A Window of Opportunity for Cognitive Training in Adolescence
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S. Blakemore | M. Speekenbrink | D. Fuhrmann | L. Knoll | A. Sakhardande | Fabian Stamp | Delia Fuhrmann | Lisa J. Knoll
[1] S. Blakemore,et al. Adolescence as a Sensitive Period of Brain Development , 2015, Trends in Cognitive Sciences.
[2] T. Klingberg,et al. Effect of working memory training on working memory, arithmetic and following instructions , 2014, Psychological Research.
[3] Iroise Dumontheil,et al. Development of abstract thinking during childhood and adolescence: The role of rostrolateral prefrontal cortex , 2014, Developmental Cognitive Neuroscience.
[4] W. Sommer,et al. Can Training Enhance Face Cognition Abilities in Middle-Aged Adults? , 2014, PloS one.
[5] A. Chuderski. The relational integration task explains fluid reasoning above and beyond other working memory tasks , 2013, Memory & cognition.
[6] Elizabeth M Brannon,et al. Training the Approximate Number System Improves Math Proficiency , 2013, Psychological science.
[7] S. Gathercole,et al. Taking working memory training from the laboratory into schools , 2013, Educational psychology.
[8] T. Robbins,et al. Decision-making in the adolescent brain , 2012, Nature Neuroscience.
[9] Kirstie J. Whitaker,et al. Experience-dependent plasticity in white matter microstructure: reasoning training alters structural connectivity , 2012, Front. Neuroanat..
[10] Justin Halberda,et al. Number sense across the lifespan as revealed by a massive Internet-based sample , 2012, Proceedings of the National Academy of Sciences.
[11] Sarah-Jayne Blakemore,et al. Effects of Age, Task Performance, and Structural Brain Development on Face Processing , 2012, Cerebral cortex.
[12] Iroise Dumontheil,et al. Brain activity during a visuospatial working memory task predicts arithmetical performance 2 years later. , 2012, Cerebral cortex.
[13] Elizabeth M. Brannon,et al. Malleability of the approximate number system: effects of feedback and training , 2012, Front. Hum. Neurosci..
[14] Kathrin Cohen Kadosh. Differing Processing Abilities for Specific Face Properties in Mid-Childhood and Adulthood , 2012, Front. Psychology.
[15] Raquel E Gur,et al. Age group and sex differences in performance on a computerized neurocognitive battery in children age 8-21. , 2012, Neuropsychology.
[16] A. Mackey,et al. Differential effects of reasoning and speed training in children. , 2011, Developmental science.
[17] Iroise Dumontheil,et al. Development of relational reasoning during adolescence. , 2010, Developmental science.
[18] Marc Joliot,et al. Mapping numerical processing, reading, and executive functions in the developing brain: an fMRI meta-analysis of 52 studies including 842 children. , 2010, Developmental science.
[19] J. Rapoport,et al. Structural MRI of Pediatric Brain Development: What Have We Learned and Where Are We Going? , 2010, Neuron.
[20] T. Klingberg. Training and plasticity of working memory , 2010, Trends in Cognitive Sciences.
[21] Jessica A. Grahn,et al. Putting brain training to the test , 2010, Nature.
[22] L. Westlye,et al. Brain maturation in adolescence and young adulthood: regional age-related changes in cortical thickness and white matter volume and microstructure. , 2010, Cerebral cortex.
[23] T. Hothorn,et al. Simultaneous Inference in General Parametric Models , 2008, Biometrical journal. Biometrische Zeitschrift.
[24] Susanne M. Jaeggi,et al. Improving fluid intelligence with training on working memory: a meta-analysis , 2008, Psychonomic Bulletin & Review.
[25] K. Nakayama,et al. The Cambridge Face Memory Test: Results for neurologically intact individuals and an investigation of its validity using inverted face stimuli and prosopagnosic participants , 2006, Neuropsychologia.
[26] J. Heckman. Skill Formation and the Economics of Investing in Disadvantaged Children , 2006, Science.
[27] Carter Wendelken,et al. Neurocognitive development of the ability to manipulate information in working memory. , 2006, Proceedings of the National Academy of Sciences of the United States of America.
[28] D. Maurer,et al. Multiple sensitive periods in human visual development: evidence from visually deprived children. , 2005, Developmental psychobiology.
[29] P N Johnson-Laird,et al. Reasoning about relations. , 2005, Psychological review.
[30] 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.
[31] P. Kuhl. Early language acquisition: cracking the speech code , 2004, Nature Reviews Neuroscience.
[32] S. Dehaene,et al. THREE PARIETAL CIRCUITS FOR NUMBER PROCESSING , 2003, Cognitive neuropsychology.
[33] Hyeonjoon Moon,et al. The FERET evaluation methodology for face-recognition algorithms , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[34] S. Carey,et al. Development of face recognition: A maturational component? , 1980 .
[35] F. Spicer. Adolescence , 1909, The Hospital.
[36] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[37] Floyd C. Mace,et al. Schedules of reinforcement , 2011 .
[38] Torkel Klingberg,et al. Training and transfer effects of executive functions in preschool children. , 2009, Developmental science.