Network controllability of structural connectomes in the neonatal brain
Author
Abstract
Suggested Citation
DOI: 10.1038/s41467-023-41499-w
Download full text from publisher
References listed on IDEAS
- Evelyn Tang & Chad Giusti & Graham L. Baum & Shi Gu & Eli Pollock & Ari E. Kahn & David R. Roalf & Tyler M. Moore & Kosha Ruparel & Ruben C. Gur & Raquel E. Gur & Theodore D. Satterthwaite & Danielle , 2017. "Developmental increases in white matter network controllability support a growing diversity of brain dynamics," Nature Communications, Nature, vol. 8(1), pages 1-16, December.
- Urs Braun & Anais Harneit & Giulio Pergola & Tommaso Menara & Axel Schäfer & Richard F. Betzel & Zhenxiang Zang & Janina I. Schweiger & Xiaolong Zhang & Kristina Schwarz & Junfang Chen & Giuseppe Blas, 2021. "Brain network dynamics during working memory are modulated by dopamine and diminished in schizophrenia," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
- Birk Diedenhofen & Jochen Musch, 2015. "cocor: A Comprehensive Solution for the Statistical Comparison of Correlations," PLOS ONE, Public Library of Science, vol. 10(4), pages 1-12, April.
- Shi Gu & Fabio Pasqualetti & Matthew Cieslak & Qawi K. Telesford & Alfred B. Yu & Ari E. Kahn & John D. Medaglia & Jean M. Vettel & Michael B. Miller & Scott T. Grafton & Danielle S. Bassett, 2015. "Controllability of structural brain networks," Nature Communications, Nature, vol. 6(1), pages 1-10, December.
- Yang-Yu Liu & Jean-Jacques Slotine & Albert-László Barabási, 2011. "Controllability of complex networks," Nature, Nature, vol. 473(7346), pages 167-173, May.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- S. Parker Singleton & Andrea I. Luppi & Robin L. Carhart-Harris & Josephine Cruzat & Leor Roseman & David J. Nutt & Gustavo Deco & Morten L. Kringelbach & Emmanuel A. Stamatakis & Amy Kuceyeski, 2022. "Receptor-informed network control theory links LSD and psilocybin to a flattening of the brain’s control energy landscape," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
- Guilherme Ramos & Sérgio Pequito, 2020. "Generating complex networks with time-to-control communities," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-12, August.
- Tu, Jin-cheng & Lu, Hou-qing & Lu, Tian-ming & Xie, Zong-qiao & Lu, Lei & Wei, Lingxiang, 2024. "A graphical criterion for the controllability in temporal networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 646(C).
- Anthony Evans & Willem Sleegers & Žan Mlakar, 2020. "Individual differences in receptivity to scientific bullshit," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 15(3), pages 401-412, May.
- Andreas Koulouris & Ioannis Katerelos & Theodore Tsekeris, 2013. "Multi-Equilibria Regulation Agent-Based Model of Opinion Dynamics in Social Networks," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 11(1), pages 51-70.
- He, He & Yang, Bo & Hu, Xiaoming, 2016. "Exploring community structure in networks by consensus dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 450(C), pages 342-353.
- Walters, William H., 2017. "Do subjective journal ratings represent whole journals or typical articles? Unweighted or weighted citation impact?," Journal of Informetrics, Elsevier, vol. 11(3), pages 730-744.
- Ellinas, Christos & Allan, Neil & Johansson, Anders, 2016. "Project systemic risk: Application examples of a network model," International Journal of Production Economics, Elsevier, vol. 182(C), pages 50-62.
- Yang, Hyeonchae & Jung, Woo-Sung, 2016. "Structural efficiency to manipulate public research institution networks," Technological Forecasting and Social Change, Elsevier, vol. 110(C), pages 21-32.
- Maria Isabel García-Planas & Maria Victoria García-Camba, 2022. "Controllability of Brain Neural Networks in Learning Disorders—A Geometric Approach," Mathematics, MDPI, vol. 10(3), pages 1-13, January.
- Meng, Tao & Duan, Gaopeng & Li, Aming & Wang, Long, 2023. "Control energy scaling for target control of complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 167(C).
- Kevin Handtke & Lisa Richter-Beuschel & Susanne Bögeholz, 2022. "Self-Efficacy Beliefs of Teaching ESD: A Theory-Driven Instrument and the Effectiveness of ESD in German Teacher Education," Sustainability, MDPI, vol. 14(11), pages 1-32, May.
- Tao Jia & Robert F Spivey & Boleslaw Szymanski & Gyorgy Korniss, 2015. "An Analysis of the Matching Hypothesis in Networks," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-12, June.
- Yang, Xu-Hua & Lou, Shun-Li & Chen, Guang & Chen, Sheng-Yong & Huang, Wei, 2013. "Scale-free networks via attaching to random neighbors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(17), pages 3531-3536.
- Zhang, Rui & Wang, Xiaomeng & Cheng, Ming & Jia, Tao, 2019. "The evolution of network controllability in growing networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 520(C), pages 257-266.
- Wouter Vermeer & Otto Koppius & Peter Vervest, 2018. "The Radiation-Transmission-Reception (RTR) model of propagation: Implications for the effectiveness of network interventions," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-21, December.
- Chen, Shi-Ming & Xu, Yun-Fei & Nie, Sen, 2017. "Robustness of network controllability in cascading failure," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 536-539.
- Xizhe Zhang & Huaizhen Wang & Tianyang Lv, 2017. "Efficient target control of complex networks based on preferential matching," PLOS ONE, Public Library of Science, vol. 12(4), pages 1-10, April.
- Pang, Shao-Peng & Hao, Fei, 2018. "Effect of interaction strength on robustness of controlling edge dynamics in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 497(C), pages 246-257.
- Xian Xi & Xiangyun Gao & Xiaotian Sun & Huiling Zheng & Congcong Wu, 2024. "Dynamic analysis and application of network structure control in risk conduction in the industrial chain," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-13, December.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-41499-w. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.