Controllability of structural brain networks

Cited by (910)

Items 301–400 of 910

1. Optimal Control Costs of Brain State Transitions in Linear Stochastic Systems
   Shunsuke Kamiya, Genji Kawakita, Shuntaro Sasai, Jun Kitazono, Masafumi Oizumi · 2022 · Journal of Neuroscience
2. Minimum Cost Control of Directed Networks With Selectable Control Inputs
   Guoqi Li, Jie Ding, Changyun Wen, Jiangshuai Huang · 2018 · IEEE Transactions on Cybernetics
3. Data-Driven Model Reduction of Monotone Systems by Nonlinear DC Gains
   Yu Kawano, Bart Besselink, Jacquelien M. A. Scherpen, Ming Cao · 2019 · IEEE Transactions on Automatic Control
4. Bridging Brain and Cognition: A Multilayer Network Analysis of Brain Structural Covariance and General Intelligence in a Developmental Sample of Struggling Learners
   Ivan L. Simpson-Kent, Eiko I. Fried, Danyal Akarca, Silvana Mareva, Edward Thomas Bullmore, the CALM Team, Rogier Kievit · 2021 · Journal of Intelligence
5. Distributed functional connectivity predicts neuropsychological test performance among older adults
   Seyul Kwak, Hairin Kim, Hoyoung Kim, Yoosik Youm, Jeanyung Chey · 2021 · Human Brain Mapping
6. Cortical autonomic network connectivity predicts symptoms in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS)
   Mark A. Zinn, Leonard A. Jason · 2021 · International Journal of Psychophysiology
7. A tale of two targets: examining the differential effects of posterior cingulate cortex- and amygdala-targeted fMRI-neurofeedback in a PTSD pilot study
   Jonathan M. Lieberman, Daniela Rabellino, Maria Densmore, Paul Frewen, David Steyrl, Frank Scharnowski, Jean Théberge, Niki Hosseini‐Kamkar, Richard W. J. Neufeld, Rakesh Jetly et al. · 2023 · Frontiers in Neuroscience
8. Geometric Scaling Law in Real Neuronal Networks
   Xin-Ya Zhang, Jack Murdoch Moore, Xiaolei Ru, Gang Feng Yan · 2024 · Physical Review Letters
9. The Structured Controllability Radius of Symmetric (Brain) Networks
   Tommaso Menara, Vaibhav Katewa, Danielle S. Bassett, Fabio Pasqualetti · 2018 · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference
10. Harnessing networks and machine learning in neuropsychiatric care
    Eli J. Cornblath, David M. Lydon‐Staley, Danielle S. Bassett · 2019 · Current Opinion in Neurobiology
11. Making Sense of Computational Psychiatry
    Lilianne Rivka Mujica-Parodi, Helmut H. Strey · 2020 · The International Journal of Neuropsychopharmacology
12. The resting-state causal human connectome is characterized by hub connectivity of executive and attentional networks
    Eric Rawls, Erich Kummerfeld, Bryon A. Mueller, Sisi Ma, Anna Zilverstand · 2022 · NeuroImage
13. Disrupted dynamic local brain functional connectivity patterns in generalized anxiety disorder
    Qian Cui, Yuyan Chen, Qin Tang, Shaoqiang Han, Shan Hu, Yajing Pang, Fengmei Lu, Xiaoyu Nan, Wei Sheng, Qian Shen et al. · 2019 · Progress in Neuro-Psychopharmacology and Biological Psychiatry
14. Irrelevance of linear controllability to nonlinear dynamical networks
    Junjie Jiang, Ying‐Cheng Lai · 2019 · RePEc: Research Papers in Economics
15. Functional coupling between frontoparietal control subnetworks bridges the default and dorsal attention networks
    Shouhang Yin, Yilu Li, Antao Chen · 2022 · Brain Structure and Function
16. Controllability of Multilayer Snapback Networks
    Jiening Wu, Xiang Li, Guanrong Chen · 2022 · IEEE Transactions on Control of Network Systems
17. Major Problems in Clinical Psychological Science and How to Address them. Introducing a Multimodal Dynamical Network Approach
    Marlon Westhoff, Max Berg, Andreas Reif, Winfried Rief, Stefan G. Hofmann · 2024 · Cognitive Therapy and Research
18. Energy Associated With Dynamic Network Changes in Patients With Multiple Sclerosis and Cognitive Impairment
    Tommy A.A. Broeders, Maureen van Dam, Giuseppe Pontillo, Vasco Rauh, Linda Douw, Ysbrand D. van der Werf, Joep Killestein, Frederik Barkhof, Christiaan H. Vinkers, Menno Michiel Schoonheim · 2024 · Neurology
19. Principled Approaches to Direct Brain Stimulation for Cognitive Enhancement
    Vishnu Sreekumar, John H. Wittig, Timothy C. Sheehan, Kareem A. Zaghloul · 2017 · Frontiers in Neuroscience
20. Control of brain network dynamics across diverse scales of space and time
    Evelyn Tang, Harang Ju, Graham L. Baum, David R. Roalf, Theodore Daniel Satterthwaite, Fabio Pasqualetti, Danielle S. Bassett · 2020 · Physical review. E
21. Learning in brain-computer interface control evidenced by joint decomposition of brain and behavior
    Jennifer Stiso, Marie‐Constance Corsi, Jean M. Vettel, Javier O. Garcia, Fabio Pasqualetti, Fabrizio De Vico Fallani, Timothy H. Lucas, Danielle S. Bassett · 2020 · Journal of Neural Engineering
22. Toward Closed-Loop Electrical Stimulation of Neuronal Systems: A Review
    Jarno M. A. Tanskanen, Annika Ahtiainen, Jari Hyttinen · 2020 · Bioelectricity
23. Is there a “g-neuron”? Establishing a systematic link between general intelligence (g) and the von Economo neuron
    Oliver J. Bruton · 2021 · Intelligence
24. Key Nodes Selection in Controlling Complex Networks via Convex Optimization
    Jie Ding, Changyun Wen, Guoqi Li, Zhenghua Chen · 2019 · IEEE Transactions on Cybernetics
25. Neurotransmitter imbalance dysregulates brain dynamic fluidity in frontotemporal degeneration
    Alberto Benussi, Enrico Premi, Stefano Gazzina, Valentina Cantoni, Maria Sofia Cotelli, Marcello Giunta, Roberto Gasparotti, Vince D. Calhoun, Barbara Borroni · 2020 · Neurobiology of Aging
26. Automated Classification of Mild Cognitive Impairment by Machine Learning With Hippocampus-Related White Matter Network
    Zhou Yu, Xiaopeng Si, Yi‐Ping Chao, Yuanyuan Chen, Ching‐Po Lin, Sicheng Li, Xingjian Zhang, Yulin Sun, Dong Ming, Qiang Li · 2022 · Frontiers in Aging Neuroscience
27. Longitudinal association of executive function and structural network controllability in the aging brain
    Rongxiang Tang, Jeremy A. Elman, Carol E. Franz, Anders Martin Dale, Lisa T. Eyler, Christine Fennema‐Notestine, Donald J. Hagler, Michael J. Lyons, Matthew S. Panizzon, Olivia K. Puckett et al. · 2022 · GeroScience
28. Larger lesion volume in people with multiple sclerosis is associated with increased transition energies between brain states and decreased entropy of brain activity
    Ceren Tozlu, Sophie Card, Keith Wakefield Jamison, Susan A. Gauthier, Amy F. Kuceyeski · 2022 · Network Neuroscience
29. Optimizing Driver Nodes for Structural Controllability of Temporal Networks
    Manikya Valli Srighakollapu, Rachel Kalpana Kalaimani, Ramkrishna Pasumarthy · 2021 · IEEE Transactions on Control of Network Systems
30. A control theoretic approach to evaluate and inform ecological momentary interventions
    Fechtelpeter, Janik, Rauschenberg, Christian, Jamalabadi, Hamidreza, Boecking, Benjamin, van Amelsvoort, Therese, Reininghaus, Ulrich, Durstewitz, Daniel, Koppe, Georgia · 2023
31. Learning dynamic graph embeddings for accurate detection of cognitive state changes in functional brain networks
    Yi Lin, Defu Yang, Jia Hou, Chenggang Clarence Yan, Minjeong Kim, Paul J. Laurienti, Guorong Wu A · 2021 · NeuroImage
32. Flexible and Modular Brain Network Dynamics Characterize Flow Experiences During Media Use: A Functional Magnetic Resonance Imaging Study
    Richard Huskey, Justin Robert Keene, Shelby Wilcox, Xuanjun Gong, Robyn Adams, Christina Jimenez Najera · 2021 · Journal of Communication
33. Network controllability mediates the relationship between rigid structure and flexible dynamics
    Shi Gu, Panagiotis Fotiadis, Linden Parkes, Cedric Huchuan Xia, Ruben C. Gur, Raquel E. Gur, David R. Roalf, Theodore Daniel Satterthwaite, Danielle S. Bassett · 2021 · Network Neuroscience
34. Left Frontoparietal Control Network Connectivity Moderates the Effect of Amyloid on Cognitive Decline in Preclinical Alzheimer's Disease: The A4 Study
    Rory Thomas Boyle, Hannah M Klinger, Zahra Shirzadi, Gillian Coughlan, Mabel Seto, Michael J Properzi, Diana L Townsend, Zengqiang Yuan, Catherine E Scanlon, Roos J. Jutten et al. · 2024 · The Journal of Prevention of Alzheimer s Disease
35. A network neuroscience of neurofeedback for clinical translation
    Andrew C. Murphy, Danielle S. Bassett · 2017 · Current Opinion in Biomedical Engineering
36. Fragility and Controllability Tradeoff in Complex Networks
    Fabio Pasqualetti, Chiara Favaretto, Shiyu Zhao, Sandro Zampieri · 2018 · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference
37. Temporal modes of hub synchronization at rest
    Francesco de Pasquale, Sara Spadone, Viviana Betti, Maurizio Corbetta, Stefania Della Penna · 2021 · NeuroImage
38. Structure-function clustering in weighted brain networks
    Jonathan J. Crofts, Michael Forrester, Stephen Coombes, Reuben D. O’Dea · 2022 · Scientific Reports
39. Intrinsic brain dynamics in the Default Mode Network predict involuntary fluctuations of visual awareness
    Dian Lyu, Shruti Naik, David Krishna Menon, Emmanuel Andreas Stamatakis · 2022 · Nature Communications
40. Heterogeneity of central nodes explains the benefits of time-varying control scheduling in complex dynamical networks
    Erfan Nozari, Fabio Pasqualetti, Jorge Cortés · 2019 · Journal of Complex Networks
41. Effects of escitalopram therapy on functional brain controllability in major depressive disorder
    Feng Zhou Fang, Beata R. Godlewska, Raymond Y. Cho, Sean Isaac Savitz, Sudhakar Selvaraj, Yingchun Zhang · 2022 · Journal of Affective Disorders
42. Structure-function models of temporal, spatial, and spectral characteristics of non-invasive whole brain functional imaging
    Ashish Raj, Parul Verma, Srikantan S. Nagarajan · 2022 · Frontiers in Neuroscience
43. Structural and Functional Imaging Correlates of Visual Hallucinations in Parkinson’s Disease
    R. Bhome, G. E. C. Thomas, A. Zarkali, R. Weil · 2023 · Current Neurology and Neuroscience Reports
44. Anatomical and Functional Connectivity of Critical Deep Brain Structures and Their Potential Clinical Application in Brain Stimulation
    Qiao Kong, Valeria Saccà, Meixuan Zhu, Amy Katherine Ursitti, Jian Kong · 2023 · Journal of Clinical Medicine
45. Controlling brain dynamics: Landscape and transition path for working memory
    Leijun Ye, Jianfeng Feng, Chunhe Li · 2023 · PLoS Computational Biology
46. Functional brain networks involved in the Raven's standard progressive matrices task and their relation to theories of fluid intelligence
    Riley Zurrin, Samantha T. S. Wong, Meighen Roes, Chantal Marie Percival, Abhijit Mahesh Chinchani, Leo Arreaza, Mavis Kusi, Ava Momeni, Maiya Rasheed, Zhaoyi Mo et al. · 2024 · Intelligence
47. Sleep Deprivation Effects on Brain State Dynamics Are Associated With Dopamine D2 Receptor Availability Via Network Control Theory
    Rui Zhang, Şükrü Barış Demiral, Dardo G. Tomasi, Weizheng Yan, Peter Manza, Gene‐Jack Wang, Nora D. Volkow · 2024 · Biological Psychiatry
48. Neuronal Degeneration Impairs Rhythms Between Connected Microcircuits
    Samantha N. Schumm, David J. Gabrieli, David F. Meaney · 2020 · Frontiers in Computational Neuroscience
49. On the effects of memory and topology on the controllability of complex dynamical networks
    Panagiotis Kyriakis, Sérgio Pequito, Paul Bogdan · 2020 · Scientific Reports
50. Applications of optimal nonlinear control to a whole-brain network of FitzHugh-Nagumo oscillators
    Teresa Chouzouris, Nicolas Roth, Caglar Cakan, Klaus Obermayer · 2021 · Physical review. E
51. Alterations in white matter network dynamics in patients with schizophrenia and bipolar disorder
    Bin Wang, Shanshan Zhang, Xuexue Yu, Yan Niu, Jinliang Niu, Dandan Li, Shan Zhang, Jie Xiang, Ting Yan, Jiajia Yang et al. · 2022 · Human Brain Mapping
52. Minicolumn-Based Episodic Memory Model With Spiking Neurons, Dendrites and Delays
    Yun Zhang, Yi Chen, Jilun Zhang, Xiaoling Luo, Malu Zhang, Hong Qu, Yi Zhang · 2022 · IEEE Transactions on Neural Networks and Learning Systems
53. Functional reconfiguration of task-active frontoparietal control network facilitates abstract reasoning
    Thomas Morin, Kylie N Moore, Kylie Isenburg, Weida Ma, Chantal E. Stern · 2022 · Cerebral Cortex
54. Dynamic network properties of the superior temporal gyrus mediate the impact of brain age gap on chronic aphasia severity
    Janina Wilmskoetter, Natalie Busby, Xiaosong He, Lorenzo Caciagli, Rebecca Roth, Sigfus Kristinsson, Kathryn A. Davis, Chris Rorden, Dani S. Bassett, Julius Fridriksson et al. · 2023 · Communications Biology
55. Connectome-based predictive modeling of fluid intelligence: evidence for a global system of functionally integrated brain networks
    Ramsey R. Wilcox, Aron Keith Barbey · 2023 · Cerebral Cortex
56. Age-related differences in network controllability are mitigated by redundancy in large-scale brain networks
    William Stanford, Peter J. Mucha, Eran Dayan · 2024 · Communications Biology
57. Endogenous retroviruses in multiple sclerosis: A network-based etiopathogenic model
    Stefano T. Censi, Renato Mariani‐Costantini, Alberto Granzotto, Valentina Tomassini, Stefano Luca Sensi · 2024 · Ageing Research Reviews
58. The topology and geometry of neural representations
    Baihan Lin, Nikolaus Kriegeskorte · 2024 · Proceedings of the National Academy of Sciences
59. Stereotypical modulations in dynamic functional connectivity explained by changes in BOLD variance
    Katharina Glomb, Adrián Ponce‐Alvarez, Matthieu Gilson, Petra Ritter, Gustavo Deco · 2017 · NeuroImage
60. Path-dependent connectivity, not modularity, consistently predicts controllability of structural brain networks
    Shubhankar P. Patankar, Jason Z. Kim, Fabio Pasqualetti, Danielle S. Bassett · 2020 · Network Neuroscience
61. Network neuroscience and the connectomics revolution
    Richard F. Betzel · 2021 · Elsevier eBooks
62. Multi-tasking deep network for tinnitus classification and severity prediction from multimodal structural MR images
    Chieh‐Te Lin, Sanjay Ghosh, Leighton B. N. Hinkley, Corby L. Dale, Ana Cláudia Silva de Souza, Jennifer Henderson Sabes, Christopher Paul Hess, Meredith E. Adams, Steven W. Cheung, Srikantan S. Nagarajan · 2022 · Journal of Neural Engineering
63. The Roles of Input Matrix and Nodal Dynamics in Network Controllability
    Baoyu Hou, Xiang Li, Guanrong Chen · 2017 · IEEE Transactions on Control of Network Systems
64. A Computational Network Control Theory Analysis of Depression Symptoms
    Yoed Nissan Kenett, Roger E. Beaty, John Dominic Medaglia · 2018 · Personality Neuroscience
65. A broadband method of quantifying phase synchronization for discriminating seizure EEG signals
    Lei Wang, Xi Long, Ronald M. Aarts, Johannes P. van Dijk, Johan B. A. M. Arends · 2018 · Biomedical Signal Processing and Control
66. Direct brain stimulation during episodic memory
    Youssef Ezzyat, Daniel S. Rizzuto · 2018 · Current Opinion in Biomedical Engineering
67. Target control based on edge dynamics in complex networks
    Furong Lu, Yang Kaikai, Yuhua Qian · 2020 · Scientific Reports
68. The dynamic basis of cognition: an integrative core under the control of the ascending neuromodulatory system
    James M. Shine, Michael J Breakspear, Peter T. Bell, Kaylena A. Ehgoetz Martens, Richard Shine, Sanmi Koyejo, Olaf Sporns, Russell Alan Poldrack · 2018 · bioRxiv (Cold Spring Harbor Laboratory)
69. On the nature of explanations offered by network science: A perspective from and for practicing neuroscientists
    Maxwell A. Bertolero, Danielle S. Bassett · 2019
70. Minimal reachability problems
    Vasileios Tzoumas, Ali Jadbabaie, George J. Pappas · 2015 · IEEE Conference on Decision and Control (CDC)
71. The missing role of gray matter in studying brain controllability
    Hamidreza Jamalabadi, Agnieszka Zuberer, Vinod Kumar, Meng Li, Sarah Alizadeh, Ali Moradi Amani, Christian Gaser B, Michael S. Esterman, Martin Walter · 2020 · Network Neuroscience
72. Controllability of Structural Brain Networks and the Waxing and Waning of Negative Affect in Daily Life
    Amanda L. McGowan, Linden Parkes, Xiaosong He, Ovidia A. Stanoi, Yoona Kang, Silicia Lomax, Mia Jovanova, Peter J. Mucha, Kevin N. Ochsner, Emily B. Falk et al. · 2021 · Biological Psychiatry Global Open Science
73. Learning the Architectural Features That Predict Functional Similarity of Neural Networks
    Adam Haber, Elad Schneidman · 2022 · Physical Review X
74. The control patterns of affective processing and cognitive reappraisal: insights from brain controllability analysis
    Feng Zhou Fang, Antônio Lúcio Teixeira, Rihui Li, Ling Zou, Yingchun Zhang · 2024 · Cerebral Cortex
75. The anatomical scaffold underlying the functional centrality of known cortical hubs
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76. Altered network stability in progressive supranuclear palsy
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77. Why temporal networks are more controllable: Link weight variation offers superiority
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78. The Fundamental Code Unit of the Brain: Towards a New Model for Cognitive Geometry
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79. Brain modeling for control: A review
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80. Neuroplasticity in the language system: Reorganization in post-stroke aphasia and in neuromodulation interventions
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81. Dynamics of functional network organization through graph mixture learning
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82. Controllability Analysis of Functional Brain Networks
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83. Physical Network Constraints Define the Multiplicative Architecture of the Brain’s Connectome
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84. Optimal Control in Soft and Active Matter
    José Alvarado, Erin G. Teich, David A. Sivak, John Bechhoefer · 2026 · Annual Review of Condensed Matter Physics
85. Longitudinal manganese‐enhanced magnetic resonance imaging of neural projections and activity
    Taylor W. Uselman, Christopher S. Medina, Harry B. Gray, Russell E. Jacobs, Elaine L. Bearer · 2022 · NMR in Biomedicine
86. Simplicial cascades are orchestrated by the multidimensional geometry of neuronal complexes
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87. Alprazolam modulates persistence energy during emotion processing in first-degree relatives of individuals with schizophrenia: a network control study
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88. Tissues as networks of cells: towards generative rules of complex organ development
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89. Heterogeneity of dynamic synergetic configurations of salience network in children with autism spectrum disorder
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90. Enhancing neural encoding models for naturalistic perception with a multi-level integration of deep neural networks and cortical networks
    Yuanning Li, Huzheng Yang, Shi Gu · 2024 · 中国科学通报：英文版
91. Amygdala self-neuromodulation capacity as a window for process-related network recruitment
    Guy Gurevitch, Nitzan Lubianiker, Taly Markovits, Ayelet Or‐Borichev, Haggai Sharon, Naomi B. Fine, Tom Fruchtman-Steinbok, Jackob Nimrod Keynan, Moni Shahar, Alon Friedman et al. · 2024 · Philosophical Transactions of the Royal Society B Biological Sciences
92. Controllability and fraction of leaders in infinite networks
    Chinwendu Enyioha, M. Amin Rahimian, George J. Pappas, Ali Jadbabaie · 2014 · IEEE Conference on Decision and Control (CDC)
93. Brain controllability and morphometry similarity of internet gaming addiction
    Wei In Lei, Xu Han, Xuchen Yu, Yawen Sun, Ming Ding, Yasong Du, Wenqing Jiang, Yan Zhou, He Wang · 2020 · Methods
94. Information content of brain states is explained by structural constraints on state energetics
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95. Adaptive Internal Models in Neuroscience
    Mireille E. Broucke · 2022 · Foundations and Trends® in Systems and Control
96. Sparsity-Inspired Optimal Topology Control of Complex Networks
    Jie Ding, Changyun Wen, Guoqi Li, Xulei Yang, Tianjiang Hu · 2019 · IEEE Transactions on Network Science and Engineering
97. ENERGY COST FOR TARGET CONTROL OF COMPLEX NETWORKS
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98. Higher-order models capture changes in controllability of temporal networks
    Yan Zhang, Antonios Garas, Ingo Scholtes · 2021 · Repository for Publications and Research Data (ETH Zurich)
99. System identification methods for dynamic models of brain activity
    Tristan D. Griffith, James E. Hubbard · 2021 · Biomedical Signal Processing and Control
100. Circular and unified analysis in network neuroscience
     Mikail Rubinov · 2023 · eLife