Relating structure and function in the human brain: relative contributions of anatomy, stationary dynamics, and non-stationarities
Open accessAbstract
Investigating the relationship between brain structure and function is a central endeavor for neuroscience research. Yet, the mechanisms shaping this relationship largely remain to be elucidated and are highly debated. In particular, the existence and relative contributions of anatomical constraints and dynamical physiological mechanisms of different types remain to be established. We addressed this issue by systematically comparing functional connectivity (FC) from resting-state functional magnetic resonance imaging data with simulations from increasingly complex computational models, and by manipulating anatomical connectivity obtained from fiber tractography based on diffusion-weighted imaging. We hypothesized that FC reflects the interplay of at least three types of components: (i) a backbone of anatomical connectivity, (ii) a stationary dynamical regime directly driven by the underlying anatomy, and (iii) other stationary and non-stationary dynamics not directly related to the anatomy. We showed that anatomical connectivity alone accounts for up to 15% of FC variance; that there is a stationary regime accounting for up to an additional 20% of variance and that this regime can be associated to a stationary FC; that a simple stationary model of FC better explains FC than more complex models; and that there is a large remaining variance (around 65%), which must contain the non-stationarities of FC evidenced in the literature. We also show that homotopic connections across cerebral hemispheres, which are typically improperly estimated, play a strong role in shaping all aspects of FC, notably indirect connections and the topographic organization of brain networks.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Interregional functional connectivity arises from anatomical projection strengths, correlated gene expression, and synaptic receptor densities.
“Interregional FC arises from anatomical projection strengths (Messe et al., 2014; Shen et al., 2012), correlated gene expression (Richiardi et al., 2015), and synaptic receptor densities (Turk et al., 2016; van den Heuvel et al., 2016b)”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Messe et al., 2014
Both highly parameterized simulations and sparser analytic predictions of FC appear comparably effective.
“Models can involve highly parameterized simulations of regional activity (Hansen et al., 2015; Messe et al., 2014; Sanz-Leon et al., 2015), or sparser analytic predictions of FC using graph metrics of mutual communication (Goni et al., 2014; Grayson et al., 2016) (although, both approaches appear to be comparably effective; see Figure 1D).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Messe et al., 2014
Even the best-performing SC-FC models generally account for less than 50% of the variance in FC across the brain in both humans and non-human primates.
“Even the best-performing SC-FC models generally account for less than 50% of the variance in FC across the brain in both humans and non-human primates (Grayson et al., 2016; Messe et al., 2014; Misic et al., 2015).”
From Development of large-scale functional networks from birth to adulthood: A guide to the neuroimaging literature (2017) · cites this paper as Messe et al., 2014
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Complex brain networks: graph theoretical analysis of structural and functional systems
Bullmore, E., & Sporns, O. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2575 · Cited by 11,820 · see citing works
<i>The Brain's Default Network</i>: <i>Anatomy, Function, and Relevance to Disease</i>
Buckner, R. L., Andrews‐Hanna, J. R., & Schacter, D. L. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1440.011 · Cited by 9,761 · see citing works
Hubert, L., & Arabie, P. (1985) · Journal of Classification · doi:10.1007/bf01908075 · Cited by 8,219 · see citing works
Dissociable intrinsic connectivity networks for salience processing and executive control
Seeley, W. W., Menon, V., Schatzberg, A. F., Keller, J., Glover, G. H., Kenna, H., Reiss, A. L., & Greicius, M. D. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.5587-06.2007 · Cited by 7,426 · see citing works
Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging
Fox, M. D., & Raichle, M. E. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2201 · Cited by 6,700 · see citing works
Objective Criteria for the Evaluation of Clustering Methods
Rand, W. M. (1971) · Journal of the American Statistical Association · doi:10.1080/01621459.1971.10482356 · Cited by 6,493 · see citing works
Correspondence of the brain's functional architecture during activation and rest
Smith, S. M., Fox, P. T., Miller, K. L., Glahn, D. C., Fox, P. M., Mackay, C. E., Filippini, N., Watkins, K. E., Toro, R., Laird, A. R., et al. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0905267106 · Cited by 5,150 · see citing works
The brainweb: phase synchronization and large-scale integration
Varela, F., Lachaux, J.-P., Rodriguez, E., & Martinerie, J. (2001) · Nature Reviews Neuroscience · doi:10.1038/35067550 · Cited by 4,761 · see citing works
Friston, K. J., Harrison, L., & Penny, W. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00202-7 · Cited by 4,583 · see citing works
Consistent resting-state networks across healthy subjects
Damoiseaux, J. S., Rombouts, S. A. R. B., Barkhof, F., Scheltens, P., Stam, C. J., Smith, S. M., & Beckmann, C. F. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0601417103 · Cited by 4,326 · see citing works
Mapping the structural core of human cerebral cortex
Hagmann, P., Cammoun, L., Gigandet, X., Meuli, R., Honey, C. J., Wedeen, V. J., & Sporns, O. (2008) · PLoS Biology · doi:10.1371/journal.pbio.0060159 · Cited by 4,173 · see citing works
Probabilistic diffusion tractography with multiple fibre orientations: What can we gain?
Behrens, T. E. J., Berg, H. J., Jbabdi, S., Rushworth, M. F. S., & Woolrich, M. W. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2006.09.018 · Cited by 3,471 · see citing works
Predicting human resting-state functional connectivity from structural connectivity
Honey, C. J., Sporns, O., Cammoun, L., Gigandet, X., Thiran, J. P., Meuli, R., & Hagmann, P. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0811168106 · Cited by 3,307 · see citing works
Mesulam, M. (1998) · Brain · doi:10.1093/brain/121.6.1013 · Cited by 3,072 · see citing works
Tracking whole-brain connectivity dynamics in the resting state
Allen, E. A., Damaraju, E., Plis, S. M., Erhardt, E. B., Eichele, T., & Calhoun, V. D. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhs352 · Cited by 2,992 · see citing works
Toward discovery science of human brain function
Biswal, B. B., Mennes, M., Zuo, X.-N., Gohel, S., Kelly, C., Smith, S. M., Beckmann, C. F., Adelstein, J. S., Buckner, R. L., Colcombe, S., et al. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0911855107 · Cited by 2,970 · see citing works
White matter integrity, fiber count, and other fallacies: The do's and don'ts of diffusion MRI
Jones, D. K., Knösche, T. R., & Turner, R. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.06.081 · Cited by 2,479 · see citing works
Van Dijk, K. R. A., Hedden, T., Venkataraman, A., Evans, K. C., Lazar, S. W., & Buckner, R. L. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00783.2009 · Cited by 1,844 · see citing works
Emerging concepts for the dynamical organization of resting-state activity in the brain
Deco, G., Jirsa, V. K., & McIntosh, A. R. (2011) · Nature reviews. Neuroscience · doi:10.1038/nrn2961 · Cited by 1,798 · see citing works
Intrinsic functional architecture in the anaesthetized monkey brain
Vincent, J. L., Patel, G. H., Fox, M. D., Snyder, A. Z., Baker, J. T., Van Essen, D. C., Zempel, J. M., Snyder, L. H., Corbetta, M., & Raichle, M. E. (2007) · Nature · doi:10.1038/nature05758 · Cited by 1,786 · see citing works
Tononi, G., Sporns, O., & Edelman, G. M. (1994) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.91.11.5033 · Cited by 1,626 · see citing works
Schmahmann, J. D., & Pandya, D. N. (2006) · doi:10.1093/acprof:oso/9780195104233.001.0001 · Cited by 1,157 · see citing works
Network attributes for segregation and integration in the human brain
Sporns, O. (2013) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2012.11.015 · Cited by 1,067 · see citing works
van den Heuvel, M. P., Mandl, R. C. W., Kahn, R. S., & Hulshoff Pol, H. E. (2009) · Human Brain Mapping · doi:10.1002/hbm.20737 · Cited by 987 · see citing works
Precuneus shares intrinsic functional architecture in humans and monkeys
Margulies, D. S., Vincent, J. L., Kelly, C., Lohmann, G., Uddin, L. Q., Biswal, B. B., Villringer, A., Castellanos, F. X., Milham, M. P., & Petrides, M. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0905314106 · Cited by 965 · see citing works
Diffusion spectrum magnetic resonance imaging (DSI) tractography of crossing fibers
Wedeen, V. J., Wang, R., Schmahmann, J. D., Benner, T., Tseng, W. I., Dai, G., Pandya, D. Ν., Hagmann, P., D'Arceuil, H. E., & de Crespigny, A. J. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.03.036 · Cited by 941 · see citing works
The Resting Brain: Unconstrained yet Reliable
Shehzad, Z. E., Kelly, C. A. M., Reiss, P. T., Gee, D. G., Gotimer, K., Uddin, L. Q., Lee, S. H., Margulies, D. S., Roy, A. K., Biswal, B. B., et al. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn256 · Cited by 913 · see citing works
Damoiseaux, J. S., & Greicius, M. D. (2009) · Brain Structure and Function · doi:10.1007/s00429-009-0208-6 · Cited by 897 · see citing works
Classification and related methods of data analysis
(1989) · European Journal of Operational Research · doi:10.1016/0377-2217(89)90016-7 · Cited by 760 · see citing works
Key role of coupling, delay, and noise in resting brain fluctuations
Deco, G., Jirsa, V., McIntosh, A. R., Sporns, O., & Kötter, R. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0901831106 · Cited by 756 · see citing works
Ongoing Cortical Activity at Rest: Criticality, Multistability, and Ghost Attractors
Deco, G., & Jirsa, V. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.2523-11.2012 · Cited by 680 · see citing works
Liu, X., & Duyn, J. H. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1216856110 · Cited by 647 · see citing works
Can structure predict function in the human brain?
Honey, C. J., Thivierge, J.-P., & Sporns, O. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.071 · Cited by 629 · see citing works
Tractography: Where Do We Go from Here?
Jbabdi, S., & Johansen-Berg, H. (2011) · Brain Connectivity · doi:10.1089/brain.2011.0033 · Cited by 614 · see citing works
Structural foundations of resting-state and task-based functional connectivity in the human brain
Hermundstad, A. M., Bassett, D. S., Brown, K., Aminoff, E., Clewett, D., Freeman, S., Frithsen, A., Johnson, A., Tipper, C. M., Miller, M. B., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1219562110 · Cited by 559 · see citing works
Noise during Rest Enables the Exploration of the Brain's Dynamic Repertoire
Ghosh, A., Rho, Y.-A., McIntosh, A. R., Kötter, R., & Jirsa, V. (2008) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000196 · Cited by 550 · see citing works
Role of local network oscillations in resting-state functional connectivity
Cabral, J., Hugues, E., Sporns, O., & Deco, G. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.04.010 · Cited by 515 · see citing works
The human connectome: Origins and challenges
Sporns, O. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.03.023 · Cited by 434 · see citing works
Intrinsic Brain Activity in Altered States of Consciousness
Boly, M., Phillips, C. L. M., Tshibanda, L., Vanhaudenhuyse, A., Schabus, M., Dang‐Vu, T. T., Moonen, G., Hustinx, R., Maquet, P., & Laureys, S. (2008) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1417.015 · Cited by 387 · see citing works
Resting brains never rest: computational insights into potential cognitive architectures
Deco, G., Jirsa, V., & McIntosh, A. R. (2013) · Trends in Neurosciences · doi:10.1016/j.tins.2013.03.001 · Cited by 368 · see citing works
The future of fMRI connectivity
Smith, S. M. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.022 · Cited by 355 · see citing works
Using Diffusion Imaging to Study Human Connectional Anatomy
Johansen‐Berg, H., & Rushworth, M. F. S. (2009) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.051508.135735 · Cited by 314 · see citing works
Operational principles of neurocognitive networks
Bressler, S. L., & Tognoli, E. (2006) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2005.12.008 · Cited by 259 · see citing works
Biomedical signal processing (in four parts)
Challis, R. E., & Kitney, R. I. (1991) · Medical & Biological Engineering & Computing · doi:10.1007/bf02446704 · Cited by 216 · see citing works
Adachi, Y., Osada, T., Sporns, O., Watanabe, T., Matsui, T., Miyamoto, K., & Miyashita, Y. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr234 · Cited by 211 · see citing works
On How Network Architecture Determines the Dominant Patterns of Spontaneous Neural Activity
Galán, R. F. (2008) · PLoS ONE · doi:10.1371/journal.pone.0002148 · Cited by 191 · see citing works
Combining structural and functional neuroimaging data for studying brain connectivity: A review
Rykhlevskaia, E. I., Gratton, G., & Fabiani, M. (2007) · Psychophysiology · doi:10.1111/j.1469-8986.2007.00621.x · Cited by 188 · see citing works
Modeling the outcome of structural disconnection on resting-state functional connectivity
Cabral, J., Hugues, E., Kringelbach, M. L., & Deco, G. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.06.007 · Cited by 182 · see citing works
Biomedical signal processing (in four parts)
Challis, R. E., & Kitney, R. I. (1990) · Medical & Biological Engineering & Computing · doi:10.1007/bf02442601 · Cited by 150 · see citing works
Structural human brain networks
Dell’Acqua, F., & Catani, M. (2012) · Current Opinion in Neurology · doi:10.1097/wco.0b013e328355d544 · Cited by 113 · see citing works
A coupled ordinary differential equation lattice model for the simulation of epileptic seizures
Larter, R. M., Speelman, B., & Worth, R. M. (1999) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.166453 · Cited by 98 · see citing works
Biophysical network models and the human connectome
Woolrich, M. W., & Stephan, K. E. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.03.059 · Cited by 78 · see citing works
Defining Neurocognitive Networks in the BOLD New World of Computed Connectivity
Mesulam, M. M. (2009) · Neuron · doi:10.1016/j.neuron.2009.04.001 · Cited by 69 · see citing works
Computational models of the brain: From structure to function
Breakspear, M. J., Jirsa, V., & Deco, G. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.05.061 · Cited by 54 · see citing works
Network assemblies in the functional brain
Sepulcre, J., Sabuncu, M. R., & Johnson, K. A. (2012) · Current Opinion in Neurology · doi:10.1097/wco.0b013e328355a8e8 · Cited by 42 · see citing works
Li, L., Rilling, J. K., Preuss, T. M., Glasser, M. F., Damen, F. W., & Hu, X. P. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.071 · Cited by 39 · see citing works
Davies, M., & Suggett, A. (1972) · Royal Society of Chemistry eBooks · doi:10.1039/9781847555878-00100 · Cited by 36 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Linking Structure and Function in Macroscale Brain Networks
Suárez, L. E., Markello, R. D., Betzel, R. F., & Mišić, B. (2020) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2020.01.008 · Cited by 745 · see citing works
Functional connectivity dynamics: modeling the switching behavior of the resting state
Hansen, E. C. A., Battaglia, D., Spiegler, A., Deco, G., & Jirsa, V. K. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2014.11.001 · Cited by 528 · see citing works
Gradients of structure–function tethering across neocortex
Vázquez-Rodríguez, B., Suárez, L. E., Markello, R. D., Shafiei, G., Paquola, C., Hagmann, P., van den Heuvel, M. P., Bernhardt, B. C., Spreng, R. N., & Mišić, B. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1903403116 · Cited by 458 · see citing works
Grayson, D. S., & Fair, D. A. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.01.079 · Cited by 411 · see citing works
“Interregional FC arises from anatomical projection strengths (Messe et al., 2014; Shen et al., 2012), correlated gene expression (Richiardi et al., 2015), and synaptic receptor densities (Turk et al., 2016; van den Heuvel et al., 2016b) – properties that, in turn, undergo experience-dependent and…”
BackgroundInfluentialHow Local Excitation-Inhibition Ratio Impacts the Whole Brain Dynamics
Deco, G., Ponce‐Alvarez, A., Hagmann, P., Romani, G. L., Mantini, D., & Corbetta, M. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.5068-13.2014 · Cited by 378 · see citing works
Cabral, J., Kringelbach, M. L., & Deco, G. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.03.045 · Cited by 353 · see citing works
Trait and state anxiety are mapped differently in the human brain
Saviola, F., Pappaianni, E., Monti, A., Grecucci, A., Jovicich, J., & Pisapia, N. D. (2020) · Scientific Reports · doi:10.1038/s41598-020-68008-z · Cited by 319 · see citing works
Network-Level Structure-Function Relationships in Human Neocortex
Mišić, B., Betzel, R. F., de Reus, M. A., van den Heuvel, M. P., Berman, M. G., McIntosh, A. R., & Sporns, O. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw089 · Cited by 277 · see citing works
Dynamic coupling of whole-brain neuronal and neurotransmitter systems
Kringelbach, M. L., Cruzat, J., Cabral, J., Knudsen, G. M., Carhart-Harris, R. L., Whybrow, P. C., Logothetis, N. K., & Deco, G. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1921475117 · Cited by 279 · see citing works
Structural disconnections explain brain network dysfunction after stroke
Griffis, J. C., Metcalf, N. V., Corbetta, M., & Shulman, G. L. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.07.100 · Cited by 213 · see citing works
Deco, G., Cruzat, J., Cabral, J., Knudsen, G. M., Carhart-Harris, R. L., Whybrow, P. C., Logothetis, N. K., & Kringelbach, M. L. (2018) · Current Biology · doi:10.1016/j.cub.2018.07.083 · Cited by 202 · see citing works
Hellyer, P. J., Scott, G., Shanahan, M., Sharp, D. J., & Leech, R. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.4648-14.2015 · Cited by 187 · see citing works
Hasson, U., Egidi, G., Marelli, M., & Willems, R. M. (2018) · Cognition · doi:10.1016/j.cognition.2018.06.018 · Cited by 157 · see citing works
Grayson, D. S., Bliss-Moreau, E., Machado, C. J., Bennett, J., Shen, K., Grant, K. A., Fair, D. A., & Amaral, D. G. (2016) · Neuron · doi:10.1016/j.neuron.2016.06.005 · Cited by 172 · see citing works
Network structure shapes spontaneous functional connectivity dynamics
Shen, K., Hutchison, R. M., Bezgin, G., Everling, S., & McIntosh, A. R. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.4903-14.2015 · Cited by 171 · see citing works
Gilson, M., Moreno‐Bote, R., Ponce‐Alvarez, A., Ritter, P., & Deco, G. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004762 · Cited by 163 · see citing works
A Mapping Between Structural and Functional Brain Networks
Meier, J. M., Tewarie, P. K. B., Hillebrand, A., Douw, L., van Dijk, B. W., Stufflebeam, S. M., & Mieghem, P. V. (2016) · Brain Connectivity · doi:10.1089/brain.2015.0408 · Cited by 141 · see citing works
Stiso, J., Khambhati, A. N., Menara, T., Kahn, A. E., Stein, J. M., Das, S. R., Gorniak, R., Tracy, J. I., Litt, B., Davis, K. A., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2019.08.008 · Cited by 133 · see citing works
Complex Brain Network Analysis and Its Applications to Brain Disorders: A Survey
Liu, J., Li, M., Pan, Y. F., Lan, W., Zheng, R., Wu, F., & Wang, J. (2017) · Complexity · doi:10.1155/2017/8362741 · Cited by 141 · see citing works
Chen, B., Xu, T., Zhou, C., Wang, L., Yang, N., Wang, Z., Dong, H.-M., Yang, Z., Zang, Y., Zuo, X., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0144963 · Cited by 136 · see citing works
Fukushima, M., Betzel, R. F., He, Y., van den Heuvel, M. P., Zuo, X., & Sporns, O. (2017) · Brain Structure and Function · doi:10.1007/s00429-017-1539-3 · Cited by 136 · see citing works
Structure-function coupling in the human connectome: A machine learning approach
Sarwar, T., Tian, Y., Yeo, B. T. T., Ramamohanarao, K., & Zalesky, A. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117609 · Cited by 134 · see citing works
Learning function from structure in neuromorphic networks
Suárez, L. E., Richards, B. A., Lajoie, G., & Mišić, B. (2021) · Nature Machine Intelligence · doi:10.1038/s42256-021-00376-1 · Cited by 132 · see citing works
A novel brain partition highlights the modular skeleton shared by structure and function
Diez, I. P., Bonifazi, P., Escudero, I., Goñi, B. M., Muñoz, M. A., Stramaglia, S., & Cortés, J. M. (2015) · Scientific Reports · doi:10.1038/srep10532 · Cited by 126 · see citing works
Effects of lesions on synchrony and metastability in cortical networks
Váša, F., Shanahan, M., Hellyer, P. J., Scott, G., Cabral, J., & Leech, R. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.05.042 · Cited by 115 · see citing works
Stable long-range interhemispheric coordination is supported by direct anatomical projections
Shen, K., Mišić, B., Cipollini, B., Bezgin, G., Buschkuehl, M., Hutchison, R. M., Jaeggi, S. M., Kross, E. F., Peltier, S., Everling, S., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1503436112 · Cited by 114 · see citing works
Seguin, C., Tian, Y., & Zalesky, A. (2020) · Network Neuroscience · doi:10.1162/netn_a_00161 · Cited by 114 · see citing works
Jobst, B., Hindriks, R., Laufs, H., Tagliazucchi, E., Hahn, G., Ponce‐Alvarez, A., Stevner, A. B. A., Kringelbach, M. L., & Deco, G. (2017) · Scientific Reports · doi:10.1038/s41598-017-04522-x · Cited by 114 · see citing works
Controversies and progress on standardization of large-scale brain network nomenclature
Uddin, L. Q., Betzel, R. F., Cohen, J. R., Damoiseaux, J. S., Brigard, F. D., Eickhoff, S. B., Fornito, A., Gratton, C., Gordon, E. M., Laird, A. R., et al. (2023) · Network Neuroscience · doi:10.1162/netn_a_00323 · Cited by 119 · see citing works
Finger, H., Bönstrup, M., Cheng, B., Messé, A., Hilgetag, C. C., Thomalla, G., Gerloff, C. P., & Peter König, B. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005025 · Cited by 105 · see citing works
Self-citationMessé, A., Rudrauf, D., Giron, A., & Marrelec, G. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.02.001 · Cited by 104 · see citing works
Self-citationA brain-wide functional map of the serotonergic responses to acute stress and fluoxetine
Grandjean, J., Corcoba, A., Kahn, M. C., Upton, A. L., Deneris, E. S., Seifritz, E., Helmchen, F., Mansuy, I. M., Mann, E. O., Rudin, M., et al. (2019) · Nature Communications · doi:10.1038/s41467-018-08256-w · Cited by 98 · see citing works
Hellyer, P. J., Jachs, B., Claudia Clopath, A., & Leech, R. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.08.069 · Cited by 95 · see citing works
Zimmermann, J., Ritter, P., Shen, K., Rothmeier, S., Schirner, M., & McIntosh, A. R. (2016) · Human Brain Mapping · doi:10.1002/hbm.23200 · Cited by 92 · see citing works
Keilholz, S. D., Caballero‐Gaudes, C., Bandettini, P. A., Deco, G., & Calhoun, V. D. (2017) · Brain Connectivity · doi:10.1089/brain.2017.0543 · Cited by 94 · see citing works
Chase, H. W., Clos, M., Dibble, S. M., Fox, P. M., Grace, A. A., Phillips, M. L., & Eickhoff, S. B. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.02.069 · Cited by 86 · see citing works
Comorbidity of reading disabilities and ADHD: Structural and functional brain characteristics
Langer, N., Benjamin, C. F. A., Becker, B. L. C., & Gaab, N. (2019) · Human Brain Mapping · doi:10.1002/hbm.24552 · Cited by 95 · see citing works
Gibb, B. E., McGeary, J. E., & Beevers, C. G. (2015) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32383 · Cited by 88 · see citing works
Individual structural features constrain the mouse functional connectome
Melozzi, F., Bergmann, E., Harris, J. A., Kahn, I., Jirsa, V., & Bernard, C. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1906694116 · Cited by 86 · see citing works
Optimal control based seizure abatement using patient derived connectivity
Taylor, P. N., Thomas, J., Sinha, N., Dauwels, J., Kaiser, M., Thesen, T., & Ruths, J. (2015) · Frontiers in Neuroscience · doi:10.3389/fnins.2015.00202 · Cited by 87 · see citing works
Personalized brain network models for assessing structure–function relationships
Bansal, K., Nakuci, J., & Muldoon, S. F. (2018) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2018.04.014 · Cited by 81 · see citing works
Linking Functional Connectivity and Structural Connectivity Quantitatively: A Comparison of Methods
Huang, H., & Ding, M. (2015) · Brain Connectivity · doi:10.1089/brain.2015.0382 · Cited by 84 · see citing works
Multistability in Large Scale Models of Brain Activity
Golos, M., Jirsa, V., & Daucé, E. (2015) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004644 · Cited by 78 · see citing works
Quantum effects in the brain: A review
Adams, B., & Petruccione, F. (2020) · AVS Quantum Science · doi:10.1116/1.5135170 · Cited by 80 · see citing works
Park, B., de Wael, R. V., Paquola, C., Larivière, S., Benkarim, O. M., Royer, J., Tavakol, S., Rodríguez‐Cruces, R., Li, Q., Valk, S. L., et al. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.117429 · Cited by 76 · see citing works
Cerebral functional connectivity periodically (de)synchronizes with anatomical constraints
Liégeois, R., Ziegler, E., Phillips, C. L. M., Geurts, P., Gómez, F. A., Bahri, M. A., Yeo, B. T. T., Soddu, A., Vanhaudenhuyse, A., Laureys, S., et al. (2015) · Brain Structure and Function · doi:10.1007/s00429-015-1083-y · Cited by 73 · see citing works
NODDI and Tensor-Based Microstructural Indices as Predictors of Functional Connectivity
Deligianni, F., Carmichael, D. W., Zhang, H. G., Clark, C. A., & Clayden, J. D. (2016) · PLoS ONE · doi:10.1371/journal.pone.0153404 · Cited by 73 · see citing works
Neuronal Origin of the Temporal Dynamics of Spontaneous BOLD Activity Correlation
Matsui, T., Murakami, T., & Ohki, K. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhy045 · Cited by 75 · see citing works
Rudrauf, D. (2014) · Advances in Neuroscience · doi:10.1155/2014/462765 · Cited by 74 · see citing works
Self-citationLim, S. I., Radicchi, F., van den Heuvel, M. P., & Sporns, O. (2019) · Scientific Reports · doi:10.1038/s41598-019-39243-w · Cited by 71 · see citing works
Nonequilibrium brain dynamics as a signature of consciousness
Perl, Y. S., Bocaccio, H., Pallavicini, C., Ipiña, I. P., Laureys, S., Laufs, H., Kringelbach, M. L., Deco, G., & Tagliazucchi, E. (2021) · Physical review. E · doi:10.1103/physreve.104.014411 · Cited by 73 · see citing works
Gilson, M., Deco, G., Friston, K. J., Hagmann, P., Mantini, D., Betti, V., Romani, G. L., & Corbetta, M. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.09.061 · Cited by 72 · see citing works
Khalili‐Mahani, N., Rombouts, S. A. R. B., van Osch, M. J. P., Duff, E. P., Carbonell, F., Nickerson, L. D. H., Becerra, L. R., Dahan, A., Evans, A. C., Soucy, J., et al. (2017) · Human Brain Mapping · doi:10.1002/hbm.23516 · Cited by 61 · see citing works
Modeling regional changes in dynamic stability during sleep and wakefulness
Ipiña, I. P., Kehoe, P. D., Kringelbach, M. L., Laufs, H., Ibáñez, A. M., Deco, G., Perl, Y. S., & Tagliazucchi, E. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116833 · Cited by 67 · see citing works
A Bayesian Approach for Estimating Dynamic Functional Network Connectivity in fMRI Data
Warnick, R., Guindani, M., Erhardt, E. B., Allen, E. A., Calhoun, V. D., & Vannucci, M. (2017) · Journal of the American Statistical Association · doi:10.1080/01621459.2017.1379404 · Cited by 64 · see citing works
Structural-functional brain network coupling predicts human cognitive ability
Popp, J. L., Thiele, J. A., Faskowitz, J., Seguin, C., Sporns, O., & Hilger, K. (2024) · NeuroImage · doi:10.1016/j.neuroimage.2024.120563 · Cited by 63 · see citing works
A graph neural network framework for causal inference in brain networks
Wein, S., Malloni, W. M., Tomé, A. M., Frank, S., Henze, G., Wüst, S., Greenlee, M. W., & Lang, E. W. (2021) · Scientific Reports · doi:10.1038/s41598-021-87411-8 · Cited by 63 · see citing works
Messé, A., Hütt, M. ‐., Peter König, B., & Hilgetag, C. C. (2015) · Scientific Reports · doi:10.1038/srep07870 · Cited by 62 · see citing works
Self-citationBettinardi, R. G., Deco, G., Karlaftis, V. M., van Hartevelt, T. J., Fernandes, H. M., Kourtzi, Z., Kringelbach, M. L., & Zamora‐López, G. (2017) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.4980099 · Cited by 59 · see citing works
Model-based whole-brain effective connectivity to study distributed cognition in health and disease
Gilson, M., Zamora‐López, G., Pallarés, V., Adhikari, M. H., Senden, M., Campo, A. T., Mantini, D., Corbetta, M., Deco, G., & Insabato, A. (2019) · Network Neuroscience · doi:10.1162/netn_a_00117 · Cited by 58 · see citing works
Deep sleep divides the cortex into opposite modes of anatomical–functional coupling
Tagliazucchi, E., Crossley, N. A., Bullmore, E. T., & Laufs, H. (2015) · Brain Structure and Function · doi:10.1007/s00429-015-1162-0 · Cited by 55 · see citing works
Kuceyeski, A. F., Jamison, K. W., Owen, J. P., Raj, A., & Mukherjee, P. (2019) · Human Brain Mapping · doi:10.1002/hbm.24713 · Cited by 49 · see citing works
Wu, H., Yan, H., Yang, Y., Xu, M., Shi, Y., Zeng, W., Li, J., Zhang, J., Chang, C., & Wang, N. (2020) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2020.00215 · Cited by 55 · see citing works
Linking functional connectivity and dynamic properties of resting-state networks
Lee, W. H., & Frangou, S. (2017) · Scientific Reports · doi:10.1038/s41598-017-16789-1 · Cited by 53 · see citing works
Understanding brain states across spacetime informed by whole-brain modelling
Vohryzek, J., Cabral, J., Vuust, P., Deco, G., & Kringelbach, M. L. (2022) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2021.0247 · Cited by 54 · see citing works
Deco, G., van Hartevelt, T. J., Fernandes, H. M., Stevner, A. B. A., & Kringelbach, M. L. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.10.047 · Cited by 46 · see citing works
Remote synchronization of amplitudes across an experimental ring of non-linear oscillators
Minati, L. (2015) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.4936791 · Cited by 49 · see citing works
A Perspective Roadmap for IoMT-Based Early Detection and Care of the Neural Disorder, Dementia
Juneja, S., Dhiman, G., Kautish, S., Viriyasitavat, W., & Yadav, K. (2021) · Journal of Healthcare Engineering · doi:10.1155/2021/6712424 · Cited by 48 · see citing works
Panda, R., López‐González, A., Gilson, M., Gosseries, O., Thibaut, A., Frasso, G., Cecconi, B., Escrichs, A., Coma Science Group Collaborators, Deco, G., et al. (2023) · Human Brain Mapping · doi:10.1002/hbm.26386 · Cited by 46 · see citing works
The road ahead in clinical network neuroscience
Douw, L., van Dellen, E., Gouw, A. A., Griffa, A., de Haan, W., van den Heuvel, M. P., Hillebrand, A., Mieghem, P. V., Nissen, I. A., Otte, W. M., et al. (2019) · Network Neuroscience · doi:10.1162/netn_a_00103 · Cited by 46 · see citing works
Kuceyeski, A. F., Shah, S. A., Dyke, J. P., Bickel, S., Abdelnour, F., Schiff, N. D., Voss, H. U., & Raj, A. (2016) · NeuroImage Clinical · doi:10.1016/j.nicl.2016.04.006 · Cited by 47 · see citing works
Pallarés, V., Insabato, A., Sanjuán, A., Kühn, S., Mantini, D., Deco, G., & Gilson, M. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.04.070 · Cited by 42 · see citing works
Alderson, T. H., Bokde, A. L. W., Kelso, J. A. S., Maguire, L., & Coyle, D. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.08.033 · Cited by 45 · see citing works
Beyond the disconnectivity hypothesis of schizophrenia
Rolls, E. T., Cheng, W., Gilson, M., Gong, W., Deco, G., Lo, C. Z., Yang, A. C., Tsai, S., Liu, M., Lin, C., et al. (2019) · Cerebral Cortex · doi:10.1093/cercor/bhz161 · Cited by 46 · see citing works
Arbabyazd, L., Shen, K., Wang, Z., Hofmann‐Apitius, M., Ritter, P., McIntosh, A. R., Battaglia, D. A., & Jirsa, V. (2021) · eNeuro · doi:10.1523/eneuro.0475-20.2021 · Cited by 44 · see citing works
Analytical Operations Relate Structural and Functional Connectivity in the Brain
Saggio, M. L., Ritter, P., & Jirsa, V. (2016) · PLoS ONE · doi:10.1371/journal.pone.0157292 · Cited by 43 · see citing works
Wada, A., Shizukuishi, T., Kikuta, J., Yamada, H., Watanabe, Y., Imamura, Y., Shinozaki, T., Dezawa, K., Haradome, H., & Abe, O. (2017) · Neuroradiology · doi:10.1007/s00234-017-1830-2 · Cited by 43 · see citing works
Resting state networks in empirical and simulated dynamic functional connectivity
Glomb, K., Ponce‐Alvarez, A., Gilson, M., Ritter, P., & Deco, G. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.07.065 · Cited by 42 · see citing works
Nagaratnam, J. M., Sharmin, S., Diker, A., Lim, W. K., & Maier, A. B. (2020) · Clinical Gerontologist · doi:10.1080/07317115.2020.1756021 · Cited by 40 · see citing works
Saenger, V. M., Ponce‐Alvarez, A., Adhikari, M. H., Hagmann, P., Deco, G., & Corbetta, M. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx176 · Cited by 36 · see citing works
Wein, S., Deco, G., Tomé, A. M., Goldhacker, M., Malloni, W. M., Greenlee, M. W., & Lang, E. W. (2021) · Computational Intelligence and Neuroscience · doi:10.1155/2021/5573740 · Cited by 38 · see citing works
Perl, Y. S., Escrichs, A., Tagliazucchi, E., Kringelbach, M. L., & Deco, G. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1010662 · Cited by 37 · see citing works
Mills, B. D., Grayson, D. S., Shunmugavel, A., Miranda-Domínguez, Ó., Feczko, E., Earl, E., Neve, K. A., & Fair, D. A. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.2910-17.2018 · Cited by 33 · see citing works
The role of node dynamics in shaping emergent functional connectivity patterns in the brain
Forrester, M., Crofts, J. J., Sotiropoulos, S. N., Coombes, S., & O’Dea, R. D. (2020) · Network Neuroscience · doi:10.1162/netn_a_00130 · Cited by 36 · see citing works
Generative Embeddings of Brain Collective Dynamics Using Variational Autoencoders
Perl, Y. S., Bocaccio, H., Ipiña, I. P., Zamberlán, F., Piccinini, J., Laufs, H., Kringelbach, M. L., Deco, G., & Tagliazucchi, E. (2020) · Physical Review Letters · doi:10.1103/physrevlett.125.238101 · Cited by 37 · see citing works
Domhof, J. W. M., Jung, K., Eickhoff, S. B., & Popovych, O. V. (2021) · Network Neuroscience · doi:10.1162/netn_a_00202 · Cited by 37 · see citing works
Vohryzek, J., Cabral, J., Castaldo, F., Perl, Y. S., Lord, L.-D., Fernandes, H. M., Vladimir Litvak, A., Kringelbach, M. L., & Deco, G. (2022) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2022.11.060 · Cited by 36 · see citing works
Fukushima, M., & Sporns, O. (2020) · Communications Biology · doi:10.1038/s42003-020-01331-3 · Cited by 33 · see citing works
Toward a theory of coactivation patterns in excitable neural networks
Messé, A., Hütt, M. ‐., & Hilgetag, C. C. (2018) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006084 · Cited by 32 · see citing works
Self-citationQuantitative evaluation of simulated functional brain networks in graph theoretical analysis
Lee, W. H., Bullmore, E. T., & Frangou, S. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.08.050 · Cited by 34 · see citing works
Senden, M., Reuter, N., van den Heuvel, M. P., Goebel, R., Deco, G., & Gilson, M. (2017) · Human Brain Mapping · doi:10.1002/hbm.23913 · Cited by 32 · see citing works
Functional Connectivity’s Degenerate View of Brain Computation
Marrelec, G., Messé, A., Giron, A., & Rudrauf, D. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1005031 · Cited by 30 · see citing works
Self-citationNetwork analysis of whole-brain fMRI dynamics: A new framework based on dynamic communicability
Gilson, M., Kouvaris, N. E., Deco, G., Mangin, J., Poupon, C., Lefranc, S., Rivière, D., & Zamora‐López, G. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116007 · Cited by 29 · see citing works
Integrative Bayesian Analysis of Brain Functional Networks Incorporating Anatomical Knowledge
Higgins, I., Kundu, S., & Guo, Y. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.07.015 · Cited by 32 · see citing works
Space-independent community and hub structure of functional brain networks
Esfahlani, F. Z., Bertolero, M. A., Bassett, D. S., & Betzel, R. F. (2020) · NeuroImage · doi:10.1016/j.neuroimage.2020.116612 · Cited by 30 · see citing works
Relating Structural and Functional Connectivity in MRI: A Simple Model for a Complex Brain
Messé, A., Benali, H., & Marrelec, G. (2014) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2014.2341732 · Cited by 25 · see citing works
Self-citationGlobal features of functional brain networks change with contextual disorder
Andric, M., & Hasson, U. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.05.025 · Cited by 28 · see citing works
Inter-subject and inter-parcellation variability of resting-state whole-brain dynamical modeling
Popovych, O. V., Jung, K., Manos, T., Diaz-Pier, S., Hoffstaedter, F., Schreiber, J., Yeo, B. T. T., & Eickhoff, S. B. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118201 · Cited by 26 · see citing works
Comparing structure–function relationships in brain networks using EEG and fNIRS
Blanco, R., Preti, M. G., Koba, C., Ville, D. V. D., & Crimi, A. (2024) · Scientific Reports · doi:10.1038/s41598-024-79817-x · Cited by 27 · see citing works
Wein, S., Schüller, A., Tomé, A. M., Malloni, W. M., Greenlee, M. W., & Lang, E. W. (2022) · Network Neuroscience · doi:10.1162/netn_a_00252 · Cited by 25 · see citing works
- Authors
- Messé, A., Rudrauf, D., Benali, H., & Marrelec, G.
- Affiliations
- Inserm (FR)
- Corresponding author
- Messé, Arnaud
- Venue
- PLoS Computational Biology
- Publisher
- Public Library of Science (PLoS)
- Published
- 2014-03-20
- Volume
- 10
- Issue
- 3
- Pages
- e1003530
- ISSN
- 1553-734X (ISSN-L)
- 1553-7358
- PMC
- PMC3961181
- OpenAlex
- W2022159725
- Cited by
- 215
- References
- 57
- Citations by year
- 2026: 4 · 2025: 12 · 2024: 11 · 2023: 12 · 2022: 19 · 2021: 23 · 2020: 25 · 2019: 17 · 2018: 24 · 2017: 22 · 2016: 17 · 2015: 22 · 2014: 7
- FWCI
- 12.64
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS Computational Biology (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- HAL (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- Funders
- Princeton University
- Universitat Pompeu Fabra
- Institut National de la Santé et de la Recherche Médicale
- Université de Lausanne
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced MRI Techniques and Applications
- Keywords
- structure-function relationship, functional connectivity, resting-state fMRI, structural connectivity, non-stationary dynamics, fiber tractography, interhemispheric connections, indirect connections, diffusion-weighted imaging
- MeSH terms
- Adult, Brain, Brain Mapping, Computer Simulation, Female, Hemodynamics, Humans, Magnetic Resonance Imaging, Male, Models, Neurological, Nerve Net, Neural Pathways, Reproducibility of Results, Diffusion Magnetic Resonance Imaging, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
