Increased total sodium concentration in gray matter better explains cognition than atrophy in MS
January 17, 2017 issue
88 (3) 289-295
Abstract
Objective:
To investigate whether brain total sodium accumulation assessed by 23Na MRI is associated with cognitive deficit in relapsing-remitting multiple sclerosis (RRMS).
Methods:
Eighty-nine participants were enrolled in the study (58 patients with RRMS with a disease duration ≤10 years and 31 matched healthy controls). Patients were classified as cognitively impaired if they failed at least 2 tasks on the Brief Repeatable Battery. MRI was performed at 3T using 23Na MRI to obtain total sodium concentration (TSC) in the different brain compartments (lesions, normal-appearing white matter [NAWM], gray matter [GM]) and 1H- magnetization-prepared rapid gradient echo to assess GM atrophy (GM fraction).
Results:
The mean disease duration was 3.1 years and the median Expanded Disability Status Scale score was 1 (range 0–4.5). Thirty-seven patients were classified as cognitively preserved and 21 as cognitively impaired. TSC was increased in GM and NAWM in cognitively impaired patients compared to cognitively preserved patients and healthy controls. Voxel-wise analysis demonstrated that sodium accumulation was mainly located in the neocortex in cognitively impaired patients. Regression analysis evidenced than the 2 best independent predictors of cognitive impairment were GM TSC and age. Receiver operating characteristic analyses demonstrated that sensitivity and specificity of the GM TSC to classify patients according to their cognitive status were 76% and 71%, respectively.
Conclusions:
This study provides 2 main findings. (1) In RRMS, total sodium accumulation in the GM is better associated with cognitive impairment than GM atrophy; and (2) total sodium accumulation in patients with cognitive impairment is mainly located in the neocortex.
Get full access to this article
View all available purchase options and get full access to this article.
Supplementary Material
File (table_e-1.doc)
- Download
- 74.50 KB
REFERENCES
1.
Rao SM, Leo GJ, Bernardin L, Unverzagt F. Cognitive dysfunction in multiple sclerosis: I: frequency, patterns, and prediction. Neurology 1991;41:685–691.
2.
Filippi M, Rocca MA. MR imaging of gray matter involvement in multiple sclerosis: implications for understanding disease pathophysiology and monitoring treatment efficacy. AJNR Am J Neuroradiol 2010;31:1171–1177.
3.
Amato MP, Bartolozzi ML, Zipoli V, et al. Neocortical volume decrease in relapsing-remitting MS patients with mild cognitive impairment. Neurology 2004;63:89–93.
4.
Rovaris M, Filippi M, Minicucci L, et al. Cortical/subcortical disease burden and cognitive impairment in patients with multiple sclerosis. AJNR Am J Neuroradiol 2000;21:402–408.
5.
Calabrese M, Agosta F, Rinaldi F, et al. Cortical lesions and atrophy associated with cognitive impairment in relapsing-remitting multiple sclerosis. Arch Neurol 2009;66:1144–1150.
6.
Benedict RHB, Bruce JM, Dwyer MG, et al. Neocortical atrophy, third ventricular width, and cognitive dysfunction in multiple sclerosis. Arch Neurol 2006;63:1301–1306.
7.
Fisniku LK, Chard DT, Jackson JS, et al. Gray matter atrophy is related to long-term disability in multiple sclerosis. Ann Neurol 2008;64:247–254.
8.
Gioia MC, Cerasa A, Liguori M, et al. Impact of individual cognitive profile on visuo-motor reorganization in relapsing–remitting multiple sclerosis. Brain Res 2007;1167:71–79.
9.
Steenwijk MD, Geurts JJ, Daams M, et al. Cortical atrophy patterns in multiple sclerosis are non-random and clinically relevant. Brain 2016;139:115–126.
10.
Waxman SG. Axonal conduction and injury in multiple sclerosis: the role of sodium channels. Nat Rev Neurosci 2006;7:932–941.
11.
Lassmann H. Axonal and neuronal pathology in multiple sclerosis: what have we learnt from animal models. Exp Neurol 2010;225:2–8.
12.
Mattioli F, Stampatori C, Bellomi F, Capra R. Natalizumab efficacy on cognitive impairment in MS. Neurol Sci 2010;31:321–323.
13.
Inglese M, Madelin G, Oesingmann N, et al. Brain tissue sodium concentration in multiple sclerosis: a sodium imaging study at 3 tesla. Brain 2010;133:847–857.
14.
Zaaraoui W, Konstandin S, Audoin B, et al. Distribution of brain sodium accumulation correlates with disability in multiple sclerosis: a cross-sectional 23Na MR imaging study. Radiology 2012;264:859–867.
15.
Paling D, Solanky BS, Riemer F, et al. Sodium accumulation is associated with disability and a progressive course in multiple sclerosis. Brain 2013;136:2305–2317.
16.
Maarouf A, Audoin B, Konstandin S, et al. Topography of brain sodium accumulation in progressive multiple sclerosis. MAGMA 2014;27:53–62.
17.
Petracca M, Vancea RO, Fleysher L, Jonkman LE, Oesingmann N, Inglese M. Brain intra- and extracellular sodium concentration in multiple sclerosis: a 7 T MRI study. Brain 2016;139:795–806.
18.
Polman CH, Reingold SC, Banwell B, et al. Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria. Ann Neurol 2011;69:292–302.
19.
Camp SJ, Stevenson VL, Thompson AJ, et al. A longitudinal study of cognition in primary progressive multiple sclerosis. Brain 2005;128:2891–2898.
20.
Reuter F, Zaaraoui W, Crespy L, et al. Frequency of cognitive impairment dramatically increases during the first 5 years of multiple sclerosis. J Neurol Neurosurg Psychiatry 2011;82:1157–1159.
21.
Nagel AM, Laun FB, Weber MA, Matthies C, Semmler W, Schad LR. Sodium MRI using a density-adapted 3D radial acquisition technique. Magn Reson Med 2009;62:1565–1573.
22.
Wiest-Daesslé N, Prima S, Coupé P, Morrissey SP, Barillot C. Rician noise removal by non-local means filtering for low signal-to-noise ratio MRI: applications to DT-MRI. Med Image Comput Comput Assist Interv 2008;11:171–179.
23.
Ge Y, Grossman RI, Udupa JK, Babb JS, Nyúl LG, Kolson DL. Brain atrophy in relapsing-remitting multiple sclerosis: fractional volumetric analysis of gray matter and white matter. Radiology 2001;220:606–610.
24.
Khaleeli Z, Cercignani M, Audoin B, Ciccarelli O, Miller DH, Thompson AJ. Localized grey matter damage in early primary progressive multiple sclerosis contributes to disability. Neuroimage 2007;37:253–261.
25.
La Corte V, Sperduti M, Malherbe C, et al. Cognitive decline and reorganization of functional connectivity in healthy aging: the pivotal role of the salience network in the prediction of age and cognitive performances. Front Aging Neurosci 2016;8:204.
26.
Nunnari D, De Cola MC, Costa A, Rifici C, Bramanti P, Marino S. Exploring cognitive reserve in multiple sclerosis: new findings from a cross-sectional study. J Clin Exp Neuropsychol 2016;38:1158–1167.
27.
Calabrese M, Magliozzi R, Ciccarelli O, Geurts JJG, Reynolds R, Martin R. Exploring the origins of grey matter damage in multiple sclerosis. Nat Rev Neurosci 2015;16:147–158.
28.
Wegner C, Esiri MM, Chance SA, Palace J, Matthews PM. Neocortical neuronal, synaptic, and glial loss in multiple sclerosis. Neurology 2006;67:960–967.
29.
Chiaravalloti ND, DeLuca J. Cognitive impairment in multiple sclerosis. Lancet Neurol 2008;7:1139–1151.
30.
Rocca MA, Amato MP, De Stefano N, et al. Clinical and imaging assessment of cognitive dysfunction in multiple sclerosis. Lancet Neurol 2015;14:302–317.
31.
Calabrese M, Rinaldi F, Mattisi I, et al. Widespread cortical thinning characterizes patients with MS with mild cognitive impairment. Neurology 2010;74:321–328.
32.
Rocca MA, Valsasina P, Hulst HE, et al. Functional correlates of cognitive dysfunction in multiple sclerosis: a multicenter fMRI study. Hum Brain Mapp 2014;35:5799–5814.
33.
Madelin G, Lee JS, Regatte RR, Jerschow A, Sodium MRI: methods and applications. Prog Nucl Magn Reson Spectrosc 2014;79:14–47.
34.
Bartha R, Menon RS. Long component time constant of 23Na T*2 relaxation in healthy human brain. Magn Reson Med 2004;52:407–410.
35.
Tsang A, Stobbe RW, Beaulieu C. Triple-quantum-filtered sodium imaging of the human brain at 4.7 T. Magn Reson Med 2012;67:1633–1643.
36.
Weingärtner S, Wetterling F, Konstandin S, Fatar M, Neumaier-Probst E, Schad LR. Scan time reduction in 23Na-magnetic resonance imaging using the chemical shift imaging sequence: evaluation of an iterative reconstruction method. Z Für Med Phys 2015;25:275–286.
37.
Lommen J, Konstandin S, Krämer P, Schad LR. Enhancing the quantification of tissue sodium content by MRI: time-efficient sodium B1 mapping at clinical field strengths. NMR Biomed 2016;29:129–136.
38.
Craner MJ, Damarjian TG, Liu S, et al. Sodium channels contribute to microglia/macrophage activation and function in EAE and MS. Glia 2005;49:220–229.
39.
Black JA, Newcombe J, Waxman SG. Astrocytes within multiple sclerosis lesions upregulate sodium channel Nav1.5. Brain 2010;133:835–846.
40.
Correale J, Farez MF. The role of astrocytes in multiple sclerosis progression. Front Neurol 2015;6:180.
Information & Authors
Information
Published In
Neurology®
Volume 88 • Number 3 • January 17, 2017
Pages: 289-295
Copyright
© 2016 American Academy of Neurology.
Publication History
Received: April 4, 2016
Accepted: October 6, 2016
Published online: December 14, 2016
Published in print: January 17, 2017
Authors
Author Contributions
A.M., B.A., A.R., J.P., J.-P.R., W.Z.: study concept and design. A.M., F.P., A.R., E.S., L.S., W.Z.: acquisition and analysis of data. A.M., B.A., S.G., S.C.-G., J.P., J.-P.R., W.Z.: analysis and interpretation of data. A.M., B.A., J.-P.R., W.Z.: study supervision, draft of the manuscript. S.C.G., M.G., L.S., J.P.: critical revision for important intellectual content. M.G., J.P.: administrative, technical, and material support.
Disclosure
A. Maarouf received travel grants from commercial pharmaceutical companies: Biogen Idec, Novartis, Merck Serono, Bayer Schering, MedDay, and Teva santé. B. Audoin received travel grants from commercial pharmaceutical companies: Biogen Idec, Novartis, Merck Serono, Bayer Schering, MedDay, and Teva santé. F. Pariollaud and S. Gherib report no disclosures relevant to the manuscript. A. Rico received travel grants from commercial pharmaceutical companies: Biogen Idec, Novartis, Merck Serono, Bayer Schering, MedDay, and Teva santé. E. Soulier, S. Confort-Gouny, M. Guye, and L. Schad report no disclosures relevant to the manuscript. J. Pelletier received travel grants from commercial pharmaceutical companies: Biogen Idec, Novartis, Merck Serono, Bayer Schering, MedDay, and Teva santé. J.P. received an unconditional grant from Novartis for this study. J.-P. Ranjeva and W. Zaaraoui report no disclosures relevant to the manuscript. Go to Neurology.org for full disclosures.
Study Funding
This study was supported by ARSEP Foundation, Association SEP Pays d'Aix, and Agence Nationale de la Recherche (ANR-09-MNPS-025-SODIUMS for the control group and unconditional grant from Novartis France).
Metrics & Citations
Metrics
Citations
Download Citations
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Select your manager software from the list below and click Download.
Cited By
- Patterns of inflammation, microstructural alterations, and sodium accumulation define multiple sclerosis subtypes after 15 years from onset, Frontiers in Neuroinformatics, 17, (2023).https://doi.org/10.3389/fninf.2023.1060511
- Influence of Residual Quadrupolar Interaction on Quantitative Sodium Brain Magnetic Resonance Imaging of Patients With Multiple Sclerosis, Investigative Radiology, 58, 10, (730-739), (2023).https://doi.org/10.1097/RLI.0000000000000981
- Variability by region and method in human brain sodium concentrations estimated by 23Na magnetic resonance imaging: a meta-analysis, Scientific Reports, 13, 1, (2023).https://doi.org/10.1038/s41598-023-30363-y
- Recent technical developments and clinical research applications of sodium (23Na) MRI, Progress in Nuclear Magnetic Resonance Spectroscopy, 138-139, (1-51), (2023).https://doi.org/10.1016/j.pnmrs.2023.04.002
- Quantitative Sodium (23Na) MRI in Pediatric Gliomas: Initial Experience, Diagnostics, 12, 5, (1223), (2022).https://doi.org/10.3390/diagnostics12051223
- Grey-matter sodium concentration as an individual marker of multiple sclerosis severity, Multiple Sclerosis Journal, 28, 12, (1903-1912), (2022).https://doi.org/10.1177/13524585221102587
- Comprehensive Account of Sodium Imaging and Spectroscopy for Brain Research, ACS Chemical Neuroscience, 13, 7, (859-875), (2022).https://doi.org/10.1021/acschemneuro.2c00027
- Quantification of tissue sodium concentration in the ischemic stroke: A comparison between external and internal references for 23Na MRI, Journal of Neuroscience Methods, 382, (109721), (2022).https://doi.org/10.1016/j.jneumeth.2022.109721
- MR‐Nucleomics: The study of pathological cellular processes with multinuclear magnetic resonance spectroscopy and imaging in vivo, NMR in Biomedicine, 36, 2, (2022).https://doi.org/10.1002/nbm.4845
- Clinically feasible B 1 field correction for multi‐organ sodium imaging at 3 T , NMR in Biomedicine, 36, 2, (2022).https://doi.org/10.1002/nbm.4835
- See more
Loading...
View Options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Personal login Institutional LoginPurchase Options
Purchase this article to get full access to it.