Literature DB >> 16859985

Disturbed functional connectivity in brain tumour patients: evaluation by graph analysis of synchronization matrices.

Fabrice Bartolomei1, Ingeborg Bosma, Martin Klein, Johannes C Baayen, Jaap C Reijneveld, Tjeerd J Postma, Jan J Heimans, Bob W van Dijk, Jan C de Munck, Arent de Jongh, Keith S Cover, Cornelis J Stam.   

Abstract

OBJECTIVE: Cerebral functions are based on the functional interactions between multiple distinct specialized regions of the brain. Functional interactions require anatomical connections as well as the synchronization of brain oscillations. The present work aims at evaluating the impact of brain tumours on spatial patterns of functional connectivity of the brain measured at rest by MEG.
METHODS: We analyzed the statistical dependency (by computing the synchronization likelihood (SL, a measure of generalized synchronization)) between MEG signals at rest, in 17 patients with a brain tumour and in 15 healthy controls. Following an approach that derives from graph theory, we also analyzed the architectural properties of the networks by computing two parameters from the SL matrix, the cluster coefficient C and the characteristic path length L.
RESULTS: Alterations in synchronization levels were found in the patients and were not focal but involved intra-hemispheric connectivity. Effects were different considering the frequencies sub-bands, predominating in a decrease in high frequencies bands for long-distance connections and an increase in slower bands for local connectivity. In addition, graph analysis reveals changes in the normal "small-world" network architecture in addition to changes in synchronization levels with some differences according to the studied frequency sub-bands.
CONCLUSIONS: Brain tumours alter the functional connectivity and the "network" architecture of the brain. These alterations are not focal and effects are different considering the frequencies sub-bands. SIGNIFICANCE: These neurophysiological changes may contribute to the cognitive alterations observed in patients with brain tumours.

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Year:  2006        PMID: 16859985     DOI: 10.1016/j.clinph.2006.05.018

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  92 in total

1.  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

2.  Double dissociation of two cognitive control networks in patients with focal brain lesions.

Authors:  Emi M Nomura; Caterina Gratton; Renee M Visser; Andrew Kayser; Fernando Perez; Mark D'Esposito
Journal:  Proc Natl Acad Sci U S A       Date:  2010-06-14       Impact factor: 11.205

Review 3.  Graph theoretical analysis of structural and functional connectivity MRI in normal and pathological brain networks.

Authors:  Maxime Guye; Gaelle Bettus; Fabrice Bartolomei; Patrick J Cozzone
Journal:  MAGMA       Date:  2010-03-27       Impact factor: 2.310

4.  Associations between Neighborhood SES and Functional Brain Network Development.

Authors:  Ursula A Tooley; Allyson P Mackey; Rastko Ciric; Kosha Ruparel; Tyler M Moore; Ruben C Gur; Raquel E Gur; Theodore D Satterthwaite; Danielle S Bassett
Journal:  Cereb Cortex       Date:  2020-01-10       Impact factor: 5.357

5.  Small-world properties of nonlinear brain activity in schizophrenia.

Authors:  Mikail Rubinov; Stuart A Knock; Cornelis J Stam; Sifis Micheloyannis; Anthony W F Harris; Leanne M Williams; Michael Breakspear
Journal:  Hum Brain Mapp       Date:  2009-02       Impact factor: 5.038

6.  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

7.  Synchronized brain activity and neurocognitive function in patients with low-grade glioma: a magnetoencephalography study.

Authors:  Ingeborg Bosma; Linda Douw; Fabrice Bartolomei; Jan J Heimans; Bob W van Dijk; Tjeerd J Postma; Cornelis J Stam; Jaap C Reijneveld; Martin Klein
Journal:  Neuro Oncol       Date:  2008-07-23       Impact factor: 12.300

8.  Altered brain anatomical networks and disturbed connection density in brain tumor patients revealed by diffusion tensor tractography.

Authors:  Zhou Yu; Ling Tao; Zhiyu Qian; Jiangfen Wu; Hongyi Liu; Yun Yu; Jiantai Song; Shaobo Wang; Jinyang Sun
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-02-25       Impact factor: 2.924

9.  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

Review 10.  Time domain measures of inter-channel EEG correlations: a comparison of linear, nonparametric and nonlinear measures.

Authors:  J D Bonita; L C C Ambolode; B M Rosenberg; C J Cellucci; T A A Watanabe; P E Rapp; A M Albano
Journal:  Cogn Neurodyn       Date:  2013-09-04       Impact factor: 5.082

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