Brain microstructural and metabolic alterations detected in vivo at onset of the first demyelinating event.


Journal

Brain : a journal of neurology
ISSN: 1460-2156
Titre abrégé: Brain
Pays: England
ID NLM: 0372537

Informations de publication

Date de publication:
22 06 2021
Historique:
received: 24 06 2020
revised: 03 11 2020
accepted: 03 12 2020
pubmed: 28 4 2021
medline: 24 9 2021
entrez: 27 4 2021
Statut: ppublish

Résumé

In early multiple sclerosis, a clearer understanding of normal-brain tissue microstructural and metabolic abnormalities will provide valuable insights into its pathophysiology. We used multi-parametric quantitative MRI to detect alterations in brain tissues of patients with their first demyelinating episode. We acquired neurite orientation dispersion and density imaging [to investigate morphology of neurites (dendrites and axons)] and 23Na MRI (to estimate total sodium concentration, a reflection of underlying changes in metabolic function). In this cross-sectional study, we enrolled 42 patients diagnosed with clinically isolated syndrome or multiple sclerosis within 3 months of their first demyelinating event and 16 healthy controls. Physical and cognitive scales were assessed. At 3 T, we acquired brain and spinal cord structural scans, and neurite orientation dispersion and density imaging. Thirty-two patients and 13 healthy controls also underwent brain 23Na MRI. We measured neurite density and orientation dispersion indices and total sodium concentration in brain normal-appearing white matter, white matter lesions, and grey matter. We used linear regression models (adjusting for brain parenchymal fraction and lesion load) and Spearman correlation tests (significance level P ≤ 0.01). Patients showed higher orientation dispersion index in normal-appearing white matter, including the corpus callosum, where they also showed lower neurite density index and higher total sodium concentration, compared with healthy controls. In grey matter, compared with healthy controls, patients demonstrated: lower orientation dispersion index in frontal, parietal and temporal cortices; lower neurite density index in parietal, temporal and occipital cortices; and higher total sodium concentration in limbic and frontal cortices. Brain volumes did not differ between patients and controls. In patients, higher orientation dispersion index in corpus callosum was associated with worse performance on timed walk test (P = 0.009, B = 0.01, 99% confidence interval = 0.0001 to 0.02), independent of brain and lesion volumes. Higher total sodium concentration in left frontal middle gyrus was associated with higher disability on Expanded Disability Status Scale (rs = 0.5, P = 0.005). Increased axonal dispersion was found in normal-appearing white matter, particularly corpus callosum, where there was also axonal degeneration and total sodium accumulation. The association between increased axonal dispersion in the corpus callosum and worse walking performance implies that morphological and metabolic alterations in this structure could mechanistically contribute to disability in multiple sclerosis. As brain volumes were neither altered nor related to disability in patients, our findings suggest that these two advanced MRI techniques are more sensitive at detecting clinically relevant pathology in early multiple sclerosis.

Identifiants

pubmed: 33903905
pii: 6246099
doi: 10.1093/brain/awab043
pmc: PMC8219367
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1409-1421

Subventions

Organisme : NIMHD NIH HHS
ID : L60 MD001003
Pays : United States
Organisme : Medical Research Council
ID : MR/S026088/1
Pays : United Kingdom

Informations de copyright

© The Author(s) (2021). Published by Oxford University Press on behalf of the Guarantors of Brain.

Références

Front Neurosci. 2018 Nov 09;12:810
pubmed: 30473659
Brain. 2009 May;132(Pt 5):1161-74
pubmed: 19293237
Lancet Neurol. 2018 Feb;17(2):162-173
pubmed: 29275977
Br Med Bull. 1984 Apr;40(2):165-6
pubmed: 6744003
Brain. 2016 Mar;139(Pt 3):795-806
pubmed: 26792552
Neuroimage. 2016 Oct 1;139:376-384
pubmed: 27377222
Stroke. 2009 Dec;40(12):3816-20
pubmed: 19797696
Lancet Neurol. 2009 Mar;8(3):280-91
pubmed: 19233038
Ann Neurol. 2016 Apr;79(4):520-1
pubmed: 26967708
Brain. 2010 Mar;133(Pt 3):847-57
pubmed: 20110245
Mult Scler. 2007 Jan;13(1):41-51
pubmed: 17294610
J Neurol Neurosurg Psychiatry. 2019 Jul;90(7):755-760
pubmed: 30948625
J Neurol Neurosurg Psychiatry. 1974 Nov;37(11):1259-64
pubmed: 4457618
Mult Scler. 2003 Dec;9(6):554-65
pubmed: 14664467
Neurotherapeutics. 2007 Jul;4(3):316-29
pubmed: 17599699
Brain. 2017 Nov 1;140(11):2912-2926
pubmed: 29053798
Ann Clin Transl Neurol. 2017 Aug 15;4(9):663-679
pubmed: 28904988
Trends Pharmacol Sci. 2004 Nov;25(11):584-91
pubmed: 15491781
Annu Rev Public Health. 2007;28:95-111
pubmed: 17112339
Neurobiol Dis. 2005 Dec;20(3):953-60
pubmed: 16039866
Neurol Neuroimmunol Neuroinflamm. 2018 Sep 26;5(6):e502
pubmed: 30345330
Neuroradiology. 2008 Feb;50(2):123-9
pubmed: 17982745
Neuroradiology. 2008 Jul;50(7):549-57
pubmed: 18458896
Mult Scler. 2018 Apr;24(5):623-631
pubmed: 28394195
Neurology. 2017 Jan 17;88(3):289-295
pubmed: 27974643
Neuroimage. 2017 Aug 15;157:561-574
pubmed: 28602815
AJNR Am J Neuroradiol. 2007 Sep;28(8):1517-22
pubmed: 17846203
N Engl J Med. 1998 Jan 29;338(5):278-85
pubmed: 9445407
J Neurol. 2008 Aug;255(8):1209-14
pubmed: 18537052
J Neurol Sci. 2014 Mar 15;338(1-2):128-34
pubmed: 24423584
Ann Neurol. 2004 Apr;55(4):458-68
pubmed: 15048884
Mult Scler. 2011 Dec;17(12):1432-40
pubmed: 21729978
PLoS One. 2016 Dec 21;11(12):e0167884
pubmed: 28002426
Funct Neurol. 2017 Apr/Jun;32(2):97-101
pubmed: 28676143
Brain. 2004 Jun;127(Pt 6):1361-9
pubmed: 15128615
J Int Neuropsychol Soc. 2010 Jan;16(1):6-16
pubmed: 19796441
AJNR Am J Neuroradiol. 2019 Oct;40(10):1642-1648
pubmed: 31515218
Neurology. 1983 Nov;33(11):1444-52
pubmed: 6685237
Mult Scler. 1999 Aug;5(4):244-50
pubmed: 10467383
Brain. 2013 Jul;136(Pt 7):2305-17
pubmed: 23801742
Clin Imaging. 2015 Mar-Apr;39(2):207-12
pubmed: 25487438
Mitochondrion. 2012 Mar;12(2):173-9
pubmed: 21406249
NMR Biomed. 2019 Apr;32(4):e3888
pubmed: 29350435
Mult Scler. 2020 Oct;26(11):1392-1401
pubmed: 31339446
Mult Scler. 2020 Nov;26(13):1647-1657
pubmed: 31682198
Handb Clin Neurol. 2014;122:291-316
pubmed: 24507523
Radiology. 2010 Jan;254(1):227-34
pubmed: 20019140
Front Neurosci. 2012 Dec 05;6:171
pubmed: 23227001
Brain. 2005 Nov;128(Pt 11):2705-12
pubmed: 16230320
Lancet Neurol. 2014 Aug;13(8):807-22
pubmed: 25008549
Mult Scler. 2016 Jul;22(8):1040-7
pubmed: 26453681
Proc Natl Acad Sci U S A. 2004 May 25;101(21):8168-73
pubmed: 15148385
Mult Scler. 2012 Jun;18(6):891-8
pubmed: 22190573
Brain. 2016 Mar;139(Pt 3):816-28
pubmed: 26912640
Hum Brain Mapp. 2015 Sep;36(9):3687-702
pubmed: 26096639
Neuroscience. 2019 Apr 1;403:17-26
pubmed: 29631021
Neuroimage. 2018 Nov 15;182:488-499
pubmed: 29448073
Neuroimage. 2012 Jul 16;61(4):1000-16
pubmed: 22484410
J Clin Neurosci. 2018 Jul;53:27-33
pubmed: 29754967
Handb Clin Neurol. 2014;122:15-58
pubmed: 24507512
Brain. 2003 Feb;126(Pt 2):433-7
pubmed: 12538409
Radiology. 2012 Sep;264(3):859-67
pubmed: 22807483
J Neurol. 2008 Jan;255(1):56-63
pubmed: 18080854
Front Neurosci. 2019 Feb 19;13:81
pubmed: 30837826
Neuroimage. 2016 Jan 15;125:1063-1078
pubmed: 26481672
IEEE Trans Med Imaging. 2015 Sep;34(9):1976-88
pubmed: 25879909
Nat Clin Pract Neurol. 2008 Mar;4(3):159-69
pubmed: 18227822
Brain. 2016 Mar;139(Pt 3):807-15
pubmed: 26912645
Ther Adv Neurol Disord. 2019 Jun 27;12:1756286419859722
pubmed: 31275430
Hum Brain Mapp. 2016 Dec;37(12):4550-4565
pubmed: 27477113
Front Neurol. 2019 Nov 05;10:1165
pubmed: 31749760
Arch Neurol. 2005 May;62(5):803-8
pubmed: 15883269
NMR Biomed. 2013 Jan;26(1):9-19
pubmed: 22714793

Auteurs

Sara Collorone (S)

NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.

Ferran Prados (F)

NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.
Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London, UK.
Universitat Oberta de Catalunya, Barcelona, Spain.

Baris Kanber (B)

Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London, UK.

Niamh M Cawley (NM)

NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.

Carmen Tur (C)

NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.

Francesco Grussu (F)

NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.
Centre for Medical Image Computing (CMIC), Department of Computer Sciences, University College London, London, UK.

Bhavana S Solanky (BS)

NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.

Marios Yiannakas (M)

NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.

Indran Davagnanam (I)

Department of Brain Repair and Rehabilitation, University College London Institute of Neurology, Faculty of Brain Sciences, UCL, London, UK.

Claudia A M Gandini Wheeler-Kingshott (CAMG)

NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.
Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
Brain MRI 3T Research Centre, IRCCS Mondino Foundation, Pavia, Italy.

Frederik Barkhof (F)

Centre for Medical Image Computing (CMIC), Department of Medical Physics and Biomedical Engineering, University College London, London, UK.
Department of Brain Repair and Rehabilitation, University College London Institute of Neurology, Faculty of Brain Sciences, UCL, London, UK.
Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, Vrije Universiteit, The Netherlands.
National Institute for Health Research, University College London Hospitals, Biomedical Research Centre, London, UK.

Olga Ciccarelli (O)

NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.
National Institute for Health Research, University College London Hospitals, Biomedical Research Centre, London, UK.

Ahmed T Toosy (AT)

NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.

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