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Rose DR, Amin M, Ontaneda D. Prediction in treatment outcomes in multiple sclerosis: challenges and recent advances. Expert Rev Clin Immunol 2021; 17:1187-1198. [PMID: 34570656 DOI: 10.1080/1744666x.2021.1986005] [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: 10/20/2022]
Abstract
INTRODUCTION Multiple Sclerosis (MS) is a chronic autoimmune and neurodegenerative disease of the central nervous system with a course dependent on early treatment response. Increasing evidence also suggests that despite eliminating disease activity (relapses and lesions), many patients continue to accrue disability, highlighting the need for a more comprehensive definition of treatment success. Optimizing disability outcome measures, as well as continuously improving our understanding of neuroinflammatory and neurodegenerative biomarkers is required. AREAS COVERED This review describes the challenges inherent in classifying and monitoring disease phenotype in MS. The review also provides an assessment of clinical, radiological, and blood biomarker tools for current and future practice. EXPERT OPINION Emerging MRI techniques and standardized patient outcome assessments will increase the accuracy of initial diagnosis and understanding of disease progression.
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Affiliation(s)
- Deja R Rose
- Cleveland Clinic, Mellen Center for Multiple Sclerosis, Cleveland Ohio, United States
| | - Moein Amin
- Cleveland Clinic, Mellen Center for Multiple Sclerosis, Cleveland Ohio, United States.,Department of Neurology, Cleveland Clinic, Cleveland Ohio, United States
| | - Daniel Ontaneda
- Cleveland Clinic, Mellen Center for Multiple Sclerosis, Cleveland Ohio, United States.,Department of Neurology, Cleveland Clinic, Cleveland Ohio, United States
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Jandric D, Doshi A, Scott R, Paling D, Rog D, Chataway J, Schoonheim M, Parker G, Muhlert N. A systematic review of resting state functional MRI connectivity changes and cognitive impairment in multiple sclerosis. Brain Connect 2021; 12:112-133. [PMID: 34382408 DOI: 10.1089/brain.2021.0104] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
INTRODUCTION Cognitive impairment in multiple sclerosis (MS) is increasingly being investigated with resting state functional MRI (rs-fMRI) functional connectivity (FC) . However, results remain difficult to interpret, showing both high and low FC associated with cognitive impairment. We conducted a systematic review of rs-fMRI studies in MS to understand whether the direction of FC change relates to cognitive dysfunction, and how this may be influenced by the choice of methodology. METHODS Embase, Medline and PsycINFO were searched for studies assessing cognitive function and rs-fMRI FC in adults with MS. RESULTS Fifty-seven studies were included in a narrative synthesis. Of these, 50 found an association between cognitive impairment and FC abnormalities. Worse cognition was linked to high FC in 18 studies, and to low FC in 17 studies. Nine studies found patterns of both high and low FC related to poor cognitive performance, in different regions or for different MR metrics. There was no clear link to increased FC during early stages of MS and reduced FC in later stages, as predicted by common models of MS pathology. Throughout, we found substantial heterogeneity in study methodology, and carefully consider how this may impact on the observed findings. DISCUSSION These results indicate an urgent need for greater standardisation in the field - in terms of the choice of MRI analysis and the definition of cognitive impairment. This will allow us to use rs-fMRI FC as a biomarker in future clinical studies, and as a tool to understand mechanisms underpinning cognitive symptoms in MS.
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Affiliation(s)
- Danka Jandric
- The University of Manchester, 5292, Oxford Road, Manchester, United Kingdom of Great Britain and Northern Ireland, M13 9PL;
| | - Anisha Doshi
- University College London, 4919, London, London, United Kingdom of Great Britain and Northern Ireland;
| | - Richelle Scott
- The University of Manchester, 5292, Manchester, United Kingdom of Great Britain and Northern Ireland;
| | - David Paling
- Royal Hallamshire Hospital, 105629, Sheffield, Sheffield, United Kingdom of Great Britain and Northern Ireland;
| | - David Rog
- Salford Royal Hospital, 105621, Salford, Salford, United Kingdom of Great Britain and Northern Ireland;
| | - Jeremy Chataway
- University College London, 4919, London, London, United Kingdom of Great Britain and Northern Ireland;
| | - Menno Schoonheim
- Amsterdam UMC Locatie VUmc, 1209, Anatomy & Neurosciences, Amsterdam, Noord-Holland, Netherlands;
| | - Geoff Parker
- University College London, 4919, London, London, United Kingdom of Great Britain and Northern Ireland.,The University of Manchester, 5292, Manchester, United Kingdom of Great Britain and Northern Ireland;
| | - Nils Muhlert
- The University of Manchester, 5292, Manchester, United Kingdom of Great Britain and Northern Ireland;
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Ma Q, Wu X, Pan J, Zhu Q, Mao X. Primary visual cortex of the brain is associated with optic nerve head changes in neuromyelitis optica spectrum disorders. Clin Neurol Neurosurg 2021; 208:106822. [PMID: 34311202 DOI: 10.1016/j.clineuro.2021.106822] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Revised: 07/11/2021] [Accepted: 07/12/2021] [Indexed: 11/18/2022]
Abstract
OBJECTIVE To explore the association between the primary visual cortex in the brain and optic nerve head changes, ONH, (structural thickness and microvascular changes) in neuromyelitis optica spectrum disorder (NMOSD). METHODS Nineteen patients who were aquaporin-4 (AQP-4) seropositive NMOSD patients and twenty-two healthy controls (HC) were enrolled for this cross-sectional study. Optical coherence tomographic angiography (OCT-A) was used to image and measure the capillaries density (RPC, radial peripapillary capillaries) and structural thickness (pRNFL, peripapillary retinal nerve fiber layer) around the optic nerve head. A resting-state functional magnetic resonance imaging was used to image and evaluate the gray matter volume (GMV) and functional connectivity (FC) the brain of each participant. We assessed the primary visual cortex (lingual gyrus, calcarine sulcus and thalamus) of the brain. RESULTS Changes in RPC density showed a significant association (P < 0.05) with FC of the right lingual gyrus, bilateral calcarine gyrus and left thalamus respectively. pRNFL thickness showed significant association with FC of the right lingual gyrus (Rho = 0.374, P = 0.016), right calcarine gyrus (Rho = 0.355, P = 0.023) and left thalamus (Rho = 0.376, P = 0.015) respectively. CONCLUSIONS Visual impairment, structural and microvascular changes around optic nerve head is associated with the functional visual networks in NMOSD. Our report suggests that structural and microvascular changes around the ONH reflect the changes in the primary visual cortex of the brain.
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Affiliation(s)
- Qingkai Ma
- Department of Ophthalmology, The First Affiliated Hospital of Anhui Medical University, Anhui 230022, China
| | - Xiao Wu
- Department of Emergency, The First Affiliated Hospital of Anhui Medical University, Anhui 230022, China; Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, School of Medicine, Southeast University, Jiangsu 210009, China
| | - Jianfei Pan
- Department of Emergency, The First Affiliated Hospital of Anhui Medical University, Anhui 230022, China
| | - Quanwei Zhu
- Department of Emergency, The First Affiliated Hospital of Anhui Medical University, Anhui 230022, China
| | - Xiang Mao
- Department of Neurosurgery, The First Affiliated Hospital of Anhui Medical University, Anhui 230022, China.
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54
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Høgestøl EA, Ghezzo S, Nygaard GO, Espeseth T, Sowa P, Beyer MK, Harbo HF, Westlye LT, Hulst HE, Alnæs D. Functional connectivity in multiple sclerosis modelled as connectome stability: A 5-year follow-up study. Mult Scler 2021; 28:532-540. [PMID: 34259578 PMCID: PMC8961247 DOI: 10.1177/13524585211030212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Background: Brain functional connectivity (FC) in multiple sclerosis (MS) is abnormal
compared to healthy controls (HCs). More longitudinal studies in MS are
needed to evaluate whether FC stability is clinically relevant. Objective: To compare functional magnetic resonance imaging (fMRI)-based FC between MS
and HC, and to determine the relationship between longitudinal FC changes
and structural brain damage, cognitive performance and physical
disability. Methods: T1-weighted MPRAGE and resting-state fMRI (1.5T) were acquired from 70
relapsing-remitting MS patients and 94 matched HC at baseline (mean months
since diagnosis 14.0 ± 11) and from 60 MS patients after 5 years.
Independent component analysis and network modelling were used to measure
longitudinal FC stability and cross-sectional comparisons with HC. Linear
mixed models, adjusted for age and sex, were used to calculate
correlations. Results: At baseline, patients with MS showed FC abnormalities both within networks
and in single connections compared to HC. Longitudinal analyses revealed
functional stability and no significant relationships with clinical
disability, cognitive performance, lesion or brain volume. Conclusion: FC abnormalities occur already at the first decade of MS, yet we found no
relevant clinical correlations for these network deviations. Future
large-scale longitudinal fMRI studies across a range of MS subtypes and
outcomes are required.
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Affiliation(s)
- Einar August Høgestøl
- "Department of Neurology, Neuroscience Research Unit, Multiple Sclerosis Research Group University of Oslo & Oslo University Hospital; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Samuele Ghezzo
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway/Department of Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Gro Owren Nygaard
- Department of Neurology, Neuroscience Research Unit, Multiple Sclerosis Research Group University of Oslo & Oslo University Hospital, Oslo, Norway
| | - Thomas Espeseth
- Department of Psychology, University of Oslo, Oslo, Norway; Bjørknes College, Oslo, Norway
| | - Piotr Sowa
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Mona K Beyer
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway/Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Hanne Flinstad Harbo
- "Department of Neurology, Neuroscience Research Unit, Multiple Sclerosis Research Group University of Oslo & Oslo University Hospital; Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Lars T Westlye
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway/Department of Psychology, University of Oslo, Oslo, Norway/KG Jebsen Centre for Neurodevelopmental Disorders, University of Oslo, Oslo, Norway
| | - Hanneke E Hulst
- Department of Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands/Department of Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, The Netherlands
| | - Dag Alnæs
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Bjørknes College, Oslo, Norway
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55
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Zhang J, Cortese R, De Stefano N, Giorgio A. Structural and Functional Connectivity Substrates of Cognitive Impairment in Multiple Sclerosis. Front Neurol 2021; 12:671894. [PMID: 34305785 PMCID: PMC8297166 DOI: 10.3389/fneur.2021.671894] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Accepted: 05/19/2021] [Indexed: 02/05/2023] Open
Abstract
Cognitive impairment (CI) occurs in 43 to 70% of multiple sclerosis (MS) patients at both early and later disease stages. Cognitive domains typically involved in MS include attention, information processing speed, memory, and executive control. The growing use of advanced magnetic resonance imaging (MRI) techniques is furthering our understanding on the altered structural connectivity (SC) and functional connectivity (FC) substrates of CI in MS. Regarding SC, different diffusion tensor imaging (DTI) measures (e.g., fractional anisotropy, diffusivities) along tractography-derived white matter (WM) tracts showed relevance toward CI. Novel diffusion MRI techniques, including diffusion kurtosis imaging, diffusion spectrum imaging, high angular resolution diffusion imaging, and neurite orientation dispersion and density imaging, showed more pathological specificity compared to the traditional DTI but require longer scan time and mathematical complexities for their interpretation. As for FC, task-based functional MRI (fMRI) has been traditionally used in MS to brain mapping the neural activity during various cognitive tasks. Analysis methods of resting fMRI (seed-based, independent component analysis, graph analysis) have been applied to uncover the functional substrates of CI in MS by revealing adaptive or maladaptive mechanisms of functional reorganization. The relevance for CI in MS of SC–FC relationships, reflecting common pathogenic mechanisms in WM and gray matter, has been recently explored by novel MRI analysis methods. This review summarizes recent advances on MRI techniques of SC and FC and their potential to provide a deeper understanding of the pathological substrates of CI in MS.
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Affiliation(s)
- Jian Zhang
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Rosa Cortese
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Nicola De Stefano
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Antonio Giorgio
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
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Cognitive-motor Interference in Individuals With a Neurologic Disorder: A Systematic Review of Neural Correlates. Cogn Behav Neurol 2021; 34:79-95. [PMID: 34074863 DOI: 10.1097/wnn.0000000000000269] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Accepted: 10/15/2020] [Indexed: 11/26/2022]
Abstract
BACKGROUND Performing a cognitive task and a motor task simultaneously is an everyday act that can lead to decreased performance on both tasks. OBJECTIVE To provide insight into the neural correlates associated with cognitive-motor dual tasking in individuals with a neurologic disorder. METHOD We searched the PubMed and Web of Science databases for studies that had been published up to January 16th, 2019. Studies investigating the neural correlates of cognitive-motor dual task performance in individuals with a variety of neurologic disorders were included, independently from whether the study included healthy controls. Clinical and imaging data were abstracted for the comparison between single tasks and a dual task in the individuals with a neurologic disorder and for the comparison between the healthy controls and the individuals with a neurologic disorder. RESULTS Eighteen studies met the inclusion criteria. Study populations included individuals with Parkinson disease, multiple sclerosis, mild cognitive impairment, Alzheimer disease, traumatic brain injury, and stroke. Neuroimaging types used to study the neural correlates of cognitive-motor dual tasking during upper limb or gait tasks included fMRI, functional near-infrared spectroscopy, EEG, and PET. CONCLUSION Despite large heterogeneity in study methodologies, some recurrent patterns were noted. Particularly, in neurologic patients, an already higher brain activation during single tasks was seen compared with healthy controls, perhaps compromising the patients' ability to further adapt brain activation with increasing load during dual tasking and resulting in reduced behavioral dual task performance.
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57
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Boscheron J, Ruet A, Deloire M, Charré-Morin J, Saubusse A, Brochet B, Tourdias T, Koubiyr I. Insights on the Relationship Between Hippocampal Connectivity and Memory Performances at the Early Stage of Multiple Sclerosis. Front Neurol 2021; 12:667531. [PMID: 34093415 PMCID: PMC8170471 DOI: 10.3389/fneur.2021.667531] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2021] [Accepted: 04/19/2021] [Indexed: 11/13/2022] Open
Abstract
While memory impairment in multiple sclerosis (MS) is known to be associated with hippocampal alterations, whether hippocampal networks could dynamically reorganize as a compensation mechanism is still a matter of debate. In this context, our aim was to identify the patterns of structural and functional connectivity between the hippocampus and the rest of the brain and their possible relevance to memory performances in early MS. Thirty-two patients with a first episode suggestive of MS together with 10 matched healthy controls were prospectively explored at baseline, 1 and 5 years follow up. They were scanned with MRI and underwent a neuropsychological battery of tests that included the Selective Reminding Test and the Brief Visual Memory Test Revised to assess verbal and visuo-spatial memory, respectively. Hippocampal volume was computed together with four graph theory metrics to study the structural and functional connectivity of both hippocampi with the rest of the brain. Associations between network parameters and memory performances were assessed using linear mixed-effects (LME) models. Considering cognitive abilities, verbal memory performances of patients decreased over time while visuo-spatial memory performances were maintained. In parallel, hippocampal volumes decreased significantly while structural and functional connectivity metrics were modified, with an increase in hippocampal connections over time. More precisely, these modifications were indicating a reinforcement of hippocampal short-distance connections. LME models revealed that the drop in verbal memory performances was associated with hippocampal volume loss, while the preservation of visuo-spatial memory performances was linked to decreased hippocampal functional shortest path length. In conclusion, we demonstrated a differential impairment in memory performances in the early stages of MS and an important interplay between hippocampal-related structural and functional networks and those performances. As the structural damage increases, functional reorganization seems to be able to maintain visuo-spatial memory performances with strengthened short-distance connections.
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Affiliation(s)
| | - Aurélie Ruet
- Univ. Bordeaux, INSERM, Neurocentre Magendie, U1215, Bordeaux, France.,CHU de Bordeaux, Service de Neurologie, Bordeaux, France
| | | | | | | | - Bruno Brochet
- Univ. Bordeaux, INSERM, Neurocentre Magendie, U1215, Bordeaux, France
| | - Thomas Tourdias
- Univ. Bordeaux, INSERM, Neurocentre Magendie, U1215, Bordeaux, France.,CHU de Bordeaux, Neuroimagerie diagnostique et thérapeutique, Bordeaux, France
| | - Ismail Koubiyr
- Univ. Bordeaux, INSERM, Neurocentre Magendie, U1215, Bordeaux, France
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58
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Alterations in functional connectivity are associated with white matter lesions and information processing efficiency in multiple sclerosis. Brain Imaging Behav 2021; 15:375-388. [PMID: 32114647 DOI: 10.1007/s11682-020-00264-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Functional connectivity (FC) is typically altered in individuals with Multiple Sclerosis (MS). However, in relapsing-remitting multiple sclerosis (RRMS) patients, the relationship between brain FC, tissue integrity and cognitive impairment is still unclear as contradictory findings have been documented. In this exploratory study we compared both the whole brain connectome and resting state networks (RSNs) FC of twenty-one RRMS and seventeen healthy controls (HCs), using combined network based statistics and independent component analyses. The total white matter (WM) lesion volume and information processing efficiency were also correlated with FC in the RRMS group. Both whole brain connectome and individual RSNs FC were diminished in patients with RRMS compared to HC. Additionally, the reduction in FC was found to be a function of the total WM lesion volume, with greatest impact in those harboring the largest lesion volume. Finally, a positive correlation between FC and information processing efficiency was observed in RRMS. This complimentary whole brain and RSNs FC approach can contribute to clarify literature inconsistencies regarding FC alterations and provide new insights on the white matter structural damage in explaining functional abnormalities in RRMS.
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59
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Penner IK, Gass A, Schreiber H, Wattjes MP. [Neuropsychological and MRI diagnostics in secondary progressive multiple sclerosis]. DER NERVENARZT 2021; 92:1293-1301. [PMID: 33891150 PMCID: PMC8648628 DOI: 10.1007/s00115-021-01118-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 03/02/2021] [Indexed: 11/24/2022]
Abstract
Hintergrund Die Multiple Sklerose ist im longitudinalen Verlauf oft ein Krankheitskontinuum mit initial schubförmig-remittierender Phase (RRMS) und späterer sekundärer Progredienz (SPMS). Die meisten bisher zugelassenen Therapien sind bei SPMS nicht ausreichend wirksam. Die frühe Erkennung der SPMS-Konversion ist daher entscheidend für die Therapiewahl. Wichtige Entscheidungshilfen können dabei die Testung kognitiver Teilleistungen und die Magnetresonanztomographie (MRT) sein. Ziel der Arbeit Darstellung der Bedeutung kognitiver Testungen und von MRT-Untersuchungen für Prädiktion und Erfassung der SPMS-Konversion. Ausarbeitung von Strategien der Verlaufsbeobachtung und Therapiesteuerung in der Praxis, insbesondere in der ambulanten Versorgung. Material und Methoden Übersichtsarbeit auf Basis einer unsystematischen Literaturrecherche. Ergebnisse Standardisierte kognitive Testung kann für die frühe SPMS-Diagnose hilfreich sein und die Verlaufsbewertung erleichtern. Eine jährliche Anwendung sensitiver Screeningtests wie Symbol Digit Modalities Test (SDMT) und Brief Visual Memory Test-Revised (BVMT‑R) oder der Brief International Cognitive Assessment for MS (BICAMS)-Testbatterie ist empfehlenswert. Persistierende inflammatorische Aktivität im MRT in den ersten drei Jahren der Erkrankung sowie das Vorhandensein kortikaler Läsionen sind prädiktiv für eine SPMS-Konversion. Ein standardisiertes MRT-Monitoring auf Merkmale einer progressiven MS kann den klinisch und neurokognitiv begründeten SPMS-Verdacht stützen. Diskussion Die interdisziplinäre Versorgung von MS-Patienten durch klinisch versierte Neurologen, unterstützt durch neuropsychologische Testung und MRT, hat einen hohen Stellenwert für die SPMS-Prädiktion und Diagnose. Letztere erlaubt eine frühe Umstellung auf geeignete Therapien, da bei SPMS andere Interventionen als für die RRMS notwendig sind. Nach erfolgter medikamentöser Umstellung erlaubt die klinische, neuropsychologische und bildgebende Vigilanz ein stringentes Monitoring auf neuroinflammatorische und -degenerative Aktivität sowie Therapiekomplikationen.
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Affiliation(s)
- I-K Penner
- Klinik für Neurologie, Medizinische Fakultät, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Deutschland. .,COGITO Zentrum für angewandte Neurokognition und neuropsychologische Forschung, Merowingerplatz 1, 40225, Düsseldorf, Deutschland.
| | - A Gass
- Neurologische Klinik, Universitätsmedizin Mannheim, Mannheim, Deutschland
| | - H Schreiber
- Nervenärztliche Gemeinschaftspraxis, Neuropoint Akademie und NTD, Ulm, Deutschland
| | - M P Wattjes
- Institut für diagnostische und interventionelle Neuroradiologie, Medizinische Hochschule Hannover, Hannover, Deutschland
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60
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Schoonheim MM, Pinter D, Prouskas SE, Broeders TA, Pirpamer L, Khalil M, Ropele S, Uitdehaag BM, Barkhof F, Enzinger C, Geurts JJ. Disability in multiple sclerosis is related to thalamic connectivity and cortical network atrophy. Mult Scler 2021; 28:61-70. [PMID: 33870779 DOI: 10.1177/13524585211008743] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
BACKGROUND Thalamic atrophy is proposed to be a major predictor of disability progression in multiple sclerosis (MS), while thalamic function remains understudied. OBJECTIVES To study how thalamic functional connectivity (FC) is related to disability and thalamic or cortical network atrophy in two large MS cohorts. METHODS Structural and resting-state functional magnetic resonance imaging (fMRI) was obtained in 673 subjects from Amsterdam (MS: N = 332, healthy controls (HC): N = 96) and Graz (MS: N = 180, HC: N = 65) with comparable protocols, including disability measurements in MS (Expanded Disability Status Scale, EDSS). Atrophy was measured for the thalamus and seven well-recognized resting-state networks. Static and dynamic thalamic FC with these networks was correlated with disability. Significant correlates were included in a backward multivariate regression model. RESULTS Disability was most strongly related (adjusted R2 = 0.57, p < 0.001) to higher age, a progressive phenotype, thalamic atrophy and increased static thalamic FC with the sensorimotor network (SMN). Static thalamus-SMN FC was significantly higher in patients with high disability (EDSS ⩾ 4) and related to network atrophy but not thalamic atrophy or lesion volumes. CONCLUSION The severity of disability in MS was related to increased static thalamic FC with the SMN. Thalamic FC changes were only related to cortical network atrophy, but not to thalamic atrophy.
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Affiliation(s)
- Menno M Schoonheim
- Department of Anatomy and Neurosciences, VU University Medical Center, Amsterdam, The Netherlands
| | - Daniela Pinter
- Department of Neurology, Vascular and Interventional Radiology, Medical University of Graz, Graz, Austria
| | - Stefanos E Prouskas
- Department of Anatomy and Neurosciences, VU University Medical Center, Amsterdam, The Netherlands
| | - Tommy Aa Broeders
- Department of Anatomy and Neurosciences, VU University Medical Center, Amsterdam, The Netherlands
| | - Lukas Pirpamer
- Department of Neurology, Vascular and Interventional Radiology, Medical University of Graz, Graz, Austria
| | - Michael Khalil
- Department of Neurology, Vascular and Interventional Radiology, Medical University of Graz, Graz, Austria
| | - Stefan Ropele
- Department of Neurology, Vascular and Interventional Radiology, Medical University of Graz, Graz, Austria
| | - Bernard Mj Uitdehaag
- Department of Neurology, VU University Medical Center, Amsterdam, The Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, VU University Medical Center, Amsterdam, The Netherlands/Institutes of Neurology and Healthcare Engineering, University College London, London, UK
| | - Christian Enzinger
- Department of Neurology and Department of Radiology, Division of Neuroradiology, Vascular and Inverventional Radiology, Medical University of Graz, Graz, Austria
| | - Jeroen Jg Geurts
- Department of Anatomy and Neurosciences, VU University Medical Center, Amsterdam, The Netherlands
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Reia A, Petruzzo M, Falco F, Costabile T, Conenna M, Carotenuto A, Petracca M, Servillo G, Lanzillo R, Brescia Morra V, Moccia M. A Retrospective Exploratory Analysis on Cardiovascular Risk and Cognitive Dysfunction in Multiple Sclerosis. Brain Sci 2021; 11:502. [PMID: 33923390 PMCID: PMC8071566 DOI: 10.3390/brainsci11040502] [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] [Subscribe] [Scholar Register] [Received: 01/16/2021] [Revised: 03/22/2021] [Accepted: 04/13/2021] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Cardiovascular comorbidities have been associated with cognitive decline in the general population. OBJECTIVES To evaluate the associations between cardiovascular risk and neuropsychological performances in MS. METHODS This is a retrospective study, including 69 MS patients. For all patients, we calculated the Framingham risk score, which provides the 10-year probability of developing macrovascular disease, using age, sex, diabetes, smoking, systolic blood pressure, and cholesterol levels as input variables. Cognitive function was examined with the Brief International Cognitive Assessment for MS (BICAMS), including the Symbol Digit Modalities Test (SDMT), the California Verbal Learning Test-II (CVLT-II), and the Brief Visuospatial Memory Test-Revised (BVMT-R). RESULTS Each point increase of the Framingham risk score corresponded to 0.21 lower CVLT-II score. Looking at Framingham risk score components, male sex and higher total cholesterol levels corresponded to lower CVLT scores (Coeff = -8.54; 95%CI = -15.51, -1.57; and Coeff = -0.11; 95%CI = -0.20, -0.02, respectively). No associations were found between cardiovascular risk and SDMT or BVMT-R. CONCLUSIONS In our exploratory analyses, cardiovascular risk was associated with verbal learning dysfunction in MS. Lifestyle and pharmacological interventions on cardiovascular risk factors should be considered carefully in the management of MS, given the possible effects on cognitive function.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | | | - Marcello Moccia
- Department of Neurosciences, Reproductive Science and Odontostomatology, Federico II University, 80131 Naples, Italy; (A.R.); (M.P.); (F.F.); (T.C.); (M.C.); (A.C.); (M.P.); (G.S.); (R.L.); (V.B.M.)
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62
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Schoonheim MM, Douw L, Broeders TA, Eijlers AJ, Meijer KA, Geurts JJ. The cerebellum and its network: Disrupted static and dynamic functional connectivity patterns and cognitive impairment in multiple sclerosis. Mult Scler 2021; 27:2031-2039. [PMID: 33683158 PMCID: PMC8564243 DOI: 10.1177/1352458521999274] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Background: The impact of cerebellar damage and (dys)function on cognition remains
understudied in multiple sclerosis. Objective: To assess the cognitive relevance of cerebellar structural damage and
functional connectivity (FC) in relapsing-remitting multiple sclerosis
(RRMS) and secondary progressive multiple sclerosis (SPMS). Methods: This study included 149 patients with early RRMS, 81 late RRMS, 48 SPMS and
82 controls. Cerebellar cortical imaging included fractional anisotropy,
grey matter volume and resting-state functional magnetic resonance imaging
(MRI). Cerebellar FC was assessed with literature-based resting-state
networks, using static connectivity (that is, conventional correlations),
and dynamic connectivity (that is, fluctuations in FC strength). Measures
were compared between groups and related to disability and cognition. Results: Cognitive impairment (CI) and cerebellar damage were worst in SPMS. Only SPMS
showed cerebellar connectivity changes, compared to early RRMS and controls.
Lower static FC was seen in fronto-parietal and default-mode networks.
Higher dynamic FC was seen in dorsal and ventral attention, default-mode and
deep grey matter networks. Cerebellar atrophy and higher dynamic FC together
explained 32% of disability and 24% of cognitive variance. Higher dynamic FC
was related to working and verbal memory and to information processing
speed. Conclusion: Cerebellar damage and cerebellar connectivity changes were most prominent in
SPMS and related to worse CI.
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Affiliation(s)
- Menno M Schoonheim
- Department of Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Linda Douw
- Department of Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Tommy Aa Broeders
- Department of Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Anand Jc Eijlers
- Department of Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Kim A Meijer
- Department of Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Jeroen Jg Geurts
- Department of Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
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63
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Petracca M, Pontillo G, Moccia M, Carotenuto A, Cocozza S, Lanzillo R, Brunetti A, Brescia Morra V. Neuroimaging Correlates of Cognitive Dysfunction in Adults with Multiple Sclerosis. Brain Sci 2021; 11:346. [PMID: 33803287 PMCID: PMC8000635 DOI: 10.3390/brainsci11030346] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Revised: 03/02/2021] [Accepted: 03/04/2021] [Indexed: 02/06/2023] Open
Abstract
Cognitive impairment is a frequent and meaningful symptom in multiple sclerosis (MS), caused by the accrual of brain structural damage only partially counteracted by effective functional reorganization. As both these aspects can be successfully investigated through the application of advanced neuroimaging, here, we offer an up-to-date overview of the latest findings on structural, functional and metabolic correlates of cognitive impairment in adults with MS, focusing on the mechanisms sustaining damage accrual and on the identification of useful imaging markers of cognitive decline.
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Affiliation(s)
- Maria Petracca
- Department of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples “Federico II”, 80131 Naples, Italy; (M.P.); (M.M.); (A.C.); (V.B.M.)
| | - Giuseppe Pontillo
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, 80131 Naples, Italy; (G.P.); (S.C.); (A.B.)
- Department of Electrical Engineering and Information Technology, University of Naples “Federico II”, 80125 Naples, Italy
| | - Marcello Moccia
- Department of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples “Federico II”, 80131 Naples, Italy; (M.P.); (M.M.); (A.C.); (V.B.M.)
| | - Antonio Carotenuto
- Department of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples “Federico II”, 80131 Naples, Italy; (M.P.); (M.M.); (A.C.); (V.B.M.)
| | - Sirio Cocozza
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, 80131 Naples, Italy; (G.P.); (S.C.); (A.B.)
| | - Roberta Lanzillo
- Department of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples “Federico II”, 80131 Naples, Italy; (M.P.); (M.M.); (A.C.); (V.B.M.)
| | - Arturo Brunetti
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, 80131 Naples, Italy; (G.P.); (S.C.); (A.B.)
| | - Vincenzo Brescia Morra
- Department of Neurosciences, Reproductive and Odontostomatological Sciences, University of Naples “Federico II”, 80131 Naples, Italy; (M.P.); (M.M.); (A.C.); (V.B.M.)
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64
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Piervincenzi C, Petsas N, De Giglio L, Carmellini M, Giannì C, Tommasin S, Pozzilli C, Pantano P. Increased Within-Network Functional Connectivity May Predict NEDA Status in Fingolimod-Treated MS Patients. Front Neurol 2021; 12:632917. [PMID: 33746887 PMCID: PMC7973271 DOI: 10.3389/fneur.2021.632917] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Accepted: 01/26/2021] [Indexed: 01/19/2023] Open
Abstract
Only a few studies have evaluated the brain functional changes associated with disease-modifying therapies (DMTs) in multiple sclerosis (MS), though none used a composite measure of clinical and MRI outcomes to evaluate DMT-related brain functional connectivity (FC) measures predictive of short-term outcome. Therefore, we investigated the following: (1) baseline FC differences between patients who showed evidence of disease activity after a specific DMT and those who did not; (2) DMT-related effects on FC, and; (3) possible relationships between DMT-related FC changes and changes in performance. We used a previously analyzed dataset of 30 relapsing MS patients who underwent fingolimod treatment for 6 months and applied the “no evidence of disease activity” (NEDA-3) status as a clinical response indicator of treatment efficacy. Resting-state fMRI data were analyzed to obtain within- and between-network FC measures. After therapy, 14 patients achieved NEDA-3 status (hereinafter NEDA), while 16 did not (EDA). The two groups significantly differed at baseline, with the NEDA group having higher within-network FC in the anterior and posterior default mode, auditory, orbitofrontal, and right frontoparietal networks than the EDA. After therapy, NEDA showed significantly reduced within-network FC in the posterior default mode and left frontoparietal networks and increased between-network FC in the posterior default mode/orbitofrontal networks; they also showed PASAT improvement, which was correlated with greater within-network FC decrease in the posterior default mode network and with greater between-network FC increase. No significant longitudinal FC changes were found in the EDA. Taken together, these findings suggest that NEDA status after fingolimod is related to higher within-network FC at baseline and to a consistent functional reorganization after therapy.
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Affiliation(s)
| | | | | | | | - Costanza Giannì
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Silvia Tommasin
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Carlo Pozzilli
- Multiple Sclerosis Center, S. Andrea Hospital, Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Patrizia Pantano
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy.,Department of Radiology, IRCCS NEUROMED, Pozzilli, Italy
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65
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Chard DT, Alahmadi AAS, Audoin B, Charalambous T, Enzinger C, Hulst HE, Rocca MA, Rovira À, Sastre-Garriga J, Schoonheim MM, Tijms B, Tur C, Gandini Wheeler-Kingshott CAM, Wink AM, Ciccarelli O, Barkhof F. Mind the gap: from neurons to networks to outcomes in multiple sclerosis. Nat Rev Neurol 2021; 17:173-184. [PMID: 33437067 DOI: 10.1038/s41582-020-00439-8] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/20/2020] [Indexed: 12/21/2022]
Abstract
MRI studies have provided valuable insights into the structure and function of neural networks, particularly in health and in classical neurodegenerative conditions such as Alzheimer disease. However, such work is also highly relevant in other diseases of the CNS, including multiple sclerosis (MS). In this Review, we consider the effects of MS pathology on brain networks, as assessed using MRI, and how these changes to brain networks translate into clinical impairments. We also discuss how this knowledge can inform the targeting of MS treatments and the potential future directions for research in this area. Studying MS is challenging as its pathology involves neurodegenerative and focal inflammatory elements, both of which could disrupt neural networks. The disruption of white matter tracts in MS is reflected in changes in network efficiency, an increasingly random grey matter network topology, relative cortical disconnection, and both increases and decreases in connectivity centred around hubs such as the thalamus and the default mode network. The results of initial longitudinal studies suggest that these changes evolve rather than simply increase over time and are linked with clinical features. Studies have also identified a potential role for treatments that functionally modify neural networks as opposed to altering their structure.
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Affiliation(s)
- Declan T Chard
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK. .,National Institute for Health Research (NIHR) University College London Hospitals (UCLH) Biomedical Research Centre, London, UK.
| | - Adnan A S Alahmadi
- Department of Diagnostic Radiology, Faculty of Applied Medical Science, King Abdulaziz University (KAU), Jeddah, Saudi Arabia
| | - Bertrand Audoin
- Aix-Marseille University, CNRS, CRMBM, Marseille, France.,AP-HM, University Hospital Timone, Department of Neurology, Marseille, France
| | - Thalis Charalambous
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK
| | - Christian Enzinger
- Department of Neurology, Research Unit for Neuronal Repair and Plasticity, Medical University of Graz, Graz, Austria.,Department of Radiology, Division of Neuroradiology, Vascular and Interventional Radiology, Medical University of Graz, Graz, Austria
| | - Hanneke E Hulst
- Department of Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Maria A Rocca
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, San Raffaele Scientific Institute, Vita-Salute San Raffaele University, Milan, Italy
| | - Àlex Rovira
- Section of Neuroradiology, Department of Radiology Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Jaume Sastre-Garriga
- Servei de Neurologia/Neuroimmunologia, Multiple Sclerosis Centre of Catalonia (Cemcat), Hospital Universitari Vall d'Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Menno M Schoonheim
- Department of Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Betty Tijms
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Carmen Tur
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.,Department of Neurology, Luton and Dunstable University Hospital, Luton, UK
| | - Claudia A M Gandini Wheeler-Kingshott
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.,Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy.,Brain MRI 3T Research Center, IRCCS Mondino Foundation, Pavia, Italy
| | - Alle Meije Wink
- Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Olga Ciccarelli
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.,National Institute for Health Research (NIHR) University College London Hospitals (UCLH) Biomedical Research Centre, London, UK
| | - Frederik Barkhof
- National Institute for Health Research (NIHR) University College London Hospitals (UCLH) Biomedical Research Centre, London, UK.,Department of Radiology & Nuclear Medicine, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Institutes of Neurology and Healthcare Engineering, University College London, London, UK
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66
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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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67
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Dekker I, Schoonheim MM, Venkatraghavan V, Eijlers AJC, Brouwer I, Bron EE, Klein S, Wattjes MP, Wink AM, Geurts JJG, Uitdehaag BMJ, Oxtoby NP, Alexander DC, Vrenken H, Killestein J, Barkhof F, Wottschel V. The sequence of structural, functional and cognitive changes in multiple sclerosis. Neuroimage Clin 2020; 29:102550. [PMID: 33418173 PMCID: PMC7804841 DOI: 10.1016/j.nicl.2020.102550] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 12/09/2020] [Accepted: 12/20/2020] [Indexed: 12/25/2022]
Abstract
BACKGROUND As disease progression remains poorly understood in multiple sclerosis (MS), we aim to investigate the sequence in which different disease milestones occur using a novel data-driven approach. METHODS We analysed a cohort of 295 relapse-onset MS patients and 96 healthy controls, and considered 28 features, capturing information on T2-lesion load, regional brain and spinal cord volumes, resting-state functional centrality ("hubness"), microstructural tissue integrity of major white matter (WM) tracts and performance on multiple cognitive tests. We used a discriminative event-based model to estimate the sequence of biomarker abnormality in MS progression in general, as well as specific models for worsening physical disability and cognitive impairment. RESULTS We demonstrated that grey matter (GM) atrophy of the cerebellum, thalamus, and changes in corticospinal tracts are early events in MS pathology, whereas other WM tracts as well as the cognitive domains of working memory, attention, and executive function are consistently late events. The models for disability and cognition show early functional changes of the default-mode network and earlier changes in spinal cord volume compared to the general MS population. Overall, GM atrophy seems crucial due to its early involvement in the disease course, whereas WM tract integrity appears to be affected relatively late despite the early onset of WM lesions. CONCLUSION Data-driven modelling revealed the relative occurrence of both imaging and non-imaging events as MS progresses, providing insights into disease propagation mechanisms, and allowing fine-grained staging of patients for monitoring purposes.
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Affiliation(s)
- Iris Dekker
- Amsterdam UMC, Location VUmc, Departments of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, The Netherlands; Neurology, MS Center Amsterdam, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Menno M Schoonheim
- Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Vikram Venkatraghavan
- Biomedical Imaging Group Rotterdam, Departments of Medical Informatics and Radiology & Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Anand J C Eijlers
- Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Iman Brouwer
- Amsterdam UMC, Location VUmc, Departments of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Esther E Bron
- Biomedical Imaging Group Rotterdam, Departments of Medical Informatics and Radiology & Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Stefan Klein
- Biomedical Imaging Group Rotterdam, Departments of Medical Informatics and Radiology & Nuclear Medicine, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Mike P Wattjes
- Dept. of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Hannover, Germany
| | - Alle Meije Wink
- Amsterdam UMC, Location VUmc, Departments of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Jeroen J G Geurts
- Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Bernard M J Uitdehaag
- Neurology, MS Center Amsterdam, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Neil P Oxtoby
- Centre for Medical Image Computing, Department of Computer Science, UCL, London, UK
| | - Daniel C Alexander
- Centre for Medical Image Computing, Department of Computer Science, UCL, London, UK
| | - Hugo Vrenken
- Amsterdam UMC, Location VUmc, Departments of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Joep Killestein
- Neurology, MS Center Amsterdam, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, The Netherlands
| | - Frederik Barkhof
- Amsterdam UMC, Location VUmc, Departments of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, The Netherlands; Centre for Medical Image Computing, Department of Computer Science, UCL, London, UK; Institute of Neurology, UCL, London, UK
| | - Viktor Wottschel
- Amsterdam UMC, Location VUmc, Departments of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, De Boelelaan 1117, Amsterdam, The Netherlands.
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68
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Koubiyr I, Deloire M, Brochet B, Besson P, Charré-Morin J, Saubusse A, Tourdias T, Ruet A. Structural constraints of functional connectivity drive cognitive impairment in the early stages of multiple sclerosis. Mult Scler 2020; 27:559-567. [PMID: 33283582 DOI: 10.1177/1352458520971807] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND The relationship between structural and functional deficits in multiple sclerosis (MS) is unclear. OBJECTIVE This study explored structure-function relationships during the 5 years following a clinically isolated syndrome and their role in cognitive performance. METHODS Thirty-two patients were enrolled after their first neurological episode suggestive of MS and followed for 5 years, along with 10 matched healthy controls. We assessed structural (using diffusion tensor imaging) and functional (using resting-state functional magnetic resonance imaging (fMRI)) brain network metrics, clinical and cognitive scores at each follow-up visit. Structural-functional coupling, calculated as the correlation coefficient between strengths of structural and functional networks, was used to assess structure-function relationships. RESULTS Structural clustering coefficient was significantly increased after 5 years, whereas characteristic path length decreased. Structural connections decreased after 1 year and increased after 5 years. Functional connections and related path lengths were decreased after 5 years. Structural-functional coupling had increased significantly after 5 years. This structural-functional coupling was associated with cognitive and clinical evolution, with stronger coupling associated with a decline in both domains. CONCLUSION Our findings provide novel biological evidence that MS leads to a more constrained anatomical-dependant functional connectivity. The collapse of this network seems to lead to both cognitive worsening and clinical disability.
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Affiliation(s)
- Ismail Koubiyr
- University of Bordeaux, Bordeaux, France; Inserm U1215 - Neurocentre Magendie, Bordeaux, France
| | | | - Bruno Brochet
- University of Bordeaux, Bordeaux, France; Inserm U1215 - Neurocentre Magendie, Bordeaux, France; CHU Pellegrin Bordeaux, Bordeaux, France
| | - Pierre Besson
- Department of Radiology, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA; Department of Neurological Surgery, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA
| | | | | | - Thomas Tourdias
- University of Bordeaux, Bordeaux, France; Inserm U1215 - Neurocentre Magendie, Bordeaux, France; CHU Pellegrin Bordeaux, Bordeaux, France
| | - Aurélie Ruet
- University of Bordeaux, Bordeaux, France; Inserm U1215 - Neurocentre Magendie, Bordeaux, France; CHU Pellegrin Bordeaux, Bordeaux, France
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69
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Sjøgård M, Wens V, Van Schependom J, Costers L, D'hooghe M, D'haeseleer M, Woolrich M, Goldman S, Nagels G, De Tiège X. Brain dysconnectivity relates to disability and cognitive impairment in multiple sclerosis. Hum Brain Mapp 2020; 42:626-643. [PMID: 33242237 PMCID: PMC7814767 DOI: 10.1002/hbm.25247] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 09/10/2020] [Accepted: 09/29/2020] [Indexed: 12/27/2022] Open
Abstract
The pathophysiology of cognitive dysfunction in multiple sclerosis (MS) is still unclear. This magnetoencephalography (MEG) study investigates the impact of MS on brain resting-state functional connectivity (rsFC) and its relationship to disability and cognitive impairment. We investigated rsFC based on power envelope correlation within and between different frequency bands, in a large cohort of participants consisting of 99 MS patients and 47 healthy subjects. Correlations were investigated between rsFC and outcomes on disability, disease duration and 7 neuropsychological scores within each group, while stringently correcting for multiple comparisons and possible confounding factors. Specific dysconnections correlating with MS-induced physical disability and disease duration were found within the sensorimotor and language networks, respectively. Global network-level reductions in within- and cross-network rsFC were observed in the default-mode network. Healthy subjects and patients significantly differed in their scores on cognitive fatigue and verbal fluency. Healthy subjects and patients showed different correlation patterns between rsFC and cognitive fatigue or verbal fluency, both of which involved a shift in patients from the posterior default-mode network to the language network. Introducing electrophysiological rsFC in a regression model of verbal fluency and cognitive fatigue in MS patients significantly increased the explained variance compared to a regression limited to structural MRI markers (relative thalamic volume and lesion load). This MEG study demonstrates that MS induces distinct changes in the resting-state functional brain architecture that relate to disability, disease duration and specific cognitive functioning alterations. It highlights the potential value of electrophysiological intrinsic rsFC for monitoring the cognitive impairment in patients with MS.
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Affiliation(s)
- Martin Sjøgård
- Laboratoire de Cartographie fonctionnelle du Cerveau, UNI-ULB Neuroscience Institute, Université libre de Bruxelles (ULB), Brussels, Belgium
| | - Vincent Wens
- Laboratoire de Cartographie fonctionnelle du Cerveau, UNI-ULB Neuroscience Institute, Université libre de Bruxelles (ULB), Brussels, Belgium.,Department of Functional Neuroimaging, Service of Nuclear Medicine, CUB-Hôpital Erasme, Université libre de Bruxelles (ULB), Brussels, Belgium
| | - Jeroen Van Schependom
- Center for Neurosciences, Vrije Universiteit Brussel, Brussels, Belgium.,National MS Center, Belgium
| | - Lars Costers
- Center for Neurosciences, Vrije Universiteit Brussel, Brussels, Belgium
| | - Marie D'hooghe
- Center for Neurosciences, Vrije Universiteit Brussel, Brussels, Belgium.,National MS Center, Belgium
| | - Miguel D'haeseleer
- Center for Neurosciences, Vrije Universiteit Brussel, Brussels, Belgium.,National MS Center, Belgium
| | - Mark Woolrich
- Oxford Centre for Human Brain Activity, Wellcome Centre for Integrative Neuroimaging, Department of Psychiatry, University of Oxford, Oxford, UK
| | - Serge Goldman
- Laboratoire de Cartographie fonctionnelle du Cerveau, UNI-ULB Neuroscience Institute, Université libre de Bruxelles (ULB), Brussels, Belgium.,Department of Functional Neuroimaging, Service of Nuclear Medicine, CUB-Hôpital Erasme, Université libre de Bruxelles (ULB), Brussels, Belgium
| | - Guy Nagels
- Center for Neurosciences, Vrije Universiteit Brussel, Brussels, Belgium.,National MS Center, Belgium.,St Edmund Hall, University of Oxford, Oxford, UK
| | - Xavier De Tiège
- Laboratoire de Cartographie fonctionnelle du Cerveau, UNI-ULB Neuroscience Institute, Université libre de Bruxelles (ULB), Brussels, Belgium.,Department of Functional Neuroimaging, Service of Nuclear Medicine, CUB-Hôpital Erasme, Université libre de Bruxelles (ULB), Brussels, Belgium
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70
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Lopez-Soley E, Solana E, Martínez-Heras E, Andorra M, Radua J, Prats-Uribe A, Montejo C, Sola-Valls N, Sepulveda M, Pulido-Valdeolivas I, Blanco Y, Martinez-Lapiscina EH, Saiz A, Llufriu S. Impact of Cognitive Reserve and Structural Connectivity on Cognitive Performance in Multiple Sclerosis. Front Neurol 2020; 11:581700. [PMID: 33193039 PMCID: PMC7662554 DOI: 10.3389/fneur.2020.581700] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Accepted: 09/30/2020] [Indexed: 01/07/2023] Open
Abstract
Background: Cognitive reserve (CR) could attenuate the impact of the brain burden on the cognition in people with multiple sclerosis (PwMS). Objective: To explore the relationship between CR and structural brain connectivity and investigate their role on cognition in PwMS cognitively impaired (PwMS-CI) and cognitively preserved (PwMS-CP). Methods: In this study, 181 PwMS (71% female; 42.9 ± 10.0 years) were evaluated using the Cognitive Reserve Questionnaire (CRQ), Brief Repeatable Battery of Neuropsychological tests, and MRI. Brain lesion and gray matter volumes were quantified, as was the structural network connectivity. Patients were classified as PwMS-CI (z scores = −1.5 SD in at least two tests) or PwMS-CP. Linear and multiple regression analyses were run to evaluate the association of CRQ and structural connectivity with cognition in each group. Hedges's effect size was used to compute the strength of associations. Results: We found a very low association between CRQ scores and connectivity metrics in PwMS-CP, while in PwMS-CI, this relation was low to moderate. The multiple regression model, adjusted for age, gender, mood, lesion volume, and graph metrics (local and global efficiency, and transitivity), indicated that the CRQ (β = 0.26, 95% CI: 0.17–0.35) was associated with cognition (adj R2 = 0.34) in PwMS-CP (55%). In PwMS-CI, CRQ (β = 0.18, 95% CI: 0.07–0.29), age, and network global efficiency were independently associated with cognition (adj R2 = 0.55). The age- and gender-adjusted association between CRQ score and global efficiency on having an impaired cognitive status was −0.338 (OR: 0.71, p = 0.036) and −0.531 (OR: 0.59, p = 0.002), respectively. Conclusions: CR seems to have a marginally significant effect on brain structural connectivity, observed in patients with more severe clinical impairment. It protects PwMS from cognitive decline regardless of their cognitive status, yet once cognitive impairment has set in, brain damage and aging are also influencing cognitive performance.
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Affiliation(s)
- Elisabet Lopez-Soley
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Center of Neuroimmunology, Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Hospital Clinic Barcelona, Universitat de Barcelona, Barcelona, Spain
| | - Elisabeth Solana
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Center of Neuroimmunology, Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Hospital Clinic Barcelona, Universitat de Barcelona, Barcelona, Spain
| | - Eloy Martínez-Heras
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Center of Neuroimmunology, Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Hospital Clinic Barcelona, Universitat de Barcelona, Barcelona, Spain
| | - Magi Andorra
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Center of Neuroimmunology, Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Hospital Clinic Barcelona, Universitat de Barcelona, Barcelona, Spain
| | - Joaquim Radua
- Imaging of Mood- and Anxiety-Related Disorders (IMARD) Group, Mental Health Research Networking Center (CIBERSAM), Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Barcelona, Spain.,Department of Psychosis Studies, King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, United Kingdom.,Department of Clinical Neuroscience, Centre for Psychiatric Research and Education, Karolinska Institutet, Solna, Sweden
| | - Albert Prats-Uribe
- Centre for Statistics in Medicine, Botnar Research Centre, Nuffiel Department of Orthopeadics, rheumatology and musculoskeletal sciences (NDORMS), University of Oxford, Oxford, United Kingdom
| | - Carmen Montejo
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Center of Neuroimmunology, Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Hospital Clinic Barcelona, Universitat de Barcelona, Barcelona, Spain
| | - Nuria Sola-Valls
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Center of Neuroimmunology, Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Hospital Clinic Barcelona, Universitat de Barcelona, Barcelona, Spain
| | - Maria Sepulveda
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Center of Neuroimmunology, Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Hospital Clinic Barcelona, Universitat de Barcelona, Barcelona, Spain
| | - Irene Pulido-Valdeolivas
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Center of Neuroimmunology, Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Hospital Clinic Barcelona, Universitat de Barcelona, Barcelona, Spain
| | - Yolanda Blanco
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Center of Neuroimmunology, Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Hospital Clinic Barcelona, Universitat de Barcelona, Barcelona, Spain
| | - Elena H Martinez-Lapiscina
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Center of Neuroimmunology, Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Hospital Clinic Barcelona, Universitat de Barcelona, Barcelona, Spain
| | - Albert Saiz
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Center of Neuroimmunology, Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Hospital Clinic Barcelona, Universitat de Barcelona, Barcelona, Spain
| | - Sara Llufriu
- Laboratory of Advanced Imaging in Neuroimmunological Diseases, Center of Neuroimmunology, Institut d'Investigacions Biomediques August Pi i Sunyer (IDIBAPS), Hospital Clinic Barcelona, Universitat de Barcelona, Barcelona, Spain
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Welton T, Constantinescu CS, Auer DP, Dineen RA. Graph Theoretic Analysis of Brain Connectomics in Multiple Sclerosis: Reliability and Relationship with Cognition. Brain Connect 2020; 10:95-104. [PMID: 32079409 PMCID: PMC7196369 DOI: 10.1089/brain.2019.0717] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Research suggests that disruption of brain networks might explain cognitive deficits in multiple sclerosis (MS). The reliability and effectiveness of graph theoretic network metrics as measures of cognitive performance were tested in 37 people with MS and 23 controls. Specifically, relationships with cognitive performance (linear regression against the paced auditory serial addition test-3 seconds [PASAT-3], symbol digit modalities test [SDMT], and attention network test) and 1-month reliability (using the intraclass correlation coefficient [ICC]) of network metrics were measured using both resting-state functional and diffusion magnetic resonance imaging data. Cognitive impairment was directly related to measures of brain network segregation and inversely related to network integration (prediction of PASAT-3 by small worldness, modularity, characteristic path length, R2 = 0.55; prediction of SDMT by small worldness, global efficiency, and characteristic path length, R2 = 0.60). Reliability of the measures for 1 month in a subset of nine participants was mostly rated as good (ICC >0.6) for both controls and MS patients in both functional and diffusion data, but was highly dependent on the chosen parcellation and graph density, with the 0.2–0.5 density range being the most reliable. This suggests that disrupted network organization predicts cognitive impairment in MS and its measurement is reliable for a 1-month period. These new findings support the hypothesis of network disruption as a major determinant of cognitive deficits in MS and the future possibility of the application of derived metrics as surrogate outcomes in trials of therapies for cognitive impairment.
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Affiliation(s)
- Thomas Welton
- Radiological Sciences, Division of Clinical Neuroscience, University of Nottingham, Nottingham, United Kingdom.,Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom.,Sydney Translational Imaging Laboratory, Heart Research Institute, University of Sydney, Camperdown, Australia
| | - Cris S Constantinescu
- Clinical Neurology, Division of Clinical Neuroscience, University of Nottingham, Nottingham, United Kingdom
| | - Dorothee P Auer
- Radiological Sciences, Division of Clinical Neuroscience, University of Nottingham, Nottingham, United Kingdom.,Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom.,NIHR Nottingham Biomedical Research Centre, Nottingham, United Kingdom
| | - Rob A Dineen
- Radiological Sciences, Division of Clinical Neuroscience, University of Nottingham, Nottingham, United Kingdom.,Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, United Kingdom.,NIHR Nottingham Biomedical Research Centre, Nottingham, United Kingdom
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Aktas O, Renner A, Huss A, Filser M, Baetge S, Stute N, Gasis M, Lepka K, Goebels N, Senel M, Graf J, Enzinger C, Pinter D, Antoch G, Turowski B, Hartung HP, Albrecht P, Otto M, Tumani H, Penner IK. Serum neurofilament light chain: No clear relation to cognition and neuropsychiatric symptoms in stable MS. NEUROLOGY-NEUROIMMUNOLOGY & NEUROINFLAMMATION 2020; 7:7/6/e885. [PMID: 32972970 PMCID: PMC7673283 DOI: 10.1212/nxi.0000000000000885] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Accepted: 08/10/2020] [Indexed: 12/31/2022]
Abstract
OBJECTIVE To explore the hypothesis that serum neurofilament light chain (sNfL) indicative of neuroaxonal damage may improve precise disease profiling with regard to cognition and neuropsychiatric symptoms, we analyzed potential associations of sNfL levels with cognitive test scores, fatigue, depression, and anxiety. METHODS Patients with relapsing-remitting and secondary progressive MS (SPMS) underwent an elaborated assessment including MRI, various cognitive tests, and patient-reported outcomes. We determined sNfL levels by single molecule array (Simoa) assay. Relationships between sNfL, cognition, neuropsychiatric symptoms, and demographical data were analyzed using correlations, group comparisons, and regressions. RESULTS In 45 clinically stable patients with MS (Expanded Disability Status Scale = 2.73 ± 1.12, disease duration = 10.03 ± 7.49 years), 40.0% were cognitively impaired. Mean sNfL levels were 16.02 ± 10.39 pg/mL, with higher levels in the SPMS subgroup (p = 0.038). sNfL levels did reliably link neither with the investigated cognitive and affective parameters nor with fatigue levels. The only relationship found in a small subgroup of patients with SPMS (n = 7) with visuospatial learning (r = -0.950, p = 0.001) and memory (r = -0.813; p = 0.026) disappeared when further controlling for age, educational level, and sex. CONCLUSIONS In patients with stable MS at less advanced disease stages, sNfL did not convincingly relate to cognitive performance, fatigue, depression, or anxiety and thus may not serve as a surrogate biomarker for neuropsychological status in such populations.
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Affiliation(s)
- Orhan Aktas
- From the Department of Neurology (O.A., M.G., K.L., N.G., J.G., H.-P.H., P.A., I.-K.P.), Medical Faculty, University Düsseldorf, Germany; Cogito Center for Applied Neurocognition and Neuropsychological Research (A.R., M.F., S.B., N.S., I.-K.P.), Düsseldorf, Germany; Department of Neurology (A.H., M.S., M.O., H.T.), University Hospital Ulm, Germany; Department of Neurology (C.E., D.P.), Research Unit for Neuronal Plasticity and Repair, Medical University of Graz, Austria; Division of Neuroradiology, Vascular and Interventional Radiology (C.E.), Department of Radiology, Medical University of Graz, Austria; Department of Diagnostic and Interventional Radiology (G.A., B.T.), Medical Faculty, University Düsseldorf, Germany; and Department of Neurology (H.T.), Dietenbronn, Germany
| | - Alina Renner
- From the Department of Neurology (O.A., M.G., K.L., N.G., J.G., H.-P.H., P.A., I.-K.P.), Medical Faculty, University Düsseldorf, Germany; Cogito Center for Applied Neurocognition and Neuropsychological Research (A.R., M.F., S.B., N.S., I.-K.P.), Düsseldorf, Germany; Department of Neurology (A.H., M.S., M.O., H.T.), University Hospital Ulm, Germany; Department of Neurology (C.E., D.P.), Research Unit for Neuronal Plasticity and Repair, Medical University of Graz, Austria; Division of Neuroradiology, Vascular and Interventional Radiology (C.E.), Department of Radiology, Medical University of Graz, Austria; Department of Diagnostic and Interventional Radiology (G.A., B.T.), Medical Faculty, University Düsseldorf, Germany; and Department of Neurology (H.T.), Dietenbronn, Germany
| | - André Huss
- From the Department of Neurology (O.A., M.G., K.L., N.G., J.G., H.-P.H., P.A., I.-K.P.), Medical Faculty, University Düsseldorf, Germany; Cogito Center for Applied Neurocognition and Neuropsychological Research (A.R., M.F., S.B., N.S., I.-K.P.), Düsseldorf, Germany; Department of Neurology (A.H., M.S., M.O., H.T.), University Hospital Ulm, Germany; Department of Neurology (C.E., D.P.), Research Unit for Neuronal Plasticity and Repair, Medical University of Graz, Austria; Division of Neuroradiology, Vascular and Interventional Radiology (C.E.), Department of Radiology, Medical University of Graz, Austria; Department of Diagnostic and Interventional Radiology (G.A., B.T.), Medical Faculty, University Düsseldorf, Germany; and Department of Neurology (H.T.), Dietenbronn, Germany
| | - Melanie Filser
- From the Department of Neurology (O.A., M.G., K.L., N.G., J.G., H.-P.H., P.A., I.-K.P.), Medical Faculty, University Düsseldorf, Germany; Cogito Center for Applied Neurocognition and Neuropsychological Research (A.R., M.F., S.B., N.S., I.-K.P.), Düsseldorf, Germany; Department of Neurology (A.H., M.S., M.O., H.T.), University Hospital Ulm, Germany; Department of Neurology (C.E., D.P.), Research Unit for Neuronal Plasticity and Repair, Medical University of Graz, Austria; Division of Neuroradiology, Vascular and Interventional Radiology (C.E.), Department of Radiology, Medical University of Graz, Austria; Department of Diagnostic and Interventional Radiology (G.A., B.T.), Medical Faculty, University Düsseldorf, Germany; and Department of Neurology (H.T.), Dietenbronn, Germany
| | - Sharon Baetge
- From the Department of Neurology (O.A., M.G., K.L., N.G., J.G., H.-P.H., P.A., I.-K.P.), Medical Faculty, University Düsseldorf, Germany; Cogito Center for Applied Neurocognition and Neuropsychological Research (A.R., M.F., S.B., N.S., I.-K.P.), Düsseldorf, Germany; Department of Neurology (A.H., M.S., M.O., H.T.), University Hospital Ulm, Germany; Department of Neurology (C.E., D.P.), Research Unit for Neuronal Plasticity and Repair, Medical University of Graz, Austria; Division of Neuroradiology, Vascular and Interventional Radiology (C.E.), Department of Radiology, Medical University of Graz, Austria; Department of Diagnostic and Interventional Radiology (G.A., B.T.), Medical Faculty, University Düsseldorf, Germany; and Department of Neurology (H.T.), Dietenbronn, Germany
| | - Nathalie Stute
- From the Department of Neurology (O.A., M.G., K.L., N.G., J.G., H.-P.H., P.A., I.-K.P.), Medical Faculty, University Düsseldorf, Germany; Cogito Center for Applied Neurocognition and Neuropsychological Research (A.R., M.F., S.B., N.S., I.-K.P.), Düsseldorf, Germany; Department of Neurology (A.H., M.S., M.O., H.T.), University Hospital Ulm, Germany; Department of Neurology (C.E., D.P.), Research Unit for Neuronal Plasticity and Repair, Medical University of Graz, Austria; Division of Neuroradiology, Vascular and Interventional Radiology (C.E.), Department of Radiology, Medical University of Graz, Austria; Department of Diagnostic and Interventional Radiology (G.A., B.T.), Medical Faculty, University Düsseldorf, Germany; and Department of Neurology (H.T.), Dietenbronn, Germany
| | - Marcia Gasis
- From the Department of Neurology (O.A., M.G., K.L., N.G., J.G., H.-P.H., P.A., I.-K.P.), Medical Faculty, University Düsseldorf, Germany; Cogito Center for Applied Neurocognition and Neuropsychological Research (A.R., M.F., S.B., N.S., I.-K.P.), Düsseldorf, Germany; Department of Neurology (A.H., M.S., M.O., H.T.), University Hospital Ulm, Germany; Department of Neurology (C.E., D.P.), Research Unit for Neuronal Plasticity and Repair, Medical University of Graz, Austria; Division of Neuroradiology, Vascular and Interventional Radiology (C.E.), Department of Radiology, Medical University of Graz, Austria; Department of Diagnostic and Interventional Radiology (G.A., B.T.), Medical Faculty, University Düsseldorf, Germany; and Department of Neurology (H.T.), Dietenbronn, Germany
| | - Klaudia Lepka
- From the Department of Neurology (O.A., M.G., K.L., N.G., J.G., H.-P.H., P.A., I.-K.P.), Medical Faculty, University Düsseldorf, Germany; Cogito Center for Applied Neurocognition and Neuropsychological Research (A.R., M.F., S.B., N.S., I.-K.P.), Düsseldorf, Germany; Department of Neurology (A.H., M.S., M.O., H.T.), University Hospital Ulm, Germany; Department of Neurology (C.E., D.P.), Research Unit for Neuronal Plasticity and Repair, Medical University of Graz, Austria; Division of Neuroradiology, Vascular and Interventional Radiology (C.E.), Department of Radiology, Medical University of Graz, Austria; Department of Diagnostic and Interventional Radiology (G.A., B.T.), Medical Faculty, University Düsseldorf, Germany; and Department of Neurology (H.T.), Dietenbronn, Germany
| | - Norbert Goebels
- From the Department of Neurology (O.A., M.G., K.L., N.G., J.G., H.-P.H., P.A., I.-K.P.), Medical Faculty, University Düsseldorf, Germany; Cogito Center for Applied Neurocognition and Neuropsychological Research (A.R., M.F., S.B., N.S., I.-K.P.), Düsseldorf, Germany; Department of Neurology (A.H., M.S., M.O., H.T.), University Hospital Ulm, Germany; Department of Neurology (C.E., D.P.), Research Unit for Neuronal Plasticity and Repair, Medical University of Graz, Austria; Division of Neuroradiology, Vascular and Interventional Radiology (C.E.), Department of Radiology, Medical University of Graz, Austria; Department of Diagnostic and Interventional Radiology (G.A., B.T.), Medical Faculty, University Düsseldorf, Germany; and Department of Neurology (H.T.), Dietenbronn, Germany
| | - Makbule Senel
- From the Department of Neurology (O.A., M.G., K.L., N.G., J.G., H.-P.H., P.A., I.-K.P.), Medical Faculty, University Düsseldorf, Germany; Cogito Center for Applied Neurocognition and Neuropsychological Research (A.R., M.F., S.B., N.S., I.-K.P.), Düsseldorf, Germany; Department of Neurology (A.H., M.S., M.O., H.T.), University Hospital Ulm, Germany; Department of Neurology (C.E., D.P.), Research Unit for Neuronal Plasticity and Repair, Medical University of Graz, Austria; Division of Neuroradiology, Vascular and Interventional Radiology (C.E.), Department of Radiology, Medical University of Graz, Austria; Department of Diagnostic and Interventional Radiology (G.A., B.T.), Medical Faculty, University Düsseldorf, Germany; and Department of Neurology (H.T.), Dietenbronn, Germany
| | - Jonas Graf
- From the Department of Neurology (O.A., M.G., K.L., N.G., J.G., H.-P.H., P.A., I.-K.P.), Medical Faculty, University Düsseldorf, Germany; Cogito Center for Applied Neurocognition and Neuropsychological Research (A.R., M.F., S.B., N.S., I.-K.P.), Düsseldorf, Germany; Department of Neurology (A.H., M.S., M.O., H.T.), University Hospital Ulm, Germany; Department of Neurology (C.E., D.P.), Research Unit for Neuronal Plasticity and Repair, Medical University of Graz, Austria; Division of Neuroradiology, Vascular and Interventional Radiology (C.E.), Department of Radiology, Medical University of Graz, Austria; Department of Diagnostic and Interventional Radiology (G.A., B.T.), Medical Faculty, University Düsseldorf, Germany; and Department of Neurology (H.T.), Dietenbronn, Germany
| | - Christian Enzinger
- From the Department of Neurology (O.A., M.G., K.L., N.G., J.G., H.-P.H., P.A., I.-K.P.), Medical Faculty, University Düsseldorf, Germany; Cogito Center for Applied Neurocognition and Neuropsychological Research (A.R., M.F., S.B., N.S., I.-K.P.), Düsseldorf, Germany; Department of Neurology (A.H., M.S., M.O., H.T.), University Hospital Ulm, Germany; Department of Neurology (C.E., D.P.), Research Unit for Neuronal Plasticity and Repair, Medical University of Graz, Austria; Division of Neuroradiology, Vascular and Interventional Radiology (C.E.), Department of Radiology, Medical University of Graz, Austria; Department of Diagnostic and Interventional Radiology (G.A., B.T.), Medical Faculty, University Düsseldorf, Germany; and Department of Neurology (H.T.), Dietenbronn, Germany
| | - Daniela Pinter
- From the Department of Neurology (O.A., M.G., K.L., N.G., J.G., H.-P.H., P.A., I.-K.P.), Medical Faculty, University Düsseldorf, Germany; Cogito Center for Applied Neurocognition and Neuropsychological Research (A.R., M.F., S.B., N.S., I.-K.P.), Düsseldorf, Germany; Department of Neurology (A.H., M.S., M.O., H.T.), University Hospital Ulm, Germany; Department of Neurology (C.E., D.P.), Research Unit for Neuronal Plasticity and Repair, Medical University of Graz, Austria; Division of Neuroradiology, Vascular and Interventional Radiology (C.E.), Department of Radiology, Medical University of Graz, Austria; Department of Diagnostic and Interventional Radiology (G.A., B.T.), Medical Faculty, University Düsseldorf, Germany; and Department of Neurology (H.T.), Dietenbronn, Germany
| | - Gerald Antoch
- From the Department of Neurology (O.A., M.G., K.L., N.G., J.G., H.-P.H., P.A., I.-K.P.), Medical Faculty, University Düsseldorf, Germany; Cogito Center for Applied Neurocognition and Neuropsychological Research (A.R., M.F., S.B., N.S., I.-K.P.), Düsseldorf, Germany; Department of Neurology (A.H., M.S., M.O., H.T.), University Hospital Ulm, Germany; Department of Neurology (C.E., D.P.), Research Unit for Neuronal Plasticity and Repair, Medical University of Graz, Austria; Division of Neuroradiology, Vascular and Interventional Radiology (C.E.), Department of Radiology, Medical University of Graz, Austria; Department of Diagnostic and Interventional Radiology (G.A., B.T.), Medical Faculty, University Düsseldorf, Germany; and Department of Neurology (H.T.), Dietenbronn, Germany
| | - Bernd Turowski
- From the Department of Neurology (O.A., M.G., K.L., N.G., J.G., H.-P.H., P.A., I.-K.P.), Medical Faculty, University Düsseldorf, Germany; Cogito Center for Applied Neurocognition and Neuropsychological Research (A.R., M.F., S.B., N.S., I.-K.P.), Düsseldorf, Germany; Department of Neurology (A.H., M.S., M.O., H.T.), University Hospital Ulm, Germany; Department of Neurology (C.E., D.P.), Research Unit for Neuronal Plasticity and Repair, Medical University of Graz, Austria; Division of Neuroradiology, Vascular and Interventional Radiology (C.E.), Department of Radiology, Medical University of Graz, Austria; Department of Diagnostic and Interventional Radiology (G.A., B.T.), Medical Faculty, University Düsseldorf, Germany; and Department of Neurology (H.T.), Dietenbronn, Germany
| | - Hans-Peter Hartung
- From the Department of Neurology (O.A., M.G., K.L., N.G., J.G., H.-P.H., P.A., I.-K.P.), Medical Faculty, University Düsseldorf, Germany; Cogito Center for Applied Neurocognition and Neuropsychological Research (A.R., M.F., S.B., N.S., I.-K.P.), Düsseldorf, Germany; Department of Neurology (A.H., M.S., M.O., H.T.), University Hospital Ulm, Germany; Department of Neurology (C.E., D.P.), Research Unit for Neuronal Plasticity and Repair, Medical University of Graz, Austria; Division of Neuroradiology, Vascular and Interventional Radiology (C.E.), Department of Radiology, Medical University of Graz, Austria; Department of Diagnostic and Interventional Radiology (G.A., B.T.), Medical Faculty, University Düsseldorf, Germany; and Department of Neurology (H.T.), Dietenbronn, Germany
| | - Philipp Albrecht
- From the Department of Neurology (O.A., M.G., K.L., N.G., J.G., H.-P.H., P.A., I.-K.P.), Medical Faculty, University Düsseldorf, Germany; Cogito Center for Applied Neurocognition and Neuropsychological Research (A.R., M.F., S.B., N.S., I.-K.P.), Düsseldorf, Germany; Department of Neurology (A.H., M.S., M.O., H.T.), University Hospital Ulm, Germany; Department of Neurology (C.E., D.P.), Research Unit for Neuronal Plasticity and Repair, Medical University of Graz, Austria; Division of Neuroradiology, Vascular and Interventional Radiology (C.E.), Department of Radiology, Medical University of Graz, Austria; Department of Diagnostic and Interventional Radiology (G.A., B.T.), Medical Faculty, University Düsseldorf, Germany; and Department of Neurology (H.T.), Dietenbronn, Germany
| | - Markus Otto
- From the Department of Neurology (O.A., M.G., K.L., N.G., J.G., H.-P.H., P.A., I.-K.P.), Medical Faculty, University Düsseldorf, Germany; Cogito Center for Applied Neurocognition and Neuropsychological Research (A.R., M.F., S.B., N.S., I.-K.P.), Düsseldorf, Germany; Department of Neurology (A.H., M.S., M.O., H.T.), University Hospital Ulm, Germany; Department of Neurology (C.E., D.P.), Research Unit for Neuronal Plasticity and Repair, Medical University of Graz, Austria; Division of Neuroradiology, Vascular and Interventional Radiology (C.E.), Department of Radiology, Medical University of Graz, Austria; Department of Diagnostic and Interventional Radiology (G.A., B.T.), Medical Faculty, University Düsseldorf, Germany; and Department of Neurology (H.T.), Dietenbronn, Germany
| | - Hayrettin Tumani
- From the Department of Neurology (O.A., M.G., K.L., N.G., J.G., H.-P.H., P.A., I.-K.P.), Medical Faculty, University Düsseldorf, Germany; Cogito Center for Applied Neurocognition and Neuropsychological Research (A.R., M.F., S.B., N.S., I.-K.P.), Düsseldorf, Germany; Department of Neurology (A.H., M.S., M.O., H.T.), University Hospital Ulm, Germany; Department of Neurology (C.E., D.P.), Research Unit for Neuronal Plasticity and Repair, Medical University of Graz, Austria; Division of Neuroradiology, Vascular and Interventional Radiology (C.E.), Department of Radiology, Medical University of Graz, Austria; Department of Diagnostic and Interventional Radiology (G.A., B.T.), Medical Faculty, University Düsseldorf, Germany; and Department of Neurology (H.T.), Dietenbronn, Germany
| | - Iris-Katharina Penner
- From the Department of Neurology (O.A., M.G., K.L., N.G., J.G., H.-P.H., P.A., I.-K.P.), Medical Faculty, University Düsseldorf, Germany; Cogito Center for Applied Neurocognition and Neuropsychological Research (A.R., M.F., S.B., N.S., I.-K.P.), Düsseldorf, Germany; Department of Neurology (A.H., M.S., M.O., H.T.), University Hospital Ulm, Germany; Department of Neurology (C.E., D.P.), Research Unit for Neuronal Plasticity and Repair, Medical University of Graz, Austria; Division of Neuroradiology, Vascular and Interventional Radiology (C.E.), Department of Radiology, Medical University of Graz, Austria; Department of Diagnostic and Interventional Radiology (G.A., B.T.), Medical Faculty, University Düsseldorf, Germany; and Department of Neurology (H.T.), Dietenbronn, Germany.
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Wu L, Huang M, Zhou F, Zeng X, Gong H. Distributed causality in resting-state network connectivity in the acute and remitting phases of RRMS. BMC Neurosci 2020; 21:37. [PMID: 32933478 PMCID: PMC7493168 DOI: 10.1186/s12868-020-00590-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Accepted: 09/09/2020] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Although previous studies have shown that intra-network abnormalities in brain functional networks are correlated with clinical/cognitive impairment in multiple sclerosis (MS), there is little information regarding the pattern of causal interactions among cognition-related resting-state networks (RSNs) in different disease stages of relapsing-remitting MS (RRMS) patients. We hypothesized that abnormalities of causal interactions among RSNs occurred in RRMS patients in the acute and remitting phases. METHODS Seventeen patients in the acute phases of RRMS, 24 patients in the remitting phases of RRMS, and 23 appropriately matched healthy controls participated in this study. First, we used group independent component analysis to extract the time courses of the spatially independent components from all the subjects. Then, the Granger causality analysis was used to investigate the causal relationships among RSNs in the spectral domain and to identify correlations with clinical indices. RESULTS Compared with the patients in the acute phase of RRMS, patients in the remitting phase of RRMS showed a significantly lower expanded disability status scale, modified fatigue impact scale scores, and significantly higher paced auditory serial addition test (PASAT) scores. Compared with healthy subjects, during the acute phase, RRMS patients had significantly increased driving connectivity from the right executive control network (rECN) to the anterior salience network (aSN), and the causal coefficient was negatively correlated with the PASAT score. During the remitting phase, RRMS patients had significantly increased driving connectivity from the rECN to the aSN and from the rECN to the visuospatial network. CONCLUSIONS Together with the disease duration (mean disease duration < 5 years) and relatively better clinical scores than those in the acute phase, abnormal connections, such as the information flow from the rECN to the aSN and the rECN to the visuospatial network, might provide adaptive compensation in the remitting phase of RRMS.
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Affiliation(s)
- Lin Wu
- Department of Radiology, The First Affiliated Hospital, Nanchang University, Nanchang, Jiangxi, People's Republic of China.,Jiangxi Province Medical Imaging Research Institute, Nanchang, Jiangxi, People's Republic of China
| | - Muhua Huang
- Department of Radiology, The First Affiliated Hospital, Nanchang University, Nanchang, Jiangxi, People's Republic of China.,Jiangxi Province Medical Imaging Research Institute, Nanchang, Jiangxi, People's Republic of China
| | - Fuqing Zhou
- Department of Radiology, The First Affiliated Hospital, Nanchang University, Nanchang, Jiangxi, People's Republic of China. .,Jiangxi Province Medical Imaging Research Institute, Nanchang, Jiangxi, People's Republic of China.
| | - Xianjun Zeng
- Department of Radiology, The First Affiliated Hospital, Nanchang University, Nanchang, Jiangxi, People's Republic of China.,Jiangxi Province Medical Imaging Research Institute, Nanchang, Jiangxi, People's Republic of China
| | - Honghan Gong
- Department of Radiology, The First Affiliated Hospital, Nanchang University, Nanchang, Jiangxi, People's Republic of China.,Jiangxi Province Medical Imaging Research Institute, Nanchang, Jiangxi, People's Republic of China
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74
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Stellmann JP, Maarouf A, Schulz KH, Baquet L, Pöttgen J, Patra S, Penner IK, Gellißen S, Ketels G, Besson P, Ranjeva JP, Guye M, Nolte G, Engel AK, Audoin B, Heesen C, Gold SM. Aerobic Exercise Induces Functional and Structural Reorganization of CNS Networks in Multiple Sclerosis: A Randomized Controlled Trial. Front Hum Neurosci 2020; 14:255. [PMID: 32714172 PMCID: PMC7340166 DOI: 10.3389/fnhum.2020.00255] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Accepted: 06/09/2020] [Indexed: 12/22/2022] Open
Abstract
Objectives: Evidence from animal studies suggests that aerobic exercise may promote neuroplasticity and could, therefore, provide therapeutic benefits for neurological diseases such as multiple sclerosis (MS). However, the effects of exercise in human CNS disorders on the topology of brain networks, which might serve as an outcome at the interface between biology and clinical performance, remain poorly understood. Methods: We investigated functional and structural networks in patients with relapsing-remitting MS in a clinical trial of standardized aerobic exercise. Fifty-seven patients were randomly assigned to moderate-intensity exercise for 3 months or a non-exercise control group. We reconstructed functional networks based on resting-state functional magnetic resonance imaging (MRI) and used probabilistic tractography on diffusion-weighted imaging data for structural networks. Results: At baseline, compared to 30 healthy controls, patients exhibited decreased structural connectivity that was most pronounced in hub regions of the brain. Vice versa, functional connectivity was increased in hubs. After 3 months, we observed hub independent increased functional connectivity in the exercise group while the control group presented a loss of functional hub connectivity. On a structural level, the control group remained unchanged, while the exercise group had also increased connectivity. Increased clustering of hubs indicates a better structural integration and internal connectivity at the top of the network hierarchy. Conclusion: Increased functional connectivity of hubs contrasts a loss of structural connectivity in relapsing-remitting MS. Under an exercise condition, a further hub independent increase of functional connectivity seems to translate in higher structural connectivity of the whole brain.
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Affiliation(s)
- Jan-Patrick Stellmann
- Institut für Neuroimmunologie und Multiple Sklerose, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany.,Klinik und Poliklinik für Neurologie, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany.,APHM, Hopital de la Timone, CEMEREM, Marseille, France.,Aix Marseille Univ, CNRS, CRMBM, UMR 7339, Marseille, France
| | - Adil Maarouf
- APHM, Hopital de la Timone, CEMEREM, Marseille, France.,Aix Marseille Univ, CNRS, CRMBM, UMR 7339, Marseille, France
| | - Karl-Heinz Schulz
- Institut und Poliklinik für Medizinische Psychologie, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany.,Universitäres Kompetenzzentrum für Sport-und Bewegungsmedizin (Athleticum), Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - Lisa Baquet
- Institut für Neuroimmunologie und Multiple Sklerose, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany.,Klinik und Poliklinik für Neurologie, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - Jana Pöttgen
- Institut für Neuroimmunologie und Multiple Sklerose, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany.,Klinik und Poliklinik für Neurologie, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - Stefan Patra
- Institut und Poliklinik für Medizinische Psychologie, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany.,Universitäres Kompetenzzentrum für Sport-und Bewegungsmedizin (Athleticum), Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - Iris-Katharina Penner
- Department of Neurology, Medical Faculty, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany
| | - Susanne Gellißen
- Institut für Neuroimmunologie und Multiple Sklerose, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany.,Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg Eppendorf, Hamburg, Germany
| | - Gesche Ketels
- Department of Physiotherapy, University Medical Center Hamburg Eppendorf, Hamburg, Germany
| | - Pierre Besson
- APHM, Hopital de la Timone, CEMEREM, Marseille, France.,Aix Marseille Univ, CNRS, CRMBM, UMR 7339, Marseille, France
| | - Jean-Philippe Ranjeva
- APHM, Hopital de la Timone, CEMEREM, Marseille, France.,Aix Marseille Univ, CNRS, CRMBM, UMR 7339, Marseille, France
| | - Maxime Guye
- APHM, Hopital de la Timone, CEMEREM, Marseille, France.,Aix Marseille Univ, CNRS, CRMBM, UMR 7339, Marseille, France
| | - Guido Nolte
- Department of Neurophysiology and Pathophysiology, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - Andreas K Engel
- Department of Neurophysiology and Pathophysiology, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - Bertrand Audoin
- APHM, Hopital de la Timone, CEMEREM, Marseille, France.,Aix Marseille Univ, CNRS, CRMBM, UMR 7339, Marseille, France
| | - Christoph Heesen
- Institut für Neuroimmunologie und Multiple Sklerose, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany.,Klinik und Poliklinik für Neurologie, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - Stefan M Gold
- Institut für Neuroimmunologie und Multiple Sklerose, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany.,Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt Universität zu Berlin, and Berlin Institute of Health (BIH), Klinik für Psychiatrie und Psychotherapie, Campus Benjamin Franklin (CBF), Berlin, Germany.,Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt Universität zu Berlin, and Berlin Institute of Health (BIH), Med. Klinik m.S. Psychosomatik, Campus Benjamin Franklin (CBF), Berlin, Germany
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75
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Kuchling J, Paul F. Visualizing the Central Nervous System: Imaging Tools for Multiple Sclerosis and Neuromyelitis Optica Spectrum Disorders. Front Neurol 2020; 11:450. [PMID: 32625158 PMCID: PMC7311777 DOI: 10.3389/fneur.2020.00450] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Accepted: 04/28/2020] [Indexed: 12/12/2022] Open
Abstract
Multiple sclerosis (MS) and neuromyelitis optica spectrum disorders (NMOSD) are autoimmune central nervous system conditions with increasing incidence and prevalence. While MS is the most frequent inflammatory CNS disorder in young adults, NMOSD is a rare disease, that is pathogenetically distinct from MS, and accounts for approximately 1% of demyelinating disorders, with the relative proportion within the demyelinating CNS diseases varying widely among different races and regions. Most immunomodulatory drugs used in MS are inefficacious or even harmful in NMOSD, emphasizing the need for a timely and accurate diagnosis and distinction from MS. Despite distinct immunopathology and differences in disease course and severity there might be considerable overlap in clinical and imaging findings, posing a diagnostic challenge for managing neurologists. Differential diagnosis is facilitated by positive serology for AQP4-antibodies (AQP4-ab) in NMOSD, but might be difficult in seronegative cases. Imaging of the brain, optic nerve, retina and spinal cord is of paramount importance when managing patients with autoimmune CNS conditions. Once a diagnosis has been established, imaging techniques are often deployed at regular intervals over the disease course as surrogate measures for disease activity and progression and to surveil treatment effects. While the application of some imaging modalities for monitoring of disease course was established decades ago in MS, the situation is unclear in NMOSD where work on longitudinal imaging findings and their association with clinical disability is scant. Moreover, as long-term disability is mostly attack-related in NMOSD and does not stem from insidious progression as in MS, regular follow-up imaging might not be useful in the absence of clinical events. However, with accumulating evidence for covert tissue alteration in NMOSD and with the advent of approved immunotherapies the role of imaging in the management of NMOSD may be reconsidered. By contrast, MS management still faces the challenge of implementing imaging techniques that are capable of monitoring progressive tissue loss in clinical trials and cohort studies into treatment algorithms for individual patients. This article reviews the current status of imaging research in MS and NMOSD with an emphasis on emerging modalities that have the potential to be implemented in clinical practice.
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Affiliation(s)
- Joseph Kuchling
- Experimental and Clinical Research Center, Max Delbrück Center for Molecular Medicine, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt–Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- NeuroCure Clinical Research Center, Charité–Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt–Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Department of Neurology, Charité–Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt–Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Berlin Institute of Health, Berlin, Germany
| | - Friedemann Paul
- Experimental and Clinical Research Center, Max Delbrück Center for Molecular Medicine, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt–Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- NeuroCure Clinical Research Center, Charité–Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt–Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Department of Neurology, Charité–Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt–Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Berlin Institute of Health, Berlin, Germany
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76
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Koubiyr I, Besson P, Deloire M, Charre-Morin J, Saubusse A, Tourdias T, Brochet B, Ruet A. Dynamic modular-level alterations of structural-functional coupling in clinically isolated syndrome. Brain 2020; 142:3428-3439. [PMID: 31504228 DOI: 10.1093/brain/awz270] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Revised: 06/24/2019] [Accepted: 07/11/2019] [Indexed: 11/14/2022] Open
Abstract
Structural and functional connectivity abnormalities have been reported previously in multiple sclerosis. However, little is known about how each modality evolution relates to the other. Recent studies in other neurological disorders have suggested that structural-functional coupling may be more sensitive in detecting brain alterations than any single modality. Accordingly, this study aimed to investigate the longitudinal evolution of structural-functional coupling, both at the global and modular levels, in the first year following clinically isolated syndrome. We hypothesized that during the course of multiple sclerosis, patients exhibit a decoupling between functional and structural connectivity due to the disruptive nature of the disease. Forty-one consecutive patients with clinically isolated syndrome were prospectively enrolled in this study, along with 19 age-, sex- and educational level-matched healthy control subjects. These participants were followed for 1 year and underwent resting-state functional MRI and diffusion tensor imaging at each time point, along with an extensive neuropsychological assessment. Graph theory analysis revealed structural reorganization at baseline that appeared as an increase in the clustering coefficient in patients compared to controls (P < 0.05), as well as modular-specific alterations. After 1 year of follow-up, both structural and functional reorganization was depicted with abnormal modular-specific connectivity and an increase of the functional betweenness centrality in patients compared to controls (P < 0.01). More importantly, structural-functional decoupling was observed in the salience, visual and somatomotor networks. These alterations were present along with preserved cognitive performance at this stage. These results depict structural damage preceding functional reorganization at a global and modular level during the first year following clinically isolated syndrome along with normal cognitive performance, suggesting a compensation mechanism at this stage of the disease. Principally, structural-functional decoupling observed for the first time in multiple sclerosis suggests that functional reorganization occurs along indirect anatomical pathways.
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Affiliation(s)
- Ismail Koubiyr
- University of Bordeaux, F Bordeaux, France.,Inserm U1215 - Neurocentre Magendie, F Bordeaux, France
| | - Pierre Besson
- Department of Radiology, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA.,Department of Neurological Surgery, Northwestern University, Feinberg School of Medicine, Chicago, IL, USA
| | | | | | | | - Thomas Tourdias
- University of Bordeaux, F Bordeaux, France.,Inserm U1215 - Neurocentre Magendie, F Bordeaux, France.,CHU de Bordeaux, F Bordeaux, France
| | - Bruno Brochet
- University of Bordeaux, F Bordeaux, France.,Inserm U1215 - Neurocentre Magendie, F Bordeaux, France.,CHU de Bordeaux, F Bordeaux, France
| | - Aurélie Ruet
- University of Bordeaux, F Bordeaux, France.,Inserm U1215 - Neurocentre Magendie, F Bordeaux, France.,CHU de Bordeaux, F Bordeaux, France
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77
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Fuchs TA, Ziccardi S, Benedict RHB, Bartnik A, Kuceyeski A, Charvet LE, Oship D, Weinstock-Guttman B, Wojcik C, Hojnacki D, Kolb C, Escobar J, Campbell R, Tran HD, Bergsland N, Jakimovski D, Zivadinov R, Dwyer MG. Functional Connectivity and Structural Disruption in the Default-Mode Network Predicts Cognitive Rehabilitation Outcomes in Multiple Sclerosis. J Neuroimaging 2020; 30:523-530. [PMID: 32391981 DOI: 10.1111/jon.12723] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Revised: 04/16/2020] [Accepted: 04/20/2020] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND AND PURPOSE Efficacy of restorative cognitive rehabilitation can be predicted from baseline patient factors. In addition, patient profiles of functional connectivity are associated with cognitive reserve and moderate the structure-cognition relationship in people with multiple sclerosis (PwMS). Such interactions may help predict which PwMS will benefit most from cognitive rehabilitation. Our objective was to determine whether patient response to restorative cognitive rehabilitation is predictable from baseline structural network disruption and whether this relationship is moderated by functional connectivity. METHODS For this single-arm repeated measures study, we recruited 25 PwMS for a 12-week program. Following magnetic resonance imaging, participants were tested using the Symbol Digit Modalities Test (SDMT) pre- and postrehabilitation. Baseline patterns of structural and functional connectivity were characterized relative to healthy controls. RESULTS Lower white matter tract disruption in a network of region-pairs centered on the precuneus and posterior cingulate (default-mode network regions) predicted greater postrehabilitation SDMT improvement (P = .048). This relationship was moderated by profiles of functional connectivity within the network (R2 = .385, P = .017, Interaction β = -.415). CONCLUSION Patient response to restorative cognitive rehabilitation is predictable from the interaction between structural network disruption and functional connectivity in the default-mode network. This effect may be related to cognitive reserve.
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Affiliation(s)
- Tom A Fuchs
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY.,Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - Stefano Ziccardi
- Neurology Section, Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Ralph H B Benedict
- Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - Alexander Bartnik
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY.,Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - Amy Kuceyeski
- Weill Cornell Medical College, Brain and Mind Research Institute, Ithaca, NY
| | - Leigh E Charvet
- Department of Neurology, NYU School of Medicine, New York, NY
| | - Devon Oship
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - Bianca Weinstock-Guttman
- Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - Curtis Wojcik
- Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - David Hojnacki
- Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - Channa Kolb
- Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - Jose Escobar
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - Rebecca Campbell
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - Hoan Duc Tran
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | | | - Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY.,Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY.,Center for Biomedical Imaging at Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY
| | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY.,Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY.,Center for Biomedical Imaging at Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY
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78
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Engl C, Tiemann L, Grahl S, Bussas M, Schmidt P, Pongratz V, Berthele A, Beer A, Gaser C, Kirschke JS, Zimmer C, Hemmer B, Mühlau M. Cognitive impairment in early MS: contribution of white matter lesions, deep grey matter atrophy, and cortical atrophy. J Neurol 2020; 267:2307-2318. [PMID: 32328718 PMCID: PMC7359155 DOI: 10.1007/s00415-020-09841-0] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Revised: 03/27/2020] [Accepted: 04/14/2020] [Indexed: 12/02/2022]
Abstract
Background Cognitive impairment (CI) is a frequent and debilitating symptom in MS. To better understand the neural bases of CI in MS, this magnetic resonance imaging (MRI) study aimed to identify and quantify related structural brain changes and to investigate their relation to each other. Methods We studied 51 patients with CI and 391 patients with cognitive preservation (CP). We analyzed three-dimensional T1-weighted and FLAIR scans at 3 Tesla. We determined mean cortical thickness as well as volumes of cortical grey matter (GM), deep GM including thalamus, cerebellar cortex, white matter, corpus callosum, and white matter lesions (WML). We also analyzed GM across the whole brain by voxel-wise and surface-based techniques. Results Mean disease duration was 5 years. Comparing MS patients with CI and CP, we found higher volumes of WML, lower volumes of deep and cortical GM structures, and lower volumes of the corpus callosum (all corrected p values < 0.05). Effect sizes were largest for WML and thalamic volume (standardized ß values 0.25 and − 0.25). By logistic regression analysis including both WML and thalamic volume, we found a significant effect only for WML volume. Inclusion of the interaction term of WML and thalamic volume increased the model fit and revealed a highly significant interaction of WML and thalamic volume. Moreover, voxel-wise and surface-based comparisons of MS patients with CI and CP showed regional atrophy of both deep and cortical GM independent of WML volume and overall disability, but effect sizes were lower. Conclusion Although several mechanisms contribute to CI already in the early stage of MS, WML seem to be the main driver with thalamic atrophy primarily intensifying this effect.
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Affiliation(s)
- Christina Engl
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany.,TUM Neuroimaging Center, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany
| | - Laura Tiemann
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany.,TUM Neuroimaging Center, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany
| | - Sophia Grahl
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany.,TUM Neuroimaging Center, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany
| | - Matthias Bussas
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany.,TUM Neuroimaging Center, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany
| | - Paul Schmidt
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany.,TUM Neuroimaging Center, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany
| | - Viola Pongratz
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany.,TUM Neuroimaging Center, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany
| | - Achim Berthele
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany
| | - Annkathrin Beer
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany.,TUM Neuroimaging Center, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany
| | - Christian Gaser
- Department of Psychiatry and Department of Neurology, Jena University Hospital, Jena, Germany
| | - Jan S Kirschke
- Department of Neuroradiology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany
| | - Claus Zimmer
- Department of Neuroradiology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany
| | - Bernhard Hemmer
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Feodor-Lynen-Str. 17, 81377, Munich, Germany
| | - Mark Mühlau
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany. .,TUM Neuroimaging Center, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany.
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79
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Tommasin S, De Giglio L, Ruggieri S, Petsas N, Giannì C, Pozzilli C, Pantano P. Multi-scale resting state functional reorganization in response to multiple sclerosis damage. Neuroradiology 2020; 62:693-704. [PMID: 32189024 DOI: 10.1007/s00234-020-02393-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Accepted: 02/27/2020] [Indexed: 11/26/2022]
Abstract
PURPOSE In multiple sclerosis (MS), how brain functional changes relate to clinical conditions is still a matter of debate. The aim of this study was to investigate how functional connectivity (FC) reorganization at three different scales, ranging from local to whole brain, is related to tissue damage and disability. METHODS One-hundred-nineteen patients with MS were clinically evaluated with the Expanded Disability Status Scale and the Multiple Sclerosis Functional Composite. Patients and 42 healthy controls underwent a multimodal 3 T MRI, including resting-state functional MRI. RESULTS We identified 16 resting-state networks via independent component analysis and measured within-network, between-network, and whole-brain (global efficiency and degree centrality) FC. Within-network FC was higher in patients than in controls in default mode, frontoparietal, and executive-control networks, and corresponded to low clinical impairment (default mode network versus Expanded Disability Status Scale r = - 0.31, p < 0.01; right frontoparietal network versus Paced Auditory Serial Addition Test r = 0.33, p < 0.01). All measures of between-network and whole-brain FC, except default mode network global efficiency, were lower in patients than in controls, and corresponded to high disability (i.e., basal ganglia global efficiency versus Timed 25-Foot Walk r = - 0.25, p < 0.03; default mode global efficiency versus Expanded Disability Status Scale r = - 0.44, p < 0.001). Altered measures of within-network, between-network, and whole-brain FC were combined in functional indices that were linearly related to disease duration, Paced Auditory Serial Addition Test and lesion load and non-linearly related to Expanded Disability Status Scale. CONCLUSION We suggest that the combined evaluation of functional alterations occurring at different levels, from local to whole brain, could exhaustively describe neuroplastic changes in MS, while increased within-network FC likely represents adaptive compensatory processes, decreased between-network and whole-brain FC likely represent loss of functional network integration consequent to structural disruption.
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Affiliation(s)
- Silvia Tommasin
- Department of Human Neuroscience, Sapienza - University of Rome, Viale dell'Università 30, 00185, Rome, Italy
| | - Laura De Giglio
- Medicine Department, Neurology Unit, San Filippo Neri Hospital, Via Giovanni Martinotti, 20, 00135, Rome, RM, Italy
| | - Serena Ruggieri
- Department of Human Neuroscience, Sapienza - University of Rome, Viale dell'Università 30, 00185, Rome, Italy
| | - Nikolaos Petsas
- IRCCS Neuromed, (Pozzilli [IS], IT) Via Atinense, 18, 86077, Pozzilli, IS, Italy
| | - Costanza Giannì
- Department of Human Neuroscience, Sapienza - University of Rome, Viale dell'Università 30, 00185, Rome, Italy
| | - Carlo Pozzilli
- Department of Human Neuroscience, Sapienza - University of Rome, Viale dell'Università 30, 00185, Rome, Italy
- Sant'Andrea Hospital, MS Centre, Sapienza - University of Rome, Viale di Grottarossa 1035, 00189, Rome, Italy
| | - Patrizia Pantano
- Department of Human Neuroscience, Sapienza - University of Rome, Viale dell'Università 30, 00185, Rome, Italy.
- IRCCS Neuromed, (Pozzilli [IS], IT) Via Atinense, 18, 86077, Pozzilli, IS, Italy.
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Nasios G, Bakirtzis C, Messinis L. Cognitive Impairment and Brain Reorganization in MS: Underlying Mechanisms and the Role of Neurorehabilitation. Front Neurol 2020; 11:147. [PMID: 32210905 PMCID: PMC7068711 DOI: 10.3389/fneur.2020.00147] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Accepted: 02/14/2020] [Indexed: 12/29/2022] Open
Abstract
Multiple sclerosis (MS) is a chronic, immune-mediated, inflammatory, and degenerative disease of the central nervous system (CNS) that affects both white and gray matter. Various mechanisms throughout its course, mainly regarding gray matter lesions and brain atrophy, result in cognitive network dysfunction and can cause clinically significant cognitive impairment in roughly half the persons living with MS. Altered cognition is responsible for many negative aspects of patients' lives, independently of physical disability, such as higher unemployment and divorce rates, reduced social activities, and an overall decrease in quality of life. Despite its devastating impact it is not included in clinical ratings and decision making in the way it should be. It is interesting that only half the persons with MS exhibit cognitive dysfunction, as this implies that the other half remain cognitively intact. It appears that a dynamic balance between brain destruction and brain reorganization is taking place. This balance acts in favor of keeping brain systems functioning effectively, but this is not so in all cases, and the effect does not last forever. When these systems collapse, functional brain reorganization is not effective anymore, and clinically apparent impairments are evident. It is therefore important to reveal which factors could make provision for the subpopulation of patients in whom cognitive impairment occurs. Even if we manage to detect this subpopulation earlier, effective pharmaceutical treatments will still be lacking. Nevertheless, recent evidence shows that cognitive rehabilitation and neuromodulation, using non-invasive techniques such as transcranial magnetic or direct current stimulation, could be effective in cognitively impaired patients with MS. In this Mini Review, we discuss the mechanisms underlying cognitive impairment in MS. We also focus on mechanisms of reorganization of cognitive networks, which occur throughout the disease course. Finally, we review theoretical and practical issues of neurorehabilitation and neuromodulation for cognition in MS as well as factors that influence them and prevent them from being widely applied in clinical settings.
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Affiliation(s)
- Grigorios Nasios
- Department of Speech and Language Therapy, School of Health Sciences, University of Ioannina, Ioannina, Greece
| | - Christos Bakirtzis
- Department of Neurology, The Multiple Sclerosis Center, AHEPA University Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Lambros Messinis
- Neuropsychology Section, Departments of Neurology and Psychiatry, University of Patras Medical School, Patras, Greece
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Backner Y, Ben-Shalom I, Kuchling J, Siebert N, Scheel M, Ruprecht K, Brandt A, Paul F, Levin N. Cortical topological network changes following optic neuritis. NEUROLOGY-NEUROIMMUNOLOGY & NEUROINFLAMMATION 2020; 7:7/3/e687. [PMID: 32123044 PMCID: PMC7136064 DOI: 10.1212/nxi.0000000000000687] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/11/2019] [Accepted: 01/10/2020] [Indexed: 12/12/2022]
Abstract
OBJECTIVE To differentiate between visual cortical network topology changes following optic neuritis (ON) stemming from different inflammatory disease types, we used mathematical graph theory-based tools to analyze functional imaging data. METHODS Sixty-two patients were recruited into this cross-sectional study, 23 of whom had neuromyelitis optica spectrum disorder (NMOSD) with ON, 18 with clinically isolated syndrome (CIS)-ON, and 21 with other CIS episodes. Twenty-six healthy controls (HCs) were also recruited. All participants underwent resting-state functional MRI. Visual networks were defined using 50 visual regions of interest. Analysis included graph theory metrics, including degree, density, modularity, and local and global efficiency. RESULTS Visual network density shows decreased connectivity in all patient groups compared with controls. A higher degree of connections is seen in both ON groups (CIS and NMOSD) compared with the the non-ON group. This pattern is most pronounced in dorsal-lateral regions. Information transfer efficiency and modularity were reduced in both CIS groups, but not in the NMOSD group, compared with the HC group. CONCLUSIONS Visual network density appears affected by the neurologic deficit sustained (ON), and connectivity changes are more evident in dorsal-lateral regions. Efficiency and modularity appear to be associated with the specific disease type (CIS vs NMOSD). Thus, topological cortical changes in the visual system are associated with the type of neurologic deficit within the limits set on them by the underlying pathophysiology. We suggest that cortical patterns of activity should be considered in the outcome of the patients despite the localized nature of ON.
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Affiliation(s)
- Yael Backner
- From the fMRI Unit (Y.B., I.B.-S., N.L.), Neurology Department, Hadassah-Hebrew University Medical Center, Jerusalem, Israel; Experimental and Clinical Research Center (J.K., N.S., A.B., F.P.), Max Delbrueck Center for Molecular Medicine and Charité-Universitätsmedizin Berlin, Germany; NeuroCure Clinical Research Center (J.K., N.S., M.S., A.B., F.P.), Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Department of Neurology (J.K., K.R., F.P.), Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany; Department of Neuroradiology (M.S.), Charité-Universitätsmedizin Berlin, Germany; and Department of Neurology (A.B.), University of California, Irvine
| | - Ido Ben-Shalom
- From the fMRI Unit (Y.B., I.B.-S., N.L.), Neurology Department, Hadassah-Hebrew University Medical Center, Jerusalem, Israel; Experimental and Clinical Research Center (J.K., N.S., A.B., F.P.), Max Delbrueck Center for Molecular Medicine and Charité-Universitätsmedizin Berlin, Germany; NeuroCure Clinical Research Center (J.K., N.S., M.S., A.B., F.P.), Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Department of Neurology (J.K., K.R., F.P.), Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany; Department of Neuroradiology (M.S.), Charité-Universitätsmedizin Berlin, Germany; and Department of Neurology (A.B.), University of California, Irvine
| | - Joseph Kuchling
- From the fMRI Unit (Y.B., I.B.-S., N.L.), Neurology Department, Hadassah-Hebrew University Medical Center, Jerusalem, Israel; Experimental and Clinical Research Center (J.K., N.S., A.B., F.P.), Max Delbrueck Center for Molecular Medicine and Charité-Universitätsmedizin Berlin, Germany; NeuroCure Clinical Research Center (J.K., N.S., M.S., A.B., F.P.), Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Department of Neurology (J.K., K.R., F.P.), Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany; Department of Neuroradiology (M.S.), Charité-Universitätsmedizin Berlin, Germany; and Department of Neurology (A.B.), University of California, Irvine
| | - Nadja Siebert
- From the fMRI Unit (Y.B., I.B.-S., N.L.), Neurology Department, Hadassah-Hebrew University Medical Center, Jerusalem, Israel; Experimental and Clinical Research Center (J.K., N.S., A.B., F.P.), Max Delbrueck Center for Molecular Medicine and Charité-Universitätsmedizin Berlin, Germany; NeuroCure Clinical Research Center (J.K., N.S., M.S., A.B., F.P.), Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Department of Neurology (J.K., K.R., F.P.), Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany; Department of Neuroradiology (M.S.), Charité-Universitätsmedizin Berlin, Germany; and Department of Neurology (A.B.), University of California, Irvine
| | - Michael Scheel
- From the fMRI Unit (Y.B., I.B.-S., N.L.), Neurology Department, Hadassah-Hebrew University Medical Center, Jerusalem, Israel; Experimental and Clinical Research Center (J.K., N.S., A.B., F.P.), Max Delbrueck Center for Molecular Medicine and Charité-Universitätsmedizin Berlin, Germany; NeuroCure Clinical Research Center (J.K., N.S., M.S., A.B., F.P.), Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Department of Neurology (J.K., K.R., F.P.), Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany; Department of Neuroradiology (M.S.), Charité-Universitätsmedizin Berlin, Germany; and Department of Neurology (A.B.), University of California, Irvine
| | - Klemens Ruprecht
- From the fMRI Unit (Y.B., I.B.-S., N.L.), Neurology Department, Hadassah-Hebrew University Medical Center, Jerusalem, Israel; Experimental and Clinical Research Center (J.K., N.S., A.B., F.P.), Max Delbrueck Center for Molecular Medicine and Charité-Universitätsmedizin Berlin, Germany; NeuroCure Clinical Research Center (J.K., N.S., M.S., A.B., F.P.), Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Department of Neurology (J.K., K.R., F.P.), Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany; Department of Neuroradiology (M.S.), Charité-Universitätsmedizin Berlin, Germany; and Department of Neurology (A.B.), University of California, Irvine
| | - Alexander Brandt
- From the fMRI Unit (Y.B., I.B.-S., N.L.), Neurology Department, Hadassah-Hebrew University Medical Center, Jerusalem, Israel; Experimental and Clinical Research Center (J.K., N.S., A.B., F.P.), Max Delbrueck Center for Molecular Medicine and Charité-Universitätsmedizin Berlin, Germany; NeuroCure Clinical Research Center (J.K., N.S., M.S., A.B., F.P.), Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Department of Neurology (J.K., K.R., F.P.), Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany; Department of Neuroradiology (M.S.), Charité-Universitätsmedizin Berlin, Germany; and Department of Neurology (A.B.), University of California, Irvine
| | - Friedemann Paul
- From the fMRI Unit (Y.B., I.B.-S., N.L.), Neurology Department, Hadassah-Hebrew University Medical Center, Jerusalem, Israel; Experimental and Clinical Research Center (J.K., N.S., A.B., F.P.), Max Delbrueck Center for Molecular Medicine and Charité-Universitätsmedizin Berlin, Germany; NeuroCure Clinical Research Center (J.K., N.S., M.S., A.B., F.P.), Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Department of Neurology (J.K., K.R., F.P.), Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany; Department of Neuroradiology (M.S.), Charité-Universitätsmedizin Berlin, Germany; and Department of Neurology (A.B.), University of California, Irvine
| | - Netta Levin
- From the fMRI Unit (Y.B., I.B.-S., N.L.), Neurology Department, Hadassah-Hebrew University Medical Center, Jerusalem, Israel; Experimental and Clinical Research Center (J.K., N.S., A.B., F.P.), Max Delbrueck Center for Molecular Medicine and Charité-Universitätsmedizin Berlin, Germany; NeuroCure Clinical Research Center (J.K., N.S., M.S., A.B., F.P.), Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Department of Neurology (J.K., K.R., F.P.), Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Germany; Department of Neuroradiology (M.S.), Charité-Universitätsmedizin Berlin, Germany; and Department of Neurology (A.B.), University of California, Irvine.
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Renner A, Baetge SJ, Filser M, Ullrich S, Lassek C, Penner I. Characterizing cognitive deficits and potential predictors in multiple sclerosis: A large nationwide study applying Brief International Cognitive Assessment for Multiple Sclerosis in standard clinical care. J Neuropsychol 2020; 14:347-369. [DOI: 10.1111/jnp.12202] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Revised: 01/10/2020] [Indexed: 01/21/2023]
Affiliation(s)
- Alina Renner
- Cogito Center for Applied Neurocognition and Neuropsychological Research Düsseldorf Germany
| | - Sharon J. Baetge
- Cogito Center for Applied Neurocognition and Neuropsychological Research Düsseldorf Germany
| | - Melanie Filser
- Cogito Center for Applied Neurocognition and Neuropsychological Research Düsseldorf Germany
| | | | | | - Iris‐Katharina Penner
- Cogito Center for Applied Neurocognition and Neuropsychological Research Düsseldorf Germany
- Department of Neurology Medical Faculty Heinrich‐Heine University Düsseldorf Düsseldorf Germany
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83
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Zanghì A, D'Amico E, Patti F. Immunosuppression in relapsing remitting multiple sclerosis: moving towards personalized treatment. Expert Rev Neurother 2020; 20:771-782. [PMID: 31971026 DOI: 10.1080/14737175.2020.1721282] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
INTRODUCTION Therapeutic armamentarium in Multiple Sclerosis (MS) has radically changed in the last few decades due to the development of disease modifying treatments (DMTs) with highly selective mechanisms of action. AREAS COVERED In this review, the authors will focus on the current role of immunosuppressive DMTs in the management of the relapsing-remitting form of MS (RRMS), moving from the rationale of its use and looking at the possibility to design an idealistic scenario of a personalized approach for each single patient. EXPERT OPINION Questions remain open about whether initial high-efficacy immunosuppressive DMTs improve long-term outcomes, whether prolonged exposure to these agents increases adverse events and what the strongest early surrogate markers are for predicting long-term treatment responses to high-efficacy drugs. In this way, the immunosuppressive DMTs, are used to hit the immune system early and hard with the idealistic goal of striking the autoimmune activities before the neurological damage becomes irreversible.
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Affiliation(s)
- Aurora Zanghì
- Department "G.F. Ingrassia", MS Center, University of Catania , Catania, Italy
| | - Emanuele D'Amico
- Department "G.F. Ingrassia", MS Center, University of Catania , Catania, Italy
| | - Francesco Patti
- Department "G.F. Ingrassia", MS Center, University of Catania , Catania, Italy
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84
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Yan J, Wang Y, Miao H, Kwapong WR, Lu Y, Ma Q, Chen W, Tu Y, Liu X. Alterations in the Brain Structure and Functional Connectivity in Aquaporin-4 Antibody-Positive Neuromyelitis Optica Spectrum Disorder. Front Neurosci 2020; 13:1362. [PMID: 32009872 PMCID: PMC6971221 DOI: 10.3389/fnins.2019.01362] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Accepted: 12/02/2019] [Indexed: 11/13/2022] Open
Abstract
Purpose To investigate the mechanisms underlying the gray matter volume (GMV) and functional connectivity (FC) changes in aquaporin-4 antibody-positive neuromyelitis optica spectrum disorder (NMOSD) patients. Methods This cross-sectional study consisted of 21 patients with aquaporin-4 antibody-positive NMOSD and 22 age- and sex-matched healthy controls. All participants underwent cerebral magnetic resonance imaging and testing each individual’s visual acuity was done. Results Neuromyelitis optica spectrum disorder patients showed significantly reduced GMV in the left calcarine, left thalamus and right lingual gyrus of the NMOSD patients when compared to HC (P < 0.05). NMOSD patients showed significantly decreased FC values (P < 0.05) in both the left and right calcarine, right lingual gyrus and left thalamus, respectively, when compared to HC. We also observed a positive correlation between the FC values of the left thalamus, bilateral calcarine gyrus and the visual acuity, respectively (P < 0.05). Furthermore, a negative association was seen between the duration of the disease, frequency of optic neuritis, and the FC values in the lingual gyrus, bilateral calcarine gyrus, and right lingual gyrus, respectively (P < 0.05). Conclusion Reduced visual acuity and frequency of optic neuritis are associated with alterations in the GMV and FC in NMOSD. Our current study, which provides imaging evidence on the impairment involved in NMOSD, sheds light on pathophysiological responses of optic neuritis attack on the brain especially on the visual network.
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Affiliation(s)
- Jueyue Yan
- Department of Neurology, The Second Affiliated Hospital & Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China
| | - Yu Wang
- China-USA Neuroimaging Research Institute, Department of Radiology, The Second Affiliated Hospital & Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China
| | - Hanpei Miao
- School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, China
| | | | - Yi Lu
- China-USA Neuroimaging Research Institute, Department of Radiology, The Second Affiliated Hospital & Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China
| | - Qingkai Ma
- Department of Opthalmology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Wei Chen
- Department of Psychiatry, Sir Run Run Shaw Hospital, Collaborative Innovation Center for Brain Science, Zhejiang University School of Medicine, Hangzhou, China
| | - Yunhai Tu
- School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, China
| | - Xiaozheng Liu
- China-USA Neuroimaging Research Institute, Department of Radiology, The Second Affiliated Hospital & Yuying Children's Hospital, Wenzhou Medical University, Wenzhou, China
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85
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Briels C, Stam C, Scheltens P, Bruins S, Lues I, Gouw A. In pursuit of a sensitive EEG functional connectivity outcome measure for clinical trials in Alzheimer’s disease. Clin Neurophysiol 2020; 131:88-95. [DOI: 10.1016/j.clinph.2019.09.014] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2019] [Revised: 07/19/2019] [Accepted: 09/15/2019] [Indexed: 01/01/2023]
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86
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Solana E, Martinez-Heras E, Casas-Roma J, Calvet L, Lopez-Soley E, Sepulveda M, Sola-Valls N, Montejo C, Blanco Y, Pulido-Valdeolivas I, Andorra M, Saiz A, Prados F, Llufriu S. Modified connectivity of vulnerable brain nodes in multiple sclerosis, their impact on cognition and their discriminative value. Sci Rep 2019; 9:20172. [PMID: 31882922 PMCID: PMC6934774 DOI: 10.1038/s41598-019-56806-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Accepted: 11/25/2019] [Indexed: 12/30/2022] Open
Abstract
Brain structural network modifications in multiple sclerosis (MS) seem to be clinically relevant. The discriminative ability of those changes to identify MS patients or their cognitive status remains unknown. Therefore, this study aimed to investigate connectivity changes in MS patients related to their cognitive status, and to define an automatic classification method to classify subjects as patients and healthy volunteers (HV) or as cognitively preserved (CP) and impaired (CI) patients. We analysed structural brain connectivity in 45 HV and 188 MS patients (104 CP and 84 CI). A support vector machine with k-fold cross-validation was built using the graph metrics features that best differentiate the groups (p < 0.05). Local efficiency (LE) and node strength (NS) network properties showed the largest differences: 100% and 69.7% of nodes had reduced LE and NS in CP patients compared to HV. Moreover, 55.3% and 57.9% of nodes had decreased LE and NS in CI compared to CP patients, in associative multimodal areas. The classification method achieved an accuracy of 74.8–77.2% to differentiate patients from HV, and 59.9–60.8% to discriminate CI from CP patients. Structural network integrity is widely reduced and worsens as cognitive function declines. Central network properties of vulnerable nodes can be useful to classify MS patients.
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Affiliation(s)
- Elisabeth Solana
- Center of Neuroimmunology, Laboratory of Advanced Imaging in Neuroimmunological Diseases, Hospital Clinic Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS) and Universitat de Barcelona, Barcelona, Spain
| | - Eloy Martinez-Heras
- Center of Neuroimmunology, Laboratory of Advanced Imaging in Neuroimmunological Diseases, Hospital Clinic Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS) and Universitat de Barcelona, Barcelona, Spain
| | - Jordi Casas-Roma
- E-health Centre, Universitat Oberta de Catalunya, Barcelona, Spain
| | - Laura Calvet
- E-health Centre, Universitat Oberta de Catalunya, Barcelona, Spain
| | - Elisabet Lopez-Soley
- Center of Neuroimmunology, Laboratory of Advanced Imaging in Neuroimmunological Diseases, Hospital Clinic Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS) and Universitat de Barcelona, Barcelona, Spain
| | - Maria Sepulveda
- Center of Neuroimmunology, Laboratory of Advanced Imaging in Neuroimmunological Diseases, Hospital Clinic Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS) and Universitat de Barcelona, Barcelona, Spain
| | - Nuria Sola-Valls
- Center of Neuroimmunology, Laboratory of Advanced Imaging in Neuroimmunological Diseases, Hospital Clinic Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS) and Universitat de Barcelona, Barcelona, Spain
| | - Carmen Montejo
- Center of Neuroimmunology, Laboratory of Advanced Imaging in Neuroimmunological Diseases, Hospital Clinic Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS) and Universitat de Barcelona, Barcelona, Spain
| | - Yolanda Blanco
- Center of Neuroimmunology, Laboratory of Advanced Imaging in Neuroimmunological Diseases, Hospital Clinic Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS) and Universitat de Barcelona, Barcelona, Spain
| | - Irene Pulido-Valdeolivas
- Center of Neuroimmunology, Laboratory of Advanced Imaging in Neuroimmunological Diseases, Hospital Clinic Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS) and Universitat de Barcelona, Barcelona, Spain
| | - Magi Andorra
- Center of Neuroimmunology, Laboratory of Advanced Imaging in Neuroimmunological Diseases, Hospital Clinic Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS) and Universitat de Barcelona, Barcelona, Spain
| | - Albert Saiz
- Center of Neuroimmunology, Laboratory of Advanced Imaging in Neuroimmunological Diseases, Hospital Clinic Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS) and Universitat de Barcelona, Barcelona, Spain
| | - Ferran Prados
- E-health Centre, Universitat Oberta de Catalunya, Barcelona, Spain.,Centre for Medical Image Computing (CMIC), Department of Medical Physics and Bioengineering, University College London, London, UK.,NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, University College London, London, UK
| | - Sara Llufriu
- Center of Neuroimmunology, Laboratory of Advanced Imaging in Neuroimmunological Diseases, Hospital Clinic Barcelona, Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS) and Universitat de Barcelona, Barcelona, Spain.
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Sandroff BM, Diggs MD, Bamman MM, Cutter GR, Baird JF, Jones CD, Rinker JR, Wylie GR, DeLuca J, Motl RW. Protocol for a systematically-developed, phase I/II, single-blind randomized controlled trial of treadmill walking exercise training effects on cognition and brain function in persons with multiple sclerosis. Contemp Clin Trials 2019; 87:105878. [PMID: 31704437 PMCID: PMC6875638 DOI: 10.1016/j.cct.2019.105878] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2019] [Revised: 10/31/2019] [Accepted: 11/03/2019] [Indexed: 01/19/2023]
Abstract
Slowed cognitive processing speed (CPS) is a common and debilitating consequence of multiple sclerosis (MS) that is notoriously difficult to treat. As such, we undertook a systematic line of research that indicated that supervised, progressive treadmill walking exercise (TMWX) training might improve CPS and brain functioning among fully-ambulatory persons with MS. The current study will be the first adequately-powered, single-blind randomized controlled trial (RCT) that examines the efficacy of 12-weeks of TMWX training compared with an active control condition on CPS, thalamocortical brain connectivity (based on resting-state fMRI), and exploratory functional outcomes in 88 fully-ambulatory persons with MS who present with slowed CPS. The intervention condition involves supervised, progressive TMWX training 3 times/week over 12-weeks; this initially involves 15-min of light-to-moderate intensity TMWX that progresses up to 40-min of vigorous intensity TMWX. The active control condition involves supervised, minimal intensity, stretching-and-resistance exercise that will be delivered on the same frequency as the intervention condition. The primary study outcomes involve Symbol Digit Modalities Test performance (i.e., CPS) and fMRI-based measures of thalamocortical resting-state functional connectivity. Exploratory study outcomes involve measures of community participation, activities of daily living, quality of life, and functional mobility. All study outcomes will be administered before and after the 12-week study period by treatment-blinded assessors. If successful, the current study will provide the first Class I evidence for the effects of TMWX training as an approach for improving CPS and its neural correlate, and possibly mitigating the impact of slowed CPS on functional outcomes in MS.
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Affiliation(s)
- Brian M Sandroff
- Department of Physical Therapy, University of Alabama at Birmingham, Birmingham, AL, USA.
| | - M David Diggs
- Department of Physical Therapy, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Marcas M Bamman
- Departments of Cell, Developmental, & Integrative Biology, University of Alabama at Birmingham, Birmingham, AL, USA; Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Gary R Cutter
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Jessica F Baird
- Department of Physical Therapy, University of Alabama at Birmingham, Birmingham, AL, USA
| | - C Danielle Jones
- Department of Physical Therapy, University of Alabama at Birmingham, Birmingham, AL, USA
| | - John R Rinker
- Department of Neurology, University of Alabama at Birmingham, Birmingham, AL, USA
| | | | | | - Robert W Motl
- Department of Physical Therapy, University of Alabama at Birmingham, Birmingham, AL, USA
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Pinter D, Beckmann CF, Fazekas F, Khalil M, Pichler A, Gattringer T, Ropele S, Fuchs S, Enzinger C. Morphological MRI phenotypes of multiple sclerosis differ in resting-state brain function. Sci Rep 2019; 9:16221. [PMID: 31700126 PMCID: PMC6838050 DOI: 10.1038/s41598-019-52757-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2019] [Accepted: 09/29/2019] [Indexed: 11/09/2022] Open
Abstract
We aimed to assess differences in resting-state functional connectivity (FC) between distinct morphological MRI-phenotypes in multiple sclerosis (MS). Out of 180 MS patients, we identified those with high T2-hyperintense lesion load (T2-LL) and high normalized brain volume (NBV; a predominately white matter damage group, WMD; N = 37) and patients with low T2-LL and low NBV (N = 37; a predominately grey matter damage group; GMD). Independent component analysis of resting-state fMRI was used to test for differences in the sensorimotor network (SMN) between MS MRI-phenotypes and compared to 37 age-matched healthy controls (HC). The two MS groups did not differ regarding EDSS scores, disease duration and distribution of clinical phenotypes. WMD compared to GMD patients showed increased FC in all sub-units of the SMN (sex- and age-corrected). WMD patients had increased FC compared to HC and GMD patients in the central SMN (leg area). Only in the WMD group, higher EDSS scores and T2-LL correlated with decreased connectivity in SMN sub-units. MS patients with distinct morphological MRI-phenotypes also differ in brain function. The amount of focal white matter pathology but not global brain atrophy affects connectivity in the central SMN (leg area) of the SMN, consistent with the notion of a disconnection syndrome.
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Affiliation(s)
- Daniela Pinter
- Department of Neurology, Medical University of Graz, Auenbruggerplatz 22, Graz, Austria
- Research Unit for Neuronal Plasticity and Repair, Medical University of Graz, Auenbruggerplatz 22, Graz, Austria
| | - Christian F Beckmann
- Donders Institute, Cognitive Neuroscience Department and Centre for Cognitive Neuroimaging, Radboud University Nijmegen, Kapittelweg 29, Nijmegen, The Netherlands
| | - Franz Fazekas
- Department of Neurology, Medical University of Graz, Auenbruggerplatz 22, Graz, Austria
| | - Michael Khalil
- Department of Neurology, Medical University of Graz, Auenbruggerplatz 22, Graz, Austria
| | - Alexander Pichler
- Department of Neurology, Medical University of Graz, Auenbruggerplatz 22, Graz, Austria
| | - Thomas Gattringer
- Department of Neurology, Medical University of Graz, Auenbruggerplatz 22, Graz, Austria
| | - Stefan Ropele
- Department of Neurology, Medical University of Graz, Auenbruggerplatz 22, Graz, Austria
| | - Siegrid Fuchs
- Department of Neurology, Medical University of Graz, Auenbruggerplatz 22, Graz, Austria
| | - Christian Enzinger
- Department of Neurology, Medical University of Graz, Auenbruggerplatz 22, Graz, Austria.
- Research Unit for Neuronal Plasticity and Repair, Medical University of Graz, Auenbruggerplatz 22, Graz, Austria.
- Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Auenbruggerplatz 9, Graz, Austria.
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89
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Johnen A, Schiffler P, Landmeyer NC, Tenberge JG, Riepl E, Wiendl H, Krämer J, Meuth SG. Resolving the cognitive clinico-radiological paradox - Microstructural degeneration of fronto-striatal-thalamic loops in early active multiple sclerosis. Cortex 2019; 121:239-252. [PMID: 31654896 DOI: 10.1016/j.cortex.2019.08.022] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Revised: 07/10/2019] [Accepted: 08/30/2019] [Indexed: 12/18/2022]
Abstract
BACKGROUND Associations between cognitive impairment (CI) and both global and regional brain volumes can be weak in early multiple sclerosis (MS), a dilemma known as cognitive clinico-radiological paradox. We hypothesized that white-matter (WM) integrity within fronto-striatal-thalamic networks may be a sensitive marker for impaired performance in speed-dependent tasks, typical for early MS. METHODS Twenty-seven patients with early active relapsing-remitting MS (RRMS) received comprehensive neuropsychological assessment and underwent structural and diffusion-weighted brain magnetic resonance imaging (MRI). Global and regional brain volumes were obtained using FreeSurfer software. Fractional anisotropy (FA) was computed from diffusion tensor images to assess microstructural alterations within three anatomically predefined fronto-striatal-thalamic loops known to be relevant for speed-dependent attention and executive functions. RESULTS Overall cognitive performance (Spearman's ρ = .51) and performance in the domains processing speed (ρ = .44) and executive functions (ρ = .41) were correlated with patients' mean FA within the right dorsolateral-prefrontal loop. In addition, overall cognitive performance correlated with mean FA within the right lateral orbitofrontal loop (ρ = .39) - but only before controlling for WM lesion count. In contrast, regional volumes of grey-matter structures within these fronto-striatal-thalamic loops (including the thalamus) were not significantly related to CI. The total brain volume was associated with performance in the domain verbal memory (ρ = .43) only. CONCLUSIONS Microstructural degeneration within specific fronto-striatal-thalamic WM networks, previously characterized as crucial for task-monitoring, better accounts for speed-dependent CI in patients with early active RRMS than global or regional brain volumes. Our findings may advance our understanding of the neural substrates underlying CI characteristic for early RRMS.
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Affiliation(s)
- Andreas Johnen
- Department of Neurology with Institute for Translational Neurology, University Hospital Münster, Münster, Germany.
| | - Patrick Schiffler
- Department of Neurology with Institute for Translational Neurology, University Hospital Münster, Münster, Germany
| | - Nils C Landmeyer
- Department of Neurology with Institute for Translational Neurology, University Hospital Münster, Münster, Germany
| | - Jan-Gerd Tenberge
- Department of Neurology with Institute for Translational Neurology, University Hospital Münster, Münster, Germany
| | - Ester Riepl
- Department of Neurology with Institute for Translational Neurology, University Hospital Münster, Münster, Germany
| | - Heinz Wiendl
- Department of Neurology with Institute for Translational Neurology, University Hospital Münster, Münster, Germany
| | - Julia Krämer
- Department of Neurology with Institute for Translational Neurology, University Hospital Münster, Münster, Germany
| | - Sven G Meuth
- Department of Neurology with Institute for Translational Neurology, University Hospital Münster, Münster, Germany
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90
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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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91
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Finke C, Zimmermann H, Pache F, Oertel FC, Chavarro VS, Kramarenko Y, Bellmann-Strobl J, Ruprecht K, Brandt AU, Paul F. Association of Visual Impairment in Neuromyelitis Optica Spectrum Disorder With Visual Network Reorganization. JAMA Neurol 2019; 75:296-303. [PMID: 29297041 DOI: 10.1001/jamaneurol.2017.3890] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Importance Severe visual impairment is one of the major symptoms in neuromyelitis optica spectrum disorder (NMOSD), but functional network reorganization induced by the diminished sensory input has not been investigated thus far. Objective To examine adaptive visual network connectivity changes in NMOSD. Design, Setting, and Participants In this cross-sectional study, data were collected from May 1, 2013, through February 31, 2016, from 31 patients with aquaporin-4 antibody-positive NMOSD and 31 age- and sex-matched healthy control individuals at the Department of Neurology and NeuroCure Clinical Research Center at Charité-Universitätsmedizin Berlin, Berlin, Germany. Main Outcomes and Measures Visual function (high-contrast visual acuity and contrast sensitivity), optical coherence tomography (peripapillary retinal nerve fiber layer and ganglion cell layer thickness), and resting-state functional magnetic resonance imaging (functional connectivity of large-scale brain networks). Results Thirty-one patients with NMOSD (mean [SD] age, 48.2 [13.9] years; 28 women and 3 men) and 31 healthy controls (mean [SD] age, 47.2 [15.3] years; 28 women and 3 men) participated in the study. Patients had a selective and pronounced increase of functional connectivity in the primary and secondary visual networks. Increased primary visual network connectivity correlated with reduced high-contrast visual acuity (r = -0.39, P = .006), reduced low-contrast sensitivity (r = -0.33, P = .03), and more severe retinal damage measured by optical coherence tomography (r = -0.4, P = .01). Furthermore, visual functional connectivity was significantly higher in patients with a history of optic neuritis compared with patients without optic neuritis (mean [SD] regression coefficients, 50.0 [4.3] vs 34.6 [5.6]; P = .04). Conclusions and Relevance Impaired visual function and retinal damage are associated with selective reorganization of the visual network in NMOSD. These findings advance the understanding of visual system dysfunction in NMOSD and, more generally, provide insight into pathophysiologic responses of the visual system to impaired visual input.
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Affiliation(s)
- Carsten Finke
- Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany.,Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, Berlin, Germany
| | - Hanna Zimmermann
- NeuroCure Clinical Research Center, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Florence Pache
- Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany.,NeuroCure Clinical Research Center, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Frederike C Oertel
- NeuroCure Clinical Research Center, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | | | | | - Judith Bellmann-Strobl
- NeuroCure Clinical Research Center, Charité-Universitätsmedizin Berlin, Berlin, Germany.,Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Medicine and Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Klemens Ruprecht
- Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Alexander U Brandt
- NeuroCure Clinical Research Center, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Friedemann Paul
- Department of Neurology, Charité-Universitätsmedizin Berlin, Berlin, Germany.,NeuroCure Clinical Research Center, Charité-Universitätsmedizin Berlin, Berlin, Germany.,Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Medicine and Charité-Universitätsmedizin Berlin, Berlin, Germany
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92
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Fuchs TA, Ziccardi S, Dwyer MG, Charvet LE, Bartnik A, Campbell R, Escobar J, Hojnacki D, Kolb C, Oship D, Pol J, Shaw MT, Wojcik C, Yasin F, Weinstock-Guttman B, Zivadinov R, Benedict RH. Response heterogeneity to home-based restorative cognitive rehabilitation in multiple sclerosis: An exploratory study. Mult Scler Relat Disord 2019; 34:103-111. [DOI: 10.1016/j.msard.2019.06.026] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Revised: 06/13/2019] [Accepted: 06/19/2019] [Indexed: 11/29/2022]
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93
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Douw L, van Dellen E, Gouw AA, Griffa A, de Haan W, van den Heuvel M, Hillebrand A, Van Mieghem P, Nissen IA, Otte WM, Reijmer YD, Schoonheim MM, Senden M, van Straaten ECW, Tijms BM, Tewarie P, Stam CJ. The road ahead in clinical network neuroscience. Netw Neurosci 2019; 3:969-993. [PMID: 31637334 PMCID: PMC6777944 DOI: 10.1162/netn_a_00103] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Accepted: 07/23/2019] [Indexed: 12/15/2022] Open
Abstract
Clinical network neuroscience, the study of brain network topology in neurological and psychiatric diseases, has become a mainstay field within clinical neuroscience. Being a multidisciplinary group of clinical network neuroscience experts based in The Netherlands, we often discuss the current state of the art and possible avenues for future investigations. These discussions revolve around questions like "How do dynamic processes alter the underlying structural network?" and "Can we use network neuroscience for disease classification?" This opinion paper is an incomplete overview of these discussions and expands on ten questions that may potentially advance the field. By no means intended as a review of the current state of the field, it is instead meant as a conversation starter and source of inspiration to others.
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Affiliation(s)
- Linda Douw
- Department of Anatomy and Neuroscience, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Edwin van Dellen
- Department of Psychiatry, Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
- Melbourne Neuropsychiatry Centre, University of Melbourne and Melbourne Health, Melbourne, Australia
| | - Alida A. Gouw
- Department of Neurology, Clinical Neurophysiology and MEG Center, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Alessandra Griffa
- Connectome Lab, Department of Neuroscience, section Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Willem de Haan
- Department of Neurology, Clinical Neurophysiology and MEG Center, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Martijn van den Heuvel
- Connectome Lab, Department of Neuroscience, section Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Clinical Genetics, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Arjan Hillebrand
- Department of Neurology, Clinical Neurophysiology and MEG Center, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Piet Van Mieghem
- Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Delft, The Netherlands
| | - Ida A. Nissen
- Department of Neurology, Clinical Neurophysiology and MEG Center, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Willem M. Otte
- Biomedical MR Imaging and Spectroscopy Group, Center for Image Sciences, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands
- Department of Pediatric Neurology, Brain Center, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Yael D. Reijmer
- Department of Neurology, Brain Center, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Menno M. Schoonheim
- Department of Anatomy and Neuroscience, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Mario Senden
- Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands
- Maastricht Brain Imaging Centre, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, The Netherlands
| | - Elisabeth C. W. van Straaten
- Department of Neurology, Clinical Neurophysiology and MEG Center, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Betty M. Tijms
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Prejaas Tewarie
- Department of Neurology, Clinical Neurophysiology and MEG Center, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Cornelis J. Stam
- Department of Neurology, Clinical Neurophysiology and MEG Center, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
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94
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Pfaff L, Lamy J, Noblet V, Gounot D, Chanson JB, de Seze J, Blanc F. Emotional disturbances in multiple sclerosis: A neuropsychological and fMRI study. Cortex 2019; 117:205-216. [DOI: 10.1016/j.cortex.2019.02.017] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2017] [Revised: 08/02/2018] [Accepted: 02/20/2019] [Indexed: 01/21/2023]
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95
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Farahani FV, Karwowski W, Lighthall NR. Application of Graph Theory for Identifying Connectivity Patterns in Human Brain Networks: A Systematic Review. Front Neurosci 2019; 13:585. [PMID: 31249501 PMCID: PMC6582769 DOI: 10.3389/fnins.2019.00585] [Citation(s) in RCA: 281] [Impact Index Per Article: 56.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2018] [Accepted: 05/23/2019] [Indexed: 12/20/2022] Open
Abstract
Background: Analysis of the human connectome using functional magnetic resonance imaging (fMRI) started in the mid-1990s and attracted increasing attention in attempts to discover the neural underpinnings of human cognition and neurological disorders. In general, brain connectivity patterns from fMRI data are classified as statistical dependencies (functional connectivity) or causal interactions (effective connectivity) among various neural units. Computational methods, especially graph theory-based methods, have recently played a significant role in understanding brain connectivity architecture. Objectives: Thanks to the emergence of graph theoretical analysis, the main purpose of the current paper is to systematically review how brain properties can emerge through the interactions of distinct neuronal units in various cognitive and neurological applications using fMRI. Moreover, this article provides an overview of the existing functional and effective connectivity methods used to construct the brain network, along with their advantages and pitfalls. Methods: In this systematic review, the databases Science Direct, Scopus, arXiv, Google Scholar, IEEE Xplore, PsycINFO, PubMed, and SpringerLink are employed for exploring the evolution of computational methods in human brain connectivity from 1990 to the present, focusing on graph theory. The Cochrane Collaboration's tool was used to assess the risk of bias in individual studies. Results: Our results show that graph theory and its implications in cognitive neuroscience have attracted the attention of researchers since 2009 (as the Human Connectome Project launched), because of their prominent capability in characterizing the behavior of complex brain systems. Although graph theoretical approach can be generally applied to either functional or effective connectivity patterns during rest or task performance, to date, most articles have focused on the resting-state functional connectivity. Conclusions: This review provides an insight into how to utilize graph theoretical measures to make neurobiological inferences regarding the mechanisms underlying human cognition and behavior as well as different brain disorders.
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Affiliation(s)
- Farzad V Farahani
- Computational Neuroergonomics Laboratory, Department of Industrial Engineering and Management Systems, University of Central Florida, Orlando, FL, United States
| | - Waldemar Karwowski
- Computational Neuroergonomics Laboratory, Department of Industrial Engineering and Management Systems, University of Central Florida, Orlando, FL, United States
| | - Nichole R Lighthall
- Department of Psychology, University of Central Florida, Orlando, FL, United States
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96
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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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97
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Graph Theoretical Framework of Brain Networks in Multiple Sclerosis: A Review of Concepts. Neuroscience 2019; 403:35-53. [DOI: 10.1016/j.neuroscience.2017.10.033] [Citation(s) in RCA: 78] [Impact Index Per Article: 15.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2017] [Revised: 10/22/2017] [Accepted: 10/24/2017] [Indexed: 12/11/2022]
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98
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Petsas N, De Giglio L, González-Quintanilla V, Giuliani M, De Angelis F, Tona F, Carmellini M, Mainero C, Pozzilli C, Pantano P. Functional Connectivity Changes After Initial Treatment With Fingolimod in Multiple Sclerosis. Front Neurol 2019; 10:153. [PMID: 30967828 PMCID: PMC6438876 DOI: 10.3389/fneur.2019.00153] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2018] [Accepted: 02/05/2019] [Indexed: 11/27/2022] Open
Abstract
On the basis of recent functional MRI studies, Multiple Sclerosis (MS) has been interpreted as a multisystem disconnection syndrome. Compared to normal subjects, MS patients show alterations in functional connectivity (FC). However, the mechanisms underlying these alterations are still debated. The aim of the study is to investigate resting state (RS) FC changes after initial treatment with fingolimod, a proven anti-inflammatory and immunomodulating agent for MS. We studied 32 right-handed relapsing-remitting MS patients (median Expanded Disability Status Scale: 2.0, mean disease duration: 8.8 years) who underwent both functional and conventional MRI with a 3 Tesla magnet. All assessments were performed 3 weeks before starting fingolimod, then, at therapy-initiation stage and at month 6. Each imaging session included scans at baseline (run1) and after (run2) a 25-min, within-session, motor-practice task, consisting of a paced right-thumb flexion. FC was assessed using a seed on the left primary motor cortex to obtain parametric maps at run1 and task-induced FC change (run2-run1). Comparison between 3-week before- and fingolimod start sessions accounted for a test-retest effect. The main outcome was the changes in both baseline and task-induced changes in FC, between initiation and 6 months. MRI contrast enhancement was detected in 14 patients at initiation and only in 3 at month 6. There was a significant improvement (p < 0.05) in cognitive function, as measured by the Paced Auditory Serial Addition Task, at month 6 compared to initiation. After accounting for test-retest effect, baseline FC significantly decreased at month 6, with respect to initiation (p < 0.05, family-wise error corrected) in bilateral occipito-parietal areas and cerebellum. A task-induced change in FC at month 6 showed a significant increment in all examined sessions, involving not only areas of the sensorimotor network, but also posterior cortical areas (cuneus and precuneus) and areas of the prefrontal and temporal cortices (p < 0.05, family-wise error corrected). Cognitive improvement at month 6 was significantly (p < 0.05) related to baseline FC reduction in posterior cortical areas. This study shows significant changes in functional connectivity, both at baseline and after the execution of a simple motor task following 6 months of fingolimod therapy.
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Affiliation(s)
| | - Laura De Giglio
- Multiple Sclerosis Centre, Azienda Ospedaliera Sant'Andrea, Rome, Italy.,Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | | | - Manuela Giuliani
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Floriana De Angelis
- Queen Square Multiple Sclerosis Centre, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Francesca Tona
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | | | - Caterina Mainero
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, United States.,Harvard Medical School, Boston, MA, United States
| | - Carlo Pozzilli
- Multiple Sclerosis Centre, Azienda Ospedaliera Sant'Andrea, Rome, Italy.,Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Patrizia Pantano
- Department of Radiology, IRCCS NEUROMED, Pozzilli, Italy.,Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
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99
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Lazo-Gomez R, Velázquez GDLLG, Mireles-Jacobo D, Sotomayor-Sobrino MA. Mechanisms of neurobehavioral abnormalities in multiple sclerosis: Contributions from neural and immune components. Clin Neurophysiol Pract 2019; 4:39-46. [PMID: 30911699 PMCID: PMC6416523 DOI: 10.1016/j.cnp.2019.01.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2018] [Revised: 12/21/2018] [Accepted: 01/10/2019] [Indexed: 12/14/2022] Open
Abstract
Multiple sclerosis-related neurobehavioral abnormalities are one of the main components of disability in this disease. The same pathological processes that explain demyelination periods and neurodegeneration also allow the comprehension of neurobehavioral abnormalities. Inflammation in the central nervous system caused by cells of the immune system, especially lymphocytes, and by resident cells, such as astrocytes and microglia, directly modulate neurotransmission and synaptic physiology, resulting in behavioral changes (such as sickness behavior) and amplifying the degenerative mechanisms that occur in multiple sclerosis. In addition, neuronal death caused by glutamate-mediated excitotoxicity, alterations in GABAergic, serotonergic, and dopaminergic neurotransmission, and the mechanisms of axon damage are of foremost importance to explain the reduction in brain volume and the associated cognitive decline. Neuroinflammation and neurodegeneration are not isolated phenomena and various instances of interaction between them have been described. This presents attractive targets for the development of therapeutic strategies for this neglected component of multiple sclerosis related disability.
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Affiliation(s)
- Rafael Lazo-Gomez
- Neuroscience franchise, Novartis Pharma México, Calzada de Tlalpan 1779, San Diego Churubusco, 04120 Coyoacán, CDMX, Mexico
| | | | - Diego Mireles-Jacobo
- Neuroscience franchise, Novartis Pharma México, Calzada de Tlalpan 1779, San Diego Churubusco, 04120 Coyoacán, CDMX, Mexico
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100
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Savini G, Pardini M, Castellazzi G, Lascialfari A, Chard D, D'Angelo E, Gandini Wheeler-Kingshott CAM. Default Mode Network Structural Integrity and Cerebellar Connectivity Predict Information Processing Speed Deficit in Multiple Sclerosis. Front Cell Neurosci 2019; 13:21. [PMID: 30853896 PMCID: PMC6396736 DOI: 10.3389/fncel.2019.00021] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2018] [Accepted: 01/17/2019] [Indexed: 01/21/2023] Open
Abstract
Cognitive impairment affects about 50% of multiple sclerosis (MS) patients, but the mechanisms underlying this remain unclear. The default mode network (DMN) has been linked with cognition, but in MS its role is still poorly understood. Moreover, within an extended DMN network including the cerebellum (CBL-DMN), the contribution of cortico-cerebellar connectivity to MS cognitive performance remains unexplored. The present study investigated associations of DMN and CBL-DMN structural connectivity with cognitive processing speed in MS, in both cognitively impaired (CIMS) and cognitively preserved (CPMS) MS patients. 68 MS patients and 22 healthy controls (HCs) completed a symbol digit modalities test (SDMT) and had 3T brain magnetic resonance imaging (MRI) scans that included a diffusion weighted imaging protocol. DMN and CBL-DMN tracts were reconstructed with probabilistic tractography. These networks (DMN and CBL-DMN) and the cortico-cerebellar tracts alone were modeled using a graph theoretical approach with fractional anisotropy (FA) as the weighting factor. Brain parenchymal fraction (BPF) was also calculated. In CIMS SDMT scores strongly correlated with the FA-weighted global efficiency (GE) of the network [GE(CBL-DMN): ρ = 0.87, R2 = 0.76, p < 0.001; GE(DMN): ρ = 0.82, R2 = 0.67, p < 0.001; GE(CBL): ρ = 0.80, R2 = 0.64, p < 0.001]. In CPMS the correlation between these measures was significantly lower [GE(CBL-DMN): ρ = 0.51, R2 = 0.26, p < 0.001; GE(DMN): ρ = 0.48, R2 = 0.23, p = 0.001; GE(CBL): ρ = 0.52, R2 = 0.27, p < 0.001] and SDMT scores correlated most with BPF (ρ = 0.57, R2 = 0.33, p < 0.001). In a multivariable regression model where SDMT was the independent variable, FA-weighted GE was the only significant explanatory variable in CIMS, while in CPMS BPF and expanded disability status scale were significant. No significant correlation was found in HC between SDMT scores, MRI or network measures. DMN structural GE is related to cognitive performance in MS, and results of CBL-DMN suggest that the cerebellum structural connectivity to the DMN plays an important role in information processing speed decline.
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Affiliation(s)
| | - Matteo Pardini
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics and Maternal and Child Health, University of Genoa, Genoa, Italy.,Ospedale Policlinico S. Martino, Genoa, Italy
| | - Gloria Castellazzi
- Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.,NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, Institute of Neurology, University College London, London, United Kingdom
| | | | - Declan Chard
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, Institute of Neurology, University College London, London, United Kingdom.,National Institute for Health Research, University College London Hospitals, Biomedical Research Centre, London, United Kingdom
| | - Egidio D'Angelo
- Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.,Brain Connectivity Center, IRCCS Mondino Foundation, Pavia, Italy
| | - Claudia A M Gandini Wheeler-Kingshott
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, Institute of Neurology, University College London, London, United Kingdom.,Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.,Brain MRI 3T Mondino Research Center, IRCCS Mondino Foundation, Pavia, Italy
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