The DOI matches its Crossref record; 83 of the 83 references it cites were found in a registry or an index.
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.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
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
KRINGELBACH, M. (2004) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2004.03.006 · Cited by 1,977
Bechara, A., Tranel, D., & Damásio, H. (2000) · Brain · doi:10.1093/brain/123.11.2189 · Cited by 1,903
Principles of Frontal Lobe Function
Stuss, D. T. (2002) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195134971.001.0001 · Cited by 1,731
The Orbitofrontal Cortex and Reward
Rolls, E. T. (2000) · Cerebral Cortex · doi:10.1093/cercor/10.3.284 · Cited by 1,595
Structural and functional brain development and its relation to cognitive development
Casey, B. J., Giedd, J. N., & Thomas, K. M. (2000) · Biological Psychology · doi:10.1016/s0301-0511(00)00058-2 · Cited by 1,506
Functional imaging of neural responses to expectancy and experience of monetary gains and losses
Breiter, H. C., Aharon, I., Kahneman, D., Dale, A., & Shizgal, P. (2001) · Neuron · doi:10.1016/s0896-6273(01)00303-8 · Cited by 1,404
Relative reward preference in primate orbitofrontal cortex
Tremblay, L., & Schultz, W. (1999) · Nature · doi:10.1038/19525 · Cited by 1,314
Rolls, E. T. (1998) · doi:10.1093/oso/9780198524649.001.0001 · Cited by 1,314
Immature Frontal Lobe Contributions to Cognitive Control in Children
Bunge, S. A., Dudukovic, N. M., Thomason, M. E., Vaidya, C. J., & Gabrieli, J. D. E. (2002) · Neuron · doi:10.1016/s0896-6273(01)00583-9 · Cited by 1,291
Self-citationThe anterior cingulate as a conflict monitor: fMRI and ERP studies
VANVEEN, V, & CARTER, C. (2002) · Physiology & Behavior · doi:10.1016/s0031-9384(02)00930-7 · Cited by 1,258 · cited 4×
“ACC is thought to be important for detecting response conflict, monitoring performance, and/or anticipating uncertain outcomes (Critchley, Corfield, Chandler, Mathias, & Dolan, 2000; O’Doherty et al., 2001; Van Veen & Carter, 2002 ).”
BackgroundInfluentialDiamond, A. (2002) · Principles of Frontal Lobe Function · doi:10.1093/acprof:oso/9780195134971.003.0029 · Cited by 1,248
Human cingulate cortex and autonomic control: converging neuroimaging and clinical evidence
Critchley, H. D., Mathias, C. J., Josephs, O., O’Doherty, J., Zanini, S., Dewar, B., Cipolotti, L., Shallice, T., & Dolan, R. J. (2003) · Brain · doi:10.1093/brain/awg216 · Cited by 1,201
Bechara, A., Tranel, D., Damasio, H., & Damasio, A. R. (1996) · Cerebral Cortex · doi:10.1093/cercor/6.2.215 · Cited by 1,179
Rogers, R. (1999) · Neuropsychopharmacology · doi:10.1016/s0893-133x(98)00091-8 · Cited by 1,101
Dorsal anterior cingulate cortex: A role in reward-based decision making
Bush, G., Vogt, B. A., Holmes, J., Dale, A. M., Greve, D., Jenike, M. A., & Rosen, B. R. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.012470999 · Cited by 1,096
Dissociation Of Working Memory from Decision Making within the Human Prefrontal Cortex
Bechara, A., Damásio, H., Tranel, D., & Anderson, S. W. (1998) · Journal of Neuroscience · doi:10.1523/jneurosci.18-01-00428.1998 · Cited by 1,080
Prefrontal–cingulate interactions in action monitoring
Gehring, W. J., & Knight, R. T. (2000) · Nature Neuroscience · doi:10.1038/74899 · Cited by 912
The Prefrontal Cortex: Response Selection or Maintenance Within Working Memory?
Rowe, J. B., Toni, I., Josephs, O., Frackowiak, R. S. J., & Passingham, R. E. (2000) · Science · doi:10.1126/science.288.5471.1656 · Cited by 867
Decision-making processes following damage to the prefrontal cortex
Manes, F., Sahakian, B., Clark, L., Rogers, R., Antoun, N., Aitken, M., & Robbins, T. (2002) · Brain · doi:10.1093/brain/awf049 · Cited by 799
The Cognitive Neuroscience of Attention
Melara, R. D. (2004) · Sage eBooks · doi:10.4135/9781483328768.n11 · Cited by 797
Cools, R., Clark, L., Owen, A. M., & Robbins, T. W. (2002) · The Journal of Neuroscience · doi:10.1523/jneurosci.22-11-04563.2002 · Cited by 784
Critchley, H. D., Corfield, D. R., Chandler, M. P., Mathias, C. J., & Dolan, R. J. (2000) · The Journal of Physiology · doi:10.1111/j.1469-7793.2000.t01-1-00259.x · Cited by 757
Dissociable Neural Responses in Human Reward Systems
Elliott, R., Friston, K. J., & Dolan, R. J. (2000) · The Journal of Neuroscience · doi:10.1523/jneurosci.20-16-06159.2000 · Cited by 740
Klingberg, T., Forssberg, H., & Westerberg, H. (2002) · Journal of Cognitive Neuroscience · doi:10.1162/089892902317205276 · Cited by 695
Neural activity in the human brain relating to uncertainty and arousal during anticipation.
Critchley, H. D., Mathias, C. J., & Dolan, R. J. (2001) · Neuron · doi:10.1016/s0896-6273(01)00225-2 · Cited by 681
Prefrontal cortex and decision making in a mixed-strategy game
Barraclough, D. J., Conroy, M. L., & Lee, D. (2004) · Nature Neuroscience · doi:10.1038/nn1209 · Cited by 678
The Cognitive Neuroscience of Attention
(2020) · Routledge eBooks · doi:10.4324/9781003048916 · Cited by 653
Fellows, L. K. (2004) · Cerebral Cortex · doi:10.1093/cercor/bhh108 · Cited by 646
Ernst, M., Nelson, E. E., Jazbec, S., McClure, E. B., Monk, C. S., Leibenluft, E., Blair, J., & Pine, D. S. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2004.12.038 · Cited by 635
Fellows, L. K. (2003) · Brain · doi:10.1093/brain/awg180 · Cited by 631
O'Doherty, J., Critchley, H., Deichmann, R., & Dolan, R. J. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-21-07931.2003 · Cited by 611
Maia, T. V., & McClelland, J. L. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0406666101 · Cited by 568
Incentive-elicited brain activation in adolescents: Similarities and differences from young adults
Bjork, J. M., Knutson, B., Fong, G. W., Caggiano, D. M., Bennett, S. M., & Hommer, D. W. (2004) · The Journal of Neuroscience · doi:10.1523/jneurosci.4862-03.2004 · Cited by 567
Human Behavior and the Developing Brain
Torres, I. J. (1995) · American Journal of Psychiatry · doi:10.1176/ajp.152.4.637-a · Cited by 552
Development of “hot” executive function: The children’s gambling task
Kerr, A., & Zelazo, P. D. (2004) · Brain and Cognition · doi:10.1016/s0278-2626(03)00275-6 · Cited by 523
Dissociable contributions of prefrontal and parietal cortices to response selection
Bunge, S. A., Hazeltine, E., Scanlon, M. D., Rosen, A. C., & Gabrieli, J. D. E. (2002) · NeuroImage · doi:10.1006/nimg.2002.1252 · Cited by 468
Self-citationCrone, E. A., & van der Molen, M. W. (2004) · Developmental Neuropsychology · doi:10.1207/s15326942dn2503_2 · Cited by 433
Self-citationHuman behavior and the developing brain
Dawson, G., & Fischer, K. W. (1994) · Cited by 425
Rogers, R. D., Ramnani, N., Mackay, C. E., Wilson, J. L., Jezzard, P., Carter, C. S., & Smith, S. M. (2004) · Biological Psychiatry · doi:10.1016/j.biopsych.2003.11.012 · Cited by 414
Hooper, C. J., Luciana, M., Conklin, H. M., & Yarger, R. S. (2004) · Developmental Psychology · doi:10.1037/0012-1649.40.6.1148 · Cited by 412
Choice selection and reward anticipation: an fMRI study
Ernst, M., Nelson, E. E., McClure, E. B., Monk, C. S., Munson, S., Eshel, N., Zarahn, E., Leibenluft, E., Zametkin, A., Towbin, K., et al. (2004) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2004.05.011 · Cited by 377
Casey, B. J., Cohen, J. D., Jezzard, P., Turner, R., Noll, D. C., Trainor, R. J., Giedd, J. N., Kaysen, D. L., Hertz‐Pannier, L., & Rapoport, J. L. (1995) · NeuroImage · doi:10.1006/nimg.1995.1029 · Cited by 349
Nieuwenhuis, S., Slagter, H. A., von Geusau, N. J. A., Heslenfeld, D. J., & Holroyd, C. B. (2005) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2005.04152.x · Cited by 327
A Developmental Functional MRI Study of Spatial Working Memory
Thomas, K. M., King, S. W., Franzen, P. L., Welsh, T. F., Berkowitz, A. L., Noll, D. C., Birmaher, V., & Casey, B. J. (1999) · NeuroImage · doi:10.1006/nimg.1999.0466 · Cited by 317
Both random and perseverative errors underlie WCST deficits in prefrontal patients
Barceló, F., & Knight, R. T. (2002) · Neuropsychologia · doi:10.1016/s0028-3932(01)00110-5 · Cited by 295
The development of future-oriented prudence and altruism in preschoolers
Thompson, C., Barresi, J., & Moore, C. L. (1997) · Cognitive Development · doi:10.1016/s0885-2014(97)90013-7 · Cited by 276
Human Midbrain Sensitivity to Cognitive Feedback and Uncertainty During Classification Learning
Aron, A. R., Shohamy, D., Clark, J. A., Myers, C. E., Gluck, M. A., & Poldrack, R. A. (2004) · Journal of Neurophysiology · doi:10.1152/jn.01209.2003 · Cited by 276
Development of orbitofrontal function: Current themes and future directions
Happaney, K. R., Zelazo, P. D., & Stuss, D. T. (2004) · Brain and Cognition · doi:10.1016/j.bandc.2004.01.001 · Cited by 270
Cools, R., Clark, L., & Robbins, T. W. (2004) · Journal of Neuroscience · doi:10.1523/jneurosci.4312-03.2004 · Cited by 239
Paulus, M. P., Hozack, N., Zauscher, B. E., McDowell, J. E., Frank, L. R., Brown, G. G., & BRAFF, D. L. (2001) · NeuroImage · doi:10.1006/nimg.2000.0667 · Cited by 231
Schoenbaum, G. M., Chiba, A. A., & Gallagher, M. (2000) · Journal of Neuroscience · doi:10.1523/jneurosci.20-13-05179.2000 · Cited by 223
Overman, W. (2004) · Brain and Cognition · doi:10.1016/s0278-2626(03)00279-3 · Cited by 215
Predicting events of varying probability: uncertainty investigated by fMRI
Volz, K. G., Schubotz, R. I., & von Cramon, D. Y. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00122-8 · Cited by 214 · cited 1×
“In addition to OFC, several other regions, including anterior cingulate cortex and midbrain regions (in particular, the nucleus accumbens and ventral striatum), are reported as being important for uncertain decision-making (Paulus, Hozack, Frank, & Braun, 2002; Rodriguez, Aron, & Poldrach, 2005;…”
BackgroundThe role of ventral frontostriatal circuitry in reward-based learning in humans.
Galvan, A., Hare, T. A., Davidson, M., Spicer, J., Glover, G., & Casey, B. J. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.2431-05.2005 · Cited by 207
Functional connectivity with anterior cingulate and orbitofrontal cortices during decision-making
Cohen, M. X., Heller, A. S., & Ranganath, C. (2005) · Cognitive Brain Research · doi:10.1016/j.cogbrainres.2005.01.010 · Cited by 205
Development of Affective Decision Making for Self and Other
Prencipe, A., & Zelazo, P. D. (2005) · Psychological Science · doi:10.1111/j.0956-7976.2005.01564.x · Cited by 203
May, J. C., Delgado, M. R., Dahl, R. E., Stenger, V. A., Ryan, N. D., Fiez, J. A., & Carter, C. S. (2004) · Biological Psychiatry · doi:10.1016/j.biopsych.2003.11.008 · Cited by 193
Neural activity in the human brain relating to uncertainty and arousal during anticipation
Critchley, H., Mathiast, C. J., & Dolan, R. J. (2001) · NeuroImage · doi:10.1016/s1053-8119(01)91735-5 · Cited by 191
A Psychophysiological Analysis of Developmental Differences in the Ability to Resist Interference
Ridderinkhof, K. R., & van der Molen, M. W. (1995) · Child Development · doi:10.1111/j.1467-8624.1995.tb00921.x · Cited by 171
Paulus, M. P., Hozack, N., Frank, L. R., & Brown, G. G. (2002) · NeuroImage · doi:10.1006/nimg.2001.1031 · Cited by 144
Ursu, S., & Carter, C. S. (2005) · Cognitive Brain Research · doi:10.1016/j.cogbrainres.2005.01.004 · Cited by 142
The Role of the Amygdala in Signaling Prospective Outcome of Choice
Kahn, I., Yeshurun, Y., Rotshtein, P., Fried, I., Ben-Bashat, D., & Hendler, T. (2002) · Neuron · doi:10.1016/s0896-6273(02)00626-8 · Cited by 141
Ventral–striatal/nucleus–accumbens sensitivity to prediction errors during classification learning
Rodriguez, P. F., Aron, A. R., & Poldrack, R. A. (2006) · Human Brain Mapping · doi:10.1002/hbm.20186 · Cited by 122
A Psychophysiological Analysis of Developmental Differences in the Ability to Resist Interference
Ridderinkhof, K. R., & van der Molen, M. W. (1995) · Child Development · doi:10.2307/1131797 · Cited by 118
The somatic marker hypothesis: still many questions but no answers
Maia, T. V., & McClelland, J. L. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.02.006 · Cited by 90
Electrophysiological evidence of two different types of error in the Wisconsin Card Sorting Test
Barceló, F. (1999) · Neuroreport · doi:10.1097/00001756-199904260-00027 · Cited by 82
Cardiac concomitants of feedback processing
Crone, E. A., van der Veen, F. M., van der Molen, M. W., Somsen, R. J. M., van Beek, B., & Jennings, J. R. (2003) · Biological Psychology · doi:10.1016/s0301-0511(03)00106-6 · Cited by 82
Self-citationDevelopment of Error‐Monitoring Event‐Related Potentials in Adolescents
Davies, P. L., Segalowitz, S. J., & GAVIN, W. J. (2004) · Annals of the New York Academy of Sciences · doi:10.1196/annals.1308.039 · Cited by 78
Functional magnetic resonance imaging: basic principles of and application to developmental science
Casey, B. J., Davidson, M. C., & Rosen, B. R. (2002) · Developmental Science · doi:10.1111/1467-7687.00370 · Cited by 55
PRINCIPLES OF FRONTAL LOBE FUNCTION
Harrison, P. J. (2003) · Brain · doi:10.1093/brain/awg121 · Cited by 50
Kirkham, N. Z., & Diamond, A. (2003) · Developmental Science · doi:10.1111/1467-7687.00303 · Cited by 49
Cognitive psychophysiology: a window to cognitive development and brain maturation.
Molenaar, P. C. M., & van der Molen, M. W. (1994) · UvA-DARE (University of Amsterdam) · Cited by 17
Xiong (1999) · doi:10.1002/(sici)1097-0193(1999)8:2/3
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
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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review