The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
States of Curiosity Modulate Hippocampus-Dependent Learning via the Dopaminergic Circuit
Open accessAbstract
Summary People find it easier to learn about topics that interest them, but little is known about the mechanisms by which intrinsic motivational states affect learning. We used functional magnetic resonance imaging to investigate how curiosity (intrinsic motivation to learn) influences memory. In both immediate and one-day delayed memory tests, participants showed improved memory for information that they were curious about, and also for incidental material learned during states of high curiosity. FMRI results revealed that activity in the midbrain and the nucleus accumbens was enhanced during states of high curiosity. Importantly, individual variability in curiosity-driven memory benefits for incidental material was supported by anticipatory activity in the midbrain and hippocampus and by functional connectivity between these regions. These findings suggest a link between the mechanisms supporting extrinsic reward motivation and intrinsic curiosity and highlight the importance of stimulating curiosity in order to create more effective learning experiences.
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Cites
Intrinsic and Extrinsic Motivations: Classic Definitions and New Directions
Ryan, R. M., & Deci, E. L. (2000) · Contemporary Educational Psychology · doi:10.1006/ceps.1999.1020 · Cited by 18,666
Control of goal-directed and stimulus-driven attention in the brain
Corbetta, M., & Shulman, G. L. (2002) · Nature Reviews Neuroscience · doi:10.1038/nrn755 · Cited by 12,881
AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages
Cox, R. W. (1996) · Computers and Biomedical Research · doi:10.1006/cbmr.1996.0014 · Cited by 10,913
Deci, E. L., Koestner, R., & Ryan, R. M. (1999) · Psychological Bulletin · doi:10.1037/0033-2909.125.6.627 · Cited by 7,176 · cited 2×
“For instance, behavioral studies have shown that extrinsic rewards can undermine intrinsic motivation (for a review, see Deci et al., 1999), an effect that has been linked to decreased activation in the striatum and prefrontal cortex (Murayama et al., 2010).”
The reward circuit: linking primate anatomy and human imaging
Haber, S. N., & Knutson, B. (2010) · Neuropsychopharmacology · doi:10.1038/npp.2009.129 · Cited by 3,718
Large-scale automated synthesis of human functional neuroimaging data.
Yarkoni, T., Poldrack, R. A., Nichols, T. E., Van Essen, D. C., & Wager, T. D. (2011) · Nature Methods · doi:10.1038/nmeth.1635 · Cited by 3,686 · cited 4×
“Accordingly, we used the NeuroSynth tool (Yarkoni et al., 2011) to conduct a meta-analysis based on 329 studies of reward processing in order to identify voxels within the three regions that are reliably recruited during extrinsic motivational states (see Methods and Figure S1).”
BackgroundMethodInfluentialDiscrete coding of reward probability and uncertainty by dopamine neurons
Fiorillo, C. D., Tobler, P. N., & Schultz, W. (2003) · Science · doi:10.1126/science.1077349 · Cited by 2,085
The hippocampal-VTA loop: controlling the entry of information into long-term memory
Lisman, J. E., & Grace, A. A. (2005) · Neuron · doi:10.1016/j.neuron.2005.05.002 · Cited by 1,983
Amunts, K., Kedo, O., Kindler, M., Pieperhoff, P., Mohlberg, H., Shah, N. J., Habel, U., Schneider, F., & Zilles, K. (2005) · Anatomy and Embryology · doi:10.1007/s00429-005-0025-5 · Cited by 1,264
A selective role for dopamine in stimulus-reward learning
Flagel, S. B., Clark, J. J., Robinson, T. E., Mayo, L., Czuj, A., Willuhn, I., Akers, C. A., Clinton, S. M., Phillips, P. E. M., & Akil, H. (2011) · Nature · doi:10.1038/nature09588 · Cited by 1,026
Cited by
The Psychology and Neuroscience of Curiosity
Kidd, C., & Hayden, B. Y. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.010 · Cited by 1,026
The power of play: A pediatric role in enhancing development in young children
Yogman, M., Garner, A., Hutchinson, J., Hirsh-Pasek, K., Golinkoff, R. M., COMMITTEE ON PSYCHOSOCIAL ASPECTS OF CHILD AND FAMILY HEALTH, & COUNCIL ON COMMUNICATIONS AND MEDIA (2018) · Pediatrics · doi:10.1542/peds.2018-2058 · Cited by 758
The Emerging Neuroscience of Intrinsic Motivation: A New Frontier in Self-Determination Research
Di Domenico, S. I., & Ryan, R. M. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00145 · Cited by 542
Towards a neuroscience of active sampling and curiosity
Gottlieb, J., & Oudeyer, P.-Y. (2018) · Nature Reviews Neuroscience · doi:10.1038/s41583-018-0078-0 · Cited by 494
Mindfulness and Behavior Change
Schuman-Olivier, Z., Trombka, M., Lovas, D. A., Brewer, J. A., Vago, D. R., Gawande, R., Dunne, J. P., Lazar, S. W., Loucks, E. B., & Fulwiler, C. (2020) · Harvard Review of Psychiatry · doi:10.1097/hrp.0000000000000277 · Cited by 435
Metadata
- Authors
- Gruber, M. J., Gelman, B. D., & Ranganath, C.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2014-10
- Volume
- 84
- Issue
- 2
- Pages
- 486-496
- ISSN
- 0896-6273 (ISSN-L)
- OpenAlex
- W2098036797
- Cited by
- 734
- References
- 26
- FWCI
- 33.71
- Type
- journal article
- Language
- en
- Open access
- bronze
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