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Cerebellar Contributions to Motor and Cognitive Control in Multiple Sclerosis ✰✰✰. Arch Phys Med Rehabil 2022; 103:1592-1599. [PMID: 34998712 DOI: 10.1016/j.apmr.2021.12.010] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 10/25/2021] [Accepted: 12/13/2021] [Indexed: 11/22/2022]
Abstract
OBJECTIVE To evaluate relationships between specific cerebellar regions and common clinical measures of motor and cognitive function in persons with multiple sclerosis (PwMS). DESIGN Cross-sectional. SETTING Laboratory. PARTICIPANTS Twenty-nine PwMS and 28 age- and sex-matched controls without multiple sclerosis (MS) (N=57). INTERVENTIONS Not applicable. MAIN OUTCOME MEASURES Both diffusion and lobule magnetic resonance imaging analyses and common clinical measures of motor and cognitive function were used to examine structure-function relationships in the cerebellum. RESULTS PwMS demonstrate significantly worse motor and cognitive function than controls, including weaker strength, slower walking, and poorer performance on the Symbol Digit Modalities Test, but demonstrate no differences in cerebellar volume. However, PwMS demonstrate significantly worse diffusivity (mean diffusivity: P=.0003; axial diffusivity: P=.0015; radial diffusivity: P=.0005; fractional anisotropy: P=.016) of the superior cerebellar peduncle, the primary output of the cerebellum. Increased volume of the motor lobules (I-V, VIII) was significantly related to better motor (P<.022) and cognitive (P=.046) performance, and increased volume of the cognitive lobules (VI-VII) was also related to better motor (P<.032) and cognitive (P=.008) performance, supporting the role of the cerebellum in both motor and cognitive functioning. CONCLUSIONS These data highlight the contributions of the cerebellum to both motor and cognitive function in PwMS. Using novel neuroimaging techniques to examine structure-function relationships in PwMS improves our understanding of individualized differences in this heterogeneous group and may provide an avenue for targeted, individualized rehabilitation aimed at improving cerebellar dysfunction in MS.
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Edwards EM, Wu W, Fritz NE. Using Myelin Water Imaging to Link Underlying Pathology to Clinical Function in Multiple Sclerosis: A Scoping Review. Mult Scler Relat Disord 2022; 59:103646. [DOI: 10.1016/j.msard.2022.103646] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 12/14/2021] [Accepted: 01/29/2022] [Indexed: 12/28/2022]
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Quantitative evaluation of callosal abnormalities in relapsing-remitting multiple sclerosis using diffusion tensor imaging: A systemic review and meta-analysis. Clin Neurol Neurosurg 2021; 201:106442. [DOI: 10.1016/j.clineuro.2020.106442] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2020] [Revised: 12/12/2020] [Accepted: 12/14/2020] [Indexed: 01/13/2023]
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Tunthanathip T, Ratanalert S, Sae-Heng S, Oearsakul T. Butterfly Tumor of the Corpus Callosum: Clinical Characteristics, Diagnosis, and Survival Analysis. J Neurosci Rural Pract 2019; 8:S57-S65. [PMID: 28936073 PMCID: PMC5602263 DOI: 10.4103/jnrp.jnrp_176_17] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022] Open
Abstract
Background: The pathologies implicate the bilateral corpus callosum that builds the butterfly pattern on axial view. These tumors have seldom been investigated for both clinical manifestations and outcome. Objective: The objective of this study was to describe the clinical characteristics and outcomes of the butterfly tumor and to identify the predictive factors associated with survival outcome. Methods: A retrospective study of 50 butterfly tumor was conducted between 2003 and 2016. The clinical characteristics, imaging, and outcome were assessed for the purpose of descriptive analysis. Using the Kaplan–Meier method, the median overall survival of the butterfly tumor was determined. Furthermore, the Cox proportional hazard regression was the estimated hazard ratio for death. Results: Diffuse large B-cell lymphoma was common of butterfly lesions. The mortality rate was 78% and overall median survival time was 16.03 months (95% confidence interval: 14.0–19.8). Using Cox proportional hazards regression, the independent prognostic factors were Karnofsky Performance Status score ≤70, splenium involvement, and butterfly glioblastoma. Conclusions: The butterfly tumor is a poor prognostic disease compared with each histology subgroup. Further molecular investigation is preferable to explore genetic variations associated with these tumors.
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Affiliation(s)
- Thara Tunthanathip
- Department of Surgery, Division of Neurosurgery, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand
| | - Sanguansin Ratanalert
- Department of Surgery, Division of Neurosurgery, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand
| | - Sakchai Sae-Heng
- Department of Surgery, Division of Neurosurgery, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand
| | - Thakul Oearsakul
- Department of Surgery, Division of Neurosurgery, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla 90110, Thailand
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Fritz NE, Kloos AD, Kegelmeyer DA, Kaur P, Nichols-Larsen DS. Supplementary motor area connectivity and dual-task walking variability in multiple sclerosis. J Neurol Sci 2018; 396:159-164. [PMID: 30472552 DOI: 10.1016/j.jns.2018.11.015] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2018] [Revised: 10/15/2018] [Accepted: 11/09/2018] [Indexed: 01/21/2023]
Abstract
BACKGROUND Despite the prevalence of dual-task (e.g., walking while talking) deficits in people with multiple sclerosis (MS), no neuroimaging studies to date have examined neuronal networks used for dual-task processing or specific brain areas related to dual-task performance in this population. A better understanding of the relationship among underlying brain areas and dual-task performance may improve targeted rehabilitation programs. The objective of this study was to examine relationships between neuroimaging measures and clinical measures of dual-task performance, and reported falls in persons with MS. MATERIALS AND METHODS All participants completed measures of dual-task performance, a fall history, and neuroimaging on a 3 T MRI scanner. Spearman correlations were used to examine relationships among dual-task performance, falls and neuroimaging measures. RESULTS Eighteen females with relapsing-remitting MS [mean age = 45.5 ± 8.2 SD; mean symptom duration = 12.3 ± 6.7 years; Expanded Disability Status Scale median 2.25 (range 1.5-4)] participated in this study. Structural imaging measures of supplementary motor area (SMA) interhemispheric connectivity were significantly related to dual-task walking variability. CONCLUSIONS The SMA interhemispheric tract may play a role in dual-task performance. Structural neuroimaging may be a useful adjunct to clinical measures to predict performance and provide information about recovery patterns in MS. Functional recovery can be challenging to objectively report in MS; diffusion tensor imaging could show microstructural improvements and suggest improved connectivity.
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Affiliation(s)
- Nora E Fritz
- Program in Physical Therapy and Department of Neurology, Wayne State University, Detroit, MI, United States; Division of Physical Therapy, The Ohio State University, Columbus, OH, United States; School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, OH, United States.
| | - Anne D Kloos
- Division of Physical Therapy, The Ohio State University, Columbus, OH, United States; School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, OH, United States
| | - Deborah A Kegelmeyer
- Division of Physical Therapy, The Ohio State University, Columbus, OH, United States; School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, OH, United States
| | - Parminder Kaur
- School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, OH, United States
| | - Deborah S Nichols-Larsen
- School of Health and Rehabilitation Sciences, The Ohio State University, Columbus, OH, United States
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Diffusion tensor imaging findings in the multiple sclerosis patients and their relationships to various aspects of disability. J Neurol Sci 2018; 391:127-133. [DOI: 10.1016/j.jns.2018.06.007] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2018] [Revised: 05/22/2018] [Accepted: 06/12/2018] [Indexed: 11/19/2022]
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Multimodal assessment of normal-appearing corpus callosum is a useful marker of disability in relapsing–remitting multiple sclerosis: an MRI cluster analysis study. J Neurol 2018; 265:2243-2250. [DOI: 10.1007/s00415-018-8980-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2018] [Accepted: 07/17/2018] [Indexed: 02/08/2023]
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Yu Q, Reutens D, Vegh V. Can anomalous diffusion models in magnetic resonance imaging be used to characterise white matter tissue microstructure? Neuroimage 2018; 175:122-137. [DOI: 10.1016/j.neuroimage.2018.03.052] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2017] [Revised: 03/13/2018] [Accepted: 03/22/2018] [Indexed: 12/16/2022] Open
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Peterson DS, Fling BW. How changes in brain activity and connectivity are associated with motor performance in people with MS. Neuroimage Clin 2017; 17:153-162. [PMID: 29071209 PMCID: PMC5651557 DOI: 10.1016/j.nicl.2017.09.019] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2017] [Revised: 09/22/2017] [Accepted: 09/25/2017] [Indexed: 01/18/2023]
Abstract
People with multiple sclerosis (MS) exhibit pronounced changes in brain structure, activity, and connectivity. While considerable work has begun to elucidate how these neural changes contribute to behavior, the heterogeneity of symptoms and diagnoses makes interpretation of findings and application to clinical practice challenging. In particular, whether MS related changes in brain activity or brain connectivity protect against or contribute to worsening motor symptoms is unclear. With the recent emergence of neuromodulatory techniques that can alter neural activity in specific brain regions, it is critical to establish whether localized brain activation patterns are contributing to (i.e. maladaptive) or protecting against (i.e. adaptive) progression of motor symptoms. In this manuscript, we consolidate recent findings regarding changes in supraspinal structure and activity in people with MS and how these changes may contribute to motor performance. Furthermore, we discuss a hypothesis suggesting that increased neural activity during movement may be either adaptive or maladaptive depending on where in the brain this increase is observed. Specifically, we outline preliminary evidence suggesting sensorimotor cortex activity in the ipsilateral cortices may be maladaptive in people with MS. We also discuss future work that could supply data to support or refute this hypothesis, thus improving our understanding of this important topic.
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Affiliation(s)
- Daniel S Peterson
- Arizona State University, Tempe, AZ, USA; Veterans Affairs Phoenix Medical Center Phoenix, AZ, USA.
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Yu Q, Reutens D, O'Brien K, Vegh V. Tissue microstructure features derived from anomalous diffusion measurements in magnetic resonance imaging. Hum Brain Mapp 2016; 38:1068-1081. [PMID: 27753462 DOI: 10.1002/hbm.23441] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2016] [Revised: 08/19/2016] [Accepted: 10/08/2016] [Indexed: 11/11/2022] Open
Abstract
OBJECTIVES Tissue microstructure features, namely axon radius and volume fraction, provide important information on the function of white matter pathways. These parameters vary on the scale much smaller than imaging voxels (microscale) yet influence the magnetic resonance imaging diffusion signal at the image voxel scale (macroscale) in an anomalous manner. Researchers have already mapped anomalous diffusion parameters from magnetic resonance imaging data, but macroscopic variations have not been related to microscale influences. With the aid of a tissue model, we aimed to connect anomalous diffusion parameters to axon radius and volume fraction using diffusion-weighted magnetic resonance imaging measurements. EXPERIMENTAL DESIGN An ex vivo human brain experiment was performed to directly validate axon radius and volume fraction measurements in the human brain. These findings were validated using electron microscopy. Additionally, we performed an in vivo study on nine healthy participants to map axon radius and volume fraction along different regions of the corpus callosum projecting into various cortical areas identified using tractography. PRINCIPAL OBSERVATIONS We found a clear relationship between anomalous diffusion parameters and axon radius and volume fraction. We were also able to map accurately the trend in axon radius along the corpus callosum, and in vivo findings resembled the low-high-low-high behaviour in axon radius demonstrated previously. CONCLUSIONS Axon radius and volume fraction measurements can potentially be used in brain connectivity studies and to understand the implications of white matter structure in brain diseases and disorders. Hum Brain Mapp 38:1068-1081, 2017. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Qiang Yu
- Centre for Advanced Imaging, the University of Queensland, Brisbane, Queensland, Australia
| | - David Reutens
- Centre for Advanced Imaging, the University of Queensland, Brisbane, Queensland, Australia
| | - Kieran O'Brien
- Centre for Advanced Imaging, the University of Queensland, Brisbane, Queensland, Australia.,Healthcare Sector, Siemens Ltd, Brisbane, Queensland, Australia
| | - Viktor Vegh
- Centre for Advanced Imaging, the University of Queensland, Brisbane, Queensland, Australia
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Caligiuri ME, Barone S, Cherubini A, Augimeri A, Chiriaco C, Trotta M, Granata A, Filippelli E, Perrotta P, Valentino P, Quattrone A. The relationship between regional microstructural abnormalities of the corpus callosum and physical and cognitive disability in relapsing-remitting multiple sclerosis. NEUROIMAGE-CLINICAL 2014; 7:28-33. [PMID: 25610764 PMCID: PMC4299954 DOI: 10.1016/j.nicl.2014.11.008] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/30/2014] [Revised: 11/06/2014] [Accepted: 11/12/2014] [Indexed: 12/04/2022]
Abstract
Significant corpus callosum (CC) involvement has been found in relapsing–remitting multiple sclerosis (RRMS), even if conventional magnetic resonance imaging measures have shown poor correlation with clinical disability measures. In this work, we tested the potential of multimodal imaging of the entire CC to explain physical and cognitive disability in 47 patients with RRMS. Values of thickness, fractional anisotropy (FA) and mean diffusivity (MD) were extracted from 50 regions of interest (ROIs) sampled along the bundle. The relationships between clinical, neuropsychological and imaging variables were assessed by using Spearman's correlation. Multiple linear regression analysis was employed in order to identify the relative importance of imaging metrics in modeling different clinical variables. Regional fiber composition of the CC differentially explained the response variables (Expanded Disability Status Scale [EDSS], cognitive impairment). Increases in EDSS were explained by reductions in CC thickness and MD. Cognitive impairment was mainly explained by FA reductions in the genu and splenium. Regional CC imaging properties differentially explained disability within RRMS patients revealing strong, distinct patterns of correlation with clinical and cognitive status of patients affected by this specific clinical phenotype. We assess corpus callosum damage in relapsing–remitting multiple sclerosis. We used no a priori subdivisions to model the bundle in a continuous fashion. Imaging–clinical relationship was explored by correlation and regression analyses. Damage of large, heavily myelinated axons was mainly linked to physical disability. Damage of small-diameter axons was mainly linked to cognitive impairment.
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Affiliation(s)
- Maria Eugenia Caligiuri
- Neuroimaging Unit, Institute of Molecular Bioimaging and Physiology, National Research Council (IBFM-CNR), Viale Europa, Germaneto, Catanzaro 88100, Italy
| | - Stefania Barone
- Institute of Neurology, University "Magna Graecia", Germaneto, Catanzaro 88100, Italy
| | - Andrea Cherubini
- Neuroimaging Unit, Institute of Molecular Bioimaging and Physiology, National Research Council (IBFM-CNR), Viale Europa, Germaneto, Catanzaro 88100, Italy
| | - Antonio Augimeri
- Neuroimaging Unit, Institute of Molecular Bioimaging and Physiology, National Research Council (IBFM-CNR), Viale Europa, Germaneto, Catanzaro 88100, Italy
| | - Carmelina Chiriaco
- Neuroimaging Unit, Institute of Molecular Bioimaging and Physiology, National Research Council (IBFM-CNR), Viale Europa, Germaneto, Catanzaro 88100, Italy
| | - Maria Trotta
- Institute of Neurology, University "Magna Graecia", Germaneto, Catanzaro 88100, Italy
| | - Alfredo Granata
- Institute of Neurology, University "Magna Graecia", Germaneto, Catanzaro 88100, Italy
| | - Enrica Filippelli
- Institute of Neurology, University "Magna Graecia", Germaneto, Catanzaro 88100, Italy
| | - Paolo Perrotta
- Neuroimaging Unit, Institute of Molecular Bioimaging and Physiology, National Research Council (IBFM-CNR), Viale Europa, Germaneto, Catanzaro 88100, Italy
| | - Paola Valentino
- Institute of Neurology, University "Magna Graecia", Germaneto, Catanzaro 88100, Italy
| | - Aldo Quattrone
- Neuroimaging Unit, Institute of Molecular Bioimaging and Physiology, National Research Council (IBFM-CNR), Viale Europa, Germaneto, Catanzaro 88100, Italy ; Institute of Neurology, University "Magna Graecia", Germaneto, Catanzaro 88100, Italy
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