Remodeling of cortical structural networks in multiple sclerosis
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CIOLAC, Dumitru. Remodeling of cortical structural networks in multiple sclerosis. In: IFMBE Proceedings: . 4th International Conference on Nanotechnologies and Biomedical Engineering, Ed. 4, 18-21 septembrie 2019, Chişinău. Switzerland: Springer Nature Switzerland AG, 2020, Ediția 4, Vol.77, pp. 491-495. ISBN 978-303031865-9. ISSN 16800737. DOI: https://doi.org/10.1007/978-3-030-31866-6_88
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IFMBE Proceedings
Ediția 4, Vol.77, 2020
Conferința "Conference on Nanotechnologies and Biomedical Engineering"
4, Chişinău, Moldova, 18-21 septembrie 2019

Remodeling of cortical structural networks in multiple sclerosis

DOI:https://doi.org/10.1007/978-3-030-31866-6_88

Pag. 491-495

Ciolac Dumitru123
 
1 ”Nicolae Testemițanu” State University of Medicine and Pharmacy,
2 Emergency Institute of Medicine,
3 Johannes Gutenberg University Mainz
 
Proiecte:
 
Disponibil în IBN: 31 octombrie 2020


Rezumat

Multiple sclerosis (MS) is one of the most frequent immune-mediated disorders of the central nervous system. Pathological events occurring within the white matter and gray matter compartments can be reliably tracked in vivo by magnetic resonance imaging (MRI) but conventional imaging parameters do not reflect the remodeling processes of the brain. Here, we sought to investigate the reorganization of cortical structural networks in a group of patients with MS. For this, 40 patients (mean age ± standard deviation 31.2 ± 7.0 years, 14 males) with relapsing-remitting MS and 40 healthy subjects (27.1 ± 5.0 years, 14 males) were included in the study. From T1-weighted MR image-derived cortical thickness values, connectivity matrices were generated and network measures of integration and segregation compared between the groups. MS patients presented higher modularity, clustering coefficient and local efficiency but lower global efficiency when compared to healthy subjects. These results indicate that remodeling of cortical structural networks in patients with MS occurs towards the strengthening of intramodular connectivity and local processing. Presumably, this reorganized network architecture topology is an adaptation response required to maintain brain networks’ functionality in conditions of ongoing tissue damage.

Cuvinte-cheie
Graph theory, gray matter, multiple sclerosis, Network architecture