Literature DB >> 24120645

Assessment of system dysfunction in the brain through MRI-based connectomics.

Massimo Filippi1, Martijn P van den Heuvel, Alexander Fornito, Yong He, Hilleke E Hulshoff Pol, Federica Agosta, Giancarlo Comi, Maria A Rocca.   

Abstract

Network-based analysis of structural and functional connections has provided a new technique to study the brains of healthy people and patients with neurological and psychiatric disorders. Graph theory provides a powerful method to quantitatively describe the topological organisation of brain connectivity. With such a framework, the brain can be depicted as a set of nodes connected by edges. Distinct modifications of network topological organisation in the brain have been identified during development and normal ageing, whereas disrupted functional and structural connectivities have been associated with several neurological and psychiatric disorders, including dementia, amyotrophic lateral sclerosis, multiple sclerosis, and schizophrenia. These assessments have improved understanding of the clinical manifestations noted in these patients, including disability and cognitive impairment. Future network-based research might enable indentification of different stages of disorders, subtypes for cognitive impairment, and connectivity profiles associated with different clinical outcomes.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 24120645     DOI: 10.1016/S1474-4422(13)70144-3

Source DB:  PubMed          Journal:  Lancet Neurol        ISSN: 1474-4422            Impact factor:   44.182


  66 in total

1.  GRETNA: a graph theoretical network analysis toolbox for imaging connectomics.

Authors:  Jinhui Wang; Xindi Wang; Mingrui Xia; Xuhong Liao; Alan Evans; Yong He
Journal:  Front Hum Neurosci       Date:  2015-06-30       Impact factor: 3.169

2.  Psychoradiological patterns of small-world properties and a systematic review of connectome studies of patients with 6 major psychiatric disorders.

Authors:  Xueling Suo; Du Lei; Lei Li; Wenbin Li; Jing Dai; Song Wang; Manxi He; Hongyan Zhu; Graham J Kemp; Qiyong Gong
Journal:  J Psychiatry Neurosci       Date:  2018-06-28       Impact factor: 6.186

Review 3.  Brain networks in schizophrenia.

Authors:  Martijn P van den Heuvel; Alex Fornito
Journal:  Neuropsychol Rev       Date:  2014-02-06       Impact factor: 7.444

4.  Age-Related Changes in Topological Degradation of White Matter Networks and Gene Expression in Chronic Schizophrenia.

Authors:  Fon Powell; Eve LoCastro; Diana Acosta; Mohamed Ahmed; Stefani O'Donoghue; Natalie Forde; Dara Cannon; Cathy Scanlon; Tushar Rao; Colm McDonald; Ashish Raj
Journal:  Brain Connect       Date:  2017-11

Review 5.  From Maps to Multi-dimensional Network Mechanisms of Mental Disorders.

Authors:  Urs Braun; Axel Schaefer; Richard F Betzel; Heike Tost; Andreas Meyer-Lindenberg; Danielle S Bassett
Journal:  Neuron       Date:  2018-01-03       Impact factor: 17.173

6.  A multi-shell multi-tissue diffusion study of brain connectivity in early multiple sclerosis.

Authors:  Carmen Tur; Francesco Grussu; Ferran Prados; Thalis Charalambous; Sara Collorone; Baris Kanber; Niamh Cawley; Daniel R Altmann; Sébastien Ourselin; Frederik Barkhof; Jonathan D Clayden; Ahmed T Toosy; Claudia Am Gandini Wheeler-Kingshott; Olga Ciccarelli
Journal:  Mult Scler       Date:  2019-05-10       Impact factor: 6.312

7.  Comparison of diffusion tractography and tract-tracing measures of connectivity strength in rhesus macaque connectome.

Authors:  Martijn P van den Heuvel; Marcel A de Reus; Lisa Feldman Barrett; Lianne H Scholtens; Fraukje M T Coopmans; Ruben Schmidt; Todd M Preuss; James K Rilling; Longchuan Li
Journal:  Hum Brain Mapp       Date:  2015-06-09       Impact factor: 5.038

8.  Default mode network integrity changes contribute to cognitive deficits in subcortical vascular cognitive impairment, no dementia.

Authors:  Qi Qin; Yi Tang; Xuejiao Dou; Yida Qu; Yi Xing; Jianwei Yang; Tianshu Chu; Yong Liu; Jianping Jia
Journal:  Brain Imaging Behav       Date:  2021-02       Impact factor: 3.978

9.  Characterizing structural neural networks in de novo Parkinson disease patients using diffusion tensor imaging.

Authors:  S Nigro; R Riccelli; L Passamonti; G Arabia; M Morelli; R Nisticò; F Novellino; M Salsone; G Barbagallo; A Quattrone
Journal:  Hum Brain Mapp       Date:  2016-07-28       Impact factor: 5.038

10.  Characterizing the connectome in schizophrenia with diffusion spectrum imaging.

Authors:  Alessandra Griffa; Philipp Sebastian Baumann; Carina Ferrari; Kim Quang Do; Philippe Conus; Jean-Philippe Thiran; Patric Hagmann
Journal:  Hum Brain Mapp       Date:  2014-09-12       Impact factor: 5.038

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