The DOI matches its Crossref record; 484 of the 484 references it cites were found in a registry or an index.
The neuroscience of positive emotions and affect: Implications for cultivating happiness and wellbeing
Open accessAbstract
This review paper provides an integrative account regarding neurophysiological correlates of positive emotions and affect that cumulatively contribute to the scaffolding for happiness and wellbeing in humans and other animals. This paper reviews the associations among neurotransmitters, hormones, brain networks, and cognitive functions in the context of positive emotions and affect. Consideration of lifespan developmental perspectives are incorporated, and we also examine the impact of healthy social relationships and environmental contexts on the modulation of positive emotions and affect. The neurophysiological processes that implement positive emotions are dynamic and modifiable, and meditative practices as well as flow states that change patterns of brain function and ultimately support wellbeing are also discussed. This review is part of "The Human Affectome Project" (http://neuroqualia.org/background.php), and in order to advance a primary aim of the Human Affectome Project, we also reviewed relevant linguistic dimensions and terminology that characterizes positive emotions and wellbeing. These linguistic dimensions are discussed within the context of the neuroscience literature with the overarching goal of generating novel recommendations for advancing neuroscience research on positive emotions and wellbeing.
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Citations
Cites
Development and validation of brief measures of positive and negative affect: The PANAS scales.
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Russell, J. A. (1980) · Journal of Personality and Social Psychology · doi:10.1037/h0077714 · Cited by 16,334 · cited 1×
“…on valence, Heller (1990) theorized that affect can be deconstructed into orthogonal dimensions of valence and arousal (per an earlier circumplex model of emotion; e.g., Russell, 1980) that are represented by specific patterns of lateralized brain activity spanning frontal and parietal cortices.”
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Subjective well-being: Three decades of progress.
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An Integrative Theory of Prefrontal Cortex Function
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Flow: the psychology of optimal experience
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A default mode of brain function
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Cited by
Boemo, T., Nieto, I., Vazquez, C., & Sanchez-Lopez, A. (2022) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2022.104747 · Cited by 191
“Further, recent meta-analytic evidence shows that neurophysiological processes implicated in the experience and regulation of positive emotions are highly dynamic and modifiable and ultimately contribute to increased well-being (Alexander et al., 2021).”
BackgroundHoffman, S. N., Rassaby, M. M., Stein, M. B., & Taylor, C. T. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.01.086 · Cited by 22
Metadata
- Authors
- Alexander, R., Aragón, O. R., Bookwala, J., Cherbuin, N., Gatt, J. M., Kahrilas, I. J., Kästner, N., Lawrence, A., Lowe, L., Morrison, R. G., Mueller, S. C., Nusslock, R., Papadelis, C., Polnaszek, K. L., Helene Richter, S., Silton, R. L., & Styliadis, C.
- Venue
- Neuroscience & Biobehavioral Reviews
- Publisher
- Elsevier BV
- Published
- 2021-02
- Volume
- 121
- Pages
- 220-249
- ISSN
- 0149-7634 (ISSN-L)
- OpenAlex
- W3112680183
- Cited by
- 303
- References
- 484
- FWCI
- 25.11
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- The paper
- Alexander, R., Aragón, O. R., Bookwala, J., Cherbuin, N., Gatt, J. M., Kahrilas, I. J., Kästner, N., Lawrence, A., Lowe, L., Morrison, R. G., Mueller, S. C., Nusslock, R., Papadelis, C., Polnaszek, K. L., Helene Richter, S., Silton, R. L., & Styliadis, C. (2021). The neuroscience of positive emotions and affect: Implications for cultivating happiness and wellbeing. Neuroscience & Biobehavioral Reviews. https://doi.org/10.1016/j.neubiorev.2020.12.002
Data sources
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.