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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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Rocca MA, D’Amore G, Valsasina P, Tedone N, Meani A, Filippi M. 2.5-Year changes of connectivity dynamism are relevant for physical and cognitive deterioration in multiple sclerosis. Mult Scler 2024; 30:546-557. [PMID: 38372039 PMCID: PMC11010569 DOI: 10.1177/13524585241231155] [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: 11/20/2023] [Revised: 01/11/2024] [Accepted: 01/20/2024] [Indexed: 02/20/2024]
Abstract
BACKGROUND In MS, functional connectivity (FC) dynamism may influence disease evolution. OBJECTIVES The objective is to assess time-varying functional connectivity (TVFC) changes over time at 2.5-year follow-up in MS patients according to physical and cognitive worsening. METHODS We collected 3T magnetic resonance imaging (MRI) for TVFC assessment (performed using sliding-window analysis of centrality) and clinical evaluations at baseline and 2.5-year follow-up from 28 healthy controls and 129 MS patients. Of these, 79 underwent baseline and follow-up neuropsychological assessment. At 2.5 years, physical/cognitive worsening was defined according to disability/neuropsychological score changes. RESULTS At follow-up, 25/129 (19.3%) MS patients worsened physically and 14/79 (17.7%) worsened cognitively. At baseline, MS patients showed reduced TVFC versus controls. At 2.5-year follow-up, no TVFC changes were detected in controls. Conversely, TVFC decreased over time in parieto-temporal regions in stable MS patients and in default-mode network in worsened MS. In physically worsened MS, basal ganglia TVFC reductions were also found. Reduced TVFC over time in the putamen in physically worsened and reduced TVFC in the precuneus in cognitively worsened were significant versus stable MS. DISCUSSION At 2.5-year follow-up, default-mode network TVFC reductions were found in worsening MS. Moreover, reduced deep gray matter TVFC characterized physically worsened patients, whereas precuneus involvement characterized cognitively worsened MS patients.
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Affiliation(s)
- Maria A Rocca
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy/
- Vita-Salute San Raffaele University, Milan, Italy
| | - Giulia D’Amore
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Paola Valsasina
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Nicolò Tedone
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Alessandro Meani
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy/Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
- Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy
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Meira T, Coelho A, Onat S, Ruano L, Cerqueira JJ. One-year regional brain volume changes as potential predictors of cognitive function in multiple sclerosis: a pilot study. Ir J Med Sci 2024; 193:957-965. [PMID: 37773245 PMCID: PMC10961282 DOI: 10.1007/s11845-023-03528-x] [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: 08/17/2023] [Accepted: 09/12/2023] [Indexed: 10/01/2023]
Abstract
BACKGROUND The most reliable magnetic resonance imaging (MRI) marker of cognitive dysfunction in multiple sclerosis (MS) is brain atrophy. However, 1-year volumetric changes prior to cognitive assessment were never studied as potential predictors of cognition, which we aim to assess with this pilot work. METHODS Twenty-two MS patients were submitted to a baseline measure of 83 regional brain volumes with MRI and re-evaluated 1 year later; they were also tested with the Brief International Cognitive Assessment for MS (BICAMS): sustained attention and processing speed were examined with the Symbol Digit Modalities Test (SDMT), verbal and visuo-spatial learning and memory with the learning trials from the California Verbal Learning Test-II (CVLT) and the Brief Visuo-spatial Memory Test-revised (BVMT), respectively. Controlling for age, sex, and years of education, a multivariate linear regression model was created for each cognitive score at 1-year follow-up in a backward elimination manner, considering cross-sectional regional volumes and 1-year volume changes as potential predictors. RESULTS Decreases in the volumes of the left amygdala and the right lateral orbitofrontal cortex in the year prior to assessment were identified as possible predictors of worse performance in verbal memory (P = 0.009) and visuo-spatial memory (P = 0.001), respectively, independently of cross-sectional brain regional volumes at time of testing. CONCLUSION Our work reveals novel 1-year regional brain volume changes as potential predictors of cognitive deficits in MS. This suggests a possible role of these regions in such deficits and might contribute to uncover cognitively deteriorating patients, whose detection is still unsatisfying in clinical practice.
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Affiliation(s)
- Torcato Meira
- Life and Health Sciences Research Institute (ICVS), School of Medicine, Campus de Gualtar, University of Minho, 4710-057, Braga, Portugal
- Neuroradiology Department, Hospital de Braga, Rua da Comunidades Lusíadas 133, Braga, Portugal
| | - Ana Coelho
- Life and Health Sciences Research Institute (ICVS), School of Medicine, Campus de Gualtar, University of Minho, 4710-057, Braga, Portugal
| | - Seyda Onat
- Life and Health Sciences Research Institute (ICVS), School of Medicine, Campus de Gualtar, University of Minho, 4710-057, Braga, Portugal
| | - Luís Ruano
- Neurology Department, Centro Hospitalar de Entre Douro e Vouga, Rua Dr. Cândido Pinho 5, 4520-211, Santa Maria da Feira, Portugal
- EPIUnit, Institute of Public Health, University of Porto, Rua das Taipas 135, 4050-600, Porto, Portugal
| | - João José Cerqueira
- Life and Health Sciences Research Institute (ICVS), School of Medicine, Campus de Gualtar, University of Minho, 4710-057, Braga, Portugal.
- Neurology Department, Hospital de Braga, Rua da Comunidades Lusíadas 133, Braga, Portugal.
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Mistri D, Tedone N, Biondi D, Vizzino C, Pagani E, Rocca MA, Filippi M. Cognitive phenotypes in multiple sclerosis: mapping the spectrum of impairment. J Neurol 2024; 271:1571-1583. [PMID: 38007408 DOI: 10.1007/s00415-023-12102-5] [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: 09/20/2023] [Revised: 10/30/2023] [Accepted: 11/05/2023] [Indexed: 11/27/2023]
Abstract
BACKGROUND Available criteria for cognitive phenotypes in multiple sclerosis (MS) do not consider the severity of impairment. OBJECTIVES To identify cognitive phenotypes with varying degrees of impairment in MS patients and describe their demographic, clinical and MRI characteristics. METHODS Two hundred and forty-three MS patients and 158 healthy controls underwent neuropsychological tests to assess memory, attention, and executive function. For each domain, mild impairment was defined as performing 1.5 standard deviations below the normative mean on two tests, while the threshold for significant impairment was 2 standard deviations. Patients were classified into cognitive phenotypes based on severity of the impairment (mild/significant) and number of domains affected (one/more). RESULTS Five cognitive phenotypes emerged: Preserved cognition (PC; 56%), Mild Single-Domain Impairment (MSD; 15%), Mild Multi-Domain Impairment (MMD; 9%), Significant Single-Domain Impairment (SSD; 12%), Significant Multi-Domain Impairment (SMD; 8%). Compared with PC, MSD patients were older, had longer disease duration (DD) and higher T2-hyperintense lesion volume (LV; all p ≤ 0.02); MMD patients were older, had longer DD, higher disability, higher T2 LV and lower thalamic volume (all p ≤ 0.01); SSD patients had longer DD and lower gray matter cortical volume, thalamic, caudate, putamen and accumbens volumes (all p ≤ 0.04); and SMD patients were older, had longer DD, higher disability and more extensive structural damage in all brain regions explored (all p ≤ 0.03), except white matter and amygdala volumes. CONCLUSIONS We identified five cognitive phenotypes with graded levels of impairment. These phenotypes were characterized by distinct demographic, clinical and MRI features, indicating potential variations in the neural substrates of dysfunction throughout disease stages.
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Affiliation(s)
- Damiano Mistri
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy
| | - Nicolò Tedone
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy
| | - Diana Biondi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy
| | - Carmen Vizzino
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy
| | - Elisabetta Pagani
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy
| | - Maria A Rocca
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy.
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
- Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
- Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy.
- Vita-Salute San Raffaele University, Milan, Italy.
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Colato E, Prados F, Stutters J, Bianchi A, Narayanan S, Arnold DL, Wheeler-Kingshott C, Barkhof F, Ciccarelli O, Chard DT, Eshaghi A. Networks of microstructural damage predict disability in multiple sclerosis. J Neurol Neurosurg Psychiatry 2023; 94:992-1003. [PMID: 37468305 DOI: 10.1136/jnnp-2022-330203] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Accepted: 06/13/2023] [Indexed: 07/21/2023]
Abstract
BACKGROUND Network-based measures are emerging MRI markers in multiple sclerosis (MS). We aimed to identify networks of white (WM) and grey matter (GM) damage that predict disability progression and cognitive worsening using data-driven methods. METHODS We analysed data from 1836 participants with different MS phenotypes (843 in a discovery cohort and 842 in a replication cohort). We calculated standardised T1-weighted/T2-weighted (sT1w/T2w) ratio maps in brain GM and WM, and applied spatial independent component analysis to identify networks of covarying microstructural damage. Clinical outcomes were Expanded Disability Status Scale worsening confirmed at 24 weeks (24-week confirmed disability progression (CDP)) and time to cognitive worsening assessed by the Symbol Digit Modalities Test (SDMT). We used Cox proportional hazard models to calculate predictive value of network measures. RESULTS We identified 8 WM and 7 GM sT1w/T2w networks (of regional covariation in sT1w/T2w measures) in both cohorts. Network loading represents the degree of covariation in regional T1/T2 ratio within a given network. The loading factor in the anterior corona radiata and temporo-parieto-frontal components were associated with higher risks of developing CDP both in the discovery (HR=0.85, p<0.05 and HR=0.83, p<0.05, respectively) and replication cohorts (HR=0.84, p<0.05 and HR=0.80, p<0.005, respectively). The decreasing or increasing loading factor in the arcuate fasciculus, corpus callosum, deep GM, cortico-cerebellar patterns and lesion load were associated with a higher risk of developing SDMT worsening both in the discovery (HR=0.82, p<0.01; HR=0.87, p<0.05; HR=0.75, p<0.001; HR=0.86, p<0.05 and HR=1.27, p<0.0001) and replication cohorts (HR=0.82, p<0.005; HR=0.73, p<0.0001; HR=0.80, p<0.005; HR=0.85, p<0.01 and HR=1.26, p<0.0001). CONCLUSIONS GM and WM networks of microstructural changes predict disability and cognitive worsening in MS. Our approach may be used to identify patients at greater risk of disability worsening and stratify cohorts in treatment trials.
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Affiliation(s)
- Elisa Colato
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Ferran Prados
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- Centre for Medical Image Computing (CMIC), Department of Computer Science, University College London, London, UK
- Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London, UK
- e-Health Center, Universitat Oberta de Catalunya, Barcelona, Spain
| | - Jonathan Stutters
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Alessia Bianchi
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Sridar Narayanan
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Québec, Canada
| | - Douglas L Arnold
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Québec, Canada
| | - Claudia Wheeler-Kingshott
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- Brain Connectivity Centre, IRCCS Mondino Foundation, Pavia, Italy
- Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | - Frederik Barkhof
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London, UK
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, location Vrije Universiteit, Amsterdam, Netherlands
- Institute for Health Research (NIHR), University College London Hospitals (UCLH) Biomedical Research Centre (BRC), London, UK
| | - Olga Ciccarelli
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- Institute for Health Research (NIHR), University College London Hospitals (UCLH) Biomedical Research Centre (BRC), London, UK
| | - Declan T Chard
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- Institute for Health Research (NIHR), University College London Hospitals (UCLH) Biomedical Research Centre (BRC), London, UK
| | - Arman Eshaghi
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
- Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London, UK
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Stein C, O'Keeffe F, Strahan O, McGuigan C, Bramham J. Systematic review of cognitive reserve in multiple sclerosis: Accounting for physical disability, fatigue, depression, and anxiety. Mult Scler Relat Disord 2023; 79:105017. [PMID: 37806233 DOI: 10.1016/j.msard.2023.105017] [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: 06/21/2023] [Revised: 08/03/2023] [Accepted: 09/17/2023] [Indexed: 10/10/2023]
Abstract
BACKGROUND Cognitive reserve (CR) describes an individual's ability to adapt cognitive processes in response to brain atrophy, and has been reported to explain some of the discrepancy between brain atrophy and cognitive functioning outcomes in multiple sclerosis (MS). CR in MS is typically investigated by assessing an individual's pre- and/or post-diagnosis enrichment, which includes premorbid intellectual abilities, educational level, occupational attainment, and engagement in cognitively enriching leisure activities. Common MS symptoms (e.g., physical disability, fatigue, depression, anxiety) may impact an individual's ability to engage in various CR-enhancing activities post-diagnosis. It is unknown to what extent these MS symptoms have been taken into account in MS research on CR. As such, we identified whether studies assessed CR using measures of premorbid or continuous (including post-diagnosis) enrichment. For studies investigating continuous enrichment, we identified whether studies accounted for MS-impact, which MS symptoms were accounted for, and how, and whether studies acknowledged MS symptoms as potential CR-confounds. METHODS Three electronic databases (PsycINFO, PubMed, Scopus) were searched. Eligible studies investigated CR proxies (e.g., estimated premorbid intellectual abilities, vocabulary knowledge, educational level, occupational attainment, cognitively enriching leisure activities, or a combination thereof) in relation to cognitive, brain atrophy or connectivity, or daily functioning outcomes in adult participants with MS. We extracted data on methods and measures used, including any MS symptoms taken into account. Objectives were addressed using frequency analyses and narrative synthesis. RESULTS 115 studies were included in this review. 47.8% of all studies investigated continuous enrichment. Approximately half of the studies investigating continuous enrichment accounted for potential MS-impact in their analyses, with only 31.0% clearly identifying that they treated MS symptoms as potential confounds for CR-enhancement. A narrative synthesis of studies which investigated CR with and without controlling statistically for MS-impact indicated that accounting for MS symptoms may impact findings concerning the protective nature of CR. CONCLUSION Fewer than half of the studies investigating CR proxies in MS involved continuous enrichment. Just over half of these studies accounted for potential MS-impact in their analyses. To achieve a more complete and accurate understanding of CR in MS, future research should investigate both pre-MS and continuous enrichment. In doing so, MS symptoms and their potential impact should be considered. Establishing greater consistency and rigour across CR research in MS will be crucial to produce an evidence base for the development of interventions aimed at improving quality of care and life for pwMS.
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Affiliation(s)
- Clara Stein
- University College Dublin, Belfield, Dublin 4, Ireland.
| | - Fiadhnait O'Keeffe
- University College Dublin, Belfield, Dublin 4, Ireland; St. Vincent's University Hospital, Elm Park, Dublin 4, Ireland
| | - Orla Strahan
- University College Dublin, Belfield, Dublin 4, Ireland
| | - Christopher McGuigan
- University College Dublin, Belfield, Dublin 4, Ireland; St. Vincent's University Hospital, Elm Park, Dublin 4, Ireland
| | - Jessica Bramham
- University College Dublin, Belfield, Dublin 4, Ireland; St. Vincent's University Hospital, Elm Park, Dublin 4, Ireland
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Jakimovski D, Zivadinov R, Weinstock Z, Fuchs TA, Bartnik A, Dwyer MG, Bergsland N, Weinstock-Guttman B, Benedict RHB. Cortical thickness and cognition in older people with multiple sclerosis. J Neurol 2023; 270:5223-5234. [PMID: 37634161 DOI: 10.1007/s00415-023-11945-2] [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: 03/09/2023] [Revised: 07/05/2023] [Accepted: 08/14/2023] [Indexed: 08/29/2023]
Abstract
BACKGROUND The structural changes associated with cognitive performance in older people with multiple sclerosis (PwMS; age ≥ 50 years old) remain unknown. OBJECTIVE To determine the relationship between whole-brain (WBV), thalamus as the largest deep gray matter nuclei, and cortex-specific volume measurements with both cognitive impairment and numerical performance in older PwMS. The main hypothesis is that cognitive impairment (CI) in older PwMS is explained by cortical thinning in addition to global and thalamic neurodegenerative changes. METHODS A total of 101 older PwMS underwent cognitive and neuroimaging assessment. Cognitive assessment included tests established as sensitive in MS samples (Minimal Assessment of Cognitive Function in MS; MACFIMS), as well as those tests often utilized in Alzheimer's dementia studies (Wechsler's Memory Scale, Boston Naming Test, Visual Motor Integration and language). Cognitive impairment (CI) was based on -1.5 standard deviations in at least 2 cognitive domains (executive function, learning and memory, spatial processing, processing speed and working memory and language) when compared to healthy controls. WBV and thalamic volume were calculated using SIENAX/FIRST and cortical thickness using FreeSurfer. Differences in cortical thickness between CI and cognitively preserved (CP) were determined using age, sex, education, depression and WBV-adjusted analysis of covariance (ANCOVA). The relationship between domain-specific cognitive performance and cortical thickness was analyzed by linear regression models adjusted for age, sex, education, depression, WBV and thalamic volume. Benjamini-Hochberg-adjusted p-values lower than 0.05 were considered significant. RESULTS The average age of the study population was 62.6 (5.9) years old. After adjustment, CI PwMS had significantly thinner left fusiform (p = 0.0003), left inferior (p = 0.0032), left transverse (p = 0.0013), and bilateral superior temporal gyri (p = 0.002 and p = 0.0011) when compared to CP PwMS. After adjusting for age, sex, education, depression WBV, and thalamic volume, CI status was additionally predicted by the thickness of the left fusiform (p = 0.001) and left cuneus gyri (p = 0.004). After the adjustment, SDMT scores were additionally associated with left fusiform gyrus (p < 0.001) whereas letter-based verbal fluency performance with left pars opercularis gyrus (p < 0.001). CONCLUSION In addition to global and thalamic neurodegenerative changes, the presence of CI in older PwMS is additionally explained by the thickness of multiple cortical regions.
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Affiliation(s)
- Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High St., Buffalo, NY, 14203, USA.
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High St., 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
| | - Zachary Weinstock
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High St., Buffalo, NY, 14203, USA
| | - Tom A Fuchs
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High St., Buffalo, NY, 14203, USA
| | - Alexander Bartnik
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High St., 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, 100 High St., Buffalo, NY, 14203, 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, 100 High St., Buffalo, NY, 14203, USA
| | - Bianca Weinstock-Guttman
- Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 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, State University of New York, Buffalo, NY, USA
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8
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Lenne B, Donze C, Massot C, Degraeve B. Impact of physical activity, physical fitness and exercises on cognitive impairment in patients with multiple sclerosis: A review of evidence and underlying mechanisms. Rev Neurol (Paris) 2023:S0035-3787(23)01037-8. [PMID: 37798163 DOI: 10.1016/j.neurol.2023.06.003] [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: 01/26/2023] [Revised: 06/05/2023] [Accepted: 06/10/2023] [Indexed: 10/07/2023]
Abstract
Cognitive impairment in persons with MS (pwMS) occurs commonly, early and independently of other clinical features of the disease. MS-related cognitive impairment is mainly characterized by weakening of information processing speed, working memory and episodic memory. Much evidence, based on both neuropsychological and neuroimaging outcomes, highlights successful cognitive rehabilitation interventions. In this context, promotion of physical activity and exercise training could be a dual, motor and cognitive, rehabilitation method. The aim of this article is, firstly, to review existing evidence regarding the effects of exercise on cognition among pwMS, and secondly, to explore the possible mechanisms of action of the cognitive-motor coupling.
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Affiliation(s)
- B Lenne
- Lille Catholic University, Lille, France; Groupement des hôpitaux de l'institut catholique de Lille (GHICL), Neurology Department, Lille, France.
| | - C Donze
- Lille Catholic University, Lille, France; Groupement des hôpitaux de l'institut catholique de Lille (GHICL), Neurology Department, Lille, France.
| | - C Massot
- Lille Catholic University, Lille, France; Groupement des hôpitaux de l'institut catholique de Lille (GHICL), Neurology Department, Lille, France; Université Polytechnique Hauts-de-France (UPHF), LAMIH, Valenciennes, France; CNRS, UMR 8201, Valenciennes, France.
| | - B Degraeve
- Lille Catholic University, Lille, France.
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de la Serna E, Montejo L, Solé B, Castro-Fornieles J, Camprodon-Boadas P, Sugranyes G, Rosa-Justicia M, Martinez-Aran A, Vieta E, Vicent-Gil M, Serra-Blasco M, Cardoner N, Torrent C. Effectiveness of enhancing cognitive reserve in children, adolescents and young adults at genetic risk for psychosis: Study protocol for a randomized controlled trial. SPANISH JOURNAL OF PSYCHIATRY AND MENTAL HEALTH 2023; 16:184-191. [PMID: 33631372 DOI: 10.1016/j.rpsm.2021.02.003] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Revised: 02/01/2021] [Accepted: 02/13/2021] [Indexed: 12/30/2022]
Abstract
BACKGROUND Offspring of patients diagnosed with bipolar disorder and schizophrenia (Off-BDSZ) have a high genetic risk of developing a mental illness. The aim of this project is to develop and investigate the efficacy of an intervention aimed at this population, based on the concept of cognitive reserve. METHODS This is a multicenter randomized trial with an experimental test-retest design study with control group. Two groups will be included: a community comparison group (CC) and a Off-BDSZ group. A total of 108 Off-BDSZ and 65 CC aged between 6 and 25 years will be recruited. Off-BDSZ participants will be randomized to receive either Cognitive Reserve EnhAncement ThErapy (CREATE) (n=54), or a supportive approach (n=54). The CC group will be assessed at baseline. The duration of the intervention will be 3 months, with 12 weekly group sessions. The primary outcome will be the improvement in CR measured according to change in the Cognitive Reserve Assessment Scale in Health (CRASH) and Cognitive Reserve scale for Adolescents (CORE-A). All participants will be blindly evaluated using clinical, cognitive and neuroimaging measures at baseline, at three months (after the psychological intervention), and at twelve-month follow-up after treatment completion. DISCUSSION The results will provide insight into whether the CREATE-Offspring version may enhance cognitive reserve (CR) in child, adolescent and young adult Off-BDSZ as well as advance knowledge about changes in clinical manifestations, neuropsychological performance and brain structure and function associated with improving CR. This novel and cost-effective intervention represents an advance in the framework of preventive interventions in mental health. TRIAL REGISTRATION Clinicaltrials.gov, NCT03722082. Registered on 26 October 2018.
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Affiliation(s)
- Elena de la Serna
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Department of Child and Adolescent Psychiatry and Psychology, Hospital Clinic of Barcelona 2017SGR881, Institut Clinic de Neurociències, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Spain
| | - Laura Montejo
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Barcelona Bipolar and Depressive Unit, Hospital Clinic of Barcelona, Institute of Neurosciences, University of Barcelona, IDIBAPS, Barcelona, Spain
| | - Brisa Solé
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Barcelona Bipolar and Depressive Unit, Hospital Clinic of Barcelona, Institute of Neurosciences, University of Barcelona, IDIBAPS, Barcelona, Spain
| | - Josefina Castro-Fornieles
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Department of Child and Adolescent Psychiatry and Psychology, Hospital Clinic of Barcelona 2017SGR881, Institut Clinic de Neurociències, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Spain.
| | - Patricia Camprodon-Boadas
- Department of Child and Adolescent Psychiatry and Psychology, Hospital Clinic of Barcelona 2017SGR881, Institut Clinic de Neurociències, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Spain
| | - Gisela Sugranyes
- Department of Child and Adolescent Psychiatry and Psychology, Hospital Clinic of Barcelona 2017SGR881, Institut Clinic de Neurociències, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Spain
| | - Mireia Rosa-Justicia
- Department of Child and Adolescent Psychiatry and Psychology, Hospital Clinic of Barcelona 2017SGR881, Institut Clinic de Neurociències, IDIBAPS, CIBERSAM, University of Barcelona, Barcelona, Spain
| | - Anabel Martinez-Aran
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Barcelona Bipolar and Depressive Unit, Hospital Clinic of Barcelona, Institute of Neurosciences, University of Barcelona, IDIBAPS, Barcelona, Spain
| | - Eduard Vieta
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Barcelona Bipolar and Depressive Unit, Hospital Clinic of Barcelona, Institute of Neurosciences, University of Barcelona, IDIBAPS, Barcelona, Spain.
| | - Muriel Vicent-Gil
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Depression and Anxiety Program, Institut d'Investigació i Innovació Parc Taulí, Universitat Autònoma de Barcelona (UAB), CIBERSAM, Hospital Universitari Parc Taulí, Sabadell, Barcelona, Spain
| | - Maria Serra-Blasco
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Depression and Anxiety Program, Institut d'Investigació i Innovació Parc Taulí, Universitat Autònoma de Barcelona (UAB), CIBERSAM, Hospital Universitari Parc Taulí, Sabadell, Barcelona, Spain
| | - Narcís Cardoner
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Depression and Anxiety Program, Institut d'Investigació i Innovació Parc Taulí, Universitat Autònoma de Barcelona (UAB), CIBERSAM, Hospital Universitari Parc Taulí, Sabadell, Barcelona, Spain
| | - Carla Torrent
- Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Spain; Barcelona Bipolar and Depressive Unit, Hospital Clinic of Barcelona, Institute of Neurosciences, University of Barcelona, IDIBAPS, Barcelona, Spain
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10
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Tranfa M, Iuzzolino VV, Perrella P, Carotenuto A, Pontillo G, Moccia M, Cocozza S, Elefante A, Lanzillo R, Brunetti A, Brescia Morra V, Petracca M. Exploring the relation between reserve and fatigue in multiple sclerosis. Mult Scler Relat Disord 2023; 76:104842. [PMID: 37392716 DOI: 10.1016/j.msard.2023.104842] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 06/07/2023] [Accepted: 06/19/2023] [Indexed: 07/03/2023]
Abstract
INTRODUCTION Intellectual enrichment and brain reserve modulate the expression of cognitive and motor disability in multiple sclerosis (MS). Their association with fatigue, one of the most debilitating and common symptoms of MS, has never been explored. MATERIALS AND METHODS Forty-eight MS patients underwent clinical and MRI examination at baseline and after 1 year. Physical and cognitive MS-related fatigue were evaluated via Modified Fatigue Impact subscales (MFIS-P and MFIS-C). Differences in reserve indexes between fatigued and non-fatigued patients were tested. The relationship between clinico-demographic features, global brain structural damage, indexes of reserve (age-adjusted intracranial volume and cognitive reserve index) and fatigue were tested via correlations and hierarchical linear/binary logistic regression, to predict MFIS-P and MFIS-C (at baseline) or new-onset fatigue and meaningful worsening in MFIS (at follow-up). RESULTS At baseline, although a significant difference was identified for cognitive reserve questionnaire between fatigued and non-fatigued patients (18.19 ± 4.76 versus 15.15 ± 3.56, p = 0.015), only depression accounted for significant variance in MFIS-P and MFIS-C (R2=0.248, p = 0.002; R2=0.252, p<0.001). MFIS-T, MFIS-P and MFIS-C changes over time were associated to depression changes over time (r = 0.56, r = 0.55, and r = 0.57, respectively; all p<0.001). Indexes of reserve did not differ between non-fatigued patients and patients developing new-onset fatigue at follow-up. None of the baseline features was able to predict the new-onset fatigue or meaningful worsening in MFIS at follow-up. CONCLUSIONS Among the explored features, only depression was strongly associated to both physical and cognitive fatigue. Intellectual enrichment and brain reserve did not seem to affect fatigue symptoms in MS patients.
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Affiliation(s)
- Mario Tranfa
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy
| | - Valentina Virginia Iuzzolino
- Department of Neurosciences and Reproductive and Odontostomatological Sciences, University of Naples "Federico II", Naples, Italy
| | - Pierpaolo Perrella
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy
| | - Antonio Carotenuto
- Department of Neurosciences and Reproductive and Odontostomatological Sciences, University of Naples "Federico II", Naples, Italy
| | - Giuseppe Pontillo
- Department of Advanced Biomedical Sciences and Electrical Engineering and Information Technology, University of Naples "Federico II", Naples, Italy; Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom; Department of Radiology and Nuclear Medicine, VU Medical Centre, Amsterdam, the Netherlands
| | - Marcello Moccia
- Department of Molecular Medicine and Medical Biotechnology, University of Naples "Federico II", Naples, Italy; Multiple Sclerosis Unit, AOU "Federico II", Naples, Italy
| | - Sirio Cocozza
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy.
| | - Andrea Elefante
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy
| | - Roberta Lanzillo
- Department of Neurosciences and Reproductive and Odontostomatological Sciences, University of Naples "Federico II", Naples, Italy
| | - Arturo Brunetti
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy
| | - Vincenzo Brescia Morra
- Department of Neurosciences and Reproductive and Odontostomatological Sciences, University of Naples "Federico II", Naples, Italy
| | - Maria Petracca
- Department of Human Neurosciences, University of Rome Sapienza, Rome, Italy
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11
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Gelfo F, Serra L, Petrosini L. New prospects on cerebellar reserve: Remarks on neuroprotective effects of experience in animals and humans. Front Syst Neurosci 2023; 16:1088587. [PMID: 36685287 PMCID: PMC9854258 DOI: 10.3389/fnsys.2022.1088587] [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: 11/03/2022] [Accepted: 12/15/2022] [Indexed: 01/07/2023] Open
Abstract
The ability of the brain to change structure and function in response to experience accounts for its ability to successfully adapt to the environment in both learning processes and unique phases, such as during development and repair. On this basis, the occurrence of the brain, cognitive, and neural reserves has been advanced to explain the discrepancies between the extent of neurological damage and the severity of clinical manifestations described in patients with different life span experiences. Research on this topic highlighted the neuroprotective role of complex stimulations, allowing the brain to better cope with the damage. This framework was initially developed by observing patients with Alzheimer's disease, and it has since been progressively expanded to multifarious pathological states. The cerebellum is known to be particularly responsive to experience through extensive plastic rearrangements. The neuroprotective value exerted by reserve mechanisms appears to be suitable for basic neuronal plasticity in the cerebellum. Thus, it is of primary interest to deepen our understanding of how life experiences modify individuals' cerebellar morphology and functionality. The present study is aimed at analyzing the evidence provided on this topic by animal and human studies. For animals, we considered the studies in which subjects were submitted to enhanced stimulations before the damage occurred. For humans, we considered studies in which previous lifelong high-level experiences were associated with superior cerebellar abilities to cope with injury. Detailed indications of the processes underlying cerebellar reserves may be important in proposing effective interventions for patients suffering from pathologies that directly or indirectly damage cerebellar functionality.
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Affiliation(s)
- Francesca Gelfo
- Department of Human Sciences, Guglielmo Marconi University, Rome, Italy,IRCCS Fondazione Santa Lucia, Rome, Italy,*Correspondence: Francesca Gelfo ✉
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12
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Has Silemek AC, Nolte G, Pöttgen J, Engel AK, Heesen C, Gold SM, Stellmann JP. Topological reorganization of brain network might contribute to the resilience of cognitive functioning in mildly disabled relapsing remitting multiple sclerosis. J Neurosci Res 2023; 101:143-161. [PMID: 36263462 DOI: 10.1002/jnr.25135] [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: 10/18/2021] [Revised: 09/28/2022] [Accepted: 10/05/2022] [Indexed: 11/08/2022]
Abstract
Multiple sclerosis (MS) is an inflammatory and demyelinating disease which leads to impairment in several functional systems including cognition. Alteration of brain networks is linked to disability and its progression. However, results are mostly cross-sectional and yet contradictory as putative adaptive and maladaptive mechanisms were found. Here, we aimed to explore longitudinal reorganization of brain networks over 2-years by combining diffusion tensor imaging (DTI), resting-state functional MRI (fMRI), magnetoencephalography (MEG), and a comprehensive neuropsychological-battery. In 37 relapsing-remitting MS (RRMS) and 39 healthy-controls, cognition remained stable over-time. We reconstructed network models based on the three modalities and analyzed connectivity in relation to the hierarchical topology and functional subnetworks. Network models were compared across modalities and in their association with cognition using linear-mixed-effect-regression models. Loss of hub connectivity and global reduction was observed on a structural level over-years (p < .010), which was similar for functional MEG-networks but not for fMRI-networks. Structural hub connectivity increased in controls (p = .044), suggesting a physiological mechanism of healthy aging. Despite a general loss in structural connectivity in RRMS, hub connectivity was preserved (p = .002) over-time in default-mode-network (DMN). MEG-networks were similar to DTI and weakly correlated with fMRI in MS (p < .050). Lower structural (β between .23-.33) and both lower (β between .40-.59) and higher functional connectivity (β = -.54) in DMN was associated with poorer performance in attention and memory in RRMS (p < .001). MEG-networks involved no association with cognition. Here, cognitive stability despite ongoing neurodegeneration might indicate a resilience mechanism of DMN hubs mimicking a physiological reorganization observed in healthy aging.
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Affiliation(s)
- Arzu Ceylan Has Silemek
- Institut für Neuroimmunologie und Multiple Sklerose, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - Guido Nolte
- Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jana Pöttgen
- Institut für Neuroimmunologie und Multiple Sklerose, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany.,Klinik und Poliklinik für Neurologie, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - Andreas K Engel
- Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Christoph Heesen
- Institut für Neuroimmunologie und Multiple Sklerose, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany.,Klinik und Poliklinik für Neurologie, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - Stefan M Gold
- Institut für Neuroimmunologie und Multiple Sklerose, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany.,Charité - Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt Universität zu Berlin, and Berlin Institute of Health (BIH), Klinik für Psychiatrie & Psychotherapie und Medizinische Klinik m.S. Psychosomatik, Campus Benjamin Franklin (CBF), Berlin, Germany
| | - Jan-Patrick Stellmann
- Institut für Neuroimmunologie und Multiple Sklerose, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany.,Department of Neurophysiology and Pathophysiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,APHM, Hopital de la Timone, CEMEREM, Marseille, France.,Aix-Marseille Université, CNRS, CRMBM, UMR 7339, Marseille, France
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13
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Williams T, Tur C, Eshaghi A, Doshi A, Chan D, Binks S, Wellington H, Heslegrave A, Zetterberg H, Chataway J. Serum neurofilament light and MRI predictors of cognitive decline in patients with secondary progressive multiple sclerosis: Analysis from the MS-STAT randomised controlled trial. Mult Scler 2022; 28:1913-1926. [PMID: 35946107 PMCID: PMC9493411 DOI: 10.1177/13524585221114441] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 06/28/2022] [Accepted: 07/01/2022] [Indexed: 11/15/2022]
Abstract
BACKGROUND Cognitive impairment affects 50%-75% of people with secondary progressive multiple sclerosis (PwSPMS). Improving our ability to predict cognitive decline may facilitate earlier intervention. OBJECTIVE The main aim of this study was to assess the relationship between longitudinal changes in cognition and baseline serum neurofilament light chain (sNfL) in PwSPMS. In a multi-modal analysis, MRI variables were additionally included to determine if sNfL has predictive utility beyond that already established through MRI. METHODS Participants from the MS-STAT trial underwent a detailed neuropsychological test battery at baseline, 12 and 24 months. Linear mixed models were used to assess the relationships between cognition, sNfL, T2 lesion volume (T2LV) and normalised regional brain volumes. RESULTS Median age and Expanded Disability Status Score (EDSS) were 51 and 6.0. Each doubling of baseline sNfL was associated with a 0.010 [0.003-0.017] point per month faster decline in WASI Full Scale IQ Z-score (p = 0.008), independent of T2LV and normalised regional volumes. In contrast, lower baseline volume of the transverse temporal gyrus was associated with poorer current cognitive performance (0.362 [0.026-0.698] point reduction per mL, p = 0.035), but not change in cognition. The results were supported by secondary analyses on individual cognitive components. CONCLUSION Elevated sNfL is associated with faster cognitive decline, independent of T2LV and regional normalised volumes.
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Affiliation(s)
- Thomas Williams
- Queen Square Multiple Sclerosis Centre,
Department of Neuroinflammation, UCL Queen Square Institute of Neurology,
University College London, Russell Square House, 10-12 Russell Square,
London WC1B 5EH, UK
- Queen Square Multiple Sclerosis Centre,
Department of Neuroinflammation, UCL Queen Square Institute of Neurology,
University College London, London, UK
| | - Carmen Tur
- Queen Square Multiple Sclerosis Centre,
Department of Neuroinflammation, UCL Queen Square Institute of Neurology,
University College London, London, UK/Multiple Sclerosis Centre of Catalonia
(Cemcat), Vall d’Hebron Institute of Research, Vall d’Hebron Barcelona
Hospital Campus, Barcelona, Spain
| | - Arman Eshaghi
- Queen Square Multiple Sclerosis Centre,
Department of Neuroinflammation, UCL Queen Square Institute of Neurology,
University College London, London, UK
| | - Anisha Doshi
- Queen Square Multiple Sclerosis Centre,
Department of Neuroinflammation, UCL Queen Square Institute of Neurology,
University College London, London, UK
| | - Dennis Chan
- UCL Institute of Cognitive Neuroscience,
University College London, London, UK
| | - Sophie Binks
- Department of Neurology, Nuffield Department of
Clinical Neurosciences, Oxford, UK
| | - Henny Wellington
- UK Dementia Research Institute, University
College London, London, UK
| | - Amanda Heslegrave
- UK Dementia Research Institute, University
College London, London, UK
| | - Henrik Zetterberg
- UK Dementia Research Institute, University
College London, London, UK/ Department of Psychiatry and Neurochemistry,
Institute of Neuroscience and Physiology, The Sahlgrenska Academy,
University of Gothenburg, Mölndal, Sweden/Clinical Neurochemistry
Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden/Department of
Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London,
UK/Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong
Kong, China
| | - Jeremy Chataway
- Queen Square Multiple Sclerosis Centre,
Department of Neuroinflammation, UCL Queen Square Institute of Neurology,
University College London, London, UK/National Institute for Health
Research, University College London Hospitals, Biomedical Research Centre,
London, UK/Medical Research Council Clinical Trials Unit, Institute of
Clinical Trials and Methodology, University College London, London, UK
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14
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Cognitive Decline in Older People with Multiple Sclerosis—A Narrative Review of the Literature. Geriatrics (Basel) 2022; 7:geriatrics7030061. [PMID: 35735766 PMCID: PMC9223056 DOI: 10.3390/geriatrics7030061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 06/02/2022] [Accepted: 06/02/2022] [Indexed: 12/04/2022] Open
Abstract
Several important questions regarding cognitive aging and dementia in older people with multiple sclerosis (PwMS) are the focus of this narrative review: Do older PwMS have worse cognitive decline compared to older people without MS? Can older PwMS develop dementia or other neurodegenerative diseases such as Alzheimer’s disease (AD) that may be accelerated due to MS? Are there any potential biomarkers that can help to determine the etiology of cognitive decline in older PwMS? What are the neural and cellular bases of cognitive aging and neurodegeneration in MS? Current evidence suggests that cognitive impairment in MS is distinguishable from that due to other neurodegenerative diseases, although older PwMS may present with accelerated cognitive decline. While dementia is prevalent in PwMS, there is currently no consensus on defining it. Cerebrospinal fluid and imaging biomarkers have the potential to identify disease processes linked to MS and other comorbidities—such as AD and vascular disease—in older PwMS, although more research is required. In conclusion, one should be aware that multiple underlying pathologies can coexist in older PwMS and cause cognitive decline. Future basic and clinical research will need to consider these complex factors to better understand the underlying pathophysiology, and to improve diagnostic accuracy.
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15
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Truong QC, Choo C, Numbers K, Merkin AG, Brodaty H, Kochan NA, Sachdev PS, Feigin VL, Medvedev ON. Clinical investigation of dynamic and enduring aspects of global cognition in aged population. Eur J Clin Invest 2022; 52:e13681. [PMID: 34528247 DOI: 10.1111/eci.13681] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Revised: 09/09/2021] [Accepted: 09/13/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND A major issue in evaluating the cognitive status of ageing populations is a clear distinction between enduring and dynamic aspects of global cognition necessary for evaluating risks of dementia and effectiveness of preventive interventions. MATERIALS AND METHODS Generalizability Theory was applied to investigate dynamic and enduring aspects of global cognition using longitudinal data over 10 years of follow-up. Measures included the Mini-Mental Status Examination (MMSE) and the Telephone Interview for Cognitive Status-modified (TICS-M). The sample (N = 238) included 154 females, mean age = 76.54 years, SD = 3.94 from the Sydney Memory and Ageing Study. RESULTS The MMSE measured dynamic and enduring aspects of cognition to a comparable degree with 56% of variance explained by enduring aspects and 44% by dynamic aspects and showed low sensitivity/high specificity in detecting dementia. A shortened version of the MMSE (MMSE-D8) better captured dynamic aspects of cognition after removing three items less sensitive to change. The TICS-M predominantly measured enduring aspects of cognition (72%) with the remaining 28% due to dynamic aspects and displayed high sensitivity/high specificity for dementia screening. CONCLUSIONS The MMSE measures both dynamic and enduring cognitive aspects and is suitable for general clinical assessments, while the MMSE-D8 can be used to monitor transitory changes of global cognition over time. The TICS-M is more useful for measuring enduring features of cognition and screening for dementia. Our findings highlight the value of generalizability theory to distinguish dynamic and enduring features of cognition, which may contribute to preventive interventions and monitoring cognitive ability over time.
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Affiliation(s)
- Quoc C Truong
- School of Psychology, University of Waikato, Hamilton, New Zealand.,Faculty of Psychology, University of Social Sciences and Humanities, Vietnam National University Ho Chi Minh City, Hồ Chí Minh City, Viet Nam
| | - Carol Choo
- School of Psychology, University of Waikato, Hamilton, New Zealand
| | - Katya Numbers
- University of New South Wales, Sydney, New South Wales, Australia
| | - Alexander G Merkin
- Auckland University of Technology, Auckland, New Zealand.,Centre for Precise Psychiatry and Neurosciences, Kaufbeuren, Germany
| | - Henry Brodaty
- University of New South Wales, Sydney, New South Wales, Australia
| | - Nicole A Kochan
- University of New South Wales, Sydney, New South Wales, Australia
| | | | | | - Oleg N Medvedev
- School of Psychology, University of Waikato, Hamilton, New Zealand
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16
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Hersh CM, Altincatal A, Belviso N, Kapadia S, de Moor C, Rudick R, Williams JR, Miller C, Koulinska I. Real-world effectiveness of dimethyl fumarate versus fingolimod in a cohort of patients with multiple sclerosis using standardized, quantitative outcome metrics. Mult Scler J Exp Transl Clin 2022; 8:20552173211069852. [PMID: 35024161 PMCID: PMC8744178 DOI: 10.1177/20552173211069852] [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: 02/18/2021] [Revised: 12/03/2021] [Accepted: 12/09/2021] [Indexed: 11/16/2022] Open
Abstract
Background Prior studies suggest comparable effectiveness of dimethyl fumarate (DMF) and
fingolimod (FTY) in multiple sclerosis (MS) using relapse, Expanded
Disability Status Score (EDSS), and magnetic resonance imaging (MRI) lesion
metrics. Objective Compare the real-world effectiveness of DMF versus FTY using quantitative,
validated neuroperformance tests, MRI, and serum neurofilament light chain
(sNfL) outcomes while controlling for between-group differences. Methods Patients were eligible if on DMF or FTY when first enrolled in the MS
Partners Advancing Technology and Health Solutions (MS PATHS) network and
had ≥1-year follow-up in MS PATHS. Sensitivity analysis included a subgroup
who started DMF/FTY ≤2 years from enrolment. After propensity score
weighting, differences in means and in mean 1-year change of
neuroperformance and MRI outcomes were compared. sNfL levels were assessed.
This was a non-randomized comparison. Results In the overall cohort, no significant differences were observed between DMF
(n = 702) and FTY (n = 600) in
neuroperformance or MRI outcomes including brain volume loss; mean time (SD)
since treatment initiation was 1.98 (0.68) years for DMF and 2.02 (0.75)
years for FTY. A sensitivity analysis controlling for DMF and FTY treatment
duration yielded similar results. Conclusion In this study, DMF and FTY demonstrated similar effects on physical and
cognitive neuroperformance and MRI outcomes. Direct comparisons to other
fumarates and S1P receptor modulators were not conducted.
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Affiliation(s)
| | - Arman Altincatal
- Lou Ruvo Center for Brain Health, Cleveland Clinic, Las Vegas, USA
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17
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Hiew S, Nguemeni C, Zeller D. Efficacy of transcranial direct current stimulation in people with multiple sclerosis: a review. Eur J Neurol 2021; 29:648-664. [PMID: 34725881 DOI: 10.1111/ene.15163] [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: 09/13/2021] [Accepted: 10/27/2021] [Indexed: 12/16/2022]
Abstract
BACKGROUND AND PURPOSE Multiple sclerosis (MS) is a chronic inflammatory disease causing a wide range of symptoms including motor and cognitive impairment, fatigue and pain. Over the last two decades, non-invasive brain stimulation, especially transcranial direct current stimulation (tDCS), has increasingly been used to modulate brain function in various physiological and pathological conditions. However, its experimental applications for people with MS were noted only as recently as 2010 and have been growing since then. The efficacy for use in people with MS remains questionable with the results of existing studies being largely conflicting. Hence, the aim of this review is to paint a picture of the current state of tDCS in MS research grounded on studies applying tDCS that have been done to date. METHODS A keyword search was performed to retrieve articles from the earliest article identified until 14 February 2021 using a combination of the groups (1) 'multiple sclerosis', 'MS' and 'encephalomyelitis' and (2) 'tDCS' and 'transcranial direct current stimulation'. RESULTS The analysis of the 30 articles included in this review underlined inconsistent effects of tDCS on the motor symptoms of MS based on small sample sizes. However, tDCS showed promising benefits in ameliorating fatigue, pain and cognitive symptoms. CONCLUSION Transcranial direct current stimulation is attractive as a non-drug approach in ameliorating MS symptoms, where other treatment options remain limited. The development of protocols tailored to the individual's own neuroanatomy using high definition tDCS and the introduction of network mapping in the experimental designs might help to overcome the variability between studies.
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Affiliation(s)
- Shawn Hiew
- Department of Neurology, University Hospital of Würzburg, Würzburg, Germany
| | - Carine Nguemeni
- Department of Neurology, University Hospital of Würzburg, Würzburg, Germany
| | - Daniel Zeller
- Department of Neurology, University Hospital of Würzburg, Würzburg, Germany
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18
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Cognitive trajectories in multiple sclerosis: a long-term follow-up study. Neurol Sci 2021; 43:1215-1222. [PMID: 34105018 PMCID: PMC8789689 DOI: 10.1007/s10072-021-05356-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 05/28/2021] [Indexed: 01/02/2023]
Abstract
BACKGROUND Cognitive impairment occurs in multiple sclerosis (MS) and undergoes a progressive worsening over disease course. However, clinicians still struggle to predict the course of cognitive function. To evaluate baseline clinical and imaging predictors of cognitive abilities worsening over time, we performed a latent trajectory analysis for cognitive performances in MS patients, up to 15 years from disease onset. METHODS We collected age, sex, education, dominant and non-dominant 9-hole peg test (9HP) and timed 25-foot walk (T25-FW) as well as MRI measures (grey matter volume and lesion load) within 6 months from disease diagnosis for relapsing-remitting MS (RR-MS) patients. At diagnosis and over the follow-up, we also assessed cognitive status through the symbol digit modalities test (SDMT). Cognitive impairment was defined by applying age-, gender- and education-adjusted normative values. Group-based trajectory analysis was performed to determine trajectories, and the predictive value of clinical and imaging variables at baseline was assessed through multinomial logistic regression. RESULTS We included 148 RR-MS (98 females and 50 males). Over 11 ± 4 year follow-up, 51.4% remained cognitively stable whereas 48.6% cognitively worsened. Cognitively worsening patients had a higher T25FW time (p = 0.004) and a reduced hippocampal volume at baseline (p = 0.04). CONCLUSION Physical disability as well as hippocampal atrophy might depict patients at risk of cognitive worsening over the disease course. Therefore, using such predictors, clinicians may select patients to carefully evaluate for cognitive impairment as to eventually introduce cognitive rehabilitation treatments.
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19
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Hsu WY, Rowles W, Anguera J, Zhao C, Anderson A, Alexander A, Sacco S, Henry R, Gazzaley A, Bove R. Application of an Adaptive, Digital, Game-Based Approach for Cognitive Assessment in Multiple Sclerosis: Observational Study. J Med Internet Res 2021; 23:e24356. [PMID: 33470940 PMCID: PMC7840186 DOI: 10.2196/24356] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 10/14/2020] [Accepted: 10/28/2020] [Indexed: 01/19/2023] Open
Abstract
Background Cognitive impairment is one of the most debilitating manifestations of multiple sclerosis. Currently, the assessment of cognition relies on a time-consuming and extensive neuropsychological examination, which is only available in some centers. Objective To enable simpler, more accessible cognitive screening, we sought to determine the feasibility and potential assessment sensitivity of an unsupervised, adaptive, video game–based digital therapeutic to assess cognition in multiple sclerosis. Methods A total of 100 people with multiple sclerosis (33 with cognitive impairment and 67 without cognitive impairment) and 24 adults without multiple sclerosis were tested with the tablet game (EVO Monitor) and standard measures, including the Brief International Cognitive Assessment for Multiple Sclerosis (which included the Symbol Digit Modalities Test [SDMT]) and Multiple Sclerosis Functional Composite 4 (which included the Timed 25-Foot Walk test). Patients with multiple sclerosis also underwent neurological evaluations and contributed recent structural magnetic resonance imaging scans. Group differences in EVO Monitor performance and the association between EVO Monitor performance and standard measures were investigated. Results Participants with multiple sclerosis and cognitive impairment showed worse performance in EVO Monitor compared with participants without multiple sclerosis (P=.01) and participants with multiple sclerosis without cognitive impairment (all P<.002). Regression analyses indicated that participants with a lower SDMT score showed lower performance in EVO Monitor (r=0.52, P<.001). Further exploratory analyses revealed associations between performance in EVO Monitor and walking speed (r=–0.45, P<.001) as well as brain volumetric data (left thalamic volume: r=0.47, P<.001; right thalamic volume: r=0.39, P=.002; left rostral middle frontal volume: r=0.28, P=.03; right rostral middle frontal volume: r=0.27, P=.03). Conclusions These findings suggest that EVO Monitor, an unsupervised, video game–based digital program integrated with adaptive mechanics, is a clinically valuable approach to measuring cognitive performance in patients with multiple sclerosis. Trial Registration ClinicalTrials.gov NCT03569618; https://clinicaltrials.gov/ct2/show/NCT03569618
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Affiliation(s)
- Wan-Yu Hsu
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - William Rowles
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - Joaquin Anguera
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.,Neuroscape, University of California, San Francisco, San Francisco, CA, United States.,Department of Psychiatry, University of California, San Francisco, San Francisco, CA, United States
| | - Chao Zhao
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - Annika Anderson
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - Amber Alexander
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - Simone Sacco
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - Roland Henry
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
| | - Adam Gazzaley
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.,Neuroscape, University of California, San Francisco, San Francisco, CA, United States.,Department of Psychiatry, University of California, San Francisco, San Francisco, CA, United States.,Department of Physiology, University of California, San Francisco, San Francisco, CA, United States
| | - Riley Bove
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States
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20
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Conti L, Riccitelli GC, Preziosa P, Vizzino C, Marchesi O, Rocca MA, Filippi M. Effect of cognitive reserve on structural and functional MRI measures in healthy subjects: a multiparametric assessment. J Neurol 2021; 268:1780-1791. [PMID: 33387014 DOI: 10.1007/s00415-020-10331-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 11/19/2020] [Accepted: 11/19/2020] [Indexed: 11/30/2022]
Abstract
BACKGROUND Cognitive reserve (CR) contributes to inter-individual variability of cognitive performance and to preserve cognitive functioning facing aging and brain damage. However, brain anatomical and functional substrates of CR still need to be fully explored in young healthy subjects (HS). By evaluating a relatively large cohort of young HS, we investigated the associations between CR and structural and functional magnetic resonance imaging (MRI) measures in early adulthood. METHODS A global Cognitive Reserve Index (CRI), combining intelligence quotient, leisure activities and education, was measured from 77 HS and its brain anatomical and functional substrates were evaluated through a multiparametric MRI approach. Substrates of the three subdomains (cognitive/social/physical) of leisure activities were also explored. RESULTS Higher global and subdomain CRIs were associated with higher gray matter volume of brain regions involved in motor and cognitive functions, such as the right (R) supplementary motor area, left (L) middle frontal gyrus and L cerebellum. No correlation with measures of white matter (WM) integrity was found. Higher global and subdomains CRIs were associated with lower resting-state functional connectivity (RS FC) of L postcentral gyrus and R insula in sensorimotor network, L postcentral gyrus in salience network and R cerebellum in the executive-control network. Moreover, several CRIs were also associated with higher RS FC of R cuneus in default-mode network. CONCLUSIONS CR modulates structure and function of several brain motor and cognitive networks responsible for complex cognitive functioning already in young HS. CR could promote optimization of the recruitment of brain networks.
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Affiliation(s)
- Lorenzo Conti
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Gianna C Riccitelli
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Paolo Preziosa
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Carmen Vizzino
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Olga Marchesi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Maria A Rocca
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy. .,Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy. .,Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy. .,Neurophysiology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy. .,Vita-Salute San Raffaele University, Milan, Italy.
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21
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Machado R, Lima C, d'Almeida OC, Afonso A, Macário C, Castelo-Branco M, Sousa L, Santana I, Batista S. Protective effects of cognitive and brain reserve in multiple sclerosis: Differential roles on social cognition and 'classic cognition'. Mult Scler Relat Disord 2020; 48:102716. [PMID: 33421706 DOI: 10.1016/j.msard.2020.102716] [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: 11/03/2020] [Revised: 12/14/2020] [Accepted: 12/21/2020] [Indexed: 10/22/2022]
Abstract
BACKGROUND According to cognitive reserve (CR) and brain reserve (BR) theories, lifetime intellectual enrichment and maximal brain volume protect against cognitive decline. OBJECTIVE To examine the effects of CR and BR on social cognition in multiple sclerosis (MS), and compare it with 'classic cognition'. METHODS We included 60 MS patients and 60 healthy controls matched on age, sex, and education. Education was used has a proxy of CR and intracranial volume (ICV) as a proxy of BR. Participants underwent Theory of Mind (ToM) testing (Eyes Test, Videos Test), comprehensive neuropsychological assessment and 3Tesla brain MRI. Cortical and subcortical grey matter (GM) volumes were calculated. RESULTS We found positive effects of education and ICV on general cognitive status and ToM performance, respectively. Higher education moderated the impact of subcortical GM atrophy on 'classic' cognitive status (R2=0.219, p=<0.001). Conversely, greater ICV attenuated the impact of cortical GM atrophy on Eyes Test (R2=0.158, p=0.002) and Videos Test (R2=0.198, p=0.001). Stratification for disease duration showed that the protective effect of education/ICV occurred in early stages of disease (<10 years). CONCLUSION CR and BR have differential protective roles in MS, with BR having a positive effect on social cognition and CR on 'classic' cognitive domains.
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Affiliation(s)
- Rita Machado
- Department of Neurology, Centro Hospitalar e Universitário de Coimbra (CHUC), Coimbra 3000-075, Portugal.
| | - Cláudia Lima
- Department of Neurology, Centro Hospitalar e Universitário de Coimbra (CHUC), Coimbra 3000-075, Portugal
| | - Otília C d'Almeida
- Visual Neuroscience Laboratory, Institute for Biomedical Imaging and Life Sciences (IBILI), Faculty of Medicine, University of Coimbra, Coimbra, Portugal; Centre for Neuroscience and Cell Biology (CNC). IBILI, University of Coimbra, Coimbra, Portugal; Institute for Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Coimbra, Portugal
| | - Ana Afonso
- Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Carmo Macário
- Department of Neurology, Centro Hospitalar e Universitário de Coimbra (CHUC), Coimbra 3000-075, Portugal
| | - Miguel Castelo-Branco
- Visual Neuroscience Laboratory, Institute for Biomedical Imaging and Life Sciences (IBILI), Faculty of Medicine, University of Coimbra, Coimbra, Portugal; Centre for Neuroscience and Cell Biology (CNC). IBILI, University of Coimbra, Coimbra, Portugal; Institute for Nuclear Sciences Applied to Health (ICNAS), University of Coimbra, Coimbra, Portugal; Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Lívia Sousa
- Department of Neurology, Centro Hospitalar e Universitário de Coimbra (CHUC), Coimbra 3000-075, Portugal; Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Isabel Santana
- Department of Neurology, Centro Hospitalar e Universitário de Coimbra (CHUC), Coimbra 3000-075, Portugal; Centre for Neuroscience and Cell Biology (CNC). IBILI, University of Coimbra, Coimbra, Portugal; Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - Sónia Batista
- Department of Neurology, Centro Hospitalar e Universitário de Coimbra (CHUC), Coimbra 3000-075, Portugal; Faculty of Medicine, University of Coimbra, Coimbra, Portugal
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22
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Burggraaff J, Liu Y, Prieto JC, Simoes J, de Sitter A, Ruggieri S, Brouwer I, Lissenberg-Witte BI, Rocca MA, Valsasina P, Ropele S, Gasperini C, Gallo A, Pareto D, Sastre-Garriga J, Enzinger C, Filippi M, De Stefano N, Ciccarelli O, Hulst HE, Wattjes MP, Barkhof F, Uitdehaag BMJ, Vrenken H, Guttmann CRG. Manual and automated tissue segmentation confirm the impact of thalamus atrophy on cognition in multiple sclerosis: A multicenter study. NEUROIMAGE-CLINICAL 2020; 29:102549. [PMID: 33401136 PMCID: PMC7787946 DOI: 10.1016/j.nicl.2020.102549] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Revised: 12/09/2020] [Accepted: 12/20/2020] [Indexed: 01/05/2023]
Abstract
BACKGROUND AND RATIONALE Thalamus atrophy has been linked to cognitive decline in multiple sclerosis (MS) using various segmentation methods. We investigated the consistency of the association between thalamus volume and cognition in MS for two common automated segmentation approaches, as well as fully manual outlining. METHODS Standardized neuropsychological assessment and 3-Tesla 3D-T1-weighted brain MRI were collected (multi-center) from 57 MS patients and 17 healthy controls. Thalamus segmentations were generated manually and using five automated methods. Agreement between the algorithms and manual outlines was assessed with Bland-Altman plots; linear regression assessed the presence of proportional bias. The effect of segmentation method on the separation of cognitively impaired (CI) and preserved (CP) patients was investigated through Generalized Estimating Equations; associations with cognitive measures were investigated using linear mixed models, for each method and vendor. RESULTS In smaller thalami, automated methods systematically overestimated volumes compared to manual segmentations [ρ=(-0.42)-(-0.76); p-values < 0.001). All methods significantly distinguished CI from CP MS patients, except manual outlines of the left thalamus (p = 0.23). Poorer global neuropsychological test performance was significantly associated with smaller thalamus volumes bilaterally using all methods. Vendor significantly affected the findings. CONCLUSION Automated and manual thalamus segmentation consistently demonstrated an association between thalamus atrophy and cognitive impairment in MS. However, a proportional bias in smaller thalami and choice of MRI acquisition system might impact the effect size of these findings.
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Affiliation(s)
- Jessica Burggraaff
- Department of Neurology, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Location VUmc, De Boelelaan 1117, 1118, 1081 HV Amsterdam, The Netherlands.
| | - Yao Liu
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Location VUmc, De Boelelaan 1117, 1118, 1081 HV Amsterdam, The Netherlands.
| | - Juan C Prieto
- Center for Neurological Imaging, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, 1249 Boylston Street, Boston, MA 02215, USA.
| | - Jorge Simoes
- Department of Neurology, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Location VUmc, De Boelelaan 1117, 1118, 1081 HV Amsterdam, The Netherlands.
| | - Alexandra de Sitter
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Location VUmc, De Boelelaan 1117, 1118, 1081 HV Amsterdam, The Netherlands.
| | - Serena Ruggieri
- Department of Human Neurosciences, "Sapienza" University of Rome, Piazzale Aldo Moro, 5, 00185 Roma RM, Italy; Department of Neurosciences, San Camillo Forlanini Hospital, Circonvallazione Gianicolense, 87, 00152 Roma RM, Italy.
| | - Iman Brouwer
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Location VUmc, De Boelelaan 1117, 1118, 1081 HV Amsterdam, The Netherlands.
| | - Birgit I Lissenberg-Witte
- Department of Epidemiology and Biostatistics, Amsterdam UMC, Location VUmc, De Boelelaan 1089a, 1081 HV Amsterdam, the Netherlands.
| | - Mara A Rocca
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, and Neurology Unit, San Raffaele Scientific Institute, Via Olgettina, 58, 20132 Milano MI, Italy; Neurology Unit, San Raffaele Scientific Institute, Via Olgettina, 58, 20132 Milano MI, Italy.
| | - Paola Valsasina
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, and Neurology Unit, San Raffaele Scientific Institute, Via Olgettina, 58, 20132 Milano MI, Italy.
| | - Stefan Ropele
- Department of Neurology, Medical University of Graz, Auenbruggerplatz 22, 8036 Graz, Austria.
| | - Claudio Gasperini
- Department of Neurosciences, San Camillo Forlanini Hospital, Circonvallazione Gianicolense, 87, 00152 Roma RM, Italy.
| | - Antonio Gallo
- Division of Neurology and 3T MRI Research Center, Department of Advanced Medical and Surgical Sciences, University of Campania "Luigi Vanvitelli", Viale Abramo Lincoln, 5, 81100 Caserta, CE, Napoli, Italy.
| | - Deborah Pareto
- Section of Neuroradiology and MRI Unit, Department of Radiology, University Hospital iValld'Hebron, Autonomous University of Barcelona, Passeig de la Vall d'Hebron 119-129, 08035 Barcelona, Spain.
| | - Jaume Sastre-Garriga
- Department of Neurology, University Hospital iValld'Hebron, Autonomous University of Barcelona, Passeig de la Vall d'Hebron 119-129, 08035 Barcelona, Spain.
| | - Christian Enzinger
- Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 22, 8036 Graz, Austria.
| | - Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, and Neurology Unit, San Raffaele Scientific Institute, Via Olgettina, 58, 20132 Milano MI, Italy; Neurology Unit, San Raffaele Scientific Institute, Via Olgettina, 58, 20132 Milano MI, Italy; Neurophysiology Unit, San Raffaele Scientific Institute, and (14)Vita-Salute San Raffaele University, Via Olgettina, 58, 20132 Milano, MI, Italy; Department of Neurological and Behavioural Sciences, University of Siena, 53100 Siena SI, Italy.
| | - Nicola De Stefano
- Department of Neurological and Behavioural Sciences, University of Siena, 53100 Siena SI, Italy.
| | - Olga Ciccarelli
- Department of Neuroinflammation UCL, Queen Square Institute of Neurology UCL, Queen Square, London WC1N 3BG, United Kingdom.
| | - Hanneke E Hulst
- Department of Anatomy and Neurosciences, Amsterdam Neuroscience, MS Center Amsterdam, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1108, P.O. Box 7057, 1007 MB, Amsterdam, The Netherlands.
| | - Mike P Wattjes
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Location VUmc, De Boelelaan 1117, 1118, 1081 HV Amsterdam, The Netherlands; Department of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Hannover, Carl-Neuberg-Straße, 30625 Hannover, Germany.
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Location VUmc, De Boelelaan 1117, 1118, 1081 HV Amsterdam, The Netherlands; Institutes of Neurology & Healthcare Engineering, UCL, 235 Euston Rd, Bloomsbury, London NW1 2BU, United Kingdom.
| | - Bernard M J Uitdehaag
- Department of Neurology, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Location VUmc, De Boelelaan 1117, 1118, 1081 HV Amsterdam, The Netherlands.
| | - Hugo Vrenken
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Location VUmc, De Boelelaan 1117, 1118, 1081 HV Amsterdam, The Netherlands.
| | - Charles R G Guttmann
- Center for Neurological Imaging, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, 1249 Boylston Street, Boston, MA 02215, USA.
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23
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Nauta IM, Kulik SD, Breedt LC, Eijlers AJ, Strijbis EM, Bertens D, Tewarie P, Hillebrand A, Stam CJ, Uitdehaag BM, Geurts JJ, Douw L, de Jong BA, Schoonheim MM. Functional brain network organization measured with magnetoencephalography predicts cognitive decline in multiple sclerosis. Mult Scler 2020; 27:1727-1737. [PMID: 33295249 PMCID: PMC8474326 DOI: 10.1177/1352458520977160] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
BACKGROUND Cognitive decline remains difficult to predict as structural brain damage cannot fully explain the extensive heterogeneity found between MS patients. OBJECTIVE To investigate whether functional brain network organization measured with magnetoencephalography (MEG) predicts cognitive decline in MS patients after 5 years and to explore its value beyond structural pathology. METHODS Resting-state MEG recordings, structural MRI, and neuropsychological assessments were analyzed of 146 MS patients, and 100 patients had a 5-year follow-up neuropsychological assessment. Network properties of the minimum spanning tree (i.e. backbone of the functional brain network) indicating network integration and overload were related to baseline and longitudinal cognition, correcting for structural damage. RESULTS A more integrated beta band network (i.e. smaller diameter) and a less integrated delta band network (i.e. lower leaf fraction) predicted cognitive decline after 5 years (Radj2=15%), independent of structural damage. Cross-sectional analyses showed that a less integrated network (e.g. lower tree hierarchy) related to worse cognition, independent of frequency band. CONCLUSIONS The level of functional brain network integration was an independent predictive marker of cognitive decline, in addition to the severity of structural damage. This work thereby indicates the promise of MEG-derived network measures in predicting disease progression in MS.
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Affiliation(s)
- Ilse M Nauta
- Department of Neurology, Amsterdam UMC, Vrije Universiteit Amsterdam, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Shanna D Kulik
- Department of Anatomy & Neurosciences, Amsterdam UMC, Vrije Universiteit Amsterdam, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Lucas C Breedt
- Department of Anatomy & Neurosciences, Amsterdam UMC, Vrije Universiteit Amsterdam, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Anand Jc Eijlers
- Department of Anatomy & Neurosciences, Amsterdam UMC, Vrije Universiteit Amsterdam, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Eva Mm Strijbis
- Department of Neurology, Amsterdam UMC, Vrije Universiteit Amsterdam, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands/Department of Clinical Neurophysiology and MEG Center, Amsterdam UMC, Vrije Universiteit Amsterdam, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Dirk Bertens
- Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands; Klimmendaal Rehabilitation Center, Arnhem, The Netherlands
| | - Prejaas Tewarie
- Department of Neurology, Amsterdam UMC, Vrije Universiteit Amsterdam, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Arjan Hillebrand
- Department of Clinical Neurophysiology and MEG Center, Amsterdam UMC, Vrije Universiteit Amsterdam, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Cornelis J Stam
- Department of Neurology, Amsterdam UMC, Vrije Universiteit Amsterdam, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands/Department of Clinical Neurophysiology and MEG Center, Amsterdam UMC, Vrije Universiteit Amsterdam, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Bernard Mj Uitdehaag
- Department of Neurology, Amsterdam UMC, Vrije Universiteit Amsterdam, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Jeroen Jg Geurts
- Department of Anatomy & Neurosciences, Amsterdam UMC, Vrije Universiteit Amsterdam, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Linda Douw
- Department of Anatomy & Neurosciences, Amsterdam UMC, Vrije Universiteit Amsterdam, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Brigit A de Jong
- Department of Neurology, Amsterdam UMC, Vrije Universiteit Amsterdam, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands
| | - Menno M Schoonheim
- Department of Anatomy & Neurosciences, Amsterdam UMC, Vrije Universiteit Amsterdam, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam, The Netherlands
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24
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Lopez-Soley E, Solana E, Martínez-Heras E, Andorra M, Radua J, Prats-Uribe A, Montejo C, Sola-Valls N, Sepulveda M, Pulido-Valdeolivas I, Blanco Y, Martinez-Lapiscina EH, Saiz A, Llufriu S. Impact of Cognitive Reserve and Structural Connectivity on Cognitive Performance in Multiple Sclerosis. Front Neurol 2020; 11:581700. [PMID: 33193039 PMCID: PMC7662554 DOI: 10.3389/fneur.2020.581700] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Accepted: 09/30/2020] [Indexed: 01/07/2023] Open
Abstract
Background: Cognitive reserve (CR) could attenuate the impact of the brain burden on the cognition in people with multiple sclerosis (PwMS). Objective: To explore the relationship between CR and structural brain connectivity and investigate their role on cognition in PwMS cognitively impaired (PwMS-CI) and cognitively preserved (PwMS-CP). Methods: In this study, 181 PwMS (71% female; 42.9 ± 10.0 years) were evaluated using the Cognitive Reserve Questionnaire (CRQ), Brief Repeatable Battery of Neuropsychological tests, and MRI. Brain lesion and gray matter volumes were quantified, as was the structural network connectivity. Patients were classified as PwMS-CI (z scores = −1.5 SD in at least two tests) or PwMS-CP. Linear and multiple regression analyses were run to evaluate the association of CRQ and structural connectivity with cognition in each group. Hedges's effect size was used to compute the strength of associations. Results: We found a very low association between CRQ scores and connectivity metrics in PwMS-CP, while in PwMS-CI, this relation was low to moderate. The multiple regression model, adjusted for age, gender, mood, lesion volume, and graph metrics (local and global efficiency, and transitivity), indicated that the CRQ (β = 0.26, 95% CI: 0.17–0.35) was associated with cognition (adj R2 = 0.34) in PwMS-CP (55%). In PwMS-CI, CRQ (β = 0.18, 95% CI: 0.07–0.29), age, and network global efficiency were independently associated with cognition (adj R2 = 0.55). The age- and gender-adjusted association between CRQ score and global efficiency on having an impaired cognitive status was −0.338 (OR: 0.71, p = 0.036) and −0.531 (OR: 0.59, p = 0.002), respectively. Conclusions: CR seems to have a marginally significant effect on brain structural connectivity, observed in patients with more severe clinical impairment. It protects PwMS from cognitive decline regardless of their cognitive status, yet once cognitive impairment has set in, brain damage and aging are also influencing cognitive performance.
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Affiliation(s)
- Elisabet Lopez-Soley
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Center of Neuroimmunology, Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Hospital Clinic Barcelona, Universitat de Barcelona, Barcelona, Spain
| | - Elisabeth Solana
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Center of Neuroimmunology, Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Hospital Clinic Barcelona, Universitat de Barcelona, Barcelona, Spain
| | - Eloy Martínez-Heras
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Center of Neuroimmunology, Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Hospital Clinic Barcelona, Universitat de Barcelona, Barcelona, Spain
| | - Magi Andorra
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Center of Neuroimmunology, Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Hospital Clinic Barcelona, Universitat de Barcelona, Barcelona, Spain
| | - Joaquim Radua
- Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Mental Health Research Networking Center (CIBERSAM), Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,Department of Psychosis Studies, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, United Kingdom.,Department of Clinical Neuroscience, Centre for Psychiatric Research and Education, Karolinska Institutet, Solna, Sweden
| | - Albert Prats-Uribe
- Centre for Statistics in Medicine, Botnar Research Centre, Nuffiel Department of Orthopeadics, rheumatology and musculoskeletal sciences (NDORMS), University of Oxford, Oxford, United Kingdom
| | - Carmen Montejo
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Center of Neuroimmunology, Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Hospital Clinic Barcelona, Universitat de Barcelona, Barcelona, Spain
| | - Nuria Sola-Valls
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Center of Neuroimmunology, Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Hospital Clinic Barcelona, Universitat de Barcelona, Barcelona, Spain
| | - Maria Sepulveda
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Center of Neuroimmunology, Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Hospital Clinic Barcelona, Universitat de Barcelona, Barcelona, Spain
| | - Irene Pulido-Valdeolivas
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Center of Neuroimmunology, Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Hospital Clinic Barcelona, Universitat de Barcelona, Barcelona, Spain
| | - Yolanda Blanco
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Center of Neuroimmunology, Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Hospital Clinic Barcelona, Universitat de Barcelona, Barcelona, Spain
| | - Elena H Martinez-Lapiscina
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Center of Neuroimmunology, Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Hospital Clinic Barcelona, Universitat de Barcelona, Barcelona, Spain
| | - Albert Saiz
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Center of Neuroimmunology, Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Hospital Clinic Barcelona, Universitat de Barcelona, Barcelona, Spain
| | - Sara Llufriu
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Center of Neuroimmunology, Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Hospital Clinic Barcelona, Universitat de Barcelona, Barcelona, Spain
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25
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Damasceno A, Pimentel-Silva LR, Damasceno BP, Cendes F. Cognitive trajectories in relapsing-remitting multiple sclerosis: A longitudinal 6-year study. Mult Scler 2019; 26:1740-1751. [PMID: 31603042 DOI: 10.1177/1352458519878685] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Information concerning longitudinal cognitive trajectories in multiple sclerosis (MS) is relatively scarce. Moreover, it is unclear which factors are associated with cognitive decline and what is the clinical impact of cognitive impairment (CI) in the long run. OBJECTIVE To investigate cognitive trajectories in relapsing-remitting multiple sclerosis (RRMS) patients, analyzing clinical and magnetic resonance imaging (MRI) predictors of cognitive decline. METHODS We enrolled 42 patients and 30 controls. They underwent brain MRI and clinical/neuropsychological evaluation at baseline and after 1, 2, and 6 years. We evaluated cognitive domains with principal component analysis and performed multivariable regression analyzing predictors of clinical/cognitive deterioration. We also performed repeated measures analysis to assess whether clinical progression was different according to CI at baseline. RESULTS A total of 23 (62.2%) patients deteriorated in combined cognitive domains after 6 years, most in processing speed and memory. The number of baseline impaired cognitive domains was strongly associated with 6-year cognitive (R2 = 0.452; p < 0.001) and Expanded Disability Status Scale (EDSS) deterioration (R2 = 0.263; p < 0.001). Patients with baseline CI in combined domains had worse clinical progression. CONCLUSION Isolated CI tends to become more widespread, affecting memory and processing speed alongside. The extent of baseline CI was the best predictor of both clinical and cognitive deterioration after 6 years.
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Affiliation(s)
- Alfredo Damasceno
- Department of Neurology, Faculdade de Ciências Médicas (FCM), University of Campinas (UNICAMP), Campinas, Brazil/Neuroimaging Laboratory, University of Campinas (UNICAMP), Campinas, Brazil
| | | | - Benito Pereira Damasceno
- Department of Neurology, Faculdade de Ciências Médicas (FCM), University of Campinas (UNICAMP), Campinas, Brazil
| | - Fernando Cendes
- Department of Neurology, Faculdade de Ciências Médicas (FCM), University of Campinas (UNICAMP), Campinas, Brazil/Neuroimaging Laboratory, University of Campinas (UNICAMP), Campinas, Brazil
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26
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Oliveira-Kumakura ARDS, Bezutti LM, Silva JLG, Gasparino RC. Functional and self-care capacity of people with multiple sclerosis. Rev Lat Am Enfermagem 2019; 27:e3183. [PMID: 31596417 PMCID: PMC6781382 DOI: 10.1590/1518-8345.3068.3183] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Accepted: 05/13/2019] [Indexed: 12/13/2022] Open
Abstract
Objective: describe the self-care and functionality levels of patients with multiple sclerosis and determine whether sociodemographic, clinical and functional variables interfere with self-care and/or functionality. Method: correlational, cross-sectional study with a quantitative approach performed with individuals in outpatient follow-up. We collected sociodemographic and clinical data and applied the Appraisal of Self-care Agency Scale, the Barthel index, the Lawtton and Brody Scale, and the instrument to investigate the performance in Advanced Activities of Daily Living. We performed descriptive and inferential analysis. Results: most patients were classified as “having self-care” (82.14%); with moderate dependence (51.19%) for the basic activities of daily living, partial dependence for the instrumental activities of daily living (55.95%), and more active for the advanced activities of daily living (85.71%). Patients with longer disease duration had a higher number of disabilities and, in those with better socioeconomic and educational profile, the functionality was better. Conclusion: disease duration was strongly correlated with a higher number of disabilities and better socioeconomic and educational profiles showed to be protective factors for functionality. Care planning should consider the needs observed by the multidisciplinary team, stimulating the development of self-care, functionality and sociability.
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27
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Ifantopoulou P, Artemiadis AK, Bakirtzis C, Zekiou K, Papadopoulos TS, Diakogiannis I, Hadjigeorgiou G, Grigoriadis N, Orologas A. Cognitive and brain reserve in multiple sclerosis––A cross-sectional study. Mult Scler Relat Disord 2019; 35:128-134. [DOI: 10.1016/j.msard.2019.07.027] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Revised: 06/29/2019] [Accepted: 07/27/2019] [Indexed: 10/26/2022]
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28
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Eijlers AJ, Dekker I, Steenwijk MD, Meijer KA, Hulst HE, Pouwels PJ, Uitdehaag BM, Barkhof F, Vrenken H, Schoonheim MM, Geurts JJ. Cortical atrophy accelerates as cognitive decline worsens in multiple sclerosis. Neurology 2019; 93:e1348-e1359. [DOI: 10.1212/wnl.0000000000008198] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2018] [Accepted: 05/02/2019] [Indexed: 01/15/2023] Open
Abstract
ObjectiveTo determine which pathologic process could be responsible for the acceleration of cognitive decline during the course of multiple sclerosis (MS), using longitudinal structural MRI, which was related to cognitive decline in relapsing-remitting MS (RRMS) and progressive MS (PMS).MethodsA prospective cohort of 230 patients with MS (179 RRMS and 51 PMS) and 59 healthy controls was evaluated twice with 5-year (mean 4.9, SD 0.94) interval during which 22 patients with RRMS converted to PMS. Annual rates of cortical and deep gray matter atrophy as well as lesion volume increase were computed on longitudinal (3T) MRI data and correlated to the annual rate of cognitive decline as measured using an extensive cognitive evaluation at both time points.ResultsThe deep gray matter atrophy rate did not differ between PMS and RRMS (−0.82%/year vs −0.71%/year, p = 0.11), while faster cortical atrophy was observed in PMS (−0.87%/year vs −0.48%/year, p < 0.01). Similarly, faster cognitive decline was observed in PMS compared to RRMS (p < 0.01). Annual cognitive decline was related to the rate of annual lesion volume increase in stable RRMS (r = −0.17, p = 0.03) to the rate of annual deep gray matter atrophy in converting RRMS (r = 0.50, p = 0.02) and annual cortical atrophy in PMS (r = 0.35, p = 0.01).ConclusionsThese results indicate that cortical atrophy and cognitive decline accelerate together during the course of MS. Substrates of cognitive decline shifted from worsening lesional pathology in stable RRMS to deep gray matter atrophy in converting RRMS and to accelerated cortical atrophy in PMS only.
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29
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Perneczky R, Kempermann G, Korczyn AD, Matthews FE, Ikram MA, Scarmeas N, Chetelat G, Stern Y, Ewers M. Translational research on reserve against neurodegenerative disease: consensus report of the International Conference on Cognitive Reserve in the Dementias and the Alzheimer's Association Reserve, Resilience and Protective Factors Professional Interest Area working groups. BMC Med 2019; 17:47. [PMID: 30808345 PMCID: PMC6391801 DOI: 10.1186/s12916-019-1283-z] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Accepted: 02/06/2019] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND The concept of reserve was established to account for the observation that a given degree of neurodegenerative pathology may result in varying degrees of symptoms in different individuals. There is a large amount of evidence on epidemiological risk and protective factors for neurodegenerative diseases and dementia, yet the biological mechanisms that underpin the protective effects of certain lifestyle and physiological variables remain poorly understood, limiting the development of more effective preventive and treatment strategies. Additionally, different definitions and concepts of reserve exist, which hampers the coordination of research and comparison of results across studies. DISCUSSION This paper represents the consensus of a multidisciplinary group of experts from different areas of research related to reserve, including clinical, epidemiological and basic sciences. The consensus was developed during meetings of the working groups of the first International Conference on Cognitive Reserve in the Dementias (24-25 November 2017, Munich, Germany) and the Alzheimer's Association Reserve and Resilience Professional Interest Area (25 July 2018, Chicago, USA). The main objective of the present paper is to develop a translational perspective on putative mechanisms underlying reserve against neurodegenerative disease, combining evidence from epidemiological and clinical studies with knowledge from animal and basic research. The potential brain functional and structural basis of reserve in Alzheimer's disease and other brain disorders are discussed, as well as relevant lifestyle and genetic factors assessed in both humans and animal models. CONCLUSION There is an urgent need to advance our concept of reserve from a hypothetical model to a more concrete approach that can be used to improve the development of effective interventions aimed at preventing dementia. Our group recommends agreement on a common dictionary of terms referring to different aspects of reserve, the improvement of opportunities for data sharing across individual cohorts, harmonising research approaches across laboratories and groups to reduce heterogeneity associated with human data, global coordination of clinical trials to more effectively explore whether reducing epidemiological risk factors leads to a reduced burden of neurodegenerative diseases in the population, and an increase in our understanding of the appropriateness of animal models for reserve research.
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Affiliation(s)
- Robert Perneczky
- Division of Mental Health in Older Adults and Alzheimer Therapy and Research Center, Department of Psychiatry and Psychotherapy, University Hospital, Ludwig Maximilian University Munich, 80336, Munich, Germany. .,German Center for Neurodegenerative Diseases (DZNE) Munich, Munich, Germany. .,Ageing Epidemiology (AGE) Research Unit, School of Public Health, Imperial College London, London, UK. .,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.
| | - Gerd Kempermann
- German Center for Neurodegenerative Diseases (DZNE) Dresden, Dresden, Germany.,Center for Regenerative Therapies Dresden (CRTD), Technische Universität Dresden, Dresden, Germany
| | - Amos D Korczyn
- Sackler School of Medicine, Tel- Aviv University, Ramat Aviv, Israel
| | - Fiona E Matthews
- Institute of Health and Society, Newcastle University Institute for Ageing, Newcastle University, Newcastle, UK.,MRC Biostatistics Unit, Cambridge University, Cambridge, UK
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Nikolaos Scarmeas
- Department of Social Medicine, Psychiatry and Neurology, 1st Department of Neurology, Aeginition University Hospital, National and Kapodistrian University of Athens, Athens, Greece.,Cognitive Neuroscience Division, Department of Neurology and The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA
| | - Gael Chetelat
- Université Normandie, Inserm, Université de Caen-Normandie, Inserm UMR-S U1237, GIP Cyceron, Caen, France
| | - Yaakov Stern
- Cognitive Neuroscience Division, Department of Neurology and The Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University Medical Center, New York, NY, USA
| | - Michael Ewers
- Institute for Stroke and Dementia Research, University Hospital, LMU Munich, Munich, Germany
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30
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Dekker I, Eijlers AJC, Popescu V, Balk LJ, Vrenken H, Wattjes MP, Uitdehaag BMJ, Killestein J, Geurts JJG, Barkhof F, Schoonheim MM. Predicting clinical progression in multiple sclerosis after 6 and 12 years. Eur J Neurol 2019; 26:893-902. [PMID: 30629788 PMCID: PMC6590122 DOI: 10.1111/ene.13904] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2018] [Accepted: 01/08/2019] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND PURPOSE To predict disability and cognition in multiple sclerosis (MS) after 6 and 12 years, using early clinical and imaging measures. METHODS A total of 115 patients with MS were selected and followed up after 2 and 6 years, with 79 patients also being followed up after 12 years. Disability was measured using the Expanded Disability Status Scale (EDSS); cognition was measured only at follow-up using neuropsychological testing. Predictors of interest included EDSS score, baseline brain and lesion volumes and their changes over 2 years, baseline age, clinical phenotype, sex and educational level. RESULTS Higher 6-year EDSS score was predicted by early EDSS score and whole-brain volume changes and baseline diagnosis of primary progressive MS (adjusted R2 = 0.56). Predictors for 12-year EDSS score included larger EDSS score changes and higher T1-hypointense lesion volumes (adjusted R2 = 0.38). Year 6 cognition was predicted by primary progressive MS phenotype, lower educational level, male sex and early whole-brain atrophy (adjusted R2 = 0.26); year 12 predictors included male sex, lower educational level and higher baseline T1-hypointense lesion volumes (adjusted R2 = 0.14). CONCLUSIONS Patients with early signs of neurodegeneration and a progressive disease onset were more prone to develop both disability progression and cognitive dysfunction. Male sex and lower educational level only affected cognitive dysfunction, which remains difficult to predict and probably needs more advanced imaging measures.
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Affiliation(s)
- I Dekker
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Department of Neurology, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - A J C Eijlers
- Department of Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - V Popescu
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - L J Balk
- Department of Neurology, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - H Vrenken
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - M P Wattjes
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Department of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Hannover, Germany
| | - B M J Uitdehaag
- Department of Neurology, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - J Killestein
- Department of Neurology, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - J J G Geurts
- Department of Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - F Barkhof
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Institutes of Neurology and Healthcare Engineering, UCL, London, UK
| | - M M Schoonheim
- Department of Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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Abstract
PURPOSE OF REVIEW The aim of this review is to summarize current conceptual models of cognitive reserve (CR) and related concepts and to discuss evidence for these concepts within the context of aging and Alzheimer's disease. RECENT FINDINGS Evidence to date supports the notion that higher levels of CR, as measured by proxy variables reflective of lifetime experiences, are associated with better cognitive performance, and with a reduced risk of incident mild cognitive impairment/dementia. However, the impact of CR on longitudinal cognitive trajectories is unclear and may be influenced by a number of factors. Although there is promising evidence that some proxy measures of CR may influence structural brain measures, more research is needed. The protective effects of CR may provide an important mechanism for preserving cognitive function and cognitive well-being with age, in part because it can be enhanced throughout the lifespan. However, more research on the mechanisms by which CR is protective is needed.
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Affiliation(s)
- Corinne Pettigrew
- Department of Neurology, Johns Hopkins University School of Medicine, 1620 McElderry St., Reed Hall 1-West, Baltimore, MD, 21205, USA
| | - Anja Soldan
- Department of Neurology, Johns Hopkins University School of Medicine, 1620 McElderry St., Reed Hall 1-West, Baltimore, MD, 21205, USA.
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Musella A, Gentile A, Rizzo FR, De Vito F, Fresegna D, Bullitta S, Vanni V, Guadalupi L, Stampanoni Bassi M, Buttari F, Centonze D, Mandolesi G. Interplay Between Age and Neuroinflammation in Multiple Sclerosis: Effects on Motor and Cognitive Functions. Front Aging Neurosci 2018; 10:238. [PMID: 30135651 PMCID: PMC6092506 DOI: 10.3389/fnagi.2018.00238] [Citation(s) in RCA: 74] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2018] [Accepted: 07/20/2018] [Indexed: 01/09/2023] Open
Abstract
Aging is one of the main risk factors for the development of many neurodegenerative diseases. Emerging evidence has acknowledged neuroinflammation as potential trigger of the functional changes occurring during normal and pathological aging. Two main determinants have been recognized to cogently contribute to neuroinflammation in the aging brain, i.e., the systemic chronic low-grade inflammation and the decline in the regulation of adaptive and innate immune systems (immunosenescence, ISC). The persistence of the inflammatory status in the brain in turn may cause synaptopathy and synaptic plasticity impairments that underlie both motor and cognitive dysfunctions. Interestingly, such inflammation-dependent synaptic dysfunctions have been recently involved in the pathophysiology of multiple sclerosis (MS). MS is an autoimmune neurodegenerative disease, typically affecting young adults that cause an early and progressive deterioration of both cognitive and motor functions. Of note, recent controlled studies have clearly shown that age at onset modifies prognosis and exerts a significant effect on presenting phenotype, suggesting that aging is a significant factor associated to the clinical course of MS. Moreover, some lines of evidence point to the different impact of age on motor disability and cognitive deficits, being the former most affected than the latter. The precise contribution of aging-related factors to MS neurological disability and the underlying molecular and cellular mechanisms are still unclear. In the present review article, we first emphasize the importance of the neuroinflammatory dependent mechanisms, such as synaptopathy and synaptic plasticity impairments, suggesting their potential exacerbation or acceleration with advancing age in the MS disease. Lastly, we provide an overview of clinical and experimental studies highlighting the different impact of age on motor disability and cognitive decline in MS, raising challenging questions on the putative age-related mechanisms involved.
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Affiliation(s)
- Alessandra Musella
- Laboratory of Synaptic Immunopathology, IRCCS San Raffaele Pisana, Rome, Italy.,San Raffaele University of Rome, Rome, Italy
| | - Antonietta Gentile
- Laboratory of Synaptic Immunopathology, Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy.,Unit of Neurology, Istituto Neurologico Mediterraneo (IRCCS Neuromed), Pozzilli, Italy
| | - Francesca Romana Rizzo
- Laboratory of Synaptic Immunopathology, Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Francesca De Vito
- Laboratory of Synaptic Immunopathology, IRCCS San Raffaele Pisana, Rome, Italy.,Laboratory of Synaptic Immunopathology, Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Diego Fresegna
- Laboratory of Synaptic Immunopathology, IRCCS San Raffaele Pisana, Rome, Italy.,Laboratory of Synaptic Immunopathology, Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Silvia Bullitta
- Laboratory of Synaptic Immunopathology, IRCCS San Raffaele Pisana, Rome, Italy.,Laboratory of Synaptic Immunopathology, Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Valentina Vanni
- Laboratory of Synaptic Immunopathology, IRCCS San Raffaele Pisana, Rome, Italy.,Laboratory of Synaptic Immunopathology, Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Livia Guadalupi
- Laboratory of Synaptic Immunopathology, IRCCS San Raffaele Pisana, Rome, Italy
| | | | - Fabio Buttari
- Unit of Neurology, Istituto Neurologico Mediterraneo (IRCCS Neuromed), Pozzilli, Italy
| | - Diego Centonze
- Laboratory of Synaptic Immunopathology, Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy.,Unit of Neurology, Istituto Neurologico Mediterraneo (IRCCS Neuromed), Pozzilli, Italy
| | - Georgia Mandolesi
- Laboratory of Synaptic Immunopathology, IRCCS San Raffaele Pisana, Rome, Italy.,San Raffaele University of Rome, Rome, Italy
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33
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Tremblay A, Jobin C, Demers M, Dagenais E, Narayanan S, Araújo D, Douglas AL, Roger E, Chamelian L, Duquette P, Rouleau I. Thalamic and hippocampal volume associated with memory functions in multiple sclerosis. Brain Cogn 2018; 125:61-68. [DOI: 10.1016/j.bandc.2018.05.013] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2017] [Revised: 05/28/2018] [Accepted: 05/29/2018] [Indexed: 11/28/2022]
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34
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Cerqueira JJ, Compston DAS, Geraldes R, Rosa MM, Schmierer K, Thompson A, Tinelli M, Palace J. Time matters in multiple sclerosis: can early treatment and long-term follow-up ensure everyone benefits from the latest advances in multiple sclerosis? J Neurol Neurosurg Psychiatry 2018; 89:844-850. [PMID: 29618493 PMCID: PMC6204938 DOI: 10.1136/jnnp-2017-317509] [Citation(s) in RCA: 93] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2017] [Revised: 02/02/2018] [Accepted: 02/22/2018] [Indexed: 12/26/2022]
Affiliation(s)
- João J Cerqueira
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal
- ICVS/3B’s, PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | | | - Ruth Geraldes
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Mario M Rosa
- Faculty of Medicine, University of Lisbon, Lisbon, Portugal
| | - Klaus Schmierer
- Blizard Institute, Barts and The London School of Medicine and Dentistry, London, UK
| | - Alan Thompson
- Faculty of Brain Sciences, University College London, London, UK
| | - Michela Tinelli
- LSE Enterprise, London School of Economics, London, UK
- Personal Social Services research Unit (PSSRU), London School of Economics and Political Science, London, UK
| | - Jacqueline Palace
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
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Santangelo G, Bisecco A, Trojano L, Sacco R, Siciliano M, d’Ambrosio A, Della Corte M, Lavorgna L, Bonavita S, Tedeschi G, Gallo A. Cognitive performance in multiple sclerosis: the contribution of intellectual enrichment and brain MRI measures. J Neurol 2018; 265:1772-1779. [DOI: 10.1007/s00415-018-8905-9] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Revised: 05/11/2018] [Accepted: 05/12/2018] [Indexed: 11/24/2022]
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36
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Martínez-Ginés ML, García-Domínguez JM, Forero L, Canal N, Rebollo P, Prefasi D, Honan CA, Maurino J. Spanish validation of a specific measure to assess work-related problems in people with multiple sclerosis: The Multiple Sclerosis Work Difficulties Questionnaire (MSWDQ-23). Mult Scler Relat Disord 2018; 22:115-119. [DOI: 10.1016/j.msard.2018.04.003] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2018] [Accepted: 04/02/2018] [Indexed: 01/30/2023]
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