Mesoscopic model of neuronal system deficits in Multiple Sclerosis

被引:1
作者
Safarbali, Bahareh [1 ]
Hadaeghi, Fatemeh [1 ]
Gharibzadeh, Shahriar [2 ]
机构
[1] Amirkabir Univ Technol, Biomed Engn Fac, Complex Syst & Cybernet Control Lab, Tehran, Iran
[2] Amirkabir Univ Technol, Biomed Engn Fac, Neural & Cognit Sci Lab, Tehran, Iran
关键词
Mesoscopic Neuronal Network; Multiple Sclerosis; Nonlinear dynamics; Synchronization; Symptom; ASSOCIATION; NETWORKS; MRI;
D O I
10.1016/j.jtbi.2016.07.013
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Multiple Sclerosis (MS) is a devastating autoimmune disease which deteriorates the connections in central nervous system (CNS) through the attacks to oligodendrocytes. Studying its origin and progression, in addition to clinical developments such as MRI brain images, cerebrospinal fluid (CSF) variation and quantitative measures of disability (EDSS), which sought to early diagnosis and efficient therapy, there is an increasing interest in developing computational models using the experimental data obtained from MS patients. From the perspective of mathematical modelling, although the origin of systemic symptoms might be attributed to cellular phenomena in microscopic level such as axonal demyelination, symptoms mainly are observed in macroscopic levels. How to fill the gap between these two levels of system modelling, however, remains as a challenge in systems biology studies. Trying to provide a conceptual framework to bridge between these two levels of modelling in systems biology, we have suggested a mesoscopic model composed of interacting neuronal population, which successfully replicates the changes in neuronal population synchrony due to MS progression. (C) 2016 Published by Elsevier Ltd.
引用
收藏
页码:6 / 15
页数:10
相关论文
共 35 条
[1]   A resilient, low-frequency, small-world human brain functional network with highly connected association cortical hubs [J].
Achard, S ;
Salvador, R ;
Whitcher, B ;
Suckling, J ;
Bullmore, ET .
JOURNAL OF NEUROSCIENCE, 2006, 26 (01) :63-72
[2]  
Arrondo G., 2009, MULT SCLER
[3]   MRI in multiple sclerosis: correlation with expanded disability status scale (EDSS) [J].
Barkhof, F .
MULTIPLE SCLEROSIS JOURNAL, 1999, 5 (04) :283-286
[4]   Nav1.5 sodium channels in macrophages in multiple sclerosis lesions [J].
Black, Joel A. ;
Newcombe, Jia ;
Waxman, Stephen G. .
MULTIPLE SCLEROSIS JOURNAL, 2013, 19 (05) :532-542
[5]   Complex brain networks: graph theoretical analysis of structural and functional systems [J].
Bullmore, Edward T. ;
Sporns, Olaf .
NATURE REVIEWS NEUROSCIENCE, 2009, 10 (03) :186-198
[6]   Explaining pathological changes in axonal excitability through dynamical analysis of conductance-based models [J].
Coggan, Jay S. ;
Ocker, Gabriel K. ;
Sejnowski, Terrence J. ;
Prescott, Steven A. .
JOURNAL OF NEURAL ENGINEERING, 2011, 8 (06)
[7]   Imbalance of ionic conductances contributes to diverse symptoms of demyelination [J].
Coggan, Jay S. ;
Prescott, Steven A. ;
Bartol, Thomas M. ;
Sejnowski, Terrence J. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2010, 107 (48) :20602-20609
[8]   Disability outcome measures in multiple sclerosis clinical trials: current status and future prospects [J].
Cohen, Jeffrey A. ;
Reingold, Stephen C. ;
Polman, Chris H. ;
Wolinsky, Jerry S. .
LANCET NEUROLOGY, 2012, 11 (05) :467-476
[9]   Psychophysiological and electrophysiological testing of olfactory and gustatory function in patients with multiple sclerosis [J].
Dahlslett, Sarah Bettina ;
Goektas, Oender ;
Schmidt, Felix ;
Harms, Lutz ;
Olze, Heidi ;
Fleiner, Franca .
EUROPEAN ARCHIVES OF OTO-RHINO-LARYNGOLOGY, 2012, 269 (04) :1163-1169
[10]   Association between pathological and MRI findings in multiple sclerosis [J].
Filippi, Massimo ;
Rocca, Maria A. ;
Barkhof, Frederik ;
Brueck, Wolfgang ;
Chen, Jacqueline T. ;
Comi, Giancarlo ;
DeLuca, Gabriele ;
De Stefano, Nicola ;
Erickson, Bradley J. ;
Evangelou, Nikos ;
Fazekas, Franz ;
Geurts, Jeroen J. G. ;
Lucchinetti, Claudia ;
Miller, David H. ;
Pelletier, Daniel ;
Popescu, Bogdan F. Gh ;
Lassmann, Hans .
LANCET NEUROLOGY, 2012, 11 (04) :349-360