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The scope of this thesis is to elaborate on the use cases of the EEG in pain research. It has been submitted as a cumulative dissertation, meaning that the main part of this thesis has been previously published in international peer-reviewed journals. The first part of this thesis begins with an introduction which describes the general methodoligcal considerations and theoretical background information that is needed to perform pain research using the EEG. Then, I will give a summary of the results of all three studies and the subsequently published manuscripts. The discussion will give an outlook on two ongoing projects and elaborate how the methodology that has been compiled throughout my time as a PhD student can be further applied to scientific problems in pain research. I will conclude with the possibilities and the limitations of the EEG in pain research. The second part of this thesis consists of three publications that cover three individual studies, of which I am the lead/first author. These publications describe different use cases for the EEG in pain research. The first publication lays out the methodological backbone of this thesis, analyzing the exact EEG parameters that are needed to achieve the results in the following projects. Then, I present two additional studies. The first study describes the usefulness of pain-related evoked signatures after standardized noxious stimulation in the EEG in patients undergoing general anesthesia. The second study outlines differences in the pain processing of elite endurance athletes versus a normally active control group. Furthermore, it outlines how the function of the endogenous pain modulatory system can be measured in the EEG using CPM. All studys are discussed individually as per the journal guidelines.
Slack (sequence like a Ca2+ -activated K + channel; also termed Slo2.2, Kcnt1, or KNa 1.1) is a Na+ -activated K + channel that is highly expressed in the peripheral and central nervous system. Previous studies have shown that Slack is enriched in the isolectin B4binding, non-peptidergic subpopulation of C-fiber sensory neurons and that Slack controls the sensory input in neuropathic pain. Recent single-cell RNA-sequencing studies suggested that Slack is highly co-expressed with transient receptor potential (TRP) ankyrin 1 (TRPA1) in sensory neurons. By using in situ hybridization and immunostaining we confirmed that Slack is highly co-localized with TRPA1 in sensory neurons, but only to a minor extent with TRP vanilloid 1. Mice lacking Slack globally or conditionally in sensory neurons (SNS-Slack─/─ ), but not mice lacking Slack conditionally in neurons of the spinal dorsal horn (Lbx1-Slack─/─ ), displayed increased pain behavior after intraplantar injection of the TRPA1 activator allyl isothiocyanate. Patch-clamp recordings with cultured primary neurons and in a HEK-293 cell line transfected with TRPA1 and Slack revealed that Slack-dependent K + currents are modulated in a TRPA1-dependent manner. Taken together, these findings highlight Slack as a modulator of TRPA1-mediated activation of sensory neurons.
Furthermore, we investigated the contribution of Slack in the spinal dorsal horn to pain processing. Lbx1-Slack ─/─ mice demonstrated normal basal pain sensitivity and Complete Freund’s Adjuvant-induced inflammatory pain. Interestingly, we observed a significantly increased spared nerve injury (SNI)-induced neuropathic pain hypersensitivity in Lbx1-Slack ─/─ mutants compared to control littermates. Moreover, we tested the effects of pharmacological Slack activation in the SNI model. Systemic and intrathecal, but not intraplantar administration of the Slack opener loxapine significantly alleviated SNI-induced hypersensitivity in control mice, but only slightly in Lbx1Slack ─/─ mice, further supporting the inhibitory function of Slack in spinal dorsal horn neurons in neuropathic pain processing.
Altogether, our data suggest that Slack in sensory neurons controls TRPA1-induced pain, whereas Slack in spinal dorsal horn neurons inhibits peripheral nerve injury induced neuropathic pain. These data provide further insights into the molecular mechanisms of pain sensation.