.T., S.M., L.G., M.A., J.W.), Basel; Department of Biomedical Engineering (S.P., P.C.), University of Basel, Switzerland; and Department of Neurology (T.S.), DKD HELIOS Klinik Wiesbaden, Germany
| | - Oliver Bieri
- From the Department of Neurology (C.T., S.M., L.G., Y.N., M.A., T.S., L.K., K.P.), Division of Diagnostic and Interventional Neuroradiology, Department of Radiology (M.A., C.S.), and Division of Radiological Physics, Department of Radiology (O.B.), University Hospital Basel, University of Basel; Medical Image Analysis Center (MIAC AG) (C.T., S.M., L.G., M.A., J.W.), Basel; Department of Biomedical Engineering (S.P., P.C.), University of Basel, Switzerland; and Department of Neurology (T.S.), DKD HELIOS Klinik Wiesbaden, Germany
| | - Till Sprenger
- From the Department of Neurology (C.T., S.M., L.G., Y.N., M.A., T.S., L.K., K.P.), Division of Diagnostic and Interventional Neuroradiology, Department of Radiology (M.A., C.S.), and Division of Radiological Physics, Department of Radiology (O.B.), University Hospital Basel, University of Basel; Medical Image Analysis Center (MIAC AG) (C.T., S.M., L.G., M.A., J.W.), Basel; Department of Biomedical Engineering (S.P., P.C.), University of Basel, Switzerland; and Department of Neurology (T.S.), DKD HELIOS Klinik Wiesbaden, Germany
| | - Ludwig Kappos
- From the Department of Neurology (C.T., S.M., L.G., Y.N., M.A., T.S., L.K., K.P.), Division of Diagnostic and Interventional Neuroradiology, Department of Radiology (M.A., C.S.), and Division of Radiological Physics, Department of Radiology (O.B.), University Hospital Basel, University of Basel; Medical Image Analysis Center (MIAC AG) (C.T., S.M., L.G., M.A., J.W.), Basel; Department of Biomedical Engineering (S.P., P.C.), University of Basel, Switzerland; and Department of Neurology (T.S.), DKD HELIOS Klinik Wiesbaden, Germany
| | - Katrin Parmar
- From the Department of Neurology (C.T., S.M., L.G., Y.N., M.A., T.S., L.K., K.P.), Division of Diagnostic and Interventional Neuroradiology, Department of Radiology (M.A., C.S.), and Division of Radiological Physics, Department of Radiology (O.B.), University Hospital Basel, University of Basel; Medical Image Analysis Center (MIAC AG) (C.T., S.M., L.G., M.A., J.W.), Basel; Department of Biomedical Engineering (S.P., P.C.), University of Basel, Switzerland; and Department of Neurology (T.S.), DKD HELIOS Klinik Wiesbaden, Germany.
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38
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Combès B, Kerbrat A, Ferré JC, Callot V, Maranzano J, Badji A, Le Page E, Labauge P, Ayrignac X, Carra Dallière C, de Champfleur NM, Pelletier J, Maarouf A, de Seze J, Collongues N, Brassat D, Durand-Dubief F, Barillot C, Bannier E, Edan G. Focal and diffuse cervical spinal cord damage in patients with early relapsing-remitting MS: A multicentre magnetisation transfer ratio study. Mult Scler 2018; 25:1113-1123. [PMID: 29909771 DOI: 10.1177/1352458518781999] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
BACKGROUND Studies including patients with well-established multiple sclerosis (MS) have shown a significant and disability-related reduction in the cervical spinal cord (SC) magnetisation transfer ratio (MTR). OBJECTIVES The objectives are to (1) assess whether MTR reduction is already measurable in the SC of patients with early relapsing-remitting multiple sclerosis (RRMS) and (2) describe its spatial distribution. METHODS We included 60 patients with RRMS <12 months and 34 age-matched controls at five centres. Axial T2*w, sagittal T2w, sagittal phase-sensitive inversion recovery (PSIR), 3DT1w, and axial magnetisation transfer (MT) images were acquired from C1 to C7. Lesions were manually labelled and mean MTR values computed both for the whole SC and for normal-appearing SC in different regions of interest. RESULTS Mean whole SC MTR was significantly lower in patients than controls (33.7 vs 34.9 pu, p = 0.00005), even after excluding lesions (33.9 pu, p = 0.0003). We observed a greater mean reduction in MTR for vertebral levels displaying the highest lesion loads (C2-C4). In the axial plane, we observed a greater mean MTR reduction at the SC periphery and barycentre. CONCLUSION Cervical SC tissue damage measured using MTR is not restricted to macroscopic lesions in patients with early RRMS and is not homogeneously distributed.
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Affiliation(s)
- Benoît Combès
- IRISA, UMR CNRS 6074, VisAGeS U1228, INSERM, INRIA, Université Rennes I, Rennes, France
| | - Anne Kerbrat
- IRISA, UMR CNRS 6074, VisAGeS U1228, INSERM, INRIA, Université Rennes I, Rennes, France.,Neurology Department, Rennes University Hospital, Rennes, France
| | - Jean Christophe Ferré
- IRISA, UMR CNRS 6074, VisAGeS U1228, INSERM, INRIA, Université Rennes I, Rennes, France.,Radiology Department, CHU Rennes, Rennes, France
| | - Virginie Callot
- AP-HM, Pôle d'Imagerie Médicale, Hôpital de La Timone, CEMEREM, Marseille, France.,Aix-Marseille Université, CNRS, UMR 7339, CRMBM, Marseille, France
| | | | - Atef Badji
- Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada; Functional Neuroimaging Unit, CRIUGM, Université de Montreal, Montreal, QC, Canada
| | | | | | | | | | | | - Jean Pelletier
- AP-HM, Pôle d'Imagerie Médicale, Hôpital de La Timone, CEMEREM, Marseille, France.,AP-HM, CHU Timone, Pole de Neurosciences Cliniques, Department of Neurology, Marseille, France
| | - Adil Maarouf
- AP-HM, Pôle d'Imagerie Médicale, Hôpital de La Timone, CEMEREM, Marseille, France.,AP-HM, CHU Timone, Pole de Neurosciences Cliniques, Department of Neurology, Marseille, France
| | - Jérôme de Seze
- CIC, INSERM 1434, University Hospital of Strasbourg, Strasbourg, France
| | | | | | | | - Christian Barillot
- IRISA, UMR CNRS 6074, VisAGeS U1228, INSERM, INRIA, Université Rennes I, Rennes, France
| | - Elise Bannier
- IRISA, UMR CNRS 6074, VisAGeS U1228, INSERM, INRIA, Université Rennes I, Rennes, France.,Radiology Department, CHU Rennes, Rennes, France
| | - Gilles Edan
- IRISA, UMR CNRS 6074, VisAGeS U1228, INSERM, INRIA, Université Rennes I, Rennes, France.,Neurology Department, Rennes University Hospital, Rennes, France
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Cloney MB, Smith ZA, Weber KA, Parrish TB. Quantitative Magnetization Transfer MRI Measurements of the Anterior Spinal Cord Region are Associated With Clinical Outcomes in Cervical Spondylotic Myelopathy. Spine (Phila Pa 1976) 2018; 43:675-680. [PMID: 29068880 PMCID: PMC6621550 DOI: 10.1097/brs.0000000000002470] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
STUDY DESIGN A case-control study. OBJECTIVE The aim of this study was to understand the role of magnetization transfer ratio (MTR) in identifying patients with clinically significant myelopathy and disability. SUMMARY OF BACKGROUND DATA MTR is a quantitative measure that correlates with myelin loss and neural tissue destruction in a variety of neurological diseases. However, the usefulness of MTR in patients with cervical spondylotic myelopathy (CSM) has not been examined. METHODS We prospectively enrolled seven CSM patients and seven age-matched controls to undergo magnetic resonance imaging (MRI) of the cervical spine. Nurick, Neck Disability Index (NDI), and modified Japanese Orthopedic Association (mJOA) scores were collected for all patients. Clinical hyperreflexia was tested at the MCP joint, using a six-axis load cell. Reflex was simulated by quickly moving the joint from maximum flexion to maximum extension (300°/second). Anterior, lateral, and posterior cord MTR measurements were compared with clinical outcomes. RESULTS Compared with controls, CSM patients had lower anterior cord MTR (38.29 vs. 29.97, Δ = -8.314, P = 0.0022), and equivalent posterior cord (P = 0.2896) and lateral cord (P = 0.3062) MTR. Higher Nurick scores were associated with lower anterior cord MTR (P = 0.0205), but not lateral cord (P = 0.5446) or posterior cord MTR (P = 0.1222). Lower mJOA was associated with lower anterior cord MTR (P = 0.0090), but not lateral cord (P = 0.4864) or posterior cord MTR (P = 0.4819). There was no association between NDI and MTR of the anterior (P = 0.4351), lateral (P = 0.7557), or posterior cord (P = 0.9171). There was a linear relationship between hyperreflexia and anterior cord MTR (slope = -117.3, R = 0.6598, P = 0.0379), but not lateral cord (P = 0.1906, R = 0.4511) or posterior cord (P = 0.2577, R = 0.3957) MTR. CONCLUSION Anterior cord MTR correlates with clinical outcomes as measured by mJOA index, Nurick score, and quantitative hyperreflexia, and could play a role in the preoperative assessment of CSM. LEVEL OF EVIDENCE 2.
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Affiliation(s)
- Michael Brendan Cloney
- Department of Neurological Surgery, Northwestern Feinberg School of Medicine, Chicago, IL
| | - Zachary A Smith
- Department of Neurological Surgery, Northwestern Feinberg School of Medicine, Chicago, IL
| | - Kenneth A Weber
- Department of Anesthesia, Perioperative and Pain Medicine, Stanford University, Stanford, CA
| | - Todd B Parrish
- Department of Radiology, Northwestern Feinberg School of Medicine, Chicago, IL
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40
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Abstract
Since its technical development in the early 1980s, magnetic resonance imaging (MRI) has quickly been adopted as an essential tool in supporting the diagnosis, longitudinal monitoring, evaluation of therapeutic response, and scientific investigations in multiple sclerosis (MS). The clinical usage of MRI has increased in parallel with technical innovations in the technique itself; the widespread adoption of clinically routine MRI at 1.5T has allowed sensitive qualitative and quantitative assessments of macroscopic central nervous system (CNS) inflammatory demyelinating lesions and tissue atrophy. However, conventional MRI lesion measures lack specificity for the underlying MS pathology and only weakly correlate with clinical status. Higher field strength units and newer, advanced MRI techniques offer increased sensitivity and specificity in the detection of disease activity and disease severity. This review summarizes the current status and future prospects regarding the role of MRI in the characterization of MS-related brain and spinal cord involvement.
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Affiliation(s)
- Christopher C Hemond
- Laboratory for Neuroimaging Research, Partners Multiple Sclerosis Center, Ann Romney Center for Neurologic Diseases, Departments of Neurology and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115
| | - Rohit Bakshi
- Laboratory for Neuroimaging Research, Partners Multiple Sclerosis Center, Ann Romney Center for Neurologic Diseases, Departments of Neurology and Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115
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Petrova N, Carassiti D, Altmann DR, Baker D, Schmierer K. Axonal loss in the multiple sclerosis spinal cord revisited. Brain Pathol 2018; 28:334-348. [PMID: 28401686 PMCID: PMC8028682 DOI: 10.1111/bpa.12516] [Citation(s) in RCA: 63] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2017] [Accepted: 04/05/2017] [Indexed: 01/06/2023] Open
Abstract
Preventing chronic disease deterioration is an unmet need in people with multiple sclerosis, where axonal loss is considered a key substrate of disability. Clinically, chronic multiple sclerosis often presents as progressive myelopathy. Spinal cord cross-sectional area (CSA) assessed using MRI predicts increasing disability and has, by inference, been proposed as an indirect index of axonal degeneration. However, the association between CSA and axonal loss, and their correlation with demyelination, have never been systematically investigated using human post mortem tissue. We extensively sampled spinal cords of seven women and six men with multiple sclerosis (mean disease duration= 29 years) and five healthy controls to quantify axonal density and its association with demyelination and CSA. 396 tissue blocks were embedded in paraffin and immuno-stained for myelin basic protein and phosphorylated neurofilaments. Measurements included total CSA, areas of (i) lateral cortico-spinal tracts, (ii) gray matter, (iii) white matter, (iv) demyelination, and the number of axons within the lateral cortico-spinal tracts. Linear mixed models were used to analyze relationships. In multiple sclerosis CSA reduction at cervical, thoracic and lumbar levels ranged between 19 and 24% with white (19-24%) and gray (17-21%) matter atrophy contributing equally across levels. Axonal density in multiple sclerosis was lower by 57-62% across all levels and affected all fibers regardless of diameter. Demyelination affected 24-48% of the gray matter, most extensively at the thoracic level, and 11-13% of the white matter, with no significant differences across levels. Disease duration was associated with reduced axonal density, however not with any area index. Significant association was detected between focal demyelination and decreased axonal density. In conclusion, over nearly 30 years multiple sclerosis reduces axonal density by 60% throughout the spinal cord. Spinal cord cross sectional area, reduced by about 20%, appears to be a poor predictor of axonal density.
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Affiliation(s)
- Natalia Petrova
- Blizard Institute (Neuroscience), Barts and the London School of Medicine & DentistryQueen Mary University of LondonLondonUK
| | - Daniele Carassiti
- Blizard Institute (Neuroscience), Barts and the London School of Medicine & DentistryQueen Mary University of LondonLondonUK
| | | | - David Baker
- Blizard Institute (Neuroscience), Barts and the London School of Medicine & DentistryQueen Mary University of LondonLondonUK
| | - Klaus Schmierer
- Blizard Institute (Neuroscience), Barts and the London School of Medicine & DentistryQueen Mary University of LondonLondonUK
- Neurosciences Clinical Academic Groupthe Royal London Hospital, Barts Health NHS TrustLondonUK
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Cohen-Adad J. Microstructural imaging in the spinal cord and validation strategies. Neuroimage 2018; 182:169-183. [PMID: 29635029 DOI: 10.1016/j.neuroimage.2018.04.009] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2017] [Revised: 03/02/2018] [Accepted: 04/06/2018] [Indexed: 12/13/2022] Open
Abstract
In vivo histology using magnetic resonance imaging (MRI) is a newly emerging research field that aims to non-invasively characterize tissue microstructure. The implications of in vivo histology are many, from discovering novel biomarkers to studying human development, to providing tools for disease diagnosis and monitoring the effects of novel treatments on tissue. This review focuses on quantitative MRI (qMRI) techniques that are used to map spinal cord microstructure. Opening with a rationale for non-invasive imaging of the spinal cord, this article continues with a brief overview of the existing MRI techniques for axon and myelin imaging, followed by the specific challenges and potential solutions for acquiring and processing such data. The final part of this review focuses on histological validation, with suggested tissue preparation, acquisition and processing protocols for large-scale microscopy.
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Affiliation(s)
- J Cohen-Adad
- NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal, Montreal, QC, Canada; Functional Neuroimaging Unit, CRIUGM, Université de Montréal, Montreal, QC, Canada.
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43
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Prosperini L, Castelli L. Spotlight on postural control in patients with multiple sclerosis. Degener Neurol Neuromuscul Dis 2018; 8:25-34. [PMID: 30050386 PMCID: PMC6053902 DOI: 10.2147/dnnd.s135755] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Multiple sclerosis (MS) is a disease that heavily affects postural control, predisposing patients to accidental falls and fall-related injuries, with a relevant burden on their families, health care systems and themselves. Clinical scales aimed to assess balance are easy to administer in daily clinical setting, but suffer from several limitations including their variable execution, subjective judgment in the scoring system, poor performance in identifying patients at higher risk of falls, and statistical concerns mainly related to distribution of their scores. Today we are able to objectively and reliably assess postural control not only with laboratory-grade standard force platform, but also with low-cost systems based on commercial devices that provide acceptable comparability to gold-standard equipment. The sensitivity of measurements derived from force platforms is such that we can detect balance abnormalities even in minimally impaired patients and predict the risk of future accidental falls accurately. By manipulating sensory inputs (dynamic posturography) or by adding a concurrent cognitive task (dual-task paradigm) to the standard postural assessment, we can unmask postural control deficit even in patients at first demyelinating event or in those with a radiologic isolated syndrome. Studies on neuroanatomical correlates support the multifactorial etiology of postural control deficit in MS, with the association with balance impairment being correlated with cerebellum, spinal cord, and highly ordered processing network according to different studies. Postural control deficit can be managed by means of rehabilitation, which is the most important way to improve balance in patients with MS, but there are also suggestions of a beneficial effect of some pharmacologic interventions. On the other hand, it would be useful to pay attention to some drugs that are currently used to manage other symptoms in daily clinical setting because they can further impair postural controls of patients with MS.
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Affiliation(s)
- Luca Prosperini
- Department of Neurosciences, San Camillo-Forlanini Hospital, Rome, Italy,
| | - Letizia Castelli
- Department of Neurology and Psychiatry, Sapienza University, Rome, Italy
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Manca A, Dvir Z, Deriu F. Strength and work parameters in people with multiple sclerosis and in healthy individuals: A responsiveness study of the ankle dorsiflexors. ISOKINET EXERC SCI 2018. [DOI: 10.3233/ies-171204] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Affiliation(s)
- Andrea Manca
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
| | - Zeevi Dvir
- Department of Physical Therapy, Sackler Faculty of Medicine, Tel Aviv University, Ramat Aviv, Israel
| | - Franca Deriu
- Department of Biomedical Sciences, University of Sassari, Sassari, Italy
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Mahajan KR, Ontaneda D. The Role of Advanced Magnetic Resonance Imaging Techniques in Multiple Sclerosis Clinical Trials. Neurotherapeutics 2017; 14:905-923. [PMID: 28770481 PMCID: PMC5722766 DOI: 10.1007/s13311-017-0561-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Magnetic resonance imaging has been crucial in the development of anti-inflammatory disease-modifying treatments. The current landscape of multiple sclerosis clinical trials is currently expanding to include testing not only of anti-inflammatory agents, but also neuroprotective, remyelinating, neuromodulating, and restorative therapies. This is especially true of therapies targeting progressive forms of the disease where neurodegeneration is a prominent feature. Imaging techniques of the brain and spinal cord have rapidly evolved in the last decade to permit in vivo characterization of tissue microstructural changes, connectivity, metabolic changes, neuronal loss, glial activity, and demyelination. Advanced magnetic resonance imaging techniques hold significant promise for accelerating the development of different treatment modalities targeting a variety of pathways in MS.
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Affiliation(s)
- Kedar R Mahajan
- Mellen Center for Multiple Sclerosis Treatment and Research, Cleveland Clinic, 9500 Euclid Avenue, U-10, Cleveland, OH, 44195, USA
| | - Daniel Ontaneda
- Mellen Center for Multiple Sclerosis Treatment and Research, Cleveland Clinic, 9500 Euclid Avenue, U-10, Cleveland, OH, 44195, USA.
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Xia Z, Steele SU, Bakshi A, Clarkson SR, White CC, Schindler MK, Nair G, Dewey BE, Price LR, Ohayon J, Chibnik LB, Cortese ICM, De Jager PL, Reich DS. Assessment of Early Evidence of Multiple Sclerosis in a Prospective Study of Asymptomatic High-Risk Family Members. JAMA Neurol 2017; 74:293-300. [PMID: 28114441 DOI: 10.1001/jamaneurol.2016.5056] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Importance Subclinical inflammatory demyelination and neurodegeneration often precede symptom onset in multiple sclerosis (MS). Objective To investigate the prevalence of brain magnetic resonance imaging (MRI) and subclinical abnormalities among asymptomatic individuals at risk for MS. Design, Setting, and Participants The Genes and Environment in Multiple Sclerosis (GEMS) project is a prospective cohort study of first-degree relatives of people with MS. Each participant's risk for MS was assessed using a weighted score (Genetic and Environmental Risk Score for Multiple Sclerosis Susceptibility [GERSMS]) comprising an individual's genetic burden and environmental exposures. The study dates were August 2012 to July 2015. Main Outcomes and Measures Participants in the top and bottom 10% of the risk distribution underwent standard and quantitative neurological examination, including disability status, visual, cognitive, motor, and sensory testing, as well as qualitative and quantitative neuroimaging with 3-T brain MRI and optical coherence tomography. Results This study included 100 participants at risk for MS, with 41 at higher risk (40 women [98%]) and 59 at lower risk (25 women [42%]), at a mean (SD) age of 35.1 (8.7) years. Given the unequal sex distribution between the 2 groups, the analyses were restricted to women (n = 65). When considering all measured outcomes, higher-risk women differed from lower-risk women (P = .01 by omnibus test). Detailed testing with a vibration sensitivity testing device in a subgroup of 47 women showed that higher-risk women exhibited significantly poorer vibration perception in the distal lower extremities (P = .008, adjusting for age, height, and testing date). Furthermore, 5 of 65 women (8%) (4 at higher risk and 1 at lower risk) met the primary neuroimaging outcome of having T2-weighted hyperintense brain lesions consistent with the 2010 McDonald MRI criteria for dissemination in space. A subset of participants harbor many different neuroimaging features associated with MS, including perivenous T2-weighted hyperintense lesions and focal leptomeningeal enhancement, consistent with the hypothesis that these individuals are at higher risk of developing clinical symptoms of MS than the general population. Conclusions and Relevance Higher-risk asymptomatic family members of patients with MS are more likely to have early subclinical manifestations of MS. These findings underscore the importance of early detection in high-risk individuals. Trial Registration clinicaltrials.gov Identifier: NCT01353547.
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Affiliation(s)
- Zongqi Xia
- Program in Translational Neuropsychiatric Genomics and Partners Multiple Sclerosis Center, Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts2Harvard Medical School, Boston, Massachusetts3Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts4Program in Translational Neurology and Neuroinflammation, Pittsburgh Institute of Neurodegenerative Diseases and Institute of Multiple Sclerosis Care and Research, Department of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania
| | - Sonya U Steele
- Division of Neuroimmunology and Neurovirology, National Institute of Neurological Disorders and Stroke, Bethesda, Maryland
| | - Anshika Bakshi
- Division of Neuroimmunology and Neurovirology, National Institute of Neurological Disorders and Stroke, Bethesda, Maryland
| | - Sarah R Clarkson
- Program in Translational Neuropsychiatric Genomics and Partners Multiple Sclerosis Center, Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Charles C White
- Program in Translational Neuropsychiatric Genomics and Partners Multiple Sclerosis Center, Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts3Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts
| | - Matthew K Schindler
- Division of Neuroimmunology and Neurovirology, National Institute of Neurological Disorders and Stroke, Bethesda, Maryland
| | - Govind Nair
- Division of Neuroimmunology and Neurovirology, National Institute of Neurological Disorders and Stroke, Bethesda, Maryland
| | - Blake E Dewey
- Division of Neuroimmunology and Neurovirology, National Institute of Neurological Disorders and Stroke, Bethesda, Maryland
| | - Lauren R Price
- Division of Neuroimmunology and Neurovirology, National Institute of Neurological Disorders and Stroke, Bethesda, Maryland
| | - Joan Ohayon
- Division of Neuroimmunology and Neurovirology, National Institute of Neurological Disorders and Stroke, Bethesda, Maryland
| | - Lori B Chibnik
- Program in Translational Neuropsychiatric Genomics and Partners Multiple Sclerosis Center, Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts2Harvard Medical School, Boston, Massachusetts3Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts
| | - Irene C M Cortese
- Division of Neuroimmunology and Neurovirology, National Institute of Neurological Disorders and Stroke, Bethesda, Maryland
| | - Philip L De Jager
- Program in Translational Neuropsychiatric Genomics and Partners Multiple Sclerosis Center, Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Boston, Massachusetts2Harvard Medical School, Boston, Massachusetts3Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts
| | - Daniel S Reich
- Division of Neuroimmunology and Neurovirology, National Institute of Neurological Disorders and Stroke, Bethesda, Maryland
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By S, Barry RL, Smith AK, Lyttle BD, Box BA, Bagnato FR, Pawate S, Smith SA. Amide proton transfer CEST of the cervical spinal cord in multiple sclerosis patients at 3T. Magn Reson Med 2017; 79:806-814. [PMID: 28474409 DOI: 10.1002/mrm.26736] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2016] [Revised: 04/03/2017] [Accepted: 04/04/2017] [Indexed: 12/12/2022]
Abstract
PURPOSE The ability to evaluate pathological changes in the spinal cord in multiple sclerosis (MS) is limited because T1 - and T2 -w MRI imaging are not sensitive to biochemical changes in vivo. Amide proton transfer (APT) chemical exchange saturation transfer (CEST) can indirectly detect amide protons associated with proteins and peptides, potentially providing more pathological specificity. Here, we implement APT CEST in the cervical spinal cord of healthy and MS cohorts at 3T. METHODS APT CEST of the cervical spinal cord was obtained in a cohort of 10 controls and 10 MS patients using a novel respiratory correction methodology. APT was quantified using two methods: 1) APTw , based off the conventional magnetization transfer ratio asymmetry, and 2) ΔAPT, a spatial characterization of APT changes in MS patients relative to the controls. RESULTS Respiratory correction yielded highly reproducible z-spectra in white matter (intraclass correlation coefficient = 0.82). APTw signals in normal-appearing white matter (NAWM) of MS patients were significantly different from healthy controls (P = 0.04), whereas ΔAPT of MS patients highlighted large APT differences in NAWM. CONCLUSION Respiration correction in the spinal cord is necessary to accurately quantify APT CEST, which can provide unique biochemical information regarding disease processes within the spinal cord. Magn Reson Med 79:806-814, 2018. © 2017 International Society for Magnetic Resonance in Medicine.
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Affiliation(s)
- Samantha By
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, USA.,Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Robert L Barry
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Charlestown, Massachusetts, USA.,Department of Radiology, Harvard Medical School, Boston, Massachusetts, USA
| | - Alex K Smith
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, USA.,Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA.,Functional MRI of the Brain Centre, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Bailey D Lyttle
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Bailey A Box
- Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Francesca R Bagnato
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Siddharama Pawate
- Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Seth A Smith
- Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, USA.,Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA.,Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, Tennessee, USA
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Manca A, Dvir Z, Dragone D, Mureddu G, Bua G, Deriu F. Time course of strength adaptations following high-intensity resistance training in individuals with multiple sclerosis. Eur J Appl Physiol 2017; 117:731-743. [DOI: 10.1007/s00421-017-3534-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2016] [Accepted: 01/02/2017] [Indexed: 11/29/2022]
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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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