Literature DB >> 28917696

Brain mapping in multiple sclerosis: Lessons learned about the human brain.

Massimo Filippi1, Paolo Preziosa2, Maria A Rocca2.   

Abstract

The application of structural and functional magnetic resonance imaging (MRI) techniques in patients with multiple sclerosis (MS) has certainly helped to improve our understanding of the mechanisms responsible for clinical disability and cognitive impairment in this condition. The numerous studies performed in MS patients have also provided many lessons on the structure-function relationships in the human brain, which could be applied to healthy subjects and to patients affected by other neurological conditions. The findings have allowed a better understanding of the processes involved in the loss of function after central nervous system (CNS) damage, and clarified the substrates of specific symptoms (e.g., cognitive impairment and fatigue), which should aid clinical recovery and help in the monitoring of disease progression. In this review, important examples of how the application of different MRI techniques in MS might provide relevant information on the human brain are discussed. These include how damage to strategic white matter tracts can cause symptoms due to a disconnection mechanism and how involvement of a specific brain network, independent of the underlying pathological substrate, might determine certain symptoms. The role of functional and structural plasticity in clinical recovery (following an acute relapse or promoted by rehabilitation) and the mechanisms that might become the target of treatment aimed at function recovery are also considered. The ways in which network- and system-based analysis can reshape current understanding of the brain structure-function relationships are discussed. Finally, there is speculation about the relevance of inherited or acquired factors, such as age, comorbidity, brain reserve and cognitive reserve, which are likely to influence the relation between CNS damage and disease clinical manifestations.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Brain networks; Diffusion tensor MRI; Disconnection syndrome; Functional MRI; Multiple sclerosis; Neuroplasticity; Symptoms

Mesh:

Year:  2017        PMID: 28917696     DOI: 10.1016/j.neuroimage.2017.09.021

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  13 in total

1.  Effects of motor rehabilitation on mobility and brain plasticity in multiple sclerosis: a structural and functional MRI study.

Authors:  Eleonora Tavazzi; Niels Bergsland; Davide Cattaneo; Elisa Gervasoni; Maria Marcella Laganà; Ottavia Dipasquale; Cristina Grosso; Francesca Lea Saibene; Francesca Baglio; Marco Rovaris
Journal:  J Neurol       Date:  2018-04-07       Impact factor: 4.849

Review 2.  Quantitative mapping of the brain's structural connectivity using diffusion MRI tractography: A review.

Authors:  Fan Zhang; Alessandro Daducci; Yong He; Simona Schiavi; Caio Seguin; Robert E Smith; Chun-Hung Yeh; Tengda Zhao; Lauren J O'Donnell
Journal:  Neuroimage       Date:  2022-01-01       Impact factor: 7.400

3.  Reproducibility of structural brain connectivity and network metrics using probabilistic diffusion tractography.

Authors:  Shang-Yueh Tsai
Journal:  Sci Rep       Date:  2018-08-01       Impact factor: 4.379

4.  Symptoms of fatigue and depression is reflected in altered default mode network connectivity in multiple sclerosis.

Authors:  Einar August Høgestøl; Gro Owren Nygaard; Dag Alnæs; Mona K Beyer; Lars T Westlye; Hanne Flinstad Harbo
Journal:  PLoS One       Date:  2019-04-01       Impact factor: 3.240

5.  Changes in cortical motor outputs after a motor relapse of multiple sclerosis.

Authors:  Raffaella Chieffo; Laura Straffi; Alberto Inuggi; Elisabetta Coppi; Lucia Moiola; Vittorio Martinelli; Giancarlo Comi; Letizia Leocani
Journal:  Mult Scler J Exp Transl Clin       Date:  2019-09-25

6.  Analysis of the Influence of Different Settings of Scan Sequence Parameters on Vibration and Noise Generated in the Open-Air MRI Scanning Area.

Authors:  Jiří Přibil; Anna Přibilová; Ivan Frollo
Journal:  Sensors (Basel)       Date:  2019-09-27       Impact factor: 3.576

7.  Progressive brain rich-club network disruption from clinically isolated syndrome towards multiple sclerosis.

Authors:  Ni Shu; Yunyun Duan; Jing Huang; Zhuoqiong Ren; Zheng Liu; Huiqing Dong; Frederik Barkhof; Kuncheng Li; Yaou Liu
Journal:  Neuroimage Clin       Date:  2018-03-28       Impact factor: 4.881

Review 8.  Pathophysiological and cognitive mechanisms of fatigue in multiple sclerosis.

Authors:  Zina-Mary Manjaly; Neil A Harrison; Hugo D Critchley; Cao Tri Do; Gabor Stefanics; Nicole Wenderoth; Andreas Lutterotti; Alfred Müller; Klaas Enno Stephan
Journal:  J Neurol Neurosurg Psychiatry       Date:  2019-01-25       Impact factor: 10.154

Review 9.  Cognitive Impairment and Brain Reorganization in MS: Underlying Mechanisms and the Role of Neurorehabilitation.

Authors:  Grigorios Nasios; Christos Bakirtzis; Lambros Messinis
Journal:  Front Neurol       Date:  2020-03-06       Impact factor: 4.003

10.  RimNet: A deep 3D multimodal MRI architecture for paramagnetic rim lesion assessment in multiple sclerosis.

Authors:  Germán Barquero; Francesco La Rosa; Hamza Kebiri; Po-Jui Lu; Reza Rahmanzadeh; Matthias Weigel; Mário João Fartaria; Tobias Kober; Marie Théaudin; Renaud Du Pasquier; Pascal Sati; Daniel S Reich; Martina Absinta; Cristina Granziera; Pietro Maggi; Meritxell Bach Cuadra
Journal:  Neuroimage Clin       Date:  2020-09-04       Impact factor: 4.881

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