Graph Theoretic Analysis of Resting State Functional MR Imaging

Overview

Journal Neuroimaging Clin N Am

Specialties Neurology
Radiology

Date 2017 Oct 8

PMID 28985931

Citations 26

Authors

John D Medaglia

Affiliations

Soon will be listed here.

Abstract

Graph theoretic analyses applied to examine the brain at rest have played a critical role in clarifying the foundations of the brain's intrinsic and task-related activity. There are many opportunities for clinical scientists to describe and predict dysfunction using a network perspective. This primer describes the theoretic basis and practical application of graph theoretic analysis to resting state functional MR imaging data. Major practices, concepts, and findings are concisely reviewed. The theoretic and practical frontiers of resting state functional MR imaging are highlighted with observations about major avenues for conceptual advances and clinical translation.

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References

Honey C, Sporns O, Cammoun L, Gigandet X, Thiran J, Meuli R . Predicting human resting-state functional connectivity from structural connectivity. Proc Natl Acad Sci U S A. 2009; 106(6):2035-40. PMC: 2634800. DOI: 10.1073/pnas.0811168106. View

Murphy K, Birn R, Handwerker D, Jones T, Bandettini P . The impact of global signal regression on resting state correlations: are anti-correlated networks introduced?. Neuroimage. 2008; 44(3):893-905. PMC: 2750906. DOI: 10.1016/j.neuroimage.2008.09.036. View

Ciric R, Wolf D, Power J, Roalf D, Baum G, Ruparel K . Benchmarking of participant-level confound regression strategies for the control of motion artifact in studies of functional connectivity. Neuroimage. 2017; 154:174-187. PMC: 5483393. DOI: 10.1016/j.neuroimage.2017.03.020. View

Seeley W, Menon V, Schatzberg A, Keller J, Glover G, Kenna H . Dissociable intrinsic connectivity networks for salience processing and executive control. J Neurosci. 2007; 27(9):2349-56. PMC: 2680293. DOI: 10.1523/JNEUROSCI.5587-06.2007. View

Sacchet M, Prasad G, Foland-Ross L, Thompson P, Gotlib I . Support vector machine classification of major depressive disorder using diffusion-weighted neuroimaging and graph theory. Front Psychiatry. 2015; 6:21. PMC: 4332161. DOI: 10.3389/fpsyt.2015.00021. View

Muldoon S, Bridgeford E, Bassett D . Small-World Propensity and Weighted Brain Networks. Sci Rep. 2016; 6:22057. PMC: 4766852. DOI: 10.1038/srep22057. View

Bassett D, Gazzaniga M . Understanding complexity in the human brain. Trends Cogn Sci. 2011; 15(5):200-9. PMC: 3170818. DOI: 10.1016/j.tics.2011.03.006. View

Sporns O, Honey C, Kotter R . Identification and classification of hubs in brain networks. PLoS One. 2007; 2(10):e1049. PMC: 2013941. DOI: 10.1371/journal.pone.0001049. View

Weissenbacher A, Kasess C, Gerstl F, Lanzenberger R, Moser E, Windischberger C . Correlations and anticorrelations in resting-state functional connectivity MRI: a quantitative comparison of preprocessing strategies. Neuroimage. 2009; 47(4):1408-16. DOI: 10.1016/j.neuroimage.2009.05.005. View

10.

Watts D, Strogatz S . Collective dynamics of 'small-world' networks. Nature. 1998; 393(6684):440-2. DOI: 10.1038/30918. View

11.

Lee M, Smyser C, Shimony J . Resting-state fMRI: a review of methods and clinical applications. AJNR Am J Neuroradiol. 2012; 34(10):1866-72. PMC: 4035703. DOI: 10.3174/ajnr.A3263. View

12.

van den Heuvel M, Hulshoff Pol H . Exploring the brain network: a review on resting-state fMRI functional connectivity. Eur Neuropsychopharmacol. 2010; 20(8):519-34. DOI: 10.1016/j.euroneuro.2010.03.008. View

13.

Liu X, Chang C, Duyn J . Decomposition of spontaneous brain activity into distinct fMRI co-activation patterns. Front Syst Neurosci. 2014; 7:101. PMC: 3913885. DOI: 10.3389/fnsys.2013.00101. View

14.

Wang J, Wang L, Zang Y, Yang H, Tang H, Gong Q . Parcellation-dependent small-world brain functional networks: a resting-state fMRI study. Hum Brain Mapp. 2008; 30(5):1511-23. PMC: 6870680. DOI: 10.1002/hbm.20623. View

15.

Beaty R, Benedek M, Wilkins R, Jauk E, Fink A, Silvia P . Creativity and the default network: A functional connectivity analysis of the creative brain at rest. Neuropsychologia. 2014; 64:92-8. PMC: 4410786. DOI: 10.1016/j.neuropsychologia.2014.09.019. View

16.

Mason M, Norton M, Van Horn J, Wegner D, Grafton S, Neil Macrae C . Wandering minds: the default network and stimulus-independent thought. Science. 2007; 315(5810):393-5. PMC: 1821121. DOI: 10.1126/science.1131295. View

17.

Marrelec G, Messe A, Giron A, Rudrauf D . Functional Connectivity's Degenerate View of Brain Computation. PLoS Comput Biol. 2016; 12(10):e1005031. PMC: 5063374. DOI: 10.1371/journal.pcbi.1005031. View

18.

Markov N, Ercsey-Ravasz M, Lamy C, Ribeiro Gomes A, Magrou L, Misery P . The role of long-range connections on the specificity of the macaque interareal cortical network. Proc Natl Acad Sci U S A. 2013; 110(13):5187-92. PMC: 3612613. DOI: 10.1073/pnas.1218972110. View

19.

Bassett D, Bullmore E . Small-world brain networks. Neuroscientist. 2006; 12(6):512-23. DOI: 10.1177/1073858406293182. View

20.

Holme P . Core-periphery organization of complex networks. Phys Rev E Stat Nonlin Soft Matter Phys. 2005; 72(4 Pt 2):046111. DOI: 10.1103/PhysRevE.72.046111. View