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Litwińczuk MC, Muhlert N, Trujillo‐Barreto N, Woollams A. Impact of brain parcellation on prediction performance in models of cognition and demographics. Hum Brain Mapp 2024; 45:e26592. [PMID: 38339892 PMCID: PMC10831203 DOI: 10.1002/hbm.26592] [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: 06/21/2023] [Revised: 12/18/2023] [Accepted: 12/31/2023] [Indexed: 02/12/2024] Open
Abstract
Brain connectivity analysis begins with the selection of a parcellation scheme that will define brain regions as nodes of a network whose connections will be studied. Brain connectivity has already been used in predictive modelling of cognition, but it remains unclear if the resolution of the parcellation used can systematically impact the predictive model performance. In this work, structural, functional and combined connectivity were each defined with five different parcellation schemes. The resolution and modality of the parcellation schemes were varied. Each connectivity defined with each parcellation was used to predict individual differences in age, education, sex, executive function, self-regulation, language, encoding and sequence processing. It was found that low-resolution functional parcellation consistently performed above chance at producing generalisable models of both demographics and cognition. However, no single parcellation scheme showed a superior predictive performance across all cognitive domains and demographics. In addition, although parcellation schemes impacted the graph theory measures of each connectivity type (structural, functional and combined), these differences did not account for the out-of-sample predictive performance of the models. Taken together, these findings demonstrate that while high-resolution parcellations may be beneficial for modelling specific individual differences, partial voluming of signals produced by the higher resolution of the parcellation likely disrupts model generalisability.
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Affiliation(s)
| | - Nils Muhlert
- School of Health SciencesUniversity of ManchesterManchesterUK
| | | | - Anna Woollams
- School of Health SciencesUniversity of ManchesterManchesterUK
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Sun D, Wang R, Du Q, Zhang Y, Chen H, Shi Z, Wang X, Zhou H. Causal relationship between multiple sclerosis and cortical structure: a Mendelian randomization study. J Transl Med 2024; 22:83. [PMID: 38245759 PMCID: PMC10800041 DOI: 10.1186/s12967-024-04892-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Accepted: 01/13/2024] [Indexed: 01/22/2024] Open
Abstract
BACKGROUND Observational studies have suggested an association between multiple sclerosis (MS) and cortical structure, but the results have been inconsistent. OBJECTIVE We used two-sample Mendelian randomization (MR) to assess the causal relationship between MS and cortical structure. METHODS MS data as the exposure trait, including 14,498 cases and 24,091 controls, were obtained from the International Multiple Sclerosis Genetics Consortium. Genome-wide association study (GWAS) data for cortical surface area (SAw/nw) and thickness (THw/nw) in 51,665 individuals of European ancestry were obtained from the ENIGMA Consortium. The inverse-variance weighted (IVW) method was used as the primary analysis for MR. Sensitivity analyses were conducted to evaluate heterogeneity and pleiotropy. Enrichment analysis was performed on MR analyses filtered by sensitivity analysis. RESULTS After IVW and sensitivity analysis filtering, only six surviving MR results provided suggestive evidence supporting a causal relationship between MS and cortical structure, including lingual SAw (p = .0342, beta (se) = 5.7127 (2.6969)), parahippocampal SAw (p = .0224, beta (se) = 1.5577 (0.6822)), rostral middle frontal SAw (p = .0154, beta (se) = - 9.0301 (3.7281)), cuneus THw (p = .0418, beta (se) = - 0.0020 (0.0010)), lateral orbitofrontal THw (p = .0281, beta (se) = 0.0025 (0.0010)), and lateral orbitofrontal THnw (p = .0417, beta (se) = 0.0029 (0.0014)). Enrichment analysis suggested that leukocyte cell-related pathways, JAK-STAT signaling pathway, NF-kappa B signaling pathway, cytokine-cytokine receptor interaction, and prolactin signaling pathway may be involved in the effect of MS on cortical morphology. CONCLUSION Our results provide evidence supporting a causal relationship between MS and cortical structure. Enrichment analysis suggests that the pathways mediating brain morphology abnormalities in MS patients are mainly related to immune and inflammation-driven pathways.
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Affiliation(s)
- Dongren Sun
- Department of Neurology, West China Hospital, Sichuan University, Guo Xuexiang #37, Chengdu, 610041, China
| | - Rui Wang
- Department of Neurology, West China Hospital, Sichuan University, Guo Xuexiang #37, Chengdu, 610041, China
| | - Qin Du
- Department of Neurology, West China Hospital, Sichuan University, Guo Xuexiang #37, Chengdu, 610041, China
| | - Ying Zhang
- Department of Neurology, West China Hospital, Sichuan University, Guo Xuexiang #37, Chengdu, 610041, China
| | - Hongxi Chen
- Department of Neurology, West China Hospital, Sichuan University, Guo Xuexiang #37, Chengdu, 610041, China
| | - Ziyan Shi
- Department of Neurology, West China Hospital, Sichuan University, Guo Xuexiang #37, Chengdu, 610041, China
| | - Xiaofei Wang
- Department of Neurology, West China Hospital, Sichuan University, Guo Xuexiang #37, Chengdu, 610041, China.
| | - Hongyu Zhou
- Department of Neurology, West China Hospital, Sichuan University, Guo Xuexiang #37, Chengdu, 610041, China.
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Chylińska M, Karaszewski B, Komendziński J, Wyszomirski A, Hałas M, Szurowska E, Sabisz A. The association between white matter tract structural connectivity and information processing speed in relapsing-remitting multiple sclerosis. Neurol Sci 2023; 44:3221-3232. [PMID: 37103603 PMCID: PMC10415523 DOI: 10.1007/s10072-023-06817-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Accepted: 04/12/2023] [Indexed: 04/28/2023]
Abstract
BACKGROUND Information processing speed (IPS) deterioration is common in relapsing-remitting multiple sclerosis (RRMS) patients [1] and might severely affect quality of life and occupational activity. However, understanding of its neural substrate is not fully elucidated. We aimed to investigate the associations between MRI-derived metrics of neuroanatomical structures, including the tracts, and IPS. METHODS Symbol Digit Modalities Test (SDMT), Paced Auditory Serial Addition Test (PASAT), and Color Trails Test (CTT) were used to evaluate IPS in 73 RRMS consecutive patients, all undergoing only interferon beta (IFN-β) therapy during the study. At the same time, 1.5T MRI including diffusion tensor imaging (DTI) data was acquired for each recruited subject. We analyzed volumetric and diffusion MRI measures (FreeSurfer 6.0) including normalized brain volume (NBV), cortical thickness (thk), white matter hypointensities (WMH), volume (vol), diffusion parameters: mean (MD), radial (RD), axial (AD) diffusivities, and fractional anisotropy (FA) of 18 major white-matter (WM) tracts. Multiple linear regression model with interaction resulted in distinguishing the neural substrate of IPS deficit in the IPS impaired subgroup of patients. RESULTS The most significant tract abnormalities contributing to IPS deficit were right inferior longitudinal fasciculus (R ILF) FA, forceps major (FMAJ) FA, forceps minor (FMIN) FA, R uncinate fasciculus (UNC) AD, R corticospinal tract (CST) FA, and left superior longitudinal fasciculus FA (L SLFT). Among volumetric MRI metrics, IPS deficit was associated with L and R thalamic vol. and cortical thickness of insular regions. CONCLUSION In this study, we showed that disconnection of the selected WM tracts, in addition to cortical and deep gray matter (GM) atrophy, might underlie IPS deficit in RRMS patients but more extensive studies are needed for precise associations.
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Affiliation(s)
- Magdalena Chylińska
- Department of Adult Neurology, Faculty of Medicine, Medical University of Gdańsk, Dębinki 7, 80-211, Gdańsk, Poland.
| | - Bartosz Karaszewski
- Department of Adult Neurology, Faculty of Medicine, Medical University of Gdańsk, Dębinki 7, 80-211, Gdańsk, Poland.
| | - Jakub Komendziński
- Department of Adult Neurology, Faculty of Medicine, Medical University of Gdańsk, Dębinki 7, 80-211, Gdańsk, Poland
| | - Adam Wyszomirski
- Department of Adult Neurology, Faculty of Medicine, Medical University of Gdańsk, Dębinki 7, 80-211, Gdańsk, Poland
| | - Marek Hałas
- Department of Adult Neurology, Faculty of Medicine, Medical University of Gdańsk, Dębinki 7, 80-211, Gdańsk, Poland
| | - Edyta Szurowska
- Second Department of Radiology, Faculty of Medicine, Medical University of Gdańsk, Gdańsk, Poland
| | - Agnieszka Sabisz
- Second Department of Radiology, Faculty of Medicine, Medical University of Gdańsk, Gdańsk, Poland
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Theodorsdottir A, Nielsen HH, Ravnborg MH, Illes Z. Patient reported outcomes in a secondary progressive MS cohort related to cognition, MRI and physical outcomes. Mult Scler Relat Disord 2023; 71:104550. [PMID: 36842312 DOI: 10.1016/j.msard.2023.104550] [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: 10/20/2022] [Revised: 01/03/2023] [Accepted: 02/02/2023] [Indexed: 02/07/2023]
Abstract
BACKGROUND Patient-reported outcomes (PROs) are increasingly being used as outcomes in secondary progressive multiple sclerosis (SPMS) trials. We examined how PROs reflect disease burden in SPMS. METHODS In this observational prospective study, 65 SPMS patients were examined by five different PROs (Fatigue Scale Motor Cognition (FSMC), Multiple Sclerosis Impact Scale version 2 (MSIS-29v2), 36-Item Short Form Health Survey version 2 (SF-36v2), EQ-5D-5L and Work Productivity and Activity Impairment Questionnaire: Multiple Sclerosis version 2.0 (WPAI:MS)); two different rating scales, Multiple Sclerosis Impairment Scale (MSIS) and Expanded Disability Status Scale (EDSS); functional tests of mobility (Timed-25-Foot Walk (T-25FW), 6-Spot Step Test (6-SST) and (9-Hole Peg Test (9-HPT)); cognitive tests (Symbol Digital Modalities Test (SDMT) and Brief Visuospatial Memory Test-Revised (BVMT-R)); and multimodal Magnetic Resonance Imaging (MRI). RESULTS When the PROs were divided into physical and psychological subscores, the PRO physical subscores of FSMC, MSIS-29v2 and SF-36v2 correlated with physical rating scales (EDSS, MSIS) and physical measures of upper (9-HPT) and lower extremity function (T-25FW and 6-SST)) (p = 0.04-0.0001). 9-HPT correlated the least with physical subscores of PROs but showed the strongest correlation with activity impairment (subscore of WPAI:MS). In contrast, psychological PRO subscores of FSMC, MSIS-29v2 and SF-36v2 did not reflect the cognitive outcomes (SDMT and BVMT-R), although the cognitive scores correlated with disease burden indicated by MRI lesion volumes. The psychological PRO subscores did not correlate with fatigue, physical and MRI outcomes either. CONCLUSION Correlation between PRO physical subscores and physical outcomes supports PROs as potentially useful clinical endpoints in SPMS. The results of this study indicate that patients with SPMS highly perceive their mobility on function of their lower extremities, while they perceive their daily activities highly dependent on function of the upper extremities. Psychological subscores of MS specific PROs may be less suitable as surrogate markers for the cognitive status and should be considered as a mental quality of life measurement independent of disease burden.
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Affiliation(s)
- A Theodorsdottir
- Department of Neurology, Odense University Hospital, J.B. Winsloewsvej 4, 5000 Odense C, Denmark; OPEN, Odense Patient Data Explorative Network, Odense University Hospital, Odense, J.B. Winsloewsvej 4, 5000 Odense C, Denmark.
| | - H H Nielsen
- Department of Neurology, Odense University Hospital, J.B. Winsloewsvej 4, 5000 Odense C, Denmark; Department of Neurobiology Research, Institute of Molecular Medicine, University of Southern Denmark, J.B. Winsloewsvej 21, st., 5000 Odense C, Denmark; BRIDGE - Brain Research - Inter Disciplinary Guided Excellence, Department of Clinical Research, J.B. Winsloewsvej 19, 3., 5000 Odense C, Denmark
| | - M H Ravnborg
- Filadelfia Epilepsy Hospital, Kolonivej 1, 4293 Dianalund, Denmark
| | - Z Illes
- Department of Neurology, Odense University Hospital, J.B. Winsloewsvej 4, 5000 Odense C, Denmark; Department of Neurobiology Research, Institute of Molecular Medicine, University of Southern Denmark, J.B. Winsloewsvej 21, st., 5000 Odense C, Denmark; BRIDGE - Brain Research - Inter Disciplinary Guided Excellence, Department of Clinical Research, J.B. Winsloewsvej 19, 3., 5000 Odense C, Denmark
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Radial diffusivity reflects general decline rather than specific cognitive deterioration in multiple sclerosis. Sci Rep 2022; 12:21771. [PMID: 36526708 PMCID: PMC9758146 DOI: 10.1038/s41598-022-26204-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 12/12/2022] [Indexed: 12/23/2022] Open
Abstract
Advanced structural brain imaging techniques, such as diffusion tensor imaging (DTI), have been used to study the relationship between DTI-parameters and cognitive scores in multiple sclerosis (MS). In this study, we assessed cognitive function in 61 individuals with MS and a control group of 35 healthy individuals with the Symbol Digit Modalities Test, the California Verbal Learning Test-II, the Brief Visuospatial Memory Test-Revised, the Controlled Oral Word Association Test, and Stroop-test. We also acquired diffusion-weighted images (b = 1000; 32 directions), which were processed to obtain the following DTI scalars: fractional anisotropy, mean, axial, and radial diffusivity. The relation between DTI scalars and cognitive parameters was assessed through permutations. Although fractional anisotropy and axial diffusivity did not correlate with any of the cognitive tests, mean and radial diffusivity were negatively correlated with all of these tests. However, this effect was not specific to any specific white matter tract or cognitive test and demonstrated a general effect with only low to moderate individual voxel-based correlations of <0.6. Similarly, lesion and white matter volume show a general effect with medium to high voxel-based correlations of 0.5-0.8. In conclusion, radial diffusivity is strongly related to cognitive impairment in MS. However, the strong associations of radial diffusivity with both cognition and whole brain lesion volume suggest that it is a surrogate marker for general decline in MS, rather than a marker for specific cognitive functions.
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Manglani HR, Fountain-Zaragoza S, Shankar A, Nicholas JA, Prakash RS. Employing Connectome-Based Models to Predict Working Memory in Multiple Sclerosis. Brain Connect 2022; 12:502-514. [PMID: 34309408 PMCID: PMC10039278 DOI: 10.1089/brain.2021.0037] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023] Open
Abstract
Introduction: Individuals with multiple sclerosis (MS) are vulnerable to deficits in working memory (WM), but the search for neural correlates of WM within circumscribed areas has been inconclusive. Given the widespread neural alterations observed in MS, predictive modeling approaches that capitalize on whole-brain connectivity may better capture individual differences in WM. Materials and Methods: We applied connectome-based predictive modeling to functional magnetic resonance imaging data from WM tasks in two independent samples with relapsing-remitting MS. In the internal sample (ninternal = 36), cross-validation was used to train a model to predict accuracy on the Paced Visual Serial Addition Test from functional connectivity. We hypothesized that this MS-specific model would successfully predict performance on the N-back task in the validation cohort (nvalidation = 36). In addition, we assessed the generalizability of existing WM networks derived in healthy young adults to these samples, and we explored anatomical differences between the healthy and MS networks. Results: We successfully derived an MS-specific predictive model of WM in the internal sample (full: rs = 0.47, permuted p = 0.011), but the predictions were not significant in the validation cohort (rs = -0.047; p = 0.78, mean squared error [MSE] = 0.006, R2 = -2.21%). In contrast, the healthy networks successfully predicted WM in both MS samples (internal: rs = 0.33 p = 0.049, MSE = 0.009, R2 = 13.4%; validation cohort: rs = 0.46, p = 0.005, MSE = 0.005, R2 = 16.9%), demonstrating their translational potential. Discussion: Functional networks identified in a large sample of healthy individuals predicted significant variance in WM in MS. Networks derived in small samples of people with MS may have limited generalizability, potentially due to disease-related heterogeneity. The robustness of models derived in large clinical samples warrants further investigation. ClinicalTrials.gov ID: NCT03244696.
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Affiliation(s)
- Heena R Manglani
- Department of Psychology, The Ohio State University, Columbus, Ohio, USA
- Center for Cognitive and Behavioral Brain Imaging, The Ohio State University, Columbus, Ohio, USA
| | - Stephanie Fountain-Zaragoza
- Department of Psychology, The Ohio State University, Columbus, Ohio, USA
- Center for Cognitive and Behavioral Brain Imaging, The Ohio State University, Columbus, Ohio, USA
| | - Anita Shankar
- Department of Psychology, The Ohio State University, Columbus, Ohio, USA
- Center for Cognitive and Behavioral Brain Imaging, The Ohio State University, Columbus, Ohio, USA
| | | | - Ruchika Shaurya Prakash
- Department of Psychology, The Ohio State University, Columbus, Ohio, USA
- Center for Cognitive and Behavioral Brain Imaging, The Ohio State University, Columbus, Ohio, USA
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Giurgola S, Casati C, Stampatori C, Perucca L, Mattioli F, Vallar G, Bolognini N. Abnormal multisensory integration in relapsing–remitting multiple sclerosis. Exp Brain Res 2022; 240:953-968. [PMID: 35094114 PMCID: PMC8918188 DOI: 10.1007/s00221-022-06310-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Accepted: 01/15/2022] [Indexed: 12/22/2022]
Abstract
Temporal Binding Window (TBW) represents a reliable index of efficient multisensory integration process, which allows individuals to infer which sensory inputs from different modalities pertain to the same event. TBW alterations have been reported in some neurological and neuropsychiatric disorders and seem to negatively affects cognition and behavior. So far, it is still unknown whether deficits of multisensory integration, as indexed by an abnormal TBW, are present even in Multiple Sclerosis. We addressed this issue by testing 25 participants affected by relapsing–remitting Multiple Sclerosis (RRMS) and 30 age-matched healthy controls. Participants completed a simultaneity judgment task (SJ2) to assess the audio-visual TBW; two unimodal SJ2 versions were used as control tasks. Individuals with RRMS showed an enlarged audio-visual TBW (width range = from − 166 ms to + 198 ms), as compared to healthy controls (width range = − 177/ + 66 ms), thus showing an increased tendency to integrate temporally asynchronous visual and auditory stimuli. Instead, simultaneity perception of unimodal (visual or auditory) events overall did not differ from that of controls. These results provide first evidence of a selective deficit of multisensory integration in individuals affected by RRMS, besides the well-known motor and cognitive impairments. The reduced multisensory temporal acuity is likely caused by a disruption of the neural interplay between different sensory systems caused by multiple sclerosis.
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Affiliation(s)
- Serena Giurgola
- Department of Psychology and NeuroMI, University of Milano-Bicocca, Piazza dell’Ateneo Nuovo 1, 20126 Milan, Italy
| | - Carlotta Casati
- Neuropsychology Laboratory, IRCCS Istituto Auxologico Italiano, Milan, Italy
- Neurorehabilitation Sciences, IRCCS Istituto Auxologico Italiano, Milan, Italy
| | | | - Laura Perucca
- Neurorehabilitation Sciences, IRCCS Istituto Auxologico Italiano, Milan, Italy
| | - Flavia Mattioli
- Neuropsychology Unit, Spedali Civili of Brescia, Brescia, Italy
| | - Giuseppe Vallar
- Department of Psychology and NeuroMI, University of Milano-Bicocca, Piazza dell’Ateneo Nuovo 1, 20126 Milan, Italy
- Neuropsychology Laboratory, IRCCS Istituto Auxologico Italiano, Milan, Italy
| | - Nadia Bolognini
- Department of Psychology and NeuroMI, University of Milano-Bicocca, Piazza dell’Ateneo Nuovo 1, 20126 Milan, Italy
- Neuropsychology Laboratory, IRCCS Istituto Auxologico Italiano, Milan, Italy
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Pitteri M, Dapor C, Ziccardi S, Guandalini M, Meggiato R, Calabrese M. A Videogame-Based Approach to Measuring Information Processing Speed in Multiple Sclerosis Patients. Games Health J 2021; 10:115-120. [PMID: 33818136 DOI: 10.1089/g4h.2020.0069] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Objective: Slowing information processing speed (IPS) is a biomarker of neuronal damage in patients with multiple sclerosis (pwMS). A focus on IPS might be the ideal solution in the perspective of promptly detecting cognitive changes over time. We developed a tablet-based home-made videogame to test the sensitivity of this device in measuring subclinical IPS in pwMS. Materials and Methods: Forty-three pwMS without cognitive impairment and 20 healthy controls (HCs) were administered the videogame task with a tablet. Response times (RTs) and accuracy were recorded. Results: PwMS (mean RTs = 505.5 ± 73.9 ms) were significantly slower than HCs (mean RTs = 462.3 ± 40.3 ms, P = 0.014) on the videogame task. A moderate but significant correlation (r = -0.35, P = 0.03) between mean RTs and the Symbol Digit Modalities Test was observed. Conclusion: Our videogame showed good sensitivity in measuring IPS in apparently cognitive normal pwMS. Computerized testing might be useful in screening initial cognitive dysfunction that should be monitored as a marker of underlying disease progression. IRB approval Number is 2332CESC.
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Affiliation(s)
- Marco Pitteri
- Neurology Section, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Caterina Dapor
- Neurology Section, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Stefano Ziccardi
- Neurology Section, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Maddalena Guandalini
- Neurology Section, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Riccardo Meggiato
- Neurology Section, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Massimiliano Calabrese
- Neurology Section, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
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Govindarajan ST, Liu Y, Parra Corral MA, Bangiyev L, Krupp L, Charvet L, Duong TQ. White matter correlates of slowed information processing speed in unimpaired multiple sclerosis patients with young age onset. Brain Imaging Behav 2021; 15:1460-1468. [PMID: 32748319 DOI: 10.1007/s11682-020-00345-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Slowed information processing speed is among the earliest markers of cognitive impairment in multiple sclerosis (MS) and has been associated with white matter (WM) structural integrity. Localization of WM tracts associated with slowing, but not significant impairment, on specific cognitive tasks in pediatric and young age onset MS can facilitate early and effective therapeutic intervention. Diffusion tensor imaging data were collected on 25 MS patients and 24 controls who also underwent the Symbol Digit Modalities Test (SDMT) and the computer-based Cogstate simple and choice reaction time tests. Fractional anisotropy (FA), mean (MD), radial (RD) and axial (AD) diffusivities were correlated voxel-wise with processing speed measures. All DTI metrics of several white matter tracts were significantly different between groups (p < 0.05). Notably, higher MD, RD, and AD, but not FA, in the corpus callosum correlated with lower scores on both SDMT and simple reaction time. Additionally, all diffusivity metrics in the left corticospinal tract correlated negatively with SDMT scores, whereas only MD in the right superior fronto-occipital fasciculus correlated with simple reaction time. In conclusion, subtle slowing of processing speed is correlated with WM damage in the visual-motor processing pathways in patients with young age of MS onset.
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Affiliation(s)
| | - Yilin Liu
- Department of Radiology, Stony Brook University School of Medicine, Stony Brook, NY, USA
| | | | - Lev Bangiyev
- Department of Neurology, New York University Grossman School of Medicine, New York, NY, USA
| | - Lauren Krupp
- Department of Neurology, New York University Grossman School of Medicine, New York, NY, USA
| | - Leigh Charvet
- Department of Neurology, New York University Grossman School of Medicine, New York, NY, USA
| | - Tim Q Duong
- Department of Radiology, Stony Brook University School of Medicine, Stony Brook, NY, USA.
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Doskas T, Vavougios GD, Karampetsou P, Kormas C, Synadinakis E, Stavrogianni K, Sionidou P, Serdari A, Vorvolakos T, Iliopoulos I, Vadikolias Κ. Neurocognitive impairment and social cognition in multiple sclerosis. Int J Neurosci 2021; 132:1229-1244. [PMID: 33527857 DOI: 10.1080/00207454.2021.1879066] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
PURPOSE/AIM OF THE STUDY The impairment of neurocognitive functions occurs in all subtypes of multiple sclerosis, even from the earliest stages of the disease. Commonly reported manifestations of cognitive impairment include deficits in attention, conceptual reasoning, processing efficiency, information processing speed, memory (episodic and working), verbal fluency (language), and executive functions. Multiple sclerosis patients also suffer from social cognition impairment, which affects their social functioning. The objective of the current paper is to assess the effect of neurocognitive impairment and its potential correlation with social cognition performance and impairment in multiple sclerosis patients. MATERIALS AND METHODS An overview of the available-to-date literature on neurocognitive impairment and social cognition performance in multiple sclerosis patients by disease subtype was performed. RESULTS It is not clear if social cognition impairment occurs independently or secondarily to neurocognitive impairment. There are associations of variable strengths between neurocognitive and social cognition deficits and their neural basis is increasingly investigated. CONCLUSIONS The prompt detection of neurocognitive predictors of social cognition impairment that may be applicable to all multiple sclerosis subtypes and intervention are crucial to prevent further neural and social cognition decline in multiple sclerosis patients.
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Affiliation(s)
- Triantafyllos Doskas
- Department of Neurology, Athens Naval Hospital, Athens, Greece.,Department of Neurology, University Hospital of Alexandroupolis, Alexandroupolis, Greece
| | | | | | | | | | | | | | - Aspasia Serdari
- Department of Psychiatry, University Hospital of Alexandroupolis, Alexandroupolis, Greece
| | - Theofanis Vorvolakos
- Department of Psychiatry, University Hospital of Alexandroupolis, Alexandroupolis, Greece
| | - Ioannis Iliopoulos
- Department of Neurology, University Hospital of Alexandroupolis, Alexandroupolis, Greece
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Meng D, Welton T, Elsarraj A, Morgan PS, das Nair R, Constantinescu CS, Evangelou N, Auer DP, Dineen RA. Dorsolateral prefrontal circuit effective connectivity mediates the relationship between white matter structure and PASAT-3 performance in multiple sclerosis. Hum Brain Mapp 2021; 42:495-509. [PMID: 33073920 PMCID: PMC7776003 DOI: 10.1002/hbm.25239] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 09/21/2020] [Accepted: 09/29/2020] [Indexed: 11/15/2022] Open
Abstract
Three decades ago a series of parallel circuits were described involving the frontal cortex and deep grey matter structures, with putative roles in control of motor and oculomotor function, cognition, behaviour and emotion. The circuit comprising the dorsolateral prefrontal cortex, caudate, globus pallidus and thalamus has a putative role in regulating executive functions. The aim of this study is to investigate effective connectivity (EC) of the dorsolateral-prefrontal circuit and its association with PASAT-3 performance in people with multiple sclerosis(MS). We use Granger causality analysis of resting-state functional MRI from 52 people with MS and 36 healthy people to infer that reduced EC in the afferent limb of the dorsolateral prefrontal circuit occurs in the people with MS with cognitive dysfunction (left: p = .006; right: p = .029), with bilateral EC reductions in this circuit resulting in more severe cognitive dysfunction than unilateral reductions alone (p = .002). We show that reduced EC in the afferent limb of the dorsolateral prefrontal circuit mediates the relationship between cognitive performance and macrostrucutral and microstructural alterations of white matter tracts in components of the circuit. Specificity is shown by the absence of any relationship between cognition and EC in the analogous and anatomically proximal motor circuit. We demonstrate good stability of the EC measures in people with MS over an interval averaging 8-months. Key positive and negative results are replicated in an independent cohort of people with MS. Our findings identify the dorsolateral prefrontal circuit as a potential target for therapeutic strategies aimed at improving cognition in people with MS.
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Affiliation(s)
- Dewen Meng
- Radiological Sciences, Division of Clinical Neuroscience, School of MedicineUniversity of NottinghamNottinghamUK
- Sir Peter Mansfield Imaging Centre, School of MedicineUniversity of NottinghamNottinghamUK
- NIHR Nottingham Biomedical Research Centre, Queen's Medical CentreUniversity of NottinghamNottinghamUK
| | - Thomas Welton
- Radiological Sciences, Division of Clinical Neuroscience, School of MedicineUniversity of NottinghamNottinghamUK
- National Neuroscience InstituteTan Tock Seng HospitalSingaporeSingapore
| | - Afaf Elsarraj
- Radiological Sciences, Division of Clinical Neuroscience, School of MedicineUniversity of NottinghamNottinghamUK
| | - Paul S. Morgan
- Sir Peter Mansfield Imaging Centre, School of MedicineUniversity of NottinghamNottinghamUK
- NIHR Nottingham Biomedical Research Centre, Queen's Medical CentreUniversity of NottinghamNottinghamUK
- Medical Physics and Clinical EngineeringNottingham University Hospitals NHS TrustNottinghamUK
| | - Roshan das Nair
- Institute of Mental HealthUniversity of NottinghamNottinghamUK
- Division of Psychiatry & Applied Psychology, School of MedicineUniversity of NottinghamNottinghamUK
| | - Cris S. Constantinescu
- Clinical Neurology, Division of Clinical Neuroscience, School of MedicineUniversity of NottinghamNottinghamUK
| | - Nikos Evangelou
- Clinical Neurology, Division of Clinical Neuroscience, School of MedicineUniversity of NottinghamNottinghamUK
| | - Dorothee P. Auer
- Radiological Sciences, Division of Clinical Neuroscience, School of MedicineUniversity of NottinghamNottinghamUK
- Sir Peter Mansfield Imaging Centre, School of MedicineUniversity of NottinghamNottinghamUK
- NIHR Nottingham Biomedical Research Centre, Queen's Medical CentreUniversity of NottinghamNottinghamUK
| | - Rob A. Dineen
- Radiological Sciences, Division of Clinical Neuroscience, School of MedicineUniversity of NottinghamNottinghamUK
- Sir Peter Mansfield Imaging Centre, School of MedicineUniversity of NottinghamNottinghamUK
- NIHR Nottingham Biomedical Research Centre, Queen's Medical CentreUniversity of NottinghamNottinghamUK
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12
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Neuroimaging Biomarkers and Neurocognitive Outcomes in Pediatric Medulloblastoma Patients: a Systematic Review. THE CEREBELLUM 2021; 20:462-480. [PMID: 33417160 DOI: 10.1007/s12311-020-01225-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 12/06/2020] [Indexed: 10/22/2022]
Abstract
Medulloblastoma is a malign posterior fossa brain tumor, mostly occurring in childhood. The CNS-directed chemoradiotherapy treatment can be very harmful to the developing brain and functional outcomes of these patients. However, what the underlying neurotoxic mechanisms are remain inconclusive. Hence, this review summarizes the existing literature on the association between advanced neuroimaging and neurocognitive changes in patients that were treated for pediatric medulloblastoma. The PubMed/Medline database was extensively screened for studies investigating the link between cognitive outcomes and multimodal magnetic resonance (MR) imaging in childhood medulloblastoma survivors. A behavioral meta-analysis was performed on the available IQ scores. A total of 649 studies were screened, of which 22 studies were included. Based on this literature review, we conclude medulloblastoma patients to be at risk for white matter volume loss, more frequent white matter lesions, and changes in white matter microstructure. Such microstructural alterations were associated with lower IQ, which reached the clinical cut-off in survivors across studies. Using functional MR scans, changes in activity were observed in cerebellar areas, associated with working memory and processing speed. Finally, cerebral microbleeds were encountered more often, but these were not associated with cognitive outcomes. Regarding intervention studies, computerized cognitive training was associated with changes in prefrontal and cerebellar activation and physical training might result in microstructural and cortical alterations. Hence, to better define the neural targets for interventions in pediatric medulloblastoma patients, this review suggests working towards neuroimaging-based predictions of cognitive outcomes. To reach this goal, large multimodal prospective imaging studies are highly recommended.
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Manca R, Mitolo M, Wilkinson ID, Paling D, Sharrack B, Venneri A. A network-based cognitive training induces cognitive improvements and neuroplastic changes in patients with relapsing-remitting multiple sclerosis: an exploratory case-control study. Neural Regen Res 2021; 16:1111-1120. [PMID: 33269758 PMCID: PMC8224115 DOI: 10.4103/1673-5374.300450] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
Cognitive impairments are commonly observed in patients with multiple sclerosis and are associated with lower levels of quality of life. No consensus has been reached on how to tackle effectively cognitive decline in this clinical population non-pharmacologically. This exploratory case-control study aims to investigate the effectiveness of a hypothesis-based cognitive training designed to target multiple domains by promoting the synchronous co-activation of different brain areas and thereby improve cognition and induce changes in functional connectivity in patients with relapsing-remitting multiple sclerosis. Forty-five patients (36 females and 9 males, mean age 44.62 ± 8.80 years) with clinically stable relapsing-remitting multiple sclerosis were assigned to either a standard cognitive training or to control groups (sham training and non-active control). The standard training included twenty sessions of computerized exercises involving various cognitive functions supported by distinct brain networks. The sham training was a modified version of the standard training that comprised the same exercises and number of sessions but with increased processing speed load. The non-active control group received no cognitive training. All patients underwent comprehensive neuropsychological and magnetic resonance imaging assessments at baseline and after 5 weeks. Cognitive and resting-state magnetic resonance imaging data were analyzed using repeated measures models. At reassessment, the standard training group showed significant cognitive improvements compared to both control groups in memory tasks not specifically targeted by the training: the Buschke Selective Reminding Test and the Semantic Fluency test. The standard training group showed reductions in functional connectivity of the salience network, in the anterior cingulate cortex, associated with improvements on the Buschke Selective Reminding Test. No changes were observed in the sham training group. These findings suggest that multi-domain training that stimulates multiple brain areas synchronously may improve cognition in people with relapsing-remitting multiple sclerosis if sufficient time to process training material is allowed. The associated reduction in functional connectivity of the salience network suggests that training-induced neuroplastic functional reorganization may be the mechanism supporting performance gains. This study was approved by the Regional Ethics Committee of Yorkshire and Humber (approval No. 12/YH/0474) on November 20, 2013.
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Affiliation(s)
- Riccardo Manca
- Department of Neuroscience, University of Sheffield, Sheffield, UK
| | - Micaela Mitolo
- Department of Neuroscience, University of Sheffield, Sheffield, UK; Istituto di Ricovero e Cura a Carattere Scientifico Istituto delle Scienze Neurologiche di Bologna, Diagnostica Funzionale Neuroradiologica, Bologna, Italy
| | - Iain D Wilkinson
- Academic Unit of Radiology, University of Sheffield, Sheffield, UK
| | - David Paling
- Department of Neuroscience, University of Sheffield; Academic Department of Neuroscience, Sheffield Teaching Hospital, National Health Service Foundation Trust, Sheffield, UK
| | - Basil Sharrack
- Academic Department of Neuroscience, Sheffield Teaching Hospital, National Health Service Foundation Trust, Sheffield, UK
| | - Annalena Venneri
- Department of Neuroscience, University of Sheffield, Sheffield, UK
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14
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van Oirschot P, Heerings M, Wendrich K, den Teuling B, Martens MB, Jongen PJ. Symbol Digit Modalities Test Variant in a Smartphone App for Persons With Multiple Sclerosis: Validation Study. JMIR Mhealth Uhealth 2020; 8:e18160. [PMID: 33016886 PMCID: PMC7573704 DOI: 10.2196/18160] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Revised: 07/16/2020] [Accepted: 07/26/2020] [Indexed: 01/28/2023] Open
Abstract
Background The decline of cognitive processing speed (CPS) is a common dysfunction in persons with multiple sclerosis (MS). The Symbol Digit Modalities Test (SDMT) is widely used to formally quantify CPS. We implemented a variant of the SDMT in MS sherpa, a smartphone app for persons with MS. Objective The aim of this study was to investigate the construct validity and test-retest reliability of the MS sherpa smartphone variant of the SDMT (sSDMT). Methods We performed a validation study with 25 persons with relapsing-remitting MS and 79 healthy control (HC) subjects. In the HC group, 21 subjects were matched to the persons with MS with regard to age, gender, and education and they followed the same assessment schedule as the persons with MS (the “HC matched” group) and 58 subjects had a less intense assessment schedule to determine reference values (the “HC normative” group). Intraclass correlation coefficients (ICCs) were determined between the paper-and-pencil SDMT and its smartphone variant (sSDMT) on 2 occasions, 4 weeks apart. Other ICCs were determined for test-retest reliability, which were derived from 10 smartphone tests per study participant, with 3 days in between each test. Seven study participants with MS were interviewed regarding their experiences with the sSDMT. Results The SDMT scores were on average 12.06% higher than the sSDMT scores, with a standard deviation of 10.68%. An ICC of 0.838 was found for the construct validity of the sSDMT in the combined analysis of persons with MS and HC subjects. Average ICCs for test-retest reliability of the sSDMT for persons with MS, the HC matched group, and the HC normative group were 0.874, 0.857, and 0.867, respectively. The practice effect was significant between the first and the second test of the persons with MS and the HC matched group and trivial for all other test-retests. The interviewed study participants expressed a positive attitude toward the sSDMT, but they also discussed the importance of adapting a smartphone cognition test in accordance with the needs of the individual persons with MS. Conclusions The high correlation between sSDMT and the conventional SDMT scores indicates a very good construct validity. Similarly, high correlations underpin a very good test-retest reliability of the sSDMT. We conclude that the sSDMT has the potential to be used as a tool to monitor CPS in persons with MS, both in clinical studies and in clinical practice.
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Affiliation(s)
| | - Marco Heerings
- Dutch National MS Foundation, Rotterdam, Netherlands.,Radboud University Medical Center, Nijmegen, Netherlands
| | - Karine Wendrich
- Faculty of Science, Institute for Science in Society, Radboud University, Nijmegen, Netherlands
| | | | - Marijn B Martens
- Drug Target ID, Nijmegen, Netherlands.,NeuroDrug Research BV, Nijmegen, Netherlands
| | - Peter J Jongen
- Department of Community & Occupational Medicine, University Medical Centre Groningen, Groningen, Netherlands.,MS4 Research Institute, Nijmegen, Netherlands
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Olfactory identification associates with cognitive function and the third ventricle width in patients with relapsing-remitting multiple sclerosis. Mult Scler Relat Disord 2020; 38:101507. [DOI: 10.1016/j.msard.2019.101507] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Revised: 10/29/2019] [Accepted: 11/04/2019] [Indexed: 01/26/2023]
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Lagana MM, Pelizzari L, Baglio F. Relationship between MRI perfusion and clinical severity in multiple sclerosis. Neural Regen Res 2020; 15:646-652. [PMID: 31638086 PMCID: PMC6975150 DOI: 10.4103/1673-5374.266906] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Perfusion alterations within several brain regions have been shown in multiple sclerosis patients using different magnetic resonance imaging (MRI) techniques. Furthermore, MRI-derived brain perfusion metrics have been investigated in association with multiple sclerosis phenotypes, physical disability, and cognitive impairment. However, a review focused on these aspects is still missing. Our aim was to review all the studies investigating the relationship between perfusion MRI and clinical severity during the last fifteen years to understand the clinical relevance of these findings. Perfusion differences among phenotypes were observed both with 1.5T and 3T scanners, with progressive multiple sclerosis presenting with lower perfusion values than relapsing-remitting multiple sclerosis patients. However, only 3T scanners showed a statistically significant distinction. Controversial results about the association between MRI-derived perfusion metrics and physical disability scores were found. However, the majority of the studies showed that lower brain perfusion and longer transit time are associated with more severe physical disability and worse cognitive performances.
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Manca R, Mitolo M, Stabile MR, Bevilacqua F, Sharrack B, Venneri A. Multiple brain networks support processing speed abilities of patients with multiple sclerosis. Postgrad Med 2019; 131:523-532. [PMID: 31478421 DOI: 10.1080/00325481.2019.1663706] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Objectives: Many people affected by multiple sclerosis (MS) experience cognitive impairment, especially decreases in information processing speed (PS). Neural disconnection is thought to represent the neural marker of this symptom, although the role played by alterations of specific functional brain networks still remains unclear. The aim is to investigate and compare patterns of association between PS-demanding cognitive performance and functional connectivity across two MS phenotypes. Methods: Forty patients with relapsing-remitting MS (RRMS) and 25 with secondary progressive MS (SPMS) had neuropsychological and MRI assessments. Multiple regression models were used to investigate the relationship between performance on tests of visuomotor and verbal PS, and on the verbal fluency tests, and functional connectivity of four cognitive networks, i.e. left and right frontoparietal, salience and default-mode, and two control networks, i.e. visual and sensorimotor. Results: Patients with SPMS were older and had longer disease history than patients with RRMS and presented with worse overall clinical conditions: higher disease severity, total lesion volume, and cognitive impairment rates. However, in both patient samples, cognitive performance across tests was negatively correlated with functional connectivity of the salience and default-mode networks, and positively with connectivity of the left frontoparietal network. Only the visuomotor PS scores of the RRMS group were also associated with connectivity of the sensorimotor network. Conclusions: PS-demanding cognitive performance in patients with MS appears mainly associated with strength of functional connectivity of frontal networks involved in the evaluation and manipulation of information, as well as the default mode network. These results are in line with the hypothesis that multiple neural networks are needed to support normal cognitive performance across MS phenotypes. However, different PS measures showed partially different patterns of association with functional connectivity. Therefore, further investigations are needed to clarify the contribution of inter-network communication to specific cognitive deficits due to MS.
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Affiliation(s)
- Riccardo Manca
- Department of Neuroscience, University of Sheffield , Sheffield , UK
| | - Micaela Mitolo
- IRCCS Istituto delle Scienze Neurologiche di Bologna, Diagnostica Funzionale Neuroradiologica , Bologna , Italy
| | | | | | - Basil Sharrack
- Academic Department of Neuroscience, Sheffield Teaching Hospital, NHS Foundation Trust , Sheffield , UK
| | - Annalena Venneri
- Department of Neuroscience, University of Sheffield , Sheffield , UK
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Validity and Reliability of Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) in Indonesia and the Correlation with Quality of Life. Neurol Res Int 2019; 2019:4290352. [PMID: 31263596 PMCID: PMC6556319 DOI: 10.1155/2019/4290352] [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: 12/13/2018] [Accepted: 05/02/2019] [Indexed: 11/18/2022] Open
Abstract
Introduction Multiple Sclerosis (MS) can affect cognitive function that might interfere with quality of life. Processing speed and memory are the most common area of cognitive impairment. Cognitive evaluation in daily practice is often difficult to be performed since it needs neuropsychological expert and is time-consuming. Brief International Cognitive Assessment for MS (BICAMS) is valid and practical for cognitive evaluation. This study aims to validate BICAMS in Indonesian MS patients and healthy controls (HC) and to analyse the effect of cognitive impairment on quality of life. Methods BICAMS, which composes Symbol Digits Modalities Test (SDMT), California Verbal Learning Test-Second Edition (CVLT-II), and Brief Visuospatial Memory Test-Revised (BVMT-R), was translated and cross-culturally adapted to Indonesian from the original BICAMS and then administered to 40 Indonesian MS patients and 66 HC matched by sex, age, and education. Test-retest reliability was performed on 16-MS patients and 42 HC. Quality of life was measured using Multiple Sclerosis Quality of Life (MSQOL-54) instrument. Results The SDMT, CVLT-II, and BVMT-R score in MS patients were significantly lower than those in HC (effect size, r: 0.61, 0.36, and 0.47, respectively). Test-retest reliability for all tests was satisfactory with correlation coefficient for SDMT, CVLT-II, and BVMT-R in MS subjects 0.86, 0.81, and 0.83, respectively. Using 5th percentile of HC score as cut-off, 15% MS subjects had impairment in one test, 27.5% in two tests, and 40% in three tests. BICAMS was moderately correlated with EDSS but was not correlated with disease duration and relapse rate. SDMT score correlated with physical function and physical and mental role limitation. Conclusion BICAMS is valid and reliable for assessing cognitive function of Indonesia MS patients.
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Manca R, Stabile MR, Bevilacqua F, Cadorin C, Piccione F, Sharrack B, Venneri A. Cognitive speed and white matter integrity in secondary progressive multiple sclerosis. Mult Scler Relat Disord 2019; 30:198-207. [DOI: 10.1016/j.msard.2019.02.021] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2018] [Revised: 01/23/2019] [Accepted: 02/15/2019] [Indexed: 01/28/2023]
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Migliore S, Curcio G, Porcaro C, Cottone C, Simonelli I, D'aurizio G, Landi D, Palmieri M, Ghazaryan A, Squitieri F, Filippi M, Vernieri F. Emotional processing in RRMS patients: Dissociation between behavioural and neurophysiological response. Mult Scler Relat Disord 2019; 27:344-349. [DOI: 10.1016/j.msard.2018.11.019] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Revised: 11/13/2018] [Accepted: 11/17/2018] [Indexed: 10/27/2022]
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