Decision-making abilities under risk and ambiguity in adults with traumatic brain injury: what do we know so far? A systematic review and meta-analysis

References

• Adlam, A. L. R., Adams, M., Turnbull, O., Yeates, G., & Gracey, F. (2017). The Bangor gambling task: Characterising the performance of survivors of traumatic brain injury. Brain Impairment, 18(1), 62–73. https://doi.org/10.1017/BrImp.2016.30
   Web of Science ®Google Scholar
• Azouvi, P., Arnould, A., Dromer, E., & Vallat-Azouvi, C. (2017). Neuropsychology of traumatic brain injury: An expert overview. Revue neurologique, 173(7–8), 461–472. https://doi.org/10.1016/j.neurol.2017.07.006
   PubMed Web of Science ®Google Scholar
• Babbage, D. R., Yim, J., Zupan, B., Neumann, D., Tomita, M. R., & Willer, B. (2011). Meta-analysis of facial affect recognition difficulties after traumatic brain injury. Neuropsychology, 25(3), 277–285. https://doi.org/10.1037/a0021908
   PubMed Web of Science ®Google Scholar
• Beauchamp, M. H., Vera-Estay, E., Morasse, F., Anderson, V., & Dooley, J. (2019). Moral reasoning and decision-making in adolescents who sustain traumatic brain injury. Brain Injury, 33(1), 32–39. https://doi.org/10.1080/02699052.2018.1531307
   PubMed Web of Science ®Google Scholar
• Bechara, A., Damasio, H., & Damasio, A. R. (2000a). Emotion, decision making and the orbitofrontal cortex. Cerebral Cortex, 10(3), 295–307. https://doi.org/10.1093/cercor/10.3.295
   PubMed Web of Science ®Google Scholar
• 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
   PubMed Web of Science ®Google Scholar
• Bechara, A., Damasio, H., Tranel, D., & Damasio, A. (2005). The Iowa gambling task and the somatic marker hypothesis: Some questions and answers. Trends in Cognitive Sciences, 9(4), 159–162. https://doi.org/10.1016/j.tics.2005.02.002
   PubMed Web of Science ®Google Scholar
• 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
   PubMed Web of Science ®Google Scholar
• Bechara, A., Tranel, D., & Damasio, H. (2000b). Characterization of the decision- making deficit of patients with ventromedial prefrontal cortex lesions. Brain, 123(11), 2189–2202. https://doi.org/10.1093/brain/123.11.2189
   PubMed Web of Science ®Google Scholar
• Bechara, A., & Van Der Linden, M. (2005). Decision-making and impulse control after frontal lobe injuries. Current Opinion in Neurology, 18(6), 734–739. https://doi.org/10.1097/01.wco.0000194141.56429.3c
   PubMed Web of Science ®Google Scholar
• Bigler, E. D. (2001). The lesion (s) in traumatic brain injury: Implications for clinical neuropsychology. Archives of Clinical Neuropsychology, 16(2), 95–131. https://doi.org/10.1093/arclin/16.2.95
   PubMed Web of Science ®Google Scholar
• Bonatti, E., Zamarian, L., Wagner, M., Benke, T., Hollosi, P., Strubreither, W., & Delazer, M. (2008). Making decisions and advising decisions in traumatic brain injury. Cognitive and Behavioral Neurology, 21(3), 164–175. https://doi.org/10.1097/WNN.0b013e318184e688
   PubMed Web of Science ®Google Scholar
• Borenstein, M., Hedges, L. V., Higgins, J. P., & Rothstein, H. R. (2011). Introduction to meta-analysis. John Wiley & Sons.
   Google Scholar
• Brand, M., Labudda, K., & Markowitsch, H. J. (2006). Neuropsychological correlates of decision-making in ambiguous and risky situations. Neural Networks, 19(8), 1266–1276. https://doi.org/10.1016/j.neunet.2006.03.001
   PubMed Web of Science ®Google Scholar
• Cai, Y., Li, S., Liu, J., Li, D., Feng, Z., Wang, Q., Chen, C., & Xue, G. (2016). The role of the frontal and parietal cortex in proactive and reactive inhibitory control: A transcranial direct current stimulation study. Journal of Cognitive Neuroscience, 28(1), 177–186. https://doi.org/10.1162/jocn_a_00888
   PubMed Web of Science ®Google Scholar
• Chen, N. Y. C., & Batchelor, J. (2019). Length of post-traumatic amnesia and its prediction of neuropsychological outcome following severe to extremely severe traumatic brain injury in a litigating sample. Brain Injury, 33(8), 1087–1096. https://doi.org/10.1080/02699052.2019.1610797
   PubMed Web of Science ®Google Scholar
• Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd) ed.). Erlbaum Associates.
   Google Scholar
• Colautti, L., Iannello, P., Silveri, M. C., & Antonietti, A. (2021). Decision making in Parkinson’s disease: An analysis of the studies using the Iowa Gambling Task. European Journal of Neuroscience, 54(10), 7513–7549. https://doi.org/10.1111/ejn.15497
   PubMed Web of Science ®Google Scholar
• Cooper, H. (2015). Research synthesis and meta-analysis: A step-by-step approach (Vol. 2). Sage publications.
   Google Scholar
• 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
   PubMed Web of Science ®Google Scholar
• Covington, N. V., & Duff, M. C. (2021). Heterogeneity is a hallmark of traumatic brain injury, not a limitation: A new perspective on study design in rehabilitation research. American Journal of speech-language Pathology, 30(2S), 974–985. https://doi.org/10.1044/2020_AJSLP-20-00081
   PubMedGoogle Scholar
• Dewan, M. C., Rattani, A., Gupta, S., Baticulon, R. E., Hung, Y. C., Punchak, M., Agrawal, A., Adeleye, A. O., Shrime, M. G., Rubiano, A. M., Rosenfeld, J. V., & Park, K. B. (2018). Estimating the global incidence of traumatic brain injury. Journal of Neurosurgery, 130(4), 1080–1097. https://doi.org/10.3171/2017.10.JNS17352
   PubMed Web of Science ®Google Scholar
• Dymowski, A. R., Owens, J. A., Ponsford, J. L., & Willmott, C. (2015). Speed of processing and strategic control of attention after traumatic brain injury. Journal of Clinical and Experimental Neuropsychology, 37(10), 1024–1035. https://doi.org/10.1080/13803395.2015.1074663
   PubMed Web of Science ®Google Scholar
• Fogleman, N. D., Naaz, F., Knight, L. K., Stoica, T., Patton, S. C., Olson-Madden, J. H., Barnhart, M. C., Hostetter, T. A., Forster, J., Brenner, L. A., Banich, M. T., & Depue, B. E. (2017). Reduced lateral prefrontal cortical volume is associated with performance on the modified Iowa Gambling Task: A surface based morphometric analysis of previously deployed veterans. Psychiatry Research: Neuroimaging, 267, 1–8. https://doi.org/10.1016/j.pscychresns.2017.06.014
   PubMed Web of Science ®Google Scholar
• Fonseca, R. P., Zimmermann, N., Cotrena, C., Cardoso, C., Kristensen, C. H., & Grassi-Oliveira, R. (2012). Neuropsychological assessment of executive functions in traumatic brain injury: Hot and cold components. Psychology & Neuroscience, 5(2), 183–190. https://doi.org/10.3922/j.psns.2012.2.08
   Google Scholar
• Franzen, M. D. (2000). Neuropsychological assessment in traumatic brain injury. Critical Care Nursing Quarterly, 23(3), 58–64. https://doi.org/10.1097/00002727-200011000-00007
   PubMedGoogle Scholar
• Fujiwara, E., Schwartz, M. L., Gao, F., Black, S. E., & Levine, B. (2008). Ventral frontal cortex functions and quantified MRI in traumatic brain injury. Neuropsychologia, 46(2), 461–474. https://doi.org/10.1016/j.neuropsychologia.2007.08.027
   PubMed Web of Science ®Google Scholar
• Gavazzi, G., Giovannelli, F., Currò, T., Mascalchi, M., & Viggiano, M. P. (2021). Contiguity of proactive and reactive inhibitory brain areas: A cognitive model based on ALE meta-analyses. Brain Imaging and Behavior, 15(4), 2199–2214. https://doi.org/10.1007/s11682-020-00369-5
   PubMed Web of Science ®Google Scholar
• Hart, T., Novack, T. A., Temkin, N., Barber, J., Dikmen, S. S., Diaz-Arrastia, R., … Zafonte, R. (2016). Duration of post-traumatic amnesia predicts neuropsychological and global outcome in complicated mild traumatic brain injury. The Journal of Head Trauma Rehabilitation, 31(6), E1. https://doi.org/10.1097/HTR.0000000000000210
   PubMed Web of Science ®Google Scholar
• Jacus, J. P., Gély-Nargeot, M. C., & Bayard, S. (2018). Ecological relevance of the Iowa gambling task in patients with Alzheimer’s disease and mild cognitive impairment. Revue Neurologique, 174(5), 327–336. https://doi.org/10.1016/j.neurol.2017.08.003
   PubMed Web of Science ®Google Scholar
• Jahanshahi, M., Obeso, I., Rothwell, J. C., & Obeso, J. A. (2015). A fronto–striato–subthalamic–pallidal network for goal-directed and habitual inhibition. Nature Reviews Neuroscience, 16(12), 719–732. https://doi.org/10.1038/nrn4038
   PubMed Web of Science ®Google Scholar
• Johnson, V. E., Stewart, W., & Smith, D. H. (2013). Axonal pathology in traumatic brain injury. Experimental Neurology, 246, 35–43. https://doi.org/10.1016/j.expneurol.2012.01.013
   PubMed Web of Science ®Google Scholar
• José, R. G., Samuel, A. S., & Isabel, M. M. (2020). Neuropsychology of executive functions in patients with focal lesion in the prefrontal cortex: A systematic review. Brain and Cognition, 146, 105633. https://doi.org/10.1016/j.bandc.2020.105633
   PubMed Web of Science ®Google Scholar
• Lauriola, M., Levin, I. P., & Hart, S. S. (2007). Common and distinct factors in decision making under ambiguity and risk: A psychometric study of individual differences. Organizational Behavior and Human Decision Processes, 104(2), 130–149. https://doi.org/10.1016/j.obhdp.2007.04.001
   Web of Science ®Google Scholar
• Lee, Y., Kim, Y. T., Seo, E., Park, O., Jeong, S. H., Kim, S. H., & Lee, S. J. (2007). Dissociation of emotional decision-making from cognitive decision-making in chronic schizophrenia. Psychiatry Research, 152(2–3), 113–120. https://doi.org/10.1016/j.psychres.2006.02.001
   PubMed Web of Science ®Google Scholar
• Levine, B., Black, S. E., Cheung, G., Campbell, A., O’Toole, C., & Schwartz, M. L. (2005). Gambling task performance in traumatic brain injury: Relationships to injury severity, atrophy, lesion location, and cognitive and psychosocial outcome. Cognitive and Behavioral Neurology, 18(1), 45–54. https://doi.org/10.1097/01.wnn.0000152227.13001.c3
   PubMed Web of Science ®Google Scholar
• Levin, H. S., Wilde, E., Troyanskaya, M., Petersen, N. J., Scheibel, R., Newsome, M., Radaideh, M., Wu, T., Yallampalli, R., Chu, Z., & Li, X. (2010). Diffusion tensor imaging of mild to moderate blast-related traumatic brain injury and its sequelae. Journal of Neurotrauma, 27(4), 683–694. https://doi.org/10.1089/neu.2009.1073
   PubMed Web of Science ®Google Scholar
• Maas, A. I., Stocchetti, N., & Bullock, R. (2008). Moderate and severe traumatic brain injury in adults. The Lancet Neurology, 7(8), 728–741. https://doi.org/10.1016/S1474-4422(08)70164-9
   PubMed Web of Science ®Google Scholar
• MacPherson, S. E., Phillips, L. H., Della Sala, S., & Cantagallo, A. (2009). Iowa Gambling Task impairment is not specific to ventromedial prefrontal lesions. The Clinical Neuropsychologist, 23(3), 510–522. https://doi.org/10.1080/13854040802396586
   PubMed Web of Science ®Google Scholar
• Madigan, N. K., DeLuca, J., Diamond, B. J., Tramontano, G., & Averill, A. (2000). Speed of information processing in traumatic brain injury: Modality-specific factors. The Journal of Head Trauma Rehabilitation, 15(3), 943–956. https://doi.org/10.1097/00001199-200006000-00007
   PubMed Web of Science ®Google Scholar
• Mather, M. (2006). A review of decision-making processes: Weighing the risks and benefits of aging. When I’m, 64(145), 145–173.
   Google Scholar
• Mathias, J. L., & Wheaton, P. (2007). Changes in attention and information-processing speed following severe traumatic brain injury: A meta-analytic review. Neuropsychology, 21(2), 212. https://doi.org/10.1037/0894-4105.21.2.212
   PubMed Web of Science ®Google Scholar
• McAllister, T. W. (2022). Neurobiological consequences of traumatic brain injury. Dialogues in Clinical Neuroscience. https://doi.org/10.31887/DCNS.2011.13.2/tmcallister
   Google Scholar
• McDonald, S. (2013). Impairments in social cognition following severe traumatic brain injury. Journal of the International Neuropsychological Society, 19(3), 231–246. https://doi.org/10.1017/S1355617712001506
   PubMed Web of Science ®Google Scholar
• McGinn, M. J., & Povlishock, J. T. (2016). Pathophysiology of traumatic brain injury. Neurosurgery Clinics of North America, 27(4), 397–407. https://doi.org/10.1016/j.nec.2016.06.002
   PubMed Web of Science ®Google Scholar
• Meyer, H. C., & Bucci, D. J. (2016). Neural and behavioral mechanisms of proactive and reactive inhibition. Learning & Memory, 23(10), 504–514. https://doi.org/10.1101/lm.040501.115
   PubMed Web of Science ®Google Scholar
• Mirabella, G. (2014). Should I stay or should I go? Conceptual underpinnings of goal-directed actions. Frontiers in Systems Neuroscience, 8, 206. https://doi.org/10.3389/fnsys.2014.00206
   PubMedGoogle Scholar
• Newcombe, V. F., Outtrim, J. G., Chatfield, D. A., Manktelow, A., Hutchinson, P. J., Coles, J. P., Williams, G. B., Sahakian, B. J., & Menon, D. K. (2011). Parcellating the neuroanatomical basis of impaired decision-making in traumatic brain injury. Brain, 134(3), 759–768. https://doi.org/10.1093/brain/awq388
   PubMedGoogle Scholar
• Ouzzani, M., Hammady, H., Fedorowicz, Z., & Elmagarmid, A. (2016). Rayyan—a web and mobile app for systematic reviews. Systematic Reviews, 5(1), 1–10. https://doi.org/10.1186/s13643-016-0384-4
   PubMedGoogle Scholar
• Ozga, J. E., Povroznik, J. M., Engler-Chiurazzi, E. B., & Haar, C. V. (2018). Executive (dys) function after traumatic brain injury: Special considerations for behavioral pharmacology. Behavioural Pharmacology, 29(7), 617–637. https://doi.org/10.1097/FBP.0000000000000430
   PubMed Web of Science ®Google Scholar
• Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., and Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. Bmj, 372. https://doi.org/10.1016/j.jclinepi.2021.02.003
   Google Scholar
• Pauwels, L., Maes, C., Hermans, L., & Swinnen, S. P. (2019). Motor inhibition efficiency in healthy aging: The role of γ-aminobutyric acid. Neural Regeneration Research, 14(5), 741. https://doi.org/10.4103/1673-5374.249216
   PubMed Web of Science ®Google Scholar
• Pavlovic, D., Pekic, S., Stojanovic, M., & Popovic, V. (2019). Traumatic brain injury: Neuropathological, neurocognitive and neurobehavioral sequelae. Pituitary, 22(3), 270–282. https://doi.org/10.1007/s11102-019-00957-9
   PubMed Web of Science ®Google Scholar
• Ponsford, J., Draper, K., & Schönberger, M. (2008). Functional outcome 10 years after traumatic brain injury: Its relationship with demographic, injury severity, and cognitive and emotional status. Journal of the International Neuropsychological Society, 14(2), 233–242. https://doi.org/10.1017/S1355617708080272
   PubMed Web of Science ®Google Scholar
• Ponsford, J. L., Spitz, G., & McKenzie, D. (2016). Using post-traumatic amnesia to predict outcome after traumatic brain injury. Journal of Neurotrauma, 33(11), 997–1004. https://doi.org/10.1089/neu.2015.4025
   PubMed Web of Science ®Google Scholar
• Ponsford, J., & Wood, R. L. (2013). Factors contributing to outcome following traumatic brain injury. NeuroRehabilitation, 32(4), 803–815. https://doi.org/10.3233/NRE-130904
   PubMed Web of Science ®Google Scholar
• Rabinowitz, A. R., & Levin, H. S. (2014). Cognitive sequelae of traumatic brain injury. Psychiatric Clinics, 37(1), 1–11. https://doi.org/10.1016/j.psc.2013.11.004
   Google Scholar
• Rosenberg, H., McDonald, S., Rosenberg, J., & Frederick Westbrook, R. (2018). Amused, flirting or simply baffled? Is recognition of all emotions affected by traumatic brain injury? Journal of Neuropsychology, 12(2), 145–164. https://doi.org/10.1111/jnp.12109
   PubMed Web of Science ®Google Scholar
• Rouault, M., Drugowitsch, J., & Koechlin, E. (2019). Prefrontal mechanisms combining rewards and beliefs in human decision-making. Nature Communications, 10(1), 1–16. https://doi.org/10.1038/s41467-018-08121-w
   PubMedGoogle Scholar
• Rowley, D. A., Rogish, M., Alexander, T., & Riggs, K. J. (2018). Counter-intuitive moral judgement following traumatic brain injury. Journal of Neuropsychology, 12(2), 200–215. https://doi.org/10.1111/jnp.12117
   PubMed Web of Science ®Google Scholar
• Rzezak, P., Antunes, H. K. M., Tufik, S., & Mello, M. T. D. (2012). Translation and cultural adaptation of the game dice task to Brazilian population. Arquivos de neuro-psiquiatria, 70(12), 929–933. https://doi.org/10.1590/S0004-282X2012001200005
   PubMed Web of Science ®Google Scholar
• Salmond, C. H., Menon, D. K., Chatfield, D. A., Pickard, J. D., & Sahakian, B. J. (2005). Deficits in decision-making in head injury survivors. Journal of Neurotrauma, 22(6), 613–622. https://doi.org/10.1089/neu.2005.22.613
   PubMed Web of Science ®Google Scholar
• Sherer, M., & Sander, A. M. (Eds.). (2014). Handbook on the neuropsychology of traumatic brain injury (Vol. 144). Springer.
   Google Scholar
• Sherer, M., Struchen, M. A., Yablon, S. A., Wang, Y., & Nick, T. G. (2008). Comparison of indices of traumatic brain injury severity: Glasgow Coma Scale, length of coma and post-traumatic amnesia. Journal of Neurology, Neurosurgery & Psychiatry, 79(6), 678–685. https://doi.org/10.1136/jnnp.2006.111187
   PubMed Web of Science ®Google Scholar
• van Noordt, S., & Good, D. (2011). Mild head injury and sympathetic arousal: Investigating relationships with decision-making and neuropsychological performance in university students. Brain Injury, 25(7–8), 707–716. https://doi.org/10.3109/02699052.2011.580312
   PubMed Web of Science ®Google Scholar
• Vascello, M. G., Marchetti, M., Scaltritti, M., Altoè, G., Spada, M. S., Molinero, G., & Manfrinati, A. (2018). Are moral and socio-conventional knowledge impaired in severe traumatic brain injury? Archives of Clinical Neuropsychology, 33(5), 583–595. https://doi.org/10.1093/arclin/acx099
   PubMed Web of Science ®Google Scholar
• Verdejo-Garcia, A., Bechara, A., Recknor, E., & Perez-Garcia, M. (2006). Decision-making and the Iowa Gambling Task: Ecological validity in individuals with substance dependence. Psychologica Belgica, 46(1–2), 55. https://doi.org/10.5334/pb-46-1–2-55
   Web of Science ®Google Scholar
• Visser-Keizer, A. C., Westerhof-Evers, H. J., Gerritsen, M. J., van der Naalt, J., & Spikman, J. M. (2016). To fear is to gain? The role of fear recognition in risky decision making in TBI patients and healthy controls. PLoS One, 11(11), e0166995. https://doi.org/10.1371/journal.pone.0166995
   PubMed Web of Science ®Google Scholar
• Williams, H., Caplan, B., Bogner, J., Brenner, L., Perrin, P. B., Niemeier, J. P., … Whitney, M. P. (2015). Measures of injury severity and prediction of acute traumatic brain injury outcomes. Journal of Head Trauma Rehabilitation, 30(2), 136–142. https://doi.org/10.1097/HTR.0000000000000026
   PubMed Web of Science ®Google Scholar
• Wood, R. L., & McHugh, L. (2013). Decision making after traumatic brain injury: A temporal discounting paradigm. Journal of the International Neuropsychological Society, 19(2), 181–188. https://doi.org/10.1017/S135561771200118X
   PubMed Web of Science ®Google Scholar
• 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
   PubMed Web of Science ®Google Scholar
• Yeates, K. O., Levin, H. S., & Ponsford, J. (2017). The neuropsychology of traumatic brain injury: Looking back, peering ahead. Journal of the International Neuropsychological Society, 23(9–10), 806–817. https://doi.org/10.1017/S1355617717000686
   PubMed Web of Science ®Google Scholar