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Sousa C, Jacques T, Sá MJ, Alves RA. Cognitive impairment in multiple sclerosis phenotypes: Neuropsychological assessment in a portuguese sample. APPLIED NEUROPSYCHOLOGY. ADULT 2024; 31:1153-1162. [PMID: 35977707 DOI: 10.1080/23279095.2022.2112681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
BACKGROUND Cognitive impairment affects 40-65% of MS patients, encompassing all disease stages and types of clinical courses. This estimation is based on different instruments used and population normative data. OBJECTIVE This study aims to assess the cognitive function in a hospital-based cohort of Portuguese MS patients, to allow estimating the prevalence of cognitive impairment in different phenotypes. METHODS Three hundred and thirteen patients with Multiple Sclerosis (MS) underwent neuropsychological assessment with the brief repeatable battery of neuropsychological tests (BRBN-T) and the brief international cognitive assessment for multiple sclerosis (BICAMS). RESULTS Differences were observed in the cognitive impairment profile of different disease phenotypes and of the different disease severity stages. RRMS patients performed better in the cognitive test of the BRBN-T and BICAMS than those with progressive disease phenotypes. Relationships between cognitive impairment and disability and professional status were relevant. Although similarities could be observed in the cognitive profile of the MS phenotypes, with predominant involvement of verbal memory, verbal fluency, and information processing speed, the latter was found to be more frequent as the disease progressed. CONCLUSION This study contributes to improve knowledge about the cognitive profile of the different MS phenotypes and understand the cognitive characteristics of Portuguese patients.
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Affiliation(s)
- Cláudia Sousa
- Department of Neurology, Centro Hospitalar Universitário São João Porto, EPE, Porto, Portugal
- Faculty of Psychology and Educational Sciences, University of Porto, Porto, Portugal
- Department of Psychology, Centro Hospitalar Universitário São João Porto, EPE, Porto, Portugal
| | - Teresa Jacques
- Faculty of Psychology and Educational Sciences, University of Porto, Porto, Portugal
| | - Maria José Sá
- Department of Neurology, Centro Hospitalar Universitário São João Porto, EPE, Porto, Portugal
- Faculty of Health Sciences, Universidade Fernando Pessoa, Porto, Portugal
| | - Rui A Alves
- Faculty of Psychology and Educational Sciences, University of Porto, Porto, Portugal
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Zhu H, Fitzhugh MC, Keator LM, Johnson L, Rorden C, Bonilha L, Fridriksson J, Rogalsky C. How can graph theory inform the dual-stream model of speech processing? a resting-state fMRI study of post-stroke aphasia. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.04.17.537216. [PMID: 37131756 PMCID: PMC10153155 DOI: 10.1101/2023.04.17.537216] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
The dual-stream model of speech processing has been proposed to represent the cortical networks involved in speech comprehension and production. Although it is arguably the prominent neuroanatomical model of speech processing, it is not yet known if the dual-stream model represents actual intrinsic functional brain networks. Furthermore, it is unclear how disruptions after a stroke to the functional connectivity of the dual-stream model's regions are related to specific types of speech production and comprehension impairments seen in aphasia. To address these questions, in the present study, we examined two independent resting-state fMRI datasets: (1) 28 neurotypical matched controls and (2) 28 chronic left-hemisphere stroke survivors with aphasia collected at another site. Structural MRI, as well as language and cognitive behavioral assessments, were collected. Using standard functional connectivity measures, we successfully identified an intrinsic resting-state network amongst the dual-stream model's regions in the control group. We then used both standard functional connectivity analyses and graph theory approaches to determine how the functional connectivity of the dual-stream network differs in individuals with post-stroke aphasia, and how this connectivity may predict performance on clinical aphasia assessments. Our findings provide strong evidence that the dual-stream model is an intrinsic network as measured via resting-state MRI, and that weaker functional connectivity of the hub nodes of the dual-stream network defined by graph theory methods, but not overall average network connectivity, is weaker in the stroke group than in the control participants. Also, the functional connectivity of the hub nodes predicted specific types of impairments on clinical assessments. In particular, the relative strength of connectivity of the right hemisphere's homologues of the left dorsal stream hubs to the left dorsal hubs versus right ventral stream hubs is a particularly strong predictor of post-stroke aphasia severity and symptomology.
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Grothe M, Jochem K, Strauss S, Langner S, Kirsch M, Hoffeld K, Penner IK, Nagels G, Klepzig K, Domin M, Lotze M. Performance in information processing speed is associated with parietal white matter tract integrity in multiple sclerosis. Front Neurol 2022; 13:982964. [DOI: 10.3389/fneur.2022.982964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 09/20/2022] [Indexed: 11/06/2022] Open
Abstract
BackgroundThe Symbol Digit Modalities Test (SDMT) is most frequently used to test processing speed in patients with multiple sclerosis (MS). Functional imaging studies emphasize the importance of frontal and parietal areas for task performance, but the influence of frontoparietal tracts has not been thoroughly studied. We were interested in tract-specific characteristics and their association with processing speed in MS patients.MethodsDiffusion tensor imaging was obtained in 100 MS patients and 24 healthy matched controls to compare seed-based tract characteristics descending from the superior parietal lobule [Brodman area 7A (BA7A)], atlas-based tract characteristics from the superior longitudinal fasciculus (SLF), and control tract characteristics from the corticospinal tract (CST) and their respective association with ability on the SDMT.ResultsPatients had decreased performance on the SDMT and decreased white matter volume (each p < 0.05). The mean fractional anisotropy (FA) for the BA7A tract and CST (p < 0.05), but not the SLF, differed between MS patients and controls. Furthermore, only the FA of the SLF was positively associated with SDMT performance even after exclusion of the lesions within the tract (r = 0.25, p < 0.05). However, only disease disability and total white matter volume were associated with information processing speed in a linear regression model.ConclusionsProcessing speed in MS is associated with the structural integrity of frontoparietal white matter tracts.
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Chitnis T, Vandercappellen J, King M, Brichetto G. Symptom Interconnectivity in Multiple Sclerosis: A Narrative Review of Potential Underlying Biological Disease Processes. Neurol Ther 2022; 11:1043-1070. [PMID: 35680693 PMCID: PMC9338216 DOI: 10.1007/s40120-022-00368-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2022] [Accepted: 05/16/2022] [Indexed: 11/18/2022] Open
Abstract
Introduction Fatigue, cognitive impairment, depression, and pain are highly prevalent symptoms in multiple sclerosis (MS). These often co-occur and may be explained by a common etiology. By reviewing existing literature, we aimed to identify potential underlying biological processes implicated in the interconnectivity between these symptoms. Methods A literature search was conducted to identify articles reporting research into the biological mechanisms responsible for the manifestation of fatigue, cognitive impairment, depression, and pain in MS. PubMed was used to search for articles published from July 2011 to July 2021. We reviewed and assessed findings from the literature to identify biological processes common to the symptoms of interest. Results Of 693 articles identified from the search, 252 were selected following screening of titles and abstracts and assessing reference lists of review articles. Four biological processes linked with two or more of the symptoms of interest were frequently identified from the literature: (1) direct neuroanatomical changes to brain regions linked with symptoms of interest (e.g., thalamic injury associated with cognitive impairment, fatigue, and depression), (2) pro-inflammatory cytokines associated with so-called ‘sickness behavior,’ including manifestation of fatigue, transient cognitive impairment, depression, and pain, (3) dysregulation of monoaminergic pathways leading to depressive symptoms and fatigue, and (4) hyperactivity of the hypothalamic–pituitary-adrenal (HPA) axis as a result of pro-inflammatory cytokines promoting the release of brain noradrenaline, serotonin, and tryptophan, which is associated with symptoms of depression and cognitive impairment. Conclusion The co-occurrence of fatigue, cognitive impairment, depression, and pain in MS appears to be associated with a common set of etiological factors, namely neuroanatomical changes, pro-inflammatory cytokines, dysregulation of monoaminergic pathways, and a hyperactive HPA axis. This association of symptoms and biological processes has important implications for disease management strategies and, eventually, could help find a common therapeutic pathway that will impact both inflammation and neuroprotection. Supplementary Information The online version contains supplementary material available at 10.1007/s40120-022-00368-2.
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Affiliation(s)
- Tanuja Chitnis
- Department of Neurology, Brigham and Women's Hospital, 75 Francis Street, Boston, MA, 02115, USA.
| | | | - Miriam King
- Novartis Pharma AG, Fabrikstrasse 12-2, 4056, Basel, Switzerland
| | - Giampaolo Brichetto
- Associazione Italiana Sclerosi Multipla Rehabilitation Center, Via Operai, 30, 16149, Genoa, GE, Italy
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Working Memory Phenotypes in Early Multiple Sclerosis: Appraisal of Phenotype Frequency, Progression and Test Sensitivity. J Clin Med 2022; 11:jcm11102936. [PMID: 35629061 PMCID: PMC9148093 DOI: 10.3390/jcm11102936] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 05/17/2022] [Accepted: 05/19/2022] [Indexed: 12/04/2022] Open
Abstract
Working memory (WM) impairments are common and debilitating symptoms of multiple sclerosis (MS), often emerging early in the disease. Predominantly, WM impairments are considered in a binary manner, with patients considered either impaired or not based on a single test. However, WM is comprised of different activated subcomponents depending upon the type of information (auditory, visual) and integration requirements. As such, unique WM impairment phenotypes occur. We aimed to determine the most frequent WM phenotypes in early MS, how they progress and which WM test(s) provide the best measure of WM impairment. A total of 88 participants (63 early relapsing–remitting MS: RRMS, 25 healthy controls) completed five WM tests (visual–spatial, auditory, episodic, executive) as well as the symbol digit modalities test as a measure of processing speed. RRMS patients were followed-up for two years. Factors affecting WM (age/gender/intelligence/mood) and MS factors (disease duration/disability) were also evaluated. Some 61.9% of RRMS patients were impaired on at least one WM subcomponent. The most subcomponents impaired were visual,–spatial and auditory WM. The most common WM phenotypes were; (1) visual–spatial sketchpad + episodic buffer + phonological loop + central executive, (2) visual–spatial sketchpad + central executive. The test of visual–spatial WM provided the best diagnostic accuracy for detecting WM impairment and progression. The SDMT did not achieve diagnostic accuracy greater than chance. Although this may be unsurprising, given that the SDMT is a measure of cognitive processing speed in MS, this does highlight the limitation of the SDMT as a general screening tool for cognitive impairment in early MS.
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Scaroni F, Visconte C, Serpente M, Golia MT, Gabrielli M, Huiskamp M, Hulst HE, Carandini T, De Riz M, Pietroboni A, Rotondo E, Scarpini E, Galimberti D, Teunissen CE, van Dam M, de Jong BA, Fenoglio C, Verderio C. miR-150-5p and let-7b-5p in Blood Myeloid Extracellular Vesicles Track Cognitive Symptoms in Patients with Multiple Sclerosis. Cells 2022; 11:cells11091551. [PMID: 35563859 PMCID: PMC9104242 DOI: 10.3390/cells11091551] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 04/30/2022] [Accepted: 05/02/2022] [Indexed: 02/04/2023] Open
Abstract
Cognitive deficits strongly affect the quality of life of patients with multiple sclerosis (MS). However, no cognitive MS biomarkers are currently available. Extracellular vesicles (EVs) contain markers of parental cells and are able to pass from the brain into blood, representing a source of disease biomarkers. The aim of this study was to investigate whether small non-coding microRNAs (miRNAs) targeting synaptic genes and packaged in plasma EVs may reflect cognitive deficits in MS patients. Total EVs were precipitated by Exoquick from the plasma of twenty-six cognitively preserved (CP) and twenty-three cognitively impaired (CI) MS patients belonging to two independent cohorts. Myeloid EVs were extracted by affinity capture from total EVs using Isolectin B4 (IB4). Fourteen miRNAs targeting synaptic genes were selected and measured by RT-PCR in both total and myeloid EVs. Myeloid EVs from CI patients expressed higher levels of miR-150-5p and lower levels of let-7b-5p compared to CP patients. Stratification for progressive MS (PMS) and relapsing-remitting MS (RRMS) and correlation with clinical parameters suggested that these alterations might be attributable to cognitive deficits rather than disease progression. This study identifies miR-150-5p and let-7b-5p packaged in blood myeloid EVs as possible biomarkers for cognitive deficits in MS.
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Affiliation(s)
- Federica Scaroni
- Institute of Neuroscience, CNR, Via Follereau 3, 20854 Vedano al Lambro, Italy; (F.S.); (M.T.G.); (M.G.)
| | - Caterina Visconte
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Via F. Sforza 35, 20122 Milan, Italy; (C.V.); (E.S.); (D.G.)
- Centro Dino Ferrari, University of Milan, 20122 Milan, Italy; (M.S.); (T.C.); (M.D.R.); (A.P.); (E.R.)
| | - Maria Serpente
- Centro Dino Ferrari, University of Milan, 20122 Milan, Italy; (M.S.); (T.C.); (M.D.R.); (A.P.); (E.R.)
- Fondazione IRCCS Ca’ Granda, Ospedale Policlinico, 20122 Milan, Italy
| | - Maria Teresa Golia
- Institute of Neuroscience, CNR, Via Follereau 3, 20854 Vedano al Lambro, Italy; (F.S.); (M.T.G.); (M.G.)
| | - Martina Gabrielli
- Institute of Neuroscience, CNR, Via Follereau 3, 20854 Vedano al Lambro, Italy; (F.S.); (M.T.G.); (M.G.)
| | - Marijn Huiskamp
- MS Center Amsterdam, Amsterdam Neuroscience, Department of Anatomy and Neurosciences, Amsterdam UMC, Vrije Universiteit Amsterdam UMC, De Boelelaan 1117, 1081 Amsterdam, The Netherlands; (M.H.); (M.v.D.)
| | - Hanneke E. Hulst
- Health-, Medical- and Neuropsychology Unit, Institute of Psychology, Leiden University, 2300 Leiden, The Netherlands;
| | - Tiziana Carandini
- Centro Dino Ferrari, University of Milan, 20122 Milan, Italy; (M.S.); (T.C.); (M.D.R.); (A.P.); (E.R.)
- Fondazione IRCCS Ca’ Granda, Ospedale Policlinico, 20122 Milan, Italy
| | - Milena De Riz
- Centro Dino Ferrari, University of Milan, 20122 Milan, Italy; (M.S.); (T.C.); (M.D.R.); (A.P.); (E.R.)
- Fondazione IRCCS Ca’ Granda, Ospedale Policlinico, 20122 Milan, Italy
| | - Anna Pietroboni
- Centro Dino Ferrari, University of Milan, 20122 Milan, Italy; (M.S.); (T.C.); (M.D.R.); (A.P.); (E.R.)
- Fondazione IRCCS Ca’ Granda, Ospedale Policlinico, 20122 Milan, Italy
| | - Emanuela Rotondo
- Centro Dino Ferrari, University of Milan, 20122 Milan, Italy; (M.S.); (T.C.); (M.D.R.); (A.P.); (E.R.)
- Fondazione IRCCS Ca’ Granda, Ospedale Policlinico, 20122 Milan, Italy
| | - Elio Scarpini
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Via F. Sforza 35, 20122 Milan, Italy; (C.V.); (E.S.); (D.G.)
- Centro Dino Ferrari, University of Milan, 20122 Milan, Italy; (M.S.); (T.C.); (M.D.R.); (A.P.); (E.R.)
- Fondazione IRCCS Ca’ Granda, Ospedale Policlinico, 20122 Milan, Italy
| | - Daniela Galimberti
- Department of Biomedical, Surgical and Dental Sciences, University of Milan, Via F. Sforza 35, 20122 Milan, Italy; (C.V.); (E.S.); (D.G.)
- Centro Dino Ferrari, University of Milan, 20122 Milan, Italy; (M.S.); (T.C.); (M.D.R.); (A.P.); (E.R.)
- Fondazione IRCCS Ca’ Granda, Ospedale Policlinico, 20122 Milan, Italy
| | - Charlotte E. Teunissen
- MS Center Amsterdam, Amsterdam Neuroscience, Department of Neurology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 Amsterdam, The Netherlands; (C.E.T.); (B.A.d.J.)
| | - Maureen van Dam
- MS Center Amsterdam, Amsterdam Neuroscience, Department of Anatomy and Neurosciences, Amsterdam UMC, Vrije Universiteit Amsterdam UMC, De Boelelaan 1117, 1081 Amsterdam, The Netherlands; (M.H.); (M.v.D.)
| | - Brigit A. de Jong
- MS Center Amsterdam, Amsterdam Neuroscience, Department of Neurology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 Amsterdam, The Netherlands; (C.E.T.); (B.A.d.J.)
| | - Chiara Fenoglio
- MS Center Amsterdam, Amsterdam Neuroscience, Department of Neurology, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 Amsterdam, The Netherlands; (C.E.T.); (B.A.d.J.)
- Department of Neuropathology and Transplantation, University of Milan, Via F. Sforza 35, 20122 Milan, Italy
- Correspondence: (C.F.); (C.V.); Tel.: +39-0264488386 (C.V.)
| | - Claudia Verderio
- Institute of Neuroscience, CNR, Via Follereau 3, 20854 Vedano al Lambro, Italy; (F.S.); (M.T.G.); (M.G.)
- Correspondence: (C.F.); (C.V.); Tel.: +39-0264488386 (C.V.)
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Collorone S, Kanber B, Hashem L, Cawley N, Prados F, Davagnanam I, Barkhof F, Ciccarelli O, Toosy A. Visual Function and Brief Cognitive Assessment for Multiple Sclerosis in Optic Neuritis Clinically Isolated Syndrome Patients. J Neuroophthalmol 2022; 42:e22-e31. [PMID: 34561401 PMCID: PMC8834161 DOI: 10.1097/wno.0000000000001280] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
BACKGROUND In this study, we hypothesized that clinically isolated syndrome-optic neuritis patients may have disturbances in neuropsychological functions related to visual processes. METHODS Forty-two patients with optic neuritis within 3 months from onset and 13 healthy controls were assessed at baseline and 6 months with MRI (brain volumes, lesion load, and optic radiation lesion volume) and optical coherence tomography (OCT) (peripapillary retinal nerve fiber layer [RNFL], ganglion cell and inner plexiform layers [GCIPLs], and inner nuclear layer). Patients underwent the brief cognitive assessment for multiple sclerosis, high-contrast and low-contrast letter acuity, and color vision. RESULTS At baseline, patients had impaired visual function, had GCIPL thinning in both eyes, and performed below the normative average in the visual-related tests: Symbol Digit Modalities Test and Brief Visuospatial Memory Test-Revised (BVMT-R). Over time, improvement in visual function in the affected eye was predicted by baseline GCIPL (P = 0.015), RNFL decreased, and the BVMT-R improved (P = 0.001). Improvement in BVMT-R was associated with improvement in the high-contrast letter acuity of the affected eye (P = 0.03), independently of OCT and MRI metrics. CONCLUSION Cognitive testing, assessed binocularly, of visuospatial processing is affected after unilateral optic neuritis and improves over time with visual recovery. This is not related to structural markers of the visual or central nervous system.
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Affiliation(s)
- Sara Collorone
- NMR Research Unit (SC, BK, LH, NC, FP, OC, and AT), Queen Square MS Centre, Department of Neuroinflammation, Queen Square Institute of Neurology, Faculty of Brain Sciences, UCL, London, United Kingdom; Department of Medical Physics and Biomedical Engineering (BK, FP, and FB), Centre for Medical Image Computing (CMIC), University College London, London, United Kingdom; Universitat Oberta de Catalunya (FP), Barcelona, Spain; Department of Brain Repair and Rehabilitation (ID and FB), University College London Institute of Neurology, Faculty of Brain Sciences, UCL, London, United Kingdom; National Institute for Health Research (FB and OC), University College London Hospitals, Biomedical Research Centre, London, United Kingdom; and Department of Radiology and Nuclear Medicine (FB), Amsterdam University Medical Centers, Vrije Universiteit, the Netherlands
| | - Baris Kanber
- NMR Research Unit (SC, BK, LH, NC, FP, OC, and AT), Queen Square MS Centre, Department of Neuroinflammation, Queen Square Institute of Neurology, Faculty of Brain Sciences, UCL, London, United Kingdom; Department of Medical Physics and Biomedical Engineering (BK, FP, and FB), Centre for Medical Image Computing (CMIC), University College London, London, United Kingdom; Universitat Oberta de Catalunya (FP), Barcelona, Spain; Department of Brain Repair and Rehabilitation (ID and FB), University College London Institute of Neurology, Faculty of Brain Sciences, UCL, London, United Kingdom; National Institute for Health Research (FB and OC), University College London Hospitals, Biomedical Research Centre, London, United Kingdom; and Department of Radiology and Nuclear Medicine (FB), Amsterdam University Medical Centers, Vrije Universiteit, the Netherlands
| | - Leen Hashem
- NMR Research Unit (SC, BK, LH, NC, FP, OC, and AT), Queen Square MS Centre, Department of Neuroinflammation, Queen Square Institute of Neurology, Faculty of Brain Sciences, UCL, London, United Kingdom; Department of Medical Physics and Biomedical Engineering (BK, FP, and FB), Centre for Medical Image Computing (CMIC), University College London, London, United Kingdom; Universitat Oberta de Catalunya (FP), Barcelona, Spain; Department of Brain Repair and Rehabilitation (ID and FB), University College London Institute of Neurology, Faculty of Brain Sciences, UCL, London, United Kingdom; National Institute for Health Research (FB and OC), University College London Hospitals, Biomedical Research Centre, London, United Kingdom; and Department of Radiology and Nuclear Medicine (FB), Amsterdam University Medical Centers, Vrije Universiteit, the Netherlands
| | - Niamh Cawley
- NMR Research Unit (SC, BK, LH, NC, FP, OC, and AT), Queen Square MS Centre, Department of Neuroinflammation, Queen Square Institute of Neurology, Faculty of Brain Sciences, UCL, London, United Kingdom; Department of Medical Physics and Biomedical Engineering (BK, FP, and FB), Centre for Medical Image Computing (CMIC), University College London, London, United Kingdom; Universitat Oberta de Catalunya (FP), Barcelona, Spain; Department of Brain Repair and Rehabilitation (ID and FB), University College London Institute of Neurology, Faculty of Brain Sciences, UCL, London, United Kingdom; National Institute for Health Research (FB and OC), University College London Hospitals, Biomedical Research Centre, London, United Kingdom; and Department of Radiology and Nuclear Medicine (FB), Amsterdam University Medical Centers, Vrije Universiteit, the Netherlands
| | - Ferran Prados
- NMR Research Unit (SC, BK, LH, NC, FP, OC, and AT), Queen Square MS Centre, Department of Neuroinflammation, Queen Square Institute of Neurology, Faculty of Brain Sciences, UCL, London, United Kingdom; Department of Medical Physics and Biomedical Engineering (BK, FP, and FB), Centre for Medical Image Computing (CMIC), University College London, London, United Kingdom; Universitat Oberta de Catalunya (FP), Barcelona, Spain; Department of Brain Repair and Rehabilitation (ID and FB), University College London Institute of Neurology, Faculty of Brain Sciences, UCL, London, United Kingdom; National Institute for Health Research (FB and OC), University College London Hospitals, Biomedical Research Centre, London, United Kingdom; and Department of Radiology and Nuclear Medicine (FB), Amsterdam University Medical Centers, Vrije Universiteit, the Netherlands
| | - Indran Davagnanam
- NMR Research Unit (SC, BK, LH, NC, FP, OC, and AT), Queen Square MS Centre, Department of Neuroinflammation, Queen Square Institute of Neurology, Faculty of Brain Sciences, UCL, London, United Kingdom; Department of Medical Physics and Biomedical Engineering (BK, FP, and FB), Centre for Medical Image Computing (CMIC), University College London, London, United Kingdom; Universitat Oberta de Catalunya (FP), Barcelona, Spain; Department of Brain Repair and Rehabilitation (ID and FB), University College London Institute of Neurology, Faculty of Brain Sciences, UCL, London, United Kingdom; National Institute for Health Research (FB and OC), University College London Hospitals, Biomedical Research Centre, London, United Kingdom; and Department of Radiology and Nuclear Medicine (FB), Amsterdam University Medical Centers, Vrije Universiteit, the Netherlands
| | - Frederik Barkhof
- NMR Research Unit (SC, BK, LH, NC, FP, OC, and AT), Queen Square MS Centre, Department of Neuroinflammation, Queen Square Institute of Neurology, Faculty of Brain Sciences, UCL, London, United Kingdom; Department of Medical Physics and Biomedical Engineering (BK, FP, and FB), Centre for Medical Image Computing (CMIC), University College London, London, United Kingdom; Universitat Oberta de Catalunya (FP), Barcelona, Spain; Department of Brain Repair and Rehabilitation (ID and FB), University College London Institute of Neurology, Faculty of Brain Sciences, UCL, London, United Kingdom; National Institute for Health Research (FB and OC), University College London Hospitals, Biomedical Research Centre, London, United Kingdom; and Department of Radiology and Nuclear Medicine (FB), Amsterdam University Medical Centers, Vrije Universiteit, the Netherlands
| | - Olga Ciccarelli
- NMR Research Unit (SC, BK, LH, NC, FP, OC, and AT), Queen Square MS Centre, Department of Neuroinflammation, Queen Square Institute of Neurology, Faculty of Brain Sciences, UCL, London, United Kingdom; Department of Medical Physics and Biomedical Engineering (BK, FP, and FB), Centre for Medical Image Computing (CMIC), University College London, London, United Kingdom; Universitat Oberta de Catalunya (FP), Barcelona, Spain; Department of Brain Repair and Rehabilitation (ID and FB), University College London Institute of Neurology, Faculty of Brain Sciences, UCL, London, United Kingdom; National Institute for Health Research (FB and OC), University College London Hospitals, Biomedical Research Centre, London, United Kingdom; and Department of Radiology and Nuclear Medicine (FB), Amsterdam University Medical Centers, Vrije Universiteit, the Netherlands
| | - Ahmed Toosy
- NMR Research Unit (SC, BK, LH, NC, FP, OC, and AT), Queen Square MS Centre, Department of Neuroinflammation, Queen Square Institute of Neurology, Faculty of Brain Sciences, UCL, London, United Kingdom; Department of Medical Physics and Biomedical Engineering (BK, FP, and FB), Centre for Medical Image Computing (CMIC), University College London, London, United Kingdom; Universitat Oberta de Catalunya (FP), Barcelona, Spain; Department of Brain Repair and Rehabilitation (ID and FB), University College London Institute of Neurology, Faculty of Brain Sciences, UCL, London, United Kingdom; National Institute for Health Research (FB and OC), University College London Hospitals, Biomedical Research Centre, London, United Kingdom; and Department of Radiology and Nuclear Medicine (FB), Amsterdam University Medical Centers, Vrije Universiteit, the Netherlands
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Davion JB, Lopes R, Jougleux C, Viard R, Dumont J, Leclerc X, Outteryck O. Brief International Cognitive Assessment for Multiple Sclerosis scores are associated with the cortical thickness of specific cortical areas in relapsing-remitting patients. Rev Neurol (Paris) 2021; 178:326-336. [PMID: 34657733 DOI: 10.1016/j.neurol.2021.06.014] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Revised: 06/02/2021] [Accepted: 06/22/2021] [Indexed: 11/28/2022]
Abstract
BACKGROUND Cognitive impairment is frequent and disabling in multiple sclerosis (MS). The Brief International Cognitive Assessment in MS (BICAMS) is a recent short battery usable in clinical practice for cognitive evaluation of MS patients. OBJECTIVE To find cortical areas or brain volumes on magnetic resonance imaging (MRI) structural sequences associated with BICAMS scores in MS. METHODS In this cross-sectional single-center study (NCT03656055, September 4, 2018), 96 relapsing remitting-MS patients under natalizumab and without recent clinical or radiological inflammation were included. Patients underwent brain MRI and the three BICAMS tests, evaluating information processing speed (SDMT), visuo-spatial memory (BVMT-R), and verbal memory (FVLT). RESULTS Cortical thickness in the left frontal superior and the right precentral gyri was associated with BVMT-R scores whereas cortical thickness in the left Broca's area and the right superior temporal gyrus was associated with FVLT scores. We observed associations between white matter inflammatory lesions connected to these cortical regions and BICAMS subscores. CONCLUSIONS BICAMS scores are associated with specific cortical areas, the cognitive domain matching the known functions of the cortical area. Specific cognitive impairments in MS may be associated with specific cortical regions, themselves influenced by white matter inflammatory lesions and demographical parameters (age, sex, education level).
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Affiliation(s)
- J-B Davion
- U1172 - LilNCog - Lille Neuroscience & Cognition, university Lille, 59000 Lille, France; Department of neurology, CHU Lille, 59000 Lille, France
| | - R Lopes
- U1172 - LilNCog - Lille Neuroscience & Cognition, university Lille, 59000 Lille, France; Department of neuroradiology, CHU Lille, 59000 Lille, France; CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, US 41 - UMS 2014 - PLBS, university Lille, 59000 Lille, France
| | - C Jougleux
- U1172 - LilNCog - Lille Neuroscience & Cognition, university Lille, 59000 Lille, France; Department of neurology, CHU Lille, 59000 Lille, France
| | - R Viard
- Department of neuroradiology, CHU Lille, 59000 Lille, France; CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, US 41 - UMS 2014 - PLBS, university Lille, 59000 Lille, France
| | - J Dumont
- Department of neuroradiology, CHU Lille, 59000 Lille, France; CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, US 41 - UMS 2014 - PLBS, university Lille, 59000 Lille, France
| | - X Leclerc
- U1172 - LilNCog - Lille Neuroscience & Cognition, university Lille, 59000 Lille, France; Department of neuroradiology, CHU Lille, 59000 Lille, France
| | - O Outteryck
- U1172 - LilNCog - Lille Neuroscience & Cognition, university Lille, 59000 Lille, France; Department of neuroradiology, CHU Lille, 59000 Lille, France.
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9
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Gromisch ES, Dhari Z. Identifying Early Neuropsychological Indicators of Cognitive Involvement in Multiple Sclerosis. Neuropsychiatr Dis Treat 2021; 17:323-337. [PMID: 33574669 PMCID: PMC7872925 DOI: 10.2147/ndt.s256689] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Accepted: 01/22/2021] [Indexed: 12/19/2022] Open
Abstract
Multiple sclerosis (MS) is a debilitating disease of the central nervous system that is most commonly seen in early to middle adulthood, although it can be diagnosed during childhood or later in life. While cognitive impairment can become more prevalent and severe as the disease progresses, signs of cognitive involvement can be apparent in the early stages of the disease. In this review, we discuss the prevalence and types of cognitive impairment seen in early MS, including the specific measures used to identify them, as well as the challenges in characterizing their frequency and progression. In addition to examining the progression of early cognitive involvement over time, we explore the clinical factors associated with early cognitive involvement, including demographics, level of physical disability, disease modifying therapy use, vocational status, and psychological and physical symptoms. Given the prevalence and functional impact these impairments can have for persons with MS, considerations for clinicians are provided, such as the role of early cognitive screenings and the importance of comprehensive neuropsychological assessments.
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Affiliation(s)
- Elizabeth S Gromisch
- Mandell Center for Multiple Sclerosis, Mount Sinai Rehabilitation Hospital, Trinity Health Of New England, Hartford, CT, USA
- Department of Rehabilitative Medicine, Frank H. Netter MD School of Medicine at Quinnipiac University, North Haven, CT, USA
- Department of Medical Sciences, Frank H. Netter MD School of Medicine at Quinnipiac University, North Haven, CT, USA
- Department of Neurology, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Zaenab Dhari
- Mandell Center for Multiple Sclerosis, Mount Sinai Rehabilitation Hospital, Trinity Health Of New England, Hartford, CT, USA
- Department of Rehabilitative Medicine, Frank H. Netter MD School of Medicine at Quinnipiac University, North Haven, CT, USA
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10
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Rosca EC, Simu M. Montreal cognitive assessment for evaluating cognitive impairment in multiple sclerosis: a systematic review. Acta Neurol Belg 2020; 120:1307-1321. [PMID: 32996098 DOI: 10.1007/s13760-020-01509-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Accepted: 09/19/2020] [Indexed: 12/13/2022]
Abstract
This study aims to systematically review the evidence on the accuracy of the Montreal Cognitive Assessment (MoCA) test for evaluating the presence of cognitive impairment in patients with multiple sclerosis (MS) and to outline the quality and quantity of research evidence available about the use of MoCA in this population. We conducted a systematic literature review, searching five databases from inception until May 2020. We identified fourteen studies that met the inclusion criteria: three cross-sectional studies and two case - control studies comparing MoCA to a battery of tests, one study comparing MoCA to Mini-Mental State Examination (MMSE), and eight studies estimating the prevalence of cognitive impairment in individuals with MS. Publication period ranged from 2012 to 2020. Although the MoCA test demonstrated good sensitivity and specificity when used at the recommended threshold of 26, a lower threshold than the original cut-off was also reported to be useful for optimal screening, as it lowers false positive rates and improves diagnostic accuracy. Furthermore, in MS patients without subjective cognitive complaints, a cutoff of 27 could provide a better balance between the sensitivity and the specificity of the test. In patients with MS, the MoCA provides information on general cognitive functions disturbances. Nonetheless, more studies are required to examine the optimum cut-off score for detecting cognitive impairments in MS patients.
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Affiliation(s)
- Elena Cecilia Rosca
- Department of Neurology, University of Medicine and Pharmacy "Victor Babes" Timisoara, Timisoara, Romania.
- Department of Neurology, Clinical Emergency County Hospital, Bd. Iosif Bulbuca nr. 10, 300736, Timisoara, Romania.
| | - Mihaela Simu
- Department of Neurology, University of Medicine and Pharmacy "Victor Babes" Timisoara, Timisoara, Romania
- Department of Neurology, Clinical Emergency County Hospital, Bd. Iosif Bulbuca nr. 10, 300736, Timisoara, Romania
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11
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Spatial navigation in early multiple sclerosis: a neglected cognitive marker of the disease? J Neurol 2020; 268:77-89. [PMID: 32700011 DOI: 10.1007/s00415-020-10079-z] [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: 04/23/2020] [Revised: 07/06/2020] [Accepted: 07/11/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND Cognitive deficits are common in early multiple sclerosis (MS), however, spatial navigation changes and their associations with brain pathology remain poorly understood. OBJECTIVE To characterize the profile of spatial navigation changes in two main navigational strategies, egocentric (self-centred) and allocentric (world-centred), and their associations with demyelinating and neurodegenerative changes in early MS. METHODS Participants with early MS after the first clinical event (n = 51) and age-, gender- and education-matched controls (n = 42) underwent spatial navigation testing in a real-space human analogue of the Morris water maze task, comprehensive neuropsychological assessment, and MRI brain scan with voxel-based morphometry and volumetric analyses. RESULTS The early MS group had lower performance in the egocentric (p = 0.010), allocentric (p = 0.004) and allocentric-delayed (p = 0.038) navigation tasks controlling for age, gender and education. Based on the applied criteria, lower spatial navigation performance was present in 26-29 and 33-41% of the participants with early MS in the egocentric and the allocentric task, respectively. Larger lesion load volume in cortical, subcortical and cerebellar regions (ß ≥ 0.29; p ≤ 0.032) unlike brain atrophy was associated with less accurate allocentric navigation performance. CONCLUSION Lower spatial navigation performance is present in up to 41% of the participants with early MS. Demyelinating lesions in early MS may disrupt neural network forming the basis of allocentric navigation.
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12
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Visual but not verbal working memory interferes with balance in patients after optic neuritis suggestive of multiple sclerosis. Neurosci Lett 2019; 707:134288. [PMID: 31163227 DOI: 10.1016/j.neulet.2019.134288] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2019] [Revised: 05/05/2019] [Accepted: 05/21/2019] [Indexed: 11/21/2022]
Abstract
BACKGROUND Subtle cognitive deficits are present in almost half of the patients with clinically isolated syndrome (CIS) suggestive of multiple sclerosis (MS). Similarly, subtle balance deficits can be detected at the earliest stages of the disease. To assess cognitive-motor interference (CMI) in nondisabled CIS patients, we studied postural performance using dual task paradigm in CIS patients presenting with optic neuritis. METHODS We prospectively included 20 patients with visual acuity of 0.8 or more within the 3 months from unilateral ON. We also included 20 age, weight, height and education matched healthy subjects. Baseline cognitive performance of the patients was assessed using neuropsychological tests. Balance was studied by posturography (Po) and center of pressure (CoP) measures (maximal medio-lateral, maximal antero-posterior amplitudes, maximal CoP velocity and total CoP path. CMI between static balance and WM was investigated using a dual-task paradigm in three conditions: Po alone, Po+Brooks' visual working memory (WM) task and Po+2-back verbal WM task. RESULTS The two most commonly affected cognitive domains in the patients were attention (52% of the patients) and executive functions (45% of the patients). Static balance as measured by higher maximal CoP velocity while standing alone (p = 0.02) was impaired in patients. Significantly lower maximal m-l CoP amplitude (p = 0.01) and total CoP path (p = 0.004) in the Po + Brooks' task condition compared to Po alone were observed in the group of ON patients but not in healthy subjects. The cost of dualtasking was highest in the ON patients under Po + Brooks' task (p = 0.04 for the total CoP path parameter). CONCLUSION Static balance and cognition are impaired in the earliest MS. CMI between static balance and working memory is higher in the patients and while loading visual working memory. Dual-task paradigms should be used in rehabilitation programmes for patients at the very beginning of the disease.
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13
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Brochet B, Ruet A. Cognitive Impairment in Multiple Sclerosis With Regards to Disease Duration and Clinical Phenotypes. Front Neurol 2019; 10:261. [PMID: 30949122 PMCID: PMC6435517 DOI: 10.3389/fneur.2019.00261] [Citation(s) in RCA: 119] [Impact Index Per Article: 23.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2018] [Accepted: 02/27/2019] [Indexed: 12/26/2022] Open
Abstract
The relationships between cognitive impairment that exist during the clinical course of multiple sclerosis (MS) remain poorly described. The effect of disease duration has been studied in a few longitudinal cohorts and some cross-sectional studies that suggest that cognitive deficits tend to extend with disease duration. However, the effect of disease duration seems to be confounded by the effect of age. At the pre-clinical stage, cognitive deficits have been observed in patients with radiologically isolated syndromes, and their profile is similar than in clinically isolated syndromes (CIS) and relapsing-remitting MS (RRMS). The frequency of cognitive impairment tends to be higher in RRMS than in CIS. In these phenotypes, slowness of information processing speed (IPS) and episodic verbal and visuo-spatial memory deficits are frequently observed, but executive functions, and in particular verbal fluency, could also be impaired. More frequent and severe deficits are reported in SPMS than in RRMS with more severe deficits for memory tests, working memory and IPS. Similarly to what is observed in SPMS, patients with primary progressive MS (PPMS) present with a wide range of cognitive deficits in IPS, attention, working memory, executive functions, and verbal episodic memory with more tests and domains impaired than RRMS patients. Altogether these data suggested that not only the duration of the disease and age play an important role in the cognitive profile of patients, but also the phenotype itself, probably because of its specific pathological mechanism.
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Affiliation(s)
- Bruno Brochet
- Service de Neurologie, CHU de Bordeaux, Bordeaux, France.,Team Glia-Neuron Interactions, Neurocentre Magendie, INSERM U1215, Université de Bordeaux, Bordeaux, France
| | - Aurélie Ruet
- Service de Neurologie, CHU de Bordeaux, Bordeaux, France.,Team Glia-Neuron Interactions, Neurocentre Magendie, INSERM U1215, Université de Bordeaux, Bordeaux, France
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14
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Guarnieri FC, Bellani S, Yekhlef L, Bergamaschi A, Finardi A, Fesce R, Pozzi D, Monzani E, Fornasiero EF, Matteoli M, Martino G, Furlan R, Taverna S, Muzio L, Valtorta F. Synapsin I deletion reduces neuronal damage and ameliorates clinical progression of experimental autoimmune encephalomyelitis. Brain Behav Immun 2018; 68:197-210. [PMID: 29066310 DOI: 10.1016/j.bbi.2017.10.018] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2017] [Revised: 10/10/2017] [Accepted: 10/20/2017] [Indexed: 11/20/2022] Open
Abstract
The classical view of multiple sclerosis (MS) pathogenesis states that inflammation-mediated demyelination is responsible for neuronal damage and loss. However, recent findings show that impairment of neuronal functions and demyelination can be independent events, suggesting the coexistence of other pathogenic mechanisms. Due to the inflammatory milieu, subtle alterations in synaptic function occur, which are probably at the basis of the early cognitive decline that often precedes the neurodegenerative phases in MS patients. In particular, it has been reported that inflammation enhances excitatory synaptic transmission while it decreases GABAergic transmission in vitro and ex vivo. This evidence points to the idea that an excitation/inhibition imbalance occurs in the inflamed MS brain, even though the exact molecular mechanisms leading to this synaptic dysfunction are as yet not completely clear. Along this line, we observed that acute treatment of primary hippocampal neurons in culture with pro-inflammatory cytokines leads to an increased phosphorylation of synapsin I (SynI) by ERK1/2 kinase and to an increase in the frequency of spontaneous synaptic vesicle release events, which is prevented by SynI deletion. In vivo, the ablation of SynI expression is protective in terms of disease progression and neuronal damage in the experimental autoimmune encephalomyelitis mouse model of MS. Our results point to a possible key role in MS pathogenesis of the neuronal protein SynI, a regulator of excitation/inhibition balance in neuronal networks.
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Affiliation(s)
- Fabrizia C Guarnieri
- Division of Neuroscience, San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy; Vita-Salute San Raffaele University, Via Olgettina 58, 20132 Milan, Italy
| | - Serena Bellani
- Division of Neuroscience, San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy
| | - Latefa Yekhlef
- Division of Neuroscience, San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy
| | - Andrea Bergamaschi
- Division of Neuroscience, San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy
| | - Annamaria Finardi
- Division of Neuroscience, San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy
| | - Riccardo Fesce
- Centre of Neuroscience and DISTA, University of Insubria, Via Ravasi 2, 21100 Varese, Italy
| | - Davide Pozzi
- Humanitas Clinical and Research Centre, Via Manzoni 113, 20089 Rozzano, Milan, Italy
| | - Elena Monzani
- Division of Neuroscience, San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy
| | - Eugenio F Fornasiero
- Division of Neuroscience, San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy
| | - Michela Matteoli
- Humanitas Clinical and Research Centre, Via Manzoni 113, 20089 Rozzano, Milan, Italy; CNR Institute of Neuroscience, via Vanvitelli 32, 20129 Milan, Italy
| | - Gianvito Martino
- Division of Neuroscience, San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy; Vita-Salute San Raffaele University, Via Olgettina 58, 20132 Milan, Italy
| | - Roberto Furlan
- Division of Neuroscience, San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy
| | - Stefano Taverna
- Division of Neuroscience, San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy
| | - Luca Muzio
- Division of Neuroscience, San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy
| | - Flavia Valtorta
- Division of Neuroscience, San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy; Vita-Salute San Raffaele University, Via Olgettina 58, 20132 Milan, Italy.
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15
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Feeney C, Sharp DJ, Hellyer PJ, Jolly AE, Cole JH, Scott G, Baxter D, Jilka S, Ross E, Ham TE, Jenkins PO, Li LM, Gorgoraptis N, Midwinter M, Goldstone AP. Serum insulin-like growth factor-I levels are associated with improved white matter recovery after traumatic brain injury. Ann Neurol 2017; 82:30-43. [PMID: 28574152 PMCID: PMC5601275 DOI: 10.1002/ana.24971] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2016] [Revised: 05/26/2017] [Accepted: 05/26/2017] [Indexed: 02/06/2023]
Abstract
Objective Traumatic brain injury (TBI) is a common disabling condition with limited treatment options. Diffusion tensor imaging measures recovery of axonal injury in white matter (WM) tracts after TBI. Growth hormone deficiency (GHD) after TBI may impair axonal and neuropsychological recovery, and serum insulin‐like growth factor‐I (IGF‐I) may mediate this effect. We conducted a longitudinal study to determine the effects of baseline serum IGF‐I concentrations on WM tract and neuropsychological recovery after TBI. Methods Thirty‐nine adults after TBI (84.6% male, median age = 30.5 years, 87.2% moderate–severe, median time since TBI = 16.3 months, n = 4 with GHD) were scanned twice, 13.3 months (range = 12.1–14.9) apart, and 35 healthy controls were scanned once. Symptom and quality of life questionnaires and cognitive assessments were completed at both visits (n = 33). Our main outcome measure was fractional anisotropy (FA), a measure of WM tract integrity, in a priori regions of interest: splenium of corpus callosum (SPCC) and posterior limb of internal capsule (PLIC). Results At baseline, FA was reduced in many WM tracts including SPCC and PLIC following TBI compared to controls, indicating axonal injury, with longitudinal increases indicating axonal recovery. There was a significantly greater increase in SPCC FA over time in patients with serum IGF‐I above versus below the median for age. Only the higher IGF‐I group had significant improvements in immediate verbal memory recall over time. Interpretation WM recovery and memory improvements after TBI were greater in patients with higher serum IGF‐I at baseline. These findings suggest that the growth hormone/IGF‐I system may be a potential therapeutic target following TBI. Ann Neurol 2017;82:30–43
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Affiliation(s)
- Claire Feeney
- Computational, Cognitive, and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Imperial College London, Hammersmith Hospital, London, United Kingdom.,Imperial Centre for Endocrinology, Imperial College Healthcare NHS Trust, St Mary's and Charing Cross Hospitals, London, United Kingdom
| | - David J Sharp
- Computational, Cognitive, and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Imperial College London, Hammersmith Hospital, London, United Kingdom
| | - Peter J Hellyer
- Computational, Cognitive, and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Imperial College London, Hammersmith Hospital, London, United Kingdom
| | - Amy E Jolly
- Computational, Cognitive, and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Imperial College London, Hammersmith Hospital, London, United Kingdom
| | - James H Cole
- Computational, Cognitive, and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Imperial College London, Hammersmith Hospital, London, United Kingdom
| | - Gregory Scott
- Computational, Cognitive, and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Imperial College London, Hammersmith Hospital, London, United Kingdom
| | - David Baxter
- Computational, Cognitive, and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Imperial College London, Hammersmith Hospital, London, United Kingdom.,Royal Centre for Defence Medicine, Academic Department of Military Surgery and Trauma, Birmingham, United Kingdom
| | - Sagar Jilka
- Computational, Cognitive, and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Imperial College London, Hammersmith Hospital, London, United Kingdom
| | - Ewan Ross
- Computational, Cognitive, and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Imperial College London, Hammersmith Hospital, London, United Kingdom
| | - Timothy E Ham
- Computational, Cognitive, and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Imperial College London, Hammersmith Hospital, London, United Kingdom
| | - Peter O Jenkins
- Computational, Cognitive, and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Imperial College London, Hammersmith Hospital, London, United Kingdom
| | - Lucia M Li
- Computational, Cognitive, and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Imperial College London, Hammersmith Hospital, London, United Kingdom
| | - Nikos Gorgoraptis
- Computational, Cognitive, and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Imperial College London, Hammersmith Hospital, London, United Kingdom
| | - Mark Midwinter
- Royal Centre for Defence Medicine, Academic Department of Military Surgery and Trauma, Birmingham, United Kingdom.,Academic Section for Musculoskeletal Disease, Chapel Allerton Hospital, University of Leeds, Leeds
| | - Anthony P Goldstone
- Computational, Cognitive, and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Imperial College London, Hammersmith Hospital, London, United Kingdom.,Imperial Centre for Endocrinology, Imperial College Healthcare NHS Trust, St Mary's and Charing Cross Hospitals, London, United Kingdom.,PsychoNeuroEndocrinology Research Group, Neuropsychopharmacology Unit, Centre for Psychiatry, Division of Brain Sciences, Imperial College London, Hammersmith Hospital, London, United Kingdom
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16
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Cognitive Impairment in Multiple Sclerosis: A Review of Neuropsychological Assessments. Cogn Behav Neurol 2017; 29:55-67. [PMID: 27336803 DOI: 10.1097/wnn.0000000000000097] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Of the more than two million people worldwide with multiple sclerosis, 40% to 65% experience cognitive impairment, many of them early in the course of the disease. Cognitive impairment has been found in patients with all subtypes of multiple sclerosis. Because both pharmacologic and nonpharmacologic interventions may improve patients' brain function, cognitive assessment should be a routine part of the clinical evaluation. Traditional paper-and-pencil neuropsychological tests and batteries can help detect and monitor patients' cognitive problems. Computerized cognitive batteries also show promise. Controversy continues over which test is most reliable at assessing cognitive impairment in both everyday clinical practice and research. Each battery has possible disadvantages, such as practice effects, poor sensitivity and specificity, and questionable applicability to multiple sclerosis. Based on our review of the literature, we describe the tests that are currently being used or that might be used in assessing cognitive deficits in patients with multiple sclerosis, and we summarize the strengths and limitations of each.
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17
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Paul F. Pathology and MRI: exploring cognitive impairment in MS. Acta Neurol Scand 2016; 134 Suppl 200:24-33. [PMID: 27580903 DOI: 10.1111/ane.12649] [Citation(s) in RCA: 52] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/07/2016] [Indexed: 01/24/2023]
Abstract
Cognitive impairment is a frequent symptom in people with multiple sclerosis, affecting up to 70% of patients. This article reviews the published association of cognitive dysfunction with neuroimaging findings. Cognitive impairment has been related to focal T2 hyperintense lesions, diffuse white matter damage and corical and deep gray matter atrophy. Focal lesions cannot sufficiently explain cognitive dysfunction in MS; microstructural tissue damage detectable by diffusion tensor imaging and gray matter atrophy are probably at least as relevant. Resting state functional magnetic resonance imaging is increasingly used to investigate the contribution of functional connectivity changes to cognitive function in MS. The fact that at least one third of MS patients are not overtly cognitively impaired despite significant radiographic tissue damage argues for protective factors (brain reserve, cognitive reserve) that require further clarification. It is concluded that the reported correlations between imaging findings and cognitive function do not imply causality. Well conceived and sufficiently powered longitudinal studies are lacking. Such studies would help unravel protective mechanisms against cogniitve decline and identify suitable imaging techniques to monitor cognitive function in individual patients with MS.
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Affiliation(s)
- F. Paul
- NeuroCure Clinical Research Center and Clinical and Experimental Multiple Sclerosis Research Center; Department of Neurology; Charité - Universitaetsmedizin Berlin; Berlin Germany
- Experimental and Clinical Research Center; Max Delbrueck Center for Molecular Medicine and Charité - Universitaetsmedizin Berlin; Berlin Germany
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18
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Geisseler O, Pflugshaupt T, Bezzola L, Reuter K, Weller D, Schuknecht B, Brugger P, Linnebank M. Cortical thinning in the anterior cingulate cortex predicts multiple sclerosis patients' fluency performance in a lateralised manner. Neuroimage Clin 2015; 10:89-95. [PMID: 26759784 PMCID: PMC4683425 DOI: 10.1016/j.nicl.2015.11.008] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2015] [Revised: 11/10/2015] [Accepted: 11/12/2015] [Indexed: 11/29/2022]
Abstract
Cognitive impairment is as an important feature of Multiple Sclerosis (MS), and might be even more relevant to patients than mobility restrictions. Compared to the multitude of studies investigating memory deficits or basic cognitive slowing, executive dysfunction is a rarely studied cognitive domain in MS, and its neural correlates remain largely unexplored. Even rarer are topological studies on specific cognitive functions in MS. Here we used several structural MRI parameters - including cortical thinning and T2 lesion load - to investigate neural correlates of executive dysfunction, both on a global and a regional level by means of voxel- and vertex-wise analyses. Forty-eight patients with relapsing-remitting MS and 48 healthy controls participated in the study. Five executive functions were assessed, i.e. verbal and figural fluency, working memory, interference control and set shifting. Patients scored lower than controls in verbal and figural fluency only, and displayed widespread cortical thinning. On a global level, cortical thickness independently predicted verbal fluency performance, when controlling for lesion volume and central brain atrophy estimates. On a regional level, cortical thinning in the anterior cingulate region correlated with deficits in verbal and figural fluency and did so in a lateralised manner: Left-sided thinning was related to reduced verbal - but not figural - fluency, whereas the opposite pattern was observed for right-sided thinning. We conclude that executive dysfunction in MS patients can specifically affect verbal and figural fluency. The observed lateralised clinico-anatomical correlation has previously been described in brain-damaged patients with large focal lesions only, for example after stroke. Based on focal grey matter atrophy, we here show for the first time comparable lateralised findings in a white matter disease with widespread pathology.
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Affiliation(s)
- Olivia Geisseler
- Department of Neurology, University Hospital Zurich, Frauenklinikstrasse 26, 8091 Zurich, Switzerland
- Department of Psychology, University of Zurich, Binzmühlestrasse 14/1, 8050 Zürich, Switzerland
| | - Tobias Pflugshaupt
- Department of Neurology, University Hospital Zurich, Frauenklinikstrasse 26, 8091 Zurich, Switzerland
- Neurology and Neurorehabilitation Center, Luzerner Kantonsspital, 6016 Luzern, Switzerland
| | - Ladina Bezzola
- URPP Dynamics of Healthy Aging, University of Zurich, Andreasstrasse 15/Box 2, 8050 Zurich, Switzerland
| | - Katja Reuter
- Department of Neurology, University Hospital Zurich, Frauenklinikstrasse 26, 8091 Zurich, Switzerland
| | - David Weller
- Department of Neurology, University Hospital Zurich, Frauenklinikstrasse 26, 8091 Zurich, Switzerland
| | - Bernhard Schuknecht
- Medizinisch Radiologisches Institut, Bahnhofplatz 3, 8001 Zurich, Switzerland
| | - Peter Brugger
- Department of Neurology, University Hospital Zurich, Frauenklinikstrasse 26, 8091 Zurich, Switzerland
| | - Michael Linnebank
- Department of Neurology, University Hospital Zurich, Frauenklinikstrasse 26, 8091 Zurich, Switzerland
- Department of Neurology, Helios-Klinik Hagen-Ambrock, Ambrocker Weg 60, 58091 Hagen, Germany
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19
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DeLuca GC, Yates RL, Beale H, Morrow SA. Cognitive impairment in multiple sclerosis: clinical, radiologic and pathologic insights. Brain Pathol 2015; 25:79-98. [PMID: 25521179 PMCID: PMC8029470 DOI: 10.1111/bpa.12220] [Citation(s) in RCA: 121] [Impact Index Per Article: 13.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2014] [Accepted: 10/15/2014] [Indexed: 01/18/2023] Open
Abstract
Cognitive impairment is a common and debilitating feature of multiple sclerosis (MS) that has only recent gained considerable attention. Clinical neuropsychological studies have made apparent the multifaceted nature of cognitive troubles often encountered in MS and continue to broaden our understanding of its complexity. Radiographic studies have started to decipher the neuroanatomic substrate of MS-related cognitive impairment and have shed light onto its pathogenesis. Where radiographic studies have been limited by inadequate resolution or non-specificity, pathological studies have come to the fore. This review aims to provide an overview of the nature of cognitive impairment typically seen in MS and to explore the literature on imaging and pathological studies relevant to its evolution. In particular, the relative contributions of gray (i.e., cerebral cortex, hippocampus, thalamus and basal ganglia) and white matter to MS-related cognitive impairment will be discussed and the importance of interconnectivity between structures highlighted. The pressing need for longitudinal studies combining standardized neuropsychometric, paraclinical and radiographic outcomes obtained during life with post-mortem tissue analysis after death is presented.
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Affiliation(s)
- Gabriele C. DeLuca
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUK
| | - Richard L. Yates
- Nuffield Department of Clinical NeurosciencesUniversity of OxfordOxfordUK
| | - Harry Beale
- Oxford Medical SchoolUniversity of OxfordOxfordUK
| | - Sarah A. Morrow
- Department of Clinical Neurological SciencesThe University of Western OntarioLondonCanada
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20
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Niino M, Mifune N, Kohriyama T, Mori M, Ohashi T, Kawachi I, Shimizu Y, Fukaura H, Nakashima I, Kusunoki S, Miyamoto K, Yoshida K, Kanda T, Nomura K, Yamamura T, Yoshii F, Kira JI, Nakane S, Yokoyama K, Matsui M, Miyazaki Y, Kikuchi S. Association of cognitive impairment with magnetic resonance imaging findings and social activities in patients with multiple sclerosis. ACTA ACUST UNITED AC 2014. [DOI: 10.1111/cen3.12133] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
- Masaaki Niino
- Department of Clinical Research; Hokkaido Medical Center; Sapporo Japan
| | - Nobuhiro Mifune
- School of Management; Kochi University of Technology; Kochi Japan
| | - Tatsuo Kohriyama
- Department of Neurology; Hiroshima City Hospital; Hiroshima Japan
| | - Masahiro Mori
- Department of Neurology; Graduate School of Medicine; Chiba University; Chiba Japan
| | - Takashi Ohashi
- Department of Neurology; Tokyo Women's Medical University Yachiyo Medical Center; Chiba Japan
| | - Izumi Kawachi
- Department of Neurology; Brain Research Institute; Niigata University; Niigata Japan
| | - Yuko Shimizu
- Department of Neurology; Tokyo Women's Medical University School of Medicine; Tokyo Japan
| | - Hikoaki Fukaura
- Department of Neurology; Iwate Medical School; Morioka Japan
- Department of Neurology; Saitama Medical Center; Saitama Medical University; Saitama Japan
| | - Ichiro Nakashima
- Department of Neurology; Tohoku University School of Medicine; Sendai Japan
| | - Susumu Kusunoki
- Department of Neurology; Kinki University School of Medicine; Osaka Japan
| | - Katsuichi Miyamoto
- Department of Neurology; Kinki University School of Medicine; Osaka Japan
| | - Kazuto Yoshida
- Department of Neurology; Asahikawa Red Cross Hospital; Asahikawa Japan
| | - Takashi Kanda
- Department of Neurology and Clinical Neuroscience; Yamaguchi University Graduate School of Medicine; Yamaguchi Japan
| | - Kyoichi Nomura
- Department of Neurology; Saitama Medical Center; Saitama Medical University; Saitama Japan
| | - Takashi Yamamura
- Department of Immunology; National Institute of Neuroscience; National Center of Neurology and Psychiatry; Tokyo Japan
| | - Fumihito Yoshii
- Department of Neurology; Tokai University School of Medicine; Kanagawa Japan
| | - Jun-ichi Kira
- Department of Neurology; Neurological Institute; Graduate School of Medical Sciences; Kyushu University; Fukuoka Japan
| | - Shunya Nakane
- Department of Clinical Research; Nagasaki Kawatana Medical Center; Nagasaki Japan
| | - Kazumasa Yokoyama
- Department of Neurology; Juntendo University School of Medicine; Tokyo Japan
| | - Makoto Matsui
- Department of Neurology; Kanazawa Medical University; Ishikawa Japan
| | - Yusei Miyazaki
- Department of Neurology; Hokkaido Medical Center; Sapporo Japan
| | - Seiji Kikuchi
- Department of Neurology; Hokkaido Medical Center; Sapporo Japan
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Longitudinal MRI and neuropsychological assessment of patients with clinically isolated syndrome. J Neurol 2014; 261:1735-44. [DOI: 10.1007/s00415-014-7413-9] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2014] [Revised: 06/09/2014] [Accepted: 06/10/2014] [Indexed: 01/13/2023]
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Jongen PJ, Wesnes K, van Geel B, Pop P, Sanders E, Schrijver H, Visser LH, Gilhuis HJ, Sinnige LG, Brands AM. Relationship between working hours and power of attention, memory, fatigue, depression and self-efficacy one year after diagnosis of clinically isolated syndrome and relapsing remitting multiple sclerosis. PLoS One 2014; 9:e96444. [PMID: 24787714 PMCID: PMC4006840 DOI: 10.1371/journal.pone.0096444] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2013] [Accepted: 04/09/2014] [Indexed: 11/18/2022] Open
Abstract
The role of cognitive domain dysfunction with respect to vocational changes in persons with Clinically Isolated Syndrome (CIS) and early Relapsing Remitting Multiple Sclerosis (eRRMS) is insufficiently known. We investigated thirty-three patients - 14 CIS, 19 eRRMS -, mean (standard deviation [SD]) time since diagnosis 13.5 (4.8) months and mean (SD) Expanded Disability Status Scale (EDSS) score 1.3 (1.1). Patients were assessed on the CDR System, a set of automated tests of cognitive function, which yielded scores for Power of Attention (ms), Continuity of Attention (#), Working Memory (SI), Episodic Memory (#) and Speed of Memory (ms). Work-related items and the confounding variables fatigue, depression, disease impact and self-efficacy, were assessed by self-report questionnaires. Patients had poorer Power of Attention compared to normative data (1187 [161.5] vs. 1070 [98.6]; P<0.0001) and slower Speed of Memory (4043 [830.6]) vs. 2937 [586.1]; P<0.0001). Power of Attention (Pearson r = −0.42; P<0.04), Working Memory (r = 0.42; P<0.04) and depression r = −0.41; P<0.05) correlated with number of days worked per week. Fatigue (r = −0.56; P<0.005), self-efficacy (r = 0.56; P<0.005) and disease impact (r = −0.46; P<0.05) correlated with number of hours worked per week. Persons who wished to work less had poorer Power of Attention (1247 vs. 1116 ms; P<0.02), those who wished to change job had poorer Episodic Memory (1.35 vs. 1.57; p<0.03). People who reduced working hours within 12 months after diagnosis had higher fatigue and disease impact, and lower self-efficacy. The findings of this pilot study indicate that one year after the diagnosis of CIS and RRMS Power of Attention and Speed of Memory are reduced, that Power of Attention and Memory are associated with a capability of working less hours, and that fatigue, depression and disease impact may negatively, and self-efficacy positively affect working hours.
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Affiliation(s)
| | - Keith Wesnes
- Bracket, Goring-on-Thames, United Kingdom; Swinburne University, Melbourne, Australia
| | | | - Paul Pop
- Viecuri Medisch Centrum, Venlo-Venray, The Netherlands
| | | | | | - Leo H Visser
- St. Elisabeth Ziekenhuis, Tilburg, The Netherlands
| | | | | | - Augustina M Brands
- Department of Experimental Psychology, Utrecht University, The Netherlands; Zuwe Hofpoort Ziekenhuis/Regionaal Psychiatrisch Centrum Woerden, The Netherlands
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23
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Relevance of brain lesion location to cognition in relapsing multiple sclerosis. PLoS One 2012; 7:e44826. [PMID: 23144775 PMCID: PMC3489883 DOI: 10.1371/journal.pone.0044826] [Citation(s) in RCA: 66] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2012] [Accepted: 08/07/2012] [Indexed: 01/21/2023] Open
Abstract
OBJECTIVE To assess the relationship between cognition and brain white matter (WM) lesion distribution and frequency in patients with relapsing-remitting multiple sclerosis (RR MS). METHODS MRI-based T2 lesion probability map (LPM) was used to assess the relevance of brain lesion location for cognitive impairment in a group of 142 consecutive patients with RRMS. Significance of voxelwise analyses was p<0.05, cluster-corrected for multiple comparisons. The Rao Brief Repeatable Battery was administered at the time of brain MRI to categorize the MS population into cognitively preserved (CP) and cognitively impaired (CI). RESULTS Out of 142 RRMS, 106 were classified as CP and 36 as CI. Although the CI group had greater WM lesion volume than the CP group (p = 0.001), T2 lesions tended to be less widespread across the WM. The peak of lesion frequency was almost twice higher in CI (61% in the forceps major) than in CP patients (37% in the posterior corona radiata). The voxelwise analysis confirmed that lesion frequency was higher in CI than in CP patients with significant bilateral clusters in the forceps major and in the splenium of the corpus callosum (p<0.05, corrected). Low scores of the Symbol Digit Modalities Test correlated with higher lesion frequency in these WM regions. CONCLUSIONS Overall these results suggest that in MS patients, areas relevant for cognition lie mostly in the commissural fiber tracts. This supports the notion of a functional (multiple) disconnection between grey matter structures, secondary to damage located in specific WM areas, as one of the most important mechanisms leading to cognitive impairment in MS.
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Wybrecht D, Reuter F, Zaaraoui W, Faivre A, Crespy L, Rico A, Malikova I, Confort-Gouny S, Soulier E, Cozzone PJ, Pelletier J, Ranjeva JP, Audoin B. Voxelwise analysis of conventional magnetic resonance imaging to predict future disability in early relapsing–remitting multiple sclerosis. Mult Scler 2012; 18:1585-91. [DOI: 10.1177/1352458512442991] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: The ability of conventional magnetic resonance imaging (MRI) to predict subsequent physical disability and cognitive deterioration after a clinically isolated syndrome (CIS) is weak. Objectives: We aimed to investigate whether conventional MRI changes over 1 year could predict cognitive and physical disability 5 years later in CIS. We performed analyses using a global approach (T2 lesion load, number of T2 lesions), but also a topographic approach. Methods: This study included 38 patients with a CIS. At inclusion, 10 out of 38 patients fulfilled the 2010 revised McDonald’s criteria for the diagnosis of multiple sclerosis. Expanded Disability Status Scale (EDSS) evaluation was performed at baseline, year 1 and year 5, and cognitive evaluation at baseline and year 5. T2-weighted MRI was performed at baseline and year 1. We used voxelwise analysis to analyse the predictive value of lesions location for subsequent disability. Results: Using the global approach, no correlation was found between MRI and clinical data. The occurrence or growth of new lesions in the brainstem was correlated with EDSS changes over the 5 years of follow-up. The occurrence or growth of new lesions in cerebellum, thalami, corpus callosum and frontal lobes over 1 year was correlated with cognitive impairment at 5 years. Conclusion: The assessment of lesion location at the first stage of multiple sclerosis may be of value to predict future clinical disability.
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Affiliation(s)
- Delphine Wybrecht
- Aix-Marseille University, CEMEREM, UMR 7339, Marseille, France
- Service de Neurologie, Hôpital d’Instruction des Armées Sainte Anne, Toulon, France
| | - Françoise Reuter
- Aix-Marseille University, CEMEREM, UMR 7339, Marseille, France
- APHM, Hôpital de la Timone, Pôle de Neurosciences Cliniques, Service de Neurologie, Marseille, France
| | - Wafaa Zaaraoui
- Aix-Marseille University, CEMEREM, UMR 7339, Marseille, France
| | - Anthony Faivre
- Aix-Marseille University, CEMEREM, UMR 7339, Marseille, France
- Service de Neurologie, Hôpital d’Instruction des Armées Sainte Anne, Toulon, France
| | - Lydie Crespy
- Aix-Marseille University, CEMEREM, UMR 7339, Marseille, France
- APHM, Hôpital de la Timone, Pôle de Neurosciences Cliniques, Service de Neurologie, Marseille, France
| | - Audrey Rico
- Aix-Marseille University, CEMEREM, UMR 7339, Marseille, France
- APHM, Hôpital de la Timone, Pôle de Neurosciences Cliniques, Service de Neurologie, Marseille, France
| | - Irina Malikova
- Aix-Marseille University, CEMEREM, UMR 7339, Marseille, France
- APHM, Hôpital de la Timone, Pôle de Neurosciences Cliniques, Service de Neurologie, Marseille, France
| | | | | | | | - Jean Pelletier
- Aix-Marseille University, CEMEREM, UMR 7339, Marseille, France
- APHM, Hôpital de la Timone, Pôle de Neurosciences Cliniques, Service de Neurologie, Marseille, France
| | | | - Bertrand Audoin
- Aix-Marseille University, CEMEREM, UMR 7339, Marseille, France
- APHM, Hôpital de la Timone, Pôle de Neurosciences Cliniques, Service de Neurologie, Marseille, France
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