Network control principles predict neuron function in the Caenorhabditis elegans connectome

Nature

Volumn 550, Issue 7677, 2017, Pages 519-523

  Yan, Gang ^a,b   Vértes, Petra E ^c   Towlson, Emma K ^a   Chew, Yee Lian ^a   Walker, Denise S ^a   Schafer, William R ^a   Barabási, Albert László ^a,d,e,f  

^a NORTHEASTERN UNIVERSITY   (United States)

^b TONGJI UNIVERSITY   (China)

^c UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^d MRC LABORATORY OF MOLECULAR BIOLOGY   (United Kingdom)

^e BRIGHAM AND WOMEN S HOSPITAL   (United States)

^f CENTRAL EUROPEAN UNIVERSITY   (Hungary)

Author keywords

[No Author keywords available]

Indexed keywords

ANALYTICAL FRAMEWORK; LOCOMOTION; MOVEMENT; NEMATODE; NEUROLOGY;

ARTICLE; BODY MOVEMENT; CAENORHABDITIS ELEGANS; CONNECTOME; COORDINATION; LASER SURGERY; LOCOMOTION; MOTONEURON; MOVEMENT (PHYSIOLOGY); NERVE CELL NETWORK; NEUROIMAGING; NEUROMUSCULAR JUNCTION; NONHUMAN; PREDICTION; PRIORITY JOURNAL; SENSORY NERVE CELL; SENSORY RECEPTOR; STRUCTURE ACTIVITY RELATION; TOUCH; ANIMAL; CLASSIFICATION; CYTOLOGY; LASER; NERVE CELL; PHYSIOLOGY; VALIDATION STUDY;

CAENORHABDITIS ELEGANS;

ANIMALS; CAENORHABDITIS ELEGANS; CONNECTOME; LASERS; LOCOMOTION; MOTOR NEURONS; NERVE NET; NEURONS;

EID: 85031788946     PISSN: 00280836     EISSN: 14764687     Source Type: Journal    
DOI: 10.1038/nature24056     Document Type: Article

References (30)

1. Caldarelli, G. Scale-Free Networks: Complex Webs in Nature and Technology (Oxford Univ. Press, 2007).
2. Cohen, R. & Havlin, S. Complex Networks: Structure, Robustness and Function (Cambridge Univ. Press, 2010).
3. Liu, Y.-Y. & Barabási, A.-L. Control principles of complex networks. Rev. Mod. Phys. 88, 035006 (2016).
4. White, J. G., Southgate, E., Thomson, J. N. & Brenner, S. The structure of the nervous system of the nematode Caenorhabditis elegans. Phil. Trans. R. Soc. Lond. B 314, 1-340 (1986).
5. Chen, B. L. J. Neuronal Network of C. elegans: From Anatomy to Behavior. PhD thesis, Cold Spring Harbor Laboratory (2007).
6. Varshney, L. R., Chen, B. L., Paniagua, E., Hall, D. H. & Chklovskii, D. B. Structural properties of the Caenorhabditis elegans neuronal network. PLoS Comput. Biol. 7, e1001066 (2011).
7. Chalfie, M. et al. The neural circuit for touch sensitivity in Caenorhabditis elegans. J. Neurosci. 5, 956-964 (1985).
8. Zhen, M. & Samuel, A. D. C. elegans locomotion: small circuits, complex functions. Curr. Opin. Neurobiol. 33, 117-126 (2015).
9. Bargmann, C. I. & Avery, L. Laser killing of cells in Caenorhabditis elegans. Methods Cell Biol. 48, 225-250 (1995).
10. Wicks, S. R. & Rankin, C. H. Integration of mechanosensory stimuli in Caenorhabditis elegans. J. Neurosci. 15, 2434-2444 (1995).
11. Tsalik, E. L. & Hobert, O. Functional mapping of neurons that control locomotory behavior in Caenorhabditis elegans. J. Neurobiol. 56, 178-197 (2003).
12. Wakabayashi, T., Kitagawa, I. & Shingai, R. Neurons regulating the duration of forward locomotion in Caenorhabditis elegans. Neurosci. Res. 50, 103-111 (2004).
13. Haspel, G., ODonovan, M. J. & Hart, A. C. Motoneurons dedicated to either forward or backward locomotion in the nematode Caenorhabditis elegans. J. Neurosci. 30, 11151-11156 (2010).
14. Gao, J., Liu, Y.-Y., DSouza, R. M. & Barabási, A.-L. Target control of complex networks. Nat. Commun. 5, 5415 (2014).
15. Coron, J.-M. Control and Nonlinearity (American Mathematical Society, 2009).
16. Whalen, A. J., Brennan, S. N., Sauer, T. D. & Schiff, S. J. Observability and controllability of nonlinear networks: The role of symmetry. Phys. Rev. X 5, 011005 (2015).
17. Muldoon, S. F. et al. Stimulation-based control of dynamic brain networks. PLoS Comput. Biol. 12, e1005076 (2016).
18. Kalman, R. E. Mathematical description of linear dynamical systems. J. Soc. Indus. Appl. Math. A 1, 152-192 (1963).
19. Chew, Y. L. et al. Recordings of Caenorhabditis elegans locomotor behaviour following targeted ablation of single motorneurons. Sci. Data 4, 170156 (2017).
20. Yemini, E., Jucikas, T., Grundy, L. J., Brown, A. E. & Schafer, W. R. A database of Caenorhabditis elegans behavioral phenotypes. Nat. Methods 10, 877-879 (2013).
21. Stephens, G. J., Johnson-Kerner, B., Bialek, W. & Ryu, W. S. Dimensionality and dynamics in the behavior of C. elegans. PLoS Comput. Biol. 4, e1000028 (2008).
22. Brown, A. E., Yemini, E. I., Grundy, L. J., Jucikas, T. & Schafer, W. R. A dictionary of behavioral motifs reveals clusters of genes affecting Caenorhabditis elegans locomotion. Proc. Natl Acad. Sci. USA 110, 791-796 (2013).
23. Gray, J. M., Hill, J. J. & Bargmann, C. I. A circuit for navigation in Caenorhabditis elegans. Proc. Natl Acad. Sci. USA 102, 3184-3191 (2005).
24. Huang, K. M., Cosman, P. & Schafer, W. R. Machine vision based detection of omega bends and reversals in C. elegans. J. Neurosci. Methods 158, 323-336 (2006).
25. Yan, G. et al. Spectrum of controlling and observing complex networks. Nat. Phys. 11, 779-786 (2015).
26. Gu, S. et al. Controllability of structural brain networks. Nat. Commun. 6, 8414 (2015).
27. Pósfai, M. & Hövel, P. Structural controllability of temporal networks. New J. Phys. 16, 123055 (2014).
28. Pan, Y. & Li, X. Structural controllability and controlling centrality of temporal networks. PLoS ONE 9, e94998 (2014).
29. Li, A., Cornelius, S. P., Liu, Y. Y., Wang, L. & Barabási, A. L. The fundamental advantages of temporal networks. arXiv, 1607.06168 (2016).
30. Driscoll, M. & Kaplan, J. in C. elegans II (Cold Spring Harbor monograph series 33) (eds Riddle, D. L. et al.) Ch. 23 (Cold Spring Harbor Laboratory Press, 1997).