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Sorrentino P, Pathak A, Ziaeemehr A, Troisi Lopez E, Cipriano L, Romano A, Sparaco M, Quarantelli M, Banerjee A, Sorrentino G, Jirsa V, Hashemi M. The virtual multiple sclerosis patient. iScience 2024; 27:110101. [PMID: 38974971 PMCID: PMC11226980 DOI: 10.1016/j.isci.2024.110101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Revised: 03/09/2024] [Accepted: 05/22/2024] [Indexed: 07/09/2024] Open
Abstract
Multiple sclerosis (MS) diagnosis typically involves assessing clinical symptoms, MRI findings, and ruling out alternative explanations. While myelin damage broadly affects conduction speeds, traditional tests focus on specific white-matter tracts, which may not reflect overall impairment accurately. In this study, we integrate diffusion tensor immaging (DTI) and magnetoencephalography (MEG) data into individualized virtual brain models to estimate conduction velocities for MS patients and controls. Using Bayesian inference, we demonstrated a causal link between empirical spectral changes and inferred slower conduction velocities in patients. Remarkably, these velocities proved superior predictors of clinical disability compared to structural damage. Our findings underscore a nuanced relationship between conduction delays and large-scale brain dynamics, suggesting that individualized velocity alterations at the whole-brain level contribute causatively to clinical outcomes in MS.
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Affiliation(s)
- P. Sorrentino
- Institut de Neurosciences des Systèmes, Aix-Marseille Université, Marseille, France
- Institute of Applied Sciences and Intelligent Systems, National Research Council, Pozzuoli, Italy
| | - A. Pathak
- National Brain Research Centre, Manesar, Gurgaon, Haryana, India
| | - A. Ziaeemehr
- Institut de Neurosciences des Systèmes, Aix-Marseille Université, Marseille, France
| | - E. Troisi Lopez
- Department of Motor Sciences and Wellness, Parthenope University of Naples, Naples, Italy
- Institute for Diagnosis and Cure Hermitage Capodimonte, Naples, Italy
| | - L. Cipriano
- Department of Motor Sciences and Wellness, Parthenope University of Naples, Naples, Italy
- Institute for Diagnosis and Cure Hermitage Capodimonte, Naples, Italy
| | - A. Romano
- Department of Motor Sciences and Wellness, Parthenope University of Naples, Naples, Italy
- Institute for Diagnosis and Cure Hermitage Capodimonte, Naples, Italy
| | - M. Sparaco
- Department of Advanced Medical and Surgical Sciences, University of Campania Luigi Vanvitelli, Caserta, Italy
| | - M. Quarantelli
- Biostructure and Bioimaging Institute, National Research Council, Naples, Italy
| | - A. Banerjee
- National Brain Research Centre, Manesar, Gurgaon, Haryana, India
| | - G. Sorrentino
- Department of Motor Sciences and Wellness, Parthenope University of Naples, Naples, Italy
- Institute for Diagnosis and Cure Hermitage Capodimonte, Naples, Italy
| | - V. Jirsa
- Institut de Neurosciences des Systèmes, Aix-Marseille Université, Marseille, France
| | - M. Hashemi
- Institut de Neurosciences des Systèmes, Aix-Marseille Université, Marseille, France
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Komar A, Dickson K, Alavinia M, Bruno T, Bayley M, Feinstein A, Scandiffio J, Simpson R. Effects of mindfulness-based interventions on cognition in people with multiple sclerosis: a systematic review and meta-analysis of randomized controlled trials. Front Psychiatry 2024; 15:1339851. [PMID: 39071226 PMCID: PMC11272459 DOI: 10.3389/fpsyt.2024.1339851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2023] [Accepted: 06/24/2024] [Indexed: 07/30/2024] Open
Abstract
Introduction Cognitive impairment affects up to 65% of people with multiple sclerosis (PwMS), undermining functional independence and quality of life. The objective of this study is to synthesize existing randomized controlled trial (RCT) evidence on the effects of Mindfulness-based interventions (MBIs) on cognitive function in PwMS. Methods A systematic literature search was conducted to identify RCTs assessing MBIs effects on cognitive functioning in PwMS. Using pre-defined criteria, two independent reviewers screened titles, abstracts, and extracted data from included studies. Meta-analysis was performed, where possible, using a random effects model. Narrative synthesis was undertaken. Preferred Reporting Items for Systematic Reviews and Meta-analysis guidance was followed. PROSPERO_ID:(CRD42021286429). Results Twelve eligible RCTs were identified, n=700 PwMS. MBIs included both standardized and tailored interventions, in-person and virtually. A variety of measures of cognitive functioning were reported. Five studies (n=254 PwMS) were included in meta-analysis; pooled results suggested MBIs effectively improved scores on the Paced Auditory Serial Addition Test (PASAT)-2 (SMD=0.38; 95% CI 0.06-0.71; I2 63%; p=0.02), whereas improvements were of borderline significance on the PASAT-3 (SMD=0.32; 95% CI -0.01-0.64; I2 65%; p=0.06), and, although trending to positive, were statistically insignificant on the Perceived Deficits Questionnaire (SMD=0.34; 95 CI -0.05-0.74; I2 0%; p=0.09) and Symbol Digits Modality Test (SMD=0.25; 95% CI -0.15-0.66; I2 0%; p=0.21). Conclusion Preliminary findings in meta-analysis are inconsistent but suggest potential benefits from MBI training on cognitive functioning in PwMS. High quality RCTs are necessary to test more definitively the impact of MBIs on cognitive functioning in PwMS. Systematic review registration PROSPERO, identifier CRD42021286429.
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Affiliation(s)
- Alyssa Komar
- Department of Medicine, Division of Physical Medicine and Rehabilitation, University of Toronto, Toronto, ON, Canada
| | | | - Mohammad Alavinia
- Department of Medicine, Division of Physical Medicine and Rehabilitation, University of Toronto, Toronto, ON, Canada
| | - Tania Bruno
- Department of Medicine, Division of Physical Medicine and Rehabilitation, University of Toronto, Toronto, ON, Canada
| | - Mark Bayley
- Department of Medicine, Division of Physical Medicine and Rehabilitation, University of Toronto, Toronto, ON, Canada
| | - Anthony Feinstein
- Department of Medicine, Division of Psychiatry, University of Toronto, Toronto, ON, Canada
| | | | - Robert Simpson
- Department of Medicine, Division of Physical Medicine and Rehabilitation, University of Toronto, Toronto, ON, Canada
- University of Glasgow, Glasgow, Scotland, United Kingdom
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Gaetani L, Salvadori N, Brachelente G, Sperandei S, Di Sabatino E, Fiacca A, Mancini A, Villa A, De Stefano N, Parnetti L, Di Filippo M. Intrathecal B cell activation and memory impairment in multiple sclerosis. Mult Scler Relat Disord 2024; 85:105548. [PMID: 38513467 DOI: 10.1016/j.msard.2024.105548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Accepted: 03/07/2024] [Indexed: 03/23/2024]
Abstract
BACKGROUND Cognitive impairment (CI) is a common and disabling feature of people with multiple sclerosis (pwMS), but its underlying mechanisms are heterogenous and not fully understood. A role of infiltrating immune cells in the meninges and brain parenchyma has been hypothesized. This study aimed to explore the hypothesis that intrathecal B cells might influence cognitive performance in pwMS. METHODS A retrospective study was performed on 39 newly diagnosed pwMS who underwent cerebrospinal fluid (CSF) analysis. Kappa (κ)-index was measured as a biomarker of intrathecal B cell activation. Cognitive performance was assessed using the Brief Repeatable Battery of Neuropsychological Tests (BRBN). Brain T2 lesions number (T2LN) and volume (T2LV) together with brain, cortical grey matter, thalamic and hippocampal volumes were calculated to account for MRI-visible damage. RESULTS κ-index was higher in pwMS with verbal memory impairment (median 99.6, range 58.5-195.2 vs. median 37.2, range 2.3-396.9, p < 0.001), and it was negatively associated with BRBN tests exploring verbal memory and information processing speed. In multivariate models, higher κ-index was confirmed to be independently associated with worse scores of BRBN tests exploring verbal memory and with a higher probability of verbal memory impairment. CONCLUSION Intrathecal B cells might drive memory impairment in pwMS independently of brain damage visible on MRI scans.
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Affiliation(s)
- Lorenzo Gaetani
- Section of Neurology, Department of Medicine and Surgery, University of Perugia, Piazzale Severi 8, Perugia 06132, Italy..
| | - Nicola Salvadori
- Section of Neurology, Department of Medicine and Surgery, University of Perugia, Piazzale Severi 8, Perugia 06132, Italy
| | - Giovanni Brachelente
- Clinical Pathology Laboratory, University Hospital S. Maria della Misericordia, Perugia, Italy
| | - Silvia Sperandei
- Section of Neurology, Department of Medicine and Surgery, University of Perugia, Piazzale Severi 8, Perugia 06132, Italy
| | - Elena Di Sabatino
- Section of Neurology, Department of Medicine and Surgery, University of Perugia, Piazzale Severi 8, Perugia 06132, Italy
| | - Andrea Fiacca
- Section of Neuroradiology, University Hospital S. Maria della Misericordia, Perugia, Italy
| | - Andrea Mancini
- Section of Neurology, Department of Medicine and Surgery, University of Perugia, Piazzale Severi 8, Perugia 06132, Italy
| | - Alfredo Villa
- Clinical Pathology Laboratory, University Hospital S. Maria della Misericordia, Perugia, Italy
| | - Nicola De Stefano
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Lucilla Parnetti
- Section of Neurology, Department of Medicine and Surgery, University of Perugia, Piazzale Severi 8, Perugia 06132, Italy
| | - Massimiliano Di Filippo
- Section of Neurology, Department of Medicine and Surgery, University of Perugia, Piazzale Severi 8, Perugia 06132, Italy
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Kampaite A, Gustafsson R, York EN, Foley P, MacDougall NJJ, Bastin ME, Chandran S, Waldman AD, Meijboom R. Brain connectivity changes underlying depression and fatigue in relapsing-remitting multiple sclerosis: A systematic review. PLoS One 2024; 19:e0299634. [PMID: 38551913 PMCID: PMC10980255 DOI: 10.1371/journal.pone.0299634] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Accepted: 02/13/2024] [Indexed: 04/01/2024] Open
Abstract
Multiple Sclerosis (MS) is an autoimmune disease affecting the central nervous system, characterised by neuroinflammation and neurodegeneration. Fatigue and depression are common, debilitating, and intertwined symptoms in people with relapsing-remitting MS (pwRRMS). An increased understanding of brain changes and mechanisms underlying fatigue and depression in RRMS could lead to more effective interventions and enhancement of quality of life. To elucidate the relationship between depression and fatigue and brain connectivity in pwRRMS we conducted a systematic review. Searched databases were PubMed, Web-of-Science and Scopus. Inclusion criteria were: studied participants with RRMS (n ≥ 20; ≥ 18 years old) and differentiated between MS subtypes; published between 2001-01-01 and 2023-01-18; used fatigue and depression assessments validated for MS; included brain structural, functional magnetic resonance imaging (fMRI) or diffusion MRI (dMRI). Sixty studies met the criteria: 18 dMRI (15 fatigue, 5 depression) and 22 fMRI (20 fatigue, 5 depression) studies. The literature was heterogeneous; half of studies reported no correlation between brain connectivity measures and fatigue or depression. Positive findings showed that abnormal cortico-limbic structural and functional connectivity was associated with depression. Fatigue was linked to connectivity measures in cortico-thalamic-basal-ganglial networks. Additionally, both depression and fatigue were related to altered cingulum structural connectivity, and functional connectivity involving thalamus, cerebellum, frontal lobe, ventral tegmental area, striatum, default mode and attention networks, and supramarginal, precentral, and postcentral gyri. Qualitative analysis suggests structural and functional connectivity changes, possibly due to axonal and/or myelin loss, in the cortico-thalamic-basal-ganglial and cortico-limbic network may underlie fatigue and depression in pwRRMS, respectively, but the overall results were inconclusive, possibly explained by heterogeneity and limited number of studies. This highlights the need for further studies including advanced MRI to detect more subtle brain changes in association with depression and fatigue. Future studies using optimised imaging protocols and validated depression and fatigue measures are required to clarify the substrates underlying these symptoms in pwRRMS.
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Affiliation(s)
- Agniete Kampaite
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Edinburgh Imaging, Edinburgh Imaging Facility, University of Edinburgh, Edinburgh, United Kingdom
| | - Rebecka Gustafsson
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
| | - Elizabeth N. York
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Edinburgh Imaging, Edinburgh Imaging Facility, University of Edinburgh, Edinburgh, United Kingdom
- Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, United Kingdom
| | - Peter Foley
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, United Kingdom
| | - Niall J. J. MacDougall
- Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, United Kingdom
- Department of Neurology, Institute of Neurological Sciences, Queen Elizabeth University Hospital, Glasgow, United Kingdom
| | - Mark E. Bastin
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Edinburgh Imaging, Edinburgh Imaging Facility, University of Edinburgh, Edinburgh, United Kingdom
| | - Siddharthan Chandran
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, United Kingdom
- UK Dementia Research Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Adam D. Waldman
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Edinburgh Imaging, Edinburgh Imaging Facility, University of Edinburgh, Edinburgh, United Kingdom
| | - Rozanna Meijboom
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom
- Edinburgh Imaging, Edinburgh Imaging Facility, University of Edinburgh, Edinburgh, United Kingdom
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Langdon D. Neuropsychological assessment in MS is outdated and in need for innovation: NO. Mult Scler 2024; 30:152-153. [PMID: 38291549 PMCID: PMC10851639 DOI: 10.1177/13524585241227773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
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Tahedl M, Wiltgen T, Voon CC, Berthele A, Kirschke JS, Hemmer B, Mühlau M, Zimmer C, Wiestler B. Cortical Thin Patch Fraction Reflects Disease Burden in MS: The Mosaic Approach. AJNR Am J Neuroradiol 2023; 45:82-89. [PMID: 38164526 PMCID: PMC10756581 DOI: 10.3174/ajnr.a8064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 10/18/2023] [Indexed: 01/03/2024]
Abstract
BACKGROUND AND PURPOSE GM pathology plays an essential role in MS disability progression, emphasizing the importance of neuroradiologic biomarkers to capture the heterogeneity of cortical disease burden. This study aimed to assess the validity of a patch-wise, individual interpretation of cortical thickness data to identify GM pathology, the "mosaic approach," which was previously suggested as a biomarker for assessing and localizing atrophy. MATERIALS AND METHODS We investigated the mosaic approach in a cohort of 501 patients with MS with respect to 89 internal and 651 external controls. The resulting metric of the mosaic approach is the so-called thin patch fraction, which is an estimate of overall cortical disease burden per patient. We evaluated the mosaic approach with respect to the following: 1) discrimination between patients with MS and controls, 2) classification between different MS phenotypes, and 3) association with established biomarkers reflecting MS disease burden, using general linear modeling. RESULTS The thin patch fraction varied significantly between patients with MS and healthy controls and discriminated among MS phenotypes. Furthermore, the thin patch fraction was associated with disease burden, including the Expanded Disability Status Scale, cognitive and fatigue scores, and lesion volume. CONCLUSIONS This study demonstrates the validity of the mosaic approach as a neuroradiologic biomarker in MS. The output of the mosaic approach, namely the thin patch fraction, is a candidate biomarker for assessing and localizing cortical GM pathology. The mosaic approach can furthermore enhance the development of a personalized cortical MS biomarker, given that the thin patch fraction provides a feature on which artificial intelligence methods can be trained. Most important, we showed the validity of the mosaic approach when referencing data with respect to external control MR imaging repositories.
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Affiliation(s)
- Marlene Tahedl
- From the Department of Neuroradiology (M.T., J.S.K., C.Z., B.W.), School of Medicine, Technical University of Munich, Munich, Germany
| | - Tun Wiltgen
- Department of Neurology (T.W., C.C.V., A.B., B.H., M.M.), School of Medicine, Technical University of Munich, Munich, Germany
| | - Cui Ci Voon
- Department of Neurology (T.W., C.C.V., A.B., B.H., M.M.), School of Medicine, Technical University of Munich, Munich, Germany
| | - Achim Berthele
- Department of Neurology (T.W., C.C.V., A.B., B.H., M.M.), School of Medicine, Technical University of Munich, Munich, Germany
| | - Jan S Kirschke
- From the Department of Neuroradiology (M.T., J.S.K., C.Z., B.W.), School of Medicine, Technical University of Munich, Munich, Germany
| | - Bernhard Hemmer
- Department of Neurology (T.W., C.C.V., A.B., B.H., M.M.), School of Medicine, Technical University of Munich, Munich, Germany
- Munich Cluster for Systems Neurology (B.H.), Munich, Germany
| | - Mark Mühlau
- Department of Neurology (T.W., C.C.V., A.B., B.H., M.M.), School of Medicine, Technical University of Munich, Munich, Germany
| | - Claus Zimmer
- From the Department of Neuroradiology (M.T., J.S.K., C.Z., B.W.), School of Medicine, Technical University of Munich, Munich, Germany
| | - Benedikt Wiestler
- From the Department of Neuroradiology (M.T., J.S.K., C.Z., B.W.), School of Medicine, Technical University of Munich, Munich, Germany
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Tahedl M, Wiltgen T, Voon CC, Berthele A, Kirschke JS, Hemmer B, Mühlau M, Zimmer C, Wiestler B. Benefits of a mosaic approach for assessing cortical atrophy in individual multiple sclerosis patients. Brain Behav 2023; 13:e3327. [PMID: 37961043 PMCID: PMC10726853 DOI: 10.1002/brb3.3327] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 10/31/2023] [Accepted: 11/01/2023] [Indexed: 11/15/2023] Open
Abstract
OBJECTIVE Cortical gray matter (GM) atrophy plays a central role in multiple sclerosis (MS) pathology. However, it is not commonly assessed in clinical routine partly because a number of methodological problems hamper the development of a robust biomarker to quantify GM atrophy. In previous work, we have demonstrated the clinical utility of the "mosaic approach" (MAP) to assess individual GM atrophy in the motor neuron disease spectrum and frontotemporal dementia. In this study, we investigated the clinical utility of MAP in MS, comparing this novel biomarker to existing methods for computing GM atrophy in single patients. We contrasted the strategies based on correlations with established biomarkers reflecting MS disease burden. METHODS We analyzed T1-weighted MPRAGE magnetic resonance imaging data from 465 relapsing-remitting MS patients and 89 healthy controls. We inspected how variations of existing strategies to estimate individual GM atrophy ("standard approaches") as well as variations of MAP (i.e., different parcellation schemes) impact downstream analysis results, both on a group and an individual level. We interpreted individual cortical disease burden as single metric reflecting the fraction of significantly atrophic data points with respect to the control group. In addition, we evaluated the correlations to lesion volume (LV) and Expanded Disability Status Scale (EDSS). RESULTS We found that the MAP method yielded highest correlations with both LV and EDSS as compared to all other strategies. Although the parcellation resolution played a minor role in terms of absolute correlations with clinical variables, higher resolutions provided more clearly defined statistical brain maps which may facilitate clinical interpretability. CONCLUSION This study provides evidence that MAP yields high potential for a clinically relevant biomarker in MS, outperforming existing methods to compute cortical disease burden in single patients. Of note, MAP outputs brain maps illustrating individual cortical disease burden which can be directly interpreted in daily clinical routine.
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Affiliation(s)
- Marlene Tahedl
- Department of Neuroradiology, School of MedicineTechnical University of MunichMunichGermany
| | - Tun Wiltgen
- Department of Neurology, School of MedicineTechnical University of MunichMunichGermany
| | - Cui Ci Voon
- Department of Neurology, School of MedicineTechnical University of MunichMunichGermany
| | - Achim Berthele
- Department of Neurology, School of MedicineTechnical University of MunichMunichGermany
| | - Jan S. Kirschke
- Department of Neuroradiology, School of MedicineTechnical University of MunichMunichGermany
| | - Bernhard Hemmer
- Department of Neurology, School of MedicineTechnical University of MunichMunichGermany
| | - Mark Mühlau
- Department of Neurology, School of MedicineTechnical University of MunichMunichGermany
| | - Claus Zimmer
- Department of Neuroradiology, School of MedicineTechnical University of MunichMunichGermany
| | - Benedikt Wiestler
- Department of Neuroradiology, School of MedicineTechnical University of MunichMunichGermany
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Bontempi P, Rozzanigo U, Marangoni S, Fogazzi E, Ravanelli D, Cazzoletti L, Giometto B, Farace P. Non-lesional white matter in relapsing-remitting multiple sclerosis assessed by multicomponent T2 relaxation. Brain Behav 2023; 13:e3334. [PMID: 38041516 PMCID: PMC10726908 DOI: 10.1002/brb3.3334] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 10/31/2023] [Accepted: 11/02/2023] [Indexed: 12/03/2023] Open
Abstract
INTRODUCTION The purpose of the study is to investigate, by T2 relaxation, non-lesional white matter (WM) in relapsing-remitting (RR) multiple sclerosis (MS). METHODS Twenty stable RR MS patients underwent 1.5T Magnetic Resonance Imaging (MRI) with 3D Fluid-Attenuated Inversion-Recovery (FLAIR), 3D-T1-weighted, and T2-relaxation multi-echo sequences. The Lesion Segmentation Tool processed FLAIR images to identify focal lesions (FLs), whereas T1 images were segmented to identify WM and FL sub-volumes with T1 hypo-intensity. Non-lesional WM was obtained as the segmented WM, excluding FL volumes. The multi-echo sequence allowed decomposition into myelin water, intra-extracellular water, and free water (Fw), which were evaluated on the segmented non-lesional WM. Correlation analysis was performed between the non-lesional WM relaxation parameters and Expanded Disability Status Scale (EDSS), disease duration, patient age, and T1 hypo-intense FL volumes. RESULTS The T1 hypo-intense FL volumes correlated with EDSS. On the non-lesional WM, the median Fw correlated with EDSS, disease duration, age, and T1 hypo-intense FL volumes. Bivariate EDSS correlation of FL volumes and WM T2-relaxation parameters did not improve significance. CONCLUSION T2 relaxation allowed identifying subtle WM alterations, which significantly correlated with EDSS, disease duration, and age but do not seem to be EDSS-predictors independent from FL sub-volumes in stable RR patients. Particularly, the increase in the Fw component is suggestive of an uninvestigated prodromal phenomenon in brain degeneration.
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Affiliation(s)
- Pietro Bontempi
- Department of Engineering for Innovation MedicineUniversity of VeronaVeronaItaly
| | - Umberto Rozzanigo
- Neuro‐radiology Unit, Hospital of TrentoAzienda Provinciale per i Servizi Sanitari (APSS)TrentoItaly
| | - Sabrina Marangoni
- Neurology Unit, Hospital of TrentoAzienda Provinciale per i Servizi Sanitari (APSS)TrentoItaly
| | - Elena Fogazzi
- Physics departmentUniversity of TrentoPovoTrentoItaly
| | - Daniele Ravanelli
- Medical Physics Department, Hospital of TrentoAzienda Provinciale per i Servizi Sanitari (APSS)TrentoItaly
| | - Lucia Cazzoletti
- Unit of Epidemiology and Medical Statistics, Department of Diagnostics and Public HealthUniversity of VeronaVeronaItaly
| | - Bruno Giometto
- Neurology Unit, Hospital of TrentoAzienda Provinciale per i Servizi Sanitari (APSS)TrentoItaly
| | - Paolo Farace
- Medical Physics Department, Hospital of TrentoAzienda Provinciale per i Servizi Sanitari (APSS)TrentoItaly
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Kletenik I, Cohen AL, Glanz BI, Ferguson MA, Tauhid S, Li J, Drew W, Polgar-Turcsanyi M, Palotai M, Siddiqi SH, Marshall GA, Chitnis T, Guttmann CRG, Bakshi R, Fox MD. Multiple sclerosis lesions that impair memory map to a connected memory circuit. J Neurol 2023; 270:5211-5222. [PMID: 37532802 PMCID: PMC10592111 DOI: 10.1007/s00415-023-11907-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Revised: 07/24/2023] [Accepted: 07/26/2023] [Indexed: 08/04/2023]
Abstract
BACKGROUND Nearly 1 million Americans are living with multiple sclerosis (MS) and 30-50% will experience memory dysfunction. It remains unclear whether this memory dysfunction is due to overall white matter lesion burden or damage to specific neuroanatomical structures. Here we test if MS memory dysfunction is associated with white matter lesions to a specific brain circuit. METHODS We performed a cross-sectional analysis of standard structural images and verbal memory scores as assessed by immediate recall trials from 431 patients with MS (mean age 49.2 years, 71.9% female) enrolled at a large, academic referral center. White matter lesion locations from each patient were mapped using a validated algorithm. First, we tested for associations between memory dysfunction and total MS lesion volume. Second, we tested for associations between memory dysfunction and lesion intersection with an a priori memory circuit derived from stroke lesions. Third, we performed mediation analyses to determine which variable was most associated with memory dysfunction. Finally, we performed a data-driven analysis to derive de-novo brain circuits for MS memory dysfunction using both functional (n = 1000) and structural (n = 178) connectomes. RESULTS Both total lesion volume (r = 0.31, p < 0.001) and lesion damage to our a priori memory circuit (r = 0.34, p < 0.001) were associated with memory dysfunction. However, lesion damage to the memory circuit fully mediated the association of lesion volume with memory performance. Our data-driven analysis identified multiple connections associated with memory dysfunction, including peaks in the hippocampus (T = 6.05, family-wise error p = 0.000008), parahippocampus, fornix and cingulate. Finally, the overall topography of our data-driven MS memory circuit matched our a priori stroke-derived memory circuit. CONCLUSIONS Lesion locations associated with memory dysfunction in MS map onto a specific brain circuit centered on the hippocampus. Lesion damage to this circuit fully mediated associations between lesion volume and memory. A circuit-based approach to mapping MS symptoms based on lesions visible on standard structural imaging may prove useful for localization and prognosis of higher order deficits in MS.
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Affiliation(s)
- Isaiah Kletenik
- Division of Cognitive and Behavioral Neurology, Brigham and Women's Hospital, 60 Fenwood Road, 9016H, Boston, MA, 02115, USA.
- Department of Neurology, Brigham and Women's Hospital, Boston, USA.
- Center for Brain Circuit Therapeutics, Brigham and Women's Hospital, Boston, USA.
- Harvard Medical School, Boston, MA, USA.
| | - Alexander L Cohen
- Center for Brain Circuit Therapeutics, Brigham and Women's Hospital, Boston, USA
- Harvard Medical School, Boston, MA, USA
- Department of Neurology, Boston Children's Hospital, Boston, MA, USA
- Computational Radiology Laboratory, Department of Radiology, Boston Children's Hospital, Boston, MA, USA
| | - Bonnie I Glanz
- Brigham Multiple Sclerosis Center, Brigham and Women's Hospital, Harvard Medical School Boston, Boston, MA, USA
| | - Michael A Ferguson
- Department of Neurology, Brigham and Women's Hospital, Boston, USA
- Center for Brain Circuit Therapeutics, Brigham and Women's Hospital, Boston, USA
- Harvard Medical School, Boston, MA, USA
| | - Shahamat Tauhid
- Department of Neurology, Brigham and Women's Hospital, Boston, USA
| | - Jing Li
- Center for Brain Circuit Therapeutics, Brigham and Women's Hospital, Boston, USA
| | - William Drew
- Center for Brain Circuit Therapeutics, Brigham and Women's Hospital, Boston, USA
| | - Mariann Polgar-Turcsanyi
- Brigham Multiple Sclerosis Center, Brigham and Women's Hospital, Harvard Medical School Boston, Boston, MA, USA
| | - Miklos Palotai
- Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA
| | - Shan H Siddiqi
- Center for Brain Circuit Therapeutics, Brigham and Women's Hospital, Boston, USA
- Harvard Medical School, Boston, MA, USA
- Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, USA
| | - Gad A Marshall
- Division of Cognitive and Behavioral Neurology, Brigham and Women's Hospital, 60 Fenwood Road, 9016H, Boston, MA, 02115, USA
- Department of Neurology, Brigham and Women's Hospital, Boston, USA
- Harvard Medical School, Boston, MA, USA
- Center for Alzheimer Research and Treatment, Brigham and Women's Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
| | - Tanuja Chitnis
- Department of Neurology, Brigham and Women's Hospital, Boston, USA
- Harvard Medical School, Boston, MA, USA
- Brigham Multiple Sclerosis Center, Brigham and Women's Hospital, Harvard Medical School Boston, Boston, MA, USA
| | - Charles R G Guttmann
- Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA
- Center for Neurological Imaging, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Rohit Bakshi
- Department of Neurology, Brigham and Women's Hospital, Boston, USA
- Harvard Medical School, Boston, MA, USA
- Brigham Multiple Sclerosis Center, Brigham and Women's Hospital, Harvard Medical School Boston, Boston, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA
| | - Michael D Fox
- Division of Cognitive and Behavioral Neurology, Brigham and Women's Hospital, 60 Fenwood Road, 9016H, Boston, MA, 02115, USA
- Department of Neurology, Brigham and Women's Hospital, Boston, USA
- Center for Brain Circuit Therapeutics, Brigham and Women's Hospital, Boston, USA
- Harvard Medical School, Boston, MA, USA
- Department of Radiology, Brigham and Women's Hospital, Boston, MA, USA
- Department of Psychiatry, Brigham and Women's Hospital, Boston, MA, USA
- Department of Neurology, Massachusetts General Hospital, Boston, MA, USA
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
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Grant JG, Rapport LJ, Darling R, Waldron-Perrine B, Lumley MA, Whitfield KE, Bernitsas E. Cognitive enrichment and education quality moderate cognitive dysfunction in black and white adults with multiple sclerosis. Mult Scler Relat Disord 2023; 78:104916. [PMID: 37552903 DOI: 10.1016/j.msard.2023.104916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 05/30/2023] [Accepted: 07/23/2023] [Indexed: 08/10/2023]
Abstract
OBJECTIVE To examine the extent to which three sociobehavioral proxies of cognitive reserve-years of education, education quality, and cognitive enrichment-differ in their prediction of cognitive performance among Black and White people with MS (PwMS). METHODS 82 PwMS (Black n = 41, White n = 41) underwent a neurological examination and a neuropsychological evaluation that included tests of word recognition (Wechsler Test of Adult Reading) as well as measures of verbal memory, visuospatial memory, and processing speed (the Brief International Cognitive Assessment for MS; BICAMS). Participants rated their lifetime engagement in various cognitively-enriching activities (Cognitive Reserve Scale). RESULTS For the full sample, education quality and cognitive enrichment were more strongly associated with cognitive performance than were years of education. Cognitive enrichment was not associated with cognitive performance among participants with high education quality. In contrast, among participants with low education quality, cognitive enrichment was strongly associated with cognitive performance, suggesting that high engagement in cognitively-enriching activities provided similar protection to high education quality. Furthermore, among Black participants, cognitive enrichment and educational quality moderated the relationship between disability level and cognitive performance. In contrast, among White participants, cognitive enrichment did not provide additional protection beyond the buffering effect of education quality. CONCLUSIONS PwMS can successfully build reserve through multiple routes, including formal education or informal cognitive enrichment. Treatment for MS should incorporate cognitively-enriching activities to build resilience against cognitive decline, particularly for members of marginalized racial/ethnic groups, who are at greatest risk for poor health outcomes, and for whom years of education may not best reflect education quality.
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Affiliation(s)
- Jeremy G Grant
- Department of Psychology, Wayne State University, 5057 Woodward Ave., Detroit, MI 48202, USA.
| | - Lisa J Rapport
- Department of Psychology, Wayne State University, 5057 Woodward Ave., Detroit, MI 48202, USA
| | - Rachel Darling
- Department of Neurology, Wayne State University School of Medicine, Detroit, MI, USA
| | - Brigid Waldron-Perrine
- Department of Physical Medicine & Rehabilitation, Wayne State University School of Medicine, Detroit, MI, USA
| | - Mark A Lumley
- Department of Psychology, Wayne State University, 5057 Woodward Ave., Detroit, MI 48202, USA
| | - Keith E Whitfield
- Department of Psychology and Department of Brain Health, University of Nevada, Las Vegas, NV, USA
| | - Evanthia Bernitsas
- Department of Neurology, Wayne State University School of Medicine, Detroit, MI, USA
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11
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De Cock A, Van Ranst A, Costers L, Keytsman E, D'Hooghe MB, D'Haeseleer M, Nagels G, Van Schependom J. Reduced alpha2 power is associated with slowed information processing speed in multiple sclerosis. Eur J Neurol 2023; 30:2793-2800. [PMID: 37326133 DOI: 10.1111/ene.15927] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Revised: 06/08/2023] [Accepted: 06/12/2023] [Indexed: 06/17/2023]
Abstract
OBJECTIVE Cognitive impairment is common in multiple sclerosis (MS), significantly impacts daily functioning, is time-consuming to assess, and is prone to practice effects. We examined whether the alpha band power measured with magnetoencephalography (MEG) is associated with the different cognitive domains affected by MS. METHODS Sixty-eight MS patients and 47 healthy controls underwent MEG, T1- and FLAIR-weighted magnetic resonance imaging (MRI), and neuropsychological testing. Alpha power in the occipital cortex was quantified in the alpha1 (8-10 Hz) and alpha2 (10-12 Hz) bands. Next, we performed best subset regression to assess the added value of neurophysiological measures to commonly available MRI measures. RESULTS Alpha2 power significantly correlated with information processing speed (p < 0.001) and was always retained in all multilinear models, whereas thalamic volume was retained in 80% of all models. Alpha1 power was correlated with visual memory (p < 0.001) but only retained in 38% of all models. CONCLUSIONS Alpha2 (10-12 Hz) power in rest is associated with IPS, independent of standard MRI parameters. This study stresses that a multimodal assessment, including structural and functional biomarkers, is likely required to characterize cognitive impairment in MS. Resting-state neurophysiology is thus a promising tool to understand and follow up changes in IPS.
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Affiliation(s)
- Alexander De Cock
- Nationaal Multiple Sclerose Centrum, Melsbroek, Belgium
- Center for Neurosciences (C4N), Vrije Universiteit Brussel (VUB), Brussels, Belgium
- AIMS Lab, Center for Neurosciences, UZ Brussel, Vrije Universiteit Brussel, Brussels, Belgium
| | - Alexander Van Ranst
- Neurology Department, Universitair Ziekenhuis Brussel, Brussels, Belgium
- Center for Neurosciences, Vrije Universiteit Brussel, Brussels, Belgium
| | - Lars Costers
- AIMS Lab, Center for Neurosciences, UZ Brussel, Vrije Universiteit Brussel, Brussels, Belgium
| | - Eva Keytsman
- AIMS Lab, Center for Neurosciences, UZ Brussel, Vrije Universiteit Brussel, Brussels, Belgium
| | - Marie B D'Hooghe
- Nationaal Multiple Sclerose Centrum, Melsbroek, Belgium
- Neurology Department, Universitair Ziekenhuis Brussel, Brussels, Belgium
- Center for Neurosciences, Vrije Universiteit Brussel, Brussels, Belgium
| | - Miguel D'Haeseleer
- Nationaal Multiple Sclerose Centrum, Melsbroek, Belgium
- Neurology Department, Universitair Ziekenhuis Brussel, Brussels, Belgium
- Center for Neurosciences, Vrije Universiteit Brussel, Brussels, Belgium
| | - Guy Nagels
- Center for Neurosciences (C4N), Vrije Universiteit Brussel (VUB), Brussels, Belgium
- AIMS Lab, Center for Neurosciences, UZ Brussel, Vrije Universiteit Brussel, Brussels, Belgium
- Neurology Department, Universitair Ziekenhuis Brussel, Brussels, Belgium
- Center for Neurosciences, Vrije Universiteit Brussel, Brussels, Belgium
- St Edmund Hall, University of Oxford, Oxford, UK
| | - Jeroen Van Schependom
- AIMS Lab, Center for Neurosciences, UZ Brussel, Vrije Universiteit Brussel, Brussels, Belgium
- Department of Electronics and Informatics (ETRO), Vrije Universiteit Brussel, Brussels, Belgium
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12
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Slowing processing speed is associated with cognitive fatigue in newly diagnosed multiple sclerosis patients. J Int Neuropsychol Soc 2023; 29:283-289. [PMID: 35465860 DOI: 10.1017/s1355617722000157] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
OBJECTIVE To further investigate objective measures of cognitive fatigue (CF), defined as the inability to sustain performance over time, in newly diagnosed multiple sclerosis (MS) patients, by conducting a performance analysis on the Paced Auditory Serial Addition Test (PASAT) based on the type of errors (omissions vs. incorrect responses) committed. METHOD Sixty-two newly diagnosed patients with MS (pwMS) and 41 healthy controls (HC) completed the PASAT. Analysis of the change in performance during the test was performed by comparing the number of correct responses, incorrect responses, and omissions in the 1st versus the 3rd tertile of the PASAT. RESULTS A significant decline in accuracy over time was observed to be related to an increment in the number of omissions, significantly more pronounced in pwMS than in HC. No change in the number of incorrect responses throughout the PASAT was observed for either group. CONCLUSIONS CF can be detected even in newly diagnosed pwMS and might objectively manifest as a progressive increase in omissions during a sustained highly demanding task (i.e., PASAT). This pattern may reflect slowed processing speed and increased fatigue in pwMS. Focusing on omissions on the PASAT instead of correct responses only may improve its specificity as an objective measure of CF.
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13
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Grant JG, Rapport LJ, Darling R, Waldron-Perrine B, Bernitsas E. Incremental validity of brief and abbreviated neuropsychological tests toward predicting functional outcomes in multiple sclerosis. APPLIED NEUROPSYCHOLOGY. ADULT 2023:1-11. [PMID: 36773023 DOI: 10.1080/23279095.2023.2176766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/12/2023]
Abstract
OBJECTIVE This study examined the relationships among functional outcomes and performance on standard-length and abbreviated cognitive screening measures for multiple sclerosis (MS). METHOD 72 adults with MS underwent neurological examination and cognitive screening. They completed standard-length and abbreviated versions of tests from the Minimal Assessment of Cognitive Function in MS (MACFIMS), the abbreviated aMACFIMS, and the Brief International Cognitive Assessment for MS (BICAMS). Functional outcomes included neurological disability, physical and psychological dysfunction, and employment status. RESULTS Concordance of impairment classifications was examined between standard-length and abbreviated tests using logistic regression and ROC curve analyses. Overall, the abbreviated test versions showed a broad range of concordance with impairment classifications made using the full-length tests. Processing speed was the strongest correlate of neurological disability and employment status; immediate recall was the strongest predictor of subjective physical dysfunction. Test performance provided unique value toward predicting neurological disability and employment status, but not physical and psychological dysfunction. CONCLUSIONS The findings replicate some support for abbreviated tests in MS assessment, although caveats regarding loss of validity associated with abbreviation remain. The findings extend prior research showing that abbreviated tests of processing speed and immediate recall can provide unique predictive information regarding objective functional outcomes.
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Affiliation(s)
- Jeremy G Grant
- Department of Psychology, Wayne State University, Detroit, MI, USA
| | - Lisa J Rapport
- Department of Psychology, Wayne State University, Detroit, MI, USA
| | - Rachel Darling
- Department of Neurology, Wayne State University School of Medicine, Detroit, MI, USA
| | - Brigid Waldron-Perrine
- Department of Physical Medicine & Rehabilitation, Wayne State University School of Medicine, Detroit, MI, USA
| | - Eva Bernitsas
- Department of Neurology, Wayne State University School of Medicine, Detroit, MI, USA
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14
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Gruber M, Mauritz M, Meinert S, Grotegerd D, de Lange SC, Grumbach P, Goltermann J, Winter NR, Waltemate L, Lemke H, Thiel K, Winter A, Breuer F, Borgers T, Enneking V, Klug M, Brosch K, Meller T, Pfarr JK, Ringwald KG, Stein F, Opel N, Redlich R, Hahn T, Leehr EJ, Bauer J, Nenadić I, Kircher T, van den Heuvel MP, Dannlowski U, Repple J. Cognitive performance and brain structural connectome alterations in major depressive disorder. Psychol Med 2023; 53:1-12. [PMID: 36752136 PMCID: PMC10600941 DOI: 10.1017/s0033291722004007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 12/02/2022] [Accepted: 12/23/2022] [Indexed: 02/09/2023]
Abstract
BACKGROUND Cognitive dysfunction and brain structural connectivity alterations have been observed in major depressive disorder (MDD). However, little is known about their interrelation. The present study follows a network approach to evaluate alterations in cognition-related brain structural networks. METHODS Cognitive performance of n = 805 healthy and n = 679 acutely depressed or remitted individuals was assessed using 14 cognitive tests aggregated into cognitive factors. The structural connectome was reconstructed from structural and diffusion-weighted magnetic resonance imaging. Associations between global connectivity strength and cognitive factors were established using linear regressions. Network-based statistics were applied to identify subnetworks of connections underlying these global-level associations. In exploratory analyses, effects of depression were assessed by evaluating remission status-related group differences in subnetwork-specific connectivity. Partial correlations were employed to directly test the complete triad of cognitive factors, depressive symptom severity, and subnetwork-specific connectivity strength. RESULTS All cognitive factors were associated with global connectivity strength. For each cognitive factor, network-based statistics identified a subnetwork of connections, revealing, for example, a subnetwork positively associated with processing speed. Within that subnetwork, acutely depressed patients showed significantly reduced connectivity strength compared to healthy controls. Moreover, connectivity strength in that subnetwork was associated to current depressive symptom severity independent of the previous disease course. CONCLUSIONS Our study is the first to identify cognition-related structural brain networks in MDD patients, thereby revealing associations between cognitive deficits, depressive symptoms, and reduced structural connectivity. This supports the hypothesis that structural connectome alterations may mediate the association of cognitive deficits and depression severity.
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Affiliation(s)
- Marius Gruber
- Institute for Translational Psychiatry, University of Münster, 48149 Münster, Germany
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Goethe University, 60528 Frankfurt, Germany
| | - Marco Mauritz
- Institute for Translational Psychiatry, University of Münster, 48149 Münster, Germany
| | - Susanne Meinert
- Institute for Translational Psychiatry, University of Münster, 48149 Münster, Germany
- Institute of Translational Neuroscience, University of Münster, 48149 Münster, Germany
| | - Dominik Grotegerd
- Institute for Translational Psychiatry, University of Münster, 48149 Münster, Germany
| | - Siemon C. de Lange
- Connectome Lab, Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, 1081 HV Amsterdam, The Netherlands
- Department of Sleep and Cognition, Netherlands Institute for Neuroscience, an institute of the Royal Netherlands Academy of Arts and Sciences, 1105 BA Amsterdam, The Netherlands
| | - Pascal Grumbach
- Institute for Translational Psychiatry, University of Münster, 48149 Münster, Germany
| | - Janik Goltermann
- Institute for Translational Psychiatry, University of Münster, 48149 Münster, Germany
| | - Nils Ralf Winter
- Institute for Translational Psychiatry, University of Münster, 48149 Münster, Germany
| | - Lena Waltemate
- Institute for Translational Psychiatry, University of Münster, 48149 Münster, Germany
| | - Hannah Lemke
- Institute for Translational Psychiatry, University of Münster, 48149 Münster, Germany
| | - Katharina Thiel
- Institute for Translational Psychiatry, University of Münster, 48149 Münster, Germany
| | - Alexandra Winter
- Institute for Translational Psychiatry, University of Münster, 48149 Münster, Germany
| | - Fabian Breuer
- Institute for Translational Psychiatry, University of Münster, 48149 Münster, Germany
| | - Tiana Borgers
- Institute for Translational Psychiatry, University of Münster, 48149 Münster, Germany
| | - Verena Enneking
- Institute for Translational Psychiatry, University of Münster, 48149 Münster, Germany
| | - Melissa Klug
- Institute for Translational Psychiatry, University of Münster, 48149 Münster, Germany
| | - Katharina Brosch
- Department of Psychiatry and Psychotherapy, University of Marburg, 35039 Marburg, Germany
- Center for Mind, Brain and Behavior, University of Marburg, 35032 Marburg, Germany
| | - Tina Meller
- Department of Psychiatry and Psychotherapy, University of Marburg, 35039 Marburg, Germany
- Center for Mind, Brain and Behavior, University of Marburg, 35032 Marburg, Germany
| | - Julia-Katharina Pfarr
- Department of Psychiatry and Psychotherapy, University of Marburg, 35039 Marburg, Germany
- Center for Mind, Brain and Behavior, University of Marburg, 35032 Marburg, Germany
| | - Kai Gustav Ringwald
- Department of Psychiatry and Psychotherapy, University of Marburg, 35039 Marburg, Germany
- Center for Mind, Brain and Behavior, University of Marburg, 35032 Marburg, Germany
| | - Frederike Stein
- Department of Psychiatry and Psychotherapy, University of Marburg, 35039 Marburg, Germany
- Center for Mind, Brain and Behavior, University of Marburg, 35032 Marburg, Germany
| | - Nils Opel
- Institute for Translational Psychiatry, University of Münster, 48149 Münster, Germany
- Department of Psychiatry, Jena University Hospital/Friedrich-Schiller-University Jena, 07743 Jena, Germany
| | - Ronny Redlich
- Institute for Translational Psychiatry, University of Münster, 48149 Münster, Germany
- Institute of Psychology, University of Halle, 06108 Halle (Saale), Germany
| | - Tim Hahn
- Institute for Translational Psychiatry, University of Münster, 48149 Münster, Germany
| | - Elisabeth J. Leehr
- Institute for Translational Psychiatry, University of Münster, 48149 Münster, Germany
| | - Jochen Bauer
- Department of Radiology, University of Münster, 48149 Münster, Germany
| | - Igor Nenadić
- Department of Psychiatry and Psychotherapy, University of Marburg, 35039 Marburg, Germany
- Center for Mind, Brain and Behavior, University of Marburg, 35032 Marburg, Germany
| | - Tilo Kircher
- Department of Psychiatry and Psychotherapy, University of Marburg, 35039 Marburg, Germany
- Center for Mind, Brain and Behavior, University of Marburg, 35032 Marburg, Germany
| | - Martijn P. van den Heuvel
- Connectome Lab, Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, 1081 HV Amsterdam, The Netherlands
- Department of Child Psychiatry, Amsterdam University Medical Center, Amsterdam Neuroscience, 1105 AZ Amsterdam, The Netherlands
| | - Udo Dannlowski
- Institute for Translational Psychiatry, University of Münster, 48149 Münster, Germany
| | - Jonathan Repple
- Institute for Translational Psychiatry, University of Münster, 48149 Münster, Germany
- Department of Psychiatry, Psychosomatic Medicine and Psychotherapy, University Hospital Frankfurt, Goethe University, 60528 Frankfurt, Germany
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15
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Lohmeier J, Silva RV, Tietze A, Taupitz M, Kaneko T, Prüss H, Paul F, Infante-Duarte C, Hamm B, Caravan P, Makowski MR. Fibrin-targeting molecular MRI in inflammatory CNS disorders. Eur J Nucl Med Mol Imaging 2022; 49:3692-3704. [PMID: 35507058 PMCID: PMC9399196 DOI: 10.1007/s00259-022-05807-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2021] [Accepted: 04/16/2022] [Indexed: 12/31/2022]
Abstract
BACKGROUND Fibrin deposition is a fundamental pathophysiological event in the inflammatory component of various CNS disorders, such as multiple sclerosis (MS) and Alzheimer's disease. Beyond its traditional role in coagulation, fibrin elicits immunoinflammatory changes with oxidative stress response and activation of CNS-resident/peripheral immune cells contributing to CNS injury. PURPOSE To investigate if CNS fibrin deposition can be determined using molecular MRI, and to assess its capacity as a non-invasive imaging biomarker that corresponds to inflammatory response and barrier impairment. MATERIALS AND METHODS Specificity and efficacy of a peptide-conjugated Gd-based molecular MRI probe (EP2104-R) to visualise and quantify CNS fibrin deposition were evaluated. Probe efficacy to specifically target CNS fibrin deposition in murine adoptive-transfer experimental autoimmune encephalomyelitis (EAE), a pre-clinical model for MS (n = 12), was assessed. Findings were validated using immunohistochemistry and laser ablation inductively coupled plasma mass spectrometry. Deposition of fibrin in neuroinflammatory conditions was investigated and its diagnostic capacity for disease staging and monitoring as well as quantification of immunoinflammatory response was determined. Results were compared using t-tests (two groups) or one-way ANOVA with multiple comparisons test. Linear regression was used to model the relationship between variables. RESULTS For the first time (to our knowledge), CNS fibrin deposition was visualised and quantified in vivo using molecular imaging. Signal enhancement was apparent in EAE lesions even 12-h after administration of EP2104-R due to targeted binding (M ± SD, 1.07 ± 0.10 (baseline) vs. 0.73 ± 0.09 (EP2104-R), p = .008), which could be inhibited with an MRI-silent analogue (M ± SD, 0.60 ± 0.14 (EP2104-R) vs. 0.96 ± 0.13 (EP2104-La), p = .006). CNS fibrin deposition corresponded to immunoinflammatory activity (R2 = 0.85, p < .001) and disability (R2 = 0.81, p < .001) in a model for MS, which suggests a clinical role for staging and monitoring. Additionally, EP2104-R showed substantially higher SNR (M ± SD, 6.6 ± 1 (EP2104-R) vs. 2.7 ± 0.4 (gadobutrol), p = .004) than clinically used contrast media, which increases sensitivity for lesion detection. CONCLUSIONS Molecular imaging of CNS fibrin deposition provides an imaging biomarker for inflammatory CNS pathology, which corresponds to pathophysiological ECM remodelling and disease activity, and yields high signal-to-noise ratio, which can improve diagnostic neuroimaging across several neurological diseases with variable degrees of barrier impairment.
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Affiliation(s)
- Johannes Lohmeier
- Department of Radiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Campus Charité Mitte (CCM), Charitéplatz 1, 10117, Berlin, Germany.
| | - Rafaela V Silva
- Experimental and Clinical Research Center, a cooperation between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and Charité Universitätsmedizin Berlin, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Einstein Center for Neurosciences Berlin, Charitéplatz 1, 10117, Berlin, Germany
- Max Delbrueck Center for Molecular Medicine in the Helmholtz Association (MDC), Lindenberger Weg 80, 13125, Berlin, Germany
| | - Anna Tietze
- Institute of Neuroradiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Campus Charité Mitte (CCM), Charitéplatz 1, 10117, Berlin, Germany
| | - Matthias Taupitz
- Department of Radiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Campus Charité Mitte (CCM), Charitéplatz 1, 10117, Berlin, Germany
| | - Takaaki Kaneko
- Center for the Evolutionary Origins of Human Behavior, Kyoto University, Inuyama, Aichi, 484-8506, Japan
| | - Harald Prüss
- Department of Neurology and Experimental Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Campus Charité Mitte (CCM) and German Center for Neurodegenerative Diseases (DZNE) Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Friedemann Paul
- NeuroCure Clinical Research Center and Experimental and Clinical Research Center, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
- Max Delbrueck Center for Molecular Medicine in the Helmholtz Association (MDC), Lindenberger Weg 80, 13125, Berlin, Germany
| | - Carmen Infante-Duarte
- Experimental and Clinical Research Center, a cooperation between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and Charité Universitätsmedizin Berlin, Berlin, Germany
- Max Delbrueck Center for Molecular Medicine in the Helmholtz Association (MDC), Lindenberger Weg 80, 13125, Berlin, Germany
| | - Bernd Hamm
- Department of Radiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Campus Charité Mitte (CCM), Charitéplatz 1, 10117, Berlin, Germany
| | - Peter Caravan
- A. A. Martinos Center for Biomedical Imaging, Institute for Innovation in Imaging, Massachusetts General Hospital, Harvard Medical School, 149 Thirteenth Street, Suite 2301, Charlestown, MB, 02129, USA
| | - Marcus R Makowski
- Department of Radiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Campus Charité Mitte (CCM), Charitéplatz 1, 10117, Berlin, Germany
- Department of Radiology, Klinikum Rechts der Isar, Technische Universität München, Ismaninger Str. 22, 81675, München, Germany
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16
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Rise HH, Brune S, Chien C, Berge T, Bos SD, Andorrà M, Valdeolivas IP, Beyer MK, Sowa P, Scheel M, Brandt AU, Asseyer S, Blennow K, Pedersen ML, Zetterberg H, de Schotten MT, Cellerino M, Uccelli A, Paul F, Villoslada P, Harbo HF, Westlye LT, Høgestøl EA. Brain disconnectome mapping derived from white matter lesions and serum neurofilament light levels in multiple sclerosis: A longitudinal multicenter study. Neuroimage Clin 2022; 35:103099. [PMID: 35772194 PMCID: PMC9253471 DOI: 10.1016/j.nicl.2022.103099] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Revised: 06/21/2022] [Accepted: 06/22/2022] [Indexed: 11/18/2022]
Abstract
BACKGROUND AND OBJECTIVES Connectivity-based approaches incorporating the distribution and magnitude of the extended brain network aberrations caused by lesions may offer higher sensitivity for axonal damage in patients with multiple sclerosis (MS) than conventional lesion characteristics. Using individual brain disconnectome mapping, we tested the longitudinal associations between putative imaging-based brain network aberrations and levels of serum neurofilament light chain (NfL) as a neuroaxonal injury biomarker. METHODS MS patients (n = 312, mean age 42.9 years, 71 % female) and healthy controls (HC) (n = 59, mean age 39.9 years, 78 % female) were prospectively enrolled at four European MS centres, and reassessed after two years (MS, n = 242; HC, n = 30). Post-processing of 3 Tesla (3 T) MRI data was performed at one centre using a harmonized pipeline, and disconnectome maps were calculated using BCBtoolkit based on individual lesion maps. Global disconnectivity (GD) was defined as the average disconnectome probability in each patient's white matter. Serum NfL concentrations were measured by single molecule array (Simoa). Robust linear mixed models (rLMM) with GD or T2-lesion volume (T2LV) as dependent variables, patient as a random factor, serum NfL, age, sex, timepoint for visit, diagnosis, treatment, and center as fixed factors were run. RESULTS rLMM revealed significant associations between GD and serum NfL (t = 2.94, p = 0.003), age (t = 4.21, p = 2.5 × 10-5), and longitudinal changes in NfL (t = -2.29, p = 0.02), but not for sex (t = 0.63, p = 0.53) or treatments (t = 0.80-0.83, p = 0.41-0.42). Voxel-wise analyses revealed significant associations between dysconnectivity in cerebellar and brainstem regions and serum NfL (t = 7.03, p < 0.001). DISCUSSION In our prospective multi-site MS cohort, rLMMs demonstrated that the extent of global and regional brain disconnectivity is sensitive to a systemic biomarker of axonal damage, serum NfL, in patients with MS. These findings provide a neuroaxonal correlate of advanced disconnectome mapping and provide a platform for further investigations of the functional and potential clinical relevance of brain disconnectome mapping in patients with brain disorders.
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Affiliation(s)
- Henning H Rise
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Department of Psychology, University of Oslo, Oslo, Norway
| | - Synne Brune
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Claudia Chien
- Charité -Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin & Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Experimental and Clinical Research Center, Germany; Charité -Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, NeuroCure Clinical Research Center, Germany; Charité -Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Department for Psychiatry and Psychotherapy, Germany
| | - Tone Berge
- Department of Mechanical, Electronics and Chemical Engineering, Oslo Metropolitan University, Oslo, Norway; Department of Research, Innovation and Education, Oslo University Hospital, Oslo, Norway
| | - Steffan D Bos
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Magí Andorrà
- Institut d'Investigacions Biomèdiques August Pi Sunyer, Barcelona, Spain
| | | | - Mona K Beyer
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Piotr Sowa
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Michael Scheel
- Charité -Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, NeuroCure Clinical Research Center, Germany; Charité -Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Department of Neuroradiology, Germany
| | - Alexander U Brandt
- Charité -Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin & Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Experimental and Clinical Research Center, Germany; Charité -Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, NeuroCure Clinical Research Center, Germany; Department of Neurology, University of California, Irvine, CA, USA
| | - Susanna Asseyer
- Charité -Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin & Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Experimental and Clinical Research Center, Germany
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - Mads L Pedersen
- NORMENT, Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Department of Psychology, University of Oslo, Oslo, Norway
| | - Henrik Zetterberg
- Clinical Neurochemistry Laboratory, Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden; Department of Neurodegenerative Disease, Institute of Neurology, University College London, London, United Kingdom; UK Dementia Research Institute at UCL, London, United Kingdom
| | - Michel Thiebaut de Schotten
- Brain Connectivity and Behaviour Laboratory, Sorbonne Universities, Paris, France; Groupe d'Imagerie Neurofonctionnelle, Institut des Maladies Neurodégénératives- UMR 5293, CNRS, CEA University of Bordeaux, Bordeaux, France
| | - Maria Cellerino
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy
| | - Antonio Uccelli
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, Genoa, Italy; IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Friedemann Paul
- Charité -Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin & Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Experimental and Clinical Research Center, Germany; Charité -Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, NeuroCure Clinical Research Center, Germany; IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Pablo Villoslada
- Institut d'Investigacions Biomèdiques August Pi Sunyer, Barcelona, Spain
| | - Hanne F Harbo
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Neurology, Oslo University Hospital, 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
| | - Einar A Høgestøl
- Department of Psychology, University of Oslo, Oslo, Norway; Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Neurology, Oslo University Hospital, Oslo, Norway.
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17
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Ahmed NS, AbdAllah MA, Nassef AM, Mohamed AEA, Nada MA. Cognitive impairment in paediatric onset multiple sclerosis and its relation to thalamic volume and cortical thickness of temporal lobe by magnetic resonance imaging. THE EGYPTIAN JOURNAL OF NEUROLOGY, PSYCHIATRY AND NEUROSURGERY 2022. [DOI: 10.1186/s41983-022-00492-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Pediatric onset multiple sclerosis (POMS), defined as an age at onset younger than 18 years, which occurs in 5% of patients with MS. cognitive dysfunction is one of the prominent disabling sequelae of Multiple sclerosis. Brain volumetric studies by magnetic resonance images revealed the decline of whole and regional brain volumes along the disease course. This work aimed to investigate the relationship between cognitive impairment in pediatric MS patients with thalamic atrophy and cortical thickness of temporal lobe. This study included 50 patients who were diagnosed as POMS and 50 healthy control participants matched for age and sex. Both groups were compared for volumetric measurements of thalamic volumes and temporal lobes cortical thickness using a computerized program called FreeSurfer.MS group was evaluated for cognitive dysfunction using Arabic version of fifth edition of Standford–Benit test. A correlation between volumetric results and neuropsychological evaluation of MS group was done.
Results
Our study showed that the MS group has the lowest value regarding their thalamic volumes and their cortical thickness of temporal lobes in relation to the healthy control group, while there was a significant relation between cognitive impairment and decrease in thalamic volume and specific areas in cortical thickness, such as superior temporal thickness, middle temporal thickness, inferior temporal thickness, fusiform thickness and para hippocampal thickness of temporal lobe in pediatric onset MS patients.
Conclusions
POMS affects specific brain areas such as thalamus and cortical thickness of temporal lobes regarding their volume and thickness which influence the neuropsychological evaluation detected by Standford–Benit test.
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18
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Larassati H, Pandelaki J, Estiasari R, Prihartono J, Firdausia S, Yunus RE, Mulyadi R. Diffusion magnetic resonance imaging of normal-appearing white matter in multiple sclerosis: correlation with brain volume and clinical disability. J Cent Nerv Syst Dis 2022; 14:11795735221098147. [PMID: 35572123 PMCID: PMC9092575 DOI: 10.1177/11795735221098147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 04/14/2022] [Indexed: 11/25/2022] Open
Abstract
Background Diffusion magnetic resonance imaging (MRI) abnormalities in multiple
sclerosis (MS) are not limited to lesions, but have also been observed in
the white matter that appears normal on conventional MRI sequences, known as
normal-appearing white matter (NAWM). There is evidence of microstructural
processes occurring in the NAWM. Objective To assess the correlation between NAWM apparent diffusion coefficient (ADC)
and fractional anisotropy (FA) with brain volume and clinical disability in
MS. Methods Brain MRI from 33 MS patients were included. ADC and FA measurements of the
genu, body, and splenium of corpus callosum (CC) were done. ADC and FA
values were analyzed to measure their correlation with brain volume from MR
volumetry and clinical disability represented by Expanded Disability Status
Scale (EDSS). Results The mean ADC of CC NAWM was .93 ×10−3 mm2/s (±.13 SD),
and the mean FA .72 (±.12 SD). ADC and FA of CC NAWM were significantly
correlated with the ratio of brain volume to intracranial volume (R = −0,70
and 0,78 respectively), and with EDSS (R = .52 and −.59 respectively). Conclusion There were significant correlations between ADC and FA of NAWM with brain
volume and EDSS of MS patients. Further longitudinal studies were needed to
evaluate the potential of diffusion MRI in the evaluation of MS.
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Affiliation(s)
- Hana Larassati
- Radiology Department, Dr. Cipto Mangunkusumo General Hospital and Universitas Indonesia, Jakarta, Indonesia
| | - Jacub Pandelaki
- Radiology Department, Dr. Cipto Mangunkusumo General Hospital and Universitas Indonesia, Jakarta, Indonesia
| | - Riwanti Estiasari
- Neurology Department, Dr. Cipto Mangunkusumo General Hospital and Universitas Indonesia, Jakarta, Indonesia
| | - Joedo Prihartono
- Community Medicine Department, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia
| | - Salsabila Firdausia
- Neurology Department, Dr. Cipto Mangunkusumo General Hospital and Universitas Indonesia, Jakarta, Indonesia
| | - Reyhan Eddy Yunus
- Radiology Department, Dr. Cipto Mangunkusumo General Hospital and Universitas Indonesia, Jakarta, Indonesia
| | - Rahmad Mulyadi
- Radiology Department, Dr. Cipto Mangunkusumo General Hospital and Universitas Indonesia, Jakarta, Indonesia
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19
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Meijboom R, Wiseman SJ, York EN, Bastin ME, Valdés Hernández MDC, Thrippleton MJ, Mollison D, White N, Kampaite A, Ng Kee Kwong K, Rodriguez Gonzalez D, Job D, Weaver C, Kearns PKA, Connick P, Chandran S, Waldman AD. Rationale and design of the brain magnetic resonance imaging protocol for FutureMS: a longitudinal multi-centre study of newly diagnosed patients with relapsing-remitting multiple sclerosis in Scotland. Wellcome Open Res 2022; 7:94. [PMID: 36865371 PMCID: PMC9971644 DOI: 10.12688/wellcomeopenres.17731.1] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/02/2022] [Indexed: 12/22/2022] Open
Abstract
Introduction: Multiple sclerosis (MS) is a chronic neuroinflammatory and neurodegenerative disease. MS prevalence varies geographically and is notably high in Scotland. Disease trajectory varies significantly between individuals and the causes for this are largely unclear. Biomarkers predictive of disease course are urgently needed to allow improved stratification for current disease modifying therapies and future targeted treatments aimed at neuroprotection and remyelination. Magnetic resonance imaging (MRI) can detect disease activity and underlying damage non-invasively in vivo at the micro and macrostructural level. FutureMS is a prospective Scottish longitudinal multi-centre cohort study, which focuses on deeply phenotyping patients with recently diagnosed relapsing-remitting MS (RRMS). Neuroimaging is a central component of the study and provides two main primary endpoints for disease activity and neurodegeneration. This paper provides an overview of MRI data acquisition, management and processing in FutureMS. FutureMS is registered with the Integrated Research Application System (IRAS, UK) under reference number 169955. Methods and analysis: MRI is performed at baseline (N=431) and 1-year follow-up, in Dundee, Glasgow and Edinburgh (3T Siemens) and in Aberdeen (3T Philips), and managed and processed in Edinburgh. The core structural MRI protocol comprises T1-weighted, T2-weighted, FLAIR and proton density images. Primary imaging outcome measures are new/enlarging white matter lesions (WML) and reduction in brain volume over one year. Secondary imaging outcome measures comprise WML volume as an additional quantitative structural MRI measure, rim lesions on susceptibility-weighted imaging, and microstructural MRI measures, including diffusion tensor imaging and neurite orientation dispersion and density imaging metrics, relaxometry, magnetisation transfer (MT) ratio, MT saturation and derived g-ratio measures. Conclusions: FutureMS aims to reduce uncertainty around disease course and allow for targeted treatment in RRMS by exploring the role of conventional and advanced MRI measures as biomarkers of disease severity and progression in a large population of RRMS patients in Scotland.
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Affiliation(s)
- Rozanna Meijboom
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Edinburgh Imaging, University of Edinburgh, Edinburgh, UK
| | - Stewart J. Wiseman
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Edinburgh Imaging, University of Edinburgh, Edinburgh, UK
| | - Elizabeth N. York
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Edinburgh Imaging, University of Edinburgh, Edinburgh, UK
| | - Mark E. Bastin
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Edinburgh Imaging, University of Edinburgh, Edinburgh, UK
| | - Maria del C. Valdés Hernández
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Edinburgh Imaging, University of Edinburgh, Edinburgh, UK
| | - Michael J. Thrippleton
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Edinburgh Imaging, University of Edinburgh, Edinburgh, UK
| | - Daisy Mollison
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Edinburgh Imaging, University of Edinburgh, Edinburgh, UK
| | - Nicole White
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Edinburgh Imaging, University of Edinburgh, Edinburgh, UK
| | - Agniete Kampaite
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Edinburgh Imaging, University of Edinburgh, Edinburgh, UK
| | - Koy Ng Kee Kwong
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Edinburgh Imaging, University of Edinburgh, Edinburgh, UK
| | - David Rodriguez Gonzalez
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Edinburgh Imaging, University of Edinburgh, Edinburgh, UK
| | - Dominic Job
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Edinburgh Imaging, University of Edinburgh, Edinburgh, UK
| | - Christine Weaver
- Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, UK
| | - Patrick K. A. Kearns
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, UK
| | - Peter Connick
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, UK
| | - Siddharthan Chandran
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, UK
| | - Adam D. Waldman
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, UK
- Edinburgh Imaging, University of Edinburgh, Edinburgh, UK
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20
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Nij Bijvank JA, Strijbis EMM, Nauta IM, Kulik SD, Balk LJ, Stam CJ, Hillebrand A, Geurts JJG, Uitdehaag BMJ, van Rijn LJ, Petzold A, Schoonheim MM. Impaired saccadic eye movements in multiple sclerosis are related to altered functional connectivity of the oculomotor brain network. Neuroimage Clin 2021; 32:102848. [PMID: 34624635 PMCID: PMC8503580 DOI: 10.1016/j.nicl.2021.102848] [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: 03/17/2021] [Revised: 09/17/2021] [Accepted: 09/28/2021] [Indexed: 11/28/2022]
Abstract
Impaired eye movements in multiple sclerosis (MS) and functional connectivity (FC) Eye movements related to altered FC of the oculomotor brain network. Lower (beta band) and higher (theta/delta band) FC related to abnormal eye movements. Regional changes were more informative than whole-network measures. Eye movement parameters also related to disability and cognitive dysfunction.
Background Impaired eye movements in multiple sclerosis (MS) are common and could represent a non-invasive and accurate measure of (dys)functioning of interconnected areas within the complex brain network. The aim of this study was to test whether altered saccadic eye movements are related to changes in functional connectivity (FC) in patients with MS. Methods Cross-sectional eye movement (pro-saccades and anti-saccades) and magnetoencephalography (MEG) data from the Amsterdam MS cohort were included from 176 MS patients and 33 healthy controls. FC was calculated between all regions of the Brainnetome atlas in six conventional frequency bands. Cognitive function and disability were evaluated by previously validated measures. The relationships between saccadic parameters and both FC and clinical scores in MS patients were analysed using multivariate linear regression models. Results In MS pro- and anti-saccades were abnormal compared to healthy controls A relationship of saccadic eye movements was found with FC of the oculomotor network, which was stronger for regional than global FC. In general, abnormal eye movements were related to higher delta and theta FC but lower beta FC. Strongest associations were found for pro-saccadic latency and FC of the precuneus (beta band β = -0.23, p = .006), peak velocity and FC of the parietal eye field (theta band β = -0.25, p = .005) and gain and FC of the inferior frontal eye field (theta band β = -0.25, p = .003). Pro-saccadic latency was also strongly associated with disability scores and cognitive dysfunction. Conclusions Impaired saccadic eye movements were related to functional connectivity of the oculomotor network and clinical performance in MS. This study also showed that, in addition to global network connectivity, studying regional changes in MEG studies could yield stronger correlations.
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Affiliation(s)
- J A Nij Bijvank
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Neurology, MS Center and Neuro-ophthalmology Expertise Center, Amsterdam Neuroscience, Amsterdam, the Netherlands; Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Ophthalmology, Neuro-ophthalmology Expertise Center, Amsterdam Neuroscience, Amsterdam, the Netherlands.
| | - E M M Strijbis
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Neurology, MS Center and Neuro-ophthalmology Expertise Center, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - I M Nauta
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Neurology, MS Center and Neuro-ophthalmology Expertise Center, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - S D Kulik
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Anatomy and Neurosciences, Amsterdam, the Netherlands
| | - L J Balk
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Neurology, MS Center and Neuro-ophthalmology Expertise Center, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - C J Stam
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Clinical Neurophysiology and Magnetoencephalography Center, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - A Hillebrand
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Clinical Neurophysiology and Magnetoencephalography Center, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - J J G Geurts
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Anatomy and Neurosciences, Amsterdam, the Netherlands
| | - B M J Uitdehaag
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Neurology, MS Center and Neuro-ophthalmology Expertise Center, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - L J van Rijn
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Ophthalmology, Neuro-ophthalmology Expertise Center, Amsterdam Neuroscience, Amsterdam, the Netherlands; Onze Lieve Vrouwe Gasthuis, Department of Ophthalmology, Amsterdam, the Netherlands
| | - A Petzold
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Neurology, MS Center and Neuro-ophthalmology Expertise Center, Amsterdam Neuroscience, Amsterdam, the Netherlands; Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Ophthalmology, Neuro-ophthalmology Expertise Center, Amsterdam Neuroscience, Amsterdam, the Netherlands; Moorfields Eye Hospital, The National Hospital for Neurology and Neurosurgery and the UCL Queen Square Institute of Neurology, London, United Kingdom
| | - M M Schoonheim
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Anatomy and Neurosciences, Amsterdam, the Netherlands
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21
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Khan H, Sami MB, Litvak V. The utility of Magnetoencephalography in multiple sclerosis - A systematic review. NEUROIMAGE-CLINICAL 2021; 32:102814. [PMID: 34537682 PMCID: PMC8455859 DOI: 10.1016/j.nicl.2021.102814] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 08/28/2021] [Accepted: 08/30/2021] [Indexed: 01/29/2023]
Abstract
We conducted a Systematic Review of studies, looking at 30 studies from 13 centres. MS patients had reduced power in some induced responses (motor beta, visual gamma). Increased latency and reduced connectivity were seen for somatosensory evoked fields. There was an association between upper alpha connectivity and cognitive function. MEG shows promise, although work is too preliminary to recommend current clinical use.
Introduction Magnetoencephalography (MEG), allows for a high degree temporal and spatial accuracy in recording cortical oscillatory activity and evoked fields. To date, no review has been undertaken to synthesise all MEG studies in Multiple Sclerosis (MS). We undertook a Systematic Review of the utility of MEG in MS. Methods We identified MEG studies carried out in MS using EMBASE, Medline, Cochrane, TRIP and Psychinfo databases. We included original research articles with a cohort of minimum of five multiple sclerosis patients and quantifying of at least one MEG parameter. We used a modified version of the JBI (mJBI) for case-control studies to assess for risk of bias. Results We identified 30 studies from 13 centres involving at least 433 MS patients and 347 controls. We found evidence that MEG shows perturbed activity (most commonly reduced power modulations), reduced connectivity and association with altered clinical function in Multiple Sclerosis. Specific replicated findings were decreased motor induced responses in the beta band, diminished increase of gamma power after visual stimulation, increased latency and reduced connectivity for somatosensory evoked fields. There was an association between upper alpha connectivity and cognitive measures in people with MS. Overall studies were of moderate quality (mean mJBI score 6.7). Discussion We find evidence for the utility of MEG in Multiple Sclerosis. Event-related designs are of particular value and show replicability between centres. At this stage, it is not clear whether these changes are specific to Multiple Sclerosis or are also observable in other diseases. Further studies should look to explore cognitive control in more depth using in-task designs and undertake longitudinal studies to determine whether these changes have prognostic value.
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Affiliation(s)
- H Khan
- UCL Queen's Square Institute of Neurology, Queen Square, London WC1N 3BG, United Kingdom; Queen's Medical Centre Nottingham, Clifton Boulevard, Derby Rd, Nottingham NG7 2UH, United Kingdom.
| | - M B Sami
- Institute of Mental Health, Jubilee Campus, University of Nottingham Innovation Park, Triumph Road, Nottingham NG7 2TU, United Kingdom
| | - V Litvak
- UCL Queen's Square Institute of Neurology, Queen Square, London WC1N 3BG, United Kingdom
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22
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Langdon DW, Tomic D, Penner IK, Calabrese P, Cutter G, Häring DA, Dahlke F, Kappos L. Baseline characteristics and effects of fingolimod on cognitive performance in patients with relapsing-remitting multiple sclerosis. Eur J Neurol 2021; 28:4135-4145. [PMID: 34431170 PMCID: PMC9292292 DOI: 10.1111/ene.15081] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Revised: 08/04/2021] [Accepted: 08/07/2021] [Indexed: 11/28/2022]
Abstract
Background and purpose Studies reporting the baseline determinants of cognitive performance and treatment effect on cognition in patients with multiple sclerosis (MS) are limited. We investigated the baseline correlates of cognition and the long‐term treatment effects of fingolimod 0.5 mg once daily on cognitive processing speed and attention in patients with relapsing‐remitting MS. Methods This post hoc analysis pooled data from the phase 3 FREEDOMS and FREEDOMS II trials (N = 1556). We assessed the correlation between baseline patient demographic and disease characteristics and baseline 3‐second Paced Auditory Serial Addition Test (PASAT‐3) scores (Spearman's rank test) and the changes from baseline in PASAT‐3 (mixed model repeated measures model) in the fingolimod and placebo (up to 24 months) or placebo‐fingolimod switched (from Month 24 up to 120 months) groups. Additionally, the predictive value of PASAT‐3 score for future disease outcomes was assessed (Cox or logistic regression models). Results Among the variables assessed, lower PASAT‐3 score at baseline correlated with higher disease burden (total brain volume, T2 lesion volume, and Expanded Disability Status Scale score), longer disease duration and older age (p < 0.0001 for all). Fingolimod significantly improved PASAT‐3 scores from baseline versus placebo at 6 (1.3; p = 0.0007), 12 (1.1; p = 0.0044) and 24 months (1.1; p = 0.0028), with a sustained effect (overall treatment effect p = 0.0012) up to 120 months. Improvements were seen regardless of baseline cognitive status (PASAT quartile). Baseline PASAT‐3 score was predictive of both clinical and magnetic resonance imaging measures of disease activity at Month 24 (p < 0.001 for all). Conclusion Early fingolimod treatment may offer long‐term cognitive benefit in patients with relapsing‐remitting MS.
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Affiliation(s)
- Dawn W Langdon
- Department of Psychology, Royal Holloway, University of London, Egham, UK
| | | | - Iris-Katharina Penner
- Medical Faculty, Department of Neurology, Heinrich Heine University, Düsseldorf, Germany.,COGITO Center for Applied Neurocognition and Neuropsychological Research, Düsseldorf, Germany
| | - Pasquale Calabrese
- Neuropsychology and Behavioral Neurology Unit, Division of Cognitive and Molecular Neuroscience, University of Basel, Switzerland
| | - Gary Cutter
- Department of Biostatistics, University of Alabama, Birmingham, AL, USA
| | | | | | - Ludwig Kappos
- Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB) and MS Center, Neurology, Departments of Head, Spine and Neuromedicine and Clinical Research, University Hospital and University of Basel, Spitalstrasse 2, Basel, Schweiz, 4031, Switzerland
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23
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Baetge SJ, Dietrich M, Filser M, Renner A, Stute N, Gasis M, Weise M, Lepka K, Graf J, Goebels N, Hartung HP, Aktas O, Meuth S, Albrecht P, Penner IK. Association of Retinal Layer Thickness With Cognition in Patients With Multiple Sclerosis. NEUROLOGY-NEUROIMMUNOLOGY & NEUROINFLAMMATION 2021; 8:8/4/e1018. [PMID: 34045307 PMCID: PMC8161541 DOI: 10.1212/nxi.0000000000001018] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Accepted: 04/13/2021] [Indexed: 01/04/2023]
Abstract
Objective Retinal layer thickness (RLT) measured by optical coherence tomography (OCT) is considered a noninvasive, cost-efficient marker of neurodegeneration in multiple sclerosis (MS). We aimed to investigate associations of RLT with cognitive performance and its potential as indicator of cognitive status in patients with MS by performing generalized estimating equation (GEE) analyses. Methods In this cross-sectional study, patients with at least mild signs of cognitive impairment were examined by OCT as well as by the Brief International Cognitive Assessment for MS and tests assessing attention and executive functions (Trail Making Test [TMT] A and B). Associations of these factors were investigated using GEE models controlling for demographic and disease-related factors and correcting for multiple testing. Results A total of 64 patients entered the study. In the final sample (n = 50 [n = 14 excluded due to missing data or drop-outs]; n = 44 relapsing-remitting MS and n = 6 secondary progressive MS, mean Expanded Disability Status Scale score = 2.59 [SD = 1.17], disease duration [median] = 7.34 [interquartile range = 12.1]), 36.0% were cognitively impaired. RLT of the macular retinal nerve fiber layer was associated with performance in TMT-B (β = −0.259). Analyses focusing on the upper and lower tertile of RLT additionally revealed associations between macular ganglion cell-inner plexiform layer and TMT-B and verbal short-term memory and learning, respectively. Conclusion In patients with MS, at less advanced disease stages, RLT was especially associated with cognitive flexibility promoting OCT as a potential marker advocating further extensive neuropsychological examination.
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Affiliation(s)
- Sharon Jean Baetge
- From the Cogito Center for Applied Neurocognition and Neuropsychological Research (S.J.B., M.F., A.R., N.S., I.-K.P.); Department of Neurology (M.D., M.G., M.W., K.L., J.G., N.G., H.-P.H., O.A., S.M., P.A., I.-K.P.), Medical Faculty, Heinrich Heine University, Düsseldorf, Germany; Brain and Mind Centre (H.-P.H.), Department of Neurology, University of Sydney; and Department of Neurology (H.-P.H.), Medical University of Vienna, Austria
| | - Michael Dietrich
- From the Cogito Center for Applied Neurocognition and Neuropsychological Research (S.J.B., M.F., A.R., N.S., I.-K.P.); Department of Neurology (M.D., M.G., M.W., K.L., J.G., N.G., H.-P.H., O.A., S.M., P.A., I.-K.P.), Medical Faculty, Heinrich Heine University, Düsseldorf, Germany; Brain and Mind Centre (H.-P.H.), Department of Neurology, University of Sydney; and Department of Neurology (H.-P.H.), Medical University of Vienna, Austria
| | - Melanie Filser
- From the Cogito Center for Applied Neurocognition and Neuropsychological Research (S.J.B., M.F., A.R., N.S., I.-K.P.); Department of Neurology (M.D., M.G., M.W., K.L., J.G., N.G., H.-P.H., O.A., S.M., P.A., I.-K.P.), Medical Faculty, Heinrich Heine University, Düsseldorf, Germany; Brain and Mind Centre (H.-P.H.), Department of Neurology, University of Sydney; and Department of Neurology (H.-P.H.), Medical University of Vienna, Austria
| | - Alina Renner
- From the Cogito Center for Applied Neurocognition and Neuropsychological Research (S.J.B., M.F., A.R., N.S., I.-K.P.); Department of Neurology (M.D., M.G., M.W., K.L., J.G., N.G., H.-P.H., O.A., S.M., P.A., I.-K.P.), Medical Faculty, Heinrich Heine University, Düsseldorf, Germany; Brain and Mind Centre (H.-P.H.), Department of Neurology, University of Sydney; and Department of Neurology (H.-P.H.), Medical University of Vienna, Austria
| | - Nathalie Stute
- From the Cogito Center for Applied Neurocognition and Neuropsychological Research (S.J.B., M.F., A.R., N.S., I.-K.P.); Department of Neurology (M.D., M.G., M.W., K.L., J.G., N.G., H.-P.H., O.A., S.M., P.A., I.-K.P.), Medical Faculty, Heinrich Heine University, Düsseldorf, Germany; Brain and Mind Centre (H.-P.H.), Department of Neurology, University of Sydney; and Department of Neurology (H.-P.H.), Medical University of Vienna, Austria
| | - Marcia Gasis
- From the Cogito Center for Applied Neurocognition and Neuropsychological Research (S.J.B., M.F., A.R., N.S., I.-K.P.); Department of Neurology (M.D., M.G., M.W., K.L., J.G., N.G., H.-P.H., O.A., S.M., P.A., I.-K.P.), Medical Faculty, Heinrich Heine University, Düsseldorf, Germany; Brain and Mind Centre (H.-P.H.), Department of Neurology, University of Sydney; and Department of Neurology (H.-P.H.), Medical University of Vienna, Austria
| | - Margit Weise
- From the Cogito Center for Applied Neurocognition and Neuropsychological Research (S.J.B., M.F., A.R., N.S., I.-K.P.); Department of Neurology (M.D., M.G., M.W., K.L., J.G., N.G., H.-P.H., O.A., S.M., P.A., I.-K.P.), Medical Faculty, Heinrich Heine University, Düsseldorf, Germany; Brain and Mind Centre (H.-P.H.), Department of Neurology, University of Sydney; and Department of Neurology (H.-P.H.), Medical University of Vienna, Austria
| | - Klaudia Lepka
- From the Cogito Center for Applied Neurocognition and Neuropsychological Research (S.J.B., M.F., A.R., N.S., I.-K.P.); Department of Neurology (M.D., M.G., M.W., K.L., J.G., N.G., H.-P.H., O.A., S.M., P.A., I.-K.P.), Medical Faculty, Heinrich Heine University, Düsseldorf, Germany; Brain and Mind Centre (H.-P.H.), Department of Neurology, University of Sydney; and Department of Neurology (H.-P.H.), Medical University of Vienna, Austria
| | - Jonas Graf
- From the Cogito Center for Applied Neurocognition and Neuropsychological Research (S.J.B., M.F., A.R., N.S., I.-K.P.); Department of Neurology (M.D., M.G., M.W., K.L., J.G., N.G., H.-P.H., O.A., S.M., P.A., I.-K.P.), Medical Faculty, Heinrich Heine University, Düsseldorf, Germany; Brain and Mind Centre (H.-P.H.), Department of Neurology, University of Sydney; and Department of Neurology (H.-P.H.), Medical University of Vienna, Austria
| | - Norbert Goebels
- From the Cogito Center for Applied Neurocognition and Neuropsychological Research (S.J.B., M.F., A.R., N.S., I.-K.P.); Department of Neurology (M.D., M.G., M.W., K.L., J.G., N.G., H.-P.H., O.A., S.M., P.A., I.-K.P.), Medical Faculty, Heinrich Heine University, Düsseldorf, Germany; Brain and Mind Centre (H.-P.H.), Department of Neurology, University of Sydney; and Department of Neurology (H.-P.H.), Medical University of Vienna, Austria
| | - Hans-Peter Hartung
- From the Cogito Center for Applied Neurocognition and Neuropsychological Research (S.J.B., M.F., A.R., N.S., I.-K.P.); Department of Neurology (M.D., M.G., M.W., K.L., J.G., N.G., H.-P.H., O.A., S.M., P.A., I.-K.P.), Medical Faculty, Heinrich Heine University, Düsseldorf, Germany; Brain and Mind Centre (H.-P.H.), Department of Neurology, University of Sydney; and Department of Neurology (H.-P.H.), Medical University of Vienna, Austria
| | - Orhan Aktas
- From the Cogito Center for Applied Neurocognition and Neuropsychological Research (S.J.B., M.F., A.R., N.S., I.-K.P.); Department of Neurology (M.D., M.G., M.W., K.L., J.G., N.G., H.-P.H., O.A., S.M., P.A., I.-K.P.), Medical Faculty, Heinrich Heine University, Düsseldorf, Germany; Brain and Mind Centre (H.-P.H.), Department of Neurology, University of Sydney; and Department of Neurology (H.-P.H.), Medical University of Vienna, Austria
| | - Sven Meuth
- From the Cogito Center for Applied Neurocognition and Neuropsychological Research (S.J.B., M.F., A.R., N.S., I.-K.P.); Department of Neurology (M.D., M.G., M.W., K.L., J.G., N.G., H.-P.H., O.A., S.M., P.A., I.-K.P.), Medical Faculty, Heinrich Heine University, Düsseldorf, Germany; Brain and Mind Centre (H.-P.H.), Department of Neurology, University of Sydney; and Department of Neurology (H.-P.H.), Medical University of Vienna, Austria
| | - Philipp Albrecht
- From the Cogito Center for Applied Neurocognition and Neuropsychological Research (S.J.B., M.F., A.R., N.S., I.-K.P.); Department of Neurology (M.D., M.G., M.W., K.L., J.G., N.G., H.-P.H., O.A., S.M., P.A., I.-K.P.), Medical Faculty, Heinrich Heine University, Düsseldorf, Germany; Brain and Mind Centre (H.-P.H.), Department of Neurology, University of Sydney; and Department of Neurology (H.-P.H.), Medical University of Vienna, Austria
| | - Iris-Katharina Penner
- From the Cogito Center for Applied Neurocognition and Neuropsychological Research (S.J.B., M.F., A.R., N.S., I.-K.P.); Department of Neurology (M.D., M.G., M.W., K.L., J.G., N.G., H.-P.H., O.A., S.M., P.A., I.-K.P.), Medical Faculty, Heinrich Heine University, Düsseldorf, Germany; Brain and Mind Centre (H.-P.H.), Department of Neurology, University of Sydney; and Department of Neurology (H.-P.H.), Medical University of Vienna, Austria.
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24
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Farghaly M, Langdon DW, Shalaby NM, Shehata HS, Abokrysha NT, Hassan A, Hegazy MI, Elmazny A, Ahmed S, Shaheen S, Othman AS, Yacoub O, Kishk NA. Reliability and validity of Arabic version of the brief international cognitive assessment for multiple sclerosis: Egyptian dialect. THE EGYPTIAN JOURNAL OF NEUROLOGY, PSYCHIATRY AND NEUROSURGERY 2021. [DOI: 10.1186/s41983-021-00303-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023] Open
Abstract
Abstract
Background
Given the diversity of multiple sclerosis (MS) symptoms including cognitive impairment in certain domains, the need to develop a rapid and at the same time thorough tool for cognitive assessment is mandatory and represents an unmet need in the clinical and research fields of MS. The Brief International Cognitive Assessment for MS (BICAMS) is a good and practical tool to achieve this mission but is not present in the Arabic language for Arabic speaking countries yet.
Objectives
To assess the reliability and validity of Arabic version of the BICAMS (Egyptian dialect).
Methods
Ninety Egyptian MS patients and 85 matched healthy controls underwent neuropsychological testing using the BICAMS Arabic version (Egyptian dialect) battery including the Symbol Digit Modality Test (SDMT), California Verbal Learning Test 2nd edition (CVLT-II), and revised Brief Visuospatial Retention Test- (BVRT-R). Test–retest data were obtained from MS patients 2 weeks after the initial assessment. Mean differences between both groups were assessed controlling for age, gender, and educational level.
Results
The MS patients scored significantly lower on the SDMT, CVLT-II, and BVMT-R tests compared to healthy controls (p<0.001). For MS patients’ group, intra-observer (test–retest) reliability was satisfactory for SDMT, CVLT-II total, and BVRT-R total with r values of 0.85, 0.61, and 0.68, respectively.
Conclusion
BICAMS Arabic version is a reliable and valid tool for cognitive assessment of Arabic speaking MS patients in different clinical and research settings.
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25
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De Meo E, Portaccio E, Giorgio A, Ruano L, Goretti B, Niccolai C, Patti F, Chisari CG, Gallo P, Grossi P, Ghezzi A, Roscio M, Mattioli F, Stampatori C, Simone M, Viterbo RG, Bonacchi R, Rocca MA, De Stefano N, Filippi M, Amato MP. Identifying the Distinct Cognitive Phenotypes in Multiple Sclerosis. JAMA Neurol 2021; 78:414-425. [PMID: 33393981 DOI: 10.1001/jamaneurol.2020.4920] [Citation(s) in RCA: 89] [Impact Index Per Article: 29.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Importance Cognitive impairment is a common and disabling feature of multiple sclerosis (MS), but a precise characterization of cognitive phenotypes in patients with MS is lacking. Objectives To identify cognitive phenotypes in a clinical cohort of patients with MS and to characterize their clinical and magnetic resonance imaging (MRI) features. Design, Setting, and Participants This multicenter cross-sectional study consecutively screened clinically stable patients with MS and healthy control individuals at 8 MS centers in Italy from January 1, 2010, to October 31, 2019. Patients with MS and healthy control individuals who were not using psychoactive drugs and had no history of other neurological or medical disorders, learning disability, severe head trauma, and alcohol or drug abuse were enrolled. Main Outcomes and Measures Participants underwent a neurological examination and a cognitive evaluation with the Rao Brief Repeatable Battery and Stroop Color and Word Test. A subgroup of participants also underwent a brain MRI examination. Latent profile analysis was used on cognitive test z scores to identify cognitive phenotypes. Linear regression and mixed-effects models were used to define clinical and MRI features of each phenotype. Results A total of 1212 patients with MS (mean [SD] age, 41.1 [11.1] years; 784 women [64.7%]) and 196 healthy control individuals (mean [SD] age, 40.4 [8.6] years; 130 women [66.3%]) were analyzed in this study. Five cognitive phenotypes were identified: preserved cognition (n = 235 patients [19.4%]), mild-verbal memory/semantic fluency (n = 362 patients [29.9%]), mild-multidomain (n = 236 patients [19.5%]), severe-executive/attention (n = 167 patients [13.8%]), and severe-multidomain (n = 212 patients [17.5%]) involvement. Patients with preserved cognition and mild-verbal memory/semantic fluency were younger (mean [SD] age, 36.5 [9.8] years and 38.2 [11.1] years) and had shorter disease duration (mean [SD] 8.0 [7.3] years and 8.3 [7.6] years) compared with patients with mild-multidomain (mean [SD] age, 42.6 [11.2] years; mean [SD] disease duration, 12.8 [9.6] years; P < .001), severe-executive/attention (mean [SD] age, 42.9 [11.7] years; mean [SD] disease duration, 12.2 [9.5] years; P < .001), and severe-multidomain (mean [SD] age, 44.0 [11.0] years; mean [SD] disease duration, 13.3 [10.2] years; P < .001) phenotypes. Severe cognitive phenotypes prevailed in patients with progressive MS. At MRI evaluation, compared with those with preserved cognition, patients with mild-verbal memory/semantic fluency exhibited decreased mean (SE) hippocampal volume (5.42 [0.68] mL vs 5.13 [0.68] mL; P = .04), patients with the mild-multidomain phenotype had decreased mean (SE) cortical gray matter volume (687.69 [35.40] mL vs 662.59 [35.48] mL; P = .02), patients with severe-executive/attention had higher mean (SE) T2-hyperintense lesion volume (51.33 [31.15] mL vs 99.69 [34.07] mL; P = .04), and patients with the severe-multidomain phenotype had extensive brain damage, with decreased volume in all the brain structures explored, except for nucleus pallidus, amygdala and caudate nucleus. Conclusions and Relevance This study found that by defining homogeneous and clinically meaningful phenotypes, the limitations of the traditional dichotomous classification in MS can be overcome. These phenotypes can represent a more meaningful measure of the cognitive status of patients with MS and can help define clinical disability, support clinicians in treatment choices, and tailor cognitive rehabilitation strategies.
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Affiliation(s)
- Ermelinda De Meo
- Neuroimaging Research Unit, Division of Neuroscience, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) San Raffaele Scientific Institute, Milan, Italy.,Institute of Experimental Neurology, Vita-Salute San Raffaele University, Milan, Italy.,Section Neurosciences, Dipartimento di Neuroscienze, Psicologia, Area del Farmaco e Salute del Bambino, University of Florence, Florence, Italy
| | - Emilio Portaccio
- Department of Neurology, Azienda Ospedaliero-Universitaria Careggi, Florence, Italy.,Department of Neurorehabilitation, IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Antonio Giorgio
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Luis Ruano
- EPIUnit, Instituto de Saúde Pública de Universidade do Porto, Porto, Portugal.,Neurology Department, Centro Hospitalar de Entre Douro e Vouga, Santa Maria da Feira, Portugal
| | - Benedetta Goretti
- Section Neurosciences, Dipartimento di Neuroscienze, Psicologia, Area del Farmaco e Salute del Bambino, University of Florence, Florence, Italy
| | - Claudia Niccolai
- Department of Neurorehabilitation, IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Francesco Patti
- Department of Neurology, University of Catania, Catania, Italy
| | | | - Paolo Gallo
- Department of Neurology, University of Padova, Padova, Italy
| | - Paola Grossi
- Neuroimmunology Center, Cardiocerebrovascular, Azienda Socio Sanitaria Territoriale (ASST) of Crema, Crema, Italy
| | | | | | - Flavia Mattioli
- Neuropsychology Unit, ASST Spedali Civili Brescia, Brescia, Italy
| | | | - Marta Simone
- Child and Adolescence Neuropsychiatry Unit, Department of Basic Medical Sciences, Neuroscience and Sense Organs University Aldo Moro Bari, Bari, Italy
| | - Rosa Gemma Viterbo
- Child and Adolescence Neuropsychiatry Unit, Department of Basic Medical Sciences, Neuroscience and Sense Organs University Aldo Moro Bari, Bari, Italy
| | - Raffaello Bonacchi
- Neuroimaging Research Unit, Division of Neuroscience, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) San Raffaele Scientific Institute, Milan, Italy.,Institute of Experimental Neurology, Vita-Salute San Raffaele University, Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Maria A Rocca
- Neuroimaging Research Unit, Division of Neuroscience, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) San Raffaele Scientific Institute, Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Nicola De Stefano
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) San Raffaele Scientific Institute, Milan, Italy.,Institute of Experimental Neurology, Vita-Salute San Raffaele University, Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurophysiology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Maria Pia Amato
- Section Neurosciences, Dipartimento di Neuroscienze, Psicologia, Area del Farmaco e Salute del Bambino, University of Florence, Florence, Italy.,Department of Neurorehabilitation, IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
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26
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Winter M, Tallantyre EC, Brice TAW, Robertson NP, Jones DK, Chamberland M. Tract-specific MRI measures explain learning and recall differences in multiple sclerosis. Brain Commun 2021; 3:fcab065. [PMID: 33959710 PMCID: PMC8088789 DOI: 10.1093/braincomms/fcab065] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Revised: 02/07/2021] [Accepted: 03/01/2021] [Indexed: 12/19/2022] Open
Abstract
Cognitive difficulties are common and a key concern for people with multiple sclerosis. Advancing knowledge of the role of white matter pathology in multiple sclerosis-related cognitive impairment is essential as both occur early in the disease with implications for early intervention. Consequently, this cross-sectional study asked whether quantifying the relationships between lesions and specific white matter structures could better explain co-existing cognitive differences than whole brain imaging measures. Forty participants with relapse-onset multiple sclerosis underwent cognitive testing and MRI at 3 Tesla. They were classified as cognitively impaired (n = 24) or unimpaired (n = 16) and differed across verbal fluency, learning and recall tasks corrected for intelligence and education (corrected P-values = 0.007-0.04). The relationships between lesions and white matter were characterized across six measures: conventional voxel-based T2 lesion load, whole brain tractogram load (lesioned volume/whole tractogram volume), whole bundle volume, bundle load (lesioned volume/whole bundle volume), Tractometry (diffusion-tensor and high angular resolution diffusion measures sampled from all bundle streamlines) and lesionometry (diffusion measures sampled from streamlines traversing lesions only). The tract-specific measures were extracted from corpus callosum segments (genu and isthmus), striato-prefrontal and -parietal pathways, and the superior longitudinal fasciculi (sections I, II and III). White matter measure-task associations demonstrating at least moderate evidence against the null hypothesis (Bayes Factor threshold < 0.2) were examined using independent t-tests and covariate analyses (significance level P < 0.05). Tract-specific measures were significant predictors (all P-values < 0.05) of task-specific clinical scores and diminished the significant effect of group as a categorical predictor in Story Recall (isthmus bundle load), Figure Recall (right striato-parietal lesionometry) and Design Learning (left superior longitudinal fasciculus III volume). Lesion load explained the difference in List Learning, whereas Letter Fluency was not associated with any of the imaging measures. Overall, tract-specific measures outperformed the global lesion and tractogram load measures. Variation in regional lesion burden translated to group differences in tract-specific measures, which in turn, attenuated differences in individual cognitive tasks. The structural differences converged in temporo-parietal regions with particular influence on tasks requiring visuospatial-constructional processing. We highlight that measures quantifying the relationships between tract-specific structure and multiple sclerosis lesions uncovered associations with cognition masked by overall tract volumes and global lesion and tractogram loads. These tract-specific white matter quantifications show promise for elucidating the relationships between neuropathology and cognition in multiple sclerosis.
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Affiliation(s)
- Mia Winter
- Department of Clinical Neuropsychology, University Hospital of Wales, Cardiff, CF14 4XW, UK
- Cardiff University Brain Research Imaging Centre, Cardiff University, Cardiff, CF24 4HQ, UK
| | - Emma C Tallantyre
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University School of Medicine, Cardiff, CF14 4XN, UK
- Helen Durham Centre for Neuroinflammation, University Hospital of Wales, Cardiff, CF14 4XW, UK
| | - Thomas A W Brice
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University School of Medicine, Cardiff, CF14 4XN, UK
| | - Neil P Robertson
- Division of Psychological Medicine and Clinical Neurosciences, Cardiff University School of Medicine, Cardiff, CF14 4XN, UK
- Helen Durham Centre for Neuroinflammation, University Hospital of Wales, Cardiff, CF14 4XW, UK
| | - Derek K Jones
- Cardiff University Brain Research Imaging Centre, Cardiff University, Cardiff, CF24 4HQ, UK
- Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria 3000, Australia
| | - Maxime Chamberland
- Cardiff University Brain Research Imaging Centre, Cardiff University, Cardiff, CF24 4HQ, UK
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27
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Imrich R, Vlcek M, Penesova A, Radikova Z, Havranova A, Sivakova M, Siarnik P, Kollar B, Sokolov T, Turcani P, Heckova E, Hangel G, Strasser B, Bogner W. Cardiac autonomic function in patients with early multiple sclerosis. Clin Auton Res 2021; 31:553-562. [PMID: 33665745 DOI: 10.1007/s10286-021-00790-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Accepted: 02/19/2021] [Indexed: 11/29/2022]
Abstract
PURPOSE Cardiac autonomic dysfunction has been reported in patients with long-standing multiple sclerosis (MS); however, data in early disease are limited. The present study was aimed at evaluating cardiac autonomic function in patients with early MS in the context of white matter metabolic status, which could potentially affect functions of the autonomic brain centers. METHODS Cardiac sympathetic and baroreflex cardiovagal responses to the Valsalva maneuver, orthostatic test, and the Stroop test were evaluated in 16 early, treatment-naïve patients with relapsing-remitting MS, and in 14 healthy participants. Proton magnetic resonance spectroscopic imaging (MRSI) of the brain was performed in eight of these MS patients and in eight controls. RESULTS Valsalva maneuver outcomes were comparable between patients and controls. At baseline, norepinephrine levels were lower (p = 0.027) in MS patients compared to controls. The patients had higher heart rate (p = 0.034) and lower stroke volume (p = 0.008), but similar blood pressure, cardiac output and norepinephrine increments from baseline to 2 min of the orthostatic test compared to controls. MS patients and controls did not differ in responses to the Stroop test. MRSI showed lower total N-acetylaspartate/total creatine (p = 0.038) and higher myo-inositol/total creatine (p = 0.013) in MS lesions compared to non-lesional white matter. CONCLUSION Our results show normal cardiac sympathetic and baroreflex cardiovagal function in MS patients with relapsing-remitting MS with lesions at the post-acute/early resolving stage. TRIAL REGISTRATION The study was registered at ClinicalTrials.gov under the Identifier: NCT03052595 and complies with the STROBE checklist for cohort, case-control, and cross-sectional studies.
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Affiliation(s)
- Richard Imrich
- Institute of Clinical and Translational Research, Biomedical Research Center, Slovak Academy of Sciences, Dúbravská cesta 9, 84505, Bratislava, Slovakia.
| | - Miroslav Vlcek
- Institute of Clinical and Translational Research, Biomedical Research Center, Slovak Academy of Sciences, Dúbravská cesta 9, 84505, Bratislava, Slovakia.,Faculty of Medicine, Slovak Medical University in Bratislava, Bratislava, Slovakia
| | - Adela Penesova
- Institute of Clinical and Translational Research, Biomedical Research Center, Slovak Academy of Sciences, Dúbravská cesta 9, 84505, Bratislava, Slovakia
| | - Zofia Radikova
- Institute of Clinical and Translational Research, Biomedical Research Center, Slovak Academy of Sciences, Dúbravská cesta 9, 84505, Bratislava, Slovakia
| | - Andrea Havranova
- Institute of Clinical and Translational Research, Biomedical Research Center, Slovak Academy of Sciences, Dúbravská cesta 9, 84505, Bratislava, Slovakia
| | - Monika Sivakova
- 1St Department of Neurology, Faculty of Medicine, Comenius University, Bratislava, Slovakia
| | - Pavel Siarnik
- 1St Department of Neurology, Faculty of Medicine, Comenius University, Bratislava, Slovakia
| | - Branislav Kollar
- 1St Department of Neurology, Faculty of Medicine, Comenius University, Bratislava, Slovakia
| | | | - Peter Turcani
- 1St Department of Neurology, Faculty of Medicine, Comenius University, Bratislava, Slovakia
| | - Eva Heckova
- High Field MR Centre, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Gilbert Hangel
- High Field MR Centre, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Bernhard Strasser
- High Field MR Centre, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Wolfgang Bogner
- High Field MR Centre, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
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28
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Dežmalj Grbelja L, Mikula I, Ćorić L, Stojić M, Demarin V. THE VALUE OF BLINK REFLEX IN EARLY DIAGNOSIS OF MULTIPLE SCLEROSIS. Acta Clin Croat 2021; 60:10-15. [PMID: 34588716 PMCID: PMC8305361 DOI: 10.20471/acc.2021.60.01.02] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2018] [Accepted: 07/22/2019] [Indexed: 11/25/2022] Open
Abstract
The aim was to determine differences of blink reflex in clinically definite multiple sclerosis (CDMS) and clinically isolated syndrome (CIS) in patients presented with symptoms and signs of brainstem impairment. The study included 20 patients diagnosed with CDMS, 20 with CIS, and 20 healthy controls. We recorded latencies of early (R1) and late component ipsilaterally (R2) and contralaterally (R2’), and occurrence of irritative component (R3). We analyzed data on sex, age, signs of brainstem impairment and magnetic resonance imaging (MRI) findings for the presence of brainstem demyelinating lesions. There was no statistically significant difference between patient groups according to sex, age, symptoms of brainstem involvement and MRI findings. There was no statistically significant difference in R1 component latencies and R2 latencies on the right side. Latencies of R2 on the left and R2’ on the right were statistically longer in CDMS group. There was no difference in the appearance of R3 component. In conclusion, blink reflex was found to be a very sensitive and useful diagnostic tool in the assessment of brainstem structures, especially because abnormalities are seen not only in CDMS but also in CIS. Slowing of the late component as a sign of dysfunction in the efferent part of the reflex arc is not very specific but is a highly sensitive finding.
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Affiliation(s)
| | - Ivan Mikula
- 1Department of Neurology, Sestre milosrdnice University Hospital Centre, Zagreb, Croatia; 2Sveta Katarina Polyclinic, Zagreb, Croatia; 3Department of Neurology, Dubrava University Hospital, Zagreb, Croatia; 4Croatian Academy of Sciences and Arts, Zagreb, Croatia
| | - Lejla Ćorić
- 1Department of Neurology, Sestre milosrdnice University Hospital Centre, Zagreb, Croatia; 2Sveta Katarina Polyclinic, Zagreb, Croatia; 3Department of Neurology, Dubrava University Hospital, Zagreb, Croatia; 4Croatian Academy of Sciences and Arts, Zagreb, Croatia
| | - Maristela Stojić
- 1Department of Neurology, Sestre milosrdnice University Hospital Centre, Zagreb, Croatia; 2Sveta Katarina Polyclinic, Zagreb, Croatia; 3Department of Neurology, Dubrava University Hospital, Zagreb, Croatia; 4Croatian Academy of Sciences and Arts, Zagreb, Croatia
| | - Vida Demarin
- 1Department of Neurology, Sestre milosrdnice University Hospital Centre, Zagreb, Croatia; 2Sveta Katarina Polyclinic, Zagreb, Croatia; 3Department of Neurology, Dubrava University Hospital, Zagreb, Croatia; 4Croatian Academy of Sciences and Arts, Zagreb, Croatia
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29
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Nij Bijvank JA, Sánchez Aliaga E, Balk LJ, Coric D, Davagnanam I, Tan HS, Uitdehaag BMJ, van Rijn LJ, Petzold A. A model for interrogating the clinico-radiological paradox in multiple sclerosis: Internuclear ophthalmoplegia. Eur J Neurol 2021; 28:1617-1626. [PMID: 33426786 PMCID: PMC8248033 DOI: 10.1111/ene.14723] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 12/15/2020] [Accepted: 12/17/2020] [Indexed: 11/26/2022]
Abstract
Background and purpose The clinico‐radiological paradox in multiple sclerosis (MS) is well recognized, relevant and yet poorly understood. The suitability of an in vivo model for the clinico‐radiological paradox was tested, using internuclear ophthalmoplegia (INO) and the medial longitudinal fasciculus (MLF). Methods In this cross‐sectional study lesions of the MLF were rated by an experienced MS neuroradiologist blinded to all other information. The presence of an INO was objectively determined by a validated infrared oculography protocol (DEMoNS). Clinical information, including the National Eye Institute Visual Function Questionnaire, was obtained. Results This study included 202 patients with MS. The clinico‐radiological paradox occurred in 50 patients (25%). This consisted of 45 patients having an INO without an MLF lesion and five patients with an MLF lesion but without an INO. The visual function overall score was related to the presence of an INO (p = 0.016), but not to MLF lesions seen on magnetic resonance imaging (MRI) (p = 0.207). A consensus list of potential causes for the clinico‐radiological paradox was compiled and the MRI images were deposited in a repository. Conclusion This study provides an objective and quantitative model to investigate the clinico‐radiological paradox. Our data suggest that pathology of the MLF is more frequently detected and more clinically relevant by infrared oculography than by MLF lesion rating on MRI.
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Affiliation(s)
- Jenny A Nij Bijvank
- Department of Neurology, MS Center and Neuro-ophthalmology Expertise Center, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Department of Ophthalmology, Neuro-ophthalmology Expertise Center, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Esther Sánchez Aliaga
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Lisanne J Balk
- Department of Neurology, MS Center and Neuro-ophthalmology Expertise Center, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Danko Coric
- Department of Neurology, MS Center and Neuro-ophthalmology Expertise Center, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Indran Davagnanam
- National Hospital for Neurology and Neurosurgery, Queen Square Institute of Neurology, Moorfields Eye Hospital, UCL, London, UK
| | - H Stevie Tan
- Department of Ophthalmology, Neuro-ophthalmology Expertise Center, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Bernard M J Uitdehaag
- Department of Neurology, MS Center and Neuro-ophthalmology Expertise Center, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Laurentius J van Rijn
- Department of Ophthalmology, Neuro-ophthalmology Expertise Center, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Department of Ophthalmology, Onze Lieve Vrouwe Gasthuis, Amsterdam, The Netherlands
| | - Axel Petzold
- Department of Neurology, MS Center and Neuro-ophthalmology Expertise Center, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Department of Ophthalmology, Neuro-ophthalmology Expertise Center, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,National Hospital for Neurology and Neurosurgery, Queen Square Institute of Neurology, Moorfields Eye Hospital, UCL, London, UK
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Gaetani L, Salvadori N, Chipi E, Gentili L, Borrelli A, Parnetti L, Di Filippo M. Cognitive impairment in multiple sclerosis: lessons from cerebrospinal fluid biomarkers. Neural Regen Res 2021; 16:36-42. [PMID: 32788445 PMCID: PMC7818856 DOI: 10.4103/1673-5374.286949] [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: 11/16/2022] Open
Abstract
Cognitive impairment is a common clinical manifestation of multiple sclerosis, but its pathophysiology is not completely understood. White and grey matter injury together with synaptic dysfunction do play a role. The measurement of biomarkers in the cerebrospinal fluid and the study of their association with cognitive impairment may provide interesting in vivo evidence of the biological mechanisms underlying multiple sclerosis-related cognitive impairment. So far, only a few studies on this topic have been published, giving interesting results that deserve further investigation. Cerebrospinal fluid biomarkers of different pathophysiological mechanisms seem to reflect different neuropsychological patterns of cognitive deficits in multiple sclerosis. The aim of this review is to discuss the studies that have correlated cerebrospinal fluid markers of immune, glial and neuronal pathology with cognitive impairment in multiple sclerosis. Although preliminary, these findings suggest that cerebrospinal fluid biomarkers show some correlation with cognitive performance in multiple sclerosis, thus providing interesting insights into the mechanisms underlying the involvement of specific cognitive domains.
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Affiliation(s)
- Lorenzo Gaetani
- Section of Neurology, Department of Medicine, University of Perugia, Perugia, Italy
| | - Nicola Salvadori
- Section of Neurology, Department of Medicine, University of Perugia, Perugia, Italy
| | - Elena Chipi
- Section of Neurology, Department of Medicine, University of Perugia, Perugia, Italy
| | - Lucia Gentili
- Section of Neurology, Department of Medicine, University of Perugia, Perugia, Italy
| | - Angela Borrelli
- Section of Neurology, Department of Medicine, University of Perugia, Perugia, Italy
| | - Lucilla Parnetti
- Section of Neurology, Department of Medicine, University of Perugia, Perugia, Italy
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31
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Brune S, Høgestøl EA, Cengija V, Berg-Hansen P, Sowa P, Nygaard GO, Harbo HF, Beyer MK. LesionQuant for Assessment of MRI in Multiple Sclerosis-A Promising Supplement to the Visual Scan Inspection. Front Neurol 2020; 11:546744. [PMID: 33362682 PMCID: PMC7759639 DOI: 10.3389/fneur.2020.546744] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2020] [Accepted: 11/23/2020] [Indexed: 11/17/2022] Open
Abstract
Background and Goals: Multiple sclerosis (MS) is a central nervous system inflammatory disease where magnetic resonance imaging (MRI) is an important tool for diagnosis and disease monitoring. Quantitative measurements of lesion volume, lesion count, distribution of lesions, and brain atrophy have a potentially significant value for evaluating disease progression. We hypothesize that utilizing software designed for evaluating MRI data in MS will provide more accurate and detailed analyses compared to the visual neuro-radiological evaluation. Methods: A group of 56 MS patients (mean age 35 years, 70% females and 96% relapsing-remitting MS) was examined with brain MRI one and 5 years after diagnosis. The T1 and FLAIR brain MRI sequences for all patients were analyzed using the LesionQuant (LQ) software. These data were compared with data from structured visual evaluations of the MRI scans performed by neuro-radiologists, including assessments of atrophy, and lesion count. The data from LQ were also compared with data from other validated research methods for brain segmentation, including assessments of whole brain volume and lesion volume. Correlations with clinical tests like the timed 25-foot walk test (T25FT) were performed to explore additional value of LQ analyses. Results: Lesion count assessments by LQ and by the neuro-radiologist were significantly correlated one year (cor = 0.92, p = 2.2 × 10−16) and 5 years (cor = 0.84, p = 2.7 × 10−16) after diagnosis. Analyzes of the intra- and interrater variability also correlated significantly (cor = 0.96, p < 0.001, cor = 0.97, p < 0.001). Significant positive correlation was found between lesion volume measured by LQ and by the software Cascade (cor = 0.7, p < 0.001. LQ detected a reduction in whole brain percentile >10 in 10 patients across the time-points, whereas the neuro-radiologist assessment identified six of these. The neuro-radiologist additionally identified five patients with increased atrophy in the follow-up period, all of them displayed decreasing low whole brain percentiles (median 11, range 8–28) in the LQ analysis. Significant positive correlation was identified between lesion volume measured by LQ and test performance on the T25FT both at 1 and 5 years after diagnosis. Conclusion: For the number of MS lesions at both time-points, we demonstrated strong correlations between the assessments done by LQ and the neuro-radiologist. Lesion volume evaluated with LQ correlated with T25FT performance. LQ-analyses classified more patients to have brain atrophy than the visual neuro-radiological evaluation. In conclusion, LQ seems like a promising supplement to the evaluation performed by neuro-radiologists, providing an automated tool for evaluating lesions in MS patients and also detecting early signs of atrophy in both a longitudinal and cross-sectional setting.
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Affiliation(s)
- Synne Brune
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Einar A Høgestøl
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Vanja Cengija
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Pål Berg-Hansen
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Piotr Sowa
- Division of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Gro O Nygaard
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Hanne F Harbo
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Department of Neurology, 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
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Artificial intelligence to predict clinical disability in patients with multiple sclerosis using FLAIR MRI. Diagn Interv Imaging 2020; 101:795-802. [DOI: 10.1016/j.diii.2020.05.009] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 05/18/2020] [Accepted: 05/20/2020] [Indexed: 02/06/2023]
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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: 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: 12/16/2019] [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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34
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Pitteri M, Dapor C, Ziccardi S, Guandalini M, Meggiato R, Calabrese M. Visual-Attentional Load Unveils Slowed Processing Speed in Multiple Sclerosis Patients: A Pilot Study with a Tablet-Based Videogame. Brain Sci 2020; 10:E871. [PMID: 33218213 PMCID: PMC7699274 DOI: 10.3390/brainsci10110871] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2020] [Revised: 11/04/2020] [Accepted: 11/16/2020] [Indexed: 11/30/2022] Open
Abstract
Slowing in information processing speed (IPS) is the key cognitive deficit in multiple sclerosis (MS). Testing IPS in different cognitive load conditions by using computerized tools might reveal initial IPS slowness underestimated by classic paper-and-pencil tests. To investigate the extent to which IPS can be affected by increased task demands, we developed three tasks based on the manipulation of the visual-attentional load, delivered with a home-made, tablet-based videogame. Fifty-one patients with MS (pwMS), classified as having no cognitive impairment in classic paper-and-pencil tests, and 20 healthy controls (HC) underwent the videogame tasks; reaction times (RTs) and accuracy were recorded. A significant reduced performance of pwMS as compared with HC was found on the videogame tasks, with pwMS being on average slower and less accurate than HC. Furthermore, pwMS showed a significantly more pronounced decrement in accuracy as a function of the visual-attentional load, suggesting a higher susceptibility to increased task demands. Significant correlations among the Symbol Digit Modalities Test (SDMT) and the videogame mean RTs and accuracy were found, providing evidence for the concurrent validity of the videogame as a valid tool to test IPS in pwMS. The high potential that might derive from the adoption of computerized assessment tools in clinical practice should be taken into consideration and investigated further.
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Affiliation(s)
- Marco Pitteri
- Correspondence: (M.P.); (M.C.); Tel.: +39-045-8124678 (M.C.)
| | | | | | | | | | - Massimiliano Calabrese
- Neurology Section, Department of Neuroscience, Biomedicine and Movement Sciences, University of Verona, 37134 Verona, Italy; (C.D.); (S.Z.); (M.G.); (R.M.)
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35
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Abel S, Vavasour I, Lee LE, Johnson P, Ristow S, Ackermans N, Chan J, Cross H, Laule C, Dvorak A, Schabas A, Hernández-Torres E, Tam R, Kuan AJ, Morrow SA, Wilken J, Rauscher A, Bhan V, Sayao AL, Devonshire V, Li DKB, Carruthers R, Traboulsee A, Kolind SH. Associations Between Findings From Myelin Water Imaging and Cognitive Performance Among Individuals With Multiple Sclerosis. JAMA Netw Open 2020; 3:e2014220. [PMID: 32990740 PMCID: PMC7525360 DOI: 10.1001/jamanetworkopen.2020.14220] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
IMPORTANCE Cognitive impairment is a debilitating symptom of multiple sclerosis (MS) that affects up to 70% of patients. An improved understanding of the underlying pathology of MS-related cognitive impairment would provide considerable benefit to patients and clinicians. OBJECTIVE To determine whether there is an association between myelin damage in tissue that appears completely normal on standard clinical imaging, but can be detected by myelin water imaging (MWI), with cognitive performance in MS. DESIGN, SETTING, AND PARTICIPANTS In this cross-sectional study, participants with MS and controls underwent cognitive testing and magnetic resonance imaging (MRI) from August 23, 2017, to February 20, 2019. Participants were recruited through the University of British Columbia Hospital MS clinic and via online recruitment advertisements on local health authority websites. Cognitive testing was performed in the MS clinic, and MRI was performed at the adjacent academic research neuroimaging center. Seventy-three participants with clinically definite MS fulfilling the 2017 revised McDonald criteria for diagnosis and 22 age-, sex-, and education-matched healthy volunteers without neurological disease were included in the study. Data analysis was performed from March to November 2019. EXPOSURES MWI was performed at 3 T with a 48-echo, 3-dimensional, gradient and spin-echo (GRASE) sequence. Cognitive testing was performed with assessments drawn from cognitive batteries validated for use in MS. MAIN OUTCOMES AND MEASURES The association between myelin water measures, a measurement of the T2 relaxation signal from water in the myelin bilayers providing a specific marker for myelin, and cognitive test scores was assessed using Pearson correlation. Three white matter regions of interest-the cingulum, superior longitudinal fasciculus (SLF), and corpus callosum-were selected a priori according to their known involvement in MS-related cognitive impairment. RESULTS For the 95 total participants, the mean (SD) age was 49.33 (11.44) years. The mean (SD) age was 50.2 (10.7) years for the 73 participants with MS and 46.4 (13.5) for the 22 controls. Forty-eight participants with MS (66%) and 14 controls (64%) were women. The mean (SD) years of education were 14.7 (2.2) for patients and 15.8 (2.5) years for controls. In MS, significant associations were observed between myelin water measures and scores on the Symbol Digit Modalities Test (SLF, r = -0.490; 95% CI, -0.697 to -0.284; P < .001; corpus callosum, r = -0.471; 95% CI, -0.680 to -0.262; P < .001; and cingulum, r = -0.419; 95% CI, -0.634 to -0.205; P < .001), Selective Reminding Test (SLF, r = -0.444; 95% CI, -0.660 to -0.217; P < .001; corpus callosum, r = -0.411; 95% CI, -0.630 to -0.181; P = .001; and cingulum, r = -0.361; 95% CI, -0.602 to -0.130; P = .003), and Controlled Oral Word Association Test (SLF, r = -0.317; 95% CI, -0.549 to -0.078; P = .01; and cingulum, r = -0.335; 95% CI, -0.658 to -0.113; P = .006). No significant associations were found in controls. CONCLUSIONS AND RELEVANCE This study used MWI to demonstrate that otherwise normal-appearing brain tissue is diffusely damaged in MS, and the findings suggest that myelin water measures are associated with cognitive performance. MWI offers an in vivo biomarker feasible for use in clinical trials investigating cognition, providing a means for monitoring changes in myelination and its association with symptom worsening or improvement.
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Affiliation(s)
- Shawna Abel
- Department of Medicine (Neurology), The University of British Columbia, Vancouver, British Columbia, Canada
| | - Irene Vavasour
- Department of Radiology, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Lisa Eunyoung Lee
- Department of Medicine (Neurology), The University of British Columbia, Vancouver, British Columbia, Canada
| | - Poljanka Johnson
- Department of Medicine (Neurology), The University of British Columbia, Vancouver, British Columbia, Canada
| | - Stephen Ristow
- Department of Medicine (Neurology), The University of British Columbia, Vancouver, British Columbia, Canada
| | - Nathalie Ackermans
- Department of Medicine (Neurology), The University of British Columbia, Vancouver, British Columbia, Canada
| | - Jillian Chan
- Department of Medicine (Neurology), The University of British Columbia, Vancouver, British Columbia, Canada
| | - Helen Cross
- Department of Medicine (Neurology), The University of British Columbia, Vancouver, British Columbia, Canada
| | - Cornelia Laule
- Department of Radiology, The University of British Columbia, Vancouver, British Columbia, Canada
- Department of Pathology & Laboratory Medicine, The University of British Columbia, Vancouver, British Columbia, Canada
- Department of Physics & Astronomy, The University of British Columbia, Vancouver, British Columbia, Canada
- International Collaboration on Repair Discoveries, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Adam Dvorak
- Department of Physics & Astronomy, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Alice Schabas
- Department of Medicine (Neurology), The University of British Columbia, Vancouver, British Columbia, Canada
| | - Enedino Hernández-Torres
- Department of Medicine (Neurology), The University of British Columbia, Vancouver, British Columbia, Canada
| | - Roger Tam
- Department of Radiology, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Annie J. Kuan
- Department of Psychiatry, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Sarah A. Morrow
- Department of Clinical Neurological Sciences, Western University, London, Ontario, Canada
| | - Jeffrey Wilken
- Department of Neurology, Georgetown University Hospital, Washington, DC
- Washington Neuropsychology Research Group LLC, Fairfax, Virginia
| | - Alexander Rauscher
- Department of Radiology, The University of British Columbia, Vancouver, British Columbia, Canada
- Department of Physics & Astronomy, The University of British Columbia, Vancouver, British Columbia, Canada
- Department of Pediatrics, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Virender Bhan
- Department of Medicine (Neurology), The University of British Columbia, Vancouver, British Columbia, Canada
| | - Ana-Luiza Sayao
- Department of Medicine (Neurology), The University of British Columbia, Vancouver, British Columbia, Canada
| | - Virginia Devonshire
- Department of Medicine (Neurology), The University of British Columbia, Vancouver, British Columbia, Canada
| | - David K. B. Li
- Department of Medicine (Neurology), The University of British Columbia, Vancouver, British Columbia, Canada
- Department of Radiology, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Robert Carruthers
- Department of Medicine (Neurology), The University of British Columbia, Vancouver, British Columbia, Canada
| | - Anthony Traboulsee
- Department of Medicine (Neurology), The University of British Columbia, Vancouver, British Columbia, Canada
| | - Shannon H. Kolind
- Department of Medicine (Neurology), The University of British Columbia, Vancouver, British Columbia, Canada
- Department of Radiology, The University of British Columbia, Vancouver, British Columbia, Canada
- Department of Physics & Astronomy, The University of British Columbia, Vancouver, British Columbia, Canada
- International Collaboration on Repair Discoveries, The University of British Columbia, Vancouver, British Columbia, Canada
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Spatial navigation in early multiple sclerosis: a neglected cognitive marker of the disease? J Neurol 2020; 268:77-89. [PMID: 32700011 DOI: 10.1007/s00415-020-10079-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 07/06/2020] [Accepted: 07/11/2020] [Indexed: 10/23/2022]
Abstract
BACKGROUND Cognitive deficits are common in early multiple sclerosis (MS), however, spatial navigation changes and their associations with brain pathology remain poorly understood. OBJECTIVE To characterize the profile of spatial navigation changes in two main navigational strategies, egocentric (self-centred) and allocentric (world-centred), and their associations with demyelinating and neurodegenerative changes in early MS. METHODS Participants with early MS after the first clinical event (n = 51) and age-, gender- and education-matched controls (n = 42) underwent spatial navigation testing in a real-space human analogue of the Morris water maze task, comprehensive neuropsychological assessment, and MRI brain scan with voxel-based morphometry and volumetric analyses. RESULTS The early MS group had lower performance in the egocentric (p = 0.010), allocentric (p = 0.004) and allocentric-delayed (p = 0.038) navigation tasks controlling for age, gender and education. Based on the applied criteria, lower spatial navigation performance was present in 26-29 and 33-41% of the participants with early MS in the egocentric and the allocentric task, respectively. Larger lesion load volume in cortical, subcortical and cerebellar regions (ß ≥ 0.29; p ≤ 0.032) unlike brain atrophy was associated with less accurate allocentric navigation performance. CONCLUSION Lower spatial navigation performance is present in up to 41% of the participants with early MS. Demyelinating lesions in early MS may disrupt neural network forming the basis of allocentric navigation.
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Lorefice L, Carta E, Frau J, Contu F, Casaglia E, Coghe G, Barracciu MA, Cocco E, Fenu G. The impact of deep grey matter volume on cognition in multiple sclerosis. Mult Scler Relat Disord 2020; 45:102351. [PMID: 32731200 DOI: 10.1016/j.msard.2020.102351] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 06/03/2020] [Accepted: 06/30/2020] [Indexed: 12/15/2022]
Abstract
BACKGROUND Cognitive dysfunctions are very frequent in people living with multiple sclerosis (MS). Several studies have previously indicated grey matter (GM) atrophy as useful predictor of patients' cognitive impairment. However, considerable uncertainty exists about the possible impact of deep grey matter volumes on cognition. This study aimed to evaluate the relationship of the subcortical (sc) GM volumes with the presence and severity of global and selective cognitive impairment in MS. METHODS A group of MS patients with relapsing remitting course were enrolled. Patients underwent a neuropsychological evaluation by using the Brief Repeatable Battery of Neuropsychological Tests (BRBN) and the Delis-Kaplan Executive Function System Sorting Test (D-KEFST); z scores were estimated and items with z score below 2 standard deviation were considered failed. Thus, brain MRIs images were acquired and measurements of whole brain (WB), white matter (WM), and cortical grey matter (GM) were obtained by SIENAX. After FIRST tool segmentation, volumes of subcortical GM structures were also estimated. RESULTS The sample included 50 MS patients, of which 16/50 (32%) subjects were cognitively impaired. Multiple regression analyses found a significant association of severity of cognitive impairment, defined as number of failed neuropsychological tests, with lower volumes of cortex (p=0.003), thalamus (p=0.009), caudate (p=0.011), putamen (p=0.020), pallidus (p=0.012) and hippocampus (p=0.045), independently from other MS features. In addition, an association between accumbens volume and D-KEFS ST FSC and D-KEFS ST FSD z scores was observed (p<0.03). CONCLUSIONS Our results indicated that volumes of several scGM structures, and in particular of thalamus, contribute to determine cognitive dysfunctions in MS, mainly influencing the executive functioning. Further investigations in larger MS cohorts with cognitive impairment are necessary to better understand the structural brain damage underlying this "invisible disability".
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Affiliation(s)
- L Lorefice
- Multiple Sclerosis Center, Binaghi Hospital, ATS Sardegna, via Is Guadazzonis 2, 09126, Cagliari, Italy.
| | - E Carta
- Multiple Sclerosis Center, Department of Medical Sciences and Public Health, University of Cagliari, Italy
| | - J Frau
- Multiple Sclerosis Center, Binaghi Hospital, ATS Sardegna, via Is Guadazzonis 2, 09126, Cagliari, Italy
| | - F Contu
- Radiology Unit, Binaghi Hospital, ATS Sardegna, Cagliari, Italy
| | - E Casaglia
- Multiple Sclerosis Center, Department of Medical Sciences and Public Health, University of Cagliari, Italy
| | - G Coghe
- Multiple Sclerosis Center, Binaghi Hospital, ATS Sardegna, via Is Guadazzonis 2, 09126, Cagliari, Italy
| | - M A Barracciu
- Radiology Unit, Binaghi Hospital, ATS Sardegna, Cagliari, Italy
| | - E Cocco
- Multiple Sclerosis Center, Binaghi Hospital, ATS Sardegna, via Is Guadazzonis 2, 09126, Cagliari, Italy; Multiple Sclerosis Center, Department of Medical Sciences and Public Health, University of Cagliari, Italy
| | - G Fenu
- Multiple Sclerosis Center, Binaghi Hospital, ATS Sardegna, via Is Guadazzonis 2, 09126, Cagliari, Italy
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Budd KR, Johnson M, Glaubiger SA, Jewells VL. Understanding the Radiologist's Role in Evaluating Multiple Sclerosis: A Review of the Tip of the Iceberg. Semin Ultrasound CT MR 2020; 41:275-283. [DOI: 10.1053/j.sult.2020.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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Akaishi T, Takahashi T, Fujihara K, Misu T, Mugikura S, Abe M, Ishii T, Aoki M, Nakashima I. Number of MRI T1-hypointensity corrected by T2/FLAIR lesion volume indicates clinical severity in patients with multiple sclerosis. PLoS One 2020; 15:e0231225. [PMID: 32243459 PMCID: PMC7122737 DOI: 10.1371/journal.pone.0231225] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Accepted: 03/18/2020] [Indexed: 11/22/2022] Open
Abstract
INTRODUCTION Progressive brain atrophy, development of T1-hypointense areas, and T2-fluid-attenuated inversion recovery (FLAIR)-hyperintense lesion formation in multiple sclerosis (MS) are popular volumetric data that are often utilized as clinical outcomes. However, the exact clinical interpretation of these volumetric data has not yet been fully established. METHODS We enrolled 42 consecutive patients with MS who fulfilled the revised McDonald criteria of 2010. They were followed-up for more than 3 years from onset, and cross-sectional brain volumetry was performed. Patients with no brain lesions were excluded in advance from this study. For the brain volumetric data, we evaluated several parameters including age-adjusted gray-matter volume atrophy, age-adjusted white-matter volume atrophy, and T2-FLAIR lesion volume. The numbers of T1-hypointense and T2-FLAIR-hyperintense areas were also measured along the same timeline. The clinical data pertaining to disease duration, expanded disability status scale (EDSS), and MS severity score (MSSS) at the timing of volumetry were collected. RESULTS Among the 42 patients with MS and brain lesions, the number of T1-hypointensity (rho = 0.51, p<0.001), gray-matter atrophy (rho = 0.40, p<0.01) and white-matter atrophy (rho = 0.49, p<0.001) correlated with the EDSS. T1-hypointensity count divided by FLAIR lesion volume correlated with the MSSS (rho = 0.60, p<0.001). Meanwhile, counts or volumes of FLAIR-hyperintense lesions were associated only with the times of past relapses, and did not correlate with present neurological disability level or ongoing disease activity. These findings were consistent regardless of the presence of spinal cord lesions. CONCLUSION Numbers of T1-hypointensities and brain atrophy equally indicated the current neurological disability in MS. The number of T1-hypointensities divided by FLAIR lesion volume represented the clinical severity. The size or number of FLAIR lesions reflected earlier relapses but was not a good indicator of neurological disability or clinical severity.
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Affiliation(s)
- Tetsuya Akaishi
- Department of Neurology, Tohoku University Graduate School of Medicine, Sendai, Japan
- Department of Education and Support for Regional Medicine, Tohoku University Hospital, Sendai, Japan
| | - Toshiyuki Takahashi
- Department of Neurology, Tohoku University Graduate School of Medicine, Sendai, Japan
- Department of Neurology, National Hospital Organization Yonezawa National Hospital, Yonezawa, Japan
| | - Kazuo Fujihara
- Department of Multiple Sclerosis Therapeutics, Fukushima Medical University School of Medicine, Fukushima, Japan
| | - Tatsuro Misu
- Department of Neurology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Shunji Mugikura
- Department of Diagnostic Radiology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Michiaki Abe
- Department of Education and Support for Regional Medicine, Tohoku University Hospital, Sendai, Japan
| | - Tadashi Ishii
- Department of Education and Support for Regional Medicine, Tohoku University Hospital, Sendai, Japan
| | - Masashi Aoki
- Department of Neurology, Tohoku University Graduate School of Medicine, Sendai, Japan
| | - Ichiro Nakashima
- Department of Neurology, Tohoku Medical and Pharmaceutical University, Sendai, Japan
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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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Abou Elmaaty AA, Flifel ME, Zarad CA. Correlation between brain magnetic resonance imaging, cognitive dysfunction and physical dysability in multiple sclerosis. THE EGYPTIAN JOURNAL OF NEUROLOGY, PSYCHIATRY AND NEUROSURGERY 2019. [DOI: 10.1186/s41983-019-0100-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
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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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Saccenti L, Andica C, Hagiwara A, Yokoyama K, Takemura MY, Fujita S, Maekawa T, Kamagata K, Le Berre A, Hori M, Hattori N, Aoki S. Brain tissue and myelin volumetric analysis in multiple sclerosis at 3T MRI with various in-plane resolutions using synthetic MRI. Neuroradiology 2019; 61:1219-1227. [DOI: 10.1007/s00234-019-02241-w] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2019] [Accepted: 06/04/2019] [Indexed: 12/11/2022]
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Does cognitive reserve play any role in multiple sclerosis? A meta-analytic study. Mult Scler Relat Disord 2019; 30:265-276. [DOI: 10.1016/j.msard.2019.02.017] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2018] [Revised: 02/07/2019] [Accepted: 02/11/2019] [Indexed: 12/12/2022]
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Smith K, Bastin ME, Cox SR, Valdés Hernández MC, Wiseman S, Escudero J, Sudlow C. Hierarchical complexity of the adult human structural connectome. Neuroimage 2019; 191:205-215. [PMID: 30772400 PMCID: PMC6503942 DOI: 10.1016/j.neuroimage.2019.02.028] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Revised: 02/06/2019] [Accepted: 02/11/2019] [Indexed: 11/29/2022] Open
Abstract
The structural network of the human brain has a rich topology which many have sought to characterise using standard network science measures and concepts. However, this characterisation remains incomplete and the non-obvious features of this topology have largely confounded attempts towards comprehensive constructive modelling. This calls for new perspectives. Hierarchical complexity is an emerging paradigm of complex network topology based on the observation that complex systems are composed of hierarchies within which the roles of hierarchically equivalent nodes display highly variable connectivity patterns. Here we test the hierarchical complexity of the human structural connectomes of a group of seventy-nine healthy adults. Binary connectomes are found to be more hierarchically complex than three benchmark random network models. This provides a new key description of brain structure, revealing a rich diversity of connectivity patterns within hierarchically equivalent nodes. Dividing the connectomes into four tiers based on degree magnitudes indicates that the most complex nodes are neither those with the highest nor lowest degrees but are instead found in the middle tiers. Spatial mapping of the brain regions in each hierarchical tier reveals consistency with the current anatomical, functional and neuropsychological knowledge of the human brain. The most complex tier (Tier 3) involves regions believed to bridge high-order cognitive (Tier 1) and low-order sensorimotor processing (Tier 2). We then show that such diversity of connectivity patterns aligns with the diversity of functional roles played out across the brain, demonstrating that hierarchical complexity can characterise functional diversity strictly from the network topology.
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Affiliation(s)
- Keith Smith
- Usher Institute for Population Health Science and Informatics, Medical School, University of Edinburgh, Edinburgh, EH16 4UX, UK.
| | - Mark E Bastin
- Centre for Clinical Brain Sciences, Western General Hospital, University of Edinburgh, Edinburgh, EH4 2XU, UK; Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, EH8 9JZ, UK
| | - Simon R Cox
- Centre for Cognitive Ageing and Cognitive Epidemiology, Department of Psychology, University of Edinburgh, Edinburgh, EH8 9JZ, UK
| | - Maria C Valdés Hernández
- Centre for Clinical Brain Sciences, Western General Hospital, University of Edinburgh, Edinburgh, EH4 2XU, UK; Row Fogo Centre into Ageing and the Brain, Edinburgh Dementia Research Institute, University of Edinburgh, Edinburgh, EH16 4SB, UK
| | - Stewart Wiseman
- Centre for Clinical Brain Sciences, Western General Hospital, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Javier Escudero
- School of Engineering, Institute for Digital Communications, University of Edinburgh, Edinburgh, EH9 3FB, UK
| | - Catherine Sudlow
- Usher Institute for Population Health Science and Informatics, Medical School, University of Edinburgh, Edinburgh, EH16 4UX, UK
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de Santiago L, Sánchez Morla EM, Ortiz M, López E, Amo Usanos C, Alonso-Rodríguez MC, Barea R, Cavaliere-Ballesta C, Fernández A, Boquete L. A computer-aided diagnosis of multiple sclerosis based on mfVEP recordings. PLoS One 2019; 14:e0214662. [PMID: 30947273 PMCID: PMC6449069 DOI: 10.1371/journal.pone.0214662] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2018] [Accepted: 03/18/2019] [Indexed: 01/07/2023] Open
Abstract
Introduction The aim of this study is to develop a computer-aided diagnosis system to identify subjects at differing stages of development of multiple sclerosis (MS) using multifocal visual-evoked potentials (mfVEPs). Using an automatic classifier, diagnosis is performed first on the eyes and then on the subjects. Patients MfVEP signals were obtained from patients with Radiologically Isolated Syndrome (RIS) (n = 30 eyes), patients with Clinically Isolated Syndrome (CIS) (n = 62 eyes), patients with definite MS (n = 56 eyes) and 22 control subjects (n = 44 eyes). The CIS and MS groups were divided into two subgroups: those with eyes affected by optic neuritis (ON) and those without (non-ON). Methods For individual eye diagnosis, a feature vector was formed with information about the intensity, latency and singular values of the mfVEP signals. A flat multiclass classifier (FMC) and a hierarchical classifier (HC) were tested and both were implemented using the k-Nearest Neighbour (k-NN) algorithm. The output of the best eye classifier was used to classify the subjects. In the event of divergence, the eye with the best mfVEP recording was selected. Results In the eye classifier, the HC performed better than the FMC (accuracy = 0.74 and extended Matthew Correlation Coefficient (MCC) = 0.68). In the subject classification, accuracy = 0.95 and MCC = 0.93, confirming that it may be a promising tool for MS diagnosis. Conclusion In addition to amplitude (axonal loss) and latency (demyelination), it has shown that the singular values of the mfVEP signals provide discriminatory information that may be used to identify subjects with differing degrees of the disease.
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Affiliation(s)
- Luis de Santiago
- Grupo de Ingeniería Biomédica, Departamento de Electrónica, Universidad de Alcalá, Alcalá de Henares, Spain
| | - E. M. Sánchez Morla
- Instituto de Investigación Hospital 12 de Octubre (i+12), Madrid, Spain
- Facultad de Medicina, Universidad Complutense de Madrid, Madrid, Spain
| | - Miguel Ortiz
- Grupo de Ingeniería Biomédica, Departamento de Electrónica, Universidad de Alcalá, Alcalá de Henares, Spain
| | - Elena López
- Grupo de Ingeniería Biomédica, Departamento de Electrónica, Universidad de Alcalá, Alcalá de Henares, Spain
| | - Carlos Amo Usanos
- Grupo de Ingeniería Biomédica, Departamento de Electrónica, Universidad de Alcalá, Alcalá de Henares, Spain
| | | | - R. Barea
- Grupo de Ingeniería Biomédica, Departamento de Electrónica, Universidad de Alcalá, Alcalá de Henares, Spain
| | - Carlo Cavaliere-Ballesta
- Grupo de Ingeniería Biomédica, Departamento de Electrónica, Universidad de Alcalá, Alcalá de Henares, Spain
| | - Alfredo Fernández
- Grupo de Ingeniería Biomédica, Departamento de Electrónica, Universidad de Alcalá, Alcalá de Henares, Spain
| | - Luciano Boquete
- Grupo de Ingeniería Biomédica, Departamento de Electrónica, Universidad de Alcalá, Alcalá de Henares, Spain
- RETICS: Red Temática de Investigación Cooperativa Sanitaria en Enfermedades Oculares Oftared, Madrid, Spain
- * E-mail:
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Valavanis AV, Tsitsipa E, Intzes S, Psoma E, Tegos T. The impact of athrosclerosis on cognition and disability in multiple sclerosis patients: the ATHUS score. Hippokratia 2019; 23:81-86. [PMID: 32265589 PMCID: PMC7127921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
AIM Atherosclerosis of the large arteries of the neck could be related to the cognitive and motor deficit. We investigated if the atherosclerosis of common carotid and femoral arteries in patients with multiple sclerosis (MS) is directly linked with a disability and has an inverse relationship with cognitive performance. METHODS We enrolled, in this prospective study, a random sample of 105 patients with MS and 22 healthy controls. All participants received a comprehensive neuropsychological assessment. The physical disability was quantified with the Expanded Disability Status Scale (EDSS). We utilized ultrasound of the carotid and femoral arteries to evaluate the degree of stenosis and intima-media thickness (IMT). We created a novice ultrasound index of atherosclerosis (ATHUS score) based on the arterial stenosis and the IMT of the carotid and femoral arteries. We then compared the results of the psychometric assessment and EDSS with the ATHUS score. RESULTS The analysis demonstrated that higher cognitive function is correlated with lower values of ATHUS score (p =0.01). Also, there was a direct correlation between the ATHUS score and EDSS (p =0.001). CONCLUSION Our results suggest that the degree of atherosclerosis, as calculated by the ATHUS score, is directly related to low cognitive score and higher sensory and motor disability. HIPPOKRATIA 2019, 23(2): 81-86.
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Affiliation(s)
- A V Valavanis
- Department of Neurology, Royal Surrey County Hospital, Surrey, United Kingdom
- 1 Department of Neurology, AHEPA University Hospital, Aristotle University of Thessaloniki, Greece
| | - E Tsitsipa
- Division of Psychiatry, University College London, United Kingdom
| | | | - E Psoma
- Department of Radiology, AHEPA University Hospital, Aristotle University of Thessaloniki, Greece
| | - T Tegos
- 1 Department of Neurology, AHEPA University Hospital, Aristotle University of Thessaloniki, Greece
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Standardizing Magnetic Resonance Imaging Protocols, Requisitions, and Reports in Multiple Sclerosis: An Update for Radiologist Based on 2017 Magnetic Resonance Imaging in Multiple Sclerosis and 2018 Consortium of Multiple Sclerosis Centers Consensus Guidelines. J Comput Assist Tomogr 2019; 43:1-12. [PMID: 30015803 DOI: 10.1097/rct.0000000000000767] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
The advent of magnetic resonance imaging has improved our understanding of the pathophysiology and natural course of multiple sclerosis (MS). The ability of magnetic resonance imaging to show the evolution of MS lesions on sequential scans has brought it to be one of the endpoints in clinical trials for disease-modifying therapies. Based on the most updated consensus guidelines from the American (Consortium of MS Centers) and European (Magnetic Resonance Imaging in MS) boards of experts in MS, this document shows the most relevant landmarks related to imaging findings, diagnostic criteria, indications to obtain a magnetic resonance, scan protocols and sequence options for patients with MS. Although incorporating the knowledge derived from the research arena into the daily clinical practice is always challenging, in this article, the authors provide useful recommendations to improve the information contained in the magnetic resonance report oriented to facilitate communication between radiologists and specialized medical teams involved in MS patients' multidisciplinary care.
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Jakimovski D, Weinstock-Guttman B, Hagemeier J, Vaughn CB, Kavak KS, Gandhi S, Bennett SE, Fuchs TA, Bergsland N, Dwyer MG, Benedict RH, Zivadinov R. Walking disability measures in multiple sclerosis patients: Correlations with MRI-derived global and microstructural damage. J Neurol Sci 2018; 393:128-134. [DOI: 10.1016/j.jns.2018.08.020] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2018] [Revised: 07/23/2018] [Accepted: 08/21/2018] [Indexed: 12/21/2022]
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