Literature DB >> 17990300

The influence of ageing on complex brain networks: a graph theoretical analysis.

Sifis Micheloyannis1, Michael Vourkas, Vassiliki Tsirka, Eleni Karakonstantaki, Kassia Kanatsouli, Cornelis J Stam.   

Abstract

OBJECTIVE: To determine the functional connectivity of different EEG bands at the "baseline" situation (rest) and during mathematical thinking in children and young adults to study the maturation effect on brain networks at rest and during a cognitive task.
METHODS: Twenty children (8-12 years) and twenty students (21-26 years) were studied. The synchronization likelihood was used to evaluate the interregional synchronization of different EEG frequency bands in children and adults, at rest and during math. Then, graphs were constructed and characterized in terms of local structure (clustering coefficient) and overall integration (path length) and the "optimal" organization of the connectivity i.e., the small world network (SWN).
RESULTS: The main findings were: (i) Enhanced synchronization for theta band during math more prominent in adults. (ii) Decrease of the optimal SWN organization of the alpha2 band during math. (iii) The beta and especially gamma bands showed lower synchronization and signs of lower SWN organization in both situations in adults.
CONCLUSION: There are interesting findings related to the two age groups and the two situations. The theta band showed higher synchronization during math in adults as a result of higher capacity of the working memory in this age group. The alpha2 band showed some SWN disorganization during math, a process analog to the known desynchronization. In adults, a dramatic reduction of the connections in gray matter occurs. Although this maturation process is probably related to higher efficiency, reduced connectivity is expressed by lower synchronization and lower mean values of the graph parameters in adults. (c) 2007 Wiley-Liss, Inc.

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Year:  2009        PMID: 17990300      PMCID: PMC6870834          DOI: 10.1002/hbm.20492

Source DB:  PubMed          Journal:  Hum Brain Mapp        ISSN: 1065-9471            Impact factor:   5.038


  41 in total

Review 1.  Connectivity and complexity: the relationship between neuroanatomy and brain dynamics.

Authors:  O Sporns; G Tononi; G M Edelman
Journal:  Neural Netw       Date:  2000 Oct-Nov

2.  Life-span changes in EEG spectral amplitude, amplitude variability and mean frequency.

Authors:  R E Dustman; D E Shearer; R Y Emmerson
Journal:  Clin Neurophysiol       Date:  1999-08       Impact factor: 3.708

3.  Gamma and beta frequency oscillations in response to novel auditory stimuli: A comparison of human electroencephalogram (EEG) data with in vitro models.

Authors:  C Haenschel; T Baldeweg; R J Croft; M Whittington; J Gruzelier
Journal:  Proc Natl Acad Sci U S A       Date:  2000-06-20       Impact factor: 11.205

4.  Gamma, alpha, delta, and theta oscillations govern cognitive processes.

Authors:  E Başar; C Başar-Eroglu; S Karakaş; M Schürmann
Journal:  Int J Psychophysiol       Date:  2001-01       Impact factor: 2.997

5.  Variability of EEG synchronization during a working memory task in healthy subjects.

Authors:  Cornelis J Stam; Anne-Marie van Cappellen van Walsum; Sifis Micheloyannis
Journal:  Int J Psychophysiol       Date:  2002-10       Impact factor: 2.997

6.  Synchronization likelihood with explicit time-frequency priors.

Authors:  T Montez; K Linkenkaer-Hansen; B W van Dijk; C J Stam
Journal:  Neuroimage       Date:  2006-10-03       Impact factor: 6.556

7.  Analysis of the interrelations between frequency bands of the EEG by means of the bispectrum. A preliminary study.

Authors:  G Dumermuth; P J Huber; B Kleiner; T Gasser
Journal:  Electroencephalogr Clin Neurophysiol       Date:  1971-08

8.  Small-world networks and epilepsy: graph theoretical analysis of intracerebrally recorded mesial temporal lobe seizures.

Authors:  S C Ponten; F Bartolomei; C J Stam
Journal:  Clin Neurophysiol       Date:  2007-02-20       Impact factor: 3.708

9.  Task-related coupling from high- to low-frequency signals among visual cortical areas in human subdural recordings.

Authors:  Andreas Bruns; Reinhard Eckhorn
Journal:  Int J Psychophysiol       Date:  2004-01       Impact factor: 2.997

10.  Does the brain have a baseline? Why we should be resisting a rest.

Authors:  Alexa M Morcom; Paul C Fletcher
Journal:  Neuroimage       Date:  2006-10-17       Impact factor: 6.556

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  52 in total

1.  Effects of age on the structure of functional connectivity networks during episodic and working memory demand.

Authors:  Franziska Matthäus; Jan-Philip Schmidt; Anirban Banerjee; Thomas G Schulze; Traute Demirakca; Carsten Diener
Journal:  Brain Connect       Date:  2012-07-19

2.  Reorganization of Brain Networks in Aging and Age-related Diseases.

Authors:  Junfeng Sun; Shanbao Tong; Guo-Yuan Yang
Journal:  Aging Dis       Date:  2011-11-28       Impact factor: 6.745

Review 3.  Human brain networks in health and disease.

Authors:  Danielle S Bassett; Edward T Bullmore
Journal:  Curr Opin Neurol       Date:  2009-08       Impact factor: 5.710

4.  Parcellation-dependent small-world brain functional networks: a resting-state fMRI study.

Authors:  Jinhui Wang; Liang Wang; Yufeng Zang; Hong Yang; Hehan Tang; Qiyong Gong; Zhang Chen; Chaozhe Zhu; Yong He
Journal:  Hum Brain Mapp       Date:  2009-05       Impact factor: 5.038

5.  Graph-based network analysis in schizophrenia.

Authors:  Sifis Micheloyannis
Journal:  World J Psychiatry       Date:  2012-02-22

6.  Functional brain network efficiency predicts intelligence.

Authors:  Nicolas Langer; Andreas Pedroni; Lorena R R Gianotti; Jürgen Hänggi; Daria Knoch; Lutz Jäncke
Journal:  Hum Brain Mapp       Date:  2011-05-09       Impact factor: 5.038

7.  Age-related changes in topological organization of structural brain networks in healthy individuals.

Authors:  Kai Wu; Yasuyuki Taki; Kazunori Sato; Shigeo Kinomura; Ryoi Goto; Ken Okada; Ryuta Kawashima; Yong He; Alan C Evans; Hiroshi Fukuda
Journal:  Hum Brain Mapp       Date:  2011-03-09       Impact factor: 5.038

8.  Graph-based network analysis of resting-state functional MRI.

Authors:  Jinhui Wang; Xinian Zuo; Yong He
Journal:  Front Syst Neurosci       Date:  2010-06-07

9.  Comparing brain networks of different size and connectivity density using graph theory.

Authors:  Bernadette C M van Wijk; Cornelis J Stam; Andreas Daffertshofer
Journal:  PLoS One       Date:  2010-10-28       Impact factor: 3.240

10.  Disturbed functional brain networks and neurocognitive function in low-grade glioma patients: a graph theoretical analysis of resting-state MEG.

Authors:  Ingeborg Bosma; Jaap C Reijneveld; Martin Klein; Linda Douw; Bob W van Dijk; Jan J Heimans; Cornelis J Stam
Journal:  Nonlinear Biomed Phys       Date:  2009-08-23
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