Reduction of resting state network segregation is linked to disorders of consciousness

Community; NSGA II; Bioinformatics; Information science; Segregation (metallography); Functional network; Functional structure; Novel methodology; NSGA-II; Resting state; Segregation levels; Multiobjective optimization

Abstract :

[en] Recent evidence suggests that healthy brain is organized on large-scale in regions spatially distant and partially temporally synchronized. These regions commonly are called Resting State Networks (RSNs). Many RSNs has been identified in multiples spatial scales in healthy subjects and their interactions has been used to define the functional network connectivity (FNC). The main idea in FNC is that the dynamic shown in the interactions among RSNs in control subjects, can change in pathological and pharmacological conditions. However, this hypothesis assumes that functional structure of healthy brain, remains in other brain states or conditions. In this work, we proposed a novel methodology in order to find the new brain functional structure for disorders of consciousness conditions, based on multi-objective optimization approach. Particularly, we find the best partition of RSNs set, that maximize two modularity measures (Kapur and Otsu measures). Our results suggest that the brain segregation level, may be linked to consciousness level. © 2015 SPIE.

Disciplines :

Neurosciences & behavior

Author, co-author :

Rudas, Jorge; Computer Science Department, Universidad Nacional de Colombia, Colombia, Colombia

Martínez, Darwin; Computer Science Department, Universidad Nacional de Colombia, Colombia, Colombia, Computer Science Department, Universidad Central, Colombia

Guaje, Javier; Computer Science Department, Universidad Nacional de Colombia, Colombia, Colombia

Demertzi, Athina ; Université de Liège - ULiège > Centre de recherches du cyclotron

Heine, Lizette ; Université de Liège - ULiège > Centre de recherches du cyclotron

TSHIBANDA, Luaba ; Centre Hospitalier Universitaire de Liège - CHU > Service médical de radiodiagnostic

Soddu, Andrea ; Université de Liège - ULiège > Centre de recherches du cyclotron

Laureys, Steven ; Université de Liège - ULiège > GIGA : Coma Group

Gómez, Francisco; Computer Science Department, Universidad Central, Colombia

Language :

English

Title :

Reduction of resting state network segregation is linked to disorders of consciousness

Publication date :

2015

Event name :

11th International Symposium on Medical Information Processing and Analysis, SIPAIM 2015

Event date :

17 November 2015 through 19 November 2015

Audience :

International

Journal title :

Proceedings of SPIE: The International Society for Optical Engineering

ISSN :

0277-786X

eISSN :

1996-756X

Publisher :

SPIE

Volume :

9681

Pages :

96810U

Peer reviewed :

Peer reviewed

Funders :

UC - Universidad Central de Colombia
F.R.S.-FNRS - Fonds de la Recherche Scientifique
EC - European Commission
JSMF - James S McDonnell Foundation
ESA - European Space Agency
MSF - Mind Science Foundation
CFB - Communauté française de Belgique
UET - Université Européenne du Travail
FERB - Fondazione Europea Ricerca Biomedica
CHU Liège - Central University Hospital of Liege

Funding text :

This work was supported by the projects Platform and Architecture for the representation and data analytics of Paramo leaves morhpology (PARAMO) and the Cluster in Convergent Technologies from Universidad Central de Colombia, the Belgian National Funds for Scientic Research (FNRS), the European Commission, the James McDonnell Foundation, the European Space Agency, Mind Science Foundation, the French Speaking Community Concerted Research Action, the Belgian interuniversity attraction pole, the Public Utility Foundation “Université Européenne du Travail” , “Fondazione Europea di Ricerca Biomedica” and the University Hospital of Liège.

Available on ORBi :

since 19 May 2020

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Bibliography

M. Fox and M. Raichle, Spontaneous uctuations in brain activity observed with functional magnetic resonance imaging," Nat Rev Neurosci 8, p. 700711, 2007.
A. Demertzi, F. Gomez, J. Crone, A. Vanhaudenhuyse, L. Tshibanda, Q. Noirhomme, M. Thonnard, V. Charland-Verville, M. Kirsch, S. Laureys, A. Soddu, Multiple fmri system-level baseline connectivity is disrupted in patients with consciousness alterations," Cortex 52(0), pp. 35-46, 2014.
J. S. Damoiseaux, S. A. R. B. Rombouts, F. Barkhof, P. Scheltens, C. J. Stam, S. M. Smith, C. F. Beckmann, Consistent resting-state networks across healthy subjects," Proceedings of the National Academy of Sciences 103(37), pp. 13848-13853, 2006.
M. Jafri, G. Pearlson, M. Stevens, V. Calhoun, A method for functional network connectivity among spatially independent resting-state components in schizophrenia," NeuroImage 39(4), pp. 1666-1681, 2008.
J. Rudas, J. Guaje, A. Demertzi, L. Heine, L. Tshibanda, A. Soddu, S. Laureys, F. Gomez, A method for functional network connectivity using distance correlation," Conf Proc IEEE Eng Med Biol Soc 2014, pp. 2793-2796, 2014.
J. Rudas, J. Guaje, A. Demertzi, L. Heine, L. Tshibanda, A. Soddu, S. Laureys, F. Gomez, Dynamic functional network connectivity using distance correlation," Proc. SPIE 9287, pp. 92870P-92870P-6, 2015.
X. Liu, B. D. Ward, J. R. Binder, S.-J. Li, A. G. Hudetz, Scale-free functional connectivity of the brain is maintained in anesthetized healthy participants but not in patients with unresponsive wakefulness syndrome," PLoS ONE 9, p. e92182, 03 2014.
S. Spadone, S. Della Penna, C. Sestieri, V. Betti, A. Tosoni, M. G. Perrucci, G. L. Romani, M. Corbetta, Dynamic reorganization of human resting-state networks during visuospatial attention," Proceedings of the National Academy of Sciences 112(26), pp. 8112-8117, 2015.
C. Jungho, H. Jung-Min, J. J. Hang, W. S. Sang, N. Duk, L. Jong-Min, Assessment of functional characteristics of amnestic mild cognitive impairment and alzheimers disease using various methods of resting-state fmri analysis," BioMed Research International 2015, ID 907464, p. 12, 2015.
A. Tam, C. Dansereau, A. Badhwar, P. Orban, S. Belleville, H. Chertkow, A. Dagher, A. Hanganu, O. Monchi, P. Rosa-Neto, A. Shmuel, S. Wang, J. Breitner, P. Bellec, , Consistent inter-protocol dierences in resting-state functional connectomes between normal aging and mild cognitive impairment," bioRxiv , 2015.
A. Demertzi, G. Antonopoulos, L. Heine, H. U. Voss, J. S. Crone, C. de Los Angeles, M. A. Bahri, C. Di Perri, A. Vanhaudenhuyse, V. Charland-Verville, M. Kronbichler, E. Trinka, C. Phillips, F. Gomez, L. Tshibanda, A. Soddu, N. D. Schi, S. Whiteld-Gabrieli, S. Laureys, Intrinsic functional connectivity dierentiates minimally conscious from unresponsive patients," Brain , 2015.
E. Bullmore and O. Sporns, Complex brain networks: graph theoretical analysis of structural and functional systems," Nat. Rev. Neurosci. 10, pp. 186-198, Mar 2009.
M. Breakspear and C. J. Stam, Dynamics of a neural system with a multiscale architecture," Philos. Trans. R. Soc. Lond., B, Biol. Sci. 360, pp. 1051-1074, May 2005.
M. P. van den Heuvel and O. Sporns, Rich-club organization of the human connectome," The Journal of Neuroscience 31(44), pp. 15775-15786, 2011.
K. J. Friston, Functional and eective connectivity: a review," Brain Connect 1(1), pp. 13-36, 2011.
O. Sporns, Networks analysis, complexity, brain function," Complex. 8, pp. 56-60, Sept. 2002.
G. Deco, G. Tononi, M. Boly, M. L. Kringelbach, Rethinking segregation and integration: contributions of whole-brain modelling," Nat Rev Neurosci 16, pp. 430-439, July 2015.
C. Brummitt, D. R. M, E. Leicht, Suppressing cascades of load in interdependent networks," Proceed-ings of the National Academy of Sciences 109(12), pp. E680-E689, 2012.
A. Fornito, A. Zalesky, M. Breakspear, The connectomics of brain disorders," Nature Reviews Neuro-science 16, pp. 159-172, Feb. 2015.
S. Fortunato, Community detection in graphs," 486, pp. 75-174, Feb. 2010.
L. Djerou, N. Khelil, N. Dehimi, M. Batouche, Automatic multi-level thresholding segmentation based on multi-objective optimization," Journal of Applied Computer Science and Mathematics 12(6), pp. 24-31, 2012.
M. Girvan and M. E. J. Newman, Community structure in social and biological networks," Proceedings of the National Academy of Sciences 99(12), pp. 7821-7826, 2002.
M. E. J. Newman, Fast algorithm for detecting community structure in networks, vol. 69, American Physical Society, Jun 2004.
H. Trevor, T. Robert, F. Jerome, The Elements of Statistical Learning: Data Mining, Inference, Prediction. Second Edition, 2009.
C. Schnakers, S. Majerus, J. Giacino, A. Vanhaudenhuyse, M. A. Bruno, M. Boly, G. Moonen, P. Damas, B. Lambermont, M. Lamy, F. Damas, M. Ventura, S. Laureys, A French validation study of the Coma Recovery Scale-Revised (CRS-R)," Brain Injury 22, pp. 786-792, Sep 2008.
B. e. a. Cecile, Temporal and spatial independent component analysis for fmri data sets embedded in the analyzefmri r package," Journal of Statistical Software 44(9), 2011.
M. J. Mckeown, S. Makeig, G. G. Brown, T.-P. Jung, S. S. Kindermann, R. S. Kindermann, A. J. Bell, T. J. Sejnowski, Analysis of fmri data by blind separation into independent spatial components," Human Brain Mapping 6, pp. 160-188, 1998.
J. Kapur, P. Sahoo, A. Wong, A new method for gray-level picture thresholding using the entropy of the histogram," Computer Vision, Graphics, Image Processing 29(3), pp. 273-285, 1985.
N. Otsu, A threshold selection method from gray-level histograms," IEEE Trans. on Systems, Man, Cybernetics 9(1), pp. 62-66, 1979.
K. Deb, A. Pratap, S. Agarwal, T. Meyarivan, A fast elitist multi-objective genetic algorithm: Nsga-ii," IEEE Transactions on Evolutionary Computation 6, pp. 182-197, 2000.
R. Schulz, Senior lecturer in bioinformatics and epigenomics department of medical and molecular genetics, king's college london." Web; accedido el 06-11-2013.
R. Robinson, Exploring the global workspace of consciousness," PLoS Biol 7, p. e1000066, 03 2009.
W. Seeley, V. Menon, A. Schatzberg, J. Keller, G. Glover, H. Kenna, A. Reiss, M. Greicius, Disso-ciable intrinsic connectivity networks for salience processing and executive control," The Journal of Neuro-science 27(9), pp. 2349-2356, 2007.
O. Sporns, Network attributes for segregation and integration in the human brain," Curr. Opin. Neuro-biol. 23, pp. 162-171, Apr 2013.
D.-J. Kim, E. P. Davis, C. A. Sandman, O. Sporns, B. F. O'Donnell, C. Buss, W. P. Hetrick, Children's intellectual ability is associated with structural network integrity," NeuroImage 124, Part A, pp. 550-556, 2016.
M. Pedersen, A. H. Omidvarnia, J. M. Walz, G. D. Jackson, Increased segregation of brain networks in focal epilepsy: An fmri graph theory nding," NeuroImage: Clinical 8, pp. 536-542, 2015.
M. Y. Chan, D. C. Park, N. K. Savalia, S. E. Petersen, G. S. Wig, Decreased segregation of brain systems across the healthy adult lifespan," Proceedings of the National Academy of Sciences 111(46), pp. E4997-E5006, 2014.