Intra‐individual variability in task performance after cognitive training is associated with long‐term outcomes in children
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E. Fehr | T. Hare | A. Cubillo | D. Schunk | H. Hermes | E. Berger | K. Winkel | Ana Cubillo | Ana Cubillo | Henning Hermes | Eva Berger | Kirsten Winkel | Daniel Schunk | Todd A Hare | Henning Hermes | Eva M. Berger
[1] J. Karbach,et al. Toward a Science of Effective Cognitive Training , 2020, Current Directions in Psychological Science.
[2] O. Houdé,et al. Complex and subtle structural changes in prefrontal cortex induced by inhibitory control training from childhood to adolescence. , 2020, Developmental science.
[3] E. Fehr,et al. The Impact of Working Memory Training on Children’s Cognitive and Noncognitive Skills , 2020, SSRN Electronic Journal.
[4] Michael S. C. Thomas,et al. First demonstration of effective spatial training for near transfer to spatial performance and far transfer to a range of mathematics skills at 8 years , 2019, Developmental science.
[5] B. J. Casey,et al. Distinct and similar patterns of emotional development in adolescents and young adults , 2019, Developmental psychobiology.
[6] F. Gobet,et al. Working memory training in typically developing children: A multilevel meta-analysis , 2019, Psychonomic Bulletin & Review.
[7] A. Adlam,et al. The academic outcomes of working memory and metacognitive strategy training in children: A double‐blind randomized controlled trial , 2019, Developmental science.
[8] Finnegan J. Calabro,et al. Working memory improves developmentally as neural processes stabilize , 2019, PloS one.
[9] Charan Ranganath,et al. Adaptive task difficulty influences neural plasticity and transfer of training , 2019, NeuroImage.
[10] L. Nyberg,et al. Working memory training mostly engages general-purpose large-scale networks for learning , 2018, Neuroscience & Biobehavioral Reviews.
[11] M. Tomasik,et al. Trajectories of Academic Performance Across Compulsory Schooling and Thriving in Young Adulthood. , 2018, Child development.
[12] Shu-Chen Li,et al. Long-term impacts of prenatal synthetic glucocorticoids exposure on functional brain correlates of cognitive monitoring in adolescence , 2018, Scientific reports.
[13] Przemyslaw Biecek,et al. Explanations of model predictions with live and breakDown packages , 2018, R J..
[14] Anders M. Dale,et al. The Adolescent Brain Cognitive Development (ABCD) study: Imaging acquisition across 21 sites , 2018, Developmental Cognitive Neuroscience.
[15] R. Engle. Working Memory and Executive Attention: A Revisit , 2018, Perspectives on psychological science : a journal of the Association for Psychological Science.
[16] S. Calkins,et al. Attentional fluctuations in preschoolers: Direct and indirect relations with task accuracy, academic readiness, and school performance. , 2018, Journal of experimental child psychology.
[17] E. Mohammadi,et al. Barriers and facilitators related to the implementation of a physiological track and trigger system: A systematic review of the qualitative evidence , 2017, International journal for quality in health care : journal of the International Society for Quality in Health Care.
[18] Paul-Christian Bürkner,et al. brms: An R Package for Bayesian Multilevel Models Using Stan , 2017 .
[19] Finnegan J. Calabro,et al. The expression of established cognitive brain states stabilizes with working memory development , 2017, eLife.
[20] Paul-Christian Bürkner,et al. Advanced Bayesian Multilevel Modeling with the R Package brms , 2017, R J..
[21] S. Bauermeister,et al. This is a repository copy of A Systematic Review of Longitudinal Associations Between Reaction Time Intraindividual Variability and Age-Related Cognitive Decline or Impairment , Dementia , and Mortality , 2018 .
[22] Y. Yeshurun,et al. Large inter-individual and intra-individual variability in the effect of perceptual load , 2017, PloS one.
[23] N. Unsworth,et al. A locus coeruleus-norepinephrine account of individual differences in working memory capacity and attention control , 2017, Psychonomic bulletin & review.
[24] R. Parasuraman,et al. The mechanisms of far transfer from cognitive training: Review and hypothesis. , 2016, Neuropsychology.
[25] A. Gelman,et al. Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC , 2016, Statistics and Computing.
[26] F. Schmiedek,et al. Fluctuations in elementary school children’s working memory performance in the school context. , 2016 .
[27] Thomas S. Redick,et al. Working Memory Training Does Not Improve Performance on Measures of Intelligence or Other Measures of “Far Transfer” , 2016, Perspectives on psychological science : a journal of the Association for Psychological Science.
[28] M. Wake,et al. Academic Outcomes 2 Years After Working Memory Training for Children With Low Working Memory: A Randomized Clinical Trial. , 2016, JAMA pediatrics.
[29] Scott D. Brown,et al. Diffusion Decision Model: Current Issues and History , 2016, Trends in Cognitive Sciences.
[30] R. Ratcliff,et al. Sequential Sampling Models in Cognitive Neuroscience: Advantages, Applications, and Extensions. , 2016, Annual review of psychology.
[31] A. Lansner,et al. Neurocognitive Architecture of Working Memory , 2015, Neuron.
[32] Todd A. Hare,et al. A Common Mechanism Underlying Food Choice and Social Decisions , 2015, PLoS Comput. Biol..
[33] Zhang Yu-Xuan,et al. Working Memory Training , 2020, Cognitive Training.
[34] Aki Vehtari,et al. Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC , 2015, Statistics and Computing.
[35] Ernst Fehr,et al. Rethinking fast and slow based on a critique of reaction-time reverse inference , 2015, Nature Communications.
[36] Torkel Klingberg,et al. The role of fronto-parietal and fronto-striatal networks in the development of working memory: a longitudinal study. , 2015, Cerebral cortex.
[37] M. Bellgrove,et al. Left anterior cingulate activity predicts intra-individual reaction time variability in healthy adults , 2015, Neuropsychologia.
[38] J. Karbach,et al. The benefits of looking at intraindividual dynamics in cognitive training data , 2015, Front. Psychol..
[39] Torsten Schubert,et al. Adaptive working-memory training benefits reading, but not mathematics in middle childhood , 2015, Child neuropsychology : a journal on normal and abnormal development in childhood and adolescence.
[40] Giles L. Colclough,et al. Cognitive Training Enhances Intrinsic Brain Connectivity in Childhood , 2015, The Journal of Neuroscience.
[41] F. Fischer,et al. Does Working Memory Training Transfer? A Meta-Analysis Including Training Conditions as Moderators , 2015 .
[42] Torkel Klingberg,et al. Benefits of a Working Memory Training Program for Inattention in Daily Life: A Systematic Review and Meta-Analysis , 2015, PloS one.
[43] N. Unsworth. Consistency of attentional control as an important cognitive trait: A latent variable analysis , 2015 .
[44] J. Buitelaar,et al. Cognitive Training for Attention-Deficit/Hyperactivity Disorder: Meta-Analysis of Clinical and Neuropsychological Outcomes From Randomized Controlled Trials , 2015, Journal of the American Academy of Child and Adolescent Psychiatry.
[45] T. Bogg,et al. Reliable gains? Evidence for substantially underpowered designs in studies of working memory training transfer to fluid intelligence , 2015, Front. Psychol..
[46] S. Durston,et al. Capturing the dynamics of response variability in the brain in ADHD , 2014, NeuroImage: Clinical.
[47] E. Leibenluft,et al. Increased intrasubject variability in response time in unaffected preschoolers at familial risk for bipolar disorder , 2014, Psychiatry Research.
[48] K. Oberauer,et al. Effects and mechanisms of working memory training: a review , 2013, Psychological Research.
[49] J. Karbach,et al. Making Working Memory Work , 2014, Psychological science.
[50] Stephan Bender,et al. Annual research review: Reaction time variability in ADHD and autism spectrum disorders: measurement and mechanisms of a proposed trans-diagnostic phenotype. , 2014, Journal of child psychology and psychiatry, and allied disciplines.
[51] J. Karbach,et al. Executive control training from middle childhood to adolescence , 2014, Front. Psychol..
[52] M. Ding,et al. Change in intraindividual variability over time as a key metric for defining performance-based cognitive fatigability , 2014, Brain and Cognition.
[53] Thomas V. Wiecki,et al. Eye tracking and pupillometry are indicators of dissociable latent decision processes. , 2014, Journal of experimental psychology. General.
[54] Julia Karbach,et al. Working memory and executive functions: effects of training on academic achievement , 2014, Psychological research.
[55] Viktor Müller,et al. Lower theta inter-trial phase coherence during performance monitoring is related to higher reaction time variability: A lifespan study , 2013, NeuroImage.
[56] Angela L. Duckworth,et al. From Fantasy to Action , 2013, Social psychological and personality science.
[57] Anders M. Dale,et al. Longitudinal Working Memory Development Is Related to Structural Maturation of Frontal and Parietal Cortices , 2013, Journal of Cognitive Neuroscience.
[58] Joseph S. Raiker,et al. Reaction time variability in ADHD: a meta-analytic review of 319 studies. , 2013, Clinical psychology review.
[59] Thomas V. Wiecki,et al. HDDM: Hierarchical Bayesian estimation of the Drift-Diffusion Model in Python , 2013, Front. Neuroinform..
[60] C. Huang-Pollock,et al. Integrating Impairments in Reaction Time and Executive Function Using a Diffusion Model Framework , 2013, Journal of abnormal child psychology.
[61] Mark H. Johnson,et al. Training attentional control and working memory - Is younger, better? , 2012 .
[62] Anirban Banerjee,et al. Effects of Age on the Structure of Functional Connectivity Networks During Episodic and Working Memory Demand , 2012, Brain Connect..
[63] Huijun Tang,et al. The impact of auditory working memory training on the fronto-parietal working memory network , 2012, Front. Hum. Neurosci..
[64] Andrew R. A. Conway,et al. Variation in Working Memory Capacity as Variation in Executive Attention and Control , 2012 .
[65] Susanne M. Jaeggi,et al. Developmental Cognitive Neuroscience Neuronal Effects following Working Memory Training , 2022 .
[66] A. Nobre,et al. Top-down modulation: bridging selective attention and working memory , 2012, Trends in Cognitive Sciences.
[67] Lars T Westlye,et al. Becoming Consistent: Developmental Reductions in Intraindividual Variability in Reaction Time Are Related to White Matter Integrity , 2012, The Journal of Neuroscience.
[68] Kelly B. Cartwright,et al. Insights From Cognitive Neuroscience: The Importance of Executive Function for Early Reading Development and Education , 2012 .
[69] Stef van Buuren,et al. MICE: Multivariate Imputation by Chained Equations in R , 2011 .
[70] G. Gioia,et al. Response-Time Variability Is Related to Parent Ratings of Inattention, Hyperactivity, and Executive Function , 2011, Journal of attention disorders.
[71] A. Rangel,et al. Multialternative drift-diffusion model predicts the relationship between visual fixations and choice in value-based decisions , 2011, Proceedings of the National Academy of Sciences.
[72] Christopher W. N. Saville,et al. On the stability of instability: Optimising the reliability of intra-subject variability of reaction times , 2011 .
[73] Don van Ravenzwaaij,et al. An integrated perspective on the relation between response speed and intelligence , 2011, Cognition.
[74] G. Scerif,et al. Interactions between attention and visual short-term memory (VSTM): What can be learnt from individual and developmental differences? , 2011, Neuropsychologia.
[75] David J. McKenzie,et al. Beyond Baseline and Follow-Up: The Case for More T in Experiments , 2011 .
[76] Theodore P. Zanto,et al. Causal role of the prefrontal cortex in top-down modulation of visual processing and working memory , 2011, Nature Neuroscience.
[77] E. Vogel,et al. Individual Differences in Recovery Time From Attentional Capture , 2011, Psychological science.
[78] Alexandra B. Morrison,et al. Does working memory training work? The promise and challenges of enhancing cognition by training working memory , 2011, Psychonomic bulletin & review.
[79] Katherine A. Johnson,et al. Separation of cognitive impairments in attention-deficit/hyperactivity disorder into 2 familial factors. , 2010, Archives of general psychiatry.
[80] T. Klingberg. Training and plasticity of working memory , 2010, Trends in Cognitive Sciences.
[81] S. MacDonald,et al. Neural underpinnings of within-person variability in cognitive functioning. , 2009, Psychology and aging.
[82] Ulman Lindenberger,et al. On the relation of mean reaction time and intraindividual reaction time variability. , 2009, Psychology and aging.
[83] Werner Hamacher,et al. In the Relation , 2021, Fragments of the City.
[84] H. Forssberg,et al. Changes in Cortical Dopamine D1 Receptor Binding Associated with Cognitive Training , 2009, NeuroImage.
[85] H. Geurts,et al. Intra-individual variability in ADHD, autism spectrum disorders and Tourette's syndrome , 2008, Neuropsychologia.
[86] Lars Bäckman,et al. Transfer of Learning After Updating Training Mediated by the Striatum , 2008, Science.
[87] Bharat B. Biswal,et al. Competition between functional brain networks mediates behavioral variability , 2008, NeuroImage.
[88] Anders M. Fjell,et al. White matter volume predicts reaction time instability , 2007, Neuropsychologia.
[89] B. Postle,et al. The cognitive neuroscience of working memory. , 2007, Annual review of psychology.
[90] S. Bunge,et al. Neurodevelopmental changes in working memory and cognitive control , 2007, Current Opinion in Neurobiology.
[91] Christoph Klein,et al. Intra-Subject Variability in Attention-Deficit Hyperactivity Disorder , 2006, Biological Psychiatry.
[92] S. MacDonald,et al. Intra-individual variability in behavior: links to brain structure, neurotransmission and neuronal activity , 2006, Trends in Neurosciences.
[93] 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.
[94] J. Swanson,et al. Reaction Time Distribution Analysis of Neuropsychological Performance in an ADHD Sample , 2006, Child neuropsychology : a journal on normal and abnormal development in childhood and adolescence.
[95] A. Meyer-Lindenberg,et al. Neurophysiological correlates of age-related changes in working memory capacity , 2006, Neuroscience Letters.
[96] F. Castellanos,et al. Varieties of Attention-Deficit/Hyperactivity Disorder-Related Intra-Individual Variability , 2005, Biological Psychiatry.
[97] Kathryn M. McMillan,et al. N‐back working memory paradigm: A meta‐analysis of normative functional neuroimaging studies , 2005, Human brain mapping.
[98] Bruce D. McCandliss,et al. Development of attentional networks in childhood , 2004, Neuropsychologia.
[99] M. Bellgrove,et al. The functional neuroanatomical correlates of response variability: evidence from a response inhibition task , 2004, Neuropsychologia.
[100] Wolfgang Prinz,et al. Transformations in the Couplings Among Intellectual Abilities and Constituent Cognitive Processes Across the Life Span , 2004, Psychological science.
[101] Edward E. Smith,et al. Neuroimaging studies of working memory: , 2003, Cognitive, affective & behavioral neuroscience.
[102] D. Stuss,et al. Staying on the job: the frontal lobes control individual performance variability. , 2003, Brain : a journal of neurology.
[103] A. Becker,et al. Normierung und Evaluation der deutschen Elternversion des Strengths and Difficulties Questionnaire (SDQ): Ergebnisse einer repräsentativen Felderhebung , 2002 .
[104] M. Corbetta,et al. Control of goal-directed and stimulus-driven attention in the brain , 2002, Nature Reviews Neuroscience.
[105] J E Desmond,et al. Age differences in prefrontal cortical activity in working memory. , 2001, Psychology and aging.
[106] Michael J. Frank,et al. Interactions between frontal cortex and basal ganglia in working memory: A computational model , 2001, Cognitive, affective & behavioral neuroscience.
[107] A Baddeley,et al. The fractionation of working memory. , 1996, Proceedings of the National Academy of Sciences of the United States of America.
[108] T. Achenbach. Manual for the child behavior checklist/4-18 and 1991 profile , 1991 .
[109] C. Edelbrock,et al. Manual for the Child: Behavior Checklist and Revised Child Behavior Profile , 1983 .
[110] D. Norman,et al. Attention to Action: Willed and Automatic Control of Behavior Technical Report No. 8006. , 1980 .
[111] T. Ward,et al. Insights from Cognitive Neuroscience , 2019, Cognitive Psychodynamics as an Integrative Framework in Counselling Psychology and Psychotherapy.
[112] E. Fehr,et al. Development of Behavioral Control and Associated vmPFC-DLPFC Connectivity Explains Children's Increased Resistance to Temptation in Intertemporal Choice. , 2016, Cerebral cortex.
[113] Susanne M. Jaeggi,et al. Improving fluid intelligence with training on working memory: a meta-analysis , 2015, Psychonomic bulletin & review.
[114] Joachim Vandekerckhove,et al. Extending JAGS: A tutorial on adding custom distributions to JAGS (with a diffusion model example) , 2013, Behavior Research Methods.
[115] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[116] Joseph S. Raiker,et al. Reaction time variability in ADHD , 2013 .
[117] E. Smith,et al. Neuroimaging studies of working memory: A meta-analysis , 2010 .
[118] Beatriz Luna,et al. Development of working memory maintenance. , 2009, Journal of neurophysiology.
[119] T. Klingberg,et al. Prefrontal cortex and basal ganglia control access to working memory , 2008, Nature Neuroscience.
[120] E. Strauss,et al. Inconsistency in reaction time across the life span. , 2005, Neuropsychology.
[121] Martyn Plummer,et al. JAGS: A program for analysis of Bayesian graphical models using Gibbs sampling , 2003 .
[122] Alan D. Baddeley,et al. Attention: Selection, Awareness, and Control , 1993 .
[123] Gerald E. Larson,et al. Cognitive correlates of general intelligence: Toward a process theory of g , 1989 .