Grit Is Associated with Structure of Nucleus Accumbens and Gains in Cognitive Training
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Federico Nemmi | Torkel Klingberg | Charlotte Nymberg | Elin Helander | T. Klingberg | F. Nemmi | C. Nymberg | Elin Helander
[1] A. M. Dale,et al. A hybrid approach to the skull stripping problem in MRI , 2004, NeuroImage.
[2] Angela L. Duckworth,et al. Self-Control and Grit , 2014, Current directions in psychological science.
[3] Stephen M Smith,et al. Fast robust automated brain extraction , 2002, Human brain mapping.
[4] Joni Holmes,et al. Adaptive training leads to sustained enhancement of poor working memory in children. , 2009, Developmental science.
[5] Mark W. Woolrich,et al. FSL , 2012, NeuroImage.
[6] M. D’Esposito. Working memory. , 2008, Handbook of clinical neurology.
[7] J. Salamone,et al. The Mysterious Motivational Functions of Mesolimbic Dopamine , 2012, Neuron.
[8] Mark Jenkinson,et al. Imaging dopamine receptors in humans with [11C]-(+)-PHNO: Dissection of D3 signal and anatomy , 2011, NeuroImage.
[9] J. Gray,et al. Testing Predictions From Personality Neuroscience , 2010, Psychological science.
[10] Stephen M. Smith,et al. Threshold-free cluster enhancement: Addressing problems of smoothing, threshold dependence and localisation in cluster inference , 2009, NeuroImage.
[11] J. Salamone,et al. Haloperidol and nucleus accumbens dopamine depletion suppress lever pressing for food but increase free food consumption in a novel food choice procedure , 2005, Psychopharmacology.
[12] W. Schultz,et al. Responses of monkey dopamine neurons to reward and conditioned stimuli during successive steps of learning a delayed response task , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[13] R. Tremblay,et al. Childhood trajectories of inattention and hyperactivity and prediction of educational attainment in early adulthood: a 16-year longitudinal population-based study. , 2011, The American journal of psychiatry.
[14] Abraham Z. Snyder,et al. Spurious but systematic correlations in functional connectivity MRI networks arise from subject motion , 2012, NeuroImage.
[15] M. Rietschel,et al. Cortical thickness of superior frontal cortex predicts impulsiveness and perceptual reasoning in adolescence , 2013, Molecular Psychiatry.
[16] J. Dreher,et al. Processing of primary and secondary rewards: A quantitative meta-analysis and review of human functional neuroimaging studies , 2013, Neuroscience & Biobehavioral Reviews.
[17] Carol S. Dweck,et al. Motivational processes affecting learning. , 1986 .
[18] H. Forssberg,et al. Computerized training of working memory in children with ADHD--a randomized, controlled trial. , 2005, Journal of the American Academy of Child and Adolescent Psychiatry.
[19] Anders M. Dale,et al. Reliability of MRI-derived measurements of human cerebral cortical thickness: The effects of field strength, scanner upgrade and manufacturer , 2006, NeuroImage.
[20] J. Nigg. Attention deficits and hyperactivity–impulsivity: What have we learned, what next? , 2013, Development and Psychopathology.
[21] R. Goodman. The Strengths and Difficulties Questionnaire: a research note. , 1997, Journal of child psychology and psychiatry, and allied disciplines.
[22] J. Broman,et al. Psychometric properties of a Swedish version of the “Strengths and Difficulties Questionnaire” , 1999, European Child & Adolescent Psychiatry.
[23] E. Miller,et al. An integrative theory of prefrontal cortex function. , 2001, Annual review of neuroscience.
[24] A. Dale,et al. Cortical Surface-Based Analysis II: Inflation, Flattening, and a Surface-Based Coordinate System , 1999, NeuroImage.
[25] M. Rietschel,et al. DRD2/ANKK1 Polymorphism Modulates the Effect of Ventral Striatal Activation on Working Memory Performance , 2014, Neuropsychopharmacology.
[26] W. Schultz,et al. Adaptive Coding of Reward Value by Dopamine Neurons , 2005, Science.
[27] J. Fuster. Prefrontal Cortex , 2018 .
[28] Stephen M. Smith,et al. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm , 2001, IEEE Transactions on Medical Imaging.
[29] Daniel Rueckert,et al. Tract-based spatial statistics: Voxelwise analysis of multi-subject diffusion data , 2006, NeuroImage.
[30] Christos Davatzikos,et al. The five factors of personality and regional cortical variability in the baltimore longitudinal study of aging , 2013, Human brain mapping.
[31] Stephen M. Smith,et al. Permutation inference for the general linear model , 2014, NeuroImage.
[32] Angela L. Duckworth,et al. Grit: perseverance and passion for long-term goals. , 2007, Journal of personality and social psychology.
[33] Anders M. Dale,et al. Improved Localization of Cortical Activity By Combining EEG and MEG with MRI Cortical Surface Reconstruction , 2002 .
[34] Brian Patenaude,et al. Bayesian statistical models of shape and appearance for subcortical brain segmentation , 2007 .
[35] T. Robbins,et al. Neural systems of reinforcement for drug addiction: from actions to habits to compulsion , 2005, Nature Neuroscience.
[36] Mark W. Woolrich,et al. Probabilistic diffusion tractography with multiple fibre orientations: What can we gain? , 2007, NeuroImage.
[37] R. Wise. Dopamine, learning and motivation , 2004, Nature Reviews Neuroscience.
[38] T. Robbins,et al. Differential control over cocaine-seeking behavior by nucleus accumbens core and shell , 2004, Nature Neuroscience.
[39] M. Rietschel,et al. DRD 2 / ANKK 1 Polymorphism Modulates the Effect of Ventral Striatal Activation on Working Memory Performance , 2014 .
[40] S. Varma,et al. Dyscalculia: From Brain to Education , 2011, Science.
[41] Torkel Klingberg,et al. Polymorphisms in the Dopamine Receptor 2 Gene Region Influence Improvements during Working Memory Training in Children and Adolescents , 2014, Journal of Cognitive Neuroscience.
[42] Lars Bäckman,et al. Transfer of Learning After Updating Training Mediated by the Striatum , 2008, Science.
[43] M. Walton,et al. Differential involvement of serotonin and dopamine systems in cost-benefit decisions about delay or effort , 2005, Psychopharmacology.
[44] T. Klingberg,et al. Increased prefrontal and parietal activity after training of working memory , 2004, Nature Neuroscience.
[45] Bruce D. McCandliss. Educational neuroscience: The early years , 2010, Proceedings of the National Academy of Sciences.
[46] Yvonne Brehmer,et al. Working-memory training in younger and older adults: training gains, transfer, and maintenance , 2012, Front. Hum. Neurosci..
[47] L. R. Goldberg,et al. THE STRUCTURE OF CONSCIENTIOUSNESS: AN EMPIRICAL INVESTIGATION BASED ON SEVEN MAJOR PERSONALITY QUESTIONNAIRES , 2005 .
[48] Anders M. Dale,et al. Cortical Surface-Based Analysis I. Segmentation and Surface Reconstruction , 1999, NeuroImage.
[49] Heidi Johansen-Berg,et al. Unconscious vision: new insights into the neuronal correlate of blindsight using diffusion tractography. , 2006, Brain : a journal of neurology.
[50] Nicholas Ayache,et al. Spherical Demons: Fast Diffeomorphic Landmark-Free Surface Registration , 2010, IEEE Transactions on Medical Imaging.
[51] Angela L. Duckworth,et al. Development and Validation of the Short Grit Scale (Grit–S) , 2009, Journal of personality assessment.
[52] A. Dale,et al. High‐resolution intersubject averaging and a coordinate system for the cortical surface , 1999, Human brain mapping.
[53] Thomas E. Nichols,et al. Validating cluster size inference: random field and permutation methods , 2003, NeuroImage.
[54] Timothy Edward John Behrens,et al. Characterization and propagation of uncertainty in diffusion‐weighted MR imaging , 2003, Magnetic resonance in medicine.
[55] T. Robbins,et al. Stop-signal inhibition disrupted by damage to right inferior frontal gyrus in humans , 2003, Nature Neuroscience.
[56] E. Murray,et al. Balkanizing the primate orbitofrontal cortex: distinct subregions for comparing and contrasting values , 2011, Annals of the New York Academy of Sciences.
[57] Jonathan D. Power,et al. Statistical improvements in functional magnetic resonance imaging analyses produced by censoring high‐motion data points , 2014, Human brain mapping.
[58] Federico Nemmi,et al. Parkinson's disease and local atrophy in subcortical nuclei: insight from shape analysis , 2015, Neurobiology of Aging.
[59] A M Dale,et al. Measuring the thickness of the human cerebral cortex from magnetic resonance images. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[60] Angela L. Duckworth,et al. The grit effect: predicting retention in the military, the workplace, school and marriage , 2013, Front. Psychol..
[61] Stephen M. Smith,et al. A Bayesian model of shape and appearance for subcortical brain segmentation , 2011, NeuroImage.