The DOI matches its Crossref record; 128 of the 128 references it cites were found in a registry or an index.
Chronic Pain: Structural and Functional Changes in Brain Structures and Associated Negative Affective States
Open accessAbstract
Chronic pain is a condition in which pain progresses from an acute to chronic state and persists beyond the healing process. Chronic pain impairs function and decreases patients’ quality of life. In recent years, efforts have been made to deepen our understanding of chronic pain and to develop better treatments to alleviate chronic pain. In this review, we summarize the results of previous studies, focusing on the mechanisms underlying chronic pain development and the identification of neural areas related to chronic pain. We review the association between chronic pain and negative affective states. Further, we describe the structural and functional changes in brain structures that accompany the chronification of pain and discuss various neurotransmitter families involved. Our review aims to provide guidance for the development of future therapeutic approaches that could be used in the management of chronic pain.
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“This condition is characterized by long-lasting and continuous pain that is believed to be caused by dysregulation of corticolimbic circuitry involving regions including the PFC, ACC, amygdala and nucleus accumbens (Yang and Chang, 2019).”
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Metadata
- Authors
- Yang, S., & Chang, M. C.
- Venue
- International Journal of Molecular Sciences
- Publisher
- MDPI AG
- Published
- 2019-06-26
- Volume
- 20
- Issue
- 13
- Pages
- 3130
- ISSN
- 1422-0067 (ISSN-L)
- OpenAlex
- W2954874884
- Cited by
- 408
- References
- 128
- FWCI
- 17.57
- 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.
