The DOI matches its Crossref record; 81 of the 81 references it cites were found in a registry or an index.
Understanding Emotions: Origins and Roles of the Amygdala
Open accessAbstract
Emotions arise from activations of specialized neuronal populations in several parts of the cerebral cortex, notably the anterior cingulate, insula, ventromedial prefrontal, and subcortical structures, such as the amygdala, ventral striatum, putamen, caudate nucleus, and ventral tegmental area. Feelings are conscious, emotional experiences of these activations that contribute to neuronal networks mediating thoughts, language, and behavior, thus enhancing the ability to predict, learn, and reappraise stimuli and situations in the environment based on previous experiences. Contemporary theories of emotion converge around the key role of the amygdala as the central subcortical emotional brain structure that constantly evaluates and integrates a variety of sensory information from the surroundings and assigns them appropriate values of emotional dimensions, such as valence, intensity, and approachability. The amygdala participates in the regulation of autonomic and endocrine functions, decision-making and adaptations of instinctive and motivational behaviors to changes in the environment through implicit associative learning, changes in short- and long-term synaptic plasticity, and activation of the fight-or-flight response via efferent projections from its central nucleus to cortical and subcortical structures.
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Citations
Cites
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“As posited, especially by Friston, the brain is, therefore, an organ intended for predictive regulation, the active prediction and interpretation of input sensory information [68].”
BackgroundThe benefits of frequent positive affect: Does happiness lead to success?
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Cited by
Stress, hypothalamic–pituitary–adrenal axis, hypothalamic–pituitary–gonadal axis, and aggression.
Mbiydzenyuy, N. E., & Qulu, L.-A. (2024) · Metabolic Brain Disease · doi:10.1007/s11011-024-01393-w · Cited by 255
Human amygdala involvement in Alzheimer's disease revealed by stereological and dia‐PASEF analysis
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Brain insulin responsiveness is linked to age and peripheral insulin sensitivity
Wagner, L., Veit, R., Kübler, C., Fritsche, A., Häring, H., Birkenfeld, A. L., Heni, M., Preissl, H., & Kullmann, S. (2023) · Diabetes, Obesity and Metabolism · doi:10.1111/dom.15094 · Cited by 22
Moosecker, S., Pissioti, A., Leidmaa, E., Harb, M. R., Dioli, C., Gassen, N. C., Yu, S., Gazea, M., Catania, C., Anderzhanova, E., et al. (2021) · Neuroscience · doi:10.1016/j.neuroscience.2021.10.029 · Cited by 12
Metadata
- Authors
- Šimić, G., Tkalčić, M., Vukić, V., Mulc, D., Španić, E., Šagud, M., Olucha-Bordonau, F. E., Vukšić, M., & R. Hof, P.
- Venue
- Biomolecules
- Publisher
- MDPI AG
- Published
- 2021-05-31
- Volume
- 11
- Issue
- 6
- Pages
- 823
- ISSN
- 2218-273X (ISSN-L)
- OpenAlex
- W3165015881
- Cited by
- 503
- References
- 81
- FWCI
- 29.77
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
