130
Views
0
CrossRef citations to date
0
Altmetric
Case Report

The decision-making task: Development and evaluation in a paediatric traumatic brain injury population

, , , , , & ORCID Icon show all
Received 20 Jan 2022, Accepted 21 Jul 2023, Published online: 05 Aug 2023

References

  • Achenbach, T. M., & Rescorla, L. A. (2001). Manual for the ASEBA school-age forms & profiles: An integrated system of multi-informant assessment. University of Vermont, Research Center for Children, Youth & Families.
  • Alloway, T. P. (2007). Automated working memory assessment manual. Harcourt.
  • Anderson, V. (2002). Executive function in children: Introduction. Child Neuropsychology, 8(2), 69–70. https://doi.org/10.1076/chin.8.2.69.8725
  • Anderson, V. A., Anderson, P., Northam, E., Jacobs, R., & Catroppa, C. (2001). Development of executive functions through late childhood and adolescence in an Australian sample. Developmental Neuropsychology, 20(1), 385–406. https://doi.org/10.1207/S15326942DN2001_5
  • Audusseau, J., & Juhel, J. (2015). Working memory in children predicts performance on a gambling task. The Journal of Genetic Psychology, 176(1), 38–54. https://doi.org/10.1080/00221325.2014.1002749
  • Australian Bureau of Statistics and Statistics New Zealand. (2006). ANZSCO – Australian and New Zealand standard classification of occupations (1st ed.). Australian Bureau of Statistics.
  • Batty, R. A., Francis, A., Thomas, N., Hopwood, M., Ponsford, J., & Rossell, S. L. (2016). Who “jumps to conclusions”? A comprehensive assessment of probabilistic reasoning in psychosis following traumatic brain injury (PFTBI), and comparison with TBI, schizophrenia, and nonclinical controls. Cognitive Neuropsychiatry, 21(1), 32–44. https://doi.org/10.1080/13546805.2015.1127221
  • Beauchamp, M., Catroppa, C., Godfrey, C., Morse, S., Rosenfeld, J. V., & Anderson, V. (2011). Selective changes in executive functioning ten years after severe childhood traumatic brain injury. Developmental Neuropsychology, 36(5), 578–595. https://doi.org/10.1080/87565641.2011.555572
  • Bechara, A. (2007). Iowa gambling task professional manual. Psychological Assessment Resources, Inc.
  • Bechara, A., Damasio, A. R., Damasio, H., & Anderson, S. W. (1994). Insensitivity to future consequences following damage to human prefrontal cortex. Cognition, 50(1–3), 7–15. https://doi.org/10.1016/0010-0277(94)90018-3
  • Bechara, A., Damasio, H., Tranel, D., & Anderson, S. W. (1998). Dissociation Of working memory from decision making within the human prefrontal cortex. J Neurosci, 18(1), 428–437. https://doi.org/10.1523/JNEUROSCI.18-01-00428.1998. PMID: 9412519; PMCID: PMC6793407.
  • Bechara, A., Damasio, H., Tranel, D., & Damasio, A. R. (1997). Deciding advantageously before knowing the advantageous strategy. Science, 275(5304), 1293–1295. https://doi.org/10.1126/science.275.5304.1293
  • Betsch, T., Lang, A., Lehmann, A., & Axmann, J. M. (2014). Utilizing probabilities as decision weights in closed and open information boards: A comparison of children and adults. Acta Psychologica, 153, 74–86. https://doi.org/10.1016/j.actpsy.2014.09.008
  • Buelow, M. T., & Suhr, J. A. (2009). Construct validity of the Iowa gambling task. Neuropsychology Review, 19(1), 102–114. https://doi.org/10.1007/s11065-009-9083-4
  • Catroppa, C., & Anderson, V. (2005). A prospective study of the recovery of attention from acute to 2 years following pediatric traumatic brain injury. Journal of the International Neuropsychological Society, 11(1), 84–98. https://doi.org/10.1017/s1355617705050101
  • Clark, L., & Manes, F. (2004). Social and emotional decision-making following frontal lobe injury. Neurocase, 10(5), 398–403. https://doi.org/10.1080/13554790490882799
  • Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Routledge Academic.
  • Cotrena, C., Branco, L. D., Zimmermann, N., Cardoso, C. O., Grassi-Oliveira, R., & Fonseca, R. P. (2014). Impaired decision-making after traumatic brain injury: The Iowa gambling task. Brain Injury, 28(8), 1070–1075. https://doi.org/10.3109/02699052.2014.896943
  • Coutlee, C. G., & Huettel, S. A. (2012). The functional neuroanatomy of decision making: Prefrontal control of thought and action. Brain Research, 1428, 3–12. https://doi.org/10.1016/j.brainres.2011.05.053
  • Daneman, M., & Carpenter, P. A. (1980). Individual differences in working memory and reading. Journal of Verbal Learning and Verbal Behavior, 19(4), 450–466. https://doi.org/10.1016/S0022-5371(80)90312-6
  • Davidson, D. (1991a). Children’s decision-making examined with an information-board procedure. Cognitive Development, 6(1), 77–90. https://doi.org/10.1016/0885-2014(91)90007-Z
  • Davidson, D. (1991b). Developmental differences in children’s search of predecisional information. Journal of Experimental Child Psychology, 52(2), 239–255. https://doi.org/10.1016/0022-0965(91)90061-V
  • Deutz, M. H., Geeraerts, S. B., van Baar, A. L., Deković, M., & Prinzie, P. (2016). The dysregulation profile in middle childhood and adolescence across reporters: Factor structure, measurement invariance, and links with self-harm and suicidal ideation. European Child & Adolescent Psychiatry, 25(4), 431–442. https://doi.org/10.1007/s00787-015-0745-x
  • Ford, J. K., Schmitt, N., Schechtman, S. L., Hults, B. M., & Doherty, M. L. (1989). Process tracing methods: Contributions, problems, and neglected research questions. Organizational Behavior and Human Decision Processes, 43(1), 75–117. https://doi.org/10.1016/0749-5978(89)90059-9
  • Gigerenzer, G. (2001). The adaptive toolbox. In G. Gigerenzer, & R. Selten (Eds.), Bounded rationality: The adaptive toolbox (pp. 37–50). The MIT Press.
  • Gigerenzer, G. (2003). The adaptive toolbox and lifespan development: Common questions? In U. M. Staudinger, & U. Lindenberger (Eds.), Understanding human development: Dialogues with lifespan psychology (pp. 432–435). Kluwer.
  • Gioia, G. A., & Isquith, P. K. (2004). Ecological assessment of executive function in traumatic brain injury. Developmental Neuropsychology, 25(1–2), 135–158. https://doi.org/10.1080/87565641.2004.9651925
  • Gioia, G. A., Isquith, P. K., Guy, S. C., & Kenworthy, L. (2000). Behavior Rating Inventory of Executive Function. Psychological Assessment Resources.
  • Glöckner, A., & Betsch, T. (2008). Modeling option and strategy choices with connectionist networks: Towards an integrative model of automatic and deliberate decision making. Judgment and Decision Making, 3(3), 215–228. https://doi.org/10.2139/ssrn.1090866
  • Gregan-Paxton, J., & John, D. R. (1997). The emergence of adaptive decision making in children. Journal of Consumer Research, 24(1), 43–56. https://doi.org/10.1086/209492
  • Hanten, G., Scheibel, R. S., Li, X., Oomer, I., Stallings-Roberson, G., Hunter, J. V., & Levin, H. S. (2006). Decision-making after traumatic brain injury in children: A preliminary study. Neurocase, 12(4), 247–251. https://doi.org/10.1080/13554790600910490
  • Hedges, L. V. (1981). Distribution theory for glass’s estimator of effect size and related estimators. Journal of Educational Statistics, 6(2), 107–128. https://doi.org/10.3102/10769986006002107
  • Hooper, C. J., Luciana, M., Conklin, H. M., & Yarger, R. S. (2004). Adolescents’ performance on the Iowa Gambling Task: Implications for the development of decision making and ventromedial prefrontal cortex. Developmental Psychology, 40(6), 1148–1158. https://doi.org/10.1037/0012-1649.40.6.1148
  • Horn, S. S., Ruggeri, A., & Pachur, T. (2016). The development of adaptive decision making: Recognition-based inference in children and adolescents. Developmental Psychology, 52(9), 1470–1485. https://doi.org/10.1037/dev0000181
  • Howse, R. B., Best, D. L., & Stone, E. R. (2003). Children’s decision making: The effects of training, reinforcement, and memory aids. Cognitive Development, 18(2), 247–268. https://doi.org/10.1016/S0885-2014(03)00023-6
  • Huq, S. F., Garety, P. A., & Hemsley, D. R. (1988). Probabilistic judgements in deluded and non-deluded subjects. The Quarterly Journal of Experimental Psychology Section A, 40(4), 801–812. https://doi.org/10.1080/14640748808402300
  • IBM Corp. (2019). IBM SPSS Statistics for Windows, Version 26.0. Armonk, NY: IBM Corp.
  • Jasper, J. D., & Shapiro, J. (2002). MouseTrace: A better mousetrap for catching decision processes. Behavior Research Methods, Instruments, & Computers, 34(3), 364–374. https://doi.org/10.3758/BF03195464
  • Klayman, J. (1983). Analysis of predecisional information search patterns. Analysing and Aiding Decision Processes, 14, 401–414. https://doi.org/10.1016/S0166-4115(08)62246-3
  • Klayman, J. (1985). Children’s decision strategies and their adaptation to task characteristics. Organizational Behavior and Human Decision Processes, 35(2), 179–201. https://doi.org/10.1016/0749-5978(85)90034-2
  • Krawczyk, D. C. (2002). Contributions of the prefrontal cortex to the neural basis of human decision making. Neuroscience & Biobehavioral Reviews, 26(6), 631–664. https://doi.org/10.1016/S0149-7634(02)00021-0
  • Kühberger, A., Schulte-Mecklenbeck, M., & Perner, J. (2002). Framing decisions: Hypothetical and real. Organizational Behavior and Human Decision Processes, 89(2), 1162–1175. https://doi.org/10.1016/S0749-5978(02)00021-3
  • Kühberger, A., Schulte-Mecklenbeck, M., & Ranyard, R. (2011). Introduction: Windows for understanding the mind. In M. Schulte-Mecklenbeck, A. Kühberger, & R. Ranyard (Eds.), A handbook of process tracing methods for decision research: A critical review and user’s guide (pp. 1–17). Taylor & Francis Group.
  • Laerd Statistics. (2015). Principal components analysis (PCA) using SPSS statistics. Statistical tutorials and software guides. https://statistics.laerd.com/
  • Levin, H. S., & Hanten, G. (2005). Executive functions after traumatic brain injury in children. Pediatric Neurology, 33(2), 79–93. https://doi.org/10.1016/j.pediatrneurol.2005.02.002
  • Lezak, M. D. (1993). Newer contributions to the neuropsychological assessment of executive functions. Journal of Head Trauma Rehabilitation, 8(1), 24–31. https://doi.org/10.1097/00001199-199303000-00004
  • Lindow, S., & Betsch, T. (2018). Child decision-making: On the burden of predecisional information search. Journal of Cognition and Development, 19(2), 137–164. https://doi.org/10.1080/15248372.2018.1436057
  • Lindow, S., & Betsch, T. (2019). Children’s adaptive decision making and the costs of information search. Journal of Applied Developmental Psychology, 60, 24–34. https://doi.org/10.1016/j.appdev.2018.09.006
  • Mata, R., von Helversen, B., & Rieskamp, J. (2011). When easy comes hard: The development of adaptive strategy selection. Child Development, 82(2), 687–700. https://doi.org/10.1111/j.1467-8624.2010.01535.x
  • McMillan, J., Beavis, A., & Jones, F. L. (2009). The AUSEI06: A new socioeconomic index for Australia. Journal of Sociology, 45(2), 123–149. https://doi.org/10.1177/1440783309103342
  • Miyapuram, K. P., & Pammi, V. S. C. (2013). Understanding decision neuroscience: A multidisciplinary perspective and neural substrates. Decision Making – Neural and Behavioural Approaches, 202, 239–266. https://doi.org/10.1016/B978-0-444-62604-2.00014-9
  • Nunnally, J. C. (1978). Psychometric theory (2nd ed.). McGraw-Hill.
  • Payne, J. W. (1976). Task complexity and contingent processing in decision making: An information search and protocol analysis. Organizational Behavior and Human Performance, 16(2), 366–387. https://doi.org/10.1016/0030-5073(76)90022-2
  • Rangel, A., & Hare, T. (2010). Neural computations associated with goal-directed choice. Current Opinion in Neurobiology, 20(2), 262–270. https://doi.org/10.1016/j.conb.2010.03.001
  • Reimann, M., & Bechara, A. (2010). The somatic marker framework as a neurological theory of decision-making: Review, conceptual comparisons, and future neuroeconomics research. Journal of Economic Psychology, 31(5), 767–776. https://doi.org/10.1016/j.joep.2010.03.002
  • Schmidt, A. T., Hanten, G. R., Li, X., Vasquez, A. C., Wilde, E. A., Chapman, S. B., & Levin, H. S. (2012). Decision making after pediatric traumatic brain injury: Trajectory of recovery and relationship to age and gender. International Journal of Developmental Neuroscience, 30(3), 225–230. https://doi.org/10.1016/j.ijdevneu.2011.11.003
  • Smith, D. V., & Huettel, S. A. (2010). Decision neuroscience: Neuroeconomics. Wiley Interdisciplinary Reviews: Cognitive Science, 1(6), 854–871. https://doi.org/10.1002/wcs.73
  • Sonuga-Barke, E. J. S., Cortese, S., Fairchild, G., & Stringaris, A. (2016). Annual research review: Transdiagnostic neuroscience of child and adolescent mental disorders – Differentiating decision making in attention-deficit/hyperactivity disorder, conduct disorder, depression, and anxiety. Journal of Child Psychology and Psychiatry, 57(3), 321–349. https://doi.org/10.1111/jcpp.12496
  • Sood, N., Godfrey, C., Anderson, V., & Catroppa, C. (2018). Rehabilitation of executive function in paediatric traumatic brain injury (REPeaT): Protocol for a randomized controlled trial for treating working memory and decision-making. BMC Pediatrics, 18(1), 362. https://doi.org/10.1186/s12887-018-1338-x
  • Teasdale, G., & Jennett, B. (1974). Assessment of coma and impaired consciousness. The Lancet, 304(7872), 81–84. https://doi.org/10.1016/S0140-6736(74)91639-0
  • Tlustos, S. J., Chiu, C.-Y. P., Walz, N. C., Holland, S. K., Bernard, L., & Wade, S. L. (2011). Neural correlates of interference control in adolescents with traumatic brain injury: Functional magnetic resonance imaging study of the counting Stroop task. Journal of the International Neuropsychological Society, 17(01), 181–189. https://doi.org/10.1017/S1355617710001414
  • Vaidya, A. R., & Fellows, L. K. (2017). The Neuropsychology of Decision-Making: A View From the Frontal Lobes. In Jean-Claude Dreher & Léon Tremblay (Eds.), Decision Neuroscience (pp. 277–289). Academic Press. ISBN 9780128053089, https://doi.org/10.1016/B978-0-12-805308-9.00022-1
  • Verdejo-Garcia, A., Chong, T. T., Stout, J. C., Yücel, M., & London, E. D. (2018). Stages of dysfunctional decision-making in addiction. Pharmacology Biochemistry Behaviour, 164, 99–105. https://doi.org/10.1016/j.pbb.2017.02.003
  • Wechsler, D. (2011). Wechsler abbreviated scale of intelligence (2nd ed.). Pearson.
  • Wechsler, D. (2014). Wechsler intelligence scale for children-fifth edition (WISC-V). Pearson.
  • Willemsen, M. C., & Johnson, E. J. (2011). Visiting the decision factory: Observing cognition with MouselabWEB and other information acquisition methods. In M. SchulteMecklenbeck, A. Kühberger, & R. Ranyard (Eds.), A handbook of process tracing methods for decision making (pp. 21–42). Taylor & Francis.
  • Wood, R. L., & Worthington, A. (2017). Neurobehavioral abnormalities associated with executive dysfunction after traumatic brain injury. Frontiers in Behavioral Neuroscience, 11, 195. https://doi.org/10.3389/fnbeh.2017.00195

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.