Predicting functional connectivity from structural connectivity via computational models using MRI: An extensive comparison study

NeuroImage

Volumn 111, Issue , 2015, Pages 65-75

  Messé, Arnaud ^a,b   Rudrauf, David ^c,d   Giron, Alain ^b   Marrelec, Guillaume ^b  

^a UNIVERSITY MEDICAL CENTER HAMBURG EPPENDORF   (Germany)

^b SORBONNE UNIVERSITÉ   (France)

^c UNIV GRENOBLE ALPES   (France)

^d GRENOBLE INSTITUT DES NEUROSCIENCES   (France)

Author keywords

DWI; FMRI; Functional connectivity; Generative models; Structure function relationship

Indexed keywords

ADULT; ARTICLE; BOLD SIGNAL; COMPARATIVE STUDY; CONNECTOME; CONTROLLED STUDY; DIFFUSION WEIGHTED IMAGING; FEMALE; FUNCTIONAL CONNECTIVITY; HUMAN; HUMAN EXPERIMENT; MALE; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PREDICTION; RESTING STATE NETWORK; SIMULATION; STRUCTURAL CONNECTIVITY; TRACTOGRAPHY; ANATOMY AND HISTOLOGY; BIOLOGICAL MODEL; BRAIN; COMPUTER SIMULATION; NERVE CELL NETWORK; PHYSIOLOGY; PROCEDURES;

ADULT; BRAIN; COMPUTER SIMULATION; CONNECTOME; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MODELS, NEUROLOGICAL; NERVE NET;

EID: 84923109639     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2015.02.001     Document Type: Article

References (49)

1. Allen E.A., Damaraju E., Plis S.M., Erhardt E.B., Eichele T., Calhoun V.D. Tracking whole-brain connectivity dynamics in the resting state. Cereb. Cortex 2014, 24:663-676.
2. Barnett L., Buckley C.L., Bullock S. Neural complexity and structural connectivity. Phys. Rev. E 2009, 79:051914.
3. Bassett D.S., Bullmore E., Verchinski B.A., Mattay V.S., Weinberger D.R., Meyer-Lindenberg A. Hierarchical organization of human cortical networks in health and schizophrenia. J. Neurosci. 2008, 28:9239-9248.
4. Beckmann C.F., Smith S.M. Tensorial extensions of independent component analysis for multisubject FMRI analysis. NeuroImage 2005, 25:294-311.
5. Behrens T.E.J., Johansen-Berg H., Jbabdi S., Rushworth M.F.S., Woolrich M.W. Probabilistic diffusion tractography with multiple fibre orientations: what can we gain?. NeuroImage 2007, 34:144-155.
6. Breakspear M., Terry J.R., Friston K.J. Modulation of excitatory synaptic coupling facilitates synchronization and complex dynamics in a biophysical model of neuronal dynamics. Netw. Comput. Neural Syst. 2003, 14:703-732.
7. Breakspear M., Jirsa V., Deco G. Computational models of the brain: from structure to function. NeuroImage 2010, 52:727-730.
8. Brookes M.J., Woolrich M., Luckhoo H., Price D., Hale J.R., Stephenson M.C., Barnes G.R., Smith S.M., Morris P.G. Investigating the electrophysiological basis of resting state networks using magnetoencephalography. Proc. Natl. Acad. Sci. U. S. A. 2011, 108:16783-16788.
9. Cabral J., Hugues E., Sporns O., Deco G. Role of local network oscillations in resting-state functional connectivity. NeuroImage 2011, 57:130-139.
10. Cabral J., Hugues E., Kringelbach M.L., Deco G. Modeling the outcome of structural disconnection on resting-state functional connectivity. NeuroImage 2012, 62:1342-1353.
11. Cabral J., Kringelbach M.L., Deco G. Exploring the network dynamics underlying brain activity at rest. Prog. Neurobiol. 2014, 114:102-131.
12. Chang C., Glover G.H. Time-frequency dynamics of resting-state brain connectivity measured with fMRI. NeuroImage 2010, 50:81-98.
13. Damoiseaux J.S.S., Rombouts S.A.R.B., Barkhof F., Scheltens P., Stam C.J.J., Smith S.M.M., Beckmann C.F.F. Consistent resting-state networks across healthy subjects. Proc. Natl. Acad. Sci. U. S. A. 2006, 103:13848-13853.
14. Deco G., Jirsa V.K. Ongoing cortical activity at rest: criticality, multistability, and ghost attractors. J. Neurosci. 2012, 32:3366-3375.
15. Deco G., Jirsa V., Robinson P.A., Breakspear M., Friston K. The dynamic brain: from spiking neurons to neural masses and cortical fields. PLoS Comput. Biol. 2008, 4:e1000092.
16. Deco G., Jirsa V., McIntosh A.R., Sporns O., Kotter R. Key role of coupling, delay, and noise in resting brain fluctuations. Proc. Natl. Acad. Sci. U. S. A. 2009, 106:10302-10307.
17. Dijkstra E.W. A note on two problems in connexion with graphs. Numer. Math. 1959, 1:269-271.
18. Fischl B., Van der Kouwe A., Destrieux C., Halgren E., Segonne F., Salat D.H., Busa E., Seidman L.J., Goldstein J., Kennedy D., Caviness V., Makris N., Rosen B., Dale A.M. Automatically parcellating the human cerebral cortex. Cereb. Cortex 2004, 14:11-22.
19. Fitch A.M., Jones M.B. Shortest path analysis using partial correlations for classifying gene functions from gene expression data. Bioinformatics 2009, 25:42-47.
20. Fox M., Zhang D., Snyder A., Raichle M. The global signal and observed anticorrelated resting state brain networks. J. Neurophysiol. 2009, 101:3270-3283.
21. Friston K.J. Dynamic causal modelling. NeuroImage 2003, 19:1273-1302.
22. Galán R. On how network architecture determines the dominant patterns of spontaneous neural activity. PLoS ONE 2008, 3:e2148.
23. Ghosh A., Rho Y., McIntosh A.R., Kotter R., Jirsa V. Noise during rest enables the exploration of the brain's dynamic repertoire. PLoS Comput. Biol. 2008, 4:e1000196.
24. Hagmann P., Cammoun L., Gigandet X., Meuli R., Honey C., Wedeen V., Sporns O. Mapping the structural core of human cerebral cortex. PLoS Biol. 2008, 6:e159.
25. Handwerker D.A., Roopchansingh V., Gonzalez-Castillo J., Bandettini P.A. Periodic changes in fMRI connectivity. NeuroImage 2012, 63:1712-1719.
26. Hipp J.F., Hawellek D.J., Corbetta M., Siegel M., Engel A.K. Large-scale cortical correlation structure of spontaneous oscillatory activity. Nat. Neurosci. 2012, 15:884-890.
27. Holm S. A simple sequentially rejective multiple test procedure. Scand. J. Stat. 1979, 6:65-70.
28. Honey C.J., Sporns O., Cammoun L., Gigandet X., Thiran J.-P., Meuli R., Hagmann P. Predicting human resting-state functional connectivity from structural connectivity. Proc. Natl. Acad. Sci. U. S. A. 2009, 106:2035-2040.
29. Horwitz B. Simulating functional interactions in the brain: a model for examining correlations between regional cerebral metabolic rates. Int. J. Biomed. Comput. 1990, 26:149-170.
30. Hutchison R.M., Womelsdorf T., Gati J.S., Everling S., Menon R.S. Resting-state networks show dynamic functional connectivity in awake humans and anesthetized macaques. Hum. Brain Mapp. 2013, 34:2154-2177.
31. Kamada T., Kawai S. An algorithm for drawing general undirected graphs. Inf. Process. Lett. 1989, 31:7-15.
32. Kramer C.Y. Extensions of multiple range tests to group means with unequal numbers of replications. Biometrics 1956, 12:307-310.
33. Larter R., Brent S. A coupled ordinary differential equation lattice model for the simulation of epileptic seizures. Chaos 1999, 9:795-804.
34. Mantini D., Perrucci M.G., Del Gratta C., Romani G.L., Corbetta M. Electrophysiological signatures of resting state networks in the human brain. Proc. Natl. Acad. Sci. U. S. A. 2007, 104:13170-13175.
35. Marrelec G., Krainik A., Duffau H., Pélégrini-Issac M., Lehéricy S., Doyon J., Benali H. Partial correlation for functional brain interactivity investigation in functional MRI. NeuroImage 2006, 32:228-237.
36. Messé A., Rudrauf D., Benali H., Marrelec G. Relating structure and function in the human brain: relative contributions of anatomy, stationary dynamics, and non-stationarities. PLoS Comput. Biol. 2014, 10:e1003530.
37. Messé A., Benali H., Marrelec G. Relating structural and functional connectivity in MRI: a simple model for a complex brain. IEEE Trans. Med. Imaging 2015, 34:27-37.
38. Nakamura T., Hillary F., Biswal B. Resting network plasticity following brain injury. PLoS ONE 2009, 4:e8220.
39. Rubinov M., Sporns O. Complex network measures of brain connectivity: uses and interpretations. NeuroImage 2010, 52:1059-1069.
40. Smith S.M., Jenkinson M., Woolrich M.W., Beckmann C.F., Behrens T.E.J., Johansen-Berg H., Bannister P.R., De Luca M., Drobnjak I., Flitney D.E., Niazy R.K., Saunders J., Vickers J., Zhang Y., De Stefano N., Brady J.M., Matthews P.M. Advances in functional and structural MR image analysis and implementation as FSL. NeuroImage 2004, 23:208-219.
41. Smith S.M., Miller K.L., Moeller S., Xu J., Auerbach E.J., Woolrich M.W., Beckmann C.F., Jenkinson M., Andersson J., Glasser M.F., Van Essen D.C., Feinberg D.A., Yacoub E.S., Ugurbil K. Temporally-independent functional modes of spontaneous brain activity. Proc. Natl. Acad. Sci. U. S. A. 2012, 109:3131-3136.
42. Stefanescu R.A., Jirsa V.K. A low dimensional description of globally coupled heterogeneous neural networks of excitatory and inhibitory neurons. PLoS Comput. Biol. 2008, 4:e1000219.
43. Tononi G., Sporns O., Edelman G. A measure for brain complexity: relating functional segregation and integration in the nervous system. Proc. Natl. Acad. Sci. U. S. A. 1994, 91:5033-5037.
44. Tukey, J. W., 1953. The problem of multiple comparisons, unpublished manuscript, Princeton Univ.
45. Van Dijk K., Hedden T., Venkataraman A., Evans K., Lazar S., Buckner R. Intrinsic functional connectivity as a tool for human connectomics: theory, properties, and optimization. J. Neurophysiol. 2010, 103:297-321.
46. Whittaker J. Graphical Models in Applied Multivariate Statistics 1990, J. Wiley and Sons, Chichester.
47. Wilson H.R., Cowan J.D. Excitatory and inhibitory interactions in localised populations of model neurons. Biophys. J. 1972, 12:1-24.
48. Woolrich M.W., Stephan K.E. Biophysical network models and the human connectome. NeuroImage 2013, 80:330-338.
49. Yeung M.K.S., Strogatz S.H. Time delay in the Kuramoto model of coupled oscillators. Phys. Rev. Lett. 1999, 82:648-651.