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Simani L, Molaeipour L, Kian S, Leavitt VM. Correlation between cognitive changes and neuroradiological changes over time in multiple sclerosis: a systematic review and meta-analysis. J Neurol 2024:10.1007/s00415-024-12517-8. [PMID: 38890188 DOI: 10.1007/s00415-024-12517-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2024] [Revised: 06/01/2024] [Accepted: 06/10/2024] [Indexed: 06/20/2024]
Abstract
BACKGROUND While many studies have examined relationships of neuroimaging variables to cognitive measures in multiple sclerosis (MS), longitudinal studies are lacking. The relationship of cognitive changes to neuroradiological changes in MS is thus incompletely understood. The present study systematically reviews all studies reporting a relationship between MRI changes and cognitive changes after at least one year of follow-up. METHOD An extensive and methodical search of online databases was conducted to identify qualified studies until August 2023. Among various cognitive tests and magnetic resonance imaging (MRI) measures, Symbol Digit Modalities Test (SDMT), Paced Auditory Serial Addition Test (PASAT), verbal fluency, T2 lesion volume (T2LV), white matter lesion volume (WML), and grey matter volume (GMV) qualified for inclusion in a meta-analysis investigating the association of cognitive changes to neuroradiological changes. RESULTS We identified 35 studies that explored the link between MRI changes and changes in cognitive outcomes. Of these, twenty studies (57.14%) investigated the association between SDMT/PASAT and MRI metrics. Eleven studies (31.42%) focused on the relationship between MRI metrics and verbal learning and memory, while ten studies (28.57%) reported associations with visuospatial learning and memory. Furthermore, eight studies (22.85%) analyzed the correlation between verbal fluency and MRI measures. Only 5 were eligible for inclusion in the meta-analysis. The meta-analysis evaluated correlations between SDMT/PASAT and GMV (rs = 0.67, 95% CI 0.44-0.91), and verbal fluency and T2LV (rs = 0.35, 95% CI 0.09-0.60). CONCLUSION In this rigorously conducted systematic review, we found a significant association of cognitive changes, specifically SDMT/PASAT and verbal fluency, to changes in T2LV and atrophy in individuals with MS. Findings should be interpreted cautiously due to the limited amount of high-quality research, small sample sizes, and variability in study methodologies.
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Affiliation(s)
- Leila Simani
- Cognitive Neuroscience Division, Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
| | - Leila Molaeipour
- Department of Biostatistics and Epidemiology, School of Health, Guilan University of Medical Sciences, Rasht, Iran
| | - Saeid Kian
- School of Behavioral and Brain Sciences, University of Texas at Dallas, Richardson, TX, USA
| | - Victoria M Leavitt
- Cognitive Neuroscience Division, Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA.
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2
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Jellinger KA. Cognitive impairment in multiple sclerosis: from phenomenology to neurobiological mechanisms. J Neural Transm (Vienna) 2024:10.1007/s00702-024-02786-y. [PMID: 38761183 DOI: 10.1007/s00702-024-02786-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 05/08/2024] [Indexed: 05/20/2024]
Abstract
Multiple sclerosis (MS) is an autoimmune-mediated disease of the central nervous system characterized by inflammation, demyelination and chronic progressive neurodegeneration. Among its broad and unpredictable range of clinical symptoms, cognitive impairment (CI) is a common and disabling feature greatly affecting the patients' quality of life. Its prevalence is 20% up to 88% with a wide variety depending on the phenotype of MS, with highest frequency and severity in primary progressive MS. Involving different cognitive domains, CI is often associated with depression and other neuropsychiatric symptoms, but usually not correlated with motor and other deficits, suggesting different pathophysiological mechanisms. While no specific neuropathological data for CI in MS are available, modern research has provided evidence that it arises from the disease-specific brain alterations. Multimodal neuroimaging, besides structural changes of cortical and deep subcortical gray and white matter, exhibited dysfunction of fronto-parietal, thalamo-hippocampal, default mode and cognition-related networks, disruption of inter-network connections and involvement of the γ-aminobutyric acid (GABA) system. This provided a conceptual framework to explain how aberrant pathophysiological processes, including oxidative stress, mitochondrial dysfunction, autoimmune reactions and disruption of essential signaling pathways predict/cause specific disorders of cognition. CI in MS is related to multi-regional patterns of cerebral disturbances, although its complex pathogenic mechanisms await further elucidation. This article, based on systematic analysis of PubMed, Google Scholar and Cochrane Library, reviews current epidemiological, clinical, neuroimaging and pathogenetic evidence that could aid early identification of CI in MS and inform about new therapeutic targets and strategies.
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Affiliation(s)
- Kurt A Jellinger
- Institute of Clinical Neurobiology, Alberichgasse 5/13, Vienna, A-1150, Austria.
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3
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Zivadinov R, Jakimovski D, Burnham A, Kuhle J, Weinstock Z, Wicks TR, Ramanathan M, Sciortino T, Ostrem M, Suchan C, Dwyer MG, Reilly J, Bergsland N, Schweser F, Kennedy C, Young-Hong D, Eckert S, Hojnacki D, Benedict RHB, Weinstock-Guttman B. Neuroimaging assessment of facility-bound severely-affected MS reveals the critical role of cortical gray matter pathology: results from the CASA-MS case-controlled study. J Neurol 2024:10.1007/s00415-024-12420-2. [PMID: 38758279 DOI: 10.1007/s00415-024-12420-2] [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: 03/10/2024] [Revised: 04/24/2024] [Accepted: 04/28/2024] [Indexed: 05/18/2024]
Abstract
BACKGROUND A subgroup of people with multiple sclerosis (pwMS) will develop severe disability. The pathophysiology underlying severe MS is unknown. The comprehensive assessment of severely affected MS (CASA-MS) was a case-controlled study that compared severely disabled in skilled nursing (SD/SN) (EDSS ≥ 7.0) to less-disabled (EDSS 3.0-6.5) community dwelling (CD) progressive pwMS, matched on age-, sex- and disease-duration (DDM). OBJECTIVES To identify neuroimaging and molecular biomarker characteristics that distinguish SD/SN from DDM-CD progressive pwMS. METHODS This study was carried at SN facility and at a tertiary MS center. The study collected clinical, molecular (serum neurofilament light chain, sNfL and glial acidic fibrillary protein, sGFAP) and MRI quantitative lesion-, brain volume-, and tissue integrity-derived measures. Statistical analyses were controlled for multiple comparisons. RESULTS 42 SD/SN and 42 DDM-CD were enrolled. SD/SN pwMS showed significantly lower cortical volume (CV) (p < 0.001, d = 1.375) and thalamic volume (p < 0.001, d = 0.972) compared to DDM-CD pwMS. In a logistic stepwise regression model, the SD/SN pwMS were best differentiated from the DDM-CD pwMS by lower CV (p < 0.001) as the only significant predictor, with the accuracy of 82.3%. No significant differences between the two groups were observed for medulla oblongata volume, a proxy for spinal cord atrophy and white matter lesion burden, while there was a statistical trend for numerically higher sGFAP in SD/SN pwMS. CONCLUSIONS The CASA-MS study showed significantly more gray matter atrophy in severe compared to less-severe progressive MS.
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Affiliation(s)
- Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 77 Goodell Street, Suite 450, Buffalo, NY, 14203, USA.
- Center for Biomedical Imaging at the Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA.
| | - Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 77 Goodell Street, Suite 450, Buffalo, NY, 14203, USA
| | | | - Jens Kuhle
- Neurologic Clinic and Policlinic, Department of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Zachary Weinstock
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 77 Goodell Street, Suite 450, Buffalo, NY, 14203, USA
| | - Taylor R Wicks
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 77 Goodell Street, Suite 450, Buffalo, NY, 14203, USA
| | - Murali Ramanathan
- Department of Pharmaceutical Sciences, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Tommaso Sciortino
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 77 Goodell Street, Suite 450, Buffalo, NY, 14203, USA
| | | | - Christopher Suchan
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 77 Goodell Street, Suite 450, Buffalo, NY, 14203, USA
| | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 77 Goodell Street, Suite 450, Buffalo, NY, 14203, USA
- Center for Biomedical Imaging at the Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA
| | | | - Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 77 Goodell Street, Suite 450, Buffalo, NY, 14203, USA
| | - Ferdinand Schweser
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 77 Goodell Street, Suite 450, Buffalo, NY, 14203, USA
- Center for Biomedical Imaging at the Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Cheryl Kennedy
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 77 Goodell Street, Suite 450, Buffalo, NY, 14203, USA
| | | | - Svetlana Eckert
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, Jacobs Comprehensive MS Treatment and Research Center, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - David Hojnacki
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, Jacobs Comprehensive MS Treatment and Research Center, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Ralph H B Benedict
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, Jacobs Comprehensive MS Treatment and Research Center, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Bianca Weinstock-Guttman
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, Jacobs Comprehensive MS Treatment and Research Center, University at Buffalo, State University of New York, Buffalo, NY, USA
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Bouman PM, van Dam MA, Jonkman LE, Steenwijk MD, Schoonheim MM, Geurts JJG, Hulst HE. Isolated cognitive impairment in people with multiple sclerosis: frequency, MRI patterns and its development over time. J Neurol 2024; 271:2159-2168. [PMID: 38286843 PMCID: PMC11055711 DOI: 10.1007/s00415-024-12185-8] [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: 09/22/2023] [Revised: 12/25/2023] [Accepted: 01/02/2024] [Indexed: 01/31/2024]
Abstract
OBJECTIVES To study the frequency of isolated (i.e., single-domain) cognitive impairments, domain specific MRI correlates, and its longitudinal development in people with multiple sclerosis (PwMS). METHODS 348 PwMS (mean age 48 ± 11 years, 67% female, 244RR/52SP/38PP) underwent neuropsychological testing (extended BRB-N) at baseline and at five-year follow-up. At baseline, structural MRI was acquired. Isolated cognitive impairment was defined as a Z-score of at least 1.5 SD below normative data in one domain only (processing speed, memory, executive functioning/working memory, and attention). Multi-domain cognitive impairment was defined as being affected in ≥ 2 domains, and cognitively preserved otherwise. For PwMS with isolated cognitive impairment, MRI correlates were explored using linear regression. Development of isolated cognitive impairment over time was evaluated based on reliable change index. RESULTS At baseline, 108 (31%) PwMS displayed isolated cognitive impairment, 148 (43%) PwMS displayed multi-domain cognitive impairment. Most PwMS with isolated cognitive impairment were impaired on executive functioning/working memory (EF/WM; N = 37), followed by processing speed (IPS; N = 25), memory (N = 23), and attention (N = 23). Isolated IPS impairment was explained by a model of cortical volume and fractional anisotropy (adj. R2 = 0.539, p < 0.001); memory by a model with cortical volume and hippocampal volume (adj. R2 = 0.493, p = 0.002); EF/WM and attention were not associated with any MRI measure. At follow-up, cognitive decline was present in 11/16 (69%) of PwMS with isolated IPS impairment at baseline. This percentage varied between 18 and 31% of PwMS with isolated cognitive impairment in domains other than IPS at baseline. CONCLUSION Isolated cognitive impairment is frequently present in PwMS and can serve as a proxy for further decline, particularly when it concerns processing speed. Cortical and deep grey matter atrophy seem to play a pivotal role in isolated cognitive impairment. Timely detection and patient-tailored intervention, predominantly for IPS, may help to postpone further cognitive decline.
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Affiliation(s)
- Piet M Bouman
- Department of Anatomy and Neurosciences, MS Center Amsterdam, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC VUmc, De Boelelaan 1117, Amsterdam, The Netherlands.
- Anatomy and Neurosciences, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands.
| | - Maureen A van Dam
- Department of Anatomy and Neurosciences, MS Center Amsterdam, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC VUmc, De Boelelaan 1117, Amsterdam, The Netherlands
- Anatomy and Neurosciences, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
- Health, Medical and Neuropsychology Unit, Institute of Psychology, Leiden University, Leiden, The Netherlands
| | - Laura E Jonkman
- Anatomy and Neurosciences, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Brain Imaging and Neurodegeneration, Amsterdam, The Netherlands
| | - Martijn D Steenwijk
- Department of Anatomy and Neurosciences, MS Center Amsterdam, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC VUmc, De Boelelaan 1117, Amsterdam, The Netherlands
- Anatomy and Neurosciences, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Menno M Schoonheim
- Department of Anatomy and Neurosciences, MS Center Amsterdam, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC VUmc, De Boelelaan 1117, Amsterdam, The Netherlands
- Anatomy and Neurosciences, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Jeroen J G Geurts
- Department of Anatomy and Neurosciences, MS Center Amsterdam, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam UMC VUmc, De Boelelaan 1117, Amsterdam, The Netherlands
- Anatomy and Neurosciences, Amsterdam UMC Location Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Hanneke E Hulst
- Health, Medical and Neuropsychology Unit, Institute of Psychology, Leiden University, Leiden, The Netherlands
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5
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Maggi G, Altieri M, Risi M, Rippa V, Borgo RM, Sacco R, Buonanno D, D'Ambrosio A, Bisecco A, Santangelo G, Gallo A. Vocabulary knowledge as a reliable proxy of cognitive reserve in multiple sclerosis: a validation study. Neurol Sci 2024:10.1007/s10072-024-07388-w. [PMID: 38418663 DOI: 10.1007/s10072-024-07388-w] [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: 11/23/2023] [Accepted: 02/04/2024] [Indexed: 03/02/2024]
Abstract
INTRODUCTION The present study aimed to explore the suitability of the vocabulary knowledge (VOC) test as an accurate and reliable proxy of cognitive reserve (CR) by evaluating its psychometric properties and discrimination accuracy compared with other CR measures in multiple sclerosis (MS). METHODS Sixty-eight consecutive people with multiple sclerosis (pwMS), followed at our MS outpatient clinic, completed a clinical evaluation and neuropsychological assessment including: VOC, Brief Repeatable Battery of Neuropsychological Tests (BRB-N), Cognitive Reserve Index Questionnaire (CRIq), Beck Depression Inventory-II, and State-Trait Anxiety Inventory. Reliability, convergent and divergent validity, and discrimination accuracy of the VOC were assessed using educational level as reference standard. The possible effects of sociodemographic and clinical factors on VOC and their role in predicting global cognitive status were also explored. RESULTS VOC demonstrated good internal consistency (Cronbach's α = 0.894) and adequate construct validity. It showed an acceptable level of discrimination between pwMS with high and low CR, comparable to the CRIq score. Education strongly affected VOC scores, which in turn were independent of MS features. VOC emerged as an independent predictor of global cognitive status together with MS-related disability. CONCLUSION We demonstrated the validity of VOC as a reliable CR measure in pwMS. Thus, CR may also be estimated using fixed objective measures, independent of brain pathology and clinical features. Early CR estimation may help clinicians identify pwMS at a higher risk of cognitive decline and plan strict neuropsychological monitoring and cognitive interventions.
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Affiliation(s)
- Gianpaolo Maggi
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
- Department of Psychology, University of Campania "Luigi Vanvitelli", Caserta, Italy
| | - Manuela Altieri
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy.
- Department of Psychology, University of Campania "Luigi Vanvitelli", Caserta, Italy.
| | - Mario Risi
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Valentina Rippa
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Riccardo Maria Borgo
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Rosaria Sacco
- Department of Neurology, Neurocenter of Southern Switzerland (NSI), Regional Hospital of Lugano, Ente Ospedaliero Cantonale, Lugano, Switzerland
| | - Daniela Buonanno
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Alessandro D'Ambrosio
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Alvino Bisecco
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
| | - Gabriella Santangelo
- Department of Psychology, University of Campania "Luigi Vanvitelli", Caserta, Italy
| | - Antonio Gallo
- Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Naples, Italy
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6
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Laaksonen S, Saraste M, Nylund M, Hinz R, Snellman A, Rinne J, Matilainen M, Airas L. Sex-driven variability in TSPO-expressing microglia in MS patients and healthy individuals. Front Neurol 2024; 15:1352116. [PMID: 38445263 PMCID: PMC10913932 DOI: 10.3389/fneur.2024.1352116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 01/31/2024] [Indexed: 03/07/2024] Open
Abstract
Background Males with multiple sclerosis (MS) have a higher risk for disability progression than females, but the reasons for this are unclear. Objective We hypothesized that potential differences in TSPO-expressing microglia between female and male MS patients could contribute to sex differences in clinical disease progression. Methods The study cohort consisted of 102 MS patients (mean (SD) age 45.3 (9.7) years, median (IQR) disease duration 12.1 (7.0-17.2) years, 72% females, 74% relapsing-remitting MS) and 76 age- and sex-matched healthy controls. TSPO-expressing microglia were measured using the TSPO-binding radioligand [11C](R)-PK11195 and brain positron emission tomography (PET). TSPO-binding was quantified as distribution volume ratio (DVR) in normal-appearing white matter (NAWM), thalamus, whole brain and cortical gray matter (cGM). Results Male MS patients had higher DVRs compared to female patients in the whole brain [1.22 (0.04) vs. 1.20 (0.02), p = 0.002], NAWM [1.24 (0.06) vs. 1.21 (0.05), p = 0.006], thalamus [1.37 (0.08) vs. 1.32 (0.02), p = 0.008] and cGM [1.25 (0.04) vs. 1.23 (0.04), p = 0.028]. Similarly, healthy men had higher DVRs compared to healthy women except for cGM. Of the studied subgroups, secondary progressive male MS patients had the highest DVRs in all regions, while female controls had the lowest DVRs. Conclusion We observed higher TSPO-binding in males compared to females among people with MS and in healthy individuals. This sex-driven inherent variability in TSPO-expressing microglia may predispose male MS patients to greater likelihood of disease progression.
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Affiliation(s)
- Sini Laaksonen
- Turku PET Centre, Turku University Hospital, University of Turku, Turku, Finland
- Neurocenter, Turku University Hospital, Turku, Finland
- Clinical Neurosciences, University of Turku, Turku, Finland
| | - Maija Saraste
- Turku PET Centre, Turku University Hospital, University of Turku, Turku, Finland
- Clinical Neurosciences, University of Turku, Turku, Finland
| | - Marjo Nylund
- Turku PET Centre, Turku University Hospital, University of Turku, Turku, Finland
- Neurocenter, Turku University Hospital, Turku, Finland
- Clinical Neurosciences, University of Turku, Turku, Finland
- InFLAMES Research Flagship, University of Turku, Turku, Finland
| | - Rainer Hinz
- Wolfson Molecular Imaging Centre, University of Manchester, Manchester, United Kingdom
| | - Anniina Snellman
- Turku PET Centre, Turku University Hospital, University of Turku, Turku, Finland
- Clinical Neurosciences, University of Turku, Turku, Finland
| | - Juha Rinne
- Turku PET Centre, Turku University Hospital, University of Turku, Turku, Finland
- Neurocenter, Turku University Hospital, Turku, Finland
- Clinical Neurosciences, University of Turku, Turku, Finland
- InFLAMES Research Flagship, University of Turku, Turku, Finland
| | - Markus Matilainen
- Turku PET Centre, Turku University Hospital, University of Turku, Turku, Finland
- Clinical Neurosciences, University of Turku, Turku, Finland
| | - Laura Airas
- Turku PET Centre, Turku University Hospital, University of Turku, Turku, Finland
- Neurocenter, Turku University Hospital, Turku, Finland
- Clinical Neurosciences, University of Turku, Turku, Finland
- InFLAMES Research Flagship, University of Turku, Turku, Finland
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Motyl J, Friedova L, Ganapathy Subramanian R, Vaneckova M, Fuchs TA, Krasensky J, Blahova Dusankova J, Kubala Havrdova E, Horakova D, Uher T. Brain MRI disease burden and sex differences in cognitive performance of patients with multiple sclerosis. Acta Neurol Belg 2024; 124:109-118. [PMID: 37552396 DOI: 10.1007/s13760-023-02350-7] [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: 03/19/2023] [Accepted: 07/24/2023] [Indexed: 08/09/2023]
Abstract
BACKGROUND Although there is evidence that shows worse cognitive functioning in male patients with multiple sclerosis (MS), the role of brain pathology in this context is under-investigated. OBJECTIVE To investigate sex differences in cognitive performance of MS patients, in the context of brain pathology and disease burden. METHODS Brain MRI, neurological examination, neuropsychological assessment (Brief International Cognitive Assessment in MS-BICAMS, and Paced Auditory Verbal Learning Test-PASAT), and patient-reported outcome questionnaires were performed/administered in 1052 MS patients. RESULTS Females had higher raw scores in the Symbol Digit Modalities Test (SDMT) (57.0 vs. 54.0; p < 0.001) and Categorical Verbal Learning Test (CVLT) (63.0 vs. 57.0; p < 0.001), but paradoxically, females evaluated their cognitive performance by MS Neuropsychological Questionnaire as being worse (16.6 vs 14.5, p = 0.004). Females had a trend for a weaker negative correlation between T2 lesion volume and SDMT ([Formula: see text] = - 0.37 in females vs. - 0.46 in men; interaction p = 0.038). On the other hand, women had a trend for a stronger correlation between Brain Parenchymal Fraction (BPF) and a visual memory test (Spearman's [Formula: see text] = 0.31 vs. 0.21; interaction p = 0.016). All these trends were not significant after correction for false discovery rate. CONCLUSIONS Although, females consider their cognition as worse, males had at a group level slightly worse verbal memory and information processing speed. However, the sex differences in cognitive performance were smaller than the variability of scores within the same sex group. Brain MRI measures did not explain the sex differences in cognitive performance among MS patients.
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Affiliation(s)
- Jiri Motyl
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Multiple Sclerosis Center, Charles University and General University Hospital, Katerinska 30, 120 00, Prague, Czech Republic
| | - Lucie Friedova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Multiple Sclerosis Center, Charles University and General University Hospital, Katerinska 30, 120 00, Prague, Czech Republic
| | - Ranjani Ganapathy Subramanian
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Manuela Vaneckova
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Tom A Fuchs
- Department of Neurology, Buffalo Neuroimaging Analysis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Jan Krasensky
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Jana Blahova Dusankova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Multiple Sclerosis Center, Charles University and General University Hospital, Katerinska 30, 120 00, Prague, Czech Republic
| | - Eva Kubala Havrdova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Multiple Sclerosis Center, Charles University and General University Hospital, Katerinska 30, 120 00, Prague, Czech Republic
| | - Dana Horakova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Multiple Sclerosis Center, Charles University and General University Hospital, Katerinska 30, 120 00, Prague, Czech Republic
| | - Tomas Uher
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Multiple Sclerosis Center, Charles University and General University Hospital, Katerinska 30, 120 00, Prague, Czech Republic.
- Department of Physiotherapy, Faculty of Health Care, University of Presov, Prešov, Slovak Republic.
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8
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Terauchi T, Mizuno M, Suzuki M, Akasaka H, Maeta M, Tamura K, Hosokawa K, Nishijima T, Maeda T. Clinical features of sleep apnea syndrome and cognitive impairment in multiple sclerosis. Mult Scler Relat Disord 2024; 82:105407. [PMID: 38160637 DOI: 10.1016/j.msard.2023.105407] [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: 10/21/2023] [Revised: 12/13/2023] [Accepted: 12/22/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND Complications of obstructive sleep apnea (OSA) have been reported in patients with multiple sclerosis (MS). Patients with sleep apnea syndrome (SAS) due to OSA also show cognitive decline, with similar clinical characteristics to that manifested in MS. SAS due to OSA is a treatable condition, and the associated cognitive decline is expected to improve. This study investigates clinical features of SAS in people living with MS and contribute to improve cognitive dysfunction of MS. METHODS A case-control study was conducted. Cognitive functions were evaluated by the Symbol Digit Modalities Test (SDMT) and the Paced Auditory Serial Addition Test 2 (PASAT-2) and 3 (PASAT-3). The Respiratory Event Index (REI) was measured using Out of Center Sleep Testing (OCST). We defined subjects with REI ≥ 5 as OSA and divided participants into two groups with or without SAS due to OSA. Cognitive and respiratory characteristics were statistically compared between patients with MS and healthy controls. RESULTS We enrolled 67 people living with MS and 31 age- and sex-matched controls. OCST detected OSA in people living with MS and controls, and the prevalence rates were 28.4 % and 25.8 %, respectively. REI values (5.2 ± 7.9 vs 3.9 ± 5.2, p = 0.509) and number of participants with REI ≥ 5 (19 vs 8, p = 0.793) were similar between the MS and control group. The SDMT, PASAT-2, and PASAT-3 scores were significantly lower in the MS group than the control group (p < 0.001, p = 0.001, and p < 0.001, respectively). The interaction effect of MS and SAS on cognitive function was not significant in the SDMT (p = 0.078), but in the PASAT-2 (p = 0.043) and PASAT-3 (p = 0.020). CONCLUSION This study revealed the prevalence rates of SAS in Japanese people living with MS and the usefulness of OCST for detection of SAS. This study also revealed that concomitant SAS can facilitate cognitive decline in people living with MS. These findings suggest that an appropriate intervention for OSA can be beneficial for people living with MS with cognitive decline.
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Affiliation(s)
- Takahiro Terauchi
- Division of Neurology and Gerontology, Department of Internal Medicine, School of Medicine, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate, 0283694, Japan
| | - Masanori Mizuno
- Division of Neurology and Gerontology, Department of Internal Medicine, School of Medicine, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate, 0283694, Japan
| | - Masako Suzuki
- Division of Neurology and Gerontology, Department of Internal Medicine, School of Medicine, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate, 0283694, Japan
| | - Hiroshi Akasaka
- Division of Neurology and Gerontology, Department of Internal Medicine, School of Medicine, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate, 0283694, Japan
| | - Manami Maeta
- Division of Neurology and Gerontology, Department of Internal Medicine, School of Medicine, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate, 0283694, Japan
| | - Kenichi Tamura
- Department of Neurology, Iwate Prefectural Chubu Hospital, 17-10 Murasakino, Kitakami, Iwate, 0248507, Japan
| | - Keisuke Hosokawa
- Division of Behavioral Sleep Medicine, School of Medicine, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate, 0283694, Japan
| | - Tsuguo Nishijima
- Division of Behavioral Sleep Medicine, School of Medicine, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate, 0283694, Japan
| | - Tetsuya Maeda
- Division of Neurology and Gerontology, Department of Internal Medicine, School of Medicine, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate, 0283694, Japan.
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9
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Jun MH, Ku B, Kim K, Lee KH, Kim JU. A screening method for mild cognitive impairment in elderly individuals combining bioimpedance and MMSE. Front Aging Neurosci 2024; 16:1307204. [PMID: 38327500 PMCID: PMC10847325 DOI: 10.3389/fnagi.2024.1307204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Accepted: 01/08/2024] [Indexed: 02/09/2024] Open
Abstract
We investigated a screening method for mild cognitive impairment (MCI) that combined bioimpedance features and the Korean Mini-Mental State Examination (K-MMSE) score. Data were collected from 539 subjects aged 60 years or older at the Gwangju Alzheimer's & Related Dementias (GARD) Cohort Research Center, A total of 470 participants were used for the analysis, including 318 normal controls and 152 MCI participants. We measured bioimpedance, K-MMSE, and the Seoul Neuropsychological Screening Battery (SNSB-II). We developed a multiple linear regression model to predict MCI by combining bioimpedance variables and K-MMSE total score and compared the model's accuracy with SNSB-II domain scores by the area under the receiver operating characteristic curve (AUROC). We additionally compared the model performance with several machine learning models such as extreme gradient boosting, random forest, support vector machine, and elastic net. To test the model performances, the dataset was divided into a training set (70%) and a test set (30%). The AUROC values of SNSB-II scores were 0.803 in both sexes, 0.840 for males, and 0.770 for females. In the combined model, the AUROC values were 0.790 (0.773) for males (and females), which were significantly higher than those from the model including MMSE scores alone (0.723 for males and 0.622 for females) or bioimpedance variables alone (0.640 for males and 0.615 for females). Furthermore, the accuracies of the combined model were comparable to those of machine learning models. The bioimpedance-MMSE combined model effectively distinguished the MCI participants and suggests a technique for rapid and improved screening of the elderly population at risk of cognitive impairment.
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Affiliation(s)
- Min-Ho Jun
- Digital Health Research Division, Korea Institute of Oriental Medicine (KIOM), Daejeon, Republic of Korea
| | - Boncho Ku
- Digital Health Research Division, Korea Institute of Oriental Medicine (KIOM), Daejeon, Republic of Korea
- School of Korean Convergence Medical Science, University of Science and Technology, Daejeon, Republic of Korea
| | - Kahye Kim
- Digital Health Research Division, Korea Institute of Oriental Medicine (KIOM), Daejeon, Republic of Korea
| | - Kun Ho Lee
- Gwangju Alzheimer’s Disease and Related Dementias (GARD) Cohort Research Center, Chosun University, Gwangju, Republic of Korea
- Department of Biomedical Science, Chosun University, Gwangju, Republic of Korea
- Dementia Research Group, Korea Brain Research Institute, Daegu, Republic of Korea
| | - Jaeuk U. Kim
- Digital Health Research Division, Korea Institute of Oriental Medicine (KIOM), Daejeon, Republic of Korea
- School of Korean Convergence Medical Science, University of Science and Technology, Daejeon, Republic of Korea
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10
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Kołtuniuk A, Chojdak-Łukasiewicz J. Beliefs about Medicines and the Level of Intentional Non-Adherence to Treatment among Patients with Multiple Sclerosis Treated with First-Line Drugs. J Clin Med 2023; 13:182. [PMID: 38202189 PMCID: PMC10779660 DOI: 10.3390/jcm13010182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2023] [Revised: 12/13/2023] [Accepted: 12/23/2023] [Indexed: 01/12/2024] Open
Abstract
INTRODUCTION Multiple sclerosis (MS) is a chronic inflammatory, demyelinating and neurodegenerative disease of the central nervous system. MS has no curable disease but drug modifying therapy (DMT) can delay the long-term disability progression of the disease. The effectiveness of MS treatment depends on the patient's adherence to therapy. AIM This study evaluated the level of intentional non-adherence and the relationship between beliefs about medication and the level of intentional non-adherence to treatment of patients with multiple sclerosis. MATERIAL AND METHODS A group of 146 patients with relapsing-remitting MS were included. To assess different aspect of adherence, the Intentional Non-Adherence Scale (INAS) was used. For evaluating patients' beliefs and opinions regarding medication, the Beliefs about Medicines Questionnaire (BMQ) was used. RESULTS The mean total INAS score was 51.41 ± 27.83 points. Patients were most concerned about the necessity to take medication and least concerned about the harm caused by medication. The overuse and harm domains of the BMQ were significantly correlated with INAS scores (p < 0.05). CONCLUSIONS Independent determinant of intentional non-adherence was overuse.
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Affiliation(s)
- Aleksandra Kołtuniuk
- Department of Nursing and Obstetrics, Wroclaw Medical University, 50-367 Wroclaw, Poland
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11
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Akaike S, Okamoto T, Kurosawa R, Onodera N, Lin Y, Sato W, Yamamura T, Takahashi Y. Exploring the Potential of the Corpus Callosum Area as a Predictive Marker for Impaired Information Processing in Multiple Sclerosis. J Clin Med 2023; 12:6948. [PMID: 37959412 PMCID: PMC10647459 DOI: 10.3390/jcm12216948] [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: 08/28/2023] [Revised: 10/31/2023] [Accepted: 11/03/2023] [Indexed: 11/15/2023] Open
Abstract
Early cognitive impairment (CI) detection is crucial in multiple sclerosis (MS). However, it can progress silently regardless of relapse activity and reach an advanced stage. We aimed to determine whether the corpus callosum area (CCA) is a sensitive and feasible marker for CI in MS compared to other neuroimaging markers. We assessed cognitive function in 77 MS patients using the Symbol Digit Modalities Test, Paced Auditory Serial Additions Task, Wechsler Adult Intelligence Scale-IV, and Wechsler Memory Scale-Revised. The neuroimaging markers included manually measured CCA, two diffusion tensor imaging markers, and nine volumetric measurements. Apart from volumes of the hippocampus and cerebellum, ten markers showed a significant correlation with all neuropsychological tests and significant differences between the groups. The normalized CCA demonstrated a moderate-to-strong correlation with all neuropsychological tests and successfully differentiated between the CI and cognitively normal groups with 80% sensitivity and 83% specificity. The marker had a large area under the curve and a high Youden index (0.82 and 0.63, respectively) and comparability with established cognitive markers. Therefore, the normalized CCA may serve as a reliable marker for CI in MS and can be easily implemented in clinical practice, providing a supportive diagnostic tool for CI in MS.
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Affiliation(s)
- Shun Akaike
- Department of Neurology, National Center of Neurology and Psychiatry, Tokyo 187-8551, Japan; (S.A.); (Y.T.)
| | - Tomoko Okamoto
- Department of Neurology, National Center of Neurology and Psychiatry, Tokyo 187-8551, Japan; (S.A.); (Y.T.)
| | - Ryoji Kurosawa
- Department of Neurology, National Center of Neurology and Psychiatry, Tokyo 187-8551, Japan; (S.A.); (Y.T.)
| | - Nozomi Onodera
- Department of Neurology, National Center of Neurology and Psychiatry, Tokyo 187-8551, Japan; (S.A.); (Y.T.)
| | - Youwei Lin
- Department of Neurology, National Center of Neurology and Psychiatry, Tokyo 187-8551, Japan; (S.A.); (Y.T.)
| | - Wakiro Sato
- Department of Immunology, National Center of Neurology and Psychiatry, Tokyo 187-8551, Japan
| | - Takashi Yamamura
- Department of Immunology, National Center of Neurology and Psychiatry, Tokyo 187-8551, Japan
| | - Yuji Takahashi
- Department of Neurology, National Center of Neurology and Psychiatry, Tokyo 187-8551, Japan; (S.A.); (Y.T.)
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Maffezzini S, Pucci V, Riccardi A, Montemurro S, Puthenparampil M, Perini P, Rinaldi F, Gallo P, Arcara G, Mondini S. Clinical Profiles in Multiple Sclerosis: Cognitive Reserve and Motor Impairment along Disease Duration. Behav Sci (Basel) 2023; 13:708. [PMID: 37753986 PMCID: PMC10525733 DOI: 10.3390/bs13090708] [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: 06/28/2023] [Revised: 08/16/2023] [Accepted: 08/24/2023] [Indexed: 09/28/2023] Open
Abstract
(i) Background: Cognitive impairment in people with multiple sclerosis (MS) has been studied in relation to certain clinical variables (e.g., motor disability and disease duration) and lifestyle factors such as cognitive reserve (CR). However, only very few studies have considered the interaction of clinical variables and cognitive reserve in preserving the integrity of the neuropsychological profile. In this paper, we hypothesised that a higher level of CR might predict good cognitive efficiency by modulating the clinical outcome of the disease. (ii) Methods: A sample of 100 participants with MS (age range 30-74), was recruited and assessed remotely with a questionnaire to measure CR and a cognitive screening test. Data were analysed through generalized additive models. (iii) Results: We found that the model analysing the interaction between CR and disease duration, and between CR and motor disability, was able to explain a significant percentage of cognitive performance. In particular, higher levels of CR predicted a better cognitive performance despite a long disease duration, unless the motor disability was severe. (iv) Conclusion: This study highlights the crucial role of CR in modulating cognitive efficiency in people with MS.
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Affiliation(s)
- Sabrina Maffezzini
- Multiple Sclerosis Centre, University-Hospital of Padua, 35128 Padova, Italy; (S.M.); (A.R.); (M.P.); (P.P.); (F.R.); (P.G.)
| | - Veronica Pucci
- Department of Philosophy, Sociology, Education and Applied Psychology, University of Padua, 35128 Padova, Italy;
- Human Inspired Technology Centre (HIT), University of Padua, 35122 Padova, Italy
| | - Alice Riccardi
- Multiple Sclerosis Centre, University-Hospital of Padua, 35128 Padova, Italy; (S.M.); (A.R.); (M.P.); (P.P.); (F.R.); (P.G.)
| | | | - Marco Puthenparampil
- Multiple Sclerosis Centre, University-Hospital of Padua, 35128 Padova, Italy; (S.M.); (A.R.); (M.P.); (P.P.); (F.R.); (P.G.)
- Department of Neuroscience, University of Padua, 35128 Padova, Italy
| | - Paola Perini
- Multiple Sclerosis Centre, University-Hospital of Padua, 35128 Padova, Italy; (S.M.); (A.R.); (M.P.); (P.P.); (F.R.); (P.G.)
| | - Francesca Rinaldi
- Multiple Sclerosis Centre, University-Hospital of Padua, 35128 Padova, Italy; (S.M.); (A.R.); (M.P.); (P.P.); (F.R.); (P.G.)
| | - Paolo Gallo
- Multiple Sclerosis Centre, University-Hospital of Padua, 35128 Padova, Italy; (S.M.); (A.R.); (M.P.); (P.P.); (F.R.); (P.G.)
- Department of Neuroscience, University of Padua, 35128 Padova, Italy
| | - Giorgio Arcara
- IRCCS San Camillo Hospital, 30126 Venice, Italy; (S.M.); (G.A.)
| | - Sara Mondini
- Department of Philosophy, Sociology, Education and Applied Psychology, University of Padua, 35128 Padova, Italy;
- Human Inspired Technology Centre (HIT), University of Padua, 35122 Padova, Italy
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13
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Šubert M, Novotný M, Tykalová T, Srpová B, Friedová L, Uher T, Horáková D, Rusz J. Lexical and syntactic deficits analyzed via automated natural language processing: the new monitoring tool in multiple sclerosis. Ther Adv Neurol Disord 2023; 16:17562864231180719. [PMID: 37384113 PMCID: PMC10293520 DOI: 10.1177/17562864231180719] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 05/13/2023] [Indexed: 06/30/2023] Open
Abstract
Background Impairment of higher language functions associated with natural spontaneous speech in multiple sclerosis (MS) remains underexplored. Objectives We presented a fully automated method for discriminating MS patients from healthy controls based on lexical and syntactic linguistic features. Methods We enrolled 120 MS individuals with Expanded Disability Status Scale ranging from 1 to 6.5 and 120 age-, sex-, and education-matched healthy controls. Linguistic analysis was performed with fully automated methods based on automatic speech recognition and natural language processing techniques using eight lexical and syntactic features acquired from the spontaneous discourse. Fully automated annotations were compared with human annotations. Results Compared with healthy controls, lexical impairment in MS consisted of an increase in content words (p = 0.037), a decrease in function words (p = 0.007), and overuse of verbs at the expense of noun (p = 0.047), while syntactic impairment manifested as shorter utterance length (p = 0.002), and low number of coordinate clause (p < 0.001). A fully automated language analysis approach enabled discrimination between MS and controls with an area under the curve of 0.70. A significant relationship was detected between shorter utterance length and lower symbol digit modalities test score (r = 0.25, p = 0.008). Strong associations between a majority of automatically and manually computed features were observed (r > 0.88, p < 0.001). Conclusion Automated discourse analysis has the potential to provide an easy-to-implement and low-cost language-based biomarker of cognitive decline in MS for future clinical trials.
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Affiliation(s)
- Martin Šubert
- Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
| | - Michal Novotný
- Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
| | - Tereza Tykalová
- Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Prague, Czech Republic
| | - Barbora Srpová
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Lucie Friedová
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Tomáš Uher
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Dana Horáková
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Jan Rusz
- Department of Circuit Theory, Faculty of Electrical Engineering, Czech Technical University in Prague, Technická 2, 160 00 Prague, Czech Republic
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
- Department of Neurology and ARTORG Center for Biomedical Engineering Research, Inselspital (Bern University Hospital), University of Bern, Bern, Switzerland
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Jackson-Tarlton CS, Keegan BM, Fereidan-Esfahani M, Barakat BO, Decker PA, Lucchinetti CF, Eckel-Passow J, Tobin WO. Spinal cord and brain corticospinal tract lesions are associated with motor progression in tumefactive multiple sclerosis. Mult Scler Relat Disord 2023; 73:104614. [PMID: 36948092 DOI: 10.1016/j.msard.2023.104614] [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: 01/17/2023] [Revised: 02/24/2023] [Accepted: 03/09/2023] [Indexed: 03/14/2023]
Abstract
BACKGROUND Spinal cord lesions have been associated with progressive disease in individuals with typical relapsing remitting MS (RRMS). OBJECTIVE In the current study, we aimed to determine if progressive disease is associated with spinal cord lesions in those with tumefactive multiple sclerosis (MS). METHODS Retrospective chart review of individuals presenting to Mayo Clinic with tumefactive MS with spinal cord MRIs available (n=159). Clinical data were extracted by chart review. Brain and spinal cord MRIs were reviewed to characterize the tumefactive demyelinating lesion(s) and assess the burden of spinal cord disease. RESULTS A total of 69 (43%) had spinal cord lesions. Progressive demyelinating disease was documented in 13 (8%); the majority (11/13) with secondary progressive disease. The method of progression was myelopathic in 8/13 (62%), cognitive in 3/13 (23%), motor from a supratentorial lesion in 2/13 (16%). EDSS at last follow-up was higher in those with progression than those without (median 6.0 (2.0-10.0) vs. 2.5 (0-10.0), p = < 0.001). Progressive demyelinating disease occurred in a minority. CONCLUSIONS Patients with progression typically experienced progressive motor impairment, and this occurred exclusively in individuals with lesions in the corticospinal tracts of the brain and/or the spinal cord.
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Affiliation(s)
- Caitlin S Jackson-Tarlton
- Department of Neurology, Mayo Clinic, Rochester, MN, USA; Division of Neurology, Department of Medicine, Dalhousie University, Halifax, NS, USA
| | - B Mark Keegan
- Department of Neurology, Mayo Clinic, Rochester, MN, USA; Mayo Clinic Center for Multiple Sclerosis and Autoimmune Neurology, Rochester, MN, USA
| | - Mahboubeh Fereidan-Esfahani
- Department of Neurology, Mayo Clinic, Rochester, MN, USA; Division of Neurology, Department of Medicine, Dalhousie University, Halifax, NS, USA; Dell Medical School at the University of Texas at Austin, Austin, TX, USA
| | - Benan O Barakat
- Department of Neurology, Mayo Clinic, Rochester, MN, USA; Mayo Clinic Center for Multiple Sclerosis and Autoimmune Neurology, Rochester, MN, USA; Department of Neurology, Bon Secours Mercy Health St. Vincent Medical Center, Toledo, OH, USA
| | - Paul A Decker
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester MN, USA
| | - Claudia F Lucchinetti
- Department of Neurology, Mayo Clinic, Rochester, MN, USA; Mayo Clinic Center for Multiple Sclerosis and Autoimmune Neurology, Rochester, MN, USA
| | | | - W Oliver Tobin
- Department of Neurology, Mayo Clinic, Rochester, MN, USA; Mayo Clinic Center for Multiple Sclerosis and Autoimmune Neurology, Rochester, MN, USA.
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15
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Hoeijmakers A, Licitra G, Meijer K, Lam KH, Molenaar P, Strijbis E, Killestein J. Disease severity classification using passively collected smartphone-based keystroke dynamics within multiple sclerosis. Sci Rep 2023; 13:1871. [PMID: 36725975 PMCID: PMC9892592 DOI: 10.1038/s41598-023-28990-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 01/27/2023] [Indexed: 02/03/2023] Open
Abstract
Multiple Sclerosis (MS) is a progressive demyelinating disease of the central nervous system characterised by a wide range of motor and non-motor symptoms. The level of disability of people with MS (pwMS) is based on a wide range of clinical measures, though their frequency of evaluation and inaccuracies coming from objective and self-reported evaluations limits these assessments. Alternatively, remote health monitoring through devices can offer a cost-efficient solution to gather more reliable, objective measures continuously. Measuring smartphone keyboard interactions is a promising tool since typing and, thus, keystroke dynamics are likely influenced by symptoms that pwMS can experience. Therefore, this paper aims to investigate whether keyboard interactions gathered on a person's smartphone can provide insight into the clinical status of pwMS leveraging machine learning techniques. In total, 24 Healthy Controls (HC) and 102 pwMS were followed for one year. Next to continuous data generated via smartphone interactions, clinical outcome measures were collected and used as targets to train four independent multivariate binary classification pipelines in discerning pwMS versus HC and estimating the level of disease severity, manual dexterity and cognitive capabilities. The final models yielded an AUC-ROC in the hold-out set above 0.7, with the highest performance obtained in estimating the level of fine motor skills (AUC-ROC=0.753). These findings show that keyboard interactions combined with machine learning techniques can be used as an unobtrusive monitoring tool to estimate various levels of clinical disability in pwMS from daily activities and with a high frequency of sampling without increasing patient burden.
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Affiliation(s)
| | | | - Kim Meijer
- Neurocast B.V., Amsterdam, The Netherlands
| | - Ka-Hoo Lam
- Department of Neurology, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Pam Molenaar
- Department of Neurology, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Eva Strijbis
- Department of Neurology, Amsterdam University Medical Centers, Amsterdam, The Netherlands
| | - Joep Killestein
- Department of Neurology, Amsterdam University Medical Centers, Amsterdam, The Netherlands
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Cuerda-Ballester M, Martínez-Rubio D, García-Pardo MP, Proaño B, Cubero L, Calvo-Capilla A, Sancho-Cantus D, de la Rubia Ortí JE. Relationship of Motor Impairment with Cognitive and Emotional Alterations in Patients with Multiple Sclerosis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:1387. [PMID: 36674140 PMCID: PMC9864158 DOI: 10.3390/ijerph20021387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/25/2022] [Revised: 01/09/2023] [Accepted: 01/10/2023] [Indexed: 06/17/2023]
Abstract
Introduction. Multiple sclerosis (MS) is a neurodegenerative disease that, despite mainly affecting women, is more severe in men and causes motor, cognitive and emotional alterations. The objective of this study was to determine the possible relationship between motor, cognitive and emotional alterations. Materials and Methods. This is a descriptive, observational and cross-sectional study, with 67 patients with MS (20 men and 47 women), who were given the following questionnaires: Expanded Disability Status Scale (EDSS), Two-Minute Walk Test (2MWT), Berg Balance Scale, Beck’s Depression Inventory (BDI-II), State-Trait Anxiety Inventory (STAI) and Prefrontal Symptoms Inventory (PSI) to analyze their cognitive level, body mass index (BMI) and percentage of muscle mass. In addition, regression analysis was conducted to study the relationship among variables. Results. No significant differences were found between men and women in any of the variables. Regarding the relationship between parameters, the regression analysis was statistically significant, showing an effect of age on the walking and balance performance (β ≅ −0.4, p < 0.05); in addition, there was a relationship between 2MWT and STAI A/S, indicating that both older age and a high anxiety state could impact walking performance. On the other hand, prefrontal symptoms showed moderate relationships with both anxiety and depression (β ≅ 0.6, p < 0.05); thus, high levels of anxiety and depression could increase prefrontal alterations. Conclusions. There is a relationship between motor and emotional variables. Specifically, state anxiety is related to walking resistance. No relationship was found between depression and cognitive alteration and balance or walking ability. Only age has an effect in these relationships.
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Affiliation(s)
- María Cuerda-Ballester
- Doctoral School, Catholic University of Valencia San Vicente Mártir, 46001 Valencia, Spain
| | - David Martínez-Rubio
- Psicoforma Integral Psychology Center, 46001 Valencia, Spain
- Department of Psychology, European University of Valencia, 46010 Valencia, Spain
| | - María Pilar García-Pardo
- Department of Psychology and Sociology, University of Zaragoza, Campus Teruel, 44003 Teruel, Spain
| | - Belén Proaño
- Department of Basic Medical Sciences, Catholic University of Valencia, 46001 Valencia, Spain
| | - Laura Cubero
- Department of Basic Medical Sciences, Catholic University of Valencia, 46001 Valencia, Spain
| | - Antonio Calvo-Capilla
- Department of Medicine and Animal Surgery, Catholic University of Valencia, 46001 Valencia, Spain
| | - David Sancho-Cantus
- Department of Basic Medical Sciences, Catholic University of Valencia, 46001 Valencia, Spain
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Maeta M, Mizuno M, Okubo S, Ogasawara M, Terauchi T, Suzuki M, Akasaka H, Sato Y, Ohi K, Maeda T. Symbol digit modalities test predicts decline of off-road driving ability in Japanese patients with multiple sclerosis. Mult Scler Relat Disord 2022; 68:104150. [PMID: 36055114 DOI: 10.1016/j.msard.2022.104150] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 07/31/2022] [Accepted: 08/26/2022] [Indexed: 12/15/2022]
Abstract
BACKGROUND Multiple sclerosis (MS) is a chronic progressing neurological disease with exacerbations and remissions. Patients with MS can show a variety of neurological symptoms. Cognitive decline is noticed as one of them and is related with deterioration of daily life quality in a clinical practice. Driving a car is one of the common activities required in daily life and is also an important issue in MS patients. METHODS To clarify the relationship between cognitive function and driving ability in MS patients, the symbol digit modalities test (SDMT) and a driving simulator were evaluated. We enrolled 24 patients with MS (5 males, 19 females, 39.04 ± 8.27 years old) and age- and sex-matched 24 healthy controls (5 males, 19 females, 40.54 ± 9.78 years old) in this study. They underwent the SDMT and also used a driving simulator to measure a total of 12 response values related to driving ability. In order to evaluate the relationship between SDMT and driving ability, MS patients were divided into two groups according to the median SDMT score: group A (SDMT 51 or more) and group B (SDMT less than 51). The data were statistically analyzed among control group, MS group A, and MS group B using Jonkheere-Terpstra trend test and Bonferroni's multiple comparison test. RESULTS The group with higher scores on the SDMT tended to have significantly higher driving performance. Multiple comparison analysis among three groups showed that the reaction values for speed of response behavior were significantly higher in MS group B than control group. CONCLUSION This study revealed a relationship between driving abilities and SDMT scores. Clinical evaluation using the SDMT may help to detect cognitive decline and to make a decision on driving a car in patients with MS.
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Affiliation(s)
- Manami Maeta
- Division of Neurology and Gerontology, Department of Internal Medicine, School of Medicine, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate 0283694, Japan
| | - Masanori Mizuno
- Division of Neurology and Gerontology, Department of Internal Medicine, School of Medicine, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate 0283694, Japan
| | - Satoru Okubo
- Department of Occupational Therapy, Iwate Rehabilitation Center, 16-243 Nanatsumori, Shizukuishi, Iwate 0200503, Japan
| | - Miku Ogasawara
- Department of Occupational Therapy, Iwate Rehabilitation Center, 16-243 Nanatsumori, Shizukuishi, Iwate 0200503, Japan
| | - Takahiro Terauchi
- Division of Neurology and Gerontology, Department of Internal Medicine, School of Medicine, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate 0283694, Japan
| | - Masako Suzuki
- Division of Neurology and Gerontology, Department of Internal Medicine, School of Medicine, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate 0283694, Japan
| | - Hiroshi Akasaka
- Division of Neurology and Gerontology, Department of Internal Medicine, School of Medicine, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate 0283694, Japan
| | - Yoshitomo Sato
- Department of Neurology, Iwate Rehabilitation Center, 16-243 Nanatsumori, Shizukuishi, Iwate 0200503, Japan
| | - Kiyohumi Ohi
- Department of Neurology, Iwate Rehabilitation Center, 16-243 Nanatsumori, Shizukuishi, Iwate 0200503, Japan
| | - Tetsuya Maeda
- Division of Neurology and Gerontology, Department of Internal Medicine, School of Medicine, Iwate Medical University, 1-1-1 Idaidori, Yahaba, Shiwa, Iwate 0283694, Japan.
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Van Wijmeersch B, Hartung HP, Vermersch P, Pugliatti M, Pozzilli C, Grigoriadis N, Alkhawajah M, Airas L, Linker R, Oreja-Guevara C. Using personalized prognosis in the treatment of relapsing multiple sclerosis: A practical guide. Front Immunol 2022; 13:991291. [PMID: 36238285 PMCID: PMC9551305 DOI: 10.3389/fimmu.2022.991291] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2022] [Accepted: 07/28/2022] [Indexed: 11/13/2022] Open
Abstract
The clinical course of multiple sclerosis (MS) is highly variable among patients, thus creating important challenges for the neurologist to appropriately treat and monitor patient progress. Despite some patients having apparently similar symptom severity at MS disease onset, their prognoses may differ greatly. To this end, we believe that a proactive disposition on the part of the neurologist to identify prognostic “red flags” early in the disease course can lead to much better long-term outcomes for the patient in terms of reduced disability and improved quality of life. Here, we present a prognosis tool in the form of a checklist of clinical, imaging and biomarker parameters which, based on consensus in the literature and on our own clinical experiences, we have established to be associated with poorer or improved clinical outcomes. The neurologist is encouraged to use this tool to identify the presence or absence of specific variables in individual patients at disease onset and thereby implement sufficiently effective treatment strategies that appropriately address the likely prognosis for each patient.
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Affiliation(s)
- Bart Van Wijmeersch
- Universitair Multiple Sclerosis (MS) Centrum, Hasselt-Pelt, Belgium
- Noorderhart, Revalidatie & Multiple Sclerosis (MS), Pelt, Belgium
- REVAL & BIOMED, Hasselt University, Hasselt, Belgium
- *Correspondence: Bart Van Wijmeersch,
| | - Hans-Peter Hartung
- Department of Neurology, Medical Faculty, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
- Brain and Mind Center, University of Sydney, Sydney, NSW, Australia
- Department of Neurology, Palacky University Olomouc, Olomouc, Czechia
| | - Patrick Vermersch
- University Lille, Inserm U1172 LilNCog, Centre Hospitalier Universitaire (CHU) Lille, Fédératif Hospitalo-Universitaire (FHU) Precise, Lille, France
| | - Maura Pugliatti
- Department of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, Italy
- Unit of Clinical Neurology, San Anna University Hospital, Ferrara, Italy
| | - Carlo Pozzilli
- Department of Human Neuroscience, Sapienza University, Rome, Italy
| | - Nikolaos Grigoriadis
- B’ Department of Neurology, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Mona Alkhawajah
- Neuroscience Center, King Faisal Specialist Hospital and Research Center, Riyadh, Saudi Arabia
| | - Laura Airas
- Turku University Hospital and University of Turku, Turku, Finland
| | - Ralf Linker
- Department of Neurology, University Hospital Regensburg, Regensburg, Germany
| | - Celia Oreja-Guevara
- Department of Neurology, Hospital Clínico San Carlos, Instituto de Investigación Sanitaria del Hospital Cliínico San Carlos (IDISSC), Madrid, Spain
- Department of Medicine, Faculty of Medicine, Universidad Complutense de Madrid, Madrid, Spain
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19
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Cognitive-Motor Interference and Cortical Activation While Walking in Individuals With Multiple Sclerosis. Motor Control 2022; 26:677-693. [PMID: 35963616 DOI: 10.1123/mc.2021-0051] [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: 09/16/2021] [Revised: 06/06/2022] [Accepted: 06/26/2022] [Indexed: 11/18/2022]
Abstract
The present study expands on current understanding of dual-task cognitive-motor interference, by including cortical activation measures to both traditional and ecologically valid dual-task paradigms. Fifteen individuals with multiple sclerosis and 14 control participants underwent mobility testing while wearing functional near-infrared spectroscopy. In the absence of increased prefrontal cortical activation, subjects with multiple sclerosis performed significantly worse on measures of cognition under both single- and dual-task conditions. These findings suggest that persons with multiple sclerosis may be unable to allocate additional cortical resources to cognition under dual-task conditions, leading to significant cognitive-motor interference and decrements in performance. This study is the first to investigate cortical activation across several commonly used and ecologically valid dual-task assessments.
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20
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Integrated Approaches to Identify miRNA Biomarkers Associated with Cognitive Dysfunction in Multiple Sclerosis Using Text Mining, Gene Expression, Pathways, and GWAS. Diagnostics (Basel) 2022; 12:diagnostics12081914. [PMID: 36010264 PMCID: PMC9406323 DOI: 10.3390/diagnostics12081914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 08/03/2022] [Accepted: 08/03/2022] [Indexed: 11/16/2022] Open
Abstract
Multiple sclerosis (MS), a chronic autoimmune disorder, affects the central nervous system of many young adults. More than half of MS patients develop cognition problems. Although several genomic and transcriptomic studies are currently reported in MS cognitive impairment, a comprehensive repository dealing with all the experimental data is still underdeveloped. In this study, we combined text mining, gene regulation, pathway analysis, and genome-wide association studies (GWAS) to identify miRNA biomarkers to explore the cognitive dysfunction in MS, and to understand the genomic etiology of the disease. We first identified the dysregulated miRNAs associated with MS and cognitive dysfunction using PubTator (text mining), HMDD (experimental associations), miR2Disease, and PhenomiR database (differentially expressed miRNAs). Our results suggest that miRNAs such as hsa-mir-148b-3p, hsa-mir-7b-5p, and hsa-mir-7a-5p are commonly associated with MS and cognitive dysfunction. Next, we retrieved GWAS signals from GWAS Catalog, and analyzed the enrichment analysis of association signals in genes/miRNAs and their association networks. Then, we identified susceptible genetic loci, rs17119 (chromosome 6; p = 1 × 10−10), rs1843938 (chromosome 7; p = 1 × 10−10), and rs11637611 (chromosome 15; p = 1.00 × 10−15), associated with significant genetic risk. Lastly, we conducted a pathway analysis for the susceptible genetic variants and identified novel risk pathways. The ECM receptor signaling pathway (p = 3.98 × 10−8) and PI3K/Akt signaling pathway (p = 5.98 × 10−5) were found to be associated with differentially expressed miRNA biomarkers.
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21
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Rajtmajer SM, Errington TM, Hillary FG. Science Forum: How failure to falsify in high-volume science contributes to the replication crisis. eLife 2022; 11:78830. [PMID: 35939392 PMCID: PMC9398444 DOI: 10.7554/elife.78830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 07/28/2022] [Indexed: 11/29/2022] Open
Abstract
The number of scientific papers published every year continues to increase, but scientific knowledge is not progressing at the same rate. Here we argue that a greater emphasis on falsification – the direct testing of strong hypotheses – would lead to faster progress by allowing well-specified hypotheses to be eliminated. We describe an example from neuroscience where there has been little work to directly test two prominent but incompatible hypotheses related to traumatic brain injury. Based on this example, we discuss how building strong hypotheses and then setting out to falsify them can bring greater precision to the clinical neurosciences, and argue that this approach could be beneficial to all areas of science.
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Affiliation(s)
- Sarah M Rajtmajer
- College of Information Sciences and Technology, Pennsylvania State University, University Park, United States
| | | | - Frank G Hillary
- Department of Psychology, Pennsylvania State University, University Park, United States
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22
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O’Keeffe C, Yap SM, Davenport L, Cogley C, Craddock F, Kennedy A, Tubridy N, Looze CD, Suleyman N, O’Keeffe F, Reilly RB, McGuigan C. Association between speech rate measures and cognitive function in people with relapsing and progressive multiple sclerosis. Mult Scler J Exp Transl Clin 2022; 8:20552173221119813. [PMID: 36003923 PMCID: PMC9393591 DOI: 10.1177/20552173221119813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 07/01/2022] [Accepted: 07/28/2022] [Indexed: 11/18/2022] Open
Abstract
Background Cognitive impairments are well-documented in multiple sclerosis (MS), while
speech impairments are often overlooked despite their significant effect on
quality of life. For effective clinical management of multisystem conditions
such as MS, consideration should be given to the interaction between
deficits in multiple domains, such as speech and cognition. To evaluate
speech rate measures of spontaneous and read speech, in people with MS and
to examine the link between speech and cognition. Methods Forty-five people with MS and 25 controls underwent an extensive cognitive
battery, including executive functioning, information processing and memory
tasks, and completed two speech tasks: a reading task and a picture
description task, from which speech rate measures were derived. Results The progressive MS cohort had reduced articulation
(p < 0.04) and speech rate
(p < 0.02) compared to controls and those with relapsing
MS. Regression models also revealed information processing speed accounted
for 18% to 30% of the variance of spontaneous speech rate measures, and 27%
of read speech. Executive functioning accounted for a further 10% of the
variance of speech rate in those with MS. Conclusions The present study suggests that speech production is contingent on cognitive
ability, with information processing speed and executive functioning linked
with speech timing patterns.
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Affiliation(s)
- Clodagh O’Keeffe
- Trinity Centre for Biomedical Engineering, Trinity College, The University of Dublin, Dublin, Ireland
- School of Medicine, Trinity College, The University of Dublin, Dublin, Ireland
| | - Siew Mei Yap
- Department of Neurology, St Vincent’s University Hospital, Dublin, Ireland
- School of Medicine, University College Dublin, Belfield, Dublin, Ireland
| | | | | | - Fiona Craddock
- Department of Neuropsychology, St Vincent’s University Hospital, Dublin, Ireland
| | - Alex Kennedy
- Trinity Centre for Biomedical Engineering, Trinity College, The University of Dublin, Dublin, Ireland
| | - Niall Tubridy
- Department of Neurology, St Vincent’s University Hospital, Dublin, Ireland
- School of Medicine, University College Dublin, Belfield, Dublin, Ireland
| | - Céline De Looze
- Trinity Centre for Biomedical Engineering, Trinity College, The University of Dublin, Dublin, Ireland
- School of Engineering, Trinity College, The University of Dublin, Dublin, Ireland
| | - Narin Suleyman
- Trinity Centre for Biomedical Engineering, Trinity College, The University of Dublin, Dublin, Ireland
- School of Engineering, Trinity College, The University of Dublin, Dublin, Ireland
| | - Fiadhnait O’Keeffe
- Department of Neuropsychology, St Vincent’s University Hospital, Dublin, Ireland
| | - Richard B. Reilly
- Trinity Centre for Biomedical Engineering, Trinity College, The University of Dublin, Dublin, Ireland
- School of Medicine, Trinity College, The University of Dublin, Dublin, Ireland
- School of Engineering, Trinity College, The University of Dublin, Dublin, Ireland
| | - Christopher McGuigan
- Department of Neurology, St Vincent’s University Hospital, Dublin, Ireland
- School of Medicine, University College Dublin, Belfield, Dublin, Ireland
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Eldemir S, Ozkul C, Eldemir K, Saygili F, Guclu-Gunduz A, Irkec C. The reliability and validity of the Turkish version of the dual-task questionnaire in patients with multiple sclerosis. Mult Scler Relat Disord 2022; 64:103942. [PMID: 35717901 DOI: 10.1016/j.msard.2022.103942] [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: 03/12/2022] [Revised: 05/19/2022] [Accepted: 06/03/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND Activities of daily living often require performing dual-task (DT). People with Multiple Sclerosis (PwMS) may have difficulties during dual-task and these difficulties negatively affect their quality of life. However, the number of validated questionnaires to assess DT difficulties in Multiple Sclerosis (MS) is very few. Therefore, the study aimed to translate and adapt the Dual-Task Questionnaire (DTQ) into Turkish, thereafter analyzing the psychometric properties in PwMS. METHODS A total of 51 PwMS were recruited in the study. Cronbach's alpha coefficient was used to evaluate internal consistency. The test-retest reliability was determined using the intraclass correlation coefficient (ICC). Correlations of the DTQ with motor-dual task costs (DTCs) and cognitive-DTCs were used to assess construct validity. RESULTS The mean age was 36.84±10.47 years. The internal consistency of the DTQ was acceptable (α= 0.780). The test-retest reliability of all items and the total score of the DTQ were excellent (ICC>0.90). The relationships of DTQ-Total between some parameters of motor-DTCs (ρ=-0.409-(-0.495) for walking-DTCs, ρ=-0.313 for manual dexterity-DTC during mental tracking, and ρ=-0.353 for balance-DTC during mental tracking) and cognitive-DTCs (ρ=0.328 for mental tacking-DTC during balance, ρ=0.290-0.342 for all verbal fluency-DTCs) were low to moderately significant. CONCLUSION Turkish version of DTQ is a reliable and valid tool to measure DT difficulty in PwMS. Additionally, the questionnaire is a reliable and valid Patient Reported Outcomes Initiative for MS (PROMS) for Turkish-speaking PwMS.
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Affiliation(s)
- Sefa Eldemir
- Department of Physiotherapy and Rehabilitation, Faculty of Health Sciences, Gazi University, Ankara, Turkey.
| | - Cagla Ozkul
- Department of Physiotherapy and Rehabilitation, Faculty of Health Sciences, Gazi University, Ankara, Turkey
| | - Kader Eldemir
- Department of Physiotherapy and Rehabilitation, Faculty of Health Sciences, Gazi University, Ankara, Turkey
| | - Fettah Saygili
- Department of Physiotherapy and Rehabilitation, Faculty of Health Sciences, Gazi University, Ankara, Turkey
| | - Arzu Guclu-Gunduz
- Department of Physiotherapy and Rehabilitation, Faculty of Health Sciences, Gazi University, Ankara, Turkey
| | - Ceyla Irkec
- Lokman Hekim Hospitals Group, Ankara, Turkey
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24
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Butler Pagnotti R, Hua LH, Miller JB. Cognition and disease characteristics in adult onset versus late onset multiple sclerosis. Mult Scler 2022; 28:933-941. [PMID: 34410177 PMCID: PMC9199429 DOI: 10.1177/13524585211039112] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Cognitive impairment is common sequelae of multiple sclerosis (MS); however, relatively little is known about cognitive impairment in late-onset multiple sclerosis (LOMS). OBJECTIVE To investigate differences in disease characteristics and cognition in LOMS and adult-onset multiple sclerosis (AOMS) patients. METHODS Archival medical records and neuropsychological evaluations from an MS specialty center were reviewed. Differences in disease characteristics between 53 LOMS and 124 AOMS were compared using chi-square or analysis of variance (ANOVA). To investigate differences in cognitive functioning, age-adjusted standardized scores were compared via analysis of covariance (ANCOVA), using cardiac risk factors and disease duration as covariates. RESULTS Compared to AOMS, LOMS patients had significantly more cardiac risk factors, shorter disease duration, and shorter time to diagnosis. LOMS patients had similar Expanded Disability Status Scale scores as AOMS patients. LOMS patients demonstrated significantly more impairment on tasks of visual learning and memory, and working memory than AOMS patients. CONCLUSION Despite a shorter disease duration, LOMS and AOMS patients had similar levels of physical impairment. However, even after accounting for differences in disease duration and cardiac risk, LOMS patients showed a greater burden of cognitive impairment than AOMS patients, suggesting MS diagnosed later in life may progress faster due to the interaction between MS neuropathology and aging.
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Affiliation(s)
| | - Le H Hua
- Cleveland Clinic, Lou Ruvo Center for Brain Health, Las Vegas, NV, USA
| | - Justin B Miller
- Cleveland Clinic, Lou Ruvo Center for Brain Health, Las Vegas, NV, USA
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25
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Clinical and MRI predictors of cognitive decline in patients with relapsing-remitting multiple sclerosis: a 2-year longitudinal study. Mult Scler Relat Disord 2022; 65:103838. [DOI: 10.1016/j.msard.2022.103838] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 04/16/2022] [Accepted: 04/29/2022] [Indexed: 11/20/2022]
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Neurological Benefits, Clinical Challenges, and Neuropathologic Promise of Medical Marijuana: A Systematic Review of Cannabinoid Effects in Multiple Sclerosis and Experimental Models of Demyelination. Biomedicines 2022; 10:biomedicines10030539. [PMID: 35327341 PMCID: PMC8945692 DOI: 10.3390/biomedicines10030539] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Revised: 02/20/2022] [Accepted: 02/21/2022] [Indexed: 12/22/2022] Open
Abstract
Despite current therapeutic strategies for immunomodulation and relief of symptoms in multiple sclerosis (MS), remyelination falls short due to dynamic neuropathologic deterioration and relapses, leading to accrual of disability and associated patient dissatisfaction. The potential of cannabinoids includes add-on immunosuppressive, analgesic, neuroprotective, and remyelinative effects. This study evaluates the efficacy of medical marijuana in MS and its experimental animal models. A systematic review was conducted by a literature search through PubMed, ProQuest, and EBSCO electronic databases for studies reported since 2007 on the use of cannabidiol (CBD) and delta-9-tetrahydrocannabinol (THC) in MS and in experimental autoimmune encephalomyelitis (EAE), Theiler’s murine encephalomyelitis virus-induced demyelinating disease (TMEV-IDD), and toxin-induced demyelination models. Study selection and data extraction were performed by 3 reviewers, and 28 studies were selected for inclusion. The certainty of evidence was appraised using the Cochrane GRADE approach. In clinical studies, there was low- and moderate-quality evidence that treatment with ~1:1 CBD/THC mixtures as a nabiximols (Sativex®) oromucosal spray reduced numerical rating scale (NRS) scores for spasticity, pain, and sleep disturbance, diminished bladder overactivity, and decreased proinflammatory cytokine and transcription factor expression levels. Preclinical studies demonstrated decreases in disease severity, hindlimb stiffness, motor function, neuroinflammation, and demyelination. Other experimental systems showed the capacity of cannabinoids to promote remyelination in vitro and by electron microscopy. Modest short-term benefits were realized in MS responders to adjunctive therapy with CBD/THC mixtures. Future studies are recommended to investigate the cellular and molecular mechanisms of cannabinoid effects on MS lesions and to evaluate whether medical marijuana can accelerate remyelination and retard the accrual of disability over the long term.
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Mashayekhi F, Sadigh-Eteghad S, Naseri A, Asadi M, Abbasi Garravnd N, Talebi M. ApoE4-positive multiple sclerosis patients are more likely to have cognitive impairment: a cross-sectional study. Neurol Sci 2022; 43:1189-1196. [PMID: 34120271 DOI: 10.1007/s10072-021-05383-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2021] [Accepted: 06/04/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND Multiple sclerosis (MS) presents with a wide variety of symptoms, including cognitive dysfunction. Previous studies in terms of the possible function of the ApoE4 allele as a risk factor for cognitive dysfunction in MS patients were associated with conflicting results. The role of the ε4 isoform of apolipoprotein (ApoE4) was investigated in this study as a risk factor for cognitive dysfunction in MS patients. METHODS Mildly disabled relapsing-remitting MS (RRMS) patients were involved in this study. The neurocognitive assessment is conducted by the Minimal Assessment of Cognitive Function in MS (MACFIMS) battery. After determining the genotype, patients were divided into two groups of ApoE4-positive and ApoE4-negative groups, and cognitive findings were compared. RESULTS Seventy-one patients with a mean age of 31.43 ± 8.75 were involved in this study. Eleven out of 17 (64.70%) patients in the ApoE4-positive group had at least one impaired test, while this rate was 16 out of 54 (29.62%) in the ApoE4-negative group (p < 0.01). The rate of overall cognitive impairment (failure in ≥ 2 tests) was not statistically different between groups of the study (p = 0.75). Impairment in Paced Auditory Serial Addition Test (PASAT) task and also the mean score of Brief Visuospatial Memory Test-Revised (BVMT-R) tests were different between two groups (p = 0.01 and 0.02, respectively). CONCLUSION MS ApoE4-positive patients are more likely to have at least one impaired cognitive test, but there is a need for more studies with larger sample sizes and based on MS-specific cognitive tests to confirm these findings.
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Affiliation(s)
- Farshid Mashayekhi
- Neurosciences Research Center (NSRC), Tabriz University of Medical Sciences, 5166614756, Tabriz, Iran
| | - Saeed Sadigh-Eteghad
- Neurosciences Research Center (NSRC), Tabriz University of Medical Sciences, 5166614756, Tabriz, Iran
| | - Amirreza Naseri
- Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Milad Asadi
- Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | | | - Mahnaz Talebi
- Neurosciences Research Center (NSRC), Tabriz University of Medical Sciences, 5166614756, Tabriz, Iran.
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Wang Y, Li X, Ren F, Liu S, Ma W, Zhang Y, Qi Z, Yang J, Li H, Fu X, Wang H, Gao F. High-Frequency Cochlear Amplifier Dysfunction: A Dominating Contribution to the Cognitive-Ear Link. Front Aging Neurosci 2022; 13:767570. [PMID: 35069174 PMCID: PMC8770931 DOI: 10.3389/fnagi.2021.767570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 11/29/2021] [Indexed: 11/13/2022] Open
Abstract
Objective: The objective of this study was to investigate the role of the high-frequency cochlear dysfunction in the cognitive-ear link.Methods: Seventy-four presbycusis patients (PC group) and seventy-one age-, sex-, and education-level matched normal hearing controls (NH group) were recruited in this study. Participants underwent a battery of cognitive tests estimated by Montreal Cognitive Assessment (MoCA), Stroop Color-Word Interference Test (Stroop), Symbol Digit Modalities Test (SDMT), Auditory Verbal Learning Test (AVLT), and Trail-Making Test (TMT-A and B), as well as auditory tests including distortion product otoacoustic emission (DPOAE), pure tone (PT) thresholds, and speech reception thresholds (SRT). Data were analyzed using the factor analysis, partial correlation analysis, multiple linear regression models, and mediation models.Results: Distortion product otoacoustic emission detection amplitudes and PT thresholds performed worse gradually from low to high frequencies in both the NH and PC groups. High-frequency DPOAE (H-DPOAE) was significantly correlated with cognitive domains in the PC group (AVLT: r = 0.30, p = 0.04; SDMT: r = 0.36, p = 0.01; Stroop: r = –0.32, p = 0.03; TMT-A: r = –0.40, p = 0.005; TMT-B: r = –0.34, p = 0.02). Multiple linear regression models showed that H-DPOAE predicted cognitive impairment effectively for aspects of memory (R2 = 0.27, 95% CI, 0.03 to 1.55), attention (R2 = 0.32, 95% CI, –6.18 to –0.40), processing speed (R2 = 0.37, 95% CI, 0.20 to 1.64), and executive function (TMT-A: R2 = 0.34, 95% CI, –5.52 to 1.03; TMT-B: R2 = 0.29, 95% CI, –11.30 to –1.12). H-DPOAE directly affected cognition and fully mediated the relationship between pure tone average (PTA)/SRT and cognitive test scores, excluding MoCA.Conclusion: This study has demonstrated that the high-frequency cochlear amplifier dysfunction has a direct predictive effect on the cognitive decline and makes a large contribution to the cognitive-ear link.
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Affiliation(s)
- Yao Wang
- School of Life Sciences, Tiangong University, Tianjin, China
- School of Precision Instruments and Optoelectronics Engineering, Tianjin University, Tianjin, China
| | - Xiao Li
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- Department of Radiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Fuxin Ren
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- Department of Radiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Siqi Liu
- School of Life Sciences, Tiangong University, Tianjin, China
| | - Wen Ma
- Department of Otolaryngology, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Yue Zhang
- School of Life Sciences, Tiangong University, Tianjin, China
| | - Zhihang Qi
- School of Electrical and Electronic Engineering, Tiangong University, Tianjin, China
| | - Jing Yang
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- Department of Radiology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Honghao Li
- Department of Neurology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Xinxing Fu
- Beijing Institute of Otolaryngology, Otolaryngology-Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China
- Medical School, The University of Western Australia, Crawley, WA, Australia
| | - Huiquan Wang
- School of Life Sciences, Tiangong University, Tianjin, China
- *Correspondence: Huiquan Wang,
| | - Fei Gao
- Department of Radiology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, China
- Fei Gao,
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Validation of the Spanish-language version of the Montreal Cognitive Assessment as a screening test for cognitive impairment in multiple sclerosis. NEUROLOGÍA (ENGLISH EDITION) 2021; 37:726-734. [PMID: 34836843 DOI: 10.1016/j.nrleng.2019.11.007] [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] [Received: 07/11/2019] [Accepted: 11/04/2019] [Indexed: 11/22/2022] Open
Abstract
BACKGROUND The neuropsychological batteries traditionally used for the assessment of cognitive impairment (CI) in patients with multiple sclerosis are complex tests requiring a long time to administer. Simpler tests are needed to detect cognitive impairment in daily clinical practice. OBJECTIVE We aimed to evaluate the diagnostic validity and reliability of the Montreal Cognitive Assessment (MoCA) test as a screening tool for CI in patients with multiple sclerosis, as compared against the Brief Neuropsychological Battery. MATERIAL AND METHODS We recruited 52 patients with multiple sclerosis (61.5% women; mean age [standard deviation]: 41.7 [11.5] years). We analysed the reliability (internal consistency, interobserver reliability, and test-retest reliability), construct validity (factor analysis, Pearson correlation coefficient, and coefficient of determination), and criterion validity (ROC curve, sensitivity, specificity, total agreement, positive and negative predictive values, positive and negative likelihood ratios, and Fagan nomogram) of the MoCA test in this population. RESULTS The prevalence of CI was 21.2% according to findings from the Brief Neuropsychological Battery, and 25% according to the MoCA test. The MoCA test showed good internal consistency (Cronbach alpha, 0.822) and interobserver and test-retest reliability (intraclass correlation coefficient 0.80 and 0.96, respectively). The correlation coefficient between total Brief Neuropsychological Battery and MoCA test scores was 0.82. The optimal cut-off point on the ROC curve was 25-26, yielding 91% sensitivity and 93% specificity. CONCLUSION The MoCA test is a valid and reliable tool for screening for CI in patients with multiple sclerosis.
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Al-Falaki TA, Hamdan FB, Sheaheed NM. Assessment of cognitive functions in patients with multiple sclerosis. THE EGYPTIAN JOURNAL OF NEUROLOGY, PSYCHIATRY AND NEUROSURGERY 2021. [DOI: 10.1186/s41983-021-00383-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Abstract
Background
About 40–70% of patients with multiple sclerosis (MS) develop cognitive impairment (CI) throughout their life. We aim to study the influence of MS on cognitive changes. This is a case–control study of fifty patients with MS who met the revised 2017 Mc Donald Criteria and fifty age- and sex-matched healthy subjects. The Expanded Disability Status Scale (EDSS) was used to assess the degree of disability, and the Montreal Cognitive Assessment (MoCA) scoring system was used to assess cognitive function.
Results
MS patients show low total MoCA score than the controls. Total MoCA scores were lower in patients with CI versus those with intact cognition. CI was higher in those with a longer duration of illness and a high EDSS. MoCA was positively correlated with education level but negatively with EDSS and disease duration.
Conclusion
MoCA scale has optimal psychometric properties for routine clinical use in patients with MS, even in those with mild functional disability. The longer the disease duration and the higher the EDSS, the lower the MoCA score and the higher the education level, the higher the MoCA score. As for the profile of cognitive dysfunction in patients with MS, the domains most frequently failed by the patients were memory, attention, visuospatial learning, and language.
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Langdon DW, Tomic D, Penner IK, Calabrese P, Cutter G, Häring DA, Dahlke F, Kappos L. Baseline characteristics and effects of fingolimod on cognitive performance in patients with relapsing-remitting multiple sclerosis. Eur J Neurol 2021; 28:4135-4145. [PMID: 34431170 PMCID: PMC9292292 DOI: 10.1111/ene.15081] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 08/04/2021] [Accepted: 08/07/2021] [Indexed: 11/28/2022]
Abstract
Background and purpose Studies reporting the baseline determinants of cognitive performance and treatment effect on cognition in patients with multiple sclerosis (MS) are limited. We investigated the baseline correlates of cognition and the long‐term treatment effects of fingolimod 0.5 mg once daily on cognitive processing speed and attention in patients with relapsing‐remitting MS. Methods This post hoc analysis pooled data from the phase 3 FREEDOMS and FREEDOMS II trials (N = 1556). We assessed the correlation between baseline patient demographic and disease characteristics and baseline 3‐second Paced Auditory Serial Addition Test (PASAT‐3) scores (Spearman's rank test) and the changes from baseline in PASAT‐3 (mixed model repeated measures model) in the fingolimod and placebo (up to 24 months) or placebo‐fingolimod switched (from Month 24 up to 120 months) groups. Additionally, the predictive value of PASAT‐3 score for future disease outcomes was assessed (Cox or logistic regression models). Results Among the variables assessed, lower PASAT‐3 score at baseline correlated with higher disease burden (total brain volume, T2 lesion volume, and Expanded Disability Status Scale score), longer disease duration and older age (p < 0.0001 for all). Fingolimod significantly improved PASAT‐3 scores from baseline versus placebo at 6 (1.3; p = 0.0007), 12 (1.1; p = 0.0044) and 24 months (1.1; p = 0.0028), with a sustained effect (overall treatment effect p = 0.0012) up to 120 months. Improvements were seen regardless of baseline cognitive status (PASAT quartile). Baseline PASAT‐3 score was predictive of both clinical and magnetic resonance imaging measures of disease activity at Month 24 (p < 0.001 for all). Conclusion Early fingolimod treatment may offer long‐term cognitive benefit in patients with relapsing‐remitting MS.
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Affiliation(s)
- Dawn W Langdon
- Department of Psychology, Royal Holloway, University of London, Egham, UK
| | | | - Iris-Katharina Penner
- Medical Faculty, Department of Neurology, Heinrich Heine University, Düsseldorf, Germany.,COGITO Center for Applied Neurocognition and Neuropsychological Research, Düsseldorf, Germany
| | - Pasquale Calabrese
- Neuropsychology and Behavioral Neurology Unit, Division of Cognitive and Molecular Neuroscience, University of Basel, Switzerland
| | - Gary Cutter
- Department of Biostatistics, University of Alabama, Birmingham, AL, USA
| | | | | | - Ludwig Kappos
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) and MS Center, Neurology, Departments of Head, Spine and Neuromedicine and Clinical Research, University Hospital and University of Basel, Spitalstrasse 2, Basel, Schweiz, 4031, Switzerland
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32
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Giedraitiene N, Drukteiniene E, Kizlaitiene R, Cimbalas A, Asoklis R, Kaubrys G. Cognitive Decline in Multiple Sclerosis Is Related to the Progression of Retinal Atrophy and Presence of Oligoclonal Bands: A 5-Year Follow-Up Study. Front Neurol 2021; 12:678735. [PMID: 34326806 PMCID: PMC8315759 DOI: 10.3389/fneur.2021.678735] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Accepted: 05/14/2021] [Indexed: 11/13/2022] Open
Abstract
Background: Brain atrophy, which is associated with cognitive impairment and retinal nerve fiber layer (RNFL) atrophy, is the main biomarker of neurodegeneration in multiple sclerosis (MS). However, data on the relationship between inflammatory markers, such as oligoclonal bands (OCBs) in the cerebrospinal fluid (CSF), and cognition, RNFL atrophy, and brain atrophy are scarce. The aim of this study was to assess the influence of RNFL thickness, brain atrophy markers, intrathecal OCBs, and the immunoglobulin G (IgG) index on cognitive decline over a 5-year period in patients with MS. Methods: This prospective, single-center, observational cohort study included 49 patients with relapsing MS followed up over 5 years. At baseline, the patients underwent brain magnetic resonance imaging (MRI). Cognitive evaluation was performed using the Brief International Cognitive Assessment for MS (BICAMS), and RNFL thickness was assessed using optical coherence tomography (OCT). OCBs and IgG levels in the CSF were evaluated at baseline. The BICAMS, OCT, and MRI findings were re-evaluated after 5 years. Results: A significant reduction in information processing speed, visual learning, temporal RNFL thickness, the Huckman index, and third ventricle mean diameter was found in all 49 patients with relapsing MS over the observation period (p < 0.05). Of the patients, 63.3% had positive OCBs and 59.2% had elevated IgG indices. The atrophy of the temporal segment and papillomacular bundle and the presence of OCBs were significantly related to a decline in information processing speed in these patients (p < 0.05). However, brain atrophy markers were not found to be significant on the general linear models. Conclusions: RNFL atrophy and the presence of OCBs were related to cognitive decline in patients with MS over a 5-year follow-up period, thereby suggesting their utility as potential biomarkers of cognitive decline in MS.
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Affiliation(s)
- Natasa Giedraitiene
- Center of Neurology, Clinic of Neurology and Neurosurgery, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
| | - Egle Drukteiniene
- Center of Eye Diseases, Clinic of Ear, Nose, Throat, and Eye Diseases, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
| | - Rasa Kizlaitiene
- Center of Neurology, Clinic of Neurology and Neurosurgery, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
| | - Andrius Cimbalas
- Center of Eye Diseases, Clinic of Ear, Nose, Throat, and Eye Diseases, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
| | - Rimvydas Asoklis
- Center of Eye Diseases, Clinic of Ear, Nose, Throat, and Eye Diseases, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
| | - Gintaras Kaubrys
- Center of Neurology, Clinic of Neurology and Neurosurgery, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania
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Sulpizio V, Berchicci M, Di Russo F, Galati G, Grasso MG, Iosa M, Lucci G, Paolucci S, Ripani M, Pitzalis S. Effect of Exoskeleton-Assisted Rehabilitation Over Prefrontal Cortex in Multiple Sclerosis Patients: A Neuroimaging Pilot Study. Brain Topogr 2021; 34:651-663. [PMID: 34181126 PMCID: PMC8384810 DOI: 10.1007/s10548-021-00858-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 06/13/2021] [Indexed: 01/05/2023]
Abstract
Application of a passive and fully articulated exoskeleton, called Human Body Posturizer (HBP), has been demonstrated to improve mobility, response accuracy and ambulation in multiple sclerosis (MS) patients. By using functional magnetic imaging (fMRI) during a visuomotor discrimination task, we performed a pilot study to evaluate the effect of HBP over the neural correlates of motor and cognitive functions which are typically impaired in MS patients. Specifically, we tested the effect of a 6-week multidisciplinary rehabilitation intervention on two groups of MS patients: a control group who followed a standard physiotherapeutic rehabilitation protocol, and an experimental group who used the HBP during physical exercises in addition to the standard protocol. We found that, after treatment, the experimental group exhibited a significant lower activity (as compared to the control group) in the inferior frontal gyrus. This post-treatment activity reduction can be explained as a retour to a normal range, being the amount of iFg activity observed in the experimental patients very similar to that observed in healthy subjects. These findings indicate that the use of HBP during rehabilitation intervention normalizes the prefrontal activity, mitigating the cortical hyperactivity associated to MS.
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Affiliation(s)
- V Sulpizio
- Department of Cognitive and Motor Rehabilitation and Neuroimaging, Santa Lucia Foundation (IRCCS Fondazione Santa Lucia), Rome, Italy. .,Department of Psychology, Sapienza" University of Rome, Via dei Marsi, 78, 00185, Rome, Italy.
| | - M Berchicci
- Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy
| | - F Di Russo
- Department of Cognitive and Motor Rehabilitation and Neuroimaging, Santa Lucia Foundation (IRCCS Fondazione Santa Lucia), Rome, Italy.,Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy
| | - G Galati
- Department of Cognitive and Motor Rehabilitation and Neuroimaging, Santa Lucia Foundation (IRCCS Fondazione Santa Lucia), Rome, Italy.,Department of Psychology, Sapienza" University of Rome, Via dei Marsi, 78, 00185, Rome, Italy
| | - M G Grasso
- Department of Cognitive and Motor Rehabilitation and Neuroimaging, Santa Lucia Foundation (IRCCS Fondazione Santa Lucia), Rome, Italy
| | - M Iosa
- Department of Cognitive and Motor Rehabilitation and Neuroimaging, Santa Lucia Foundation (IRCCS Fondazione Santa Lucia), Rome, Italy.,Department of Psychology, Sapienza" University of Rome, Via dei Marsi, 78, 00185, Rome, Italy
| | - G Lucci
- Department of Human Sciences, Marconi University, Rome, Italy
| | - S Paolucci
- Department of Cognitive and Motor Rehabilitation and Neuroimaging, Santa Lucia Foundation (IRCCS Fondazione Santa Lucia), Rome, Italy
| | - M Ripani
- Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy
| | - Sabrina Pitzalis
- Department of Cognitive and Motor Rehabilitation and Neuroimaging, Santa Lucia Foundation (IRCCS Fondazione Santa Lucia), Rome, Italy.,Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy
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Monaghan AS, Huisinga JM, Peterson DS. The application of principal component analysis to characterize gait and its association with falls in multiple sclerosis. Sci Rep 2021; 11:12811. [PMID: 34140612 PMCID: PMC8211858 DOI: 10.1038/s41598-021-92353-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2021] [Accepted: 06/09/2021] [Indexed: 02/05/2023] Open
Abstract
People with multiple sclerosis (PwMS) demonstrate gait impairments that are related to falls. However, redundancy exists when reporting gait outcomes. This study aimed to develop an MS-specific model of gait and examine differences between fallers and non-fallers. 122 people with relapsing-remitting MS and 45 controls performed 3 timed up-and-go trials wearing inertial sensors. 21 gait parameters were entered into a principal component analysis (PCA). The PCA-derived gait domains were compared between MS fallers (MS-F) and MS non-fallers (MS-NF) and correlated to cognitive, clinical, and quality-of-life outcomes. Six distinct gait domains were identified: pace, rhythm, variability, asymmetry, anterior-posterior dynamic stability, and medial-lateral dynamic stability, explaining 79.15% of gait variance. PwMS exhibited a slower pace, larger variability, and increased medial-lateral trunk motion compared to controls (p < 0.05). The pace and asymmetry domains were significantly worse (i.e., slower and asymmetrical) in MS-F than MS-NF (p < 0.001 and p = 0.03, respectively). Fear of falling, cognitive performance, and functional mobility were associated with a slower gait (p < 0.05). This study identified a six-component, MS-specific gait model, demonstrating that PwMS, particularly fallers, exhibit deficits in pace and asymmetry. Findings may help reduce redundancy when reporting gait outcomes and inform interventions targeting specific gait domains.
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Affiliation(s)
- Andrew S. Monaghan
- grid.215654.10000 0001 2151 2636College of Health Solutions, Arizona State University, 425 N 5th St., Phoenix, AZ 85282 USA
| | - Jessie M. Huisinga
- grid.412016.00000 0001 2177 6375Department of Physical Therapy and Rehabilitation Science, University of Kansas Medical Center, Kansas City, USA
| | - Daniel S. Peterson
- grid.215654.10000 0001 2151 2636College of Health Solutions, Arizona State University, 425 N 5th St., Phoenix, AZ 85282 USA ,grid.416818.20000 0004 0419 1967Phoenix VA Health Care Center, Phoenix, AZ USA
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35
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Botchorishvili N, Shiukashvili N, Mikeladze N, Dzagnidze A, Mikava N, Tighashvili M, Janelidze M. Validity and reliability of the Georgian-language brief international cognitive assessment for multiple sclerosis (BICAMS). BMC Neurol 2021; 21:218. [PMID: 34107913 PMCID: PMC8188683 DOI: 10.1186/s12883-021-02249-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Accepted: 05/17/2021] [Indexed: 11/18/2022] Open
Abstract
Background Cognitive impairment is one of the common features of multiple sclerosis (MS). Despite high prevalence, cognitive decline is often overlooked by neurologists. The Brief International Cognitive Assessment for MS (BICAMS) was therefore introduced by the international expert committee as a brief and effective tool for the assessment and monitoring of cognitive functions in patients with MS. The validity and reliability of BICAMS have been demonstrated in many countries. Our aim was to validate the BICAMS in Georgian patients with MS. Methods A total of 68 patients with MS and 68 matched controls were assessed by the Georgian-language BICAMS. All healthy controls and seven patients were re-evaluated with identical tests to assess retest reliability. Results In comparison to healthy controls, patients with MS performed significantly worse on all tests in the assessment battery. Test–retest reliability measures were good for all tests. The prevalence of cognitive impairment in patients with MS was 43%. Conclusion The Georgian-language BICAMS is a reliable and valid battery for the assessment of cognitive function in patients with MS.
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Affiliation(s)
| | - Nino Shiukashvili
- School of Natural Sciences and Medicine, Ilia State University, Kakutsa Cholokashvili avenue 3/5, 0162, Tbilisi, Georgia
| | - Nina Mikeladze
- Tbilisi State Medical University, Vazha Pshavela avenue 33, 0177, Tbilisi, Georgia
| | - Ann Dzagnidze
- Tbilisi State Medical University, Vazha Pshavela avenue 33, 0177, Tbilisi, Georgia
| | - Nino Mikava
- S. Khechinashvili University Hospital, Chavchavadze avenue 33, 0179, Tbilisi, Georgia
| | - Maia Tighashvili
- S. Khechinashvili University Hospital, Chavchavadze avenue 33, 0179, Tbilisi, Georgia
| | - Marina Janelidze
- Tbilisi State Medical University, Vazha Pshavela avenue 33, 0177, Tbilisi, Georgia
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Abstract
OBJECTIVE To investigate the impact of cognitive impairment on spoken language produced by speakers with multiple sclerosis (MS) with and without dysarthria. METHOD Sixty speakers comprised operationally defined groups. Speakers produced a spontaneous speech sample to obtain speech timing measures of speech rate, articulation rate, and silent pause frequency and duration. Twenty listeners judged the overall perceptual severity of the samples using a visual analog scale that ranged from no impairment to severe impairment (speech severity). A 2 × 2 factorial design examined main and interaction effects of dysarthria and cognitive impairment on speech timing measures and speech severity in individuals with MS. Each speaker group with MS was further compared to a healthy control group. Exploratory regression analyses examined relationships between cognitive and biopsychosocial variables and speech timing measures and perceptual judgments of speech severity, for speakers with MS. RESULTS Speech timing was significantly slower for speakers with dysarthria compared to speakers with MS without dysarthria. Silent pause durations also significantly differed for speakers with both dysarthria and cognitive impairment compared to MS speakers without either impairment. Significant interactions between dysarthria and cognitive factors revealed comorbid dysarthria and cognitive impairment contributed to slowed speech rates in MS, whereas dysarthria alone impacted perceptual judgments of speech severity. Speech severity was strongly related to pause duration. CONCLUSIONS The findings suggest the nature in which dysarthria and cognitive symptoms manifest in objective, acoustic measures of speech timing and perceptual judgments of severity is complex.
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Meca-Lallana V, Gascón-Giménez F, Ginestal-López RC, Higueras Y, Téllez-Lara N, Carreres-Polo J, Eichau-Madueño S, Romero-Imbroda J, Vidal-Jordana Á, Pérez-Miralles F. Cognitive impairment in multiple sclerosis: diagnosis and monitoring. Neurol Sci 2021; 42:5183-5193. [PMID: 33796947 PMCID: PMC8642331 DOI: 10.1007/s10072-021-05165-7] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2020] [Accepted: 03/04/2021] [Indexed: 11/28/2022]
Abstract
INTRODUCTION Cognitive impairment (CI) has a prevalence of 45-70% in people with multiple sclerosis (MS), producing a negative impact on their quality of life, personal life, and work. Early detection of CI has become an important aspect to be considered for an adequate follow-up, to optimize social adaptation and to implement specific cognitive rehabilitation strategies. The aim of this work is to propose a suitable cognitive evaluation of patients with MS based on available and efficient tools for diagnosis and monitoring purposes well supported by literature review and clinical experience. METHODS A multidisciplinary panel of professionals from the field of neurology, neuropsychology, and neuroimaging performed a literature review of the topic of cognitive impairment assessment. This was combined and completed with their clinical experience to produce a set of recommendations. RESULTS Some limitations to cognitive evaluation are described: shortage of time and resources during the neurology consultation, scarceness or absence of specialized professionals' availability, importance of tests adaptation, and doubts about its use to define therapeutic efficiency. We recommend a baseline and annual screening evaluation, and we suggest a baseline and periodic neuropsychological assessment. The latter ought to change to a recommendation with the presence of either positive screening test, or subjective to cognitive complaints, screening-test results and patient or family report mismatch, or in specific social/work situations. CONCLUSIONS Cognitive evaluation should be performed on all patients diagnosed with MS and throughout follow-up. It is necessary to support the creation of multidisciplinary MS teams to optimize the evaluation and follow-up of MS patients.
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Affiliation(s)
- Virginia Meca-Lallana
- Unidad de Enfermedades Desmielinizantes, Servicio de Neurología, Hospital Universitario de La Princesa, Madrid, Spain.
| | - Francisco Gascón-Giménez
- Unidad de Esclerosis Múltiple, Servicio de Neurología, Hospital Clínico Universitario, Valencia, Spain
| | | | - Yolanda Higueras
- Instituto de Investigación Sanitaria del Gregorio Marañón, Hospital Gregorio Marañón, Madrid, Spain
| | - Nieves Téllez-Lara
- Servicio de Neurología, Hospital Clínico Universitario, Valladolid, Spain
| | - Joan Carreres-Polo
- Servicio de Radiología, Hospital Universitari i Politècnic La Fe de Valencia, Valencia, Spain
| | - Sara Eichau-Madueño
- Servicio de Neurología, Hospital Universitario Virgen Macarena, Sevilla, Spain
| | - Jesús Romero-Imbroda
- Servicio de Neurología, Hospital Regional Universitario de Málaga, Málaga, Spain
| | - Ángela Vidal-Jordana
- Servicio de Neurología-Neuroinmunología, Centro de Esclerosis Múltiple de Cataluña (Cemcat), Hospital Universitario Vall d'Hebron, Barcelona, Spain
| | - Francisco Pérez-Miralles
- Unitat de Neuroimmunología - CSUR Servicio de Neurología Hospital Universitari i Politècnic La Fe de Valencia, Valencia, Spain
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Winter M, Tallantyre EC, Brice TAW, Robertson NP, Jones DK, Chamberland M. Tract-specific MRI measures explain learning and recall differences in multiple sclerosis. Brain Commun 2021; 3:fcab065. [PMID: 33959710 PMCID: PMC8088789 DOI: 10.1093/braincomms/fcab065] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Revised: 02/07/2021] [Accepted: 03/01/2021] [Indexed: 12/19/2022] Open
Abstract
Cognitive difficulties are common and a key concern for people with multiple sclerosis. Advancing knowledge of the role of white matter pathology in multiple sclerosis-related cognitive impairment is essential as both occur early in the disease with implications for early intervention. Consequently, this cross-sectional study asked whether quantifying the relationships between lesions and specific white matter structures could better explain co-existing cognitive differences than whole brain imaging measures. Forty participants with relapse-onset multiple sclerosis underwent cognitive testing and MRI at 3 Tesla. They were classified as cognitively impaired (n = 24) or unimpaired (n = 16) and differed across verbal fluency, learning and recall tasks corrected for intelligence and education (corrected P-values = 0.007-0.04). The relationships between lesions and white matter were characterized across six measures: conventional voxel-based T2 lesion load, whole brain tractogram load (lesioned volume/whole tractogram volume), whole bundle volume, bundle load (lesioned volume/whole bundle volume), Tractometry (diffusion-tensor and high angular resolution diffusion measures sampled from all bundle streamlines) and lesionometry (diffusion measures sampled from streamlines traversing lesions only). The tract-specific measures were extracted from corpus callosum segments (genu and isthmus), striato-prefrontal and -parietal pathways, and the superior longitudinal fasciculi (sections I, II and III). White matter measure-task associations demonstrating at least moderate evidence against the null hypothesis (Bayes Factor threshold < 0.2) were examined using independent t-tests and covariate analyses (significance level P < 0.05). Tract-specific measures were significant predictors (all P-values < 0.05) of task-specific clinical scores and diminished the significant effect of group as a categorical predictor in Story Recall (isthmus bundle load), Figure Recall (right striato-parietal lesionometry) and Design Learning (left superior longitudinal fasciculus III volume). Lesion load explained the difference in List Learning, whereas Letter Fluency was not associated with any of the imaging measures. Overall, tract-specific measures outperformed the global lesion and tractogram load measures. Variation in regional lesion burden translated to group differences in tract-specific measures, which in turn, attenuated differences in individual cognitive tasks. The structural differences converged in temporo-parietal regions with particular influence on tasks requiring visuospatial-constructional processing. We highlight that measures quantifying the relationships between tract-specific structure and multiple sclerosis lesions uncovered associations with cognition masked by overall tract volumes and global lesion and tractogram loads. These tract-specific white matter quantifications show promise for elucidating the relationships between neuropathology and cognition in multiple sclerosis.
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Affiliation(s)
- Mia Winter
- Department of Clinical Neuropsychology, University Hospital of Wales, Cardiff, CF14 4XW, UK
- Cardiff University Brain Research Imaging Centre, Cardiff University, Cardiff, CF24 4HQ, UK
| | - Emma C Tallantyre
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University School of Medicine, Cardiff, CF14 4XN, UK
- Helen Durham Centre for Neuroinflammation, University Hospital of Wales, Cardiff, CF14 4XW, UK
| | - Thomas A W Brice
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University School of Medicine, Cardiff, CF14 4XN, UK
| | - Neil P Robertson
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University School of Medicine, Cardiff, CF14 4XN, UK
- Helen Durham Centre for Neuroinflammation, University Hospital of Wales, Cardiff, CF14 4XW, UK
| | - Derek K Jones
- Cardiff University Brain Research Imaging Centre, Cardiff University, Cardiff, CF24 4HQ, UK
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria 3000, Australia
| | - Maxime Chamberland
- Cardiff University Brain Research Imaging Centre, Cardiff University, Cardiff, CF24 4HQ, UK
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Microglial Pruning: Relevance for Synaptic Dysfunction in Multiple Sclerosis and Related Experimental Models. Cells 2021; 10:cells10030686. [PMID: 33804596 PMCID: PMC8003660 DOI: 10.3390/cells10030686] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2021] [Revised: 03/12/2021] [Accepted: 03/17/2021] [Indexed: 12/11/2022] Open
Abstract
Microglia, besides being able to react rapidly to a wide range of environmental changes, are also involved in shaping neuronal wiring. Indeed, they actively participate in the modulation of neuronal function by regulating the elimination (or “pruning”) of weaker synapses in both physiologic and pathologic processes. Mounting evidence supports their crucial role in early synaptic loss, which is emerging as a hallmark of several neurodegenerative diseases, including multiple sclerosis (MS) and its preclinical models. MS is an inflammatory, immune-mediated pathology of the white matter in which demyelinating lesions may cause secondary neuronal death. Nevertheless, primitive grey matter (GM) damage is emerging as an important contributor to patients’ long-term disability, since it has been associated with early and progressive cognitive decline (CD), which seriously worsens the quality of life of MS patients. Widespread synapse loss even in the absence of demyelination, axon degeneration and neuronal death has been demonstrated in different GM structures, thus raising the possibility that synaptic dysfunction could be an early and possibly independent event in the neurodegenerative process associated with MS. This review provides an overview of microglial-dependent synapse elimination in the neuroinflammatory process that underlies MS and its experimental models.
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Mayo CD, Harrison L, Attwell-Pope K, Stuart-Hill L, Gawryluk JR. A pilot study of the impact of an exercise intervention on brain structure, cognition, and psychosocial symptoms in individuals with relapsing-remitting multiple sclerosis. Pilot Feasibility Stud 2021; 7:65. [PMID: 33685527 PMCID: PMC7938608 DOI: 10.1186/s40814-021-00806-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2020] [Accepted: 02/22/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Despite pharmacological treatment, many individuals with multiple sclerosis (MS) continue to experience symptoms and medication side effects. Exercise holds promise for MS, but changes in brain structure following exercise have not been thoroughly investigated, and important cognitive and psychosocial variables are rarely primary outcomes. The aim of this pilot study was to investigate whether a 12-week exercise intervention would improve white matter integrity in the brain, or cognition, symptoms of fatigue, and depressed mood for individuals with relapsing-remitting MS (RRMS). METHOD Thirteen participants completed 12 weeks of speeded walking. Baseline and post-intervention testing included 3T diffusion tensor imaging (DTI) to assess white matter and neuropsychological testing to assess cognition, fatigue, and mood. Image pre-processing and analyses were performed in functional magnetic resonance imaging of the Brain Software Library. RESULTS Post-intervention, there were no significant changes in white matter compared to baseline. Post-intervention, individuals with RRMS performed significantly better on the Symbol Digit Modalities Test (SDMT), reported fewer perceived memory problems, and endorsed less fatigue. Performance was not significantly different on Trails or Digit Span, and there were no significant changes in reports of mood. CONCLUSION Although 12 weeks of speeded walking did not improve white matter integrity, exercise may hold promise for managing some symptoms of RRMS in the context of this study population.
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Affiliation(s)
- Chantel D Mayo
- Department of Psychology, University of Victoria, PO Box 1700, STN CSC, Victoria, British Columbia, Canada
- Institute on Aging and Lifelong Health, University of Victoria, Victoria, British Columbia, Canada
| | | | | | - Lynneth Stuart-Hill
- School of Exercise Science, Physical Health and Education, University of Victoria, Victoria, British Columbia, Canada
| | - Jodie R Gawryluk
- Department of Psychology, University of Victoria, PO Box 1700, STN CSC, Victoria, British Columbia, Canada.
- Institute on Aging and Lifelong Health, University of Victoria, Victoria, British Columbia, Canada.
- Division of Medical Sciences, University of Victoria, Victoria, British Columbia, Canada.
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Doskas T, Vavougios GD, Karampetsou P, Kormas C, Synadinakis E, Stavrogianni K, Sionidou P, Serdari A, Vorvolakos T, Iliopoulos I, Vadikolias Κ. Neurocognitive impairment and social cognition in multiple sclerosis. Int J Neurosci 2021; 132:1229-1244. [PMID: 33527857 DOI: 10.1080/00207454.2021.1879066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
PURPOSE/AIM OF THE STUDY The impairment of neurocognitive functions occurs in all subtypes of multiple sclerosis, even from the earliest stages of the disease. Commonly reported manifestations of cognitive impairment include deficits in attention, conceptual reasoning, processing efficiency, information processing speed, memory (episodic and working), verbal fluency (language), and executive functions. Multiple sclerosis patients also suffer from social cognition impairment, which affects their social functioning. The objective of the current paper is to assess the effect of neurocognitive impairment and its potential correlation with social cognition performance and impairment in multiple sclerosis patients. MATERIALS AND METHODS An overview of the available-to-date literature on neurocognitive impairment and social cognition performance in multiple sclerosis patients by disease subtype was performed. RESULTS It is not clear if social cognition impairment occurs independently or secondarily to neurocognitive impairment. There are associations of variable strengths between neurocognitive and social cognition deficits and their neural basis is increasingly investigated. CONCLUSIONS The prompt detection of neurocognitive predictors of social cognition impairment that may be applicable to all multiple sclerosis subtypes and intervention are crucial to prevent further neural and social cognition decline in multiple sclerosis patients.
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Affiliation(s)
- Triantafyllos Doskas
- Department of Neurology, Athens Naval Hospital, Athens, Greece.,Department of Neurology, University Hospital of Alexandroupolis, Alexandroupolis, Greece
| | | | | | | | | | | | | | - Aspasia Serdari
- Department of Psychiatry, University Hospital of Alexandroupolis, Alexandroupolis, Greece
| | - Theofanis Vorvolakos
- Department of Psychiatry, University Hospital of Alexandroupolis, Alexandroupolis, Greece
| | - Ioannis Iliopoulos
- Department of Neurology, University Hospital of Alexandroupolis, Alexandroupolis, Greece
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Differential Diagnosis of Cognitive Decline in Elderly Individuals With Multiple Sclerosis. Cogn Behav Neurol 2021; 33:294-300. [PMID: 33264159 DOI: 10.1097/wnn.0000000000000252] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Due to increasingly improved disability outcomes, and the resultant significantly improved life span, of the multiple sclerosis (MS) population, questions regarding cognitive aging and the prevalence of comorbid Alzheimer disease (AD) have emerged. We describe neuropsychological and MRI-based changes that occurred in an 84-year-old MS patient with comorbid amnestic mild cognitive impairment (a precursor to AD) and cerebrovascular pathology. The neuropsychological examination demonstrated impairment in cognitive processing speed as well as in verbal and visual memory-domains that are potentially affected by any, or all, of the three co-existing diseases. Amyloid-based PET imaging showed increased focal uptake within the gray matter of the occipital lobe. We highlight how these clinical and radiologic observations can inform future research that could elucidate interactions between MS, a probable AD diagnosis, and cerebrovascular pathology in elderly individuals with MS. A comprehensive neuropsychological examination of multiple cognitive domains of individuals with MS may aid in the differential diagnosis of late-in-life cognitive decline.
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Jakimovski D, Benedict RHB, Weinstock-Guttman B, Ozel O, Fuchs TA, Lincoff N, Bergsland N, Dwyer MG, Zivadinov R. Visual deficits and cognitive assessment of multiple sclerosis: confounder, correlate, or both? J Neurol 2021; 268:2578-2588. [PMID: 33590339 DOI: 10.1007/s00415-021-10437-5] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Revised: 01/29/2021] [Accepted: 01/30/2021] [Indexed: 01/07/2023]
Abstract
BACKGROUND The relationship between visual impairment and cognitive performance in multiple sclerosis (MS) remains poorly understood. OBJECTIVE To determine associations between visual acuity and optical coherence tomography (OCT) measures with cognitive performance of MS patients and healthy controls (HCs). METHODS 141 MS patients (with and without MS optic neuritis; MSON) and 50 HCs underwent neuropsychological, visual, and OCT testing. California Verbal Learning Test (CVLT-II), Brief Visuospatial Memory Test (BVMT-R), and Symbol Digit Modalities Test (SDMT) were used. Patients with test performance below - 1.5 standard deviations of the mean HCs scores were labeled as cognitive impairment. Visual ability was assessed with 100%, 2.5%, and 1.25% low-contrast letter acuity (LCLA) charts. OCT-derived peripapillary retinal nerve fiber layer (pRNFL) thickness, macular volume (MV), macular ganglion cell inner plexiform (mGCIP) thickness (as a sum of GC and IP layers), and macular inner nuclear layer (mINL) were computed. RESULTS 100% and 2.5% LCLA associated with SDMT in MS and HCs (p < 0.001; and p < 0.012, respectively). In MSON patients, visually demanding tests were explained by pRNFL and macular volume for SDMT (β = 0.172, p = 0.039 and β = 0.27, p = 0.001) and MV for BVMT-R (β = 0.21, p = 0.012). In non-MSON, only mINL was predictor of CVLT-II. pRNFL and MV predicted cognitive impairment with an accuracy of 72.2% (Negelkerke R2 = 0.234). These findings were driven by associations within the progressive MS subgroup. HC's SDMT performance was explained by mGCIP (β = 0.316, p = 0.001). CONCLUSIONS Both LCLA and OCT-based measures (pRNFL and macular volume) were associated with MS cognitive performance. OCT-based measures were also significant predictors of cognitive status in MS patients. mGCIP associated with cognitive performance in HCs.
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Affiliation(s)
- Dejan Jakimovski
- Department of Neurology, Buffalo Neuroimaging Analysis Center (BNAC), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 14203, USA. .,Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA.
| | - Ralph H B Benedict
- Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
| | - Bianca Weinstock-Guttman
- Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
| | - Osman Ozel
- Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
| | - Tom A Fuchs
- Department of Neurology, Buffalo Neuroimaging Analysis Center (BNAC), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 14203, USA.,Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
| | - Norah Lincoff
- Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
| | - Niels Bergsland
- Department of Neurology, Buffalo Neuroimaging Analysis Center (BNAC), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 14203, USA.,Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA.,IRCCS, Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy
| | - Michael G Dwyer
- Department of Neurology, Buffalo Neuroimaging Analysis Center (BNAC), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 14203, USA.,Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA
| | - Robert Zivadinov
- Department of Neurology, Buffalo Neuroimaging Analysis Center (BNAC), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 14203, USA.,Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA.,Center for Biomedical Imaging at Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA
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Gray Matter Atrophy in the Cortico-Striatal-Thalamic Network and Sensorimotor Network in Relapsing-Remitting and Primary Progressive Multiple Sclerosis. Neuropsychol Rev 2021; 31:703-720. [PMID: 33582965 DOI: 10.1007/s11065-021-09479-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Accepted: 01/04/2021] [Indexed: 02/05/2023]
Abstract
Gray matter atrophy in multiple sclerosis (MS) is thought to be associated with disability and cognitive impairment, but previous studies have sometimes had discordant results, and the atrophy patterns of relapsing-remitting multiple sclerosis (RRMS) and primary progressive multiple sclerosis (PPMS) remain to be clarified. We conducted a meta-analysis using anisotropic effect-size-based algorithms (AES-SDM) to identify consistent findings from whole-brain voxel-based morphometry (VBM) studies of gray matter volume (GMV) in 924 RRMS patients and 204 PPMS patients. This study is registered with PROSPERO (number CRD42019121319). Compared with healthy controls, RRMS and PPMS patients showed gray matter atrophy in the cortico-striatal-thalamic network, sensorimotor network, and bilateral insula. RRMS patients had a larger GMV in the left insula, cerebellum, right precentral gyrus, and bilateral putamen as well as a smaller GMV in the bilateral cingulate, caudate nucleus, right thalamus, superior temporal gyrus and left postcentral gyrus than PPMS patients. The disease duration, Expanded Disability Status Scale score, Paced Auditory Serial Addition Test z-score, and T2-weighted lesion load were associated with specific gray matter regions in RRMS or PPMS. Alterations in the cortico-striatal-thalamic networks, sensorimotor network, and insula may be involved in the common pathogenesis of RRMS and PPMS. The deficits in the cingulate gyrus and caudate nucleus are more apparent in RRMS than in PPMS. The more severe cerebellum atrophy in PPMS may be a brain feature associated with its neurological manifestations. These imaging biomarkers provide morphological evidence for the pathophysiology of MS and should be verified in future research.
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Alirezaei M, Forouzannia SM, Yarahmadi P, Sahraian MA, Owji M, Bidadian M, Ghadiri F, Naser Moghadasi A. Demographic features, behavioral measures, and clinical factors as predictors of cognitive function in patients with multiple sclerosis. Mult Scler Relat Disord 2021; 49:102758. [PMID: 33567391 DOI: 10.1016/j.msard.2021.102758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 12/12/2020] [Accepted: 12/30/2020] [Indexed: 11/16/2022]
Abstract
BACKGROUND One of the most concerning features that involves 40-70% of patients with multiple sclerosis (MS) is cognitive impairment. Moreover, it affects various aspects of patients' life. In this regard, this study was conducted to find independent predictors of cognitive function. METHOD We performed a cross-sectional analysis on 92 patients chosen from MS clinic of Sina hospital, Iran. After completing a general questionnaire of demographic and various clinical features, the included participants (patients with RRMS) underwent neuropsychological assessment using Minimal Assessment of Cognitive function in Multiple Sclerosis (MACFIMS), Expanded disability Status Scale (EDSS), Beck Depression Inventory II (BDI-II), and National American Adult Reading Test (NAART). An un-weighted average of MACFIMS subscales z-scores was reported as cognitive index. In order to find the association between CI and different factors, each variable was entered in a simple regression model first. Then, a univariate multiple regression model was invoked to evaluate the predictors of cognitive index in patients. RESULTS Simple regression for cognitive index of 92 patients (86% female) with a mean age of 33.4±7.6 years old suffering of RRMS for 6.8±4.8 years revealed patients with history of former smoking (p=0.001), sole visual symptoms as the presentation sign of the study (β=-0.341, p=0.001), lower EDSS score (β=-0.299, p=0.005), higher NAART score (β=0.416, p≤0.0001), and college education (p=0.001), had better cognitive function in our study population. Such factors including age, educational status, BDI-II score, EDSS score, and disease duration were fixed and the other significant factors entered once separately and then simultaneously in the univariate multiple linear regression model. It was revealed that former smoking (β=-0.372, p≤0.0001), NAART (β=0.304, p=0.002), and EDSS (β= -0.185, P=0.045) are associated significantly with the cognitive function of patients with multiple sclerosis. CONCLUSION This study demonstrated NAART, as a proxy of premorbid intelligence, history of former smoking, and EDSS score may have effects on cognitive function in MS. Future studies need to be invoked for the evaluation of the causality relation of these factors.
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Affiliation(s)
- Mohammad Alirezaei
- Multiple Sclerosis Research Center; Neuroscience institute; Tehran University of Medical Sciences; Tehran; Iran
| | - Seyed Mohammad Forouzannia
- Multiple Sclerosis Research Center; Neuroscience institute; Tehran University of Medical Sciences; Tehran; Iran
| | - Pourya Yarahmadi
- Multiple Sclerosis Research Center; Neuroscience institute; Tehran University of Medical Sciences; Tehran; Iran
| | - Mohammad Ali Sahraian
- Multiple Sclerosis Research Center; Neuroscience institute; Tehran University of Medical Sciences; Tehran; Iran
| | - Mahsa Owji
- Multiple Sclerosis Research Center; Neuroscience institute; Tehran University of Medical Sciences; Tehran; Iran
| | - Maryam Bidadian
- Department of psychology, School of humanities, Tarbiat Modares University, Tehran, Iran
| | - Fereshteh Ghadiri
- Multiple Sclerosis Research Center; Neuroscience institute; Tehran University of Medical Sciences; Tehran; Iran
| | - Abdorreza Naser Moghadasi
- Multiple Sclerosis Research Center; Neuroscience institute; Tehran University of Medical Sciences; Tehran; Iran.
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Sadigh-Eteghad S, Abbasi Garravnd N, Feizollahi M, Talebi M. The Expanded Disability Status Scale Score and Demographic Indexes Are Correlated with the Severity of Cognitive Impairment in Multiple Sclerosis Patients. J Clin Neurol 2021; 17:113-120. [PMID: 33480206 PMCID: PMC7840333 DOI: 10.3988/jcn.2021.17.1.113] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 10/25/2020] [Accepted: 10/29/2020] [Indexed: 01/25/2023] Open
Abstract
Background and Purpose Cognitive impairment (CI) is a common symptom of multiple sclerosis (MS). Although demographic and clinical factors contribute to MS-dependent CI, previous findings have been inconsistent. This study aimed to identify the cognitive domains that are impaired in MS patients, and to determine the impacts of the Expanded Disability Status Scale (EDSS) score and other clinical and demographic factors on them domains. Methods This study enrolled 115 MS patients. Cognitive performance was assessed using the Minimal Assessment of Cognitive Function in Multiple Sclerosis (MACFIMS) battery. CI severity was assessed based on the number of impaired tasks in the MACFIMS battery, with impairment in two or more tasks defined as CI cases. Correlation analysis was used to determine whether factors including current age, age at disease onset, EDSS score, disease duration, relapse rate, and education level affect the severity of CI. Results The scores on the Paced Auditory Serial Addition Test and Delis-Kaplan Executive Function System were the most and least affected, respectively. EDSS score (r=0.438, p<0.001), current age (r=0.393, p<0.001), and disease duration (r=0.486, p<0.001) were positively correlated with CI severity, whereas education level (r=−0.527, p<0.001) had a negative correlation with CI severity, and age at disease onset and relapse rate were not correlated with CI severity (r=0.150 and p=0.107, and r=0.052 and p=0.530, respectively). However, all variables (except EDSS score) significantly predicted CI severity in a multiple regression model (p<0.001, r=0.668). Conclusions Information processing speed and working memory were the most commonly affected cognitive domains in the present MS patients. CI severity had strong positive correlations with current age, EDSS score, and disease duration, and a negative correlation with education level. The relapse rate and age at disease onset were not correlated with CI severity.
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Affiliation(s)
- Saeed Sadigh-Eteghad
- Neurosciences Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.,Department of Persian Medicine, Faculty of Persian Medicine, Tabriz University of Medical Sciences, Tabriz, Iran
| | | | - Mahsa Feizollahi
- Neurosciences Research Center, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mahnaz Talebi
- Neurosciences Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
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Yazgan YZ, Tarakcı E, Gungor F, Kurtuncu M. Understanding the impact of cognitive impairment and disease severity on activities of daily living in MS patients with different disability levels. Clin Neurol Neurosurg 2020; 200:106398. [PMID: 33310534 DOI: 10.1016/j.clineuro.2020.106398] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2020] [Revised: 11/23/2020] [Accepted: 11/24/2020] [Indexed: 11/19/2022]
Abstract
OBJECTIVE Physical impairments seen in people with multiple sclerosis (PwMS) affect the level of independence in activities of daily living (ADL). However, physical problems are insufficient to explain some debilitating conditions experienced by PwMS in daily life, especially in activities that require high cognitive ability. The aim of this study was to investigate the impact of cognitive impairment and disease severity on ADL in MS patients with different disability levels. METHODS Seventy PwMS were enrolled and divided into three groups according to their disability status. Cognitive functions were assessed with the Loewenstein Occupational Therapy Cognitive Assessment (LOTCA) and independence level in ADL was assessed with Functional Independence Measure (FIM). RESULTS There were significant differences between groups in FIM and FIM motor (FIMm) scores (p < 0.001), however no significant differences were found between groups in terms of FIM cognitive (FIMc) and LOTCA scores (p = 0.195 and p = 0.348 respectively). There was a moderate positive correlation between FIM and LOTCA total scores (p < 0.001) for overall sample. While there was a low correlation between LOTCA and FIMm (p = 0.008), high correlation was found between LOTCA and FIMc (p < 0.001). CONCLUSION Although most of the limitations in ADL can be explained by the severity of the disability in MS, the ability to perform ADL including cognitive skills was found to be similar for all disability levels. Cognitive problems should be taken into consideration as well as motor problems in the process of planning treatment programs for PwMS with any levels of disability.
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Affiliation(s)
- Yonca Zenginler Yazgan
- Istanbul University-Cerrahpasa, Faculty of Health Sciences, Division of Physiotherapy and Rehabilitation, Istanbul, Turkey.
| | - Ela Tarakcı
- Istanbul University-Cerrahpasa, Faculty of Health Sciences, Division of Physiotherapy and Rehabilitation, Istanbul, Turkey.
| | - Feray Gungor
- Istanbul University-Cerrahpasa, Faculty of Health Sciences, Division of Physiotherapy and Rehabilitation, Istanbul, Turkey.
| | - Murat Kurtuncu
- Istanbul University, Istanbul Faculty of Medicine, Department of Neurology, Istanbul, Turkey.
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Gaspari M, Zini F, Stecchi S. Enhancing cognitive rehabilitation in multiple sclerosis with a disease-specific tool. Disabil Rehabil Assist Technol 2020; 18:313-326. [PMID: 33259243 DOI: 10.1080/17483107.2020.1849432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
PURPOSE Computerised rehabilitation programs can be used to address cognitive deficits typically caused by multiple sclerosis (MS). However, there are still doubts on their effectiveness, due to mixed results obtained in clinical trials. The objective of this paper is to improve cognitive rehabilitation (CR) practices in MS, by presenting and assessing a MS-specific cognitive rehabilitation software. METHODS We conducted a detailed analysis of how CR is carried out in practice in MS rehabilitation centres. From the analysis, we elicited a reference CR process, and identified the essential features a software supporting the process should have. We designed and implemented MS-rehab, a novel MS-specific computerised rehabilitation system having the identified features. We experimented MS-rehab in a pilot study involving eight MS patients. To highlight the improvement with respect to the state of the art, we compared MS-rehab with available professional tools selected using well defined criteria. RESULTS This paper has three main contributions: (1) the identification of a set of essential features a computerised tool for CR in MS should provide; (2) MS-rehab, a novel CR system designed for MS therapists and patients, which embodies innovative MS specific features; (3) the assessment of MS-rehab efficacy in a pilot study with MS patients. CONCLUSIONS The availability of a MS-specific CR system like MS-rehab fosters the design of more rigorous clinical studies on the effectiveness of computerised rehabilitation in MS. MS-rehab demonstrated its potential and innovativeness as a tool for cognitive rehabilitation in MS.IMPLICATIONS FOR REHABILITATIONComputerized tools for cognitive rehabilitation (CR) in multiple sclerosis (MS) can be improved by a set of MS-specific features.The availability of advanced home-based cognitive rehabilitation mechanisms is fundamental for supporting standardized cognitive rehabilitation protocols in MS.A MS-specific CR system has given promising results in a pilot study involving MS patients.Hardly do state-of-the-art professional tools include all the required MS specific features.
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Affiliation(s)
- Mauro Gaspari
- Department of Computer Science and Engineering, University of Bologna, Bologna, Italy
| | - Floriano Zini
- Faculty of Computer Science, Free University of Bozen-Bolzano, Bolzano, Italy
| | - Sergio Stecchi
- Department of Computer Science and Engineering, University of Bologna, Bologna, Italy
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Altered phase and nonphase EEG activity expose impaired maintenance of a spatial-object attentional focus in multiple sclerosis patients. Sci Rep 2020; 10:20721. [PMID: 33244155 PMCID: PMC7691340 DOI: 10.1038/s41598-020-77690-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Accepted: 11/04/2020] [Indexed: 11/09/2022] Open
Abstract
Some of the anatomical and functional basis of cognitive impairment in multiple sclerosis (MS) currently remains unknown. In particular, there is scarce knowledge about modulations in induced EEG (nonphase activity) for diverse frequency bands related to attentional deficits in this pathology. The present study analyzes phase and nonphase alpha and gamma modulations in 26 remitting-relapsing multiple sclerosis patients during their participation in the attention network test compared with twenty-six healthy controls (HCs) matched in sociodemographic variables. Behavioral results showed that the MS group exhibited general slowing, suggesting impairment in alerting and orienting networks, as has been previously described in other studies. Time–frequency analysis of EEG revealed that the gamma band was related to the spatial translation of the attentional focus, and the alpha band seemed to be related to the expectancy mechanisms and cognitive processing of the target. Moreover, phase and nonphase modulations differed in their psychophysiological roles and were affected differently in the MS and HC groups. In summary, nonphase modulations can unveil hidden cognitive mechanisms for phase analysis and complete our knowledge of the neural basis of cognitive impairment in multiple sclerosis pathology.
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50
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Sjøgård M, Wens V, Van Schependom J, Costers L, D'hooghe M, D'haeseleer M, Woolrich M, Goldman S, Nagels G, De Tiège X. Brain dysconnectivity relates to disability and cognitive impairment in multiple sclerosis. Hum Brain Mapp 2020; 42:626-643. [PMID: 33242237 PMCID: PMC7814767 DOI: 10.1002/hbm.25247] [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: 12/16/2019] [Revised: 09/10/2020] [Accepted: 09/29/2020] [Indexed: 12/27/2022] Open
Abstract
The pathophysiology of cognitive dysfunction in multiple sclerosis (MS) is still unclear. This magnetoencephalography (MEG) study investigates the impact of MS on brain resting-state functional connectivity (rsFC) and its relationship to disability and cognitive impairment. We investigated rsFC based on power envelope correlation within and between different frequency bands, in a large cohort of participants consisting of 99 MS patients and 47 healthy subjects. Correlations were investigated between rsFC and outcomes on disability, disease duration and 7 neuropsychological scores within each group, while stringently correcting for multiple comparisons and possible confounding factors. Specific dysconnections correlating with MS-induced physical disability and disease duration were found within the sensorimotor and language networks, respectively. Global network-level reductions in within- and cross-network rsFC were observed in the default-mode network. Healthy subjects and patients significantly differed in their scores on cognitive fatigue and verbal fluency. Healthy subjects and patients showed different correlation patterns between rsFC and cognitive fatigue or verbal fluency, both of which involved a shift in patients from the posterior default-mode network to the language network. Introducing electrophysiological rsFC in a regression model of verbal fluency and cognitive fatigue in MS patients significantly increased the explained variance compared to a regression limited to structural MRI markers (relative thalamic volume and lesion load). This MEG study demonstrates that MS induces distinct changes in the resting-state functional brain architecture that relate to disability, disease duration and specific cognitive functioning alterations. It highlights the potential value of electrophysiological intrinsic rsFC for monitoring the cognitive impairment in patients with MS.
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Affiliation(s)
- Martin Sjøgård
- Laboratoire de Cartographie fonctionnelle du Cerveau, UNI-ULB Neuroscience Institute, Université libre de Bruxelles (ULB), Brussels, Belgium
| | - Vincent Wens
- Laboratoire de Cartographie fonctionnelle du Cerveau, UNI-ULB Neuroscience Institute, Université libre de Bruxelles (ULB), Brussels, Belgium.,Department of Functional Neuroimaging, Service of Nuclear Medicine, CUB-Hôpital Erasme, Université libre de Bruxelles (ULB), Brussels, Belgium
| | - Jeroen Van Schependom
- Center for Neurosciences, Vrije Universiteit Brussel, Brussels, Belgium.,National MS Center, Belgium
| | - Lars Costers
- Center for Neurosciences, Vrije Universiteit Brussel, Brussels, Belgium
| | - Marie D'hooghe
- Center for Neurosciences, Vrije Universiteit Brussel, Brussels, Belgium.,National MS Center, Belgium
| | - Miguel D'haeseleer
- Center for Neurosciences, Vrije Universiteit Brussel, Brussels, Belgium.,National MS Center, Belgium
| | - Mark Woolrich
- Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, UK
| | - Serge Goldman
- Laboratoire de Cartographie fonctionnelle du Cerveau, UNI-ULB Neuroscience Institute, Université libre de Bruxelles (ULB), Brussels, Belgium.,Department of Functional Neuroimaging, Service of Nuclear Medicine, CUB-Hôpital Erasme, Université libre de Bruxelles (ULB), Brussels, Belgium
| | - Guy Nagels
- Center for Neurosciences, Vrije Universiteit Brussel, Brussels, Belgium.,National MS Center, Belgium.,St Edmund Hall, University of Oxford, Oxford, UK
| | - Xavier De Tiège
- Laboratoire de Cartographie fonctionnelle du Cerveau, UNI-ULB Neuroscience Institute, Université libre de Bruxelles (ULB), Brussels, Belgium.,Department of Functional Neuroimaging, Service of Nuclear Medicine, CUB-Hôpital Erasme, Université libre de Bruxelles (ULB), Brussels, Belgium
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