2026-06-14T03:31:49Zhttps://repisalud.isciii.es/rest/oai/request
oai:repisalud.isciii.es:20.500.12105/202522024-11-28T19:53:11Zcom_20.500.12105_15322com_20.500.12105_2051col_20.500.12105_16967
Repisalud author dos Santos Pinheiro, Eulalia Silva author de Queiros, Fernanda Costa author Montoya, Pedro author Santos, Cleber Luz author do Nascimento, Marion Alves author Ito, Clara Hikari author Silva, Manuela author Nunes Santos, David Barros author Benevides, Silvia author Vivas Miranda, Jose Garcia author Sa, Katia Nunes author Baptista, Abrahao Fontes 2024-07-09T09:13:10Z 2024-07-09T09:13:10Z 2016-02-25 Dos Santos Pinheiro ES, Costa De Queiros F, Montoya P, Santos Cleber L, Do Nascimento Marion A, Ito CH, et al. Electroencephalographic Patterns in Chronic Pain: A Systematic Review of the Literature. PLoS One. 2016 Feb 25;11(2):e0149085. 10.1371/journal.pone.0149085 1932-6203 PloS One http://hdl.handle.net/20.500.13003/10463 26914356 L611090367 2-s2.0-84978997444 http://hdl.handle.net/20.500.12105/20252 371175700012 The main objective of this study is to review and summarize recent findings on electroencephalographic patterns in individuals with chronic pain. We also discuss recent advances in the use of quantitative Electroencephalography (qEEG) for the assessment of pathophysiology and biopsychosocial factors involved in its maintenance over time. Data collection took place from February 2014 to July 2015 in PubMed, SciELO and PEDro databases. Data from cross-sectional studies and longitudinal studies, as well as clinical trials involving chronic pain participants were incorporated into the final analysis. Our primary findings related to chronic pain were an increase of theta and alpha EEG power at rest, and a decrease in the amplitude of evoked potentials after sensory stimulation and cognitive tasks. This review suggests that qEEG could be considered as a simple and objective tool for the study of brain mechanisms involved in chronic pain, as well as for identifying the specific characteristics of chronic pain condition. In addition, results show that qEEG probably is a relevant outcome measure for assessing changes in therapeutic studies. eng Electroencephalographic Patterns in Chronic Pain: A Systematic Review of the Literature research article