Identification of Neuropathic Pain Severity based on Linear and Non-Linear EEG Features

Zolezzi, Daniela M.; Alonso-Valerdi, Luz María; Naal-Ruiz, Norberto E.; Ibarra-Zárate, David I.

doi:10.1109/embc46164.2021.9630101

Cited by 7 publications

(7 citation statements)

References 31 publications

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“…Finally, 76 studies were included. 1,5–8,10,11,15,16,18–27,30–33,35,37–49,51,56,59,60,63,66–69,74–76,79,80,82,89–91,95–98,100–105,109,110,112–115,120,122,124–126 Figure 1 depicts the PRISMA flow diagram of study selection along with reasons for study exclusion at every stage.…”

Section: Resultsmentioning

confidence: 99%

“… 59 The other study differentiated with high accuracy between patients with low (97%), moderate (96%), and high (96%) pain. 125 Only 2 studies used EEG as predictive biomarkers examining response to treatment. One study in patients with lower back pain found no predictive value of baseline EEG regarding pain changes after cognitive/behavioral interventions.…”

Section: Resultsmentioning

confidence: 99%

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Resting-state electroencephalography and magnetoencephalography as biomarkers of chronic pain: a systematic review

Zebhauser¹,

Hohn²,

Ploner³

2022

Pain

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Reliable and objective biomarkers promise to improve the assessment and treatment of chronic pain. Resting-state electroencephalography (EEG) is broadly available, easy to use, and cost efficient and, therefore, appealing as a potential biomarker of chronic pain. However, results of EEG studies are heterogeneous. Therefore, we conducted a systematic review (PROSPERO CRD42021272622) of quantitative resting-state EEG and magnetoencephalography (MEG) studies in adult patients with different types of chronic pain. We excluded populations with severe psychiatric or neurologic comorbidity. Risk of bias was assessed using a modified Newcastle-Ottawa Scale. Semiquantitative data synthesis was conducted using modified albatross plots. We included 76 studies after searching MEDLINE, Web of Science Core Collection, Cochrane Central Register of Controlled Trials, and EMBASE. For cross-sectional studies that can serve to develop diagnostic biomarkers, we found higher theta and beta power in patients with chronic pain than in healthy participants. For longitudinal studies, which can yield monitoring and/or predictive biomarkers, we found no clear associations of pain relief with M/EEG measures. Similarly, descriptive studies that can yield diagnostic or monitoring biomarkers showed no clear correlations of pain intensity with M/EEG measures. Risk of bias was high in many studies and domains. Together, this systematic review synthesizes evidence on how resting-state M/EEG might serve as a diagnostic biomarker of chronic pain. Beyond, this review might help to guide future M/EEG studies on the development of pain biomarkers.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Resting-state electroencephalography and magnetoencephalography as biomarkers of chronic pain: a systematic review

Zebhauser¹,

Hohn²,

Ploner³

2022

Pain

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“…The experimental procedure was as follows [6 , 23] . First, the recording procedure was described to each patient.…”

Section: Methodsmentioning

confidence: 99%

Chronic neuropathic pain: EEG data in eyes open and eyes closed with painDETECT and brief pain inventory reports

et al. 2023

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“…The following types of biomarkers have the potential to be clinically applicable in chronic pain management (Tracey et al, 2019;Van Der Miesen et al, 2019) A combination of these biomarkers is also a possible outcome for future research. Meneses et al, 2016;Lancaster et al, 2017;Ferdek et al, 2019) Decreased alpha band power (2/8; diagnostic) (Vachon-Presseau et al, 2016;Telkes et al, 2020) Increased theta band power (2/5; monitoring) (Graversen et al, 2012; Alpha band activity (1/4; prognostic) (Vuckovic et al, 2018) Frontal delta power (1/3; predictive) (Yüksel et al, 2019) Decreased peak alpha frequency (2/3; diagnostic, monitoring) (Baliki et al, 2012;Uygur-Kucukseymen et al, 2020) Decreased alpha band power application of SVM classifiers has led to an improvement in accuracy with up to 93.7% Kragel et al, 2018;Buchanan et al, 2021;Lendaro et al, 2021;Zolezzi et al, 2021;Teel et al, 2022;Topaz et al, 2022). With gradual improvements in the ML algorithms over the years, there is a trend of testing their applicability in clinical practice, especially for diagnostic, monitoring, and prognostic purposes in the context of chronic pain (Mendonça-de-Souza et al, 2012;Sufianov et al, 2014).…”

Section: Diagnostic Biomarkersmentioning

confidence: 99%

Translational Applications of Neuroimaging

2024

Frontiers Research Topics

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Frontiers is more than just an open access publisher of scholarly articles: it is a pioneering approach to the world of academia, radically improving the way scholarly research is managed. The grand vision of Frontiers is a world where all people have an equal opportunity to seek, share and generate knowledge. Frontiers provides immediate and permanent online open access to all its publications, but this alone is not enough to realize our grand goals. Frontiers journal seriesThe Frontiers journal series is a multi-tier and interdisciplinary set of openaccess, online journals, promising a paradigm shift from the current review, selection and dissemination processes in academic publishing. All Frontiers journals are driven by researchers for researchers; therefore, they constitute a service to the scholarly community. At the same time, the Frontiers journal series operates on a revolutionary invention, the tiered publishing system, initially addressing specific communities of scholars, and gradually climbing up to broader public understanding, thus serving the interests of the lay society, too. Dedication to qualityEach Frontiers article is a landmark of the highest quality, thanks to genuinely collaborative interactions between authors and review editors, who include some of the world's best academicians. Research must be certified by peers before entering a stream of knowledge that may eventually reach the public -and shape society; therefore, Frontiers only applies the most rigorous and unbiased reviews. Frontiers revolutionizes research publishing by freely delivering the most outstanding research, evaluated with no bias from both the academic and social point of view. By applying the most advanced information technologies, Frontiers is catapulting scholarly publishing into a new generation. What are Frontiers Research Topics?Frontiers Research Topics are very popular trademarks of the Frontiers journals series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area.

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Identification of Neuropathic Pain Severity based on Linear and Non-Linear EEG Features

Cited by 7 publications

References 31 publications

Resting-state electroencephalography and magnetoencephalography as biomarkers of chronic pain: a systematic review

Resting-state electroencephalography and magnetoencephalography as biomarkers of chronic pain: a systematic review

Chronic neuropathic pain: EEG data in eyes open and eyes closed with painDETECT and brief pain inventory reports

Translational Applications of Neuroimaging

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