Characterization of cortical source generators based on electroencephalography during tonic pain

Hansen, Tore; Mark, Esben Bolvig; Olesen, Søren Schou; Gram, Mikkel; Frøkjær, Jens Brøndum; Drewes, Asbjørn Mohr

doi:10.2147/jpr.s132909

Cited by 22 publications

(29 citation statements)

References 37 publications

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“…Thus, in patients older than 60 years of age, a diagnosis of SCH poses a challenge whether this change is a normal adaptive response associated with senescence or reflects an actual increase in abnormal function requires further study. Hypercholesterolemia and LDL-c levels are two important factors that contribute to the association between hypothyroidism and CHD [3, 36-38], and our results are in accordance with previous findings.…”

Section: Discussionsupporting

confidence: 93%

Circulating MiR-146a May be a Potential Biomarker of Coronary Heart Disease in Patients with Subclinical Hypothyroidism

Xiaohui

Zhang

et al. 2018

Cell Physiol Biochem

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Background/Aims: Subclinical hypothyroidism (SCH) plays a crucial role in the development and progression of coronary heart disease (CHD). However, any associated changes in the circulating microRNAs (miRNAs) levels and slightly elevated thyroid stimulating hormone (TSH) levels in CHD patients are unknown. miR-146a is a well known miRNA associated with inflammatory autoimmune diseases. Here, we evaluated miR-146a expression in patients, with the goal of re-evaluating the effect of SCH on CHD. Methods: A total of 192 study subjects who underwent coronary angiography for either suspected or confirmed CHD were enrolled in 3 groups: CHD with SCH, CHD alone, and healthy controls. The circulating levels of miR-146a were quantified using qRT-PCR. Results: Levels of miR-146a were positively correlated with CHD severity, as indicated by the Gensini score (r=0.354). The relative expression of miR-146a in the CHD+SCH, CHD and healthy control groups was 2.223±0.827, 1.588±0.726 and 0.632±0.309, respectively. Plasma TSH levels were positively correlated with miR-146a levels (r=0.321). According to multivariate logistic regression analyses, miR-146a levels were associated with the incidence of CHD in patients with SCH. For diagnosing CHD, the area under the ROC curve (AUC) of miR-146a and TSH was 0.779 and 0.752, respectively. When the TSH and miR-146a levels were combined to form a composite panel, the AUC of the panel was 0.858. Conclusion: Plasma miR-146a levels correlated with the severity of coronary atherosclerosis and increased with TSH slightly elevated in patients with CHD. Thus, miR-146a may have good predictive value for CHD among individuals with elevated TSH levels.

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Section: Discussionsupporting

confidence: 93%

Circulating MiR-146a May be a Potential Biomarker of Coronary Heart Disease in Patients with Subclinical Hypothyroidism

Xiaohui

Zhang

et al. 2018

Cell Physiol Biochem

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“…Similar results of increased prefrontal gamma activity were reported in chronic back pain patients ( May et al, 2019 ) and patients with postherpetic neuralgia and fibromyalgia ( Lim et al, 2016 ; Zhou et al, 2018 ). The association between gamma oscillations and involuntary attentional effects of pain has been well described in literature ( Hauck et al, 2007 ; Tiemann et al, 2010 ; Schulz et al, 2015 ; Hansen et al, 2017 ) and has great relevance in cortical networks for behavioral and cognitive phenomena ( Uhlhaas et al, 2009 ).…”

Section: Discussionmentioning

confidence: 95%

Hyperalgesia and Central Sensitization in Subjects With Chronic Orofacial Pain: Analysis of Pain Thresholds and EEG Biomarkers

et al. 2020

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Introduction: The presence of a temporomandibular disorder is one of the most frequent causes of orofacial pain (OFP). When pain continues beyond tissue healing time, it becomes chronic and may be caused, among other factors, by the sensitization of higher-order neurons. The aim of this study is to describe psychological characteristics of patients with chronic OFP, their peripheral pain threshold, and electroencephalography (EEG) recording, looking for possible signs of central sensitization (CS). Materials and methods: Twenty-four subjects with chronic OFP caused by temporomandibular disorder were evaluated using the Research Diagnostic Criteria for Temporomandibular Disorders Axis I and Axis II. Pain intensity, catastrophizing, and presence of CS were assessed through self-reported questionnaires. Pressure pain threshold (PPT) was recorded in facial and peripheral sites; EEG activity was recorded during open and closed eyes resting state and also during the pain threshold assessment. Pain thresholds and EEG recordings were compared with a cohort of pain-free age- and sex-matched healthy subjects. Results: Patients with chronic OFP showed a significant reduction in their pain threshold compared to healthy subjects in all sites assessed. Greater reduction in pain threshold was recorded in patients with more severe psychological symptoms. Decreased alpha and increased gamma activity was recorded in central and frontal regions of all subjects, although no significant differences were observed between groups. Discussion: A general reduction in PPT was recorded in people who suffer from chronic OFP. This result may be explained by sensitization of the central nervous system due to chronic pain conditions. Abnormal EEG activity was recorded during painful stimulation compared to the relaxed condition in both chronic OFP subjects and healthy controls.

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“…A popular approach to estimate the brain sources from scalp EEG data is by low-resolution brain electromagnetic tomography (LORETA) (Babiloni et al, 2017;Pascual-Marqui et al, 1999). This method and its standardized (sLORETA) and exact (eLORETA) variants have been used to characterize the brain activity through the estimation of intracranial current source density (CSD), and localize sources in pain studies (González-Roldán, Cifre, Sitges, & Montoya, 2016;Hansen et al, 2017;Lelic, Hansen, Mark, Olesen, & Drewes, 2017;Moont, Crispel, Lev, Pud, & Yarnitsky, 2011;Nir, Sinai, Moont, Harari, & Yarnitsky, 2012;Shao, Shen, Yu, Wilder-Smith, & Li, 2012). This family of methods have been validated with standard methods for source localization, such as functional magnetic resonance imaging (fMRI) or positron emission tomography (PET) (Cannon, Kerson, & Hampshire, 2011;Michel & Murray, 2012;Oakes et al, 2004;.…”

Section: Introductionmentioning

confidence: 99%

“…In order to constitute a robust biomarker, a measurement must be valid but also reliable, that is, its variability must be sufficiently low across experimental conditions (subjects, sessions, assessors) when experimental or clinical conditions remain unchanged (Downing, 2004). While test-retest reliability of LORETA studies was examined in different settings, for example during resting EEG (Cannon et al, 2012) and superficial painful stimulation (Hansen et al, 2017), the interpretation of the outcomes is usually carried out in oversimplified, binary terms, that is, the measurement is deemed reliable or not based on a comparison with a fixed threshold set using arbitrary criteria, which can be misleading if data and results are not critically assessed (Biurrun Manresa et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Variability and effect sizes of intracranial current source density estimations during pain: Systematic review, experimental findings, and future perspectives

Völker

Arguissain

Andersen

et al. 2021

Human Brain Mapping

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Pain arises from the integration of sensory and cognitive processes in the brain, resulting in specific patterns of neural oscillations that can be characterized by measuring electrical brain activity. Current source density (CSD) estimation from lowresolution brain electromagnetic tomography (LORETA) and its standardized (sLORETA) and exact (eLORETA) variants, is a common approach to identify the spatiotemporal dynamics of the brain sources in physiological and pathological painrelated conditions. However, there is no consensus on the magnitude and variability of clinically or experimentally relevant effects for CSD estimations. Here, we systematically examined reports of sample size calculations and effect size estimations in all studies that included the keywords pain, and LORETA, sLORETA, or eLORETA in Scopus and PubMed. We also assessed the reliability of LORETA CSD estimations during non-painful and painful conditions to estimate hypothetical sample sizes for future experiments using CSD estimations. We found that none of the studies included in the systematic review reported sample size calculations, and less than 20% reported measures of central tendency and dispersion, which are necessary to estimate effect sizes. Based on these data and our experimental results, we determined that sample sizes commonly used in pain studies using CSD estimations are suitable to detect medium and large effect sizes in crossover designs and only large effects in parallel designs. These results provide a comprehensive summary of the effect sizes observed using LORETA in pain research, and this information can be used by clinicians and researchers to improve settings and designs of future pain studies.

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Characterization of cortical source generators based on electroencephalography during tonic pain

Cited by 22 publications

References 37 publications

Circulating MiR-146a May be a Potential Biomarker of Coronary Heart Disease in Patients with Subclinical Hypothyroidism

Circulating MiR-146a May be a Potential Biomarker of Coronary Heart Disease in Patients with Subclinical Hypothyroidism

Hyperalgesia and Central Sensitization in Subjects With Chronic Orofacial Pain: Analysis of Pain Thresholds and EEG Biomarkers

Variability and effect sizes of intracranial current source density estimations during pain: Systematic review, experimental findings, and future perspectives

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