Functional brain networks related to individual differences in human intelligence at rest
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[1] Tianzi Jiang,et al. Default network and intelligence difference , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[2] Marisa O. Hollinshead,et al. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. , 2011, Journal of neurophysiology.
[3] Peter J Hellyer,et al. The Control of Global Brain Dynamics: Opposing Actions of Frontoparietal Control and Default Mode Networks on Attention , 2014, The Journal of Neuroscience.
[4] Yufeng Zang,et al. DPARSF: A MATLAB Toolbox for “Pipeline” Data Analysis of Resting-State fMRI , 2010 .
[5] Ulrike Basten,et al. Where smart brains are different: A quantitative meta-analysis of functional and structural brain imaging studies on intelligence , 2015 .
[6] M. Raichle,et al. On the existence of a generalized non-specific task-dependent network , 2015, Front. Hum. Neurosci..
[7] Steen Moeller,et al. Pushing spatial and temporal resolution for functional and diffusion MRI in the Human Connectome Project , 2013, NeuroImage.
[8] Michael W. Cole,et al. Lateral prefrontal cortex contributes to fluid intelligence via multi-network connectivity , 2015 .
[9] Edward T. Bullmore,et al. Network-based statistic: Identifying differences in brain networks , 2010, NeuroImage.
[10] Timothy O. Laumann,et al. Generation and Evaluation of a Cortical Area Parcellation from Resting-State Correlations. , 2016, Cerebral cortex.
[11] Michael W. Cole,et al. Lateral Prefrontal Cortex Contributes to Fluid Intelligence Through Multinetwork Connectivity , 2015, Brain Connect..
[12] Essa Yacoub,et al. The WU-Minn Human Connectome Project: An overview , 2013, NeuroImage.
[13] G. Deco,et al. Ongoing Cortical Activity at Rest: Criticality, Multistability, and Ghost Attractors , 2012, The Journal of Neuroscience.
[14] Kun Ho Lee,et al. Neural correlates of superior intelligence: Stronger recruitment of posterior parietal cortex , 2006, NeuroImage.
[15] Gian Luca Romani,et al. Differential patterns of cortical activation as a function of fluid reasoning complexity , 2009, Human brain mapping.
[16] Thomas E. Nichols,et al. A positive-negative mode of population covariation links brain connectivity, demographics and behavior , 2015, Nature Neuroscience.
[17] B. Sahakian,et al. Default Mode Dynamics for Global Functional Integration , 2015, The Journal of Neuroscience.
[18] Duje Tadin,et al. A Strong Interactive Link between Sensory Discriminations and Intelligence , 2013, Current Biology.
[19] Phillip Wolff,et al. Causal reasoning with forces , 2015, Front. Hum. Neurosci..
[20] Richard J. Haier,et al. Brain networks for working memory and factors of intelligence assessed in males and females with fMRI and DTI , 2010 .
[21] Steen Moeller,et al. Multiband multislice GE‐EPI at 7 tesla, with 16‐fold acceleration using partial parallel imaging with application to high spatial and temporal whole‐brain fMRI , 2010, Magnetic resonance in medicine.
[22] Thomas E. Nichols,et al. Functional connectomics from resting-state fMRI , 2013, Trends in Cognitive Sciences.
[23] Andrew Zalesky,et al. Complexity in relational processing predicts changes in functional brain network dynamics. , 2014, Cerebral cortex.
[24] Maurizio Corbetta,et al. The human brain is intrinsically organized into dynamic, anticorrelated functional networks. , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[25] Yong He,et al. BrainNet Viewer: A Network Visualization Tool for Human Brain Connectomics , 2013, PloS one.
[26] J. Hunter. Cognitive ability, cognitive aptitudes, job knowledge, and job performance , 1986 .
[27] R. Kahn,et al. Efficiency of Functional Brain Networks and Intellectual Performance , 2009, The Journal of Neuroscience.
[28] Luke J. Hearne,et al. Interactions between default mode and control networks as a function of increasing cognitive reasoning complexity , 2015, Human brain mapping.
[29] Jun Li,et al. Brain spontaneous functional connectivity and intelligence , 2008, NeuroImage.
[30] Chaogan Yan,et al. DPARSF: A MATLAB Toolbox for “Pipeline” Data Analysis of Resting-State fMRI , 2010, Front. Syst. Neurosci..
[31] M. Benedek,et al. Investigating Neural Efficiency in the Visuo-Spatial Domain: An fmri Study , 2012, PloS one.
[32] R. Haier,et al. The Parieto-Frontal Integration Theory (P-FIT) of intelligence: Converging neuroimaging evidence , 2007, Behavioral and Brain Sciences.
[33] M. Chun,et al. Functional connectome fingerprinting: Identifying individuals based on patterns of brain connectivity , 2015, Nature Neuroscience.
[34] J. Raven. The Raven's Progressive Matrices: Change and Stability over Culture and Time , 2000, Cognitive Psychology.
[35] G. Deco,et al. Emerging concepts for the dynamical organization of resting-state activity in the brain , 2010, Nature Reviews Neuroscience.
[36] Baxter P. Rogers,et al. Analyzing the association between functional connectivity of the brain and intellectual performance , 2015, Front. Hum. Neurosci..
[37] R. Buckner,et al. Transcranial magnetic stimulation modulates the brain's intrinsic activity in a frequency-dependent manner , 2011, Proceedings of the National Academy of Sciences.
[38] J. Mattingley,et al. Dynamic cooperation and competition between brain systems during cognitive control , 2013, Trends in Cognitive Sciences.
[39] Mark Jenkinson,et al. The minimal preprocessing pipelines for the Human Connectome Project , 2013, NeuroImage.
[40] Ian J. Deary,et al. Intelligence Predicts Health and Longevity, but Why? , 2004 .
[41] Albert Hofman,et al. Functional connectivity between parietal and frontal brain regions and intelligence in young children: The Generation R study , 2013, Human brain mapping.
[42] C. Chabris,et al. Neural mechanisms of general fluid intelligence , 2003, Nature Neuroscience.
[43] Edward T. Bullmore,et al. Connectivity differences in brain networks , 2012, NeuroImage.
[44] D. Bassett,et al. Emergence of system roles in normative neurodevelopment , 2015, Proceedings of the National Academy of Sciences.
[45] Tianzi Jiang,et al. Regional homogeneity of the resting-state brain activity correlates with individual intelligence , 2011, Neuroscience Letters.
[46] R. Sternberg,et al. Intelligence: Knowns and unknowns. , 1996 .
[47] R. Gur,et al. Development of Abbreviated Nine-Item Forms of the Raven’s Standard Progressive Matrices Test , 2012, Assessment.
[48] A. Zalesky,et al. Competitive and cooperative dynamics of large-scale brain functional networks supporting recollection , 2012, Proceedings of the National Academy of Sciences.
[49] J. Duncan. The multiple-demand (MD) system of the primate brain: mental programs for intelligent behaviour , 2010, Trends in Cognitive Sciences.
[50] Dennis Velakoulis,et al. MRI correlates of general intelligence in neurotypical adults , 2016, Journal of Clinical Neuroscience.
[51] Timothy O. Laumann,et al. Functional Network Organization of the Human Brain , 2011, Neuron.
[52] D. Sharp,et al. Fractionating the Default Mode Network: Distinct Contributions of the Ventral and Dorsal Posterior Cingulate Cortex to Cognitive Control , 2011, The Journal of Neuroscience.
[53] Jerry Slotkin,et al. VIII. NIH Toolbox Cognition Battery (CB): composite scores of crystallized, fluid, and overall cognition. , 2013, Monographs of the Society for Research in Child Development.
[54] Emiliano Santarnecchi,et al. Intelligence‐related differences in the asymmetry of spontaneous cerebral activity , 2015, Human brain mapping.
[55] Michael W. Cole,et al. The role of default network deactivation in cognition and disease , 2012, Trends in Cognitive Sciences.
[56] Michael W. Cole,et al. Global Connectivity of Prefrontal Cortex Predicts Cognitive Control and Intelligence , 2012, The Journal of Neuroscience.
[57] F. Castellanos,et al. Spontaneous attentional fluctuations in impaired states and pathological conditions: A neurobiological hypothesis , 2007, Neuroscience & Biobehavioral Reviews.
[58] Ulrike Basten,et al. Intelligence is differentially related to neural effort in the task-positive and the task-negative brain network , 2013 .
[59] Tianzi Jiang,et al. The salience network contributes to an individual's fluid reasoning capacity , 2012, Behavioural Brain Research.