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Meta-Analysis of EEG Findings on Pain Perception: Exploring Nociceptive and Neuropathic Pain Response Patterns

Lipnitskii, M.

2023-11-02 neuroscience
10.1101/2023.10.31.564952 bioRxiv
Show abstract

This article presents a meta-analysis of research articles focusing on the use of electroencephalography (EEG) in the study of nociceptive and neuropathic pain perception. The objective of the study is to compare the findings of the reviewed articles with the three-route model of pain perception, which posits that specific brain regions are responsible for interpreting different aspects of pain. The articles included in the analysis were sourced from reputable databases such as Scopus, Google Scholar, and Pubmed. The selection criteria for these articles was based on the explicit demonstration of changes in EEG rhythms in response to pain sensations. This served as an important factor in determining their inclusion for further analysis. The results of the meta-analysis provide insights into the changes observed in EEG rhythms across different brain regions. By examining the location of these characteristic changes, the study makes assumptions about potential interrelationships between the observed EEG rhythms and the activity of specific brain regions discussed in the articles. Ultimately, this meta-analysis contributes to our understanding of the relationship between pain perception and EEG activity, shedding light on the potential role of distinct brain areas in processing different aspects of pain.

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