The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
The human amygdala parametrically encodes the intensity of specific facial emotions and their categorical ambiguity
Open accessAbstract
The human amygdala is a key structure for processing emotional facial expressions, but it remains unclear what aspects of emotion are processed. We investigated this question with three different approaches: behavioural analysis of 3 amygdala lesion patients, neuroimaging of 19 healthy adults, and single-neuron recordings in 9 neurosurgical patients. The lesion patients showed a shift in behavioural sensitivity to fear, and amygdala BOLD responses were modulated by both fear and emotion ambiguity (the uncertainty that a facial expression is categorized as fearful or happy). We found two populations of neurons, one whose response correlated with increasing degree of fear, or happiness, and a second whose response primarily decreased as a linear function of emotion ambiguity. Together, our results indicate that the human amygdala processes both the degree of emotion in facial expressions and the categorical ambiguity of the emotion shown and that these two aspects of amygdala processing can be most clearly distinguished at the level of single neurons.
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Yushkevich, P. A., Piven, J., Hazlett, H. C., Smith, R. G., Ho, S., Gee, J. C., & Gerig, G. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.015 · Cited by 8,868
Contributions of the Amygdala to Emotion Processing: From Animal Models to Human Behavior
Phelps, E. A., & LeDoux, J. E. (2005) · Neuron · doi:10.1016/j.neuron.2005.09.025 · Cited by 3,203 · cited 1×
“Although direct evidence of the role of amygdala subregions in threat and fear processing comes predominantly from rodent lesion research 47 and optogenetics 48 , our present finding of a lowered threshold for reporting fear for morphed faces is consistent with prior human amygdala lesion results:…”
ResultAdolphs, R., Tranel, D., Damasio, H., & Damasio, A. (1994) · Nature · doi:10.1038/372669a0 · Cited by 2,360
Self-citationThe role of the amygdala in fear and anxiety
Davis, M. (1992) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.15.030192.002033 · Cited by 2,357
Serotonin transporter genetic variation and the response of the human amygdala.
Hariri, A. R., Mattay, V. S., Tessitore, A., Kolachana, B., Fera, F., Goldman, D., Egan, M. F., & Weinberger, D. R. (2002) · Science · doi:10.1126/science.1071829 · Cited by 2,340
A differential neural response in the human amygdala to fearful and happy facial expressions
Morris, J. S., Frith, C. D., Perrett, D. I., Rowland, D., Young, A. W., Calder, A. J., & Dolan, R. J. (1996) · Nature · doi:10.1038/383812a0 · Cited by 2,013
Neural systems responding to degrees of uncertainty in human decision-making
Hsu, M., Bhatt, M., Adolphs, R., Tranel, D., & Camerer, C. F. (2005) · Science · doi:10.1126/science.1115327 · Cited by 1,411
Self-citationGenetic dissection of an amygdala microcircuit that gates conditioned fear
Haubensak, W., Kunwar, P. S., Cai, H., Ciocchi, S., Wall, N. R., Ponnusamy, R., Biag, J., Dong, H.-W., Deisseroth, K., Callaway, E. M., et al. (2010) · Nature · doi:10.1038/nature09553 · Cited by 840 · cited 1×
“…direct evidence of the role of amygdala subregions in threat and fear processing comes predominantly from rodent lesion research 47 and optogenetics 48 , our present finding of a lowered threshold for reporting fear for morphed faces is consistent with prior human amygdala lesion results: patient…”
ResultCostafreda, S. G., Brammer, M. J., David, A. S., & Fu, C. H. Y. (2008) · Brain Research Reviews · doi:10.1016/j.brainresrev.2007.10.012 · Cited by 772
Beyond threat: amygdala reactivity across multiple expressions of facial affect
Fitzgerald, D. A., Angstadt, M., Jelsone, L. M., Nathan, P. J., & Phan, K. L. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2005.11.003 · Cited by 427
Cited by
A high-resolution probabilistic in vivo atlas of human subcortical brain nuclei
Pauli, W. M., Nili, A. N., & Tyszka, J. M. (2018) · Scientific Data · doi:10.1038/sdata.2018.63 · Cited by 517
Self-citationMirror neurons 30 years later: implications and applications
Bonini, L., Rotunno, C., Arcuri, E., & Gallese, V. (2022) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2022.06.003 · Cited by 316
Srinivasan, R., & Martinez, A. M. (2021) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2018.2887267 · Cited by 94
Sun, S., Yu, H., Yu, R., & Wang, S. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02625-w · Cited by 69
“On the other hand, task-based fMRI studies have demonstrated signi fi cantly weaker amygdala-PFC cortical coupling when processing negative distractors [78].”
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Metadata
- Authors
- Wang, S., Yu, R., Tyszka, J. M., Zhen, S., Kovach, C., Sun, S., Huang, Y., Hurlemann, R., Ross, I. B., Chung, J. M., Mamelak, A. N., Adolphs, R., & Rutishauser, U.
- Venue
- Nature Communications
- Published
- 2017-04-21
- Volume
- 8
- Issue
- 1
- Pages
- 14821-14821
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2606521804
- Cited by
- 159
- References
- 15
- FWCI
- 8.30
- Type
- journal article
- Language
- en
- Open access
- gold
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- Wang, S., Yu, R., Tyszka, J. M., Zhen, S., Kovach, C., Sun, S., Huang, Y., Hurlemann, R., Ross, I. B., Chung, J. M., Mamelak, A. N., Adolphs, R., & Rutishauser, U. (2017). The human amygdala parametrically encodes the intensity of specific facial emotions and their categorical ambiguity. Nature Communications. https://doi.org/10.1038/ncomms14821
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