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Neural correlates of developmental differences in risk estimation and feedback processing
Abstract
The primary aim of this study was to compare the neural substrates of decision-making in middle-aged children and adults. To this end, we collected fMRI data while 9-12-year-olds and 18-26-year-olds performed a simple gambling task. The task was designed to tap two important aspects of decision-making: risk estimation and feedback processing. We examined how orbitofrontal cortex (OFC), anterior cingulate cortex (ACC), and dorsolateral prefrontal cortex (DLPFC) contributed to risk estimation, and how ventrolateral and medial prefrontal cortices (VLPFC and medial PFC) contributed to negative feedback processing in children and adults. Region of interest analyses revealed differences in brain activation between children and adults for ACC and lateral OFC. ACC was recruited more for high-risk than for low-risk trials, and this difference was larger for children than for adults. In contrast, children and adults did not differ in activation for OFC or DLPFC. These data suggest that children's decision-making under uncertainty is associated with a high degree of response conflict. Both age groups exhibited bilateral VLPFC (BA 47) and medial PFC/ACC (BA 6/ BA 32 (dorsal) and 24 (ventral)) activation associated with negative feedback processing. Relative to adults, children engaged lateral OFC more strongly for negative relative to positive feedback. These results indicate that children may find negative feedback more aversive than adults do. In summary, children aged 9-12 years and adults recruit similar brain regions during risk-estimation and feedback processing, but some key differences between the groups provide insight into the factors contributing to developmental changes in decision-making.
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In the citing paper
“For example, the first version of the Cake Gambling task (Van Leijenhorst et al., 2006) has been framed as making a decision for the reward underlying the largest piece of cake, leading this task to be referred to as a “reward decision-making task”; however, we place this task in the category of “instrumental-reward tasks”, because there is an uncontroversial correct and incorrect response, the”
From A systematic review of fMRI reward paradigms used in studies of adolescents vs. adults: The impact of task design and implications for understanding neurodevelopment (2013) · cites this paper as Van Leijenhorst et al., 2006
In the citing paper
“during the selection stage, the medial PFC/anterior cingulate cortex (ACC; MNI 0, 6, 20) was activated more in children than in adults for low vs. high probability trials.”
From A systematic review of fMRI reward paradigms used in studies of adolescents vs. adults: The impact of task design and implications for understanding neurodevelopment (2013) · cites this paper as Van Leijenhorst et al., 2006
In the citing paper
“Collectively, the findings of Van Leijenhorst et al. (2006), Galvan et al. (2006), and Somerville et al. (2010) support a stronger recruitment of striatal function relative to OFC function, in adolescents relative to adults.”
From A systematic review of fMRI reward paradigms used in studies of adolescents vs. adults: The impact of task design and implications for understanding neurodevelopment (2013) · cites this paper as Van Leijenhorst et al. (2006)
In the citing paper
“during the feedback stage, the OFC (MNI 40, 46, −12) was more sensitive to negative than positive feedback in children than in adults.”
From A systematic review of fMRI reward paradigms used in studies of adolescents vs. adults: The impact of task design and implications for understanding neurodevelopment (2013) · cites this paper as Van Leijenhorst et al., 2006
In the citing paper
“the dorsolateral PFC (DLPFC) and OFC were both more activated to low probability than high probability trials, but these activations were not influenced by age”
From A systematic review of fMRI reward paradigms used in studies of adolescents vs. adults: The impact of task design and implications for understanding neurodevelopment (2013) · cites this paper as Van Leijenhorst et al., 2006
In the citing paper
“During the actual cognitive/motor stage, prefrontal cortical regions (IFG and DLPFC) were more active in youths than in adults on non-rewarded trials (Somerville and Casey, 2010; Van Leijenhorst et al., 2006).”
From A systematic review of fMRI reward paradigms used in studies of adolescents vs. adults: The impact of task design and implications for understanding neurodevelopment (2013) · cites this paper as Van Leijenhorst et al., 2006
In the citing paper
“during positive feedback stage, stronger striatal activation (Cohen et al., 2010), and during negative feedback, weaker OFC activation (Van Leijenhorst et al., 2006), emerged in adolescents compared to adults.”
From A systematic review of fMRI reward paradigms used in studies of adolescents vs. adults: The impact of task design and implications for understanding neurodevelopment (2013) · cites this paper as Van Leijenhorst et al., 2006
Citations
Cites
Co-Planar Stereotaxic Atlas of the Human Brain
Talairach, J., & Tournoux, P. (1988) · Medical Entomology and Zoology · Cited by 11,798
Insensitivity to future consequences following damage to human prefrontal cortex
Bechara, A., Damasio, A. R., Damasio, H., & Anderson, S. W. (1994) · Cognition · doi:10.1016/0010-0277(94)90018-3 · Cited by 6,128
Deciding advantageously before knowing the advantageous strategy
Bechara, A., Damasio, H., Tranel, D., & Damasio, A. R. (1997) · Science · doi:10.1126/science.275.5304.1293 · Cited by 3,547
Delay of gratification in children.
Mischel, W., Shoda, Y., & Rodriguez, M. L. (1989) · Science · doi:10.1126/science.2658056 · Cited by 3,397
Anterior Cingulate Cortex, Error Detection, and the Online Monitoring of Performance
Carter, C. S., Braver, T. S., Barch, D. M., Botvinick, M. M., Noll, D., & Cohen, J. D. (1998) · Science · doi:10.1126/science.280.5364.747 · Cited by 3,273
Separate neural systems value immediate and delayed monetary rewards
McClure, S. M., Laibson, D. I., Loewenstein, G., & Cohen, J. D. (2004) · Science · doi:10.1126/science.1100907 · Cited by 3,089
Cognitive and affective development in adolescence
Steinberg, L. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2004.12.005 · Cited by 2,978
Region of interest analysis using an SPM toolbox
Brett, M. (2002) · NeuroImage · Cited by 2,273
Anticipation of Increasing Monetary Reward Selectively Recruits Nucleus Accumbens
Knutson, B., Adams, C. M., Fong, G. W., & Hommer, D. (2001) · The Journal of Neuroscience · doi:10.1523/jneurosci.21-16-j0002.2001 · Cited by 2,244
Abstract reward and punishment representations in the human orbitofrontal cortex
O'Doherty, J., Kringelbach, M. L., Rolls, E. T., Hornak, J., & Andrews, C. (2001) · Nature Neuroscience · doi:10.1038/82959 · Cited by 2,003
Research works printed but not linked: 1
- Cocosco, 1997, Brain Web: Online interface to a 3D MRI simulated brain database, Neuroimage, 5, S425
Cited by
Sorted by citations
Verdejo‐García, A., Lawrence, A. J., & Clark, L. (2008) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2007.11.003 · Cited by 1,502
The dual systems model: Review, reappraisal, and reaffirmation
Shulman, E. P., Smith, A. R., Silva, K., Icenogle, G., Duell, N., Chein, J., & Steinberg, L. (2016) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2015.12.010 · Cited by 867
“…studies find the opposite pattern—dampened striatal response during adolescence relative to adulthood (Bjork et al., 2004, 2010; Hoogendam et al., 2013; Lamm et al., 2014)—and others fail to demonstrate any age differences (Krain et al., 2006; Teslovich et al., 2014; Van Leijenhorst et al., 2006).”
Adolescent risky decision-making: Neurocognitive development of reward and control regions
Van Leijenhorst, L., Moor, B. G., Op de Macks, Z. A., Rombouts, S. A. R. B., Westenberg, P. M., & Crone, E. A. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.02.038 · Cited by 467
Self-citationWhat Motivates the Adolescent? Brain Regions Mediating Reward Sensitivity across Adolescence
Van Leijenhorst, L., Zanolie, K., Van Meel, C. S., Westenberg, P. M., Rombouts, S. A. R. B., & Crone, E. A. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp078 · Cited by 449
Self-citationMohr, P. N. C., Biele, G., & Heekeren, H. R. (2010) · The Journal of Neuroscience · doi:10.1523/jneurosci.0003-10.2010 · Cited by 411
Dahl, R. E., & Gunnar, M. R. (2009) · Development and Psychopathology · doi:10.1017/s0954579409000017 · Cited by 409
Immaturities in reward processing and its influence on inhibitory control in adolescence.
Geier, C. F., Terwilliger, R., Teslovich, T., Velanova, K., & Luna, B. (2010) · Cerebral Cortex · doi:10.1093/cercor/bhp225 · Cited by 396
Neurodevelopmental changes in working memory and cognitive control
Bunge, S. A., & Wright, S. B. (2007) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2007.02.005 · Cited by 381
Self-citationEshel, N., Nelson, E. E., Blair, R. J., Pine, D. S., & Ernst, M. (2007) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2006.10.004 · Cited by 355
Spear, L. P. (2011) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2011.08.001 · Cited by 292
Silverman, M. H., Jedd, K., & Luciana, M. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.07.083 · Cited by 277
Functional brain imaging across development
Rubia, K. (2012) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-012-0291-8 · Cited by 259
The triadic model perspective for the study of adolescent motivated behavior
Ernst, M. (2014) · Brain and Cognition · doi:10.1016/j.bandc.2014.01.006 · Cited by 240
Ernst, M., Romeo, R. D., & Andersen, S. L. (2008) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2008.12.013 · Cited by 250
The maturation of incentive processing and cognitive control
Geier, C., & Luna, B. (2009) · Pharmacology Biochemistry and Behavior · doi:10.1016/j.pbb.2009.01.021 · Cited by 225
Hämmerer, D., Li, S., Müller, V., & Lindenberger, U. (2010) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2010.21475 · Cited by 186
Richards, J. M., Plate, R. C., & Ernst, M. (2013) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2013.03.004 · Cited by 174
Van Leijenhorst, L., Westenberg, P. M., & Crone, E. A. (2008) · Developmental Neuropsychology · doi:10.1080/87565640701884287 · Cited by 176
Self-citationSilveri, M. M., Sneider, J. T., Crowley, D. J., Covell, M. J., Acharya, D., Rosso, I. M., & Jensen, J. E. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.01.033 · Cited by 175
Ramscar, M., & Yarlett, D. G. (2007) · Cognitive Science · doi:10.1080/03640210701703576 · Cited by 174
van den Bos, W., & Hertwig, R. (2017) · Scientific Reports · doi:10.1038/srep40962 · Cited by 174
Biological, Developmental, and Neurobehavioral Factors Relevant to Adolescent Driving Risks
Dahl, R. E. (2008) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2008.06.013 · Cited by 154
Age differences in the impact of peers on adolescents’ and adults’ neural response to reward
Smith, A. R., Steinberg, L., Strang, N., & Chein, J. (2015) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2014.08.010 · Cited by 147
Reward-related processing in the human brain: developmental considerations
Fareri, D. S., Martin, L. N., & Delgado, M. R. (2008) · Development and Psychopathology · doi:10.1017/s0954579408000576 · Cited by 141
Crone, E. A., & van der Molen, M. W. (2007) · Child Development · doi:10.1111/j.1467-8624.2007.01066.x · Cited by 140
Self-citationSelf-regulation: Brain, cognition, and development.
Berger, A. (2011) · American Psychological Association eBooks · doi:10.1037/12327-000 · Cited by 150
Suzuki, S., Jensen, E. L. S., Bossaerts, P. L., & O’Doherty, J. P. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1600092113 · Cited by 135
Cilia, R., Cho, S. S., van Eimeren, T., Marotta, G., Siri, C., Ko, J. H., Pellecchia, G., Pezzoli, G., Antonini, A., & Strafella, A. P. (2011) · Movement Disorders · doi:10.1002/mds.23480 · Cited by 125
Studer, B., Manes, F. F., Humphreys, G. W., Robbins, T. W., & Clark, L. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht197 · Cited by 123
Developmental change and the nature of learning in childhood
Ramscar, M., & Gitcho, N. (2007) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2007.05.007 · Cited by 116
The role of the anterior insula in adolescent decision making
Smith, A. R., Steinberg, L., & Chein, J. (2014) · Developmental Neuroscience · doi:10.1159/000358918 · Cited by 110
Guyer, A. E., Benson, B., Choate, V. R., Bar-Haim, Y., Perez-Edgar, K., Jarcho, J. M., Pine, D. S., Ernst, M., Fox, N. A., & Nelson, E. E. (2014) · Development and Psychopathology · doi:10.1017/s0954579413000941 · Cited by 109
Adolescent brain development: Implications for the juvenile criminal justice system.
Luna, B., & Wright, C. M. (2015) · American Psychological Association eBooks · doi:10.1037/14643-005 · Cited by 115
Frontostriatal Circuits and the Development of Bulimia Nervosa
Berner, L. A., & Marsh, R. (2014) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2014.00395 · Cited by 114
Decision-Making Under Risk in Children, Adolescents, and Young Adults
Paulsen, D. J., Platt, M. L., Huettel, S. A., & Brannon, E. M. (2011) · Frontiers in Psychology · doi:10.3389/fpsyg.2011.00072 · Cited by 110
Neural mechanisms supporting flexible performance adjustment during development
Crone, E. A., Zanolie, K., Van Leijenhorst, L., Westenberg, P. M., & Rombouts, S. A. R. B. (2008) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/cabn.8.2.165 · Cited by 98
Self-citationDevelopmental effects of reward on sustained attention networks
Smith, A. B., Halari, R., Giampetro, V., Brammer, M., & Rubia, K. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.01.072 · Cited by 99
Developmental changes and individual differences in risk and perspective taking in adolescence
Crone, E. A., Bullens, L., van der Plas, E. A. A., Kijkuit, E. J., & Zelazo, P. D. (2008) · Development and Psychopathology · doi:10.1017/s0954579408000588 · Cited by 97
Self-citationUncertainty and engagement with learning games
Howard‐Jones, P. A., & Demetriou, S. (2008) · Instructional Science · doi:10.1007/s11251-008-9073-6 · Cited by 94
Feedback and reward processing in high-functioning autism
Larson, M. J., South, M., Krauskopf, E., Clawson, A., & Crowley, M. J. (2011) · Psychiatry Research · doi:10.1016/j.psychres.2010.11.006 · Cited by 90
The adolescent brain: Insights from functional neuroimaging research
Ernst, M., & Mueller, S. C. (2008) · Developmental Neurobiology · doi:10.1002/dneu.20615 · Cited by 89
How should I decide? The neural correlates of everyday moral reasoning
Sommer, M., Rothmayr, C., Döhnel, K., Meinhardt, J., Schwerdtner, J., Sodian, B., & Hajak, G. (2010) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2010.03.023 · Cited by 86
Age-related differences in neural activities during risk taking as revealed by functional MRI
Lee, T. M. C., Leung, A. W. S., Fox, P. T., Gao, J., & Chan, C. C. H. (2007) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsm033 · Cited by 76
Neural correlates of the development of cognitive control
Bunge, S. A., & Crone, E. A. (2009) · Cambridge University Press eBooks · doi:10.1017/cbo9780511757402.005 · Cited by 75
Self-citationOrganisation of executive functions: Hemispheric asymmetries
Vallesi, A. (2012) · Journal of Cognitive Psychology · doi:10.1080/20445911.2012.678992 · Cited by 77
Hämmerer, D., & Eppinger, B. (2012) · Developmental Psychology · doi:10.1037/a0027342 · Cited by 75
Harms, M. B., Zayas, V., Meltzoff, A. N., & Carlson, S. M. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00331 · Cited by 82
Neurocognitive Development of Risk Aversion from Early Childhood to Adulthood
Paulsen, D. J., Carter, R. M., Platt, M. L., Huettel, S. A., & Brannon, E. M. (2012) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2011.00178 · Cited by 65
Developmental Effects of Incentives on Response Inhibition
Geier, C. F., & Luna, B. (2012) · Child Development · doi:10.1111/j.1467-8624.2012.01771.x · Cited by 67
Lamm, C., Benson, B. E., Guyer, A. E., Pérez‐Edgar, K. E., Fox, N. A., Pine, D. S., & Monique Ernst, D. (2014) · Brain and Cognition · doi:10.1016/j.bandc.2013.12.003 · Cited by 62
Differences in feedback- and inhibition-related neural activity in adult ADHD
Dibbets, P., Evers, E. A. T., Hurks, P. P. M., Marchetta, N. D. J., & Jolles, J. (2009) · Brain and Cognition · doi:10.1016/j.bandc.2009.01.001 · Cited by 62
Neural Correlates of Decision Making on a Gambling Task
Carlson, S. M., Zayas, V., & Guthormsen, A. M. (2009) · Child Development · doi:10.1111/j.1467-8624.2009.01318.x · Cited by 64
Feedback-Driven Trial-by-Trial Learning in Autism Spectrum Disorders
Solomon, M., Frank, M. J., Ragland, J. D., Smith, A. C., Niendam, T. A., Lesh, T. A., Grayson, D. S., Beck, J. S., Matter, J. C., & Carter, C. S. (2014) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2014.14010036 · Cited by 60
Methodological approaches in developmental neuroimaging studies
Luna, B., Velanova, K., & Geier, C. F. (2010) · Human Brain Mapping · doi:10.1002/hbm.21073 · Cited by 48
Reward speeds up and increases consistency of visual selective attention: a lifespan comparison
Störmer, V. S., Eppinger, B., & Li, S. (2014) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-014-0273-z · Cited by 52
Predicting Gambling Behavior in Sixth Grade From Kindergarten Impulsivity
Pagani, L. S., Derevensky, J. L., & Japel, C. (2009) · Archives of Pediatrics and Adolescent Medicine · doi:10.1001/archpediatrics.2009.7 · Cited by 45
Claus, E. D., Ewing, S. W. F., Magnan, R. E., Montanaro, E. A., Hutchison, K. E., & Bryan, A. D. (2017) · Brain Imaging and Behavior · doi:10.1007/s11682-017-9723-x · Cited by 42
Silvers, J. A., Buhle, J. T., & Ochsner, K. N. (2014) · Cited by 42
Brain regions involved in the learning and application of reward rules in a two-deck gambling task
Hartstra, E., Oldenburg, J. F. E., Leijenhorst, L. V., Rombouts, S. A. R. B., & Crone, E. A. (2010) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2010.01.012 · Cited by 42
Self-citationWhat are the Odds? The Neural Correlates of Active Choice during Gambling
Studer, B., Apergis-Schoute, A. M., Robbins, T. W., & Clark, L. (2012) · Frontiers in Neuroscience · doi:10.3389/fnins.2012.00046 · Cited by 44
Bednarski, S. R., Erdman, E., Luo, X., Zhang, S., Hu, S., & Li, C.-S. R. (2012) · Alcoholism Clinical and Experimental Research · doi:10.1111/j.1530-0277.2011.01672.x · Cited by 42
Maturation cérébrale à l’adolescence : vulnérabilité comportementale
Ernst, M., & Korelitz, K. E. (2009) · L Encéphale · doi:10.1016/s0013-7006(09)73469-4 · Cited by 42
Kikuchi, S., Iwata, K., Onishi, Y., Kubota, F., Nisijima, K., Tamai, H., Koizumi, Y., Watanabe, E., & Kato, S. (2007) · Psychiatry Research Neuroimaging · doi:10.1016/j.pscychresns.2007.01.002 · Cited by 39
The neural basis of risky decision-making in a blackjack task
Yang, J., Li, H., Zhang, Y., Qiu, J., & Zhang, Q. (2007) · Neuroreport · doi:10.1097/wnr.0b013e3282ef7565 · Cited by 39
Schmidt, A., Hanten, G. R., Li, X., Vásquez, A. C., Wilde, E. A., Chapman, S. B., & Levin, H. S. (2011) · International Journal of Developmental Neuroscience · doi:10.1016/j.ijdevneu.2011.11.003 · Cited by 38
Bhanji, J. P., Beer, J. S., & Bunge, S. A. (2009) · NeuroImage · doi:10.1016/j.neuroimage.2009.09.030 · Cited by 42
Self-citationShad, M. U., Bidesi, A. P., Chen, L.-A., Ernst, M., & Rao, U. (2011) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2011.03.011 · Cited by 37
Cui, L., Ye, M., Sun, L., Zhang, S., & He, G. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104851 · Cited by 36
Pei, R., Lauharatanahirun, N., Cascio, C. N., O’Donnell, M. B., Shope, J. T., Simons‐Morton, B. G., Vettel, J. M., & Falk, E. B. (2020) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2020.100794 · Cited by 46
Kim, S., Lee, M.-J., Chung, Y., & Bong, M. (2010) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2010.04.002 · Cited by 39
Neurobiology of decision-making in adolescents
Shad, M. U., Bidesi, A. S., Chen, L.-A., Thomas, B. P., Ernst, M., & Rao, U. (2010) · Behavioural Brain Research · doi:10.1016/j.bbr.2010.09.033 · Cited by 33
Temporal Characteristics of EEG Microstates Mediate Trial-by-Trial Risk Taking
Pedroni, A., Gianotti, L. R. R., Koenig, T. W., Lehmann, D., Faber, P. L., & Knoch, D. (2016) · Brain Topography · doi:10.1007/s10548-016-0539-6 · Cited by 34
Kray, J., Schmitt, H., Lorenz, C., & Ferdinand, N. K. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2018.00768 · Cited by 38
Humphreys, K. L., Telzer, E. H., Flannery, J., Goff, B., Gabard-Durnam, L. J., Gee, D. G., Lee, S. S., & Tottenham, N. (2015) · Emotion · doi:10.1037/emo0000116 · Cited by 34
A fuzzy trace theory of adolescent risk taking: Beyond self-control and sensation seeking.
Chick, C. F., & Reyna, V. F. (2011) · American Psychological Association eBooks · doi:10.1037/13493-013 · Cited by 34
Qi, X., Yang, Y., Dai, S., Gao, P., Du, X., Zhang, Y., Du, G., Li, X., & Zhang, Q. (2016) · NeuroImage Clinical · doi:10.1016/j.nicl.2016.10.024 · Cited by 31
Li, R. (2017) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2017.08.007 · Cited by 29
Kids, candy, brain and behavior: Age differences in responses to candy gains and losses
Luking, K. R., Luby, J. L., & Barch, D. M. (2014) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2014.01.005 · Cited by 29
Reactive and proactive control in incarcerated and community adolescents and young adults
Iselin, A.-M. R., & DeCoster, J. (2008) · Cognitive Development · doi:10.1016/j.cogdev.2008.07.001 · Cited by 28
Kahn, L. E., Peake, S. J., Dishion, T. J., Stormshak, E. A., & Pfeifer, J. H. (2014) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00694 · Cited by 27
Asymmetric neural tracking of gain and loss magnitude during adolescence
Insel, C., & Somerville, L. H. (2018) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsy058 · Cited by 28
Hwang, S., White, S. F., Nolan, Z. T., Sinclair, S., & Blair, J. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.08.003 · Cited by 24
Developmental and Sex-Related Differences in Preschoolers' Affective Decision Making
Heilman, R. M., Miu, A. C., & Bengà, O. (2008) · Child Neuropsychology · doi:10.1080/09297040802266436 · Cited by 23
The Maturation of Cognitive Control and the Adolescent Brain
Luna, B. (2008) · Springer eBooks · doi:10.1007/978-3-540-70573-4_13 · Cited by 24
Frontal Lobe Activation Mediates the Relation Between Sensation Seeking and Cortisol Increases
Freeman, H. D., & Beer, J. S. (2010) · Journal of Personality · doi:10.1111/j.1467-6494.2010.00659.x · Cited by 21
Desarrollo cerebral y asunción de riesgos durante la adolescencia
Delgado, A. O. (2012) · APUNTES DE PSICOLOGÍA · doi:10.55414/bk8xk328 · Cited by 24
de Macks, Z. A. O., Flannery, J., Peake, S. J., Flournoy, J. C., Mobasser, A., Alberti, S. L., Fisher, P. A., & Pfeifer, J. H. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.06.058 · Cited by 21
Yang, J., & Zhang, Q. (2011) · Psychophysiology · doi:10.1111/j.1469-8986.2011.01202.x · Cited by 21
van Duijvenvoorde, A. C. K., Jansen, B. R. J., Griffioen, E. S., van der Molen, M. W., & Huizenga, H. M. (2013) · Biological Psychology · doi:10.1016/j.biopsycho.2013.01.006 · Cited by 25
Magnan, R. E. (2013) · Journal of AIDS & Clinical Research · doi:10.4172/2155-6113.1000217 · Cited by 20
The benefits of negative yet informative feedback
Kim, S., Hwang, S.-Y., & Lee, M. (2018) · PLoS ONE · doi:10.1371/journal.pone.0205183 · Cited by 19
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Metadata
- Authors
- van Leijenhorst, L., Crone, E. A., & Bunge, S. A.
- Affiliations
- Leiden University (NL)
- University of California, Davis (US)
- Venue
- Neuropsychologia
- Publisher
- Elsevier BV
- Published
- 2006-01
- Volume
- 44
- Issue
- 11
- Pages
- 2158-2170
- ISSN
- 0028-3932 (ISSN-L)
- OpenAlex
- W2077931784
- Cited by
- 146
- References
- 82
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 3 · 2023: 2 · 2022: 5 · 2021: 3 · 2020: 6 · 2019: 1 · 2018: 8 · 2017: 4 · 2016: 6 · 2015: 9 · 2014: 15 · 2013: 7 · 2012: 9
- FWCI
- 5.99
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neuropsychologia (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Science Foundation
- University of California, Davis
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Social Sciences › Decision Sciences › General Decision Sciences › Decision-Making and Behavioral Economics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurotransmitter Receptor Influence on Behavior
- Keywords
- risk estimation, feedback processing, gambling task, orbitofrontal cortex, anterior cingulate cortex, dorsolateral prefrontal cortex, ventrolateral prefrontal cortex, medial prefrontal cortex, response conflict, children and adolescents, middle-aged adults, decision making under uncertainty
- MeSH terms
- Adolescent, Adult, Aging, Child, Data Interpretation, Statistical, Feedback, Female, Gyrus Cinguli, Humans, Magnetic Resonance Imaging, Male, Nerve Net, Psychomotor Performance, Risk-Taking, Prefrontal Cortex
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