Literature DB >> 23158686

Structure out of chaos: functional brain network analysis with EEG, MEG, and functional MRI.

Elisabeth C W van Straaten1, Cornelis J Stam.   

Abstract

The brain is the characteristic of a complex structure. By representing brain function, measured with EEG, MEG, and fMRI, as an abstract network, methods for the study of complex systems can be applied. These network studies have revealed insights in the complex, yet organized, architecture that is evidently present in brain function. We will discuss some technical aspects of formation and assessment of the functional brain networks. Moreover, the results that have been reported in this respect in the last years, in healthy brains as well as in functional brain networks of subjects with a neurological or psychiatrical disease, will be reviewed.
Copyright © 2012 Elsevier B.V. and ECNP. All rights reserved.

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Year:  2012        PMID: 23158686     DOI: 10.1016/j.euroneuro.2012.10.010

Source DB:  PubMed          Journal:  Eur Neuropsychopharmacol        ISSN: 0924-977X            Impact factor:   4.600


  28 in total

1.  Childhood maltreatment: altered network centrality of cingulate, precuneus, temporal pole and insula.

Authors:  Martin H Teicher; Carl M Anderson; Kyoko Ohashi; Ann Polcari
Journal:  Biol Psychiatry       Date:  2013-10-02       Impact factor: 13.382

2.  Stable functional networks exhibit consistent timing in the human brain.

Authors:  Julio I Chapeton; Sara K Inati; Kareem A Zaghloul
Journal:  Brain       Date:  2017-03-01       Impact factor: 13.501

3.  Dynamic complexity measures and entropy paths for modelling and comparison of evolution of patients with drug resistant epileptic encephalopathy syndromes (DREES).

Authors:  Ricardo Zavala-Yoe; Ricardo A Ramirez-Mendoza
Journal:  Metab Brain Dis       Date:  2017-06-09       Impact factor: 3.584

4.  Classifying oscillatory brain activity associated with Indian Rasas using network metrics.

Authors:  Pankaj Pandey; Richa Tripathi; Krishna Prasad Miyapuram
Journal:  Brain Inform       Date:  2022-07-15

5.  Spatiotemporal evolution of epileptic seizure based on mutual information and dynamic brain network.

Authors:  Mengnan Ma; Xiaoyan Wei; Yinlin Cheng; Ziyi Chen; Yi Zhou
Journal:  BMC Med Inform Decis Mak       Date:  2021-07-30       Impact factor: 2.796

6.  Brain structural covariance network centrality in maltreated youth with PTSD and in maltreated youth resilient to PTSD.

Authors:  Delin Sun; Courtney C Haswell; Rajendra A Morey; Michael D De Bellis
Journal:  Dev Psychopathol       Date:  2018-04-10

Review 7.  Annual Research Review: Enduring neurobiological effects of childhood abuse and neglect.

Authors:  Martin H Teicher; Jacqueline A Samson
Journal:  J Child Psychol Psychiatry       Date:  2016-02-01       Impact factor: 8.982

8.  Anomalies in global network connectivity associated with early recovery from alcohol dependence: A network transcranial magnetic stimulation and electroencephalography study.

Authors:  Jodie Naim-Feil; Paul B Fitzgerald; Mica Rubinson; Dan I Lubman; Dianne M Sheppard; John L Bradshaw; Nava Levit-Binnun; Elisha Moses
Journal:  Addict Biol       Date:  2022-03       Impact factor: 4.093

9.  Novel way to investigate evolution of children refractory epilepsy by complexity metrics in massive information.

Authors:  Ricardo Zavala-Yoé; Ricardo Ramírez-Mendoza; Luz M Cordero
Journal:  Springerplus       Date:  2015-08-21

10.  Application of Graph Theory to Assess Static and Dynamic Brain Connectivity: Approaches for Building Brain Graphs.

Authors:  Qingbao Yu; Yuhui Du; Jiayu Chen; Jing Sui; Tulay Adali; Godfrey Pearlson; Vince D Calhoun
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2018-04-25       Impact factor: 10.961

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