Decrement of brain functional integration in multiple sclerosis is relevant to disability: a graph theory study
Author(s): ,
S. Tommasin
Affiliations:
La Sapienza, University of Rome | Human Neuroscience | Human Neuroscience
,
L. De Giglio
Affiliations:
La Sapienza, University of Rome | Human Neuroscience | Human Neuroscience; Sant`Andrea Hospital, MS Centre
,
S. Ruggieri
Affiliations:
La Sapienza, University of Rome | Human Neuroscience, Sapienza, University of Rome, Rome
,
P. Nikolaos
Affiliations:
IRCCS Neuromed, Pozzilli (IS), Italy
,
C. Giannì
Affiliations:
La Sapienza, University of Rome | Human Neuroscience, Sapienza, University of Rome, Rome
,
C. Pozzilli
Affiliations:
Sant`Andrea Hospital, MS Centre; La Sapienza, University of Rome | Human Neuroscience, Sapienza, University of Rome, Rome
P. Pantano
Affiliations:
La Sapienza, University of Rome | Human Neuroscience, Sapienza, University of Rome, Rome; IRCCS Neuromed, Pozzilli (IS), Italy
ECTRIMS Online Library. Tommasin S. Oct 12, 2018; 228985; P1145
Silvia Tommasin
Silvia Tommasin
Contributions
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Abstract

Abstract: P1145

Type: Poster Sessions

Abstract Category: Pathology and pathogenesis of MS - MRI and PET

Introduction: Several studies demonstrated functional brain reorganization in multiple sclerosis (MS). Functional MRI (fMRI) showed an alteration of resting state networks (RSNs). Graph theory has been used to investigate large-scale connectivity. To date, few studies have explored the global properties of RSNs.
Objective: To explore large-scale integration between RSNs and its association to clinical measures.
Methods: We enrolled 119 patients with clinically defined MS (mean age: 38.9+/-10.1 years, 25 males) and 38 healthy subjects (HS, mean age 32.3+/-6.5 years, 12 males). Patients were evaluated by Expanded Disability Status Scale (EDSS), including its functional systems and Ambulation Index (AI). Resting-state fMRI were acquired with a Siemens Verio 3T scanner.
Twelve RSNs were identified by using FSL Melodic. We studied several topological properties, i.e. nodal global efficiency (GE), degree centrality (DC), nodal efficiency and betweeness centrality, of these RSNs through graph theory analysis.
Results: MS patients presented various levels of disability (median EDSS 2, range 0-7.5). DC and GE in basal ganglia (BGN), left and right frontoparietal and posterior salience networks, as well as GE in executive control network, were significantly lower in patients than in HS (p< 0.05, Bonferroni corrected). Both GE and DC in BGN negatively correlated with the AI (p< 0.05, Bonferroni corrected).
Discussion: These results evidence a reduced functional integration between RSNs in MS patients. Moreover, the reduced efficiency in BGN, which included all deep grey matter nuclei, could play a role in ambulation impairment.
Disclosure: Silvia Tommasin: nothing to disclose
Laura De Giglio: received speaking onoraria from Genzyme and Novartis, travel grant
from Biogen, Merk, Teva, consulting fee from Genzyme, Merk and Novartis.
Costanza Giannì: received founding for travel and speaker honoraria from Bracco.
Serena Ruggieri: received fee as speaking honoraria from Teva,Merck Serono, Biogen; travel grant from Biogen, Merck Serono; fee as advisory board consultant from Merck Serono and Novartis.
Nikolaos Petsas: received speaker fees from Biogen Idec and mission support from Novartis.
Carlo Pozzilli: received consulting and lecture fees and research funding and travel grants from Almirall, Bayer, Biogen, Genzyme, Merck Serono, Novartis, Roche and Teva.
Patrizia Pantano: has received founding for travel from Novartis, Genzyme and Bracco and speaker honoraria from Biogen.

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