Changes in resting‐state functionally connected parietofrontal networks after videogame practice
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Pierre Bellec | S. Karama | R. Colom | F. J. Román | K. Martínez | M. Burgaleta | J. Privado | Sergio Escorial | M. A. Quiroga | J. Alvarez-Linera | J. Hernandez-Tamames | E. Alfayate | A. B. Solana | J. Hernández-Tamames | M. Á. Quiroga | Eva Alfayate | A. Solana
[1] P. Thompson,et al. Understanding human intelligence by imaging the brain. , 2013 .
[2] Serge A R B Rombouts,et al. Functional brain connectivity at rest changes after working memory training , 2013, Human brain mapping.
[3] Peter T. Fox,et al. Changes occur in resting state network of motor system during 4weeks of motor skill learning , 2011, NeuroImage.
[4] Javier Ruiz,et al. Videogame Performance (Not Always) Requires Intelligence , 2011, Int. J. Online Pedagog. Course Des..
[5] Rex E. Jung,et al. Cortical thickness correlates of specific cognitive performance accounted for by the general factor of intelligence in healthy children aged 6 to 18 , 2011, NeuroImage.
[6] Tianzi Jiang,et al. Regional homogeneity of the resting-state brain activity correlates with individual intelligence , 2011, Neuroscience Letters.
[7] Keiji Tanaka,et al. The Neural Basis of Intuitive Best Next-Move Generation in Board Game Experts , 2011, Science.
[8] R. Haier,et al. Human intelligence and brain networks , 2010, Dialogues in clinical neuroscience.
[9] Kenia Martínez,et al. Improvement in working memory is not related to increased intelligence scores , 2010 .
[10] Serge A. R. B. Rombouts,et al. Practice effects in the brain: Changes in cerebral activation after working memory practice depend on task demands , 2010, NeuroImage.
[11] Jungsu S. Oh,et al. White matter neuroplastic changes in long-term trained players of the game of "Baduk" (GO): A voxel-based diffusion-tensor imaging study , 2010, NeuroImage.
[12] T. Klingberg. Training and plasticity of working memory , 2010, Trends in Cognitive Sciences.
[13] Zhishun Wang,et al. Visual inspection of independent components: Defining a procedure for artifact removal from fMRI data , 2010, Journal of Neuroscience Methods.
[14] J. T. Erichsen,et al. Hippocampal–anterior thalamic pathways for memory: uncovering a network of direct and indirect actions , 2010, The European journal of neuroscience.
[15] D Rudrauf,et al. Distributed neural system for general intelligence revealed by lesion mapping , 2010, Proceedings of the National Academy of Sciences.
[16] Christian Windischberger,et al. Toward discovery science of human brain function , 2010, Proceedings of the National Academy of Sciences.
[17] R. Buckner,et al. Functional-Anatomic Fractionation of the Brain's Default Network , 2010, Neuron.
[18] Xi-Nian Zuo,et al. Reliable intrinsic connectivity networks: Test–retest evaluation using ICA and dual regression approach , 2010, NeuroImage.
[19] Justin L. Vincent,et al. Precuneus shares intrinsic functional architecture in humans and monkeys , 2009, Proceedings of the National Academy of Sciences.
[20] Isabell Wartenburger,et al. Cerebral correlates of analogical processing and their modulation by training , 2009, NeuroImage.
[21] Adam G. Thomas,et al. Functional but not structural changes associated with learning: An exploration of longitudinal Voxel-Based Morphometry (VBM) , 2009, NeuroImage.
[22] M. Corbetta,et al. Learning sculpts the spontaneous activity of the resting human brain , 2009, Proceedings of the National Academy of Sciences.
[23] B. Biswal,et al. The resting brain: unconstrained yet reliable. , 2009, Cerebral cortex.
[24] R. Kahn,et al. Functionally linked resting‐state networks reflect the underlying structural connectivity architecture of the human brain , 2009, Human brain mapping.
[25] Dominik Heider,et al. Impact of Working Memory Load on fMRI Resting State Pattern in Subsequent Resting Phases , 2009, PloS one.
[26] Roberto Colom,et al. Video-games: Do they require general intelligence? , 2009, Comput. Educ..
[27] Sherif Karama,et al. BMC Research Notes BioMed Central , 2008 .
[28] Stephen M Smith,et al. Correspondence of the brain's functional architecture during activation and rest , 2009, Proceedings of the National Academy of Sciences.
[29] Tianzi Jiang,et al. Default network and intelligence difference , 2009, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[30] N. Filippini,et al. Group comparison of resting-state FMRI data using multi-subject ICA and dual regression , 2009, NeuroImage.
[31] Edwin M. Robertson,et al. The Resting Human Brain and Motor Learning , 2009, Current Biology.
[32] R. Kahn,et al. Efficiency of Functional Brain Networks and Intellectual Performance , 2009, The Journal of Neuroscience.
[33] P. Matthews,et al. Distinct patterns of brain activity in young carriers of the APOE e4 allele , 2009, NeuroImage.
[34] Steven C. R. Williams,et al. Measuring fMRI reliability with the intra-class correlation coefficient , 2009, NeuroImage.
[35] Mark W. Woolrich,et al. Bayesian analysis of neuroimaging data in FSL , 2009, NeuroImage.
[36] Rex E. Jung,et al. Gray matter correlates of fluid, crystallized, and spatial intelligence: Testing the P-FIT model , 2009 .
[37] Vince D. Calhoun,et al. A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data , 2009, NeuroImage.
[38] O Sporns,et al. Predicting human resting-state functional connectivity from structural connectivity , 2009, Proceedings of the National Academy of Sciences.
[39] Stephen M. Smith,et al. Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference , 2009, NeuroImage.
[40] Frederik Barkhof,et al. Model‐free group analysis shows altered BOLD FMRI networks in dementia , 2009, Human brain mapping.
[41] Karama S,et al. Positive association between cognitive ability and cortical thickness in a representative US sample of healthy 6 to 18 year-olds , 2009, NeuroImage.
[42] T. Paus,et al. Functional coactivation map of the human brain. , 2008, Cerebral cortex.
[43] S. Rombouts,et al. Reduced resting-state brain activity in the "default network" in normal aging. , 2008, Cerebral cortex.
[44] Jun Li,et al. Brain spontaneous functional connectivity and intelligence , 2008, NeuroImage.
[45] O. Sporns,et al. Mapping the Structural Core of Human Cerebral Cortex , 2008, PLoS biology.
[46] Lars Bäckman,et al. Transfer of Learning After Updating Training Mediated by the Striatum , 2008, Science.
[47] Susanne M. Jaeggi,et al. Improving fluid intelligence with training on working memory: a meta-analysis , 2008, Psychonomic Bulletin & Review.
[48] Guillaume Marrelec,et al. Contribution of Exploratory Methods to the Investigation of Extended Large-Scale Brain Networks in Functional MRI: Methodologies, Results, and Challenges , 2008, Int. J. Biomed. Imaging.
[49] S Laureys,et al. Intrinsic Brain Activity in Altered States of Consciousness , 2008, Annals of the New York Academy of Sciences.
[50] B. Harrison,et al. Modulation of Brain Resting-State Networks by Sad Mood Induction , 2008, PloS one.
[51] D. Schacter,et al. The Brain's Default Network , 2008, Annals of the New York Academy of Sciences.
[52] Bharat B. Biswal,et al. Competition between functional brain networks mediates behavioral variability , 2008, NeuroImage.
[53] Justin L. Vincent,et al. Disruption of Large-Scale Brain Systems in Advanced Aging , 2007, Neuron.
[54] Roberto Colom,et al. General intelligence and memory span: Evidence for a common neuroanatomic framework , 2007, Cognitive neuropsychology.
[55] C Ozturk,et al. Increased Gray Matter Density in the Parietal Cortex of Mathematicians: A Voxel-Based Morphometry Study , 2007, American Journal of Neuroradiology.
[56] M. Fox,et al. Spontaneous fluctuations in brain activity observed with functional magnetic resonance imaging , 2007, Nature Reviews Neuroscience.
[57] R. Haier,et al. The Parieto-Frontal Integration Theory (P-FIT) of intelligence: Converging neuroimaging evidence , 2007, Behavioral and Brain Sciences.
[58] G. Glover,et al. Dissociable Intrinsic Connectivity Networks for Salience Processing and Executive Control , 2007, The Journal of Neuroscience.
[59] Dae-Shik Kim,et al. Diffusion tensor studies dissociated two fronto-temporal pathways in the human memory system , 2007, NeuroImage.
[60] P. Skudlarski,et al. Brain Connectivity Related to Working Memory Performance , 2006, The Journal of Neuroscience.
[61] Benjamin J. Shannon,et al. Coherent spontaneous activity identifies a hippocampal-parietal memory network. , 2006, Journal of neurophysiology.
[62] S. Rombouts,et al. Consistent resting-state networks across healthy subjects , 2006, Proceedings of the National Academy of Sciences.
[63] Rex E. Jung,et al. Distributed brain sites for the g-factor of intelligence , 2006, NeuroImage.
[64] Michelle Hampson,et al. Connectivity–behavior analysis reveals that functional connectivity between left BA39 and Broca's area varies with reading ability , 2006, NeuroImage.
[65] Stephen M. Smith,et al. fMRI resting state networks define distinct modes of long-distance interactions in the human brain , 2006, NeuroImage.
[66] Jeffrey M. Zacks,et al. Coherent spontaneous activity accounts for trial-to-trial variability in human evoked brain responses , 2006, Nature Neuroscience.
[67] P. Matthews,et al. Blood oxygenation level dependent contrast resting state networks are relevant to functional activity in the neocortical sensorimotor system , 2005, Experimental Brain Research.
[68] A. Kelly,et al. Human functional neuroimaging of brain changes associated with practice. , 2005, Cerebral cortex.
[69] 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.
[70] Stephen M. Smith,et al. Investigations into resting-state connectivity using independent component analysis , 2005, Philosophical Transactions of the Royal Society B: Biological Sciences.
[71] G. Jackson,et al. Effect of prior cognitive state on resting state networks measured with functional connectivity , 2005, Human brain mapping.
[72] Mark W. Woolrich,et al. Advances in functional and structural MR image analysis and implementation as FSL , 2004, NeuroImage.
[73] G. Buzsáki,et al. Neuronal Oscillations in Cortical Networks , 2004, Science.
[74] Frederik L Giesel,et al. Plasticity of cortical activation related to working memory during training. , 2004, The American journal of psychiatry.
[75] Stephen M. Smith,et al. Probabilistic independent component analysis for functional magnetic resonance imaging , 2004, IEEE Transactions on Medical Imaging.
[76] Bogdan Draganski,et al. Neuroplasticity: Changes in grey matter induced by training , 2004, Nature.
[77] T. Klingberg,et al. Increased prefrontal and parietal activity after training of working memory , 2004, Nature Neuroscience.
[78] G. Schlaug,et al. Brain Structures Differ between Musicians and Non-Musicians , 2003, The Journal of Neuroscience.
[79] Vinod Menon,et al. Functional connectivity in the resting brain: A network analysis of the default mode hypothesis , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[80] Michael Brady,et al. Improved Optimization for the Robust and Accurate Linear Registration and Motion Correction of Brain Images , 2002, NeuroImage.
[81] P. Skudlarski,et al. Detection of functional connectivity using temporal correlations in MR images , 2002, Human brain mapping.
[82] M. Corbetta,et al. Control of goal-directed and stimulus-driven attention in the brain , 2002, Nature Reviews Neuroscience.
[83] Thomas E. Nichols,et al. Nonparametric permutation tests for functional neuroimaging: A primer with examples , 2002, Human brain mapping.
[84] T. Sejnowski,et al. Correlated neuronal activity and the flow of neural information , 2001, Nature Reviews Neuroscience.
[85] J. Martinerie,et al. The brainweb: Phase synchronization and large-scale integration , 2001, Nature Reviews Neuroscience.
[86] G L Shulman,et al. INAUGURAL ARTICLE by a Recently Elected Academy Member:A default mode of brain function , 2001 .
[87] V. Haughton,et al. Mapping functionally related regions of brain with functional connectivity MR imaging. , 2000, AJNR. American journal of neuroradiology.
[88] Edward E. Smith,et al. Temporal dynamics of brain activation during a working memory task , 1997, Nature.
[89] B. Biswal,et al. Functional connectivity in the motor cortex of resting human brain using echo‐planar mri , 1995, Magnetic resonance in medicine.
[90] Leslie G. Ungerleider,et al. Functional MRI evidence for adult motor cortex plasticity during motor skill learning , 1995, Nature.
[91] J. Fleiss,et al. Intraclass correlations: uses in assessing rater reliability. , 1979, Psychological bulletin.