Karen S. Quigley

Human experience varies across contexts and individuals. Yet, psychological studies typically seek to constrain rather than discover structured variation. Here we leverage a powerful alternative approach to examine variability in emotional experience by sampling multimodally from individuals across a variety of contexts throughout their daily life and employing unsupervised machine learning to discover reliable, person-specific, multimodal patterns of experience. Healthy adults (N=97) completed 14 days of biologically-triggered experience sampling. Participants wore mobile cardiac monitors for 8 hours/day and reported their current valence, arousal, primary activity (e.g., relaxing), social context (e.g., alone), and emotional experience (via free report) when prompted. Prompts were initiated whenever a sustained change in cardiac activity (i.e., interbeat interval) was detected in the absence of gross bodily movements (and twice randomly each day). From each event (10,755 total, M=110.9 events/person), we extracted cardiovascular, postural, affective, and contextual features, which were submitted to integrative clustering to derive reliable patterns for each individual. Integrative clustering identified 313 multimodal patterns (M=3.2 patterns/person). The number of multimodal patterns varied across people, as did, to varying extents, their nature. The features that best distinguished patterns from one another also varied by person. Critically, all participants mapped many emotion labels to a single multimodal pattern, and a single emotion label to many patterns (i.e., a many-to-many mapping). Our comprehensive approach has broad utility for discovering structured variation in emotional experience ‘in the wild’ and provides further evidence that emotions are diverse populations of instances constructed by a perceiver in context.

Background: US veterans with mental health disorders have high rates of smoking and low rates of smoking cessation. Objective: This study aims to focus on an adaptation of a web-based acceptance and commitment therapy (ACT) tobacco cessation intervention (Vet WebQuit) for veterans with mental health disorders who use tobacco and used a qualitative approach to test its usability (n=16). Methods: Participants were asked to walk through the site during laboratory-based usability testing and “think aloud” about the features of the intervention. A trained facilitator used semistructured interview questions to assess participants’ experiences with Vet WebQuit and obtain feedback on their impressions of the site. Qualitative analyses identified themes regarding participants’ experiences with the intervention, usability concerns, and recommendations for improving Vet WebQuit. Results: Overall, veterans found that the Vet WebQuit layout was simple and easy to navigate and use. Veterans reported that several features of the program were useful, including the quit plan, identification of triggers, content that targets mental health concerns (eg, dealing with anger), information on the health effects of smoking, tools for managing triggers (eg, urge surfing), and involving others in their quit plan. Veterans reported that particular features of the ACT approach for tobacco cessation were appealing to them, including the distinction between internal and external smoking triggers, the inclusion of the serenity prayer, and mindfulness exercises, which they could use as a tool reduce the intensity of cravings. Veterans reported wanting more information on the health aspects of smoking (ie, effects on breathing and lung capacity) as a way to motivate them to quit smoking. In addition, they suggested targeting specific mental health concerns that serve as triggers for smoking, including nightmares, boredom, and social isolation. Conclusions: Overall, results from this project identified important elements of ACT digital tobacco cessation interventions for veterans with mental health disorders.

Background: Functional neurological disorder (FND) is associated with alterations in functional brain networks, yet relationships between peripheral autonomic physiology and brain architecture remain poorly characterized. This pilot study examined associations between cardiac autonomic metrics and resting-state functional connectivity (rsFC) in FND. Methods: Twenty females with FND and 23 age-matched female psychiatric controls (PCs) completed questionnaires, 10-min resting photoplethysmography recordings, and same-day resting-state fMRI. Interbeat interval (IBI) and heart rate variability (HRV) metrics were extracted. Whole-brain rsFC was quantified using weighted-degree [centrality]. Within-group analyses tested associations between cardiac autonomic metrics and weighted-degree rsFC separately in FND and PC cohorts, adjusting for age, head motion, and antidepressant/beta-blocker use-while applying a cluster-wise correction. Results: Cardiac (IBI and HRV) metrics did not differ between FND and PC cohorts, and these metrics did not correlate with FND symptom severity, somatic symptom burden, affective symptoms, or childhood trauma. In FND, shorter IBI (i.e., faster resting heart rate) correlated with increased weighted-degree rsFC in bilateral supplementary motor area (SMA) and right precentral/superior frontal regions, whereas higher HRV primarily correlated with decreased weighted-degree rsFC in the bilateral SMA, mid-cingulate cortex, and right amygdala, anterior insula, and lateral orbitofrontal cortex. In PCs, autonomic-rsFC associations were more spatially restricted to the anterior/mid-cingulate and SMA. Conclusion: In FND, individual differences in resting autonomic physiology related to the centrality of brain areas that are part of the central autonomic, salience, and allostatic-interoceptive networks. These findings suggest that the relationship between autonomic physiology and network architecture may be important in FND. Keywords: functional neurological disorder; fMRI; heart rate; interbeat interval; heart rate variability; central autonomic network

The brain continuously anticipates the body’s energetic needs and prepares to meet them before they arise—a process called allostasis. To support allostasis, the brain continually models the body’s sensory state, a process known as interoception. Here we replicate and extend a large-scale system that supports allostasis and interoception in the human brain using ultrahigh precision 7 Tesla functional magnetic resonance imaging ( n = 90), improving precision in subgenual and pregenual anterior cingulate topography and expanding brainstem nuclei mapping. Our functional connectivity analyses provide corroborating evidence for more than 96% of the anatomical connections documented in nonhuman animal tract-tracing studies. This system also includes regions of dense intrinsic connectivity throughout the system, some of which were identified previously as part of the backbone of neural communication across the brain. These results reinforce the existing evidence for a whole-brain system that supports the modeling and regulation of the body’s internal milieu.

BACKGROUND US veterans with mental health disorders have high rates of smoking and low rates of smoking cessation. OBJECTIVE This study aims to focus on an adaptation of a web-based acceptance and commitment therapy (ACT) tobacco cessation intervention (Vet WebQuit) for veterans with mental health disorders who use tobacco and used a qualitative approach to test its usability (n=16). METHODS Participants were asked to walk through the site during laboratory-based usability testing and “think aloud” about the features of the intervention. A trained facilitator used semistructured interview questions to assess participants’ experiences with Vet WebQuit and obtain feedback on their impressions of the site. Qualitative analyses identified themes regarding participants’ experiences with the intervention, usability concerns, and recommendations for improving Vet WebQuit. RESULTS Overall, veterans found that the Vet WebQuit layout was simple and easy to navigate and use. Veterans reported that several features of the program were useful, including the quit plan, identification of triggers, content that targets mental health concerns (eg, dealing with anger), information on the health effects of smoking, tools for managing triggers (eg, urge surfing), and involving others in their quit plan. Veterans reported that particular features of the ACT approach for tobacco cessation were appealing to them, including the distinction between internal and external smoking triggers, the inclusion of the serenity prayer, and mindfulness exercises, which they could use as a tool reduce the intensity of cravings. Veterans reported wanting more information on the health aspects of smoking (ie, effects on breathing and lung capacity) as a way to motivate them to quit smoking. In addition, they suggested targeting specific mental health concerns that serve as triggers for smoking, including nightmares, boredom, and social isolation. CONCLUSIONS Overall, results from this project identified important elements of ACT digital tobacco cessation interventions for veterans with mental health disorders.

Background: Veterans are disproportionately affected by chronic pain, with high rates of pain diagnoses (47%-56%) and a 40% higher rate of prevalence of severe pain than nonveterans. This is often accompanied by negative functional outcomes and higher mortality. Combined with research suggesting medical treatments for chronic pain are often insufficient, there is an urgent need for nonmedical pain self-management programs. An interactive online platform to deliver an efficacious treatment for chronic pain such as acceptance and commitment therapy (ACT) could be a valuable option to assist veterans with pain care at home. Objective: This study aims to evaluate the virtual coach–guided Veteran ACT for Chronic Pain (VACT-CP) online program compared to a waitlist and treatment as usual (WL+TAU) control group through a small pilot feasibility randomized controlled trial. The primary aim was to evaluate the feasibility and acceptability of VACT-CP and study procedures, such as ease of recruitment, treatment receptivity, attrition and retention, sustained participation, system usability, and assessment of trial procedures. Secondary aims explored differences in the VACT-CP and WL+TAU groups on pre- and posttest (week 7) outcome measures for pain, mental health, functioning, and ACT processes. Methods: Veterans with chronic pain were recruited and randomized to either the VACT-CP (n=20) or the WL+TAU (n=22) group in a parallel group trial design. Self-report surveys were administered to participants at baseline (week 0), at the intervention midpoint (week 3), immediately after the intervention (week 7), and at the 1-month follow-up (week 11). We used Wilcoxon signed rank tests with the intention-to-treat sample to describe changes in secondary outcomes from pre- to postintervention within each group. Results: Study procedures showed good feasibility related to recruitment, enrollment, randomization, and study completion rates. Participants reported that VACT-CP was easy to use (System Usability Scale: mean 79.6, SD 12.8; median 82.5, IQR 70-87.5); they completed an average of 5 of the 7 total VACT-CP modules with high postintervention satisfaction rates. Qualitative feedback suggested a positive response to program usability, content tailoring, veteran centeredness, and perceived impact on pain management. Although the pilot feasibility trial was not powered to detect differences in clinical outcomes and significant findings should be interpreted with caution, the VACT-CP group experienced significant increases in chronic pain acceptance (P<.001) and decreases in depressive symptoms (P=.03). Conclusions: VACT-CP showed encouraging evidence of feasibility, usability, and acceptance, while also providing promising initial results in improving a key process in ACT for chronic pain—chronic pain acceptance—after online program use. A full-scale efficacy trial is needed to assess changes in clinical outcomes. Trial Registration: ClinicalTrials.gov NCT03655132; http://clinicaltrials.gov/ct2/show/NCT03655132 International Registered Report Identifier (IRRID): RR2-10.2196/45887

This Committee Report provides methodological, interpretive, and reporting guidance for researchers who use measures of heart rate (HR) and heart rate variability (HRV) in psychophysiological research. We provide brief summaries of best practices in measuring HR and HRV via electrocardiographic and photoplethysmographic signals in laboratory, field (ambulatory), and brain‐imaging contexts to address research questions incorporating measures of HR and HRV. The Report emphasizes evidence for the strengths and weaknesses of different recording and derivation methods for measures of HR and HRV. Along with this guidance, the Report reviews what is known about the origin of the heartbeat and its neural control, including factors that produce and influence HRV metrics. The Report concludes with checklists to guide authors in study design and analysis considerations, as well as guidance on the reporting of key methodological details and characteristics of the samples under study. It is expected that rigorous and transparent recording and reporting of HR and HRV measures will strengthen inferences across the many applications of these metrics in psychophysiology. The prior Committee Reports on HR and HRV are several decades old. Since their appearance, technologies for human cardiac and vascular monitoring in laboratory and daily life (i.e., ambulatory) contexts have greatly expanded. This Committee Report was prepared for the Society for Psychophysiological Research to provide updated methodological and interpretive guidance, as well as to summarize best practices for reporting HR and HRV studies in humans.

Is there a universal mapping of physiology to emotion, or do these mappings vary substantially by person or situation? Psychologists, philosophers, and neuroscientists have debated this question for decades. Most previous studies have focused on differentiating emotions on the basis of accompanying autonomic responses using analytical approaches that often assume within-category homogeneity. In the present study, we took an alternative approach to this question. We determined the extent to which the relationship between subjective experience and autonomic reactivity generalizes across, or depends upon, the individual and situation for instances of a single emotion category, specifically, fear. Electrodermal activity and cardiac activity-two autonomic measures that are often assumed to show robust relationships with instances of fear-were recorded while participants reported fear experience in response to dozens of fear-evoking videos related to three distinct situations: spiders, heights, and social encounters. We formally translated assumptions from diverse theoretical models into a common framework for model comparison analyses. Results exceedingly favored a model that assumed situation-dependency in the relationship between fear experience and autonomic reactivity, with subject variance also significant but constrained by situation. Models that assumed generalization across situations and/or individuals performed much worse by comparison. These results call into question the assumption of generalizability of autonomic-subjective mappings across instances of fear, as required in translational research from nonhuman animals to humans, and advance a situated approach to understanding the autonomic correlates of fear experience. (PsycInfo Database Record (c) 2024 APA, all rights reserved).