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Krijnen EA, Salim Karam E, Russo AW, Lee H, Chiang FL, Schoonheim MM, Huang SY, Klawiter EC. Intrinsic and extrinsic contributors to subregional thalamic volume loss in multiple sclerosis. Ann Clin Transl Neurol 2024; 11:1405-1419. [PMID: 38725151 PMCID: PMC11187835 DOI: 10.1002/acn3.52026] [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: 12/16/2023] [Revised: 02/02/2024] [Accepted: 02/06/2024] [Indexed: 06/20/2024] Open
Abstract
OBJECTIVE To evaluate the intrinsic and extrinsic microstructural factors contributing to atrophy within individual thalamic subregions in multiple sclerosis using in vivo high-gradient diffusion MRI. METHODS In this cross-sectional study, 41 people with multiple sclerosis and 34 age and sex-matched healthy controls underwent 3T MRI with up to 300 mT/m gradients using a multi-shell diffusion protocol consisting of eight b-values and diffusion time of 19 ms. Each thalamus was parcellated into 25 subregions for volume determination and diffusion metric estimation. The soma and neurite density imaging model was applied to obtain estimates of intra-neurite, intra-soma, and extra-cellular signal fractions for each subregion and within structurally connected white matter trajectories and cortex. RESULTS Multiple sclerosis-related volume loss was more pronounced in posterior/medial subregions than anterior/ventral subregions. Intra-soma signal fraction was lower in multiple sclerosis, reflecting reduced cell body density, while the extra-cellular signal fraction was higher, reflecting greater extra-cellular space, both of which were observed more in posterior/medial subregions than anterior/ventral subregions. Lower intra-neurite signal fraction in connected normal-appearing white matter and lower intra-soma signal fraction of structurally connected cortex were associated with reduced subregional thalamic volumes. Intrinsic and extrinsic microstructural measures independently related to subregional volume with heterogeneity across atrophy-prone thalamic nuclei. Extrinsic microstructural alterations predicted left anteroventral, intrinsic microstructural alterations predicted bilateral medial pulvinar, and both intrinsic and extrinsic factors predicted lateral geniculate and medial mediodorsal volumes. INTERPRETATION Our results might be reflective of the involvement of anterograde and retrograde degeneration from white matter demyelination and cerebrospinal fluid-mediated damage in subregional thalamic volume loss.
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Affiliation(s)
- Eva A. Krijnen
- Department of NeurologyMassachusetts General Hospital, Harvard Medical SchoolBostonMassachusettsUSA
- MS Center Amsterdam, Anatomy and Neurosciences, Amsterdam NeuroscienceAmsterdam UMC, Location VUmcAmsterdamThe Netherlands
| | - Elsa Salim Karam
- Department of NeurologyMassachusetts General Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Andrew W. Russo
- Department of NeurologyMassachusetts General Hospital, Harvard Medical SchoolBostonMassachusettsUSA
| | - Hansol Lee
- Athinoula A. Martinos Center for Biomedical Imaging, Department of RadiologyMassachusetts General Hospital, Harvard Medical SchoolCharlestownMassachusettsUSA
| | - Florence L. Chiang
- Athinoula A. Martinos Center for Biomedical Imaging, Department of RadiologyMassachusetts General Hospital, Harvard Medical SchoolCharlestownMassachusettsUSA
| | - Menno M. Schoonheim
- MS Center Amsterdam, Anatomy and Neurosciences, Amsterdam NeuroscienceAmsterdam UMC, Location VUmcAmsterdamThe Netherlands
| | - Susie Y. Huang
- Athinoula A. Martinos Center for Biomedical Imaging, Department of RadiologyMassachusetts General Hospital, Harvard Medical SchoolCharlestownMassachusettsUSA
| | - Eric C. Klawiter
- Department of NeurologyMassachusetts General Hospital, Harvard Medical SchoolBostonMassachusettsUSA
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Koubiyr I, Yamamoto T, Blyau S, Kamroui RA, Mansencal B, Planche V, Petit L, Saranathan M, Casey R, Ruet A, Brochet B, Manjón JV, Dousset V, Coupé P, Tourdias T. Vulnerability of Thalamic Nuclei at CSF Interface During the Entire Course of Multiple Sclerosis. NEUROLOGY(R) NEUROIMMUNOLOGY & NEUROINFLAMMATION 2024; 11:e200222. [PMID: 38635941 PMCID: PMC11087027 DOI: 10.1212/nxi.0000000000200222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 01/19/2024] [Indexed: 04/20/2024]
Abstract
BACKGROUND AND OBJECTIVES Thalamic atrophy can be used as a proxy for neurodegeneration in multiple sclerosis (MS). Some data point toward thalamic nuclei that could be affected more than others. However, the dynamic of their changes during MS evolution and the mechanisms driving their differential alterations are still uncertain. METHODS We paired a large cohort of 1,123 patients with MS with the same number of healthy controls, all scanned with conventional 3D-T1 MRI. To highlight the main atrophic regions at the thalamic nuclei level, we validated a segmentation strategy consisting of deep learning-based synthesis of sequences, which were used for automatic multiatlas segmentation. Then, through a lifespan-based approach, we could model the dynamics of the 4 main thalamic nuclei groups. RESULTS All analyses converged toward a higher rate of atrophy for the posterior and medial groups compared with the anterior and lateral groups. We also demonstrated that focal MS white matter lesions were associated with atrophy of groups of nuclei when specifically located within the associated thalamocortical projections. The volumes of the most affected posterior group, but also of the anterior group, were better associated with clinical disability than the volume of the whole thalamus. DISCUSSION These findings point toward the thalamic nuclei adjacent to the third ventricle as more susceptible to neurodegeneration during the entire course of MS through potentiation of disconnection effects by regional factors. Because this information can be obtained even from standard T1-weighted MRI, this paves the way toward such an approach for future monitoring of patients with MS.
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Affiliation(s)
- Ismail Koubiyr
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - Takayuki Yamamoto
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - Simon Blyau
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - Reda A Kamroui
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - Boris Mansencal
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - Vincent Planche
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - Laurent Petit
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - Manojkumar Saranathan
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - Romain Casey
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - Aurélie Ruet
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - Bruno Brochet
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - José V Manjón
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - Vincent Dousset
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - Pierrick Coupé
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
| | - Thomas Tourdias
- From the University of Bordeaux (I.K., T.Y., A.R., B.B., V.D., T.T.), INSERM, Neurocentre Magendie, U1215; Neuroimagerie diagnostique et thérapeutique (S.B.), CHU de Bordeaux; University of Bordeaux (R.A.K., B.M., P.C.), CNRS, Bordeaux INP, LABRI, UMR5800, Talence; Univ. Bordeaux (V.P.), CNRS, IMN, UMR 5293; Groupe d'Imagerie Neurofonctionnelle (L.P.), Institut des Maladies Neurodégénératives CNRS UMR 5293, Bordeaux, France; Department of Medical Imaging (M.S.), The University of Arizona, Tucson; Université de Lyon (R.C.), Université Claude Bernard Lyon 1, France; and Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA) (J.V.M.), Universitat Politècnica de València, Spain
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Kiss C, Wurth S, Heschl B, Khalil M, Gattringer T, Enzinger C, Ropele S. Low-frequency MR elastography reveals altered deep gray matter viscoelasticity in multiple sclerosis. Neuroimage Clin 2024; 42:103606. [PMID: 38669859 PMCID: PMC11068637 DOI: 10.1016/j.nicl.2024.103606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2023] [Revised: 02/23/2024] [Accepted: 04/15/2024] [Indexed: 04/28/2024]
Abstract
INTRODUCTION Brain viscoelasticity as assessed by magnetic resonance elastography (MRE) has been discussed as a promising surrogate of microstructural alterations due to neurodegenerative processes. Existing studies indicate that multiple sclerosis (MS) is associated with a global reduction in brain stiffness. However, no study to date systematically investigated the MS-related characteristics of brain viscoelasticity separately in normal-appearing white matter (NAWM), deep gray matter (DGM) and T2-hyperintense white matter (WM) lesions. METHODS 70 MS patients and 42 healthy volunteers underwent whole-cerebral MRE using a stimulated echo sequence (DENSE) with a low-frequency mechanical excitation at 20 Hertz. The magnitude |G∗| (Pa) and phase angle φ (rad) of the complex shear modulus G∗ were reconstructed by multifrequency dual elasto-visco (MDEV) inversion and related to structural imaging and clinical parameters. RESULTS We observed φ in the thalamus to be higher by 4.3 % in patients relative to healthy controls (1.11 ± 0.07 vs. 1.06 ± 0.07, p < 0.0001). Higher Expanded Disability Status Scale (EDSS) scores were negatively associated with φ in the basal ganglia (p = 0.01). We measured φ to be lower in MS lesions compared to surrounding NAWM (p = 0.001), which was most prominent for lesions in the temporal lobe (1.01 ± 0.22 vs. 1.06 ± 0.19, p = 0.003). Age was associated with lower values of |G∗| (p = 0.04) and φ (p = 0.004) in the thalamus of patients. No alteration in NAWM stiffness relative to WM in healthy controls was observed. CONCLUSION Low-frequency elastography in MS patients reveals age-independent alterations in the viscoelasticity of deep gray matter at early stages of disease.
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Affiliation(s)
- Christian Kiss
- Department of Neurology, Medical University of Graz, Austria.
| | - Sebastian Wurth
- Department of Neurology, Medical University of Graz, Austria.
| | - Bettina Heschl
- Department of Neurology, Medical University of Graz, Austria.
| | - Michael Khalil
- Department of Neurology, Medical University of Graz, Austria.
| | | | | | - Stefan Ropele
- Department of Neurology, Medical University of Graz, Austria; Neuroimaging Research Unit, Department of Neurology, Medical University of Graz, Austria.
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Fadda G, Cardenas de la Parra A, O'Mahony J, Waters P, Yeh EA, Bar-Or A, Marrie RA, Narayanan S, Arnold DL, Collins DL, Banwell B. Deviation From Normative Whole Brain and Deep Gray Matter Growth in Children With MOGAD, MS, and Monophasic Seronegative Demyelination. Neurology 2023; 101:e425-e437. [PMID: 37258297 PMCID: PMC10435061 DOI: 10.1212/wnl.0000000000207429] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Accepted: 04/04/2023] [Indexed: 06/02/2023] Open
Abstract
BACKGROUND AND OBJECTIVES Pediatric-acquired demyelination of the CNS associated with antibodies directed against myelin oligodendrocyte glycoprotein (MOG; MOG antibody-associated disease [MOGAD]) occurs as a monophasic or relapsing disease and with variable but often extensive T2 lesions in the brain. The impact of MOGAD on brain growth during maturation is unknown. We quantified the effect of pediatric MOGAD on brain growth trajectories and compared this with the growth trajectories of age-matched and sex-matched healthy children and children with multiple sclerosis (MS, a chronic relapsing disease known to lead to failure of normal brain growth and to loss of brain volume) and monophasic seronegative demyelination. METHODS We included children enrolled at incident attack in the prospective longitudinal Canadian Pediatric Demyelinating Disease Study who were recruited at the 3 largest enrollment sites, underwent research brain MRI scans, and were tested for serum MOG-IgG. Children seropositive for MOG-IgG were diagnosed with MOGAD. MS was diagnosed per the 2017 McDonald criteria. Monophasic seronegative demyelination was confirmed in children with no clinical or MRI evidence of recurrent demyelination and negative results for MOG-IgG and aquaporin-4-IgG. Whole and regional brain volumes were computed through symmetric nonlinear registration to templates. We computed age-normalized and sex-normalized z scores for brain volume using a normative dataset of 813 brain MRI scans obtained from typically developing children and used mixed-effect models to assess potential deviation from brain growth trajectories. RESULTS We assessed brain volumes of 46 children with MOGAD, 26 with MS, and 51 with monophasic seronegative demyelinating syndrome. Children with MOGAD exhibited delayed (p < 0.001) age-expected and sex-expected growth of thalamus, caudate, and globus pallidus, normalized for the whole brain volume. Divergence from expected growth was particularly pronounced in the first year postonset and was detected even in children with monophasic MOGAD. Thalamic volume abnormalities were less pronounced in children with MOGAD compared with those in children with MS. DISCUSSION The onset of MOGAD during childhood adversely affects the expected trajectory of growth of deep gray matter structures, with accelerated changes in the months after an acute attack. Further studies are required to better determine the relative impact of monophasic vs relapsing MOGAD and whether relapsing MOGAD with attacks isolated to the optic nerves or spinal cord affects brain volume over time.
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Affiliation(s)
- Giulia Fadda
- From the Department of Medicine (G.F), University of Ottawa, Ottawa Hospital Research Institute; Montreal Neurological Institute (A.C.P., S.N., D.L.A., D.L.C.), McGill University, Quebec; Department of Community Health Sciences (J.O.M., R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; Nuffield Department of Clinical Neurosciences (P.W.), John Radcliffe Hospital, University of Oxford, United Kingdom; Department of Pediatrics (E.A.Y.), University of Toronto, Ontario, Canada; Center for Neuroinflammation and Neurotherapeutics (A.B.-O.), and Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Internal Medicine (R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; and Division of Child Neurology (B.B.), Department of Neurology, The Children's Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania
| | - Alonso Cardenas de la Parra
- From the Department of Medicine (G.F), University of Ottawa, Ottawa Hospital Research Institute; Montreal Neurological Institute (A.C.P., S.N., D.L.A., D.L.C.), McGill University, Quebec; Department of Community Health Sciences (J.O.M., R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; Nuffield Department of Clinical Neurosciences (P.W.), John Radcliffe Hospital, University of Oxford, United Kingdom; Department of Pediatrics (E.A.Y.), University of Toronto, Ontario, Canada; Center for Neuroinflammation and Neurotherapeutics (A.B.-O.), and Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Internal Medicine (R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; and Division of Child Neurology (B.B.), Department of Neurology, The Children's Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania
| | - Julia O'Mahony
- From the Department of Medicine (G.F), University of Ottawa, Ottawa Hospital Research Institute; Montreal Neurological Institute (A.C.P., S.N., D.L.A., D.L.C.), McGill University, Quebec; Department of Community Health Sciences (J.O.M., R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; Nuffield Department of Clinical Neurosciences (P.W.), John Radcliffe Hospital, University of Oxford, United Kingdom; Department of Pediatrics (E.A.Y.), University of Toronto, Ontario, Canada; Center for Neuroinflammation and Neurotherapeutics (A.B.-O.), and Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Internal Medicine (R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; and Division of Child Neurology (B.B.), Department of Neurology, The Children's Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania
| | - Patrick Waters
- From the Department of Medicine (G.F), University of Ottawa, Ottawa Hospital Research Institute; Montreal Neurological Institute (A.C.P., S.N., D.L.A., D.L.C.), McGill University, Quebec; Department of Community Health Sciences (J.O.M., R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; Nuffield Department of Clinical Neurosciences (P.W.), John Radcliffe Hospital, University of Oxford, United Kingdom; Department of Pediatrics (E.A.Y.), University of Toronto, Ontario, Canada; Center for Neuroinflammation and Neurotherapeutics (A.B.-O.), and Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Internal Medicine (R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; and Division of Child Neurology (B.B.), Department of Neurology, The Children's Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania
| | - E Ann Yeh
- From the Department of Medicine (G.F), University of Ottawa, Ottawa Hospital Research Institute; Montreal Neurological Institute (A.C.P., S.N., D.L.A., D.L.C.), McGill University, Quebec; Department of Community Health Sciences (J.O.M., R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; Nuffield Department of Clinical Neurosciences (P.W.), John Radcliffe Hospital, University of Oxford, United Kingdom; Department of Pediatrics (E.A.Y.), University of Toronto, Ontario, Canada; Center for Neuroinflammation and Neurotherapeutics (A.B.-O.), and Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Internal Medicine (R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; and Division of Child Neurology (B.B.), Department of Neurology, The Children's Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania
| | - Amit Bar-Or
- From the Department of Medicine (G.F), University of Ottawa, Ottawa Hospital Research Institute; Montreal Neurological Institute (A.C.P., S.N., D.L.A., D.L.C.), McGill University, Quebec; Department of Community Health Sciences (J.O.M., R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; Nuffield Department of Clinical Neurosciences (P.W.), John Radcliffe Hospital, University of Oxford, United Kingdom; Department of Pediatrics (E.A.Y.), University of Toronto, Ontario, Canada; Center for Neuroinflammation and Neurotherapeutics (A.B.-O.), and Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Internal Medicine (R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; and Division of Child Neurology (B.B.), Department of Neurology, The Children's Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania
| | - Ruth Ann Marrie
- From the Department of Medicine (G.F), University of Ottawa, Ottawa Hospital Research Institute; Montreal Neurological Institute (A.C.P., S.N., D.L.A., D.L.C.), McGill University, Quebec; Department of Community Health Sciences (J.O.M., R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; Nuffield Department of Clinical Neurosciences (P.W.), John Radcliffe Hospital, University of Oxford, United Kingdom; Department of Pediatrics (E.A.Y.), University of Toronto, Ontario, Canada; Center for Neuroinflammation and Neurotherapeutics (A.B.-O.), and Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Internal Medicine (R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; and Division of Child Neurology (B.B.), Department of Neurology, The Children's Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania
| | - Sridar Narayanan
- From the Department of Medicine (G.F), University of Ottawa, Ottawa Hospital Research Institute; Montreal Neurological Institute (A.C.P., S.N., D.L.A., D.L.C.), McGill University, Quebec; Department of Community Health Sciences (J.O.M., R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; Nuffield Department of Clinical Neurosciences (P.W.), John Radcliffe Hospital, University of Oxford, United Kingdom; Department of Pediatrics (E.A.Y.), University of Toronto, Ontario, Canada; Center for Neuroinflammation and Neurotherapeutics (A.B.-O.), and Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Internal Medicine (R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; and Division of Child Neurology (B.B.), Department of Neurology, The Children's Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania
| | - Douglas L Arnold
- From the Department of Medicine (G.F), University of Ottawa, Ottawa Hospital Research Institute; Montreal Neurological Institute (A.C.P., S.N., D.L.A., D.L.C.), McGill University, Quebec; Department of Community Health Sciences (J.O.M., R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; Nuffield Department of Clinical Neurosciences (P.W.), John Radcliffe Hospital, University of Oxford, United Kingdom; Department of Pediatrics (E.A.Y.), University of Toronto, Ontario, Canada; Center for Neuroinflammation and Neurotherapeutics (A.B.-O.), and Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Internal Medicine (R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; and Division of Child Neurology (B.B.), Department of Neurology, The Children's Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania
| | - D Louis Collins
- From the Department of Medicine (G.F), University of Ottawa, Ottawa Hospital Research Institute; Montreal Neurological Institute (A.C.P., S.N., D.L.A., D.L.C.), McGill University, Quebec; Department of Community Health Sciences (J.O.M., R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; Nuffield Department of Clinical Neurosciences (P.W.), John Radcliffe Hospital, University of Oxford, United Kingdom; Department of Pediatrics (E.A.Y.), University of Toronto, Ontario, Canada; Center for Neuroinflammation and Neurotherapeutics (A.B.-O.), and Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Internal Medicine (R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; and Division of Child Neurology (B.B.), Department of Neurology, The Children's Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania
| | - Brenda Banwell
- From the Department of Medicine (G.F), University of Ottawa, Ottawa Hospital Research Institute; Montreal Neurological Institute (A.C.P., S.N., D.L.A., D.L.C.), McGill University, Quebec; Department of Community Health Sciences (J.O.M., R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; Nuffield Department of Clinical Neurosciences (P.W.), John Radcliffe Hospital, University of Oxford, United Kingdom; Department of Pediatrics (E.A.Y.), University of Toronto, Ontario, Canada; Center for Neuroinflammation and Neurotherapeutics (A.B.-O.), and Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia; Department of Internal Medicine (R.A.M.), Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; and Division of Child Neurology (B.B.), Department of Neurology, The Children's Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania.
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AbdelRazek MA, Tummala S, Khalid F, Tauhid S, Jalkh Y, Khalil S, Hurwitz S, Zurawski J, Bakshi R. Exploring the effect of glatiramer acetate on cerebral gray matter atrophy in multiple sclerosis. J Neurol Sci 2023; 444:120501. [PMID: 36481574 DOI: 10.1016/j.jns.2022.120501] [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: 06/13/2022] [Revised: 11/14/2022] [Accepted: 11/15/2022] [Indexed: 11/19/2022]
Abstract
BACKGROUND AND PURPOSE Cerebral gray matter (GM) atrophy is a proposed measure of neuroprotection in multiple sclerosis (MS). Glatiramer acetate (GA) limits clinical relapses, MRI lesions, and whole brain atrophy in relapsing-remitting MS (RRMS). The effect of GA on GM atrophy remains unclear. We assessed GM atrophy in patients with RRMS starting GA therapy in comparison to a cohort of patients with clinically benign RRMS (BMS). DESIGN/METHODS We studied 14 patients at GA start [age (mean ± SD) 44.2 ± 7.0 years, disease duration (DD) 7.2 ± 6.4 years, Expanded Disability Status Scale score (EDSS) (median,IQR) 1.0,2.0] and 6 patients with BMS [age 43.0 ± 6.1 years, DD 18.1 ± 8.4 years, EDSS 0.5,1.0]. Brain MRI was obtained at baseline and one year later (both groups) and two years later in all patients in the GA group except one who was lost to follow-up. Semi-automated algorithms assessed cerebral T2 hyperintense lesion volume (T2LV), white matter fraction (WMF), GM fraction (GMF), and brain parenchymal fraction (BPF). The exact Wilcoxon-Mann-Whitney test compared the groups. The Wilcoxon signed rank test assessed longitudinal changes within groups. RESULTS During the first year, MRI changes did not differ significantly between groups (p > 0.15). Within the BMS group, WMF and BPF decreased during the first year (p = 0.03). Within the GA group, there was no significant change in MRI measures during each annual period (p > 0.05). Over two years, the GA group had a significant increase in T2LV and decrease in WMF (p < 0.05), while GMF and BPF remained stable (p > 0.05). MRI changes in brain volumes (GMF or WMF) in the first year in the GA group were not significantly different from those in the BMS group (p > 0.5). CONCLUSIONS In this pilot study with a small sample size, patients with RRMS started on GA did not show significant GM or whole brain atrophy over 2 years, resembling MS patients with a clinically benign disease course.
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Affiliation(s)
| | - Subhash Tummala
- Departments of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Fariha Khalid
- Departments of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Shahamat Tauhid
- Departments of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Youmna Jalkh
- Departments of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Samar Khalil
- Departments of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Shelley Hurwitz
- Departments of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jonathan Zurawski
- Departments of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Rohit Bakshi
- Departments of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Departments of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
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Pagani E, Storelli L, Pantano P, Petsas N, Tedeschi G, Gallo A, De Stefano N, Battaglini M, Rocca MA, Filippi M. Multicenter data harmonization for regional brain atrophy and application in multiple sclerosis. J Neurol 2023; 270:446-459. [PMID: 36152049 DOI: 10.1007/s00415-022-11387-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 09/15/2022] [Accepted: 09/16/2022] [Indexed: 01/07/2023]
Abstract
BACKGROUND In multiple sclerosis (MS), determination of regional brain atrophy is clinically relevant. However, analysis of large datasets is rare because of the increased variability in multicenter data. PURPOSE To compare different methods to correct for center effects. To investigate regional gray matter (GM) volume in relapsing-remitting MS in a large multicenter dataset. METHODS MRI scans of 466 MS patients and 279 healthy controls (HC) were retrieved from the Italian Neuroimaging Network Initiative repository. Voxel-based morphometry was performed. The center effect was accounted for with different methods: (a) no correction, (b) factor in the statistical model, (c) ComBat method and (d) subsampling procedure to match single-center distributions. By applying the best correction method, GM atrophy was assessed in MS patients vs HC and according to clinical disability, disease duration and T2 lesion volume. Results were assessed voxel-wise using general linear model. RESULTS The average residuals for the harmonization methods were 5.03 (a), 4.42 (b), 4.26 (c) and 2.98 (d). The comparison between MS patients and HC identified thalami and other deep GM nuclei, the cerebellum and several cortical regions. At single-center analysis, the thalami were always involved, whereas different other regions were found in each center. Cerebellar atrophy correlated with clinical disability, while deep GM nuclei atrophy correlated with T2-lesion volume. CONCLUSION Harmonization based on subsampling more effectively decreased the residuals of the statistical model applied. In comparison with findings from single-center analysis, the multicenter results were more robust, highlighting the importance of data repositories from multiple centers.
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Affiliation(s)
- Elisabetta Pagani
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy
| | - Loredana Storelli
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy
| | - Patrizia Pantano
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy.,IRCCS NEUROMED, Pozzilli, Italy
| | - Nikolaos Petsas
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Gioacchino Tedeschi
- Department of Advanced Medical and Surgical Sciences, and 3T MRI-Center, University of Campania 'Luigi Vanvitelli', Naples, Italy
| | - Antonio Gallo
- Department of Advanced Medical and Surgical Sciences, and 3T MRI-Center, University of Campania 'Luigi Vanvitelli', Naples, Italy
| | - Nicola De Stefano
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Marco Battaglini
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Maria A Rocca
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy. .,Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy. .,Vita-Salute San Raffaele University, Milan, Italy. .,Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy. .,Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy.
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7
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N-Acetyl Cysteine as a Neuroprotective Agent in Progressive Multiple Sclerosis (NACPMS) trial: Study protocol for a randomized, double-blind, placebo-controlled add-on phase 2 trial. Contemp Clin Trials 2022; 122:106941. [PMID: 36182028 DOI: 10.1016/j.cct.2022.106941] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Revised: 08/16/2022] [Accepted: 09/25/2022] [Indexed: 01/27/2023]
Abstract
INTRODUCTION Patients with progressive multiple sclerosis (PMS) experience relentless disability worsening. Current approved therapies have very modest effects on disability progression and purely focus on immunomodulation. While some inflammatory processes exist in non-active PMS, other biological processes such as neuronal injury from oxidative stress are likely more critical. N-acetyl cysteine (NAC) directly scavenges free radicals and restores neuronal glutathione, a major endogenous antioxidant. Our group has recently evaluated the safety of high dose NAC in a pilot trial in PMS with no tolerability concerns. We aim now to assess the safety, tolerability, and effect of NAC on progression of several MRI, clinical and biological markers in PMS patients. METHODS The NACPMS trial is a multi-site, randomized, double-blind, parallel-group, placebo-controlled add-on phase 2 trial. Ninety-eight PMS patients with EDSS 3.0-7.0 and aged 40-70 years will be randomized to NAC 1200 mg TID or matching placebo (1:1) as an add-on to the standard of care stratified by site and disease type during a 15-month intervention period. It is hypothesized that a reduction in oxidative stress injury will lessen brain atrophy estimated by MRI. The primary outcome analysis will compare the percent change over 12 months (Month 15 vs Month 3) between treatment and control arms using multivariable linear regression adjusted by age, sex, and disease duration. ETHICS This study was approved by the Institutional Review Board at the University of California, San Francisco (IRB21-34143), and an Investigational New Drug approval was obtained from the FDA (IND127184). TRIAL REGISTRATION NCT05122559.
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Lie IA, Wesnes K, Kvistad SS, Brouwer I, Wergeland S, Holmøy T, Midgard R, Bru A, Edland A, Eikeland R, Gosal S, Harbo HF, Kleveland G, Sørenes YS, Øksendal N, Barkhof F, Vrenken H, Myhr KM, Bø L, Torkildsen Ø. The Effect of Smoking on Long-term Gray Matter Atrophy and Clinical Disability in Patients with Relapsing-Remitting Multiple Sclerosis. NEUROLOGY - NEUROIMMUNOLOGY NEUROINFLAMMATION 2022; 9:9/5/e200008. [PMID: 35738901 PMCID: PMC9223432 DOI: 10.1212/nxi.0000000000200008] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 05/06/2022] [Indexed: 11/15/2022]
Abstract
Background and Objectives The relationship between smoking, long-term brain atrophy, and clinical disability in patients with multiple sclerosis (MS) is unclear. Here, we assessed long-term effects of smoking by evaluating MRI and clinical outcome measures after 10 years in smoking and nonsmoking patients with relapsing-remitting MS (RRMS). Methods We included 85 treatment-naive patients with RRMS with recent inflammatory disease activity who participated in a 10-year follow-up visit after a multicenter clinical trial of 24 months. Smoking status was decided for each patient by 2 separate definitions: by serum cotinine levels measured regularly for the first 2 years of the follow-up (during the clinical trial) and by retrospective patient self-reporting. At the 10-year follow-up visit, clinical tests were repeated, and brain atrophy measures were obtained from MRI using FreeSurfer. Differences in clinical and MRI measurements at the 10-year follow-up between smokers and nonsmokers were investigated by 2-sample t tests or Mann-Whitney tests and linear mixed-effect regression models. All analyses were conducted separately for each definition of smoking status. Results After 10 years, smoking (defined by serum cotinine levels) was associated with lower total white matter volume (β = −21.74, p = 0.039) and higher logT2 lesion volume (β = 0.22, p = 0.011). When defining smoking status by patient self-reporting, the repeated analyses found an additional association with lower deep gray matter volume (β = −2.35, p = 0.049), and smoking was also associated with a higher score (higher walking impairment) on the log timed 25-foot walk test (β = 0.050, p = 0.039) after 10 years and a larger decrease in paced auditory serial addition test (attention) scores (β = −3.58, p = 0.029). Discussion Smoking was associated with brain atrophy and disability progression 10 years later in patients with RRMS. The findings imply that patients should be advised and offered aid in smoking cessation shortly after diagnosis, to prevent long-term disability progression.
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Affiliation(s)
- Ingrid Anne Lie
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway.
| | - Kristin Wesnes
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Silje S Kvistad
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Iman Brouwer
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Stig Wergeland
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Trygve Holmøy
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Rune Midgard
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Alla Bru
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Astrid Edland
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Randi Eikeland
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Sonia Gosal
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Hanne F Harbo
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Grethe Kleveland
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Yvonne S Sørenes
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Nina Øksendal
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Frederik Barkhof
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Hugo Vrenken
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Kjell-Morten Myhr
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Lars Bø
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Øivind Torkildsen
- From the Department of Clinical Medicine (I.A.L., K.-M.M., L.B., Ø.T.), University of Bergen; Neuro-SysMed, Department of Neurology, Haukeland University Hospital (I.A.L., K.W., S.S.K., S.W., K.-M.M., Ø.T.), Bergen; St. Olav's University Hospital (K.W.), Trondheim; Department of Immunology and Transfusion Medicine (S.S.K.), Haukeland University Hospital, Bergen, Norway; Department of Radiology and Nuclear Medicine (I.B., F.B., H.V.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, location VUmc, The Netherlands; Norwegian Multiple Sclerosis Registry and Biobank (S.W.), Department of Neurology, Haukeland University Hospital, Bergen; Institute of Clinical Medicine (T.H., H.F.H.), University of Oslo; Department of Neurology, Akershus University Hospital (T.H.), Lørenskog; Department of Neurology (R.M.), Molde Hospital; Department of Neurology (A.B.), Stavanger University Hospital; Department of Neurology (A.E.), Vestre Viken Hospital Trust, Drammen; Department of Research and Education (R.E.), Sørlandet Hospital Trust, Kristiansand; Faculty of Health and Sport Science (R.E.), University of Agder, Grimstad; Department of Neurology (S.G.), Østfold Hospital Kalnes, Grålum; Department of Neurology (H.F.H.), Oslo University Hospital; Department of Neurology (G.K.), Innlandet Hospital Lillehammer; Department of Neurology (Y.S.S.), Haugesund Hospital; Department of Neurology (N.Ø.), Nordland Hospital Trust, Bodø, Norway; Institutes of Neurology and Healthcare Engineering (F.B.), University College London, Great Britain; and Norwegian Multiple Sclerosis Competence Centre (L.B.), Department of Neurology, Haukeland University Hospital, Bergen, Norway
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Arnold DL, Sprenger T, Bar-Or A, Wolinsky JS, Kappos L, Kolind S, Bonati U, Magon S, van Beek J, Koendgen H, Bortolami O, Bernasconi C, Gaetano L, Traboulsee A. Ocrelizumab reduces thalamic volume loss in patients with RMS and PPMS. Mult Scler 2022; 28:1927-1936. [PMID: 35672926 PMCID: PMC9493406 DOI: 10.1177/13524585221097561] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background: In multiple sclerosis (MS), thalamic integrity is affected directly by demyelination and neuronal loss, and indirectly by gray/white matter lesions outside the thalamus, altering thalamic neuronal projections. Objective: To assess the efficacy of ocrelizumab compared with interferon beta-1a (IFNβ1a)/placebo on thalamic volume loss and the effect of switching to ocrelizumab on volume change in the Phase III trials in relapsing MS (RMS, OPERA I/II; NCT01247324/NCT01412333) and in primary progressive MS (PPMS, ORATORIO; NCT01194570). Methods: Thalamic volume change was computed using paired Jacobian integration and analyzed using an adjusted mixed-effects repeated measurement model. Results: Over the double-blind period, ocrelizumab treatment significantly reduced thalamic volume loss with the largest effect size (Cohen’s d: RMS: 0.561 at week 96; PPMS: 0.427 at week 120) compared with whole brain, cortical gray matter, and white matter volume loss. At the end of up to 7 years of follow-up, patients initially randomized to ocrelizumab still showed less thalamic volume loss than those switching from IFNβ1a ( p < 0.001) or placebo ( p < 0.001). Conclusion: Ocrelizumab effectively reduced thalamic volume loss compared with IFNβ1a/placebo. Early treatment effects on thalamic tissue preservation persisted over time. Thalamic volume loss could be a potential sensitive marker of persisting tissue damage.
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Affiliation(s)
- Douglas L Arnold
- Montreal Neurological Institute, McGill University, Montreal, QC, Canada/NeuroRx Research, Montreal, QC, Canada
| | - Till Sprenger
- Department of Neurology, DKD Helios Klinik Wiesbaden, Wiesbaden, Germany/Research Center for Clinical Neuroimmunology and Neuroscience and MS Center, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Amit Bar-Or
- Department of Neurology and Center for Neuroinflammation and Experimental Therapeutics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jerry S Wolinsky
- McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
| | - Ludwig Kappos
- Research Center for Clinical Neuroimmunology and Neuroscience and MS Center, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | | | | | | | - Johan van Beek
- F. Hoffmann-La Roche Ltd, Basel, Switzerland/Biogen, Baar, Switzerland
| | - Harold Koendgen
- F. Hoffmann-La Roche Ltd, Basel, Switzerland/UCB Farchim SA, Bulle, Switzerland
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10
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Lie IA, Kaçar S, Wesnes K, Brouwer I, Kvistad SS, Wergeland S, Holmøy T, Midgard R, Bru A, Edland A, Eikeland R, Gosal S, Harbo HF, Kleveland G, Sørenes YS, Øksendal N, Varhaug KN, Vedeler CA, Barkhof F, Teunissen CE, Bø L, Torkildsen Ø, Myhr KM, Vrenken H. Serum neurofilament as a predictor of 10-year grey matter atrophy and clinical disability in multiple sclerosis: a longitudinal study. J Neurol Neurosurg Psychiatry 2022; 93:jnnp-2021-328568. [PMID: 35649699 PMCID: PMC9304101 DOI: 10.1136/jnnp-2021-328568] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Accepted: 05/18/2022] [Indexed: 11/18/2022]
Abstract
BACKGROUND The predictive value of serum neurofilament light chain (sNfL) on long-term prognosis in multiple sclerosis (MS) is still unclear. OBJECTIVE Investigate the relation between sNfL levels over a 2-year period in patients with relapsing-remitting MS, and clinical disability and grey matter (GM) atrophy after 10 years. METHODS 85 patients, originally enrolled in a multicentre, randomised trial of ω-3 fatty acids, participated in a 10-year follow-up visit. sNfL levels were measured by Simoa quarterly until month 12, and then at month 24. The appearance of new gadolinium-enhancing (Gd+) lesions was assessed monthly between baseline and month 9, and then at months 12 and 24. At the 10-year follow-up visit, brain atrophy measures were obtained using FreeSurfer. RESULTS Higher mean sNfL levels during early periods of active inflammation (Gd+ lesions present or recently present) predicted lower total (β=-0.399, p=0.040) and deep (β=-0.556, p=0.010) GM volume, lower mean cortical thickness (β=-0.581, p=0.010) and higher T2 lesion count (β=0.498, p=0.018). Of the clinical outcomes, higher inflammatory sNfL levels were associated with higher disability measured by the dominant hand Nine-Hole Peg Test (β=0.593, p=0.004). Mean sNfL levels during periods of remission (no Gd+ lesions present or recently present) did not predict GM atrophy or disability progression. CONCLUSION Higher sNfL levels during periods of active inflammation predicted more GM atrophy and specific aspects of clinical disability 10 years later. The findings suggest that subsequent long-term GM atrophy is mainly due to neuroaxonal degradation within new lesions.
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Affiliation(s)
- Ingrid Anne Lie
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Neuro-SysMed, Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Sezgi Kaçar
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, The Netherlands
| | - Kristin Wesnes
- Neuro-SysMed, Department of Neurology, Haukeland University Hospital, Bergen, Norway
- Department of Neurology, St. Olav's University Hospital, Trondheim, Norway
| | - Iman Brouwer
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, The Netherlands
| | - Silje S Kvistad
- Neuro-SysMed, Department of Neurology, Haukeland University Hospital, Bergen, Norway
- Department of Immunology and Transfusion Medicine, Haukeland University Hospital, Bergen, Norway
| | - Stig Wergeland
- Neuro-SysMed, Department of Neurology, Haukeland University Hospital, Bergen, Norway
- Norwegian Multiple Sclerosis Registry and Biobank, Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Trygve Holmøy
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Neurology, Akershus University Hospital, Lorenskog, Norway
| | - Rune Midgard
- Department of Neurology, Molde Hospital, Molde, Norway
| | - Alla Bru
- Department of Neurology, Stavanger University Hospital, Stavanger, Norway
| | - Astrid Edland
- Department of Neurology, Vestre Viken Hospital Trust, Drammen, Norway
| | - Randi Eikeland
- Department of Research and Education, Sørlandet Hospital Trust, Kristiansand, Norway
- Faculty of Health and Sport Science, University of Agder, Grimstad, Norway
| | - Sonia Gosal
- Department of Neurology, Østfold Hospital Kalnes, Grålum, Norway
| | - Hanne F Harbo
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Grethe Kleveland
- Department of Neurology, Innlandet Hospital Trust, Lillehammer, Norway
| | | | - Nina Øksendal
- Department of Neurology, Nordland Hospital Trust, Bodø, Norway
| | - Kristin N Varhaug
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Neuro-SysMed, Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Christian A Vedeler
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Neuro-SysMed, Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, The Netherlands
- Institutes of Neurology and Healthcare Engineering, UCL, London, UK
| | - Charlotte E Teunissen
- Neurochemistry Laboratory, Clinical Chemistry Department, Amsterdam Neuroscience, Amsterdam University Medical Centres, Amsterdam, The Netherlands
| | - Lars Bø
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Norwegian Multiple Sclerosis Competence Centre, Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Øivind Torkildsen
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Neuro-SysMed, Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Kjell-Morten Myhr
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Neuro-SysMed, Department of Neurology, Haukeland University Hospital, Bergen, Norway
| | - Hugo Vrenken
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Amsterdam, The Netherlands
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11
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Birk F, Glang F, Loktyushin A, Birkl C, Ehses P, Scheffler K, Heule R. High-resolution neural network-driven mapping of multiple diffusion metrics leveraging asymmetries in the balanced steady-state free precession frequency profile. NMR IN BIOMEDICINE 2022; 35:e4669. [PMID: 34964998 DOI: 10.1002/nbm.4669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 12/04/2021] [Accepted: 12/06/2021] [Indexed: 06/14/2023]
Abstract
We propose to utilize the rich information content about microstructural tissue properties entangled in asymmetric balanced steady-state free precession (bSSFP) profiles to estimate multiple diffusion metrics simultaneously by neural network (NN) parameter quantification. A 12-point bSSFP phase-cycling scheme with high-resolution whole-brain coverage is employed at 3 and 9.4 T for NN input. Low-resolution target diffusion data are derived based on diffusion-weighted spin-echo echo-planar-imaging (SE-EPI) scans, that is, mean, axial, and radial diffusivity (MD, AD, and RD), fractional anisotropy (FA), as well as the spherical coordinates (azimuth Φ and inclination ϴ) of the principal diffusion eigenvector. A feedforward NN is trained with incorporated probabilistic uncertainty estimation. The NN predictions yielded highly reliable results in white matter (WM) and gray matter structures for MD. The quantification of FA, AD, and RD was overall in good agreement with the reference but the dependence of these parameters on WM anisotropy was somewhat biased (e.g. in corpus callosum). The inclination ϴ was well predicted for anisotropic WM structures, while the azimuth Φ was overall poorly predicted. The findings were highly consistent across both field strengths. Application of the optimized NN to high-resolution input data provided whole-brain maps with rich structural details. In conclusion, the proposed NN-driven approach showed potential to provide distortion-free high-resolution whole-brain maps of multiple diffusion metrics at high to ultrahigh field strengths in clinically relevant scan times.
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Affiliation(s)
- Florian Birk
- High Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübingen, Germany
| | - Felix Glang
- High Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübingen, Germany
| | - Alexander Loktyushin
- High Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübingen, Germany
- Empirical Inference, Max Planck Institute for Intelligent Systems, Tübingen, Germany
| | - Christoph Birkl
- Department of Neuroradiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Philipp Ehses
- German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany
| | - Klaus Scheffler
- High Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübingen, Germany
- Department of Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany
| | - Rahel Heule
- High Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Tübingen, Germany
- Department of Biomedical Magnetic Resonance, University of Tübingen, Tübingen, Germany
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12
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Carolus K, Fuchs TA, Bergsland N, Ramasamy D, Tran H, Uher T, Horakova D, Vaneckova M, Havrdova E, Benedict RHB, Zivadinov R, Dwyer MG. Time course of lesion-induced atrophy in multiple sclerosis. J Neurol 2022; 269:4478-4487. [PMID: 35394170 DOI: 10.1007/s00415-022-11094-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2022] [Revised: 03/18/2022] [Accepted: 03/20/2022] [Indexed: 11/26/2022]
Abstract
BACKGROUND AND PURPOSE White matter (WM) tract disruption impacts volume loss in connected deep gray matter (DGM) over 5 years in people with multiple sclerosis (PwMS). However, the timeline of this phenomenon remains poorly characterized. MATERIALS AND METHODS Annual serial MRI for 181 PwMS was retrospectively analyzed from a 10-year clinical trial database. Annualized thalamic atrophy, DGM atrophy, and disruption of connected WM tracts were measured. For time series analysis, ~700 epochs were collated using a sliding 5-year window, and regression models predicting 1-year atrophy were applied to characterize the influence of new tract disruption from preceding years, while controlling for whole brain atrophy and other relevant factors. RESULTS Disruptions of WM tracts connected to the thalamus were significantly associated with thalamic atrophy 1 year later (β: 0.048-0.103). This effect was not observed for thalamic tract disruption concurrent with the time of atrophy nor for thalamic tract disruption preceding the atrophy by 2-4 years. Similarly, disruptions of white matter tracts connected to the DGM were significantly associated with DGM atrophy 1 year later (β: 0.078-0.111), but not for tract disruption concurrent with, nor preceding the atrophy by 2-4 years. CONCLUSION Increased rates of thalamic and DGM atrophy were restricted to 1 year following newly developed disruption in connected WM tracts. In research and clinical settings, additional gray matter atrophy may be expected 1 year following new lesion growth in connected white matter.
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Affiliation(s)
- Keith Carolus
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Tom A Fuchs
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
- Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
- IRCCS, Fondazione Don Carlo Gnocchi, Milan, Italy
| | - Deepa Ramasamy
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Hoan Tran
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Tomas Uher
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Dana Horakova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Manuela Vaneckova
- Department of Radiology, First Faculty of Medicine, Charles University, General University Hospital, Prague, Czech Republic
| | - Eva Havrdova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Ralph H B Benedict
- Jacobs Multiple Sclerosis Center, Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
- Center for Biomedical Imaging at Clinical Translational Science Institute, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 14203, USA
| | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.
- Center for Biomedical Imaging at Clinical Translational Science Institute, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 14203, USA.
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13
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Lokhande H, Rosso M, Tauhid S, Chu R, Healy BC, Saxena S, Barro C, Paul A, Polgar-Turcsanyi M, Anderson M, Glanz BI, Kropshofer H, Granziera C, Leppert D, Kappos L, Kuhle J, Weiner HL, Bakshi R, Chitnis T. Serum NfL levels in the first five years predict 10-year thalamic fraction in patients with MS. Mult Scler J Exp Transl Clin 2022; 8:20552173211069348. [PMID: 35035990 PMCID: PMC8753083 DOI: 10.1177/20552173211069348] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Revised: 11/22/2021] [Accepted: 11/23/2021] [Indexed: 11/16/2022] Open
Abstract
Background Serum neurofilament light chain (sNfL) levels are associated with relapses, MRI lesions, and brain volume in multiple sclerosis (MS). Objective To explore the value of early serum neurofilament light (sNfL) measures in prognosticating 10-year regional brain volumes in MS. Methods Patients with MS enrolled in the Comprehensive Longitudinal Investigations in MS at Brigham and Women's Hospital (CLIMB) study within five years of disease onset who had annual blood samples from years 1–10 (n = 91) were studied. sNfL was measured with a single molecule array (SIMOA) assay. We quantified global cortical thickness and normalized deep gray matter (DGM) volumes (fractions of the thalamus, caudate, putamen, and globus pallidus) from high-resolution 3 T MRI at 10 years. Correlations between yearly sNfL levels and 10-year MRI outcomes were assessed using linear regression models. Results sNfL levels from years 1 and 2 were associated with 10-year thalamus fraction. Early sNfL levels were not associated with 10-year putamen, globus pallidus or caudate fractions. At 10 years, cortical thickness was not associated with early sNfL levels, but was weakly correlated with total DGM fraction. Conclusions Early sNfL levels correlate with 10-year thalamic volume, supporting its role as a prognostic biomarker in MS.
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Affiliation(s)
| | - Mattia Rosso
- Department of Neurology, Harvard Medical School, Boston, MA, USA
| | | | - Renxin Chu
- Brigham Multiple Sclerosis Center, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | - Brian C Healy
- Department of Neurology, Harvard Medical School, Boston, MA, USA
| | - Shrishti Saxena
- Department of Neurology, Harvard Medical School, Boston, MA, USA
| | - Christian Barro
- Department of Neurology, Harvard Medical School, Boston, MA, USA
| | | | | | - Mark Anderson
- Department of Neurology, Harvard Medical School, Boston, MA, USA
| | - Bonnie I Glanz
- Brigham Multiple Sclerosis Center, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
| | | | - Cristina Granziera
- Neurologic Clinic and Policlinic, Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | | | | | - Jens Kuhle
- Neurologic Clinic and Policlinic, Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | | | | | - Tanuja Chitnis
- Brigham Multiple Sclerosis Center, Department of Neurology, Brigham and Women's Hospital, Boston, MA, USA
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14
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Homos MD. Can white matter lesion burden predict involvement of normal appearing thalami in multiple sclerosis? Study using 3D FLAIR and DTI. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2021. [DOI: 10.1186/s43055-021-00406-3] [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
Multiple sclerosis is a chronic demyelinating disease that affects the white and grey matter. The thalamus is responsible for many neurological functions, and it is liable to damage in multiple sclerosis in the absence of MRI-detectable thalamic lesions. Standardized imaging protocol for multiple sclerosis includes 3D FLAIR sequence that is highly sensitive in detecting white matter lesions. Owing to the thalamic functional importance, we aim in this study to show to what extent the standardized imaging protocol (3D FLAIR) can predict microscopic damage of normal appearing thalami, depending on DTI metrics (ADC and FA) as indicators of the microscopic damage.
Results
We examined 42 multiple sclerosis patients, 16 males and 26 females, with mean age 29 ± 6 years using 3D FLAIR sequence to delineate the white matter lesions and calculate their total areas and using DTI to calculate the average ADC and FA values of the thalami. Spearman’s correlation coefficient (r) was used to correlate between the white matter lesion burden and the thalamic diffusivity (ADC and FA).
Moderate correlation was found between average ADC values of the thalami and the total white matter lesion areas (r = 0.5, p = 0.03).
Very weak correlation was found between average FA values of the thalami and the total white matter lesion areas (r = − 0.1, p = 0.6)
Conclusion
White matter lesion burden detected using the highly sensitive 3D FLAIR sequence does not always correlate with the microstructural damage in normal appearing thalami. DTI needs to be added to the examination protocol if damage of normal appearing thalami is of concern.
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15
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Bussas M, Grahl S, Pongratz V, Berthele A, Gasperi C, Andlauer T, Gaser C, Kirschke JS, Wiestler B, Zimmer C, Hemmer B, Mühlau M. Gray matter atrophy in relapsing-remitting multiple sclerosis is associated with white matter lesions in connecting fibers. Mult Scler 2021; 28:900-909. [PMID: 34591698 PMCID: PMC9024016 DOI: 10.1177/13524585211044957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background: Lesions of brain white matter (WM) and atrophy of brain gray matter (GM) are well-established surrogate parameters in multiple sclerosis (MS), but it is unclear how closely these parameters relate to each other. Objective: To assess across the whole cerebrum whether GM atrophy can be explained by lesions in connecting WM tracts. Methods: GM images of 600 patients with relapsing-remitting MS (women = 68%; median age = 33.0 years, median expanded disability status scale score = 1.5) were converted to atrophy maps by data from a healthy control cohort. An atlas of WM tracts from the Human Connectome Project and individual lesion maps were merged to identify potentially disconnected GM regions, leading to individual disconnectome maps. Across the whole cerebrum, GM atrophy and potentially disconnected GM were tested for association both cross-sectionally and longitudinally. Results: We found highly significant correlations between disconnection and atrophy across most of the cerebrum. Longitudinal analysis demonstrated a close temporal relation of WM lesion formation and GM atrophy in connecting fibers. Conclusion: GM atrophy is associated with WM lesions in connecting fibers. Caution is warranted when interpreting group differences in GM atrophy exclusively as differences in early neurodegeneration independent of WM lesion formation.
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Affiliation(s)
- Matthias Bussas
- Department of Neurology, School of Medicine, Technical University of Munich, Munich, Germany/TUM-Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany
| | - Sophia Grahl
- Department of Neurology, School of Medicine, Technical University of Munich, Munich, Germany/TUM-Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany
| | - Viola Pongratz
- Department of Neurology, School of Medicine, Technical University of Munich, Munich, Germany/TUM-Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany
| | - Achim Berthele
- Department of Neurology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Christiane Gasperi
- Department of Neurology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Till Andlauer
- Department of Neurology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Christian Gaser
- Department of Psychiatry and Department of Neurology, Jena University Hospital, Jena, Germany
| | - Jan S Kirschke
- Department of Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Benedikt Wiestler
- Department of Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Claus Zimmer
- Department of Neuroradiology, School of Medicine, Technical University of Munich, Munich, Germany
| | - Bernhard Hemmer
- Department of Neurology, School of Medicine, Technical University of Munich, Munich, Germany/Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Mark Mühlau
- Department of Neurology, School of Medicine, Technical University of Munich, Munich, Germany/TUM-Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany
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16
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Ontaneda D, Raza PC, Mahajan KR, Arnold DL, Dwyer MG, Gauthier SA, Greve DN, Harrison DM, Henry RG, Li DKB, Mainero C, Moore W, Narayanan S, Oh J, Patel R, Pelletier D, Rauscher A, Rooney WD, Sicotte NL, Tam R, Reich DS, Azevedo CJ. Deep grey matter injury in multiple sclerosis: a NAIMS consensus statement. Brain 2021; 144:1974-1984. [PMID: 33757115 PMCID: PMC8370433 DOI: 10.1093/brain/awab132] [Citation(s) in RCA: 38] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Revised: 01/28/2021] [Accepted: 02/01/2021] [Indexed: 11/13/2022] Open
Abstract
Although multiple sclerosis has traditionally been considered a white matter disease, extensive research documents the presence and importance of grey matter injury including cortical and deep regions. The deep grey matter exhibits a broad range of pathology and is uniquely suited to study the mechanisms and clinical relevance of tissue injury in multiple sclerosis using magnetic resonance techniques. Deep grey matter injury has been associated with clinical and cognitive disability. Recently, MRI characterization of deep grey matter properties, such as thalamic volume, have been tested as potential clinical trial end points associated with neurodegenerative aspects of multiple sclerosis. Given this emerging area of interest and its potential clinical trial relevance, the North American Imaging in Multiple Sclerosis (NAIMS) Cooperative held a workshop and reached consensus on imaging topics related to deep grey matter. Herein, we review current knowledge regarding deep grey matter injury in multiple sclerosis from an imaging perspective, including insights from histopathology, image acquisition and post-processing for deep grey matter. We discuss the clinical relevance of deep grey matter injury and specific regions of interest within the deep grey matter. We highlight unanswered questions and propose future directions, with the aim of focusing research priorities towards better methods, analysis, and interpretation of results.
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Affiliation(s)
- Daniel Ontaneda
- Cleveland Clinic Mellen Center for Multiple Sclerosis Treatment and Research, Cleveland, OH 44195, USA
| | - Praneeta C Raza
- Cleveland Clinic Mellen Center for Multiple Sclerosis Treatment and Research, Cleveland, OH 44195, USA
| | - Kedar R Mahajan
- Cleveland Clinic Mellen Center for Multiple Sclerosis Treatment and Research, Cleveland, OH 44195, USA
| | - Douglas L Arnold
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec H3A 2B4, Canada
| | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences at the University at Buffalo, The State University of New York, Buffalo, NY 14214, USA
| | - Susan A Gauthier
- Department of Neurology, Weill Cornell Medicine, New York, NY 10021, USA
| | - Douglas N Greve
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA 02129, USA
- Department of Radiology, Harvard Medical School, Boston, MA 02129, USA
| | - Daniel M Harrison
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD 21201, USA
| | - Roland G Henry
- Department of Neurology, Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA 94143, USA
- The UC San Francisco and Berkeley Bioengineering Graduate Group, University of California San Francisco, San Francisco, CA 94143, USA
| | - David K B Li
- Department of Radiology and Medicine (Neurology), University of British Columbia, Vancouver, British Columbia V6T 2B5, Canada
| | - Caterina Mainero
- Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA 02129, USA
- Department of Radiology, Harvard Medical School, Boston, MA 02129, USA
| | - Wayne Moore
- Department of Pathology and Laboratory Medicine, and International Collaboration on Repair Discoveries (ICORD), University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada
| | - Sridar Narayanan
- McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University, Montreal, Quebec H3A 2B4, Canada
| | - Jiwon Oh
- Division of Neurology, St. Michael’s Hospital, University of Toronto, Toronto, Ontario M5B 1W8, Canada
| | - Raihaan Patel
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Verdun, Quebec H4H 1R3, Canada
- Department of Biological and Biomedical Engineering, McGill University, Montreal, Quebec H3A 2B4, Canada
| | - Daniel Pelletier
- Department of Neurology, University of Southern California Keck School of Medicine, Los Angeles, CA 90033, USA
| | - Alexander Rauscher
- Physics and Astronomy, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada
| | - William D Rooney
- Advanced Imaging Research Center, Oregon Health and Science University, Portland, OR 97239, USA
| | - Nancy L Sicotte
- Department of Neurology, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Roger Tam
- Department of Radiology and Medicine (Neurology), University of British Columbia, Vancouver, British Columbia V6T 2B5, Canada
- Biomedical Engineering, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada
| | - Daniel S Reich
- Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD 20824, USA
| | - Christina J Azevedo
- Department of Neurology, University of Southern California Keck School of Medicine, Los Angeles, CA 90033, USA
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17
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Kantorová E, Hnilicová P, Bogner W, Grendár M, Grossmann J, Kováčová S, Hečková E, Strasser B, Čierny D, Zeleňák K, Kurča E. Neurocognitive performance in relapsing-remitting multiple sclerosis patients is associated with metabolic abnormalities of the thalamus but not the hippocampus- GABA-edited 1H MRS study. Neurol Res 2021; 44:57-64. [PMID: 34313578 DOI: 10.1080/01616412.2021.1956282] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
OBJECTIVES Multiple sclerosis (MS) is an inflammatory demyelinating disease that may cause physical disabling as well as cognitive dysfunction. The presented study investigated how the neuropsychological status depends on the thalamus and hippocampus's metabolic processes, using γ-aminobutyric acid-edited magnetic resonance spectroscopy (GABA-edited 1H MRS) in patients with early MS, and how the results differ from healthy volunteers. METHODS We recruited 36 relapsing-remitting (RRMS) MS patients and 22 controls (CON). In addition to common 1H MRS metabolites, such as N-acetyl-aspartate (tNAA), myoinositol (mIns), total choline and creatine (tCr, tCho), we also evaluated GABA and glutamate/glutamine (Glx). Metabolite ratios were correlated with the results of Single-Digit Modality Test (SDMT) and Expanded Disability Status Score (EDSS). RESULTS In the thalamus, GABA ratios (GABA/tCr, GABA/tNAA) were significantly lower in RRMS patients than in CON. Both tCho- and mIns-ratios correlated with lower scores of SDMT but not with EDSS. Metabolic ratios in the hippocampus did not differ between RRMS and CON and did not correlate with any of performed tests. DISCUSSION This study is the first to provide GABA-edited 1H MRS evidence for MS-related metabolic changes of the thalamus and hippocampus. The findings underline the importance of evaluating subcortical grey matter in MS patients to improve understanding of the clinical manifestations of MS and as a potential future target for treatment.
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Affiliation(s)
- Ema Kantorová
- Clinic of Neurology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia
| | - Petra Hnilicová
- Biomedical Centre Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia
| | - Wolfgang Bogner
- Department of Biomedical Imaging and Image-Guided Therapy, High-field MR Center, Medical University of Vienna, Austria
| | - Marián Grendár
- Biomedical Centre Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia
| | - Ján Grossmann
- Clinic of Neurology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia
| | - Slavomíra Kováčová
- Clinic of Neurology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia
| | - Eva Hečková
- Department of Biomedical Imaging and Image-Guided Therapy, High-field MR Center, Medical University of Vienna, Austria
| | - Bernhard Strasser
- Department of Biomedical Imaging and Image-Guided Therapy, High-field MR Center, Medical University of Vienna, Austria
| | - Daniel Čierny
- Department of Clinical Biochemistry, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia
| | - Kamil Zeleňák
- Clinic of Radiology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia
| | - Egon Kurča
- Clinic of Neurology, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, Martin, Slovakia
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18
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Contribution of Gray Matter Atrophy and White Matter Damage to Cognitive Impairment in Mildly Disabled Relapsing-Remitting Multiple Sclerosis Patients. Diagnostics (Basel) 2021; 11:diagnostics11030578. [PMID: 33807060 PMCID: PMC8005138 DOI: 10.3390/diagnostics11030578] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 03/17/2021] [Accepted: 03/21/2021] [Indexed: 11/25/2022] Open
Abstract
Cognitive impairment (CI) is frequently present in multiple sclerosis patients. Despite ongoing research, the neurological substrates have not been fully elucidated. In this study we investigated the contribution of gray and white matter in the CI observed in mildly disabled relapsing-remitting multiple sclerosis (RRMS) patients. For that purpose, 30 patients with RRMS (median EDSS = 2), and 30 age- and sex-matched healthy controls were studied. CI was assessed using the symbol digit modalities test (SDMT) and the memory alteration test. Brain magnetic resonance imaging, diffusion tensor imaging (DTI), voxel-based morphometry (VBM), brain segmentation, thalamic vertex analysis, and connectivity-based thalamic parcellation analyses were performed. RRMS patients scored significantly lower in both cognitive tests. In the patient group, significant atrophy in the thalami was observed. Multiple regression analyses revealed associations between SDMT scores and GM volume in both hemispheres in the temporal, parietal, frontal, and occipital lobes. The DTI results pointed to white matter damage in all thalamocortical connections, the corpus callosum, and several fasciculi. Multiple regression and correlation analyses suggested that in RRMS patients with mild disease, thalamic atrophy and thalamocortical connection damage may lead to slower cognitive processing. Furthermore, white matter damage at specific fasciculi may be related to episodic memory impairment.
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19
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Amin M, Ontaneda D. Thalamic Injury and Cognition in Multiple Sclerosis. Front Neurol 2021; 11:623914. [PMID: 33613423 PMCID: PMC7892763 DOI: 10.3389/fneur.2020.623914] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Accepted: 12/30/2020] [Indexed: 11/13/2022] Open
Abstract
Multiple sclerosis (MS) produces demyelination and degeneration in both gray and white matter. Both cortical and deep gray matter injury is observed during the course of MS. Among deep gray matter structures, the thalamus has received special attention, as it undergoes volume loss in different MS subtypes and is involved in the earliest form of the disease, radiologically isolated syndrome. The thalamus plays an important role as an information relay center, and involvement of the thalamus in MS has been associated with a variety of clinical manifestations in MS, including fatigue, movement disorders, pain, and cognitive impairment (CI). Similar to thalamic volume loss, CI is seen from the earliest stages of MS and is potentially one of the most debilitating manifestations of the disease. The thalamus, particularly the dorsomedial nucleus as part of the basolateral limbic circuit and anterior thalamic nuclei through connections with the prefrontal cortex, has been shown to be involved in CI. Specifically, several cognitive performance measures such as processing speed and memory correlate with thalamic volume. Thalamic atrophy is one of the most important predictors of CI in MS, and both thalamic volume, diffusion tensor imaging measures, and functional activation correlate with the degree of CI in MS. Although the exact mechanism of thalamic atrophy is not well-understood, it is hypothesized to be secondary to degeneration following white matter injury resulting in secondary neurodegeneration and neuronal loss. The thalamus may represent an ideal biomarker for studies aiming to test neuroprotective or restorative therapies aimed at cognition.
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Affiliation(s)
- Moein Amin
- Neurological Institute, Cleveland Clinic, Cleveland, OH, United States
| | - Daniel Ontaneda
- Mellen Center for Multiple Sclerosis Treatment and Research, Neurological Institute, Cleveland Clinic, Cleveland, OH, United States
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20
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Schweser F, Hagemeier J, Dwyer MG, Bergsland N, Hametner S, Weinstock-Guttman B, Zivadinov R. Decreasing brain iron in multiple sclerosis: The difference between concentration and content in iron MRI. Hum Brain Mapp 2020; 42:1463-1474. [PMID: 33378095 PMCID: PMC7927296 DOI: 10.1002/hbm.25306] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Revised: 10/21/2020] [Accepted: 11/20/2020] [Indexed: 12/11/2022] Open
Abstract
Increased brain iron concentration is often reported concurrently with disease development in multiple sclerosis (MS) and other neurodegenerative diseases. However, it is unclear whether the higher iron concentration in patients stems from an influx of iron into the tissue or a relative reduction in tissue compartments without much iron. By taking into account structural volume, we investigated tissue iron content in the deep gray matter (DGM) over 2 years, and compared findings to previously reported changes in iron concentration. 120 MS patients and 40 age‐ and sex‐matched healthy controls were included. Clinical testing and MRI were performed both at baseline and after 2 years. Overall, iron content was calculated from structural MRI and quantitative susceptibility mapping in the thalamus, caudate, putamen, and globus pallidus. MS patients had significantly lower iron content than controls in the thalamus, with progressive MS patients demonstrating lower iron content than relapsing–remitting patients. Over 2 years, iron content decreased in the DGM of patients with MS, while it tended to increase or remain stable among controls. In the thalamus, decreasing iron content over 2 years was associated with disability progression. Our study showed that temporally increasing magnetic susceptibility in MS should not be considered as evidence for iron influx because it may be explained, at least partially, by disease‐related atrophy. Declining DGM iron content suggests that, contrary to the current understanding, iron is being removed from the DGM in patients with MS.
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Affiliation(s)
- Ferdinand Schweser
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, New York, USA.,Center for Biomedical Imaging, Clinical and Translational Science Institute, University at Buffalo, The State University of New York, Buffalo, New York, USA
| | - Jesper Hagemeier
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, New York, USA
| | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, New York, USA.,Center for Biomedical Imaging, Clinical and Translational Science Institute, University at Buffalo, The State University of New York, Buffalo, New York, USA
| | - Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, New York, USA.,IRCCS, Fondazione Don Carlo Gnocchi ONLUS, Milan, Italy
| | - Simon Hametner
- Department of Neuroimmunology, Center for Brain Research, Medical University of Vienna, Vienna, Austria
| | - Bianca Weinstock-Guttman
- Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, New York, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, New York, USA.,Center for Biomedical Imaging, Clinical and Translational Science Institute, University at Buffalo, The State University of New York, Buffalo, New York, USA
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21
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Weeda MM, Pruis IJ, Westerveld ASR, Brouwer I, Bellenberg B, Barkhof F, Vrenken H, Lukas C, Schneider R, Pouwels PJW. Damage in the Thalamocortical Tracts is Associated With Subsequent Thalamus Atrophy in Early Multiple Sclerosis. Front Neurol 2020; 11:575611. [PMID: 33281710 PMCID: PMC7705066 DOI: 10.3389/fneur.2020.575611] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Accepted: 10/05/2020] [Indexed: 01/01/2023] Open
Abstract
Background: In early multiple sclerosis (MS), thalamus atrophy and decreased integrity of the thalamocortical white matter (WM) tracts have been observed. Objective: To investigate the temporal association between thalamus volume and WM damage in the thalamocortical tract in subjects with early MS. Methods: At two time points, 72 subjects with early MS underwent T1, FLAIR and diffusion tensor imaging. Thalamocortical tracts were identified with probabilistic tractography using left and right thalamus as seed regions. Regression analysis was performed to identify predictors of annual percentage change in both thalamus volumes and integrity of the connected tracts. Results: Significant atrophy was seen in left and right thalamus (p < 0.001) over the follow-up period (13.7 ± 4.8 months), whereas fractional anisotropy (FA) and mean diffusivity (MD) changes of the left and right thalamus tracts were not significant, although large inter-subject variability was seen. Annual percentage change in left thalamus volume was significantly predicted by baseline FA of the left thalamus tracts F(1.71) = 4.284, p = 0.042; while no such relation was found for the right thalamus. Annual percentage change in FA or MD of the thalamus tracts was not predicted by thalamus volume or any of the demographic parameters. Conclusion: Over a short follow-up time, thalamus atrophy could be predicted by decreased integrity of the thalamic tracts, but changes in the integrity of the thalamic tracts could not be predicted by thalamus volume. This is the first study showing directionality in the association between thalamus atrophy and connected WM tract damage. These results need to be verified over longer follow-up periods.
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Affiliation(s)
- Merlin M Weeda
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC-Location VUmc, Amsterdam, Netherlands
| | - Ilanah J Pruis
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC-Location VUmc, Amsterdam, Netherlands
| | - Aimee S R Westerveld
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC-Location VUmc, Amsterdam, Netherlands
| | - Iman Brouwer
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC-Location VUmc, Amsterdam, Netherlands
| | - Barbara Bellenberg
- Institute of Neuroradiology, St. Josef Hospital, Ruhr-University Bochum, Bochum, Germany
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC-Location VUmc, Amsterdam, Netherlands.,Institutes of Neurology and Healthcare Engineering, University College London, London, United Kingdom
| | - Hugo Vrenken
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC-Location VUmc, Amsterdam, Netherlands
| | - Carsten Lukas
- Institute of Neuroradiology, St. Josef Hospital, Ruhr-University Bochum, Bochum, Germany
| | - Ruth Schneider
- Institute of Neuroradiology, St. Josef Hospital, Ruhr-University Bochum, Bochum, Germany.,Department of Neurology, St. Josef Hospital, Ruhr-University Bochum, Bochum, Germany
| | - Petra J W Pouwels
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC-Location VUmc, Amsterdam, Netherlands
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22
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Novel Cost Function Definition for Minimum-Cost Tractography in MR Diffusion Tensor Imaging. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2020. [PMID: 32468530 DOI: 10.1007/978-3-030-32622-7_12] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register]
Abstract
Magnetic resonance imaging (MRI) is an established clinical technique that measures diffusion-weighted signals, applied primarily in brain studies. Diffusion tensor imaging (DTI) is a technique that uses the diffusion-weighted signals to obtain information about tissue connectivity, which recently started to become established in clinical use. The extraction of tracts (tractography) is an issue under active research. In this work we present an algorithm for recovering tracts, based on Dijkstra's minimum-cost path. A novel cost definition algorithm is presented that allows tract reconstruction, considering the tract's curvature, as well as its alignment with the diffusion vector field. The proposed cost function is able to adapt to linear, planar, and spherical diffusion. Thus, it can handle issues of fiber crossing, which pose considerable problems to tractography algorithms. A simple method for generating synthetic diffusion - weighted MR signals from known fibers - is also presented and utilized in this work. Results are shown for two (2D)- and three-dimensional (3D) synthetic data, as well as for a clinical MRI-DTI brain study.
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23
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Mehndiratta A, Treaba CA, Barletta V, Herranz E, Ouellette R, Sloane JA, Klawiter EC, Kinkel RP, Mainero C. Characterization of thalamic lesions and their correlates in multiple sclerosis by ultra-high-field MRI. Mult Scler 2020; 27:674-683. [PMID: 32584159 DOI: 10.1177/1352458520932804] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
BACKGROUND Thalamic pathology is a marker for neurodegeneration and multiple sclerosis (MS) disease progression. OBJECTIVE To characterize (1) the morphology of thalamic lesions, (2) their relation to cortical and white matter (WM) lesions, and (3) clinical measures, and to assess (4) the imaging correlates of thalamic atrophy. METHODS A total of 90 MS patients and 44 healthy controls underwent acquisition of 7 Tesla images for lesion segmentation and 3 Tesla scans for atrophy evaluation. Thalamic lesions were classified according to the shape and the presence of a central venule. Regression analysis identified the predictors of (1) thalamic atrophy, (2) neurological disability, and (3) information processing speed. RESULTS Thalamic lesions were mostly ovoid than periventricular, and for the great majority (78%) displayed a central venule. Lesion volume in the thalamus, cortex, and WM did not correlate with each other. Thalamic atrophy was only associated with WM lesion volume (p = 0.002); subpial and WM lesion volumes were associated with neurological disability (p = 0.016; p < 0.001); and WM and thalamic lesion volumes were related with cognitive impairment (p < 0.001; p = 0.03). CONCLUSION Thalamic lesions are unrelated to those in the cortex and WM, suggesting that they may not share common pathogenic mechanisms and do not contribute to thalamic atrophy. Combined WM, subpial, and thalamic lesion volumes at 7 Tesla contribute to the disease severity.
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Affiliation(s)
- Ambica Mehndiratta
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Constantina A Treaba
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Valeria Barletta
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Elena Herranz
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Russell Ouellette
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Jacob A Sloane
- Department of Neurology, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Eric C Klawiter
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Revere P Kinkel
- Department of Neurosciences, University of California San Diego, La Jolla, CA, USA
| | - Caterina Mainero
- Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
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24
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Engl C, Tiemann L, Grahl S, Bussas M, Schmidt P, Pongratz V, Berthele A, Beer A, Gaser C, Kirschke JS, Zimmer C, Hemmer B, Mühlau M. Cognitive impairment in early MS: contribution of white matter lesions, deep grey matter atrophy, and cortical atrophy. J Neurol 2020; 267:2307-2318. [PMID: 32328718 PMCID: PMC7359155 DOI: 10.1007/s00415-020-09841-0] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Revised: 03/27/2020] [Accepted: 04/14/2020] [Indexed: 12/02/2022]
Abstract
Background Cognitive impairment (CI) is a frequent and debilitating symptom in MS. To better understand the neural bases of CI in MS, this magnetic resonance imaging (MRI) study aimed to identify and quantify related structural brain changes and to investigate their relation to each other. Methods We studied 51 patients with CI and 391 patients with cognitive preservation (CP). We analyzed three-dimensional T1-weighted and FLAIR scans at 3 Tesla. We determined mean cortical thickness as well as volumes of cortical grey matter (GM), deep GM including thalamus, cerebellar cortex, white matter, corpus callosum, and white matter lesions (WML). We also analyzed GM across the whole brain by voxel-wise and surface-based techniques. Results Mean disease duration was 5 years. Comparing MS patients with CI and CP, we found higher volumes of WML, lower volumes of deep and cortical GM structures, and lower volumes of the corpus callosum (all corrected p values < 0.05). Effect sizes were largest for WML and thalamic volume (standardized ß values 0.25 and − 0.25). By logistic regression analysis including both WML and thalamic volume, we found a significant effect only for WML volume. Inclusion of the interaction term of WML and thalamic volume increased the model fit and revealed a highly significant interaction of WML and thalamic volume. Moreover, voxel-wise and surface-based comparisons of MS patients with CI and CP showed regional atrophy of both deep and cortical GM independent of WML volume and overall disability, but effect sizes were lower. Conclusion Although several mechanisms contribute to CI already in the early stage of MS, WML seem to be the main driver with thalamic atrophy primarily intensifying this effect.
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Affiliation(s)
- Christina Engl
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany.,TUM Neuroimaging Center, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany
| | - Laura Tiemann
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany.,TUM Neuroimaging Center, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany
| | - Sophia Grahl
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany.,TUM Neuroimaging Center, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany
| | - Matthias Bussas
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany.,TUM Neuroimaging Center, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany
| | - Paul Schmidt
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany.,TUM Neuroimaging Center, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany
| | - Viola Pongratz
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany.,TUM Neuroimaging Center, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany
| | - Achim Berthele
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany
| | - Annkathrin Beer
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany.,TUM Neuroimaging Center, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany
| | - Christian Gaser
- Department of Psychiatry and Department of Neurology, Jena University Hospital, Jena, Germany
| | - Jan S Kirschke
- Department of Neuroradiology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany
| | - Claus Zimmer
- Department of Neuroradiology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany
| | - Bernhard Hemmer
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Feodor-Lynen-Str. 17, 81377, Munich, Germany
| | - Mark Mühlau
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany. .,TUM Neuroimaging Center, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Ismaninger Str. 22, 81541, Munich, Germany.
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25
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Tsagkas C, Chakravarty MM, Gaetano L, Naegelin Y, Amann M, Parmar K, Papadopoulou A, Wuerfel J, Kappos L, Sprenger T, Magon S. Longitudinal patterns of cortical thinning in multiple sclerosis. Hum Brain Mapp 2020; 41:2198-2215. [PMID: 32067281 PMCID: PMC7268070 DOI: 10.1002/hbm.24940] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Revised: 12/21/2019] [Accepted: 01/13/2020] [Indexed: 01/19/2023] Open
Abstract
In multiple sclerosis (MS), cortical atrophy is correlated with clinical and neuropsychological measures. We aimed to examine the differences in the temporospatial evolution of cortical thickness (CTh) between MS‐subtypes and to study the association of CTh with T2‐weighted white matter lesions (T2LV) and clinical progression. Two hundred and forty‐three MS patients (180 relapsing–remitting [RRMS], 51 secondary‐progressive [SPMS], and 12 primary‐progressive [PPMS]) underwent annual clinical (incl. expanded disability status scale [EDSS]) and MRI‐examinations over 6 years. T2LV and CTh were measured. CTh did not differ between MS‐subgroups. Higher total T2LV was associated with extended bilateral CTh‐reduction on average, but did not correlate with CTh‐changes over time. In RRMS, CTh‐ and EDSS‐changes over time were negatively correlated in large bilateral prefrontal, frontal, parietal, temporal, and occipital areas. In SPMS, CTh was not associated with the EDSS. In PPMS, CTh‐ and EDSS‐changes over time were correlated in small clusters predominantly in left parietal areas. Increase of brain lesion load does not lead to an immediate CTh‐reduction. Although CTh did not differ between MS‐subtypes, a dissociation in the correlation between CTh‐ and EDSS‐changes over time between RRMS and progressive‐MS was shown, possibly underlining the contribution of subcortical pathology to clinical progression in progressive‐MS.
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Affiliation(s)
- Charidimos Tsagkas
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Switzerland.,Translational Imaging in Neurology (ThINk) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.,Medical Image Analysis Center AG, Basel, Switzerland
| | - M Mallar Chakravarty
- Cerebral Imaging Centre - Douglas Mental Health University Institute, Verdun, QC, Canada.,Department of Biomedical Engineering, McGill University, Montreal, QC, Canada.,Department of Psychiatry, McGill University, Montreal, QC, Canada
| | | | - Yvonne Naegelin
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Switzerland
| | - Michael Amann
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Switzerland.,Medical Image Analysis Center AG, Basel, Switzerland.,Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland
| | - Katrin Parmar
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Switzerland.,Translational Imaging in Neurology (ThINk) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Athina Papadopoulou
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Switzerland.,Translational Imaging in Neurology (ThINk) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland.,NeuroCure Clinical Research Center, Charite - Universitatsmedizin Berlin, corporate member of Freie Universitat Berlin, Humboldt-Universitat zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Jens Wuerfel
- Medical Image Analysis Center AG, Basel, Switzerland.,Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland
| | - Ludwig Kappos
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Switzerland.,Translational Imaging in Neurology (ThINk) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Till Sprenger
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Switzerland.,Department of Neurology, DKD HELIOS Klinik Wiesbaden, Wiesbaden, Germany
| | - Stefano Magon
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Switzerland.,Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd., Basel, Switzerland
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26
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Magon S, Tsagkas C, Gaetano L, Patel R, Naegelin Y, Amann M, Parmar K, Papadopoulou A, Wuerfel J, Stippich C, Kappos L, Chakravarty MM, Sprenger T. Volume loss in the deep gray matter and thalamic subnuclei: a longitudinal study on disability progression in multiple sclerosis. J Neurol 2020; 267:1536-1546. [PMID: 32040710 DOI: 10.1007/s00415-020-09740-4] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2019] [Revised: 01/29/2020] [Accepted: 01/31/2020] [Indexed: 01/18/2023]
Abstract
BACKGROUND Volume loss in the deep gray matter (DGM) has been reported in patients with multiple sclerosis (MS) already at early stages of the disease and is thought to progress throughout the disease course. OBJECTIVE To investigate the impact and predictive value of volume loss in DGM and thalamic subnuclei on disability worsening in patients MS over a 6-year follow-up period. METHODS Hundred and seventy-nine patients with RRMS (132 women; median Expanded Disability Status Scale, EDSS: 2.5) and 50 with SPMS (27 women; median EDSS: 4.5) were included in the study. Patients underwent annual EDSS assessments and annual MRI at 1.5 T. DGM/thalamic subnuclei volumes were identified on high-resolution T1-weighted. A hierarchical linear mixed model for each anatomical DGM area and each thalamic subnucleus was performed to investigate the associations with disability scores. Cox regression was used to estimate the predictive properties of volume loss in DGM and thalamic subnuclei on disease worsening. RESULTS In the whole sample and in RRMS, volumes of the thalamus and the striatum were associated with the EDSS; however, only thalamic volume loss was associated with EDSS change at follow-up. Regarding thalamic subnuclei, volume loss in the anterior nucleus, the pulvinar and the ventral anterior nucleus was associated with EDSS change in the whole cohort. A trend was observed for the ventral lateral nucleus. Volume loss in the anterior and ventral anterior nuclei was associated with EDSS change over time in patients with RRMS. Moreover, MS phenotype and annual rates of volume loss in the thalamus and ventral lateral nucleus were predictive of disability worsening. CONCLUSION These results highlight the relevance of volume loss in the thalamus as a key metric for predicting disability worsening as assessed by EDSS (in RRMS). Moreover, the volume loss in specific nuclei such as the ventral lateral nucleus seems to play a role in disability worsening.
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Affiliation(s)
- Stefano Magon
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, Department of Neurology, University Hospital Basel and University of Basel, Petersgraben 4, 4031, Basel, Switzerland. .,Medical Image Analysis Center AG, Basel, Switzerland.
| | - Charidimos Tsagkas
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, Department of Neurology, University Hospital Basel and University of Basel, Petersgraben 4, 4031, Basel, Switzerland.,Medical Image Analysis Center AG, Basel, Switzerland
| | - Laura Gaetano
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, Department of Neurology, University Hospital Basel and University of Basel, Petersgraben 4, 4031, Basel, Switzerland.,Medical Image Analysis Center AG, Basel, Switzerland
| | - Raihaan Patel
- Cerebral Imaging Centre-Douglas Mental Health University Institute, Verdun, QC, Canada.,Department of Biomedical Engineering, McGill University, Montreal, QC, Canada
| | - Yvonne Naegelin
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, Department of Neurology, University Hospital Basel and University of Basel, Petersgraben 4, 4031, Basel, Switzerland
| | - Michael Amann
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, Department of Neurology, University Hospital Basel and University of Basel, Petersgraben 4, 4031, Basel, Switzerland.,Medical Image Analysis Center AG, Basel, Switzerland.,Department of Biomedical Engineering, University Basel, Basel, Switzerland
| | - Katrin Parmar
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, Department of Neurology, University Hospital Basel and University of Basel, Petersgraben 4, 4031, Basel, Switzerland.,Medical Image Analysis Center AG, Basel, Switzerland
| | - Athina Papadopoulou
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, Department of Neurology, University Hospital Basel and University of Basel, Petersgraben 4, 4031, Basel, Switzerland.,NeuroCure Clinical Research Center, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Jens Wuerfel
- Medical Image Analysis Center AG, Basel, Switzerland.,Department of Biomedical Engineering, University Basel, Basel, Switzerland
| | - Christoph Stippich
- Department of Neuroradiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Ludwig Kappos
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, Department of Neurology, University Hospital Basel and University of Basel, Petersgraben 4, 4031, Basel, Switzerland
| | - M Mallar Chakravarty
- Cerebral Imaging Centre-Douglas Mental Health University Institute, Verdun, QC, Canada.,Department of Biomedical Engineering, McGill University, Montreal, QC, Canada.,Department of Psychiatry, McGill University, Montreal, QC, Canada
| | - Till Sprenger
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, Department of Neurology, University Hospital Basel and University of Basel, Petersgraben 4, 4031, Basel, Switzerland.,Department of Neurology, DKD HELIOS Klinik Wiesbaden, Wiesbaden, Germany
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27
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Radetz A, Koirala N, Krämer J, Johnen A, Fleischer V, Gonzalez-Escamilla G, Cerina M, Muthuraman M, Meuth SG, Groppa S. Gray matter integrity predicts white matter network reorganization in multiple sclerosis. Hum Brain Mapp 2019; 41:917-927. [PMID: 32026599 PMCID: PMC7268008 DOI: 10.1002/hbm.24849] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2019] [Revised: 10/16/2019] [Accepted: 10/17/2019] [Indexed: 01/19/2023] Open
Abstract
Multiple sclerosis (MS) is a chronic inflammatory and neurodegenerative disease leading to gray matter atrophy and brain network reconfiguration as a response to increasing tissue damage. We evaluated whether white matter network reconfiguration appears subsequently to gray matter damage, or whether the gray matter degenerates following alterations in white matter networks. MRI data from 83 patients with clinically isolated syndrome and early relapsing-remitting MS were acquired at two time points with a follow-up after 1 year. White matter network integrity was assessed based on probabilistic tractography performed on diffusion-weighted data using graph theoretical analyses. We evaluated gray matter integrity by computing cortical thickness and deep gray matter volume in 94 regions at both time points. The thickness of middle temporal cortex and the volume of deep gray matter regions including thalamus, caudate, putamen, and brain stem showed significant atrophy between baseline and follow-up. White matter network dynamics, as defined by modularity and distance measure changes over time, were predicted by deep gray matter volume of the atrophying anatomical structures. Initial white matter network properties, on the other hand, did not predict atrophy. Furthermore, gray matter integrity at baseline significantly predicted physical disability at 1-year follow-up. In a sub-analysis, deep gray matter volume was significantly related to cognitive performance at baseline. Hence, we postulate that atrophy of deep gray matter structures drives the adaptation of white matter networks. Moreover, deep gray matter volumes are highly predictive for disability progression and cognitive performance.
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Affiliation(s)
- Angela Radetz
- Department of Neurology and Neuroimaging Center (NIC) of the Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Nabin Koirala
- Department of Neurology and Neuroimaging Center (NIC) of the Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Julia Krämer
- Department of Neurology, University of Münster, Münster, Germany
| | - Andreas Johnen
- Department of Neurology, University of Münster, Münster, Germany
| | - Vinzenz Fleischer
- Department of Neurology and Neuroimaging Center (NIC) of the Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Gabriel Gonzalez-Escamilla
- Department of Neurology and Neuroimaging Center (NIC) of the Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Manuela Cerina
- Department of Neurology, University of Münster, Münster, Germany
| | - Muthuraman Muthuraman
- Department of Neurology and Neuroimaging Center (NIC) of the Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Sven G Meuth
- Department of Neurology, University of Münster, Münster, Germany
| | - Sergiu Groppa
- Department of Neurology and Neuroimaging Center (NIC) of the Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
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28
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New and enlarging white matter lesions adjacent to the ventricle system and thalamic atrophy are independently associated with lateral ventricular enlargement in multiple sclerosis. J Neurol 2019; 267:192-202. [DOI: 10.1007/s00415-019-09565-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2019] [Revised: 09/28/2019] [Accepted: 09/30/2019] [Indexed: 01/03/2023]
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29
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Azevedo CJ, Cen SY, Jaberzadeh A, Zheng L, Hauser SL, Pelletier D. Contribution of normal aging to brain atrophy in MS. NEUROLOGY-NEUROIMMUNOLOGY & NEUROINFLAMMATION 2019; 6:6/6/e616. [PMID: 32330116 PMCID: PMC6807662 DOI: 10.1212/nxi.0000000000000616] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/16/2019] [Accepted: 07/01/2019] [Indexed: 12/21/2022]
Abstract
Objective To identify the top brain regions affected by MS-specific atrophy (i.e., atrophy in excess of normal aging) and to test whether normal aging and MS-specific atrophy increase or decrease in these regions with age. Methods Six hundred fifty subjects (2,790 MRI time points) were analyzed: 520 subjects with relapse-onset MS from a 5-year prospective cohort with annual standardized 1-mm 3D T1-weighted images (3DT1s; 2,483 MRIs) and 130 healthy controls with longitudinal 3DT1s (307 MRIs). Rates of change in all FreeSurfer regions (v5.3) and Structural Image Evaluation Using Normalization of Atrophy (SIENA) were estimated with mixed-effects models. All FreeSurfer regions were ranked by the MS-specific atrophy slope/standard error ratio (βMS × time/SEβMS × time). In the top regions, age was added as an effect modifier to test whether MS-specific atrophy varied by age. Results The top-ranked regions were all gray matter structures. For SIENA, normal aging increased from 0.01%/y at age 30 years to −0.31%/y at age 60 years (−0.11% ± 0.032%/decade, p < 0.01), whereas MS-specific atrophy decreased from −0.38%/y at age 30 years to −0.12%/y at age 60 years (0.09% ± 0.035%/decade, p = 0.01). Similarly, in the thalamus, normal aging increased from −0.15%/y at age 30 years to −0.62%/y at age 60 years (−0.16% ± 0.079%/decade, p < 0.05), and MS-specific atrophy decreased from −0.59%/y at age 30 years to −0.05%/y at age 60 years (0.18% ± 0.08%/decade, p < 0.05). In the putamen and caudate, normal aging and MS-specific atrophy did not vary by age. Conclusions For SIENA and thalamic atrophy, the contribution of normal aging increases with age, but does not change in the putamen and caudate. This may have substantial implications to understand the biology of brain atrophy in MS.
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Affiliation(s)
- Christina J Azevedo
- From the Department of Neurology (C.J.A., S.Y.C., A.J., L.Z., D.P.), University of Southern California, Los Angeles; and Department of Neurology (S.L.H.), University of California, San Francisco
| | - Steven Y Cen
- From the Department of Neurology (C.J.A., S.Y.C., A.J., L.Z., D.P.), University of Southern California, Los Angeles; and Department of Neurology (S.L.H.), University of California, San Francisco
| | - Amir Jaberzadeh
- From the Department of Neurology (C.J.A., S.Y.C., A.J., L.Z., D.P.), University of Southern California, Los Angeles; and Department of Neurology (S.L.H.), University of California, San Francisco
| | - Ling Zheng
- From the Department of Neurology (C.J.A., S.Y.C., A.J., L.Z., D.P.), University of Southern California, Los Angeles; and Department of Neurology (S.L.H.), University of California, San Francisco
| | - Stephen L Hauser
- From the Department of Neurology (C.J.A., S.Y.C., A.J., L.Z., D.P.), University of Southern California, Los Angeles; and Department of Neurology (S.L.H.), University of California, San Francisco
| | - Daniel Pelletier
- From the Department of Neurology (C.J.A., S.Y.C., A.J., L.Z., D.P.), University of Southern California, Los Angeles; and Department of Neurology (S.L.H.), University of California, San Francisco.
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30
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Eijlers AJC, van Geest Q, Dekker I, Steenwijk MD, Meijer KA, Hulst HE, Barkhof F, Uitdehaag BMJ, Schoonheim MM, Geurts JJG. Predicting cognitive decline in multiple sclerosis: a 5-year follow-up study. Brain 2019; 141:2605-2618. [PMID: 30169585 DOI: 10.1093/brain/awy202] [Citation(s) in RCA: 57] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2018] [Accepted: 06/15/2018] [Indexed: 11/14/2022] Open
Abstract
Cognitive decline is common in multiple sclerosis and strongly affects overall quality of life. Despite the identification of cross-sectional MRI correlates of cognitive impairment, predictors of future cognitive decline remain unclear. The objective of this study was to identify which MRI measures of structural damage, demographic and/or clinical measures at baseline best predict cognitive decline, during a 5-year follow-up period. A total of 234 patients with clinically definite multiple sclerosis and 60 healthy control subjects were examined twice, with a 5-year interval (mean = 4.9 years, standard deviation = 0.9). An extensive neuropsychological evaluation was performed at both time points and the reliable change index was computed to evaluate cognitive decline. Both whole-brain and regional MRI (3 T) measures were assessed at baseline, including white matter lesion volume, diffusion-based white matter integrity, cortical and deep grey matter volume. Logistic regression analyses were performed to determine which baseline measures best predicted cognitive decline in the entire sample as well as in early relapsing-remitting (symptom duration <10 years), late relapsing-remitting (symptom duration ≥10 years) and progressive phenotypes. At baseline, patients with multiple sclerosis had a mean disease duration of 14.8 (standard deviation = 8.4) years and 96/234 patients (41%) were classified as cognitively impaired. A total of 66/234 patients (28%) demonstrated cognitive decline during follow-up, with higher frequencies in progressive compared to relapsing-remitting patients: 18/33 secondary progressive patients (55%), 10/19 primary progressive patients (53%) and 38/182 relapsing-remitting patients (21%). A prediction model that included only whole-brain MRI measures (Nagelkerke R2 = 0.22, P < 0.001) showed cortical grey matter volume as the only significant MRI predictor of cognitive decline, while a prediction model that assessed regional MRI measures (Nagelkerke R2 = 0.35, P < 0.001) indicated integrity loss of the anterior thalamic radiation, lesions in the superior longitudinal fasciculus and temporal atrophy as significant MRI predictors for cognitive decline. Disease stage specific regressions showed that cognitive decline in early relapsing-remitting multiple sclerosis was predicted by white matter integrity damage, while cognitive decline in late relapsing-remitting and progressive multiple sclerosis was predicted by cortical atrophy. These results indicate that patients with more severe structural damage at baseline, and especially cortical atrophy, are more prone to suffer from cognitive decline. New studies now need to further elucidate the underlying mechanisms leading to cortical atrophy, evaluate the value of including cortical atrophy as a possible outcome marker in clinical trials as well as study its potential use in individual patient management.
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Affiliation(s)
- Anand J C Eijlers
- Department of Anatomy and Neurosciences, Amsterdam Neuroscience, MS Center Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Quinten van Geest
- Department of Anatomy and Neurosciences, Amsterdam Neuroscience, MS Center Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Iris Dekker
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, MS Center Amsterdam, VU University Medical Center, Amsterdam, The Netherlands.,Department of Neurology, Amsterdam Neuroscience, MS Center Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Martijn D Steenwijk
- Department of Anatomy and Neurosciences, Amsterdam Neuroscience, MS Center Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Kim A Meijer
- Department of Anatomy and Neurosciences, Amsterdam Neuroscience, MS Center Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Hanneke E Hulst
- Department of Anatomy and Neurosciences, Amsterdam Neuroscience, MS Center Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, MS Center Amsterdam, VU University Medical Center, Amsterdam, The Netherlands.,Institutes of Neurology and Healthcare Engineering, UCL, London, UK
| | - Bernard M J Uitdehaag
- Department of Neurology, Amsterdam Neuroscience, MS Center Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Menno M Schoonheim
- Department of Anatomy and Neurosciences, Amsterdam Neuroscience, MS Center Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
| | - Jeroen J G Geurts
- Department of Anatomy and Neurosciences, Amsterdam Neuroscience, MS Center Amsterdam, VU University Medical Center, Amsterdam, The Netherlands
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31
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Worsening of disability caused by relapses in multiple sclerosis: A different approach. Mult Scler Relat Disord 2019; 32:1-8. [DOI: 10.1016/j.msard.2019.04.017] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2019] [Revised: 03/26/2019] [Accepted: 04/12/2019] [Indexed: 12/30/2022]
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32
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Sotirchos ES, Gonzalez-Caldito N, Dewey BE, Fitzgerald KC, Glaister J, Filippatou A, Ogbuokiri E, Feldman S, Kwakyi O, Risher H, Crainiceanu C, Pham DL, Van Zijl PC, Mowry EM, Reich DS, Prince JL, Calabresi PA, Saidha S. Effect of disease-modifying therapies on subcortical gray matter atrophy in multiple sclerosis. Mult Scler 2019; 26:312-321. [PMID: 30741108 DOI: 10.1177/1352458519826364] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND The effects of disease-modifying therapies (DMTs) on region-specific brain atrophy in multiple sclerosis (MS) are unclear. OBJECTIVE To determine the effects of higher versus lower efficacy DMTs on rates of brain substructure atrophy in MS. METHODS A non-randomized, observational cohort of people with MS followed with annual brain magnetic resonance imaging (MRI) was evaluated retrospectively. Whole brain, subcortical gray matter (GM), cortical GM, and cerebral white matter (WM) volume fractions were obtained. DMTs were categorized as higher (DMT-H: natalizumab and rituximab) or lower (DMT-L: interferon-beta and glatiramer acetate) efficacy. Follow-up epochs were analyzed if participants had been on a DMT for ⩾6 months prior to baseline and had at least one follow-up MRI while on DMTs in the same category. RESULTS A total of 86 DMT epochs (DMT-H: n = 32; DMT-L: n = 54) from 78 participants fulfilled the study inclusion criteria. Mean follow-up was 2.4 years. Annualized rates of thalamic (-0.15% vs -0.81%; p = 0.001) and putaminal (-0.27% vs -0.73%; p = 0.001) atrophy were slower during DMT-H compared to DMT-L epochs. These results remained significant in multivariate analyses including demographics, clinical characteristics, and T2 lesion volume. CONCLUSION DMT-H treatment may be associated with slower rates of subcortical GM atrophy, especially of the thalamus and putamen. Thalamic and putaminal volumes are promising imaging biomarkers in MS.
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Affiliation(s)
- Elias S Sotirchos
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | - Blake E Dewey
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA.,F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA
| | - Kathryn C Fitzgerald
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jeffrey Glaister
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Angeliki Filippatou
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Esther Ogbuokiri
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Sydney Feldman
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ohemaa Kwakyi
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Hunter Risher
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | - Dzung L Pham
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA.,Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA.,Center for Neuroscience and Regenerative Medicine, The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD, USA
| | - Peter C Van Zijl
- F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA.,Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ellen M Mowry
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Daniel S Reich
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.,Department of Biostatistics, Johns Hopkins University, Baltimore, MD, USA.,Translational Neuroradiology Section, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA
| | - Jerry L Prince
- Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA.,Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Peter A Calabresi
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Shiv Saidha
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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Mowry EM, Azevedo CJ, McCulloch CE, Okuda DT, Lincoln RR, Waubant E, Hauser SL, Pelletier D. Body mass index, but not vitamin D status, is associated with brain volume change in MS. Neurology 2018; 91:e2256-e2264. [PMID: 30429274 PMCID: PMC6329329 DOI: 10.1212/wnl.0000000000006644] [Citation(s) in RCA: 59] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2018] [Accepted: 08/27/2018] [Indexed: 01/05/2023] Open
Abstract
OBJECTIVE To determine whether body mass index (BMI) or vitamin D status is associated with MRI measures of neurodegeneration in a cohort of individuals with relapsing-remitting multiple sclerosis (RRMS) or clinically isolated syndrome (CIS). METHODS Expression, Proteomics, Imaging, Clinical (EPIC) is a longitudinal multiple sclerosis (MS) cohort study at the University of California, San Francisco. Participants had clinical evaluations, brain MRI, and blood draws annually. We evaluated patients with CIS or RRMS at baseline. In multivariate repeated-measures analyses adjusted for age, sex, ethnicity, smoking status, and use of MS treatments, annual 25-hydroxyvitamin D levels and BMI were evaluated for their association with subsequent brain volumes (normalized gray matter [nGMV], brain parenchymal [nBPV], and white matter volumes, as determined by Structural Image Evaluation using Normalization of Atrophy-X). RESULTS Among 469 participants, each 1-kg/m2 higher BMI was independently associated with reduced nGMV in multivariate models (-1.1 mL, 95% confidence interval [CI] -1.8 to -0.5, p = 0.001). BMI was likewise independently associated with nBPV (nBPV per 1-kg/m2 greater BMI: -1.1 mL, 95% CI -2.1 to -0.05, p = 0.039). Vitamin D levels did not appear to be meaningfully associated with brain volumes. CONCLUSIONS Higher BMI appears to be associated with greater reductions in nGMV and nBPV, which is relevant because, in particular, nGMV loss portends greater longer-term disability. Because obesity is modifiable, further studies should explore these relationships in detail, and evaluating the effect of reducing BMI on imaging and clinical outcomes in MS may be warranted.
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Affiliation(s)
- Ellen M Mowry
- From the Department of Neurology (E.M.M.), Johns Hopkins University, Baltimore, MD; Department of Neurology (C.A., D.P.), University of Southern California, Los Angeles; Department of Epidemiology and Biostatistics (C.E.M.) and MS Center (R.R.L., E.W., S.L.H.), Department of Neurology, University of California, San Francisco; and Department of Neurology (D.T.O.), University of Texas Southwestern, Dallas.
| | - Christina J Azevedo
- From the Department of Neurology (E.M.M.), Johns Hopkins University, Baltimore, MD; Department of Neurology (C.A., D.P.), University of Southern California, Los Angeles; Department of Epidemiology and Biostatistics (C.E.M.) and MS Center (R.R.L., E.W., S.L.H.), Department of Neurology, University of California, San Francisco; and Department of Neurology (D.T.O.), University of Texas Southwestern, Dallas
| | - Charles E McCulloch
- From the Department of Neurology (E.M.M.), Johns Hopkins University, Baltimore, MD; Department of Neurology (C.A., D.P.), University of Southern California, Los Angeles; Department of Epidemiology and Biostatistics (C.E.M.) and MS Center (R.R.L., E.W., S.L.H.), Department of Neurology, University of California, San Francisco; and Department of Neurology (D.T.O.), University of Texas Southwestern, Dallas
| | - Darin T Okuda
- From the Department of Neurology (E.M.M.), Johns Hopkins University, Baltimore, MD; Department of Neurology (C.A., D.P.), University of Southern California, Los Angeles; Department of Epidemiology and Biostatistics (C.E.M.) and MS Center (R.R.L., E.W., S.L.H.), Department of Neurology, University of California, San Francisco; and Department of Neurology (D.T.O.), University of Texas Southwestern, Dallas
| | - Robin R Lincoln
- From the Department of Neurology (E.M.M.), Johns Hopkins University, Baltimore, MD; Department of Neurology (C.A., D.P.), University of Southern California, Los Angeles; Department of Epidemiology and Biostatistics (C.E.M.) and MS Center (R.R.L., E.W., S.L.H.), Department of Neurology, University of California, San Francisco; and Department of Neurology (D.T.O.), University of Texas Southwestern, Dallas
| | - Emmanuelle Waubant
- From the Department of Neurology (E.M.M.), Johns Hopkins University, Baltimore, MD; Department of Neurology (C.A., D.P.), University of Southern California, Los Angeles; Department of Epidemiology and Biostatistics (C.E.M.) and MS Center (R.R.L., E.W., S.L.H.), Department of Neurology, University of California, San Francisco; and Department of Neurology (D.T.O.), University of Texas Southwestern, Dallas
| | - Stephen L Hauser
- From the Department of Neurology (E.M.M.), Johns Hopkins University, Baltimore, MD; Department of Neurology (C.A., D.P.), University of Southern California, Los Angeles; Department of Epidemiology and Biostatistics (C.E.M.) and MS Center (R.R.L., E.W., S.L.H.), Department of Neurology, University of California, San Francisco; and Department of Neurology (D.T.O.), University of Texas Southwestern, Dallas
| | - Daniel Pelletier
- From the Department of Neurology (E.M.M.), Johns Hopkins University, Baltimore, MD; Department of Neurology (C.A., D.P.), University of Southern California, Los Angeles; Department of Epidemiology and Biostatistics (C.E.M.) and MS Center (R.R.L., E.W., S.L.H.), Department of Neurology, University of California, San Francisco; and Department of Neurology (D.T.O.), University of Texas Southwestern, Dallas
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Koubiyr I, Deloire M, Coupé P, Dulau C, Besson P, Moroso A, Planche V, Tourdias T, Brochet B, Ruet A. Differential Gray Matter Vulnerability in the 1 Year Following a Clinically Isolated Syndrome. Front Neurol 2018; 9:824. [PMID: 30364223 PMCID: PMC6193084 DOI: 10.3389/fneur.2018.00824] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2018] [Accepted: 09/12/2018] [Indexed: 11/21/2022] Open
Abstract
Background and purpose: Whether some gray matter (GM) regions are differentially vulnerable at the early stages of MS is still unknown. The objective of this study is to investigate whether deep and cortical GM are differentially vulnerable after a clinically isolated syndrome (CIS) suggestive of multiple sclerosis (MS). Methods: Fifty-six patients with CIS (PwCIS) and 38 healthy controls (HC) had conventional and diffusion tensor imaging (DTI) at baseline and 46 PwCIS and 20 HC were rescanned after 1 year. Deep GM (DGM) volumes, cortical thickness (CTh), and DTI metrics (FA: fractional anisotropy; MD: mean diffusivity) within these structures were calculated for each participant at each time-point and compared between PwCIS and HC. Linear regression models were used to investigate whether baseline DTI parameters could predict GM volume loss over time. Results: At baseline, GM volumes did not differ between PwCIS and HC, but hippocampal MD was higher in PwCIS than HC (p < 0.01). Over 1 year, GM alterations became more widespread with putamen and hippocampus volumes decreasing in PwCIS (p < 0.01), and cortical thinning in different parts of the cortex along with a significant increase of MD. Hippocampus MD at baseline could predict its volume loss (R2 = 0.159; p < 0.05) and cortical thinning was associated to microstructural damage (Spearman's rho ranging from −0.424 to −0.603 with p < 0.003). Conclusion: Along with MS being a diffuse inflammatory disease, GM showed a differential vulnerability at the early stage spreading from hippocampus to the cortex. Hippocampus volume loss could be predicted by its MD at baseline.
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Affiliation(s)
- Ismail Koubiyr
- Univ. Bordeaux, Bordeaux, France.,Inserm U1215 - Neurocentre Magendie, Bordeaux, France
| | | | - Pierrick Coupé
- Laboratoire Bordelais de Recherche en Informatique, UMR CNRS 5800, PICTURA, Talence, France
| | | | - Pierre Besson
- AixMarseille Univ, CNRS, CRMBM UMR 7339, Marseille, France
| | - Amandine Moroso
- Univ. Bordeaux, Bordeaux, France.,CHU de Bordeaux, Bordeaux, France
| | - Vincent Planche
- Univ. Bordeaux, Bordeaux, France.,Inserm U1215 - Neurocentre Magendie, Bordeaux, France.,CHU de Bordeaux, Bordeaux, France
| | - Thomas Tourdias
- Univ. Bordeaux, Bordeaux, France.,Inserm U1215 - Neurocentre Magendie, Bordeaux, France.,CHU de Bordeaux, Bordeaux, France
| | - Bruno Brochet
- Univ. Bordeaux, Bordeaux, France.,Inserm U1215 - Neurocentre Magendie, Bordeaux, France.,CHU de Bordeaux, Bordeaux, France
| | - Aurélie Ruet
- Univ. Bordeaux, Bordeaux, France.,Inserm U1215 - Neurocentre Magendie, Bordeaux, France.,CHU de Bordeaux, Bordeaux, France
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35
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Fuchs TA, Carolus K, Benedict RHB, Bergsland N, Ramasamy D, Jakimovski D, Weinstock-Guttman B, Kuceyeski A, Zivadinov R, Dwyer MG. Impact of Focal White Matter Damage on Localized Subcortical Gray Matter Atrophy in Multiple Sclerosis: A 5-Year Study. AJNR Am J Neuroradiol 2018; 39:1480-1486. [PMID: 29976833 DOI: 10.3174/ajnr.a5720] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Accepted: 05/18/2018] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND PURPOSE It is unclear to what extent subcortical gray matter atrophy is a primary process as opposed to a result of focal white matter damage. Correlations between WM damage and atrophy of subcortical gray matter have been observed but may be partly attributable to indirect relationships between co-occurring processes arising from a common cause. Our aim was to cross-sectionally and longitudinally characterize the unique impact of focal WM damage on the atrophy of connected subcortical gray matter regions, beyond what is explainable by global disease progression. MATERIALS AND METHODS One hundred seventy-six individuals with MS and 47 healthy controls underwent MR imaging at baseline and 5 years later. Atrophy and lesion-based disruption of connected WM tracts were evaluated for 14 subcortical gray matter regions. Hierarchic regressions were applied, predicting regional atrophy from focal WM disruption, controlling for age, sex, disease duration, whole-brain volume, and T2-lesion volume. RESULTS When we controlled for whole-brain volume and T2-lesion volume, WM tract disruption explained little additional variance of subcortical gray matter atrophy and was a significant predictor for only 3 of 14 regions cross-sectionally (ΔR2 = 0.004) and 5 regions longitudinally (ΔR2 = 0.016). WM tract disruption was a significant predictor for even fewer regions when correcting for multiple comparisons. CONCLUSIONS WM tract disruption accounts for a small percentage of atrophy in connected subcortical gray matter when controlling for overall disease burden and is not the primary driver in most cases.
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Affiliation(s)
- T A Fuchs
- From the Department of Neurology (T.F., K.C., N.B., D.R., D.J., R.Z., M.G.D.), Buffalo Neuroimaging Analysis Center.,Department of Neurology (T.F., R.H.B.B., N.B., D.R., D.J., B.W.G., M.G.D.), Jacobs Multiple Sclerosis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
| | - K Carolus
- From the Department of Neurology (T.F., K.C., N.B., D.R., D.J., R.Z., M.G.D.), Buffalo Neuroimaging Analysis Center
| | - R H B Benedict
- Department of Neurology (T.F., R.H.B.B., N.B., D.R., D.J., B.W.G., M.G.D.), Jacobs Multiple Sclerosis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
| | - N Bergsland
- Department of Neurology (T.F., R.H.B.B., N.B., D.R., D.J., B.W.G., M.G.D.), Jacobs Multiple Sclerosis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
| | - D Ramasamy
- From the Department of Neurology (T.F., K.C., N.B., D.R., D.J., R.Z., M.G.D.), Buffalo Neuroimaging Analysis Center.,Department of Neurology (T.F., R.H.B.B., N.B., D.R., D.J., B.W.G., M.G.D.), Jacobs Multiple Sclerosis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
| | - D Jakimovski
- From the Department of Neurology (T.F., K.C., N.B., D.R., D.J., R.Z., M.G.D.), Buffalo Neuroimaging Analysis Center.,Department of Neurology (T.F., R.H.B.B., N.B., D.R., D.J., B.W.G., M.G.D.), Jacobs Multiple Sclerosis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
| | - B Weinstock-Guttman
- Department of Neurology (T.F., R.H.B.B., N.B., D.R., D.J., B.W.G., M.G.D.), Jacobs Multiple Sclerosis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
| | - A Kuceyeski
- Department of Radiology (A.K.), Weill Cornell Medicine, Feil Family Brain and Mind Research Institute, New York, New York
| | - R Zivadinov
- From the Department of Neurology (T.F., K.C., N.B., D.R., D.J., R.Z., M.G.D.), Buffalo Neuroimaging Analysis Center.,MR Imaging Clinical Translational Research Center (R.Z.), Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
| | - M G Dwyer
- From the Department of Neurology (T.F., K.C., N.B., D.R., D.J., R.Z., M.G.D.), Buffalo Neuroimaging Analysis Center .,Department of Neurology (T.F., R.H.B.B., N.B., D.R., D.J., B.W.G., M.G.D.), Jacobs Multiple Sclerosis Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York
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36
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Zeydan B, Lowe VJ, Schwarz CG, Przybelski SA, Tosakulwong N, Zuk SM, Senjem ML, Gunter JL, Roberts RO, Mielke MM, Benarroch EE, Rodriguez M, Machulda MM, Lesnick TG, Knopman DS, Petersen RC, Jack CR, Kantarci K, Kantarci OH. Pittsburgh compound-B PET white matter imaging and cognitive function in late multiple sclerosis. Mult Scler 2018; 24:739-749. [PMID: 28474977 PMCID: PMC5665724 DOI: 10.1177/1352458517707346] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Abstract
BACKGROUND There is growing interest in white matter (WM) imaging with positron emission tomography (PET). OBJECTIVES We studied the association of cognitive function in late multiple sclerosis (MS) with cortical and WM Pittsburgh compound-B PET (PiB-PET) binding. METHODS In the population-based Mayo Clinic Study of Aging, 24 of 4869 participants had MS (12 underwent PiB-PET). Controls were age and sex matched (5:1). We used automated or semi-automated processing for quantitative image analyses and conditional logistic regression for group differences. RESULTS MS patients had lower memory ( p = 0.03) and language ( p = 0.02) performance; smaller thalamic volumes ( p = 0.003); and thinner temporal ( p = 0.001) and frontal ( p = 0.045) cortices on magnetic resonance imaging (MRI) than controls. There was no difference in global cortical PiB standardized uptake value ratios between MS and controls ( p = 0.35). PiB uptake was lower in areas of WM hyperintensities compared to normal-appearing white matter (NAWM) in MS ( p = 0.0002). Reduced PiB uptake in both the areas of WM hyperintensities ( r = 0.65; p = 0.02) and NAWM ( r = 0.69; p = 0.01) was associated with decreased visuospatial performance in MS. CONCLUSION PiB uptake in the cortex in late MS is not different from normal age-matched controls. PiB uptake in the WM in late MS may be a marker of the large network structures' integrity such as those involved in visuospatial performance.
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Affiliation(s)
- Burcu Zeydan
- Mayo Clinic College of Medicine, Department of Neurology, Rochester, Minnesota, United States of America
- Mayo Clinic College of Medicine, Department of Radiology, Rochester, Minnesota, United States of America
| | - Val J. Lowe
- Mayo Clinic College of Medicine, Department of Radiology, Rochester, Minnesota, United States of America
| | - Christopher G. Schwarz
- Mayo Clinic College of Medicine, Department of Radiology, Rochester, Minnesota, United States of America
| | - Scott A. Przybelski
- Mayo Clinic College of Medicine, Department of Health Sciences Research, Rochester, Minnesota, United States of America
| | - Nirubol Tosakulwong
- Mayo Clinic College of Medicine, Department of Health Sciences Research, Rochester, Minnesota, United States of America
| | - Samantha M. Zuk
- Mayo Clinic College of Medicine, Department of Radiology, Rochester, Minnesota, United States of America
| | - Matthew L. Senjem
- Mayo Clinic College of Medicine, Department of Radiology, Rochester, Minnesota, United States of America
- Mayo Clinic College of Medicine, Department of Information Technology, Rochester, Minnesota, United States of America
| | - Jeffrey L. Gunter
- Mayo Clinic College of Medicine, Department of Information Technology, Rochester, Minnesota, United States of America
| | - Rosebud O. Roberts
- Mayo Clinic College of Medicine, Department of Neurology, Rochester, Minnesota, United States of America
- Mayo Clinic College of Medicine, Department of Health Sciences Research, Rochester, Minnesota, United States of America
| | - Michelle M. Mielke
- Mayo Clinic College of Medicine, Department of Neurology, Rochester, Minnesota, United States of America
- Mayo Clinic College of Medicine, Department of Health Sciences Research, Rochester, Minnesota, United States of America
| | - Eduardo E. Benarroch
- Mayo Clinic College of Medicine, Department of Neurology, Rochester, Minnesota, United States of America
| | - Moses Rodriguez
- Mayo Clinic College of Medicine, Department of Neurology, Rochester, Minnesota, United States of America
| | - Mary M. Machulda
- Mayo Clinic College of Medicine, Department of Psychiatry and Psychology, Rochester, Minnesota, United States of America
| | - Timothy G. Lesnick
- Mayo Clinic College of Medicine, Department of Health Sciences Research, Rochester, Minnesota, United States of America
| | - David S. Knopman
- Mayo Clinic College of Medicine, Department of Neurology, Rochester, Minnesota, United States of America
| | - Ronald C. Petersen
- Mayo Clinic College of Medicine, Department of Neurology, Rochester, Minnesota, United States of America
| | - Clifford R. Jack
- Mayo Clinic College of Medicine, Department of Radiology, Rochester, Minnesota, United States of America
| | - Kejal Kantarci
- Mayo Clinic College of Medicine, Department of Radiology, Rochester, Minnesota, United States of America
| | - Orhun H. Kantarci
- Mayo Clinic College of Medicine, Department of Neurology, Rochester, Minnesota, United States of America
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37
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Zivadinov R, Bergsland N, Hagemeier J, Carl E, Kolb H, Hojnacki D, Weinstock-Guttman B. Effect of teriflunomide on gray and white matter brain pathology in multiple sclerosis using volumetric and diffusion-tensor imaging MRI measures. J Neurol Sci 2018; 388:175-181. [DOI: 10.1016/j.jns.2018.03.028] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2017] [Revised: 02/28/2018] [Accepted: 03/15/2018] [Indexed: 01/15/2023]
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38
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Zivadinov R, Hagemeier J, Bergsland N, Tavazzi E, Weinstock‐Guttman B. Effect of dimethyl fumarate on gray and white matter pathology in subjects with relapsing multiple sclerosis: a longitudinal study. Eur J Neurol 2018; 25:584-e36. [DOI: 10.1111/ene.13562] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2017] [Accepted: 12/27/2017] [Indexed: 12/31/2022]
Affiliation(s)
- R. Zivadinov
- Department of Neurology Buffalo Neuroimaging Analysis Center Jacobs School of Medicine and Biomedical Sciences University at Buffalo State University of New York Buffalo NY USA
- Translational Imaging Center at Clinical and Translational Science Institute Jacobs School of Medicine and Biomedical Sciences University at Buffalo State University of New York Buffalo NY USA
| | - J. Hagemeier
- Department of Neurology Buffalo Neuroimaging Analysis Center Jacobs School of Medicine and Biomedical Sciences University at Buffalo State University of New York Buffalo NY USA
| | - N. Bergsland
- Department of Neurology Buffalo Neuroimaging Analysis Center Jacobs School of Medicine and Biomedical Sciences University at Buffalo State University of New York Buffalo NY USA
| | - E. Tavazzi
- Department of Neurology Buffalo Neuroimaging Analysis Center Jacobs School of Medicine and Biomedical Sciences University at Buffalo State University of New York Buffalo NY USA
| | - B. Weinstock‐Guttman
- Department of Neurology Jacobs Comprehensive MS Treatment and Research Center Jacobs School of Medicine and Biomedical Sciences University at Buffalo State University of New York Buffalo NY USA
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39
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Schweser F, Raffaini Duarte Martins AL, Hagemeier J, Lin F, Hanspach J, Weinstock-Guttman B, Hametner S, Bergsland N, Dwyer MG, Zivadinov R. Mapping of thalamic magnetic susceptibility in multiple sclerosis indicates decreasing iron with disease duration: A proposed mechanistic relationship between inflammation and oligodendrocyte vitality. Neuroimage 2018; 167:438-452. [PMID: 29097315 PMCID: PMC5845810 DOI: 10.1016/j.neuroimage.2017.10.063] [Citation(s) in RCA: 54] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2017] [Revised: 10/24/2017] [Accepted: 10/27/2017] [Indexed: 12/13/2022] Open
Abstract
Recent advances in susceptibility MRI have dramatically improved the visualization of deep gray matter brain regions and the quantification of their magnetic properties in vivo, providing a novel tool to study the poorly understood iron homeostasis in the human brain. In this study, we used an advanced combination of the recent quantitative susceptibility mapping technique with dedicated analysis methods to study intra-thalamic tissue alterations in patients with clinically isolated syndrome (CIS) and multiple sclerosis (MS). Thalamic pathology is one of the earliest hallmarks of MS and has been shown to correlate with cognitive dysfunction and fatigue, but the mechanisms underlying the thalamic pathology are poorly understood. We enrolled a total of 120 patients, 40 with CIS, 40 with Relapsing Remitting MS (RRMS), and 40 with Secondary Progressive MS (SPMS). For each of the three patient groups, we recruited 40 controls, group matched for age- and sex (120 total). We acquired quantitative susceptibility maps using a single-echo gradient echo MRI pulse sequence at 3 T. Group differences were studied by voxel-based analysis as well as with a custom thalamus atlas. We used threshold-free cluster enhancement (TFCE) and multiple regression analyses, respectively. We found significantly reduced magnetic susceptibility compared to controls in focal thalamic subregions of patients with RRMS (whole thalamus excluding the pulvinar nucleus) and SPMS (primarily pulvinar nucleus), but not in patients with CIS. Susceptibility reduction was significantly associated with disease duration in the pulvinar, the left lateral nuclear region, and the global thalamus. Susceptibility reduction indicates a decrease in tissue iron concentration suggesting an involvement of chronic microglia activation in the depletion of iron from oligodendrocytes in this central and integrative brain region. Not necessarily specific to MS, inflammation-mediated iron release may lead to a vicious circle that reduces the protection of axons and neuronal repair.
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Affiliation(s)
- Ferdinand Schweser
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA; Center for Biomedical Imaging, Clinical and Translational Science Institute, University at Buffalo, The State University of New York, Buffalo, NY, USA.
| | - Ana Luiza Raffaini Duarte Martins
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Jesper Hagemeier
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Fuchun Lin
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Jannis Hanspach
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA; Institute of Radiology, University Hospital Erlangen, Erlangen, Germany
| | - Bianca Weinstock-Guttman
- Jacobs Multiple Sclerosis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Simon Hametner
- Department of Neuroimmunology, Center for Brain Research, Medical University of Vienna, Vienna, Austria
| | - Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, Buffalo, NY, USA; Center for Biomedical Imaging, Clinical and Translational Science Institute, University at Buffalo, The State University of New York, Buffalo, NY, USA
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40
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Azevedo CJ, Cen SY, Khadka S, Liu S, Kornak J, Shi Y, Zheng L, Hauser SL, Pelletier D. Thalamic atrophy in multiple sclerosis: A magnetic resonance imaging marker of neurodegeneration throughout disease. Ann Neurol 2018; 83:223-234. [PMID: 29328531 DOI: 10.1002/ana.25150] [Citation(s) in RCA: 160] [Impact Index Per Article: 26.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2017] [Revised: 11/17/2017] [Accepted: 11/26/2017] [Indexed: 01/10/2023]
Abstract
OBJECTIVE Thalamic volume is a candidate magnetic resonance imaging (MRI)-based marker associated with neurodegeneration to hasten development of neuroprotective treatments. Our objective is to describe the longitudinal evolution of thalamic atrophy in MS and normal aging, and to estimate sample sizes for study design. METHODS Six hundred one subjects (2,632 MRI scans) were analyzed. Five hundred twenty subjects with relapse-onset MS (clinically isolated syndrome, n = 90; relapsing-remitting MS, n = 392; secondary progressive MS, n = 38) underwent annual standardized 3T MRI scans for an average of 4.1 years, including a 1mm3 3-dimensional T1-weighted sequence (3DT1; 2,485 MRI scans). Eighty-one healthy controls (HC) were scanned longitudinally on the same scanner using the same protocol (147 MRI scans). 3DT1s were processed using FreeSurfer's longitudinal pipeline after lesion inpainting. Rates of normalized thalamic volume loss in MS and HC were compared in linear mixed effects models. Simulation-based sample size calculations were performed incorporating the rate of atrophy in HC. RESULTS Thalamic volume declined significantly faster in MS subjects compared to HC, with an estimated decline of -0.71% per year (95% confidence interval [CI] = -0.77% to -0.64%) in MS subjects and -0.28% per year (95% CI = -0.58% to 0.02%) in HC (p for difference = 0.007). The rate of decline was consistent throughout the MS disease duration and across MS clinical subtypes. Eighty or 100 subjects per arm (α = 0.1 or 0.05, respectively) would be needed to detect the maximal effect size with 80% power in a 24-month study. INTERPRETATION Thalamic atrophy occurs early and consistently throughout MS. Preliminary sample size calculations appear feasible, adding to its appeal as an MRI marker associated with neurodegeneration. Ann Neurol 2018;83:223-234.
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Affiliation(s)
| | - Steven Y Cen
- Department of Neurology, University of Southern California, Los Angeles, CA
| | | | - Shuang Liu
- Department of Neurology, Yale University, New Haven, CT
| | - John Kornak
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA
| | - Yonggang Shi
- Department of Neurology, University of Southern California, Los Angeles, CA
| | - Ling Zheng
- Department of Neurology, University of Southern California, Los Angeles, CA
| | - Stephen L Hauser
- Department of Neurology, University of California, San Francisco, San Francisco, CA
| | - Daniel Pelletier
- Department of Neurology, University of Southern California, Los Angeles, CA
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42
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Trempler I, Binder E, El-Sourani N, Schiffler P, Tenberge JG, Schiffer AM, Fink GR, Schubotz RI. Association of grey matter changes with stability and flexibility of prediction in akinetic-rigid Parkinson's disease. Brain Struct Funct 2018; 223:2097-2111. [PMID: 29374792 DOI: 10.1007/s00429-018-1616-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2017] [Accepted: 01/22/2018] [Indexed: 10/18/2022]
Abstract
Parkinson's disease (PD), which is caused by degeneration of dopaminergic neurons in the midbrain, results in a heterogeneous clinical picture including cognitive decline. Since the phasic signal of dopamine neurons is proposed to guide learning by signifying mismatches between subjects' expectations and external events, we here investigated whether akinetic-rigid PD patients without mild cognitive impairment exhibit difficulties in dealing with either relevant (requiring flexibility) or irrelevant (requiring stability) prediction errors. Following our previous study on flexibility and stability in prediction (Trempler et al. J Cogn Neurosci 29(2):298-309, 2017), we then assessed whether deficits would correspond with specific structural alterations in dopaminergic regions as well as in inferior frontal cortex, medial prefrontal cortex, and the hippocampus. Twenty-one healthy controls and twenty-one akinetic-rigid PD patients on and off medication performed a task which required to serially predict upcoming items. Switches between predictable sequences had to be indicated via button press, whereas sequence omissions had to be ignored. Independent of the disease, midbrain volume was related to a general response bias to unexpected events, whereas right putamen volume correlated with the ability to discriminate between relevant and irrelevant prediction errors. However, patients compared with healthy participants showed deficits in stabilisation against irrelevant prediction errors, associated with thickness of right inferior frontal gyrus and left medial prefrontal cortex. Flexible updating due to relevant prediction errors was also affected in patients compared with controls and associated with right hippocampus volume. Dopaminergic medication influenced behavioural performance across, but not within the patients. Our exploratory study warrants further research on deficient prediction error processing and its structural correlates as a core of cognitive symptoms occurring already in early stages of the disease.
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Affiliation(s)
- Ima Trempler
- Department of Psychology, Westfälische Wilhelms-Universität, 48149, Münster, Germany. .,Institute of Neuroscience and Medicine (INM3), Cognitive Neuroscience, Research Centre Jülich, 52425, Jülich, Germany. .,Otto Creutzfeldt Center for Cognitive and Behavioral Neuroscience, Westfälische Wilhelms-Universität, Fliednerstr. 21, 48149, Münster, Germany.
| | - Ellen Binder
- Institute of Neuroscience and Medicine (INM3), Cognitive Neuroscience, Research Centre Jülich, 52425, Jülich, Germany.,Department of Neurology, University Hospital Cologne, 50937, Cologne, Germany
| | - Nadiya El-Sourani
- Department of Psychology, Westfälische Wilhelms-Universität, 48149, Münster, Germany.,Department of Neurology, University Hospital Cologne, 50937, Cologne, Germany
| | - Patrick Schiffler
- Department of Neurology, University Hospital Münster, 48149, Münster, Germany
| | - Jan-Gerd Tenberge
- Department of Neurology, University Hospital Münster, 48149, Münster, Germany
| | - Anne-Marike Schiffer
- Department of Life Sciences, Division of Psychology, Brunel University, UB8 3PH, Uxbridge, UK
| | - Gereon R Fink
- Institute of Neuroscience and Medicine (INM3), Cognitive Neuroscience, Research Centre Jülich, 52425, Jülich, Germany.,Department of Neurology, University Hospital Cologne, 50937, Cologne, Germany
| | - Ricarda I Schubotz
- Department of Psychology, Westfälische Wilhelms-Universität, 48149, Münster, Germany.,Otto Creutzfeldt Center for Cognitive and Behavioral Neuroscience, Westfälische Wilhelms-Universität, Fliednerstr. 21, 48149, Münster, Germany.,Department of Neurology, University Hospital Cologne, 50937, Cologne, Germany
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Solomon AJ, Watts R, Dewey BE, Reich DS. MRI evaluation of thalamic volume differentiates MS from common mimics. NEUROLOGY-NEUROIMMUNOLOGY & NEUROINFLAMMATION 2017; 4:e387. [PMID: 28761906 PMCID: PMC5515603 DOI: 10.1212/nxi.0000000000000387] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/16/2017] [Accepted: 06/13/2017] [Indexed: 12/20/2022]
Abstract
Objective: To determine whether MRI evaluation of thalamic volume differentiates MS from other disorders that cause MRI white matter abnormalities. Methods: There were 40 study participants: 10 participants with MS without additional comorbidities for white matter abnormalities (MS − c); 10 participants with MS with additional comorbidities for white matter abnormalities (MS + c); 10 participants with migraine, MRI white matter abnormalities, and no additional comorbidities for white matter abnormalities (Mig − c); and 10 participants previously incorrectly diagnosed with MS (Misdx). T1-magnetization-prepared rapid gradient-echo and T2-weighted three-dimensional fluid attenuation inversion recovery sequences were acquired on a Phillips Achieva d-Stream 3T MRI, and scans were randomly ordered and de-identified for a blinded reviewer who performed MRI segmentation using LesionTOADS. Results: Mean normalized thalamic volume differed among the 4 cohorts (analysis of variance, p = 0.005) and was smaller in the 20 MS participants compared with the 20 non-MS participants (p < 0.001), smaller in MS − c compared with Mig − c (p = 0.03), and smaller in MS + c compared with Misdx (p = 0.006). The sensitivity and specificity were both 0.75 for diagnosis of MS with a thalamic volume <0.0077. Conclusions: MRI volumetric evaluation of the thalamus, but not other deep gray-matter structures, differentiated MS from other diseases that cause white matter abnormalities and are often mistaken for MS. Evaluation for thalamic atrophy may improve accuracy for diagnosis of MS as an adjunct to additional radiologic criteria. Thalamic volumetric assessment by MRI in larger cohorts of patients undergoing evaluation for MS is needed, along with the development of automated and easily applied volumetric assessment tools for future clinical application. Classification of evidence: This study provides Class III evidence that MRI evaluation of thalamic volume differentiates MS from other diseases that cause white matter abnormalities.
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Affiliation(s)
- Andrew J Solomon
- Department of Neurological Sciences (A.J.S.) and Department of Radiology (R.W.), University of Vermont College of Medicine, Burlington; Department of Electrical and Computer Engineering (B.E.D.), Johns Hopkins University; and Translational Neuroradiology Section (B.E.D., D.S.R.), Division of Neuroimmunology and Neurovirology, National Institute of Neurological Disorders and Stroke, Bethesda, MD
| | - Richard Watts
- Department of Neurological Sciences (A.J.S.) and Department of Radiology (R.W.), University of Vermont College of Medicine, Burlington; Department of Electrical and Computer Engineering (B.E.D.), Johns Hopkins University; and Translational Neuroradiology Section (B.E.D., D.S.R.), Division of Neuroimmunology and Neurovirology, National Institute of Neurological Disorders and Stroke, Bethesda, MD
| | - Blake E Dewey
- Department of Neurological Sciences (A.J.S.) and Department of Radiology (R.W.), University of Vermont College of Medicine, Burlington; Department of Electrical and Computer Engineering (B.E.D.), Johns Hopkins University; and Translational Neuroradiology Section (B.E.D., D.S.R.), Division of Neuroimmunology and Neurovirology, National Institute of Neurological Disorders and Stroke, Bethesda, MD
| | - Daniel S Reich
- Department of Neurological Sciences (A.J.S.) and Department of Radiology (R.W.), University of Vermont College of Medicine, Burlington; Department of Electrical and Computer Engineering (B.E.D.), Johns Hopkins University; and Translational Neuroradiology Section (B.E.D., D.S.R.), Division of Neuroimmunology and Neurovirology, National Institute of Neurological Disorders and Stroke, Bethesda, MD
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Biberacher V, Schmidt P, Selter RC, Pernpeinter V, Kowarik MC, Knier B, Buck D, Hoshi MM, Korn T, Berthele A, Kirschke JS, Zimmer C, Hemmer B, Mühlau M. Fatigue in multiple sclerosis: Associations with clinical, MRI and CSF parameters. Mult Scler 2017; 24:1115-1125. [PMID: 28539075 DOI: 10.1177/1352458517712078] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Damage of different brain structures has been related to fatigue. Alternatively, functional alterations of central nervous system (CNS) cells by the inflammatory milieu within the CNS may be responsible for the development of fatigue. AIM To investigate the effect of structural brain damage and inflammatory cerebrospinal fluid (CSF) changes on fatigue in multiple sclerosis (MS). METHODS We determined the association of different clinical, CSF and magnetic resonance imaging (MRI) parameters with prevalence and severity of fatigue, as measured by the Fatigue Scale for Motor and Cognitive Functions in 68 early MS patients (discovery cohort). We validated our findings in two MS cohorts: the MRI validation cohort ( N = 233) for the clinical and MRI parameters, and the CSF validation cohort ( N = 81) for the clinical and CSF parameters. RESULTS Fatigue was associated with clinical disability. Fatigue did not correlate with any CSF parameter but correlated negatively with total and cortical grey matter volume. However, when controlling for Expanded Disability Status Scale (EDSS) in a multivariate model, these associations lost significance. CONCLUSION Disability and disease duration best explain fatigue severity but none of the tested MRI or CSF parameter was reliably associated with fatigue.
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Affiliation(s)
- Viola Biberacher
- Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany/Neuroimaging Center, Technische Universität München, Munich, Germany
| | - Paul Schmidt
- Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany/Neuroimaging Center, Technische Universität München, Munich, Germany/Department of Statistics, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Rebecca C Selter
- Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Verena Pernpeinter
- Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Markus C Kowarik
- Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany/Munich Cluster for Systems Neurology (SyNergy), Ludwig-Maximilians-Universität München, Munich, Germany
| | - Benjamin Knier
- Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Dorothea Buck
- Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Muna-Miriam Hoshi
- Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Thomas Korn
- Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany/Munich Cluster for Systems Neurology (SyNergy), Ludwig-Maximilians-Universität München, Munich, Germany
| | - Achim Berthele
- Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Jan S Kirschke
- Department of Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Claus Zimmer
- Department of Neuroradiology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany
| | - Bernhard Hemmer
- Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany/Munich Cluster for Systems Neurology (SyNergy), Ludwig-Maximilians-Universität München, Munich, Germany
| | - Mark Mühlau
- Department of Neurology, Klinikum rechts der Isar, Technische Universität München, Munich, Germany/Neuroimaging Center, Technische Universität München, Munich, Germany
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45
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Doche E, Lecocq A, Maarouf A, Duhamel G, Soulier E, Confort-Gouny S, Rico A, Guye M, Audoin B, Pelletier J, Ranjeva JP, Zaaraoui W. Hypoperfusion of the thalamus is associated with disability in relapsing remitting multiple sclerosis. J Neuroradiol 2017; 44:158-164. [DOI: 10.1016/j.neurad.2016.10.001] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2016] [Revised: 08/12/2016] [Accepted: 10/06/2016] [Indexed: 10/20/2022]
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46
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Brown JWL, Pardini M, Brownlee WJ, Fernando K, Samson RS, Prados Carrasco F, Ourselin S, Gandini Wheeler-Kingshott CAM, Miller DH, Chard DT. An abnormal periventricular magnetization transfer ratio gradient occurs early in multiple sclerosis. Brain 2017; 140:387-398. [PMID: 28043954 DOI: 10.1093/brain/aww296] [Citation(s) in RCA: 53] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2016] [Revised: 08/16/2016] [Accepted: 09/28/2016] [Indexed: 11/13/2022] Open
Abstract
In established multiple sclerosis, tissue abnormality-as assessed using magnetization transfer ratio-increases close to the lateral ventricles. We aimed to determine whether or not (i) these changes are present from the earliest clinical stages of multiple sclerosis; (ii) they occur independent of white matter lesions; and (iii) they are associated with subsequent conversion to clinically definite multiple sclerosis and disability. Seventy-one subjects had MRI scanning a median of 4.6 months after a clinically isolated optic neuritis (49 females, mean age 33.5 years) and were followed up clinically 2 and 5 years later. Thirty-seven healthy controls (25 females, mean age 34.4 years) were also scanned. In normal-appearing white matter, magnetization transfer ratio gradients were measured 1-5 mm and 6-10 mm from the lateral ventricles. In control subjects, magnetization transfer ratio was highest adjacent to the ventricles and decreased with distance from them; in optic neuritis, normal-appearing white matter magnetization transfer ratio was lowest adjacent to the ventricles, increased over the first 5 mm, and then paralleled control values. The magnetization transfer ratio gradient over 1-5 mm differed significantly between the optic neuritis and control groups [+0.059 percentage units/mm (pu/mm) versus -0.033 pu/mm, P = 0.010], and was significantly steeper in those developing clinically definite multiple sclerosis within 2 years compared to those who did not (0.132 pu/mm versus 0.016 pu/mm, P = 0.020). In multivariate binary logistic regression the magnetization transfer ratio gradient was independently associated with the development of clinically definite multiple sclerosis within 2 years (magnetization transfer ratio gradient odds ratio 61.708, P = 0.023; presence of T2 lesions odds ratio 8.500, P = 0.071). At 5 years, lesional measures overtook magnetization transfer ratio gradients as significant predictors of conversion to multiple sclerosis. The magnetization transfer ratio gradient was not significantly affected by the presence of brain lesions [T2 lesions (P = 0.918), periventricular T2 lesions (P = 0.580) or gadolinium-enhancing T1 lesions (P = 0.724)]. The magnetization transfer ratio gradient also correlated with Expanded Disability Status Scale score 5 years later (Spearman r = 0.313, P = 0.027). An abnormal periventricular magnetization transfer ratio gradient occurs early in multiple sclerosis, is clinically relevant, and may arise from one or more mechanisms that are at least partly independent of lesion formation.
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Affiliation(s)
- J William L Brown
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, University College London (UCL) Institute of Neurology, London, UK.,Department of Clinical Neurosciences, University of Cambridge, Box 165, Cambridge Biomedical Campus, Cambridge, UK
| | - Matteo Pardini
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, University College London (UCL) Institute of Neurology, London, UK.,Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, and IRCCS AOU San Martino-IST, Genoa, Italy
| | - Wallace J Brownlee
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, University College London (UCL) Institute of Neurology, London, UK
| | - Kryshani Fernando
- Department of Neurology, Royal Free Hospital, Pond Street, London, UK
| | - Rebecca S Samson
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, University College London (UCL) Institute of Neurology, London, UK
| | - Ferran Prados Carrasco
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, University College London (UCL) Institute of Neurology, London, UK.,Translational Imaging Group, Centre for Medical Image Computing (CMIC), Department of Medical Physics and Bioengineering, University College London, London, UK.,National Institute for Health Research (NIHR) University College London Hospitals (UCLH) Biomedical Research Centre, UK
| | - Sebastien Ourselin
- Translational Imaging Group, Centre for Medical Image Computing (CMIC), Department of Medical Physics and Bioengineering, University College London, London, UK.,National Institute for Health Research (NIHR) University College London Hospitals (UCLH) Biomedical Research Centre, UK.,Dementia Research Centre, Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK
| | - Claudia A M Gandini Wheeler-Kingshott
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, University College London (UCL) Institute of Neurology, London, UK.,Brain MRI 3T Center, C. Mondino National Neurological Institute, Pavia, Italy.,Department of Brain and Behavioural Sciences, University of Pavia, Pavia, Italy
| | - David H Miller
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, University College London (UCL) Institute of Neurology, London, UK.,National Institute for Health Research (NIHR) University College London Hospitals (UCLH) Biomedical Research Centre, UK
| | - Declan T Chard
- NMR Research Unit, Queen Square Multiple Sclerosis Centre, University College London (UCL) Institute of Neurology, London, UK .,National Institute for Health Research (NIHR) University College London Hospitals (UCLH) Biomedical Research Centre, UK
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Han XM, Tian HJ, Han Z, Zhang C, Liu Y, Gu JB, Bakshi R, Cao X. Correlation between white matter damage and gray matter lesions in multiple sclerosis patients. Neural Regen Res 2017; 12:787-794. [PMID: 28616036 PMCID: PMC5461617 DOI: 10.4103/1673-5374.206650] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
We observed the characteristics of white matter fibers and gray matter in multiple sclerosis patients, to identify changes in diffusion tensor imaging fractional anisotropy values following white matter fiber injury. We analyzed the correlation between fractional anisotropy values and changes in whole-brain gray matter volume. The participants included 20 patients with relapsing-remitting multiple sclerosis and 20 healthy volunteers as controls. All subjects underwent head magnetic resonance imaging and diffusion tensor imaging. Our results revealed that fractional anisotropy values decreased and gray matter volumes were reduced in the genu and splenium of corpus callosum, left anterior thalamic radiation, hippocampus, uncinate fasciculus, right corticospinal tract, bilateral cingulate gyri, and inferior longitudinal fasciculus in multiple sclerosis patients. Gray matter volumes were significantly different between the two groups in the right frontal lobe (superior frontal, middle frontal, precentral, and orbital gyri), right parietal lobe (postcentral and inferior parietal gyri), right temporal lobe (caudate nucleus), right occipital lobe (middle occipital gyrus), right insula, right parahippocampal gyrus, and left cingulate gyrus. The voxel sizes of atrophic gray matter positively correlated with fractional anisotropy values in white matter association fibers in the patient group. These findings suggest that white matter fiber bundles are extensively injured in multiple sclerosis patients. The main areas of gray matter atrophy in multiple sclerosis are the frontal lobe, parietal lobe, caudate nucleus, parahippocampal gyrus, and cingulate gyrus. Gray matter atrophy is strongly associated with white matter injury in multiple sclerosis patients, particularly with injury to association fibers.
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Affiliation(s)
- Xue-Mei Han
- First Department of Neurology, China-Japan Union Hospital of Jilin University, Changchun, Jilin Province, China
| | - Hong-Ji Tian
- First Department of Neurology, China-Japan Union Hospital of Jilin University, Changchun, Jilin Province, China
| | - Zheng Han
- First Department of Neurology, China-Japan Union Hospital of Jilin University, Changchun, Jilin Province, China
| | - Ce Zhang
- Department of Clinical Medicine (Grade 2013 Student), School of Clinical Medicine, Jilin University, Changchun, Jilin Province, China
| | - Ying Liu
- First Department of Neurology, China-Japan Union Hospital of Jilin University, Changchun, Jilin Province, China
| | - Jie-Bing Gu
- First Department of Neurology, China-Japan Union Hospital of Jilin University, Changchun, Jilin Province, China
| | - Rohit Bakshi
- Department of Neurology, Brigham and Women's Hospital, Laboratory for Neuroimaging Research, Partners MS Center, Harvard Medical School, Boston, MA, USA
| | - Xia Cao
- School of Pharmaceutical Sciences, Jilin University, Changchun, Jilin Province, China
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48
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Dupuy SL, Tauhid S, Hurwitz S, Chu R, Yousuf F, Bakshi R. The Effect of Dimethyl Fumarate on Cerebral Gray Matter Atrophy in Multiple Sclerosis. Neurol Ther 2016; 5:215-229. [PMID: 27744504 PMCID: PMC5130921 DOI: 10.1007/s40120-016-0054-4] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2016] [Indexed: 10/25/2022] Open
Abstract
INTRODUCTION The objective of this pilot study was to compare cerebral gray matter (GM) atrophy over 1 year in patients starting dimethyl fumarate (DMF) for multiple sclerosis (MS) to that of patients on no disease-modifying treatment (noDMT). DMF is an established therapy for relapsing-remitting (RR) MS. METHODS We retrospectively analyzed 20 patients with RRMS at the start of DMF [age (mean ± SD) 46.1 ± 10.2 years, Expanded Disability Status Scale (EDSS) score 1.1 ± 1.2, timed 25-foot walk (T25FW) 4.6 ± 0.8 s] and eight patients on noDMT (age 42.5 ± 6.6 years, EDSS 1.7 ± 1.1, T25FW 4.4 ± 0.6 s). Baseline and 1-year 3D T1-weighted 3T MRI was processed with automated pipelines (SIENA, FSL-FIRST) to assess percentage whole brain volume change (PBVC) and deep GM (DGM) atrophy. Group differences were assessed by analysis of covariance, with time between MRI scans as a covariate. RESULTS Over 1 year, the DMF group showed a lower rate of whole brain atrophy than the noDMT group (PBVC: -0.37 ± 0.49% vs. -1.04 ± 0.67%, p = 0.005). The DMF group also had less change in putamen volume (-0.06 ± 0.22 vs. -0.32 ± 0.28 ml, p = 0.02). There were no significant on-study differences between groups in caudate, globus pallidus, thalamus, total DGM volume, T2 lesion volume, EDSS, or T25FW (all p > 0.20). CONCLUSIONS These results suggest a treatment effect of DMF on GM atrophy appearing at 1 year after starting therapy. However, due to the retrospective study design and sample size, these findings should be considered preliminary, and require confirmation in future investigations. FUNDING Biogen.
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Affiliation(s)
- Sheena L Dupuy
- Department of Neurology, Laboratory for Neuroimaging Research, Partners MS Center, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | - Shahamat Tauhid
- Department of Neurology, Laboratory for Neuroimaging Research, Partners MS Center, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | - Shelley Hurwitz
- Department of Medicine, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | - Renxin Chu
- Department of Neurology, Laboratory for Neuroimaging Research, Partners MS Center, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | - Fawad Yousuf
- Department of Neurology, Laboratory for Neuroimaging Research, Partners MS Center, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA
| | - Rohit Bakshi
- Departments of Neurology and Radiology, Laboratory for Neuroimaging Research, Partners MS Center, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, USA.
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49
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Ghaffarian N, Mesgari M, Cerina M, Göbel K, Budde T, Speckmann EJ, Meuth SG, Gorji A. Thalamocortical-auditory network alterations following cuprizone-induced demyelination. J Neuroinflammation 2016; 13:160. [PMID: 27334140 PMCID: PMC4918138 DOI: 10.1186/s12974-016-0629-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2016] [Accepted: 06/15/2016] [Indexed: 12/14/2022] Open
Abstract
Background Demyelination and remyelination are common pathological processes in many neurological disorders, including multiple sclerosis (MS). Clinical evidence suggests extensive involvement of the thalamocortical (TC) system in patients suffering from MS. Methods Using murine brain slices of the primary auditory cortex, we investigated the functional consequences of cuprizone-induced de- and remyelination on neuronal activity and auditory TC synaptic transmission in vitro. Results Our results revealed an impact of myelin loss and restoration on intrinsic cellular firing patterns, synaptic transmission, and neuronal plasticity in layer 3 and 4 neurons of the auditory TC network. While there was a complex hyper- and depolarizing shift of the resting membrane potential, spontaneous and induced action potential firing was reduced during demyelination and early remyelination. In addition, excitatory postsynaptic potential amplitudes were decreased and induction of LTP was reduced during demyelination. Conclusions These data indicate that demyelination-induced impairment of neurons and network activity within the TC system may underlie clinical symptoms observed in demyelinating diseases, corroborating human findings that disease progression is significantly correlated with microstructural tissue damage of the TC system. Further investigation into focal inflammation-induced demyelination models ex vivo and in vivo are needed to understand the functional implication of local and remote lesion formation on TC network activity in MS.
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Affiliation(s)
- Nikoo Ghaffarian
- Epilepsy Research Center, Westfälische Wilhelms-Universität Münster, University of Münster, Robert-Koch-Straße 27a, 48149, Münster, Germany
| | - Masoud Mesgari
- Epilepsy Research Center, Westfälische Wilhelms-Universität Münster, University of Münster, Robert-Koch-Straße 27a, 48149, Münster, Germany
| | - Manuela Cerina
- Department of Neurology, Westfälische Wilhelms-Universität, University of Münster, Albert-Schweitzer-Campus 1, Building A1, 48149, Münster, Germany
| | - Kerstin Göbel
- Department of Neurology, Westfälische Wilhelms-Universität, University of Münster, Albert-Schweitzer-Campus 1, Building A1, 48149, Münster, Germany
| | - Thomas Budde
- Institute of Physiology I, Westfälische Wilhelms-Universität, Münster, Germany
| | - Erwin-Josef Speckmann
- Epilepsy Research Center, Westfälische Wilhelms-Universität Münster, University of Münster, Robert-Koch-Straße 27a, 48149, Münster, Germany
| | - Sven G Meuth
- Department of Neurology, Westfälische Wilhelms-Universität, University of Münster, Albert-Schweitzer-Campus 1, Building A1, 48149, Münster, Germany.
| | - Ali Gorji
- Epilepsy Research Center, Westfälische Wilhelms-Universität Münster, University of Münster, Robert-Koch-Straße 27a, 48149, Münster, Germany. .,Department of Neurology, Westfälische Wilhelms-Universität, University of Münster, Albert-Schweitzer-Campus 1, Building A1, 48149, Münster, Germany. .,Department of Neurosurgery, Westfälische Wilhelms-Universität Münster, Münster, Germany. .,Shefa Neuroscience Research Center, Khatam-Alanbia Hospital, Tehran, Iran.
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50
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A Sensitive and Automatic White Matter Fiber Tracts Model for Longitudinal Analysis of Diffusion Tensor Images in Multiple Sclerosis. PLoS One 2016; 11:e0156405. [PMID: 27224308 PMCID: PMC4880200 DOI: 10.1371/journal.pone.0156405] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2015] [Accepted: 05/13/2016] [Indexed: 12/12/2022] Open
Abstract
Diffusion tensor imaging (DTI) is a sensitive tool for the assessment of microstructural alterations in brain white matter (WM). We propose a new processing technique to detect, local and global longitudinal changes of diffusivity metrics, in homologous regions along WM fiber-bundles. To this end, a reliable and automatic processing pipeline was developed in three steps: 1) co-registration and diffusion metrics computation, 2) tractography, bundle extraction and processing, and 3) longitudinal fiber-bundle analysis. The last step was based on an original Gaussian mixture model providing a fine analysis of fiber-bundle cross-sections, and allowing a sensitive detection of longitudinal changes along fibers. This method was tested on simulated and clinical data. High levels of F-Measure were obtained on simulated data. Experiments on cortico-spinal tract and inferior fronto-occipital fasciculi of five patients with Multiple Sclerosis (MS) included in a weekly follow-up protocol highlighted the greater sensitivity of this fiber scale approach to detect small longitudinal alterations.
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