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Mult Scler. 2019 Jul 24:1352458519865739. doi: 10.1177/1352458519865739. [Epub ahead of print]

Single-subject structural cortical networks in clinically isolated syndrome.

Author information

1
NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.
2
NMR Research Unit, Queen Square Multiple Sclerosis 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), UCL Medical Physics and Biomedical Engineering, University College London, London, UK/Universitat Oberta de Catalunya, Barcelona, Spain.
3
MS Center Amsterdam, Department of Neurology, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
4
Centre for Medical Image Computing (CMIC), UCL Medical Physics and Biomedical Engineering, University College London, London, UK.
5
UCL Medical Physics and Biomedical Engineering, University College London, London, UK.
6
Department of Diagnostic and Interventional Radiology and Nuclear Medicine, St. Josef Hospital, Ruhr-University Bochum, Bochum, Germany.
7
Department of Neurosciences, San Camillo-Forlanini Hospital, Rome, Italy.
8
Department of Neurology, Hospital Clinico San Carlos, Instituto de Investigacion Sanitaria del Hospital Clínico San Carlos (IdISSC), Madrid, Spain.
9
Neurologic Clinic and Policlinic, University Hospital Basel, University of Basel, Basel, Switzerland/Charles University and General University Hospital, Prague, Czech Republic.
10
NMR Research Unit, Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK/NIHR University College London Hospitals Biomedical Research Centre, London, UK.
11
MS Center Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands; Department of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Hannover, Germany.
12
UCL Medical Physics and Biomedical Engineering, University College London, London, UK/School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK.
13
London School of Hygiene & Tropical Medicine, London, UK.
14
Alzheimer Center Amsterdam, Department of Neurology, Amsterdam University Medical Centers, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
15
Centre for Medical Image Computing (CMIC), UCL Medical Physics and Biomedical Engineering, University College London, London, UK/NIHR University College London Hospitals Biomedical Research Centre, London, UK/Alzheimer Center Amsterdam, Department of Neurology, Amsterdam University Medical Centers, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands/UCL Institute of Healthcare Engineering and UCL Queen Square Institute of Neurology, University College London, London, UK.

Abstract

BACKGROUND:

Structural cortical networks (SCNs) represent patterns of coordinated morphological modifications in cortical areas, and they present the advantage of being extracted from previously acquired clinical magnetic resonance imaging (MRI) scans. SCNs have shown pathophysiological changes in many brain disorders, including multiple sclerosis.

OBJECTIVE:

To investigate alterations of SCNs at the individual level in patients with clinically isolated syndrome (CIS), thereby assessing their clinical relevance.

METHODS:

We analyzed baseline data collected in a prospective multicenter (MAGNIMS) study. CIS patients (n = 60) and healthy controls (n = 38) underwent high-resolution 3T MRI. Measures of disability and cognitive processing were obtained for patients. Single-subject SCNs were extracted from brain 3D-T1 weighted sequences; global and local network parameters were computed.

RESULTS:

Compared to healthy controls, CIS patients showed altered small-world topology, an efficient network organization combining dense local clustering with relatively few long-distance connections. These disruptions were worse for patients with higher lesion load and worse cognitive processing speed. Alterations of centrality measures and clustering of connections were observed in specific cortical areas in CIS patients when compared with healthy controls.

CONCLUSION:

Our study indicates that SCNs can be used to demonstrate clinically relevant alterations of connectivity in CIS.

KEYWORDS:

Magnetic resonance imaging; clinically isolated syndrome; graph theory; gray matter; multicenter study; multiple sclerosis; structural cortical networks

PMID:
31339446
DOI:
10.1177/1352458519865739
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