Literature DB >> 25257603

Impaired functional integration in multiple sclerosis: a graph theory study.

Maria A Rocca1,2, Paola Valsasina1, Alessandro Meani1, Andrea Falini3,4, Giancarlo Comi2, Massimo Filippi5,6.   

Abstract

Aim of this study was to explore the topological organization of functional brain network connectivity in a large cohort of multiple sclerosis (MS) patients and to assess whether its disruption contributes to disease clinical manifestations. Graph theoretical analysis was applied to resting state fMRI data from 246 MS patients and 55 matched healthy controls (HC). Functional connectivity between 116 cortical and subcortical brain regions was estimated using a bivariate correlation analysis. Global network properties (network degree, global efficiency, hierarchy, path length and assortativity) were abnormal in MS patients vs HC, and contributed to distinguish cognitively impaired MS patients (34%) from HC, but not the main MS clinical phenotypes. Compared to HC, MS patients also showed: (1) a loss of hubs in the superior frontal gyrus, precuneus and anterior cingulum in the left hemisphere; (2) a different lateralization of basal ganglia hubs (mostly located in the left hemisphere in HC, and in the right hemisphere in MS patients); and (3) a formation of hubs, not seen in HC, in the left temporal pole and cerebellum. MS patients also experienced a decreased nodal degree in the bilateral caudate nucleus and right cerebellum. Such a modification of regional network properties contributed to cognitive impairment and phenotypic variability of MS. An impairment of global integration (likely to reflect a reduced competence in information exchange between distant brain areas) occurs in MS and is associated with cognitive deficits. A regional redistribution of network properties contributes to cognitive status and phenotypic variability of these patients.

Entities:  

Keywords:  Cognitive impairment; Graph analysis; Multiple sclerosis; Phenotype; Resting state fMRI

Mesh:

Year:  2014        PMID: 25257603     DOI: 10.1007/s00429-014-0896-4

Source DB:  PubMed          Journal:  Brain Struct Funct        ISSN: 1863-2653            Impact factor:   3.270


  43 in total

1.  Understanding white matter structural connectivity differences between cognitively impaired and nonimpaired active professional fighters.

Authors:  Virendra R Mishra; Karthik R Sreenivasan; Xiaowei Zhuang; Zhengshi Yang; Dietmar Cordes; Sarah J Banks; Charles Bernick
Journal:  Hum Brain Mapp       Date:  2019-08-12       Impact factor: 5.038

2.  Altered whole-brain connectivity in albinism.

Authors:  Thomas Welton; Sarim Ather; Frank A Proudlock; Irene Gottlob; Robert A Dineen
Journal:  Hum Brain Mapp       Date:  2016-09-29       Impact factor: 5.038

3.  Using Large-Scale Granger Causality to Study Changes in Brain Network Properties in the Clinically Isolated Syndrome (CIS) Stage of Multiple Sclerosis.

Authors:  Anas Z Abidin; Udaysankar Chockanathan; Adora M DSouza; Matilde Inglese; Axel Wismüller
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2017-03

4.  Structural connectivity-defined thalamic subregions have different functional connectivity abnormalities in multiple sclerosis patients: Implications for clinical correlations.

Authors:  Alessandro d'Ambrosio; Milagros Hidalgo de la Cruz; Paola Valsasina; Elisabetta Pagani; Bruno Colombo; Mariaemma Rodegher; Giancarlo Comi; Massimo Filippi; Maria A Rocca
Journal:  Hum Brain Mapp       Date:  2017-09-07       Impact factor: 5.038

5.  Education, and the balance between dynamic and stationary functional connectivity jointly support executive functions in relapsing-remitting multiple sclerosis.

Authors:  Sue-Jin Lin; Irene Vavasour; Brenda Kosaka; David K B Li; Anthony Traboulsee; Alex MacKay; Martin J McKeown
Journal:  Hum Brain Mapp       Date:  2018-09-21       Impact factor: 5.038

Review 6.  Mind the gap: from neurons to networks to outcomes in multiple sclerosis.

Authors:  Declan T Chard; Adnan A S Alahmadi; Bertrand Audoin; Thalis Charalambous; Christian Enzinger; Hanneke E Hulst; Maria A Rocca; Àlex Rovira; Jaume Sastre-Garriga; Menno M Schoonheim; Betty Tijms; Carmen Tur; Claudia A M Gandini Wheeler-Kingshott; Alle Meije Wink; Olga Ciccarelli; Frederik Barkhof
Journal:  Nat Rev Neurol       Date:  2021-01-12       Impact factor: 42.937

7.  Network Damage Predicts Clinical Worsening in Multiple Sclerosis: A 6.4-Year Study.

Authors:  Maria A Rocca; Paola Valsasina; Alessandro Meani; Elisabetta Pagani; Claudio Cordani; Chiara Cervellin; Massimo Filippi
Journal:  Neurol Neuroimmunol Neuroinflamm       Date:  2021-05-21

Review 8.  Network collapse and cognitive impairment in multiple sclerosis.

Authors:  Menno M Schoonheim; Kim A Meijer; Jeroen J G Geurts
Journal:  Front Neurol       Date:  2015-04-14       Impact factor: 4.003

Review 9.  The neurocognitive profile of the cerebellum in multiple sclerosis.

Authors:  Alessia Sarica; Antonio Cerasa; Aldo Quattrone
Journal:  Int J Mol Sci       Date:  2015-05-28       Impact factor: 5.923

Review 10.  Resting-State fMRI in MS: General Concepts and Brief Overview of Its Application.

Authors:  Emilia Sbardella; Nikolaos Petsas; Francesca Tona; Patrizia Pantano
Journal:  Biomed Res Int       Date:  2015-08-27       Impact factor: 3.411

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