Tonic pain alters functional connectivity of the descending pain modulatory network involving amygdala, periaqueductal gray, parabrachial nucleus and anterior cingulate cortex

Meeker, Timothy J.; Schmid, Anne-Christine; Keaser, Michael L.; Khan, Shazia; Gullapalli, Rao P.; Dorsey, Susan G.; Greenspan, Joel D.; Seminowicz, David A.

doi:10.1016/j.neuroimage.2022.119278

Cited by 12 publications

(10 citation statements)

References 144 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, examining mPFC connectivity with other networks that are shown to be involved in pain perception (e.g. salience network Baliki et al, 2014) or modulatory pain system (Li et al, 2016; Meeker et al, 2022) would shed more light on the role of pain‐free DMN connectivity in contributing to pain intensity. Furthermore, while a pain‐related contralateral effect has been observed in the somatosensory cortex, there are mixed results for this effect in other regions involved in pain processing (Bingel et al, 2003; Youell et al, 2004).…”

Section: Discussionmentioning

confidence: 99%

Pain‐free default mode network connectivity contributes to tonic experimental pain intensity beyond the role of negative mood and other pain‐related factors

Alhajri

Boudreau

Mouraux

et al. 2023

European Journal of Pain

View full text Add to dashboard Cite

BackgroundAlterations in the default mode network (DMN) connectivity across pain stages suggest a possible DMN involvement in the transition to persistent pain.AimThis study examined whether pain‐free DMN connectivity at lower alpha oscillations (8‐10 Hz) accounts for a unique variation in experimental peak pain intensity beyond the contribution of factors known to influence pain intensity.MethodsPain‐free DMN connectivity was measured with electroencephalography prior to 1 h of capsaicin‐evoked pain using a topical capsaicin patch on the right forearm. Pain intensity was assessed on a (0–10) numerical rating scale and the association between peak pain intensity and baseline measurements was examined using hierarchical multiple regression in 52 healthy volunteers (26 women). The baseline measurements consisted of catastrophizing (helplessness, rumination, magnification), vigilance, depression, negative and positive affect, sex, age, sleep, fatigue, thermal and mechanical pain thresholds and DMN connectivity (medial prefrontal cortex [mPFC]‐posterior cingulate cortex [PCC], mPFC‐right angular gyrus [rAG], mPFC‐left Angular gyrus [lAG], rAG‐mPFC and rAG‐PCC).ResultsPain‐free DMN connectivity increased the explained variance in peak pain intensity beyond the contribution of other factors (ΔR2 = 0.10, p = 0.003), with the final model explaining 66% of the variation (R2 = 0.66, ANOVA: p < 0.001). In this model, negative affect (β = 0.51, p < 0.001), helplessness (β = 0.49, p = 0.007), pain‐free mPFC‐lAG connectivity (β = 0.36, p = 0.003) and depression (β = −0.39, p = 0.009) correlated significantly with peak pain intensity. Interestingly, negative affect and depression, albeit both being negative mood indices, showed opposing relationships with peak pain intensity.ConclusionsThis work suggests that pain‐free mPFC‐lAG connectivity (at lower alpha) may contribute to individual variations in pain‐related vulnerability.SignificanceThese findings could potentially lead the way for investigations in which DMN connectivity is used in identifying individuals more likely to develop chronic pain.

show abstract

Section: Discussionmentioning

confidence: 99%

Pain‐free default mode network connectivity contributes to tonic experimental pain intensity beyond the role of negative mood and other pain‐related factors

Alhajri

Boudreau

Mouraux

et al. 2023

European Journal of Pain

View full text Add to dashboard Cite

show abstract

“…Phasic and tonic stimulation can be used in experimental settings to assess different functions of the pain system. Specifically, tonic stimulation, for example using the Capsaicin-Heat Model (Price et al, 2018;Meeker et al, 2022) allows painful stimulation of more than 1 h duration and can be used to assess functions that are also relevant in clinical settings. Related to the length of the stimulation as well as the frequency of repeated stimuli, temporal summation can occur.…”

Section: Phasic Versus Tonic Stimulationmentioning

confidence: 99%

“…Many chemical substances are also used for sensitization, e.g., capsaicin causing heat hyperalgesia or menthol causing cold allodynia/ hyperalgesia (Samuelsson et al, 2011). Capsaicin is also often combined with heat stimulation [Capsaicin-Heat Model (Price et al, 2018;Meeker et al, 2022)] to enable longer duration of stimulation without the risk of skin injuries and/or to enable the induction of potent pain relief perception. Even for a model of visceral pain chemical stimulation could be used (Hammer and Vogelsang 2007) by applying capsaicin activating the receptor TRPV1, via an endoscope in the duodenum or jejunum.…”

Section: Chemical Stimulationmentioning

confidence: 99%

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

Kutafina

Becker²,

Namer³

2023

Front. Netw. Physiol.

View full text Add to dashboard Cite

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.

show abstract

“…Nevertheless, pain is a complex experience that encompasses sensation, affect, and cognition, which may be encoded in more extensive brain networks not limited to these regions (Reddan & Wager, 2018). Recent studies have manifested that brain areas outside the pain matrix are also involved in several pain disorders; hence, it is necessary to investigate the brain as a whole (Mayr, Jahn, Deak, et al, 2022;Meeker et al, 2022;Xu et al, 2022). In addition, several studies have con rmed the abnormal connectivities of pain may be network-speci c, which usually involves the somatosensory network (Li et al, 2022), default mode network (van Ettinger-Veenstra et al, 2019), and salience network (Xu et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Uncovering Brain Functional Connectivity Disruption Patterns of Lung Cancer-related Pain

Wei

Lai

Xiao

et al. 2023

Preprint

View full text Add to dashboard Cite

Pain is a pervasive symptom in lung cancer patients during the onset of the disease. This study aims to investigate the connectivity disruption patterns of the whole-brain functional network in lung cancer patients with cancer pain (CP+). We constructed individual whole-brain, region of interest (ROI)-level functional connectivity (FC) networks for 50 CP+ patients, 34 lung cancer patients without pain-related complaints (CP−), and 31 matched healthy controls (HC). Then, a ROI-based FC analysis was used to determine the disruptions of FC among the three groups. The relationships between aberrant FCs and clinical parameters were also characterized. The ROI-based FC analysis demonstrated that hypo-connectivity was present both in CP+ and CP− patients compared to HC, which were particularly clustered in the somatomotor and ventral attention, frontoparietal control, and default mode modules. Notably, compared to CP− patients, CP+ patients had hyper-connectivity in several brain regions mainly distributed in the somatomotor and visual modules, suggesting these abnormal FC patterns may be specific for cancer pain. Moreover, CP+ patients also showed increased intramodular and intermodular connectivity strength of the functional network. Finally, abnormal FCs within the prefrontal cortex and somatomotor cortex were positively correlated with pain intensity and pain duration, respectively. These findings suggested that lung cancer patients with cancer pain had disrupted connectivity in the intrinsic brain functional network, which may be the underlying neuroimaging mechanisms.

show abstract

Tonic pain alters functional connectivity of the descending pain modulatory network involving amygdala, periaqueductal gray, parabrachial nucleus and anterior cingulate cortex

Cited by 12 publications

References 144 publications

Pain‐free default mode network connectivity contributes to tonic experimental pain intensity beyond the role of negative mood and other pain‐related factors

Pain‐free default mode network connectivity contributes to tonic experimental pain intensity beyond the role of negative mood and other pain‐related factors

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

Uncovering Brain Functional Connectivity Disruption Patterns of Lung Cancer-related Pain

Contact Info

Product

Resources

About