Linking brain network reconfiguration and intelligence: Are we there yet?
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[1] Rex E. Jung,et al. Distributed brain sites for the g-factor of intelligence , 2006, NeuroImage.
[2] Keith A. Johnson,et al. Cortical Hubs Revealed by Intrinsic Functional Connectivity: Mapping, Assessment of Stability, and Relation to Alzheimer's Disease , 2009, The Journal of Neuroscience.
[3] Mark D'Esposito,et al. Reconfiguration of brain network architecture to support executive control in aging , 2016, Neurobiology of Aging.
[4] Stephen M. Smith,et al. Advances and Pitfalls in the Analysis and Interpretation of Resting-State FMRI Data , 2010, Front. Syst. Neurosci..
[5] Xiao Liu,et al. Co-activation patterns in resting-state fMRI signals , 2018, NeuroImage.
[6] Jessica R. Cohen. The behavioral and cognitive relevance of time-varying, dynamic changes in functional connectivity , 2017, NeuroImage.
[7] A. Jensen,et al. The nature of psychometric g: Unitary process or a number of independent processes? , 1991 .
[8] Jean M. Vettel,et al. Controllability of structural brain networks , 2014, Nature Communications.
[9] Kristof Kovacs,et al. Process Overlap Theory: A Unified Account of the General Factor of Intelligence , 2016 .
[10] Gustavo Deco,et al. Functional connectivity dynamics: Modeling the switching behavior of the resting state , 2015, NeuroImage.
[11] Sharon L. Thompson-Schill,et al. A Functional Cartography of Cognitive Systems , 2015, PLoS Comput. Biol..
[12] Jessica R. Cohen,et al. The Segregation and Integration of Distinct Brain Networks and Their Relationship to Cognition , 2016, The Journal of Neuroscience.
[13] T. Salthouse. Relations between cognitive abilities and measures of executive functioning. , 2005, Neuropsychology.
[14] D. Bassett,et al. Dynamic reconfiguration of frontal brain networks during executive cognition in humans , 2015, Proceedings of the National Academy of Sciences.
[15] Ian J. Deary,et al. The Stability of Intelligence From Childhood to Old Age , 2014 .
[16] B. Sahakian,et al. Angular default mode network connectivity across working memory load , 2017, Human brain mapping.
[17] R. Haier,et al. The Parieto-Frontal Integration Theory (P-FIT) of intelligence: Converging neuroimaging evidence , 2007, Behavioral and Brain Sciences.
[18] Fabio Pasqualetti,et al. Optimal trajectories of brain state transitions , 2016, NeuroImage.
[19] D. Bassett,et al. A Network Neuroscience of Human Learning: Potential to Inform Quantitative Theories of Brain and Behavior , 2017, Trends in Cognitive Sciences.
[20] Danielle S. Bassett,et al. Brain Network Adaptability across Task States , 2014, PLoS Comput. Biol..
[21] Danielle S. Bassett,et al. Brain state expression and transitions are related to complex executive cognition in normative neurodevelopment , 2018, NeuroImage.
[22] David A. Leopold,et al. Dynamic functional connectivity: Promise, issues, and interpretations , 2013, NeuroImage.
[23] M. Greicius,et al. Decoding subject-driven cognitive states with whole-brain connectivity patterns. , 2012, Cerebral cortex.
[24] Johann Daniel Kruschwitz,et al. General, crystallized and fluid intelligence are not associated with functional global network efficiency: A replication study with the human connectome project 1200 data set , 2018, NeuroImage.
[25] S. Rossi,et al. Efficiency of weak brain connections support general cognitive functioning , 2014, Human brain mapping.
[26] P. Thompson,et al. Understanding human intelligence by imaging the brain. , 2013 .
[27] Scott T. Grafton,et al. Dynamic reconfiguration of human brain networks during learning , 2010, Proceedings of the National Academy of Sciences.
[28] Danielle S. Bassett,et al. Functional Network Dynamics of the Language System , 2016, Cerebral cortex.
[29] Olaf Sporns,et al. Complex network measures of brain connectivity: Uses and interpretations , 2010, NeuroImage.
[30] Krzysztof J. Gorgolewski,et al. The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance , 2015, Neuron.
[31] Yong He,et al. Individual differences and time-varying features of modular brain architecture , 2017, NeuroImage.
[32] Danielle S Bassett,et al. Detection of functional brain network reconfiguration during task-driven cognitive states , 2016, NeuroImage.
[33] Dimitri Van De Ville,et al. The dynamic functional connectome: State-of-the-art and perspectives , 2017, NeuroImage.
[34] Maxwell A. Bertolero,et al. The diverse club , 2017, Nature Communications.
[35] Jonathan D. Power,et al. Multi-task connectivity reveals flexible hubs for adaptive task control , 2013, Nature Neuroscience.
[36] Kaustubh Supekar,et al. Dynamic Reconfiguration of Structural and Functional Connectivity Across Core Neurocognitive Brain Networks with Development , 2011, The Journal of Neuroscience.
[37] Viviana Betti,et al. Dynamic reorganization of human resting-state networks during visuospatial attention , 2015, Proceedings of the National Academy of Sciences.
[38] Vince D. Calhoun,et al. Chronnectomic patterns and neural flexibility underlie executive function , 2017, NeuroImage.
[39] Jun Li,et al. Brain Anatomical Network and Intelligence , 2009, NeuroImage.
[40] Xiaoping Hu,et al. Behavioral Relevance of the Dynamics of the Functional Brain Connectome , 2014, Brain Connect..
[41] Danielle S Bassett,et al. Learning-induced autonomy of sensorimotor systems , 2014, Nature Neuroscience.
[42] O. Sporns,et al. Network hubs in the human brain , 2013, Trends in Cognitive Sciences.
[43] Jean M. Vettel,et al. Network Approaches to Understand Individual Differences in Brain Connectivity: Opportunities for Personality Neuroscience , 2018, Personality Neuroscience.
[44] Leonardo L. Gollo,et al. Time-resolved resting-state brain networks , 2014, Proceedings of the National Academy of Sciences.
[45] Paul J. Laurienti,et al. Changes in Cognitive State Alter Human Functional Brain Networks , 2011, Front. Hum. Neurosci..
[46] Marisa O. Hollinshead,et al. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. , 2011, Journal of neurophysiology.
[47] C. Spearman. General intelligence Objectively Determined and Measured , 1904 .
[48] Aaron Kucyi,et al. Just a thought: How mind-wandering is represented in dynamic brain connectivity , 2017, NeuroImage.
[49] Andrew Zalesky,et al. Reconfiguration of Brain Network Architectures between Resting-State and Complexity-Dependent Cognitive Reasoning , 2017, The Journal of Neuroscience.
[50] Richard F. Betzel,et al. Modular Brain Networks. , 2016, Annual review of psychology.
[51] B T Thomas Yeo,et al. Reconfigurable task-dependent functional coupling modes cluster around a core functional architecture , 2014, Philosophical Transactions of the Royal Society B: Biological Sciences.
[52] Jonathan D. Power,et al. Intrinsic and Task-Evoked Network Architectures of the Human Brain , 2014, Neuron.
[53] Russell A. Poldrack,et al. Principles of dynamic network reconfiguration across diverse brain states , 2017, NeuroImage.
[54] Stephen M Smith,et al. Correspondence of the brain's functional architecture during activation and rest , 2009, Proceedings of the National Academy of Sciences.
[55] Olaf Sporns,et al. The small world of the cerebral cortex , 2007, Neuroinformatics.
[56] I. Deary,et al. The neuroscience of human intelligence differences , 2010, Nature Reviews Neuroscience.
[57] Peter A. Bandettini,et al. Task-based dynamic functional connectivity: Recent findings and open questions , 2017, NeuroImage.
[58] Jun Li,et al. Brain spontaneous functional connectivity and intelligence , 2008, NeuroImage.
[59] Danna Zhou,et al. d. , 1934, Microbial pathogenesis.
[60] Danielle Smith Bassett,et al. Small-World Brain Networks , 2006, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.
[61] Danielle S. Bassett,et al. A mechanistic model of connector hubs, modularity and cognition , 2018, Nature Human Behaviour.
[62] R. Cattell,et al. Refinement and test of the theory of fluid and crystallized general intelligences. , 1966, Journal of educational psychology.
[63] General , 1970 .
[64] R. Kahn,et al. Efficiency of Functional Brain Networks and Intellectual Performance , 2009, The Journal of Neuroscience.
[65] Mark Newman,et al. Networks: An Introduction , 2010 .
[66] Olaf Sporns,et al. Dynamic fluctuations coincide with periods of high and low modularity in resting-state functional brain networks , 2015, NeuroImage.
[67] Hesheng Liu,et al. State-dependent variability of dynamic functional connectivity between frontoparietal and default networks relates to cognitive flexibility , 2016, Neuroscience.
[68] Baxter P. Rogers,et al. Analyzing the association between functional connectivity of the brain and intellectual performance , 2015, Front. Hum. Neurosci..
[69] Russell A. Poldrack,et al. The low dimensional dynamic and integrative core of cognition in the human brain , 2018 .
[70] Abraham Z. Snyder,et al. A default mode of brain function: A brief history of an evolving idea , 2007, NeuroImage.
[71] A. Miyake,et al. Not All Executive Functions Are Related to Intelligence , 2006, Psychological science.
[72] R. Nathan Spreng,et al. The Shifting Architecture of Cognition and Brain Function in Older Adulthood , 2019, Perspectives on psychological science : a journal of the Association for Psychological Science.
[73] S. Rombouts,et al. Consistent resting-state networks across healthy subjects , 2006, Proceedings of the National Academy of Sciences.
[74] Xi-Nian Zuo,et al. Reliable intrinsic connectivity networks: Test–retest evaluation using ICA and dual regression approach , 2010, NeuroImage.
[75] Edward T. Bullmore,et al. Small-World Brain Networks Revisited , 2016, The Neuroscientist : a review journal bringing neurobiology, neurology and psychiatry.
[76] Manfred G Kitzbichler,et al. Cognitive Effort Drives Workspace Configuration of Human Brain Functional Networks , 2011, The Journal of Neuroscience.
[77] A. Stevens,et al. Functional Brain Network Modularity Captures Inter- and Intra-Individual Variation in Working Memory Capacity , 2012, PloS one.
[78] Eswar Damaraju,et al. Tracking whole-brain connectivity dynamics in the resting state. , 2014, Cerebral cortex.
[79] Ulrike Basten,et al. Efficient hubs in the intelligent brain: Nodal efficiency of hub regions in the salience network is associated with general intelligence , 2017 .
[80] A. Miyake,et al. The Nature and Organization of Individual Differences in Executive Functions , 2012, Current directions in psychological science.
[81] Lorena R. R. Gianotti,et al. Functional brain network efficiency predicts intelligence , 2012, Human brain mapping.
[82] Aaron Kucyi,et al. Dynamic functional connectivity of the default mode network tracks daydreaming , 2014, NeuroImage.
[83] J. Carroll. No demonstration that g is not unitary, but there's more to the story :comment on Kranzler and Jensen , 1991 .
[84] Danielle S. Bassett,et al. Dynamic graph metrics: Tutorial, toolbox, and tale , 2017, NeuroImage.
[85] E. Thompson,et al. Neurophenomenology Integrating Subjective Experience and Brain Dynamics in the Neuroscience of Consciousness , 2003 .
[86] Michael W. Cole,et al. Higher Intelligence Is Associated with Less Task-Related Brain Network Reconfiguration , 2016, The Journal of Neuroscience.
[87] Timothy O. Laumann,et al. Functional Network Organization of the Human Brain , 2011, Neuron.
[88] Kaustubh Supekar,et al. Distinct Global Brain Dynamics and Spatiotemporal Organization of the Salience Network , 2016, PLoS biology.
[89] Stephen M. Smith,et al. Brain network dynamics are hierarchically organized in time , 2017, Proceedings of the National Academy of Sciences.
[90] Michael W. Cole,et al. Lateral Prefrontal Cortex Contributes to Fluid Intelligence Through Multinetwork Connectivity , 2015, Brain Connect..
[91] Michael W. Cole,et al. Global Connectivity of Prefrontal Cortex Predicts Cognitive Control and Intelligence , 2012, The Journal of Neuroscience.
[92] A. Barbey. Network Neuroscience Theory of Human Intelligence , 2018, Trends in Cognitive Sciences.
[93] R. Cotterill. CyberChild - A simulation test-bed for consciousness studies , 2003 .
[94] Lucina Q. Uddin,et al. Demystifying cognitive flexibility: Implications for clinical and developmental neuroscience , 2015, Trends in Neurosciences.
[95] E. Santarnecchi,et al. Bridge Over Troubled Water: Commenting on Kovacs and Conway's Process Overlap Theory , 2016 .
[96] O. Sporns,et al. Network neuroscience , 2017, Nature Neuroscience.
[97] Edward T. Bullmore,et al. Neuroinformatics Original Research Article , 2022 .
[98] Mason A. Porter,et al. Task-Based Core-Periphery Organization of Human Brain Dynamics , 2012, PLoS Comput. Biol..
[99] Fabio Pasqualetti,et al. Control of brain network dynamics across diverse scales of space and time. , 2019, Physical review. E.
[100] P. Ackerman,et al. Working Memory and Intelligence : The Same or Different Constructs ? , 2005 .
[101] Laura C. Buchanan,et al. Tracking ongoing cognition in individuals using brief, whole-brain functional connectivity patterns , 2015, Proceedings of the National Academy of Sciences.