obtain more insight into the development of decision making, reinforcement learning, risk taking and motivation.
often using advanced statistical or mathematical techniques.
also study societally relevant questions. For example, we study risk taking by adolescents diagnosed with ADHD and by adolescents with a mild to borderline intellectual disability. We also study adolescents' climate friendly choices, their school meritocracy beliefs, their academic buoyancy, and adolescent specific ways to manage symptoms of psychopathology.
Kramer, A. W., Krabbendam, L., Schaaf, J. V., Huizenga, H. M., & Van Duijvenvoorde, A. C. K. (2025). Make it worth it: Effort-reward modulations on reinforcement-learning and prediction-error signaling across adolescence. Developmental Cognitive Neuroscience, 73, Article 101559. https://doi.org/10.1016/j.dcn.2025.101559[details]
Schaaf, J. V., Miletić, S., van Duijvenvoorde, A. C. K., & Huizenga, H. M. (2025). Interpretation of individual differences in computational neuroscience using a latent input approach. Developmental Cognitive Neuroscience, 72, Article 101512. https://doi.org/10.1016/j.dcn.2025.101512[details]
Vel Tromp, M. J. B., Huizenga, H. M., Jansen, B. R. J., van Duijvenvoorde, A. C. K., & Veer, I. M. (2025). Investigating Neural Reward Sensitivity in the School Grade Incentive Delay Task and Its Relation to Academic Buoyancy. Behavioral Sciences, 15(10), Article 1321. https://doi.org/10.3390/bs15101321[details]
Blankenstein, N. E., van Hoorn, J., Dekkers, T. J., Popma, A., Jansen, B. R. J., Weber, E. U., Pollak, Y., Figner, B. C., Crone, E. A., Huizenga, H. M., & van Duijvenvoorde, A. C. K. (2024). Adolescent risk-taking likelihood, risk perceptions, and benefit perceptions across domains. Personality and Individual Differences, 231, Article 112806. https://doi.org/10.1016/j.paid.2024.112806[details]
Crone, E. A., Bol, T., Braams, B. R., de Rooij, M., Franke, B., Franken, I., Gazzola, V., Güroğlu, B., Huizenga, H., Hulshoff Pol, H., Keijsers, L., Keysers, C., Krabbendam, L., Jansen, L., Popma, A., Stulp, G., van Atteveldt, N., van Duijvenvoorde, A., & Veenstra, R. (2024). Growing Up Together in Society (GUTS): A team science effort to predict societal trajectories in adolescence and young adulthood. Developmental Cognitive Neuroscience, 67, Article 101403. https://doi.org/10.1016/j.dcn.2024.101403[details]
Kramer, A.-W., Huizenga, H. M., Van Duijvenvoorde, A. C. K., & Krabbendam, L. (2024). Do I want to learn today? Day-to-day variations in adolescents’ academic motivation and effort. Learning and Motivation, 85, Article 101957. https://doi.org/10.1016/j.lmot.2023.101957[details]
Schaaf, J. V., Johansson, A., Visser, I., & Huizenga, H. M. (2024). What’s in a name: The role of verbalization in reinforcement learning. Psychonomic Bulletin and Review, 31(6), 2746–2757. https://doi.org/10.3758/s13423-024-02506-3[details]
Wagemaker, E., Salemink, E., Huizenga, H. M., Bart, H. F., Dekkers, T. J., & Bexkens, A. (2024). How to support peer resistance in adolescents with mild-to-borderline intellectual disability? Intervention development and feasibility. Journal of Applied Research in Intellectual Disabilities, 37(3), Article e13216. https://doi.org/10.1111/jar.13216[details]
Huizenga, H. M., Zadelaar, J. N., Jansen, B. R. J., Olthof, M. C., Steingroever, H., Dekkers, L. M. S., van Duijvenvoorde, A. C. K., Figner, B., & Agelink van Rentergem, J. (2023). Formal Models of Differential Framing Effects in Decision Making Under Risk. Decision, 10(3), 197–234. https://doi.org/10.1037/dec0000201[details]
Ikink, I., van Duijvenvoorde, A. C. K., Huizenga, H., Roelofs, K., & Figner, B. (2023). Age differences in intertemporal choice among children, adolescents, and adults. Journal of Experimental Child Psychology, 233, Article 105691. https://doi.org/10.1016/j.jecp.2023.105691[details]
Kramer, A.-W., & Huizenga, H. M. (2023). Raven’s Standard Progressive Matrices for Adolescents: A Case for a Shortened Version. Journal of Intelligence, 11(4), Article 72. https://doi.org/10.3390/jintelligence11040072[details]
Kramer, A.-W., Schaaf, J. V., & Huizenga, H. M. (2023). How much do you want to learn? High-school students' willingness to invest effort in valenced feedback-learning tasks. Learning and Individual Differences, 108, Article 102375. https://doi.org/10.1016/j.lindif.2023.102375[details]
Wesarg-Menzel, C., Ebbes, R., Hensums, M., Wagemaker, E., Zaharieva, M. S., Staaks, J. P. C., van den Akker, A. L., Visser, I., Hoeve, M., Brummelman, E., Dekkers, T. J., Schuitema, J. A., Larsen, H., Colonnesi, C., Jansen, B. R. J., Overbeek, G., Huizenga, H. M., & Wiers, R. W. (2023). Development and socialization of self-regulation from infancy to adolescence: A meta-review differentiating between self-regulatory abilities, goals, and motivation. Developmental Review, 69, Article 101090. https://doi.org/10.1016/j.dr.2023.101090[details]
Jepma, M., Schaaf, J. V., Visser, I., & Huizenga, H. M. (2022). Impaired learning to dissociate advantageous and disadvantageous risky choices in adolescents. Scientific Reports, 12, Article 6490. https://doi.org/10.1038/s41598-022-10100-7[details]
Langener, A. M., Kramer, A.-W., van den Bos, W., & Huizenga, H. M. (2022). A shortened version of Raven’s standard progressive matrices for children and adolescents. British Journal of Developmental Psychology, 40(1), 35-45. https://doi.org/10.1111/bjdp.12381[details]
Larsen, H., Kuhns, L., Kramer, A.-W., Huizenga, H. M., Wiers, R. W., Anderson, K. G., & Cousijn, J. (2022). Social multi-sensory alcohol cue reactivity and ad libitum social drinking: an fMRI study. Addiction Neuroscience, 4, Article 100039. https://doi.org/10.1016/j.addicn.2022.100039[details]
Niebaum, J. C., Kramer, A.-W., Huizenga, H. M., & van den Bos, W. (2022). Adolescents sample more information prior to decisions than adults when effort costs increase. Developmental Psychology, 58(10), 1974–1985. https://doi.org/10.1037/dev0001397[details]
Schaaf, J. V., Xu, B., Jepma, M., Visser, I., & Huizenga, H. M. (2022). (Mal)Adaptive Learning After Switches Between Object-Based and Rule-Based Environments. Computational Brain & Behavior, 5(2), 157-167. https://doi.org/10.1007/s42113-022-00134-5[details]
Wagemaker, E., Dekkers, T. J., Bexkens, A., Salemink, E., Zadelaar, J. N., & Huizenga, H. M. (2022). Susceptibility to peer influence in adolescents with mild-to-borderline intellectual disability: Investigating links with inhibition, Theory of Mind and negative interpretation bias. Journal of Intellectual & Developmental Disability, 47(4), 376-390 . https://doi.org/10.3109/13668250.2022.2066511[details]
van Hoorn, J., de Water, E., Dekkers, T. J., Pollak, Y., Popma, A., Jansen, B. R. J., Huizenga, H. M., & van Duijvenvoorde, A. C. K. (2022). Peer feedback decreases impulsive choice in adolescents with and without attention‐deficit/hyperactivity disorder. JCPP Advances, 2(1), Article e12065. https://doi.org/10.1002/jcv2.12065[details]
Dekkers, T. J., Agelink van Rentergem , J. A., Huizenga, H. M., Popma, A., Raber, H., Shoham, R., & Pollak, Y. (2021). Decision-Making Deficits in ADHD Are Not Related to Risk Seeking But to Suboptimal Decision-Making: Meta-Analytical and Novel Experimental Evidence. Journal of Attention Disorders, 25(4), 486-501. https://doi.org/10.1177/1087054718815572[details]
Dekkers, T. J., Huizenga, H. M., Bult, J., Popma, A., & Boyer, B. E. (2021). The importance of parental knowledge in the association between ADHD symptomatology and related domains of impairment. European Child & Adolescent Psychiatry, 30(4), 657-669. https://doi.org/10.1007/s00787-020-01579-4[details]
Huizenga, H. M., Zadelaar, J., & Jansen, B. R. J. (2021). Quantitative or qualitative development in decision making? Journal of Experimental Child Psychology, 210, Article 105198. https://doi.org/10.1016/j.jecp.2021.105198[details]
Jepma, M., Schaaf, J. V., Visser, I., & Huizenga, H. M. (2021). Effects of advice on experienced-based learning in adolescents and adults. Journal of Experimental Child Psychology, 211, Article 105230. https://doi.org/10.1016/j.jecp.2021.105230[details]
Kramer, A.-W., Van Duijvenvoorde, A. C. K., Krabbendam, L., & Huizenga, H. M. (2021). Individual differences in adolescents’ willingness to invest cognitive effort: Relation to need for cognition, motivation and cognitive capacity. Cognitive Development, 57, Article 100978. https://doi.org/10.1016/j.cogdev.2020.100978[details]
Zadelaar, J. N., Agelink van Rentergem, J. A., Schaaf, J. V., Dekkers, T. J., de Vent, N., Dekkers, L. M. S., Olthof, M. C., Jansen, B. R. J., & Huizenga, H. M. (2021). Development of decision making based on internal and external information: A hierarchical Bayesian approach. Judgment and Decision Making, 16(6), 1413-1438. https://doi.org/10.1017/S1930297500008482[details]
Zadelaar, J., Agelink van Rentergem Zandvliet, J., Schaaf, J., Dekkers, T., de Vent, N., Dekkers, L., Jansen, B. & Huizenga, H. (2020). Decision Making Based On Internal And External Information (Codes and Supplementary Materials). Mendeley Data. https://doi.org/10.17632/27fhx4f2k3.1
2020
Agelink van Rentergem, J. A., de Vent, N. R., Schmand, B. A., Murre, J. M. J., Staaks, J. P. C., ANDI Consortium, & Huizenga, H. M. (2020). The Factor Structure of Cognitive Functioning in Cognitively Healthy Participants: a Meta-Analysis and Meta-Analysis of Individual Participant Data. Neuropsychology Review, 30(1), 51-96. https://doi.org/10.1007/s11065-019-09423-6[details]
Dekkers, T. J., Huizenga, H. M., Popma, A., Bexkens, A., Zadelaar, J. N., & Jansen, B. R. J. (2020). Decision-Making Deficits in Adolescent Boys with and without Attention-Deficit/Hyperactivity Disorder (ADHD): an Experimental Assessment of Associated Mechanisms. Journal of Abnormal Child Psychology, 48(4), 495-510. https://doi.org/10.1007/s10802-019-00613-7[details]
Dekkers, T. J., Popma, A., Sonuga-Barke, E. J. S., Oldenhof, H., Bexkens, A., Jansen, B. R. J., & Huizenga, H. M. (2020). Risk Taking by Adolescents with Attention-Deficit/Hyperactivity Disorder (ADHD): a Behavioral and Psychophysiological Investigation of Peer Influence. Journal of Abnormal Child Psychology, 48(9), 1129-1141. https://doi.org/10.1007/s10802-020-00666-z[details]
Gazendam, F. J., Krypotos, A.-M., Kamphuis, J. H., van der Leij, A. R., Huizenga, H. M. H., Eigenhuis, A., & Kindt, M. (2020). From adaptive to maladaptive fear: Heterogeneity in threat and safety learning across response systems in a representative sample. International Journal of Psychophysiology, 158, 271-287. https://doi.org/10.1016/j.ijpsycho.2020.09.017[details]
Jepma, M., Schaaf, J. V., Visser, I., & Huizenga, H. M. (2020). Uncertainty-driven regulation of learning and exploration in adolescents: A computational account. PLoS Computational Biology, 16(9), Article e1008276. https://doi.org/10.1371/journal.pcbi.1008276[details]
Kramer, A.-W., Huizenga, H. M., Krabbendam, L., & van Duijvenvoorde, A. C. K. (2020). Is It Worth It? How Your Brain Decides to Make an Effort. Frontiers for Young Minds, 8, Article 73. https://doi.org/10.3389/frym.2020.00073[details]
Wagemaker, E., Huizenga, H. M., Dekkers, T. J., Collot D'Escury-Koenigs, A. M. L., Salemink, E., & Bexkens, A. (2020). When Do those “Risk-Taking Adolescents” Take Risks? The Combined Effects of Risk Encouragement by Peers, Mild-to-Borderline Intellectual Disability and Sex. Journal of Abnormal Child Psychology, 48(4), 573-587. https://doi.org/10.1007/s10802-020-00617-8[details]
Zadelaar, J. N., Dekkers, T. J., & Huizenga, H. M. (2020). The association between risky decision making and attention‐deficit/hyperactivity disorder symptoms: A preregistered assessment of need for cognition as underlying mechanism. Journal of Behavioral Decision Making, 33(5), 579-592. https://doi.org/10.1002/bdm.2177[details]
de Vent, N. R., Agelink van Rentergem, J. A., Huizenga, H. M., van der Flier, W. M., Sikkes, S. A. M., Murre, J. M. J., van den Bosch, K. A., Scheltens, P., & Schmand, B. A. (2020). An Operational Definition of ‘Abnormal Cognition’ to Optimize the Prediction of Progression to Dementia: What Are Optimal Cut-Off Points for Univariate and Multivariate Normative Comparisons? Journal of Alzheimer's Disease, 77(4), 1693-1703. https://doi.org/10.3233/JAD-200811[details]
Agelink van Rentergem, J. A., de Vent, N. R., Huizenga, H. M., Murre, J. M. J., & Schmand, B. A. (2019). Predicting Progression to Parkinson's Disease Dementia Using Multivariate Normative Comparisons. Journal of the International Neuropsychological Society, 25(7), 678-687. https://doi.org/10.1017/S1355617719000298[details]
Bexkens, A., Huizenga, H. M., Neville, D. A., Collot d'Escury-Koenigs, A. L., Bredman, J. C., Wagemaker, E., & Van der Molen, M. W. (2019). Peer-Influence on Risk-Taking in Male Adolescents with Mild to Borderline Intellectual Disabilities and/or Behavior Disorders. Journal of Abnormal Child Psychology, 47(3), 543-555. https://doi.org/10.1007/s10802-018-0448-0[details]
Dekkers, L. M. S., Bexkens, A., Hofman, A. D., De Boeck, P., Collot d'Escury, A. L., & Huizenga, H. M. (2019). Formal Modeling of the Resistance to Peer Influence Questionnaire: A Comparison of Adolescent Boys and Girls With and Without Mild-to-Borderline Intellectual Disability. Assessment, 26(6), 1070-1083 . https://doi.org/10.1177/1073191117698754[details]
Dekkers, T. J., Agelink van Rentergem, J. A., Meijer, B., Popma, A., Wagemaker, E., & Huizenga, H. M. (2019). A meta-analytical evaluation of the dual-hormone hypothesis: Does cortisol moderate the relationship between testosterone and status, dominance, risk taking, aggression, and psychopathy? Neuroscience and Biobehavioral Reviews, 96, 250-271. https://doi.org/10.1016/j.neubiorev.2018.12.004[details]
Liu, Y., van den Wildenberg, W. P. M., de Graaf, Y., Ames, S. L., Baldacchino, A., Bø, R., Cadaveira, F., Campanella, S., Christiansen, P., Claus, E. D., Colzato, L. S., Filbey, F. M., Foxe, J. J., Garavan, H., Hendershot, C. S., Hester, R., Jester, J. M., Karoly, H. C., Kräplin, A., ... Wiers, R. W. (2019). Is (poly-) substance use associated with impaired inhibitory control? A mega-analysis controlling for confounders. Neuroscience and Biobehavioral Reviews, 105, 288-304. https://doi.org/10.1016/j.neubiorev.2019.07.006[details]
Pollak, Y., Dekkers, T. J., Shoham, R., & Huizenga, H. M. (2019). Risk-Taking Behavior in Attention Deficit/Hyperactivity Disorder (ADHD): a Review of Potential Underlying Mechanisms and of Interventions. Current psychiatry reports, 21(5), Article 33. https://doi.org/10.1007/s11920-019-1019-y[details]
Schaaf, J. V., Jepma, M., Visser, I., & Huizenga, H. M. (2019). A hierarchical Bayesian approach to assess learning and guessing strategies in reinforcement learning. Journal of Mathematical Psychology, 93, Article 102276. https://doi.org/10.1016/j.jmp.2019.102276[details]
Steingroever, H., Jepma, M., Lee, M. D., Jansen, B. R. J., & Huizenga, H. M. (2019). Detecting Strategies in Developmental Psychology. Computational Brain & Behavior, 2(2), 128-140. https://doi.org/10.1007/s42113-019-0024-x[details]
Verburg, M., Snellings, P., Zeguers, M. H. T., & Huizenga, H. M. (2019). Positive-blank versus negative-blank feedback learning in children and adults. The Quarterly Journal of Experimental Psychology, 72(4), 753-763. https://doi.org/10.1177/1747021818769038[details]
Zadelaar, J. N., Weeda, W. D., Waldorp, L. J., van Duijvenvoorde, A. C. K., Blankenstein, N. E., & Huizenga, H. M. (2019). Are individual differences quantitative or qualitative? An integrated behavioral and fMRI MIMIC approach. NeuroImage, 202, Article 116058. https://doi.org/10.1016/j.neuroimage.2019.116058[details]
Agelink van Rentergem, J. A., de Vent, N. R., Schmand, B. A., Murre, J. M. J., & Huizenga, H. M. (2018). Multivariate normative comparisons for neuropsychological assessment by a multilevel factor structure or multiple imputation approach. Psychological Assessment, 30(4), 436-449. https://doi.org/10.1037/pas0000489[details]
Zeguers, M. H. T., Huizenga, H. M., van der Molen, M. W., & Snellings, P. (2018). Time course analyses of orthographic and phonological priming effects in developing readers. The Quarterly Journal of Experimental Psychology, 71(8), 1672-1686. https://doi.org/10.1080/17470218.2017.1345958[details]
de Vent, N. R., Agelink van Rentergem, J. A., Kerkmeer, M. C., Huizenga, H. M., Schmand, B. A., & Murre, J. M. J. (2018). Universal Scale of Intelligence -Estimated (USIE): Representing intelligence estimated from level of education. Assessment, 25(5), 557-563. https://doi.org/10.1177/1073191116659133[details]
Agelink van Rentergem Zandvliet, J. A., Murre, J. M. J., & Huizenga, H. M. (2017). Multivariate normative comparisons using an aggregated database. PLoS ONE, 12(3), Article e0173218. https://doi.org/10.1371/journal.pone.0173218[details]
Dekkers, L. M. S., Jansen, B. R. J., Salemink, E., & Huizenga, H. M. (2017). Intolerance of Uncertainty Scale: Measurement invariance among adolescent boys and girls and relationships with anxiety and risk taking. Journal of Behavior Therapy and Experimental Psychiatry, 55, 57-65. https://doi.org/10.1016/j.jbtep.2016.11.009[details]
Dekkers, T. J., Agelink van Rentergem, J. A., Koole, A., van den Wildenberg, W. P. M., Popma, A., Bexkens, A., Stoffelsen, R., Diekmann, A., & Huizenga, H. M. (2017). Time-on-task effects in children with and without ADHD: Depletion of executive resources or depletion of motivation? European Child & Adolescent Psychiatry, 26(12), 1471-1481. https://doi.org/10.1007/s00787-017-1006-y[details]
Wagemaker, E., Dekkers, T. J., Agelink van Rentergem, J. A., Volkers, K. M., & Huizenga, H. M. (2017). Advances in Mental Health Care: Five N = 1 Studies on the Effects of the Robot Seal Paro in Adults With Severe Intellectual Disabilities. Journal of Mental Health Research in Intellectual Disabilities, 10(4), 309-320. https://doi.org/10.1080/19315864.2017.1320601[details]
Zadelaar, J. N., Agelink van Rentergem, J. A., & Huizenga, H. M. (2017). Univariate comparisons given aggregated normative data. The Clinical Neuropsychologist, 31(6-7), 1155-1172. https://doi.org/10.1080/13854046.2017.1348542[details]
Bexkens, A., Jansen, B. R. J., van der Molen, M. W., & Huizenga, H. M. (2016). Cool decision-making in adolescents with Behavior Disorder and/or Mild-to-Borderline Intellectual Disability. Journal of Abnormal Child Psychology, 44(2), 357-367. https://doi.org/10.1007/s10802-015-9996-8[details]
Dekkers, T. J., Popma, A., Agelink van Rentergem, J. A., Bexkens, A., & Huizenga, H. M. (2016). Risky decision making in Attention-Deficit/Hyperactivity Disorder: A meta-regression analysis. Clinical Psychology Review, 45, 1-16. https://doi.org/10.1016/j.cpr.2016.03.001[details]
Huizenga, H. M., Agelink van Rentergem, J. A., Grasman, R. P. P. P., Muslimovic, D., & Schmand, B. (2016). Normative comparisons for large neuropsychological test batteries: User-friendly and sensitive solutions to minimize familywise false positives. Journal of Clinical and Experimental Neuropsychology, 38(6), 611-629. https://doi.org/10.1080/13803395.2015.1132299[details]
Tamminga, H. G. H., Reneman, L., Huizenga, H. M., & Geurts, H. M. (2016). Effects of methylphenidate on executive functioning in attention-deficit/hyperactivity disorder across the lifespan: A meta-regression analysis. Psychological Medicine, 46(9), 1791-1807. https://doi.org/10.1017/S0033291716000350[details]
de Vent, N. R., Agelink van Rentergem, J. A., Schmand, B. A., Murre, J. M. J., & Huizenga, H. M. (2016). Advanced Neuropsychological Diagnostics Infrastructure (ANDI): A Normative Database Created from Control Datasets. Frontiers in Psychology, 7, Article 1601. https://doi.org/10.3389/fpsyg.2016.01601[details]
van Duijvenvoorde, A. C. K., Figner, B., Weeda, W. D., van der Molen, M. W., Jansen, B. R. J., & Huizenga, H. M. (2016). Neural Mechanisms Underlying Compensatory and Noncompensatory Strategies in Risky Choice. Journal of Cognitive Neuroscience, 28(9), 1358-1373. https://doi.org/10.1162/jocn_a_00975[details]
Dovis, S., van der Oord, S., Huizenga, H. M., Wiers, R. W., & Prins, P. J. M. (2015). Prevalence and diagnostic validity of motivational impairments and deficits in visuospatial short-term memory and working memory in ADHD subtypes. European Child & Adolescent Psychiatry, 24(5), 575-590. https://doi.org/10.1007/s00787-014-0612-1[details]
Gazendam, F. J., Kamphuis, J. H., Eigenhuis, A., Huizenga, H. M., Soeter, M., Bos, M. G. N., Sevenster, D., & Kindt, M. (2015). Personality predicts individual variation in fear learning: a multilevel growth modeling approach. Clinical Psychological Science, 3(2), 175-188. https://doi.org/10.1177/2167702614535914[details]
Maric, M., de Haan, M., Hogendoorn, S. M., Wolters, L. H., & Huizenga, H. M. (2015). Evaluating statistical and clinical significance of intervention effects in single-case experimental designs: An SPSS method to analyze univariate data. Behavior Therapy, 46(2), 230-241. https://doi.org/10.1016/j.beth.2014.09.005[details]
van Duijvenvoorde, A. C. K., Huizenga, H. M., Somerville, L. H., Delgado, M., Powers, A., Weeda, W. D., Casey, B. J., Weber, E. U., & Figner, B. (2015). Neural correlates of expected risks and returns in risky choice across development. The Journal of Neuroscience, 35(4), 1549-1560. https://doi.org/10.1523/JNEUROSCI.1924-14.2015[details]
van Duijvenvoorde, A. C. K., Jansen, B. R. J., & Huizenga, H. M. (2015). Risky choice from childhood to adulthood: changes in decision strategies, affect, and control. In E. A. Wilhelms, & V. F. Reyna (Eds.), Neuroeconomics, judgment, and decision making (pp. 203-218). (Frontiers of cognitive psychology). Psychology Press. https://doi.org/10.4324/9781315763927[details]
2014
Bexkens, A., Ruzzano, L., Collot D'Escury-Koenigs, A. M. L., van der Molen, M. W., & Huizenga, H. M. (2014). Inhibition deficits in individuals with intellectual disability: a meta-regression analysis. Journal of Intellectual Disability Research, 58(1), 3-16. https://doi.org/10.1111/jir.12068[details]
Bexkens, A., van der Molen, M. W., Collot D'Escury-Koenigs, A. M. L., & Huizenga, H. M. (2014). Interference control in adolescents with Mild-to-Borderline Intellectual Disabilities and/or behavioral disorders. Child Neuropsychology, 20(4), 398-414. https://doi.org/10.1080/09297049.2013.799643[details]
Huizenga, H. M., van Duijvenvoorde, A. C. K., van Ravenzwaaij, D., Wetzels, R., & Jansen, B. R. J. (2014). Is the unconscious, if it exists, a superior decision maker? Behavioral and Brain Sciences, 37(1), 32-33. https://doi.org/10.1017/S0140525X13000769[details]
Jansen, B. R. J., van Duijvenvoorde, A. C. K., & Huizenga, H. M. (2014). Developmental and gender related differences in response switches after nonrepresentative negative feedback. Developmental Psychology, 50(1), 237-246. https://doi.org/10.1037/a0032493[details]
Zeguers, M. H. T., Snellings, P., Huizenga, H. M., & van der Molen, M. W. (2014). Time course analyses of orthographic and phonological priming effects during word recognition in a transparent orthography. Quarterly Journal of Experimental Psychology, 67(10), 1925-1943. https://doi.org/10.1080/17470218.2013.879192[details]
van Duijvenvoorde, A. C. K., Huizenga, H. M., & Jansen, B. R. J. (2014). What is and what could have been: experiencing regret and relief across childhood. Cognition & Emotion, 28(5), 926-935. https://doi.org/10.1080/02699931.2013.861800[details]
2013
Huizenga, H. M., van der Molen, M. W., Bexkens, A., & van den Wildenberg, W. P. M. (2013). Formal models of "resource depletion". Behavioral and Brain Sciences, 36(6), 694-695. https://doi.org/10.1017/S0140525X13001064[details]
Liber, J. M., De Boo, G. M., Huizenga, H., & Prins, P. J. M. (2013). School-based intervention for childhood disruptive behavior in disadvantaged settings: A randomized controlled trial with and without active teacher support. Journal of consulting and clinical psychology, 81(6), 975-987. https://doi.org/10.1037/a0033577[details]
van Duijvenvoorde, A. C. K., Jansen, B. R. J., Griffioen, E. S., van der Molen, M. W., & Huizenga, H. M. (2013). Decomposing developmental differences in probabilistic feedback learning: A combined performance and heart-rate analysis. Biological Psychology, 93(1), 175-183. https://doi.org/10.1016/j.biopsycho.2013.01.006[details]
2012
Huizenga, H. M., Wetzels, R., van Ravenzwaaij, D., & Wagenmakers, E.-J. (2012). Four empirical tests of Unconscious Thought Theory. Organizational Behavior and Human Decision Processes, 117(2), 332-340. https://doi.org/10.1016/j.obhdp.2011.11.010[details]
Huizenga, H. M., van der Molen, M. W., Bexkens, A., Bos, M. G. N., & van den Wildenberg, W. P. M. (2012). Muscle or motivation? A stop-signal study on the effects of sequential cognitive control. Frontiers in Psychology, 3, Article 126. https://doi.org/10.3389/fpsyg.2012.00126[details]
Jansen, B. R. J., van Duijvenvoorde, A. C. K., & Huizenga, H. M. (2012). Development of decision making: sequential versus integrative rules. Journal of Experimental Child Psychology, 111(1), 87-100. https://doi.org/10.1016/j.jecp.2011.07.006[details]
Weeda, W. D., Grasman, R. P. P. P., Waldorp, L. J., van de Laar, M. C., van der Molen, M. W., & Huizenga, H. M. (2012). A fast and reliable method for simultaneous estimation of waveform, amplitude and latency of single-trial EEG/MEG data. PLoS ONE, 7(6), e38292. https://doi.org/10.1371/journal.pone.0038292[details]
Wylie, S. A., Claassen, D. O., Huizenga, H. M., Schewel, K. D., Ridderinkhof, K. R., Bashore, T. R., & van den Wildenberg, W. P. M. (2012). Dopamine agonists and the suppression of impulsive motor actions in Parkinson disease. Journal of Cognitive Neuroscience, 24(8), 1709-1724. https://doi.org/10.1162/jocn_a_00241[details]
van Duijvenvoorde, A. C. K., Jansen, B. R. J., Bredman, J. C., & Huizenga, H. M. (2012). Age-related changes in decision making: comparing informed and noninformed situations. Developmental Psychology, 48(1), 192-203. https://doi.org/10.1037/a0025601[details]
van de Laar, M. C., van den Wildenberg, W. P. M., van Boxtel, G. J. M., Huizenga, H. M., & van der Molen, M. W. (2012). Lifespan changes in motor activation and inhibition during choice reactions: A Laplacian ERP study. Biological Psychology, 89(2), 323-334. https://doi.org/10.1016/j.biopsycho.2011.11.005[details]
2011
Huizenga, H. M., Visser, I., & Dolan, C. V. (2011). Testing overall and moderator effects meta-regression. British Journal of Mathematical & Statistical Psychology, 64(1), 1-19. https://doi.org/10.1348/000711010X522687[details]
Smeding, H. M. M., Speelman, J. D., Huizenga, H. M., Schuurman, P. R., & Schmand, B. (2011). Predictors of cognitive and psychosocial outcome after STN DBS in Parkinson's Disease. Journal of Neurology, Neurosurgery and Psychiatry, 82(7), 754-760. https://doi.org/10.1136/jnnp.2007.140012[details]
Weeda, W. D., Waldorp, L. J., Grasman, R. P. P. P., van Gaal, S., & Huizenga, H. M. (2011). Functional connectivity analysis of fMRI data using parameterized regions-of-interest. NeuroImage, 54(1), 410-416. https://doi.org/10.1016/j.neuroimage.2010.07.022[details]
Weeda, W. D., de Vos, F., Waldorp, L. J., Grasman, R. P. P. P., & Huizenga, H. M. (2011). arf3DS4: an integrated framework for localization and connectivity analysis of fMRI data. Journal of Statistical Software, 44(14). http://www.jstatsoft.org/v44/i14/[details]
Zeguers, M. H. T., Snellings, P., Tijms, J., Weeda, W. D., Tamboer, P., Bexkens, A., & Huizenga, H. M. (2011). Specifying theories of developmental dyslexia: a diffusion model analysis of word recognition. Developmental Science, 14(6), 1340-1354. https://doi.org/10.1111/j.1467-7687.2011.01091.x[details]
2010
Grasman, R. P. P. P., Huizenga, H. M., & Geurts, H. M. (2010). Departure from normality in multivariate normative comparison: the Cramér alternative for hotelling'sT2. Neuropsychologia, 48(5), 1510-1516. https://doi.org/10.1016/j.neuropsychologia.2009.11.016[details]
Schilder, C. M., Seynaeve, C., Beex, L. V., Boogerd, W., Linn, S. C., Gundy, C. M., Huizenga, H. M., Nortier, J. W., van der Velde, C. J., van Dam, F. S., & Schagen, S. B. (2010). Effects of tamoxifen and exemestane on cognitive functioning of postmenopausal patients with early breast cancer: results from the neuropsychological side study of the Tamoxifen and Exemestane adjuvant multinational trial. Journal of Clinical Oncology, 28(8), 1294-1300. https://doi.org/10.1200/JCO.2008.21.3553[details]
Schmand, B., Huizenga, H. M., & van Gool, W. A. (2010). Meta-analysis of CSF and MRI biomarkers for detecting preclinical Alzheimer's disease. Psychological Medicine, 40(1), 135-145. https://doi.org/10.1017/S0033291709991516[details]
van Duijvenvoorde, A. C. K., Jansen, B. R. J., Visser, I., & Huizenga, H. M. (2010). Affective and cognitive decision making in adolescents. Developmental Neuropsychology, 35(5), 539-554. https://doi.org/10.1080/875656412010494749[details]
van der Molen, M. J. W., Huizinga, M., Huizenga, H. M., Ridderinkhof, K. R., van der Molen, M. W., Hamel, B. J. C., Curfs, L. M. G., & Ramakers, G. J. A. (2010). Profiling Fragile X Syndrome in Males: Strengths and weaknesses in cognitive abilities. Research in Developmental Disabilities, 31(2), 426-439. https://doi.org/10.1016/j.ridd.2009.10.013[details]
2009
Huizenga, H. M., van Bers, B. M. C. W., Plat, J., van den Wildenberg, W. P. M., & van der Molen, M. W. (2009). Task complexity enhances response inhibition deficits in childhood and adolescent ADHD: A meta regression analysis. Biological Psychiatry, 65, 39-45. https://doi.org/10.1016/j.biopsych.2008.06.021[details]
Weeda, W. D., Waldorp, L. J., Christoffels, I., & Huizenga, H. M. (2009). Activated region fitting: a robust high-power method for fMRI analysis using parameterized regions of activation. Human Brain Mapping, 30(8), 2595-2605. https://doi.org/10.1002/hbm.20697[details]
2007
Huizenga, H. M., Crone, E. A., & Jansen, B. R. J. (2007). Decision-making in healthy children, adolescents and adults explained by the use of increasingly complex proportional reasoning rules. Developmental Science, 10, 814-825. https://doi.org/10.1111/j.1467-7687.2007.00621.x[details]
Waldorp, L. J., Grasman, R. P. P. P., & Huizenga, H. M. (2006). Goodness-of-fit and confidence intervals of approximate models. Journal of Mathematical Psychology, 50, 203-213. https://doi.org/10.1016/j.jmp.2006.01.002[details]
Waldorp, L. J., Huizenga, H. M., Grasman, R. P. P. P., Böcker, K. B. E., & Molenaar, P. C. M. (2006). Hypothesis testing in distributed source models for EEG and MEG data. Human Brain Mapping, 27, 114-128. https://doi.org/10.1002/hbm.20170[details]
van der Maas, H. L. J., Dolan, C. V., Grasman, R. P. P. P., Wicherts, J. M., Huizenga, H. M., & Raijmakers, M. E. J. (2006). A dynamical model of general intelligence: The positive manifold of intelligence by mutualism. Psychological Review, 113(4), 842-861. https://doi.org/10.1037/0033-295X.113.4.842[details]
2005
Bijma, F., de Munck, J. C., Huizenga, H. M., Heethaar, R. A., & Nehorai, A. (2005). Simultaneous estimation and testing of sources in multiple MEG data sets. IEEE Transactions On Signal Processing, 53(9), 3449-3460. https://doi.org/10.1109/TSP.2005.853097[details]
Grasman, R. P. P. P., Huizenga, H. M., Waldorp, L. J., Böcker, K. B. E., & Molenaar, P. C. M. (2005). Stochastic maximum likelihood mean and cross-spectrum structure modelling in neuro-magnetic source estimation. Digital Signal Processing, 15, 56-72. https://doi.org/10.1016/j.dsp.2004.09.003[details]
Waldorp, L. J., Huizenga, H. M., & Grasman, R. P. P. P. (2005). The Wald Test and Cramér-Rao Bound for misspecified models in electromagnetic source analysis. IEEE Transactions On Signal Processing, 53, 3427-3435. https://doi.org/10.1109/TSP.2005.853213[details]
Waldorp, L. J., Huizenga, H. M., Nehorai, A., Grasman, R. P. P. P., & Molenaar, P. C. M. (2005). Model selection in spatio-temporal electromagnetic source analysis. IEEE Transactions on Biomedical Engineering, 52, 414-420. https://doi.org/10.1109/TBME.2004.842982[details]
2004
Bijma, F., de Munck, J. C., Böcker, K. B. E., Huizenga, H. M., & Heethaar, R. M. (2004). The coupled dipole model: an integrated model for multiple MEG/EEG data sets. NeuroImage, 23(3), 890-904. https://doi.org/10.1016/j.neuroimage.2004.06.038[details]
Grasman, R. P. P. P., Huizenga, H. M., Waldorp, L. J., Böcker, K. B. E., & Molenaar, P. C. M. (2004). Frequency domain simultaneous source and source coherence estimation with an application to MEG. IEEE Transactions on Biomedical Engineering, 51(1), 45-55. https://doi.org/10.1109/TBME.2003.820385[details]
Bijma, F., de Munck, J. C., Huizenga, H. M., & Heethaar, R. M. (2003). A mathematical approach to the temporal stationarity of background noise in MEG/EEG measurements. NeuroImage, 20(1), 233-243. https://doi.org/10.1016/S1053-8119(03)00215-5[details]
1996
Huizenga, H. M., & Molenaar, P. C. M. (1996). Ordinary least squares dipole localization is influenced by the reference. Electroencephalography and Clinical Neurophysiology, 99, 562-567. [details]
1995
Huizenga, H. M., & Molenaar, P. C. M. (1995). Equivalent source estimation of scalp potential fields contaminated by heteroscedastic and correlated noise. Brain Topography, 8(1), 13-33. [details]
2023
Huizenga, H. M., Zadelaar, J. N., van Duijvenvoorde, A. C. K., Jansen, B. R. J., Figner, B., & Agelink van Rentergem, J. A. (2023). Differential framing effects: 11 more ways to study them: rejoinder. Decision, 10(3), 243-246. https://doi.org/10.1037/dec0000216[details]
2021
Blankenstein, N. E., van Hoorn, J., Dekkers, T. J., Popma, A., Jansen, B., Weber, E., Pollak, Y., Figner, B., Crone, E. A., Huizenga, H. M., & van Duijvenvoorde, A. C. K. (2021). Risk taking, perceived risks, and perceived benefits across adolescence: A domain-specific risk-return approach. (v1 ed.) PsyArXiv. https://doi.org/10.31234/osf.io/wv26z
Dovis, S., Agelink van Rentergem, J., & Huizenga, H. M. (2015). Does Cogmed Working Memory Training Really Improve Inattention in Daily Life? A Reanalysis. PLoS ONE, 10(3), Article e0119522. https://doi.org/10.1371/journal.pone.0119522[details]
Dovis, S., Agelink van Rentergem, J., & Huizenga, H. M. (2015). Response to the Correction by Spencer-Smith and Klingberg: Unaddressed Concerns. PLoS ONE, 10(3), Article e0119522. https://doi.org/10.1371/journal.pone.0119522[details]
Molenaar, P. C. M., Huizenga, H. M., & Nesselroade, J. R. (2003). The relationship between the structure of interindividual and intraindividual variability: A theoretical and empirical vindication of developmental systems theory. In U. M. Staudinger (Ed.), Understanding human development: Dialogues with lifespan psychology (pp. 339-360). Dordrecht, Netherlands: Kluwer Acasdemic Publishers. [details]
2002
Huizenga, H. M., Heslenfeld, D. J., & Molenaar, P. C. M. (2002). Optimal measurement conditions for spatiotemporal EEG/MEG source analysis. Psychometrika, 67(2), 299-313. https://doi.org/10.1007/BF02294848[details]
Waldorp, L. J., Huizenga, H. M., Grasman, R. P. P. P., Böcker, K. B. E., de Munck, J. C., & Molenaar, P. C. M. (2002). Model selection in electromagnetic source analysis with an application to VEFs. IEEE Transactions on Biomedical Engineering, 49(10), 1121-1129. https://doi.org/10.1109/TBME.2002.803543[details]
2001
Molenaar, P. C. M., Heslenfeld, D. J., Huizenga, H. M., & van Zuijlen, T. L. (2001). Simultaneous MEG and EEG source analysis. Physics in Medicine and Biology, 46(7), 1737-1751. https://doi.org/10.1088/0031-9155/46/7/301[details]
Waldorp, L. J., Huizenga, H. M., Dolan, C. V., & Molenaar, P. C. M. (2001). Estimated generalized least squares electromagnetic source analysis based on a parametric noise covariance model. IEEE Transactions on Biomedical Engineering, 48(6), 737-741. https://doi.org/10.1109/10.923793[details]
2013
Schmand, B. A. (Author), Murre, J. M. J. (Author), Huizenga, H. M. (Author), Agelink van Rentergem Zandvliet, J. A. (Author), & de Vent, N. R. (Author). (2013). Advanced Neuropsychological Diagnostics Infrastructure (ANDI). Web publication or website, Universiteit van Amsterdam. http://www.andi.nl/home-page/[details]
2020
Zadelaar, J., Agelink van Rentergem Zandvliet, J., Schaaf, J., Dekkers, T., de Vent, N., Dekkers, L., Jansen, B. & Huizenga, H. (2020). Decision Making Based On Internal And External Information (Codes and Supplementary Materials). Mendeley Data. https://doi.org/10.17632/27fhx4f2k3.1
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