Biology subjects

Atlas, L. Y.

Publications and source records attributed to Atlas, L. Y..

8 recordsLinked to original sources

bioRxiv2026

The Endocannabinoid System's Contribution to Placebo Analgesia

Placebo analgesia--pain reduction from inert treatments--varies widely across individuals, yet its neurochemical basis remains poorly understood. While endogenous opioids, specifically {beta}-endorphin, contribute to placebo effects, mu-opioid receptor blockade does not fully abolish analgesia, implicating additional systems. Here, we investigate the endogenous cannabinoid (eCB) systems contribution to placebo analgesia in 48 healthy adults using a validated placebo paradigm with blood sampling. We quantified circulating levels of eCB ligands and {beta}-endorphin at baseline, as well as before and after placebo and control conditions to determine condition-related changes. Individual differences in placebo analgesia were associated with increases in fatty acid amide hydrolase (FAAH) substrates--a composite of anandamide, palmitoylethanolamide, and oleoylethanolamide--but not 2-arachidonoylglycerol or {beta}-endorphin alone. Critically, {beta}-endorphin moderated this relationship: FAAH substrates were strongly associated with pain reduction only when {beta}-endorphin levels were low. These findings provide evidence that eCB and opioid systems interact in a state-dependent manner during placebo analgesia in humans, with implications for understanding individual variability in treatment responses.

neuroscience↗

bioRxiv2025

The Contribution of Circulating Endocannabinoid Tone to Individual Differences in Human Pain Sensitivity: A Quantitative Sensory Testing Study

The endocannabinoid (eCB) system--comprising cannabinoid receptors, eCBs (anandamide-- AEA, 2-arachidonoylglycerol--2-AG) and related N-acylethanolamines (NAEs; N-palmitoylethanolamide--PEA, and N-oleoylethanolamide--OEA), and metabolizing enzymes (e.g., fatty acid amide hydrolase; FAAH)--modulates nociceptive circuits in rodents. In humans, the FAAH C385A polymorphism is associated with reduced pain sensitivity, suggesting eCB tone influences individual pain differences, but this has yet to be tested. Here, we determined whether the eCB system is associated with somatosensory and pain sensitivity measured with quantitative sensory testing (QST) in 91 healthy participants (39 males, 52 females). We tested three hypotheses: (1) FAAH C385A polymorphism, cannabis use, and sex affect serum eCB/NAE concentrations; (2) FAAH C385A carriers show altered pain sensitivity versus non-carriers; and (3) baseline serum eCB/NAE concentrations are associated with QST measures. eCB/NAE concentrations were not statistically different based on sex (p > .05), based on FAAH genotype (p > .05), and based on cannabis use (p > .05). To address collinearity of AEA, OEA and PEA, we performed a principal components analysis, which identified a single component of FAAH substrates. Linear regressions found that FAAH genotype did not affect QST measures and that baseline 2-AG and FAAH substrate concentrations were not associated with QST measures, except pressure pain thresholds (PPT; p = 0.003), which were associated with AEA and OEA. Baseline eCB/NAE levels and FAAH genotype are not associated with the outcome measures of standard QST tests that rely on point estimates in healthy adult humans; nonetheless, circulating FAAH substrate levels were associated with PPT.

neuroscience↗

bioRxiv2025

Domain-general neural effects of associative learning and expectations on pain and hedonic taste perception

Predictive cues significantly influence perception through associative learning. However, it is unknown whether circuits are conserved across domains. We investigated how associative learning influences perceived intensity and valence of pain and hedonic taste and whether the mechanisms that support expectancy-based modulation vary as a function of aversiveness and modality. Sixty participants were randomly assigned to receive either painful heat, unpleasant liquid saline, or pleasant liquid sucrose during fMRI scanning. Following conditioning, cues that were initially associated with low or high intensity outcomes were intermittently followed by stimuli calibrated to elicit medium intensity ratings. Learned cues modulated expectations and subjective outcomes similarly across domains. Consistent with this, the orbitofrontal cortex exhibited domain-general anticipatory activation. The left anterior insula mediated domain-general cue effects on subjective intensity, whereas the thalamus mediated cue effects on subjective valence. Notably, these two regions were nearly identical to those previously implicated in mediating cue effects on pain (nearly identical to those previously implicated in cue effects on mediating pain (Atlas et al., 2010). Pain specificity was evident when we measured variations in stimulus intensity, whether we used univariate or multivariate approaches, but there was minimal evidence of specificity by modality or aversiveness when we examined cue effects on medium trials. These findings suggest that shared neural circuits mediate the effects of learned expectations on perception, linking pain with other areas of affective processing and perception across domains.

neuroscience↗

bioRxiv2024

Subjective salience ratings are a reliable proxy for physiological measures of arousal

Pain is an inherently salient multidimensional experience that signals potential bodily threats and promotes nocifensive behaviours. Any stimulus can be salient depending on its features and context. This poses a challenge in delineating pain-specific processes in the brain, rather than salience-driven activity. It is thus essential to salience match control (innocuous) stimuli and noxious stimuli, to remove salience effects, when aiming to delineate pain-specific mechanisms. Previous studies have salience-matched either through subjective salience ratings or the skin conductance response (SCR). The construct of salience is not intuitive, and thus matching through self-report poses challenges. SCR is used as a proxy measure that captures physiological arousal, which overcomes the nebulous construct of salience. However, SCR cannot be used to salience-match in real-time (i.e., during an experiment) and assumes an association between salience and physiological arousal elicited by painful and non-painful stimuli, but this has not been explicitly tested. To determine whether salience and physiological arousal are associated, thirty-five healthy adults experienced 30 heat pain and 30 non-painful electric stimuli of varying intensities. Stimuli were subjectively matched for salience and SCR was measured to each presentation. A linear mixed model found no differences in SCR between salience-matched heat and electric stimuli. A mediation analysis showed that salience fully mediated the relationship between stimulus intensity and SCR (proportion mediated=83%). In conclusion, salience and physiological arousal are associated, and subjective salience ratings are a suitable for salience-matching pain with non-painful stimuli. Future work can thus use subjective salience ratings to delineate pain-specific processes.

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bioRxiv2021

Human ventromedial prefrontal cortex lesions enhance expectation-related pain modulation

Pain is strongly modulated by expectations and beliefs. Research across species indicates that subregions of the ventromedial prefrontal cortex (VMPFC) play a fundamental role in learning and generating predictions about valued outcomes. Consistent with this overarching framework, neuroimaging studies of experimental pain indicate that VMPFC activation tracks expectations of pain relief and statistically mediates expectation-related reductions in responses to painful stimuli across a distributed pain processing network. However, lesion studies in preclinical models and in humans with refractory chronic pain suggest that VMPFC may play a more general role in representing the affective and motivational qualities of pain that contribute to its strong aversive drive. To test whether VMPFC is necessary for pain processing in general, or instead plays a more specific role in the modulation of pain by expectations, we studied responses to experimental heat pain in five adults with bilateral surgical lesions of VMPFC and twenty healthy adults without brain damage. All participants underwent quantitative sensory testing (QST) to characterize pain sensitivity, followed by a pain expectancy task. Participants were instructed that auditory cues would be followed by heat calibrated to elicit low or high pain. Following a conditioning phase, each cue was intermittently paired with a single temperature calibrated to elicit moderate pain. We compared ratings of moderate heat stimuli and subjective expectancy ratings as a function of cue to evaluate whether VMPFC lesions impact cue-based expectancy and expectancy effects on pain intensity and unpleasantness. We also analyzed QST measures to evaluate whether VMPFC lesions were associated with overall shifts in pain sensitivity. Compared to adults without brain damage, individuals with VMPFC lesions reported larger differences in expectations as a function of pain-predictive cues, and stronger cue-based modulation of pain ratings, particularly for ratings of pain unpleasantness. There were no group differences in pain sensitivity, nor in the relationship between pain and autonomic arousal, indicating that the impact of VMPFC lesions is specific to expectancy-based modulation of pain unpleasantness. Our findings suggest that the VMPFC is not essential for basic subjective and physiological responses to painful stimuli. Rather, our findings of significantly enhanced cue- related expectancy effects may suggest that VMPFC plays an important role in updating expectations or integrating sensory information with expectations to guide subjective judgements about pain. Taken together, these results expand our understanding VMPFCs contribution to pain and highlight the role of VMPFC in integrating cognitive representations with sensory information to yield affective responses.

neuroscience↗

bioRxiv2021

Instructions and experiential learning have similar impacts on pain and pain-related brain responses but produce dissociations in value-based reversal learning

Recent data suggest that interactions between systems involved in higher order knowledge and associative learning drive responses during appetitive and aversive learning. However, it is unknown how these systems impact subjective responses, such as pain. We tested how instructions and reversal learning influence pain and pain-evoked brain activation. Healthy volunteers (n = 40) were either instructed about contingencies between cues and aversive outcomes or learned through experience in a paradigm where contingencies reversed three times. We measured predictive cue effects on pain and heat-evoked brain responses using functional magnetic resonance imaging. Predictive cues dynamically modulated pain perception as contingencies changed, regardless of whether participants received contingency instructions. Heat-evoked responses in the insula, anterior cingulate, and putamen updated as contingencies changed, whereas the periaqueductal gray and thalamus responded to initial contingencies throughout the task. Quantitative modeling revealed that expected value was shaped purely by instructions in the Instructed Group, whereas expected value updated dynamically in the Uninstructed Group as a function of error-based learning. These differences were accompanied by dissociations in the neural correlates of value-based learning in the rostral anterior cingulate, medial prefrontal cortex, and orbitofrontal cortex. These results show how predictions impact subjective pain. Moreover, imaging data delineate three types of networks involved in pain generation and value-based learning: those that respond to initial contingencies, those that update dynamically during feedback-driven learning as contingencies change, and those that are sensitive to instruction. Together, these findings provide multiple points of entry for therapies designs to impact pain.

neuroscience↗

bioRxiv2020

Evoked pain intensity representation is distributed across brain systems: A multistudy mega-analysis

Information is coded in the brain at different scales for different phenomena: locally, distributed across regions and networks, and globally. For pain, the scale of representation is controversial. Although generally believed to be an integrated cognitive and sensory phenomenon implicating diverse brain systems, quantitative characterizations of which regions and networks are sufficient to represent pain are lacking. In this meta-analysis (or mega-analysis) using data from 289 participants across 10 studies, we use model comparison combined with multivariate predictive models to investigate the spatial scale and location of acute pain representation. We compare models based on (a) a single most pain-predictive module, either previously identified elementary regions or a single best large-scale cortical resting-state network module; (b) selected cortical-subcortical systems related to evoked pain in prior literature ( multi-system models); and (c) a model spanning the full brain. We estimate the accuracy of pain intensity predictions using cross validation (7 studies) and subsequently validate in three independent holdout studies. All spatial scales convey information about pain intensity, but distributed, multi-system models better characterize pain representations than any individual region or network (e.g. multisystem models explain >20% more of individual subject pain ratings than the best elementary region). Full brain models showed no predictive advantage over multi-system models. These findings quantify the extent that representation of evoked pain experience is distributed across multiple cortical and subcortical systems, show that pain representation is not circumscribed by any elementary region or conical network, and provide a blueprint for identifying the spatial scale of information in other domains. Significance StatementWe define modular, multisystem and global views of brain function, use multivariate fMRI decoding to characterize pain representations at each level, and provide evidence for a multisystem representation of evoked pain. We further show that local views necessarily exclude important components of pain representation, while a global full brain representation is superfluous, even though both are viable frameworks for representing pain. These findings quantitatively juxtapose and reconcile divergent conclusions from evoked pain studies within a generalized neuroscientific framework, and provide a blueprint for investigating representational architecture for diverse brain processes.

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bioRxiv2018

Multiple brain networks mediating stimulus-pain relationships in humans

The brain transforms nociceptive input into a complex pain experience comprised of sensory, affective, motivational, and cognitive components. However, it is still unclear how pain arises from nociceptive input, and which brain networks coordinate to generate pain experiences. We introduce a new high-dimensional mediation analysis technique to estimate distributed, network-level patterns mediating the relationship between stimulus intensity and pain. In a large-scale analysis of functional magnetic resonance imaging data (N=284), we identify both traditional mediators in somatosensory brain regions and additional mediators located in prefrontal, midbrain, striatal, and default-mode regions unrelated to nociception in standard analyses. The whole brain mediators are specific for pain vs. aversive sounds and are organized in five functional networks. Brain mediators explain 32% more within-subject variance of single-trial pain ratings than previous brain-based models. Our results provide a new, broader view of the networks underlying pain experience, as well as distinct targets for interventions.

neuroscience↗