Quantification of pain severity using EEG-based functional connectivity

Modares-Haghighi, P.; Boostani, Reza; Nami, Mohammad; Sanei, Saeid

doi:10.1016/j.bspc.2021.102840

Cited by 18 publications

(13 citation statements)

References 38 publications

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“…Significant increases of cortical activity have also been observed in both the and bands, although less specific and more widespread 30 , 31 . Previous studies also applied brain connectivity measures to the EEG channels to classify the perceived level of pain during CPT 32 . In this context, integrating well-established measures of brain activity, such as EEG power at both channel and source level, with more sophisticated techniques such as those provided by effective connectivity analysis (e.g., Granger-causality-derived measures) may highlight significant frequency-specific interactions between active regions and identify a key cortical network of the sympathetic response.…”

Section: Introductionmentioning

confidence: 99%

EEG cortical activity and connectivity correlates of early sympathetic response during cold pressor test

Rho

Callara

Bernardi

et al. 2023

Sci Rep

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Previous studies have identified several brain regions involved in the sympathetic response and its integration with pain, cognition, emotions and memory processes. However, little is known about how such regions dynamically interact during a sympathetic activation task. In this study, we analyzed EEG activity and effective connectivity during a cold pressor test (CPT). A source localization analysis identified a network of common active sources including the right precuneus (r-PCu), right and left precentral gyri (r-PCG, l-PCG), left premotor cortex (l-PMC) and left anterior cingulate cortex (l-ACC). We comprehensively analyzed the network dynamics by estimating power variation and causal interactions among the network regions through the direct directed transfer function (dDTF). A connectivity pattern dominated by interactions in $$\alpha$$ α (8–12) Hz band was observed in the resting state, with r-PCu acting as the main hub of information flow. After the CPT onset, we observed an abrupt suppression of such $$\alpha$$ α -band interactions, followed by a partial recovery towards the end of the task. On the other hand, an increase of $$\delta$$ δ -band (1–4) Hz interactions characterized the first part of CPT task. These results provide novel information on the brain dynamics induced by sympathetic stimuli. Our findings suggest that the observed suppression of $$\alpha$$ α and rise of $$\delta$$ δ dynamical interactions could reflect non-pain-specific arousal and attention-related response linked to stimulus’ salience.

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Section: Introductionmentioning

confidence: 99%

EEG cortical activity and connectivity correlates of early sympathetic response during cold pressor test

Rho

Callara

Bernardi

et al. 2023

Sci Rep

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“…Examples of EEG research on pain perception include identification of brain activity during noxious stimulation (Tayeb et al, 2020) and, more generally, perspectives of EEG as a biomarker and measurement tool for pain (Zis et al, 2022;Zhang et al, 2012). Importantly, recent works suggest that it is important to shift the attention from the classical local spectral analysis towards brain networks and functional connectivity (Ta Dinh et al, 2019;Modares-Haghighi et al, 2021).…”

Section: Electrophysiologymentioning

confidence: 99%

Measuring pain and nociception: Through the glasses of a computational scientist. Transdisciplinary overview of methods

Kutafina

Becker²,

Namer³

2023

Front. Netw. Physiol.

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In a healthy state, pain plays an important role in natural biofeedback loops and helps to detect and prevent potentially harmful stimuli and situations. However, pain can become chronic and as such a pathological condition, losing its informative and adaptive function. Efficient pain treatment remains a largely unmet clinical need. One promising route to improve the characterization of pain, and with that the potential for more effective pain therapies, is the integration of different data modalities through cutting edge computational methods. Using these methods, multiscale, complex, and network models of pain signaling can be created and utilized for the benefit of patients. Such models require collaborative work of experts from different research domains such as medicine, biology, physiology, psychology as well as mathematics and data science. Efficient work of collaborative teams requires developing of a common language and common level of understanding as a prerequisite. One of ways to meet this need is to provide easy to comprehend overviews of certain topics within the pain research domain. Here, we propose such an overview on the topic of pain assessment in humans for computational researchers. Quantifications related to pain are necessary for building computational models. However, as defined by the International Association of the Study of Pain (IASP), pain is a sensory and emotional experience and thus, it cannot be measured and quantified objectively. This results in a need for clear distinctions between nociception, pain and correlates of pain. Therefore, here we review methods to assess pain as a percept and nociception as a biological basis for this percept in humans, with the goal of creating a roadmap of modelling options.

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“…The log-transformed electric current density of the FC strength was derived for each connection between the ROI and presented descriptively. The source localization FC analysis is widely used in neuromodulation and neurophysiological studies ( Pascual-Marqui, 2007 , 2017 ; Duke Han et al, 2013 ; Yang X. et al, 2015 ; Fallon et al, 2016 ; Pascual-Marqui et al, 2018 ; Aedo-Jury et al, 2020 ; Guo et al, 2020 ; Modares-Haghighi et al, 2021 ).…”

Section: Data Processingmentioning

confidence: 99%

Source localized infraslow neurofeedback training in people with chronic painful knee osteoarthritis: A randomized, double-blind, sham-controlled feasibility clinical trial

et al. 2022

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Persistent pain is a key symptom in people living with knee osteoarthritis (KOA). Infra-slow Neurofeedback (ISF-NF) training is a recent development focusing on modulating cortical slow-wave activity to improve pain outcomes. A parallel, two-armed double-blinded, randomized sham-controlled, feasibility clinical trial aimed to determine the feasibility and safety of a novel electroencephalography-based infraslow fluctuation neurofeedback (EEG ISF-NF) training in people with KOA and determine the variability of clinical outcomes and EEG changes following NF training. Eligible participants attended nine 30-min ISF-NF training sessions involving three cortical regions linked to pain. Feasibility measures were monitored during the trial period. Pain and functional outcomes were measured at baseline, post-intervention, and follow-up after 2 weeks. Resting-state EEG was recorded at baseline and immediate post-intervention. Participants were middle-aged (61.7 ± 7.6 years), New Zealand European (90.5%), and mostly females (62%) with an average knee pain duration of 4 ± 3.4 years. The study achieved a retention rate of 91%, with 20/22 participants completing all the sessions. Participants rated high levels of acceptance and “moderate to high levels of perceived effectiveness of the training.” No serious adverse events were reported during the trial. Mean difference (95% CI) for clinical pain and function measures are as follows for pain severity [active: 0.89 ± 1.7 (−0.27 to 2.0); sham: 0.98 ± 1.1 (0.22–1.7)], pain interference [active: 0.75 ± 2.3 (−0.82 to 2.3); Sham: 0.89 ± 2.1 (−0.60 to 2.4)], pain unpleasantness [active: 2.6 ± 3.7 (0.17–5.1); sham: 2.8 ± 3 (0.62–5.0)] and physical function [active: 6.2 ± 13 (−2.6 to 15); sham: 1.6 ± 12 (−6.8 to 10)]. EEG sources demonstrated frequency-specific neuronal activity, functional connectivity, and ISF ratio changes following NF training. The findings of the study indicated that the ISF-NF training is a feasible, safe, and acceptable intervention for pain management in people with KOA, with high levels of perceived effectiveness. The study also reports the variability in clinical, brain activity, and connectivity changes following training.

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Quantification of pain severity using EEG-based functional connectivity

Cited by 18 publications

References 38 publications

EEG cortical activity and connectivity correlates of early sympathetic response during cold pressor test

EEG cortical activity and connectivity correlates of early sympathetic response during cold pressor test

Measuring pain and nociception: Through the glasses of a computational scientist. Transdisciplinary overview of methods

Source localized infraslow neurofeedback training in people with chronic painful knee osteoarthritis: A randomized, double-blind, sham-controlled feasibility clinical trial

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