Neutral Statements Research Articles

Do ChatGPT and Gemini Provide Appropriate Recommendations for Pediatric Orthopaedic Conditions?

Artificial intelligence (AI), and in particular large language models (LLMs) such as Chat Generative Pre-Trained Transformer (ChatGPT) and Gemini have provided additional resources for patients to research the management of healthcare conditions, for their own edification and the advocacy in the care of their children. The accuracy of these models, however, and the sources from which they draw conclusions, have been largely unstudied in pediatric orthopaedics. This research aimed to assess the reliability of machine learning tools in providing appropriate recommendations for the care of common pediatric orthopaedic conditions. ChatGPT and Gemini were queried using plain language generated from the American Academy of Orthopaedic Surgeons (AAOS) Clinical Practice Guidelines (CPGs) listed on the Pediatric Orthopedic Society of North America (POSNA) web page. Two independent reviewers assessed the accuracy of the responses, and chi-square analyses were used to compare the 2 LLMs. Inter-rater reliability was calculated via Cohen's Kappa coefficient. If research studies were cited, attempts were made to assess their legitimacy by searching the PubMed and Google Scholar databases. ChatGPT and Gemini performed similarly, agreeing with the AAOS CPGs at a rate of 67% and 69%. No significant differences were observed in the performance between the 2 LLMs. ChatGPT did not reference specific studies in any response, whereas Gemini referenced a total of 16 research papers in 6 of 24 responses. 12 of the 16 studies referenced contained errors and either were unable to be identified (7) or contained discrepancies (5) regarding publication year, journal, or proper accreditation of authorship. The LLMs investigated were frequently aligned with the AAOS CPGs; however, the rate of neutral statements or disagreement with consensus recommendations was substantial and frequently contained errors with citations of sources. These findings suggest there remains room for growth and transparency in the development of the models which power AI, and they may not yet represent the best source of up-to-date healthcare information for patients or providers.

Syntactic and emotional interplay in second language: emotional resonance but not proficiency modulates affective influences on L2 syntactic processing

ABSTRACT Previous research has demonstrated the influence of emotions during linguistic processing, indicating the interactivity of both processes in the brain. However, little is known regarding such interplay in a second language (L2). This study addressed this question by examining the reading effects of syntactic violations while processing L2 emotional and neutral statements. Forty-six Spanish-English bilinguals with various levels of L2 proficiency and emotional resonance (i.e. capability for emotional experience in L2) were presented with a self-paced sentence reading task. Sentences contained positive (16), neutral (16) and negative (16) verbs, half of them presented in agreement and half in disagreement with the preceding pronoun. Analysis of verb reading times using linear mixed effects modelling revealed a significant interaction between syntactic violation, verb valence and emotional resonance, suggesting that stronger emotional L2 experience results in a higher saliency of negative verbs, reducing the impact of syntactic violations.

Emotion-related impulsivity and suicidal ideation and behavior in schizophrenia spectrum disorder: a pilot fMRI study.

Suicidal ideation and behavior (SIB) are serious problems in people with schizophrenia spectrum disorders (SSD). Nevertheless, relatively little is known about the circuitry underlying SIB in SSD. Recently, we showed that elevated emotional impulsivity (urgency) was associated with SIB in SSD. Here we examined brain activity in people with SSD and elevated SIB. We tested 16 people with SSD who had low SIB and 14 people with high SIB on a task in which emotion regulation in response to affective pictures was implicitly manipulated using spoken sentences. Thus, there were neutral pictures preceded by neutral statements (NeutNeut condition), as well as negative pictures preceded by either negative (NegNeg) or neutral (NeutNeg) statements. After each picture, participants rated how unpleasant each picture was for them. The latter two conditions were compared to the NeutNeut condition. We compared the emotion-regulated condition (NeutNeg) to the unregulated condition (NeutNeut). Statistics were threshold using threshold free cluster enhancement (TFCE). People in the low SIB group showed higher activation in this contrast in medial frontal gyrus, right rostral anterior cingulate, bilateral superior frontal gyrus/DLPFC, and right middle cingulate gyrus, as well as right superior temporal gyrus. This study provides clues to the neural basis of SIB in SSD as well as underlying mechanisms.

Unwrapping the Native Plant Black Box: Consumer Perceptions and Segments for Target Marketing Strategies

The increasing demand for sustainable products has helped spur demand for native plants. This study used an online survey of 2066 US consumers, a factor analysis, and Ward’s linkage cluster analysis to identify unique customer segments in the native plant marketplace. The following three clusters were identified: native averse (31.6%), native curious (35.7%), and native enthusiast (32.7%). The native enthusiast cluster agreed strongly with positive statements related to native plant perceptions and attributes. The native averse cluster exhibited the lowest level of agreement with these items and the greatest level of agreement with negative or neutral statements about native plants. The native curious cluster was intermediate between the other clusters but generally agreed with positive attributes. Demographic characteristics impacted cluster membership. The marketing implications are discussed.

The SocialVidStim: a video database of positive and negative social evaluation stimuli for use in social cognitive neuroscience paradigms.

This paper describes the SocialVidStim-a database of video stimuli available to the scientific community depicting positive and negative social evaluative and neutral statements. The SocialVidStim comprises 53 diverse individuals reflecting the demographic makeup of the USA, ranging from 9 to 41 years old, saying 20-60 positive and 20-60 negative social evaluative statements (e.g. 'You are a very trustworthy/annoying person'), and 20-60 neutral statements (e.g. 'The sky is blue'), totaling 5793 videos post-production. The SocialVidStim are designed for use in behavioral and functional magetic resonance imaging paradigms, across developmental stages, in diverse populations. This study describes stimuli development and reports initial validity and reliability data on a subset videos (N = 1890) depicting individuals aged 18-41 years. Raters perceive videos as expected: positive videos elicit positively valenced ratings, negative videos elicit negatively valenced ratings and neutral videos are rated as neutral. Test-retest reliability data demonstrate intraclass correlations in the good-to-excellent range for negative and positive videos and the moderate range for neutral videos. We also report small effects on valence and arousal that should be considered during stimuli selection, including match between rater and actor sex and actor believability. The SocialVidStim is a resource for researchers and we offer suggestions for using the SocialVidStim in future research.

DOP02 Developing explicit thresholds for outcomes to inform (GRADE) Evidence to Decision frameworks for Inflammatory Bowel Disease guidelines

Abstract Background Evidence to decision (EtD) frameworks are a key recent development in Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) methodology. They aim to ensure that decisions about healthcare interventions are based on a thorough, transparent and unbiased assessment of the available evidence. Core to this is to agree the importance of outcomes to be used, the specific measures for each outcome that have the most consensus and finally to develop explicit thresholds for interpretation of effect sizes of outcomes to inform (GRADE) evidence to decision frameworks. This ensures decisions are made in an unbiased fashion and allows stakeholders to focus on discussions based on their significant experience and expertise, rather than interpretation of evidence. Therefore, our study aims to develop these thresholds for the EtD framework to establish their use in several key IBD guidelines. Methods This online survey using Survey Monkey was conducted by inviting experts and stakeholders from the United Kingdom and British Society of Gastroenterology. Each expert was asked to select important clinically relevant outcomes and were asked about what magnitude of the effect they consider large, moderate, small, or trivial for each of the clinical, endoscopic, radiological, biochemical, histological outcomes and adverse events. Questions were framed as neutral statements without introducing a specific direction. Response options included sliding bars going from 1 to 100% for the desirable magnitude of effect for each outcome (Figure 1). The mean average of responses of experts were calculated. Results A total of 89 clinical experts/stakeholders participated in this online survey. Clinical remission, clinical response, endoscopic remission, withdrawal due to adverse events, and serious adverse events were considered critical outcomes. Trivial to small, small to moderate and moderate to large thresholds were as follows - clinical remission (10%, 20% and 31%), clinical response (13 %, 24% and 36%), endoscopic remission (9%, 17% and 28%), withdrawal due to AE (7 %, 14% and 23%), serious AE (6%, 11% and 17%) (Table 1). Conclusion This is the first study to develop thresholds for outcomes in IBD which can be used in EtD for the development of IBD guidelines. These thresholds have been used in the development of upcoming British Society of Gastroenterology guidelines for the management of IBD.

Aberrant function of the salience network related to maltreatment experiences during thought-action fusion.

Childhood maltreatment (CM) causes early deviations in cognitive and affective processes, leading to future adaptation failures and psychopathology. Specifically, CM has been linked to cognitive distortions, and recent studies have focused on the impact of CM on the higher level of metacognitive beliefs. However, only a few studies have revealed the neural mechanisms underlying the association between altered metacognition and CM. Therefore, this functional magnetic resonance imaging (fMRI) study investigated the neural correlates of thought-action fusion (TAF) tendency and CM experiences. Overall, 40 young and healthy adults (21 men) participated in this study and underwent fMRI during the TAF task as well as psychological evaluation for CM, TAF tendency, anxiety, and depressive symptoms. During the TAF task, they were asked to read negative (Neg) or neutral (Neu) statements about neutral or close people (CP). Notably, significant activations were found in regions such as the bilateral anterior insula, dorsal anterior cingulate cortex (dACC), caudate, thalamus, medial prefrontal cortex, precuneus, and right amygdala in the NegCp > NeuCP contrast. Furthermore, anterior insula and dACC activities were significantly correlated with total scores of CM experiences and TAF. Exaggerated TAF tendency in persons with CM experiences was associated with increased response of the anterior insula and dACC, which are two core hubs of the salience network. Our results therefore seem to suggest insights for a better understanding of the neural mechanisms underlying metacognitive beliefs related to CM experiences.

When “Sometimes” Means “Often”: How Stereotypes Affect Interpretations of Quantitative Expressions

Two experiments investigated whether interpretations of quantitative expressions about described actors’ behaviors are influenced by stereotypic expectancies. Participants rated sentences containing frequency adverbs describing either stereotype-consistent or stereotype-inconsistent behaviors. Results showed that recipients inferred a higher numerical frequency when sentences described stereotype-consistent (vs inconsistent) behaviors. These effects of stereotype consistency were stronger for high (vs low) degree frequency adverbs. The findings show how neutral statements about a person can be interpreted as stereotype-confirming information and thus contribute to stereotype maintenance.

Canadian Newspapers Support Mifepristone Medication Abortion to Improve Fulfillment of the AAAQ Right to Health Framework (2015-2019).

In 2015, mifepristone in combination with misoprostol, the international gold standard for medication abortion, was approved for use in Canada. By 2019, all Canadian provinces had included the medication as a publicly insured health benefit. Our content analysis of Canadian newspaper coverage describes arguments in favor of or against medication abortion and the evolving regulatory framework for mifepristone from 6 months before regulatory approval until the last significant regulatory barrier to use was removed (2015-2019). Our study found an exceptionally high level of support for the approval of, introduction of, and removal of regulatory barriers to mifepristone for medication abortion. Of 402 pieces, 67% were pro-medication abortion, 25% presented balanced or neutral coverage, and only 8% presented solely anti-medication abortion viewpoints. Of the 761 individuals quoted, more than 90% made positive or neutral statements about medication abortion. Most pieces discussed medication abortion as a health issue and described how liberalization of the regulatory framework would improve abortion availability (68%), accessibility (87%), acceptability (34%), and quality (28%). Rather than formal balance, which presents contrasting arguments as equally valid even when the scientific evidence for one vastly outweighs the other, our study identified evidentiary balance, in which coverage aligned with the weight of evidence and expert opinion. Our results differ from analyses in other high-income countries (United Kingdom, United States) where media outlets frame abortion in relation to morality or electoral politics rather than as a health issue. The Canadian print media presented overwhelmingly favorable arguments toward the expansion of mifepristone medication abortion and framed the introduction and universal coverage of medication abortion as advancing the "Availability, Accessibility, Acceptability, and Quality" (AAAQ) Right to Health Framework that establishes international human rights standards for health information, facilities, goods, and services.

A - 93 The Impact of Motivation on Neuropsychological Performance in Chronic Cannabis Users.

Cannabis is one of the most widely used substances, and although the literature shows that it affects users' cognition, it is unclear how much that impact is affected by factors such as motivation. Previous studies utilizing validity measures showed that user motivation to perform well positively impacts California Verbal Learning Test - II performance, which was higher in cannabis users who completed it immediately after a motivational statement (Macher & Earleywine, 2012). In the present study, the authors altered the order of test administration to further delineate the role motivation plays in cannabis user performance on neuropsychological measures. Participants (48 cannabis users, 23 nonusers) completed a neuropsychological battery, including performance validity measures, with random assignment to a motivational or neutral condition. The test order was altered to evaluate whether a motivational statement had an effect on any subsequent test administered or a lasting effect throughout the battery. Analyses revealed significant differences in performance, with users in the motivational condition performing better than users in the neutral condition on the Block Design (p = 0.006, partial eta squared = 0.157) and Digit Symbol Coding (p = 0.011, partial eta squared = 0.137) subtests of the WAIS-III (both indicating large effect sizes). Nonusers in the neutral condition performed better than nonusers in the motivational condition on multiple subtests. Results indicate that cannabis users exposed to the motivational statement performed better than those given a neutral statement on several neuropsychological tests. Findings suggest that cannabis users can demonstrate better cognitive performance when sufficiently motivated.

Growth mindset and social comparison effects in a peer virtual learning environment

Peers become especially influential in adolescence, a developmental period marked by a nadir in school motivation. In the classroom, adolescents often engage in social comparison with their peers to ascertain their own academic competence, which can have substantial effects on their motivation and learning. The present experimental study examined how peer mindset and social comparison processes may interact to affect adolescents’ learning outcomes and responses to social comparison. Participants (N = 120, Mage = 12.73 years, 58% female) created avatars to virtually represent themselves and heard growth mindset or neutral statements from purported peer avatars. They then completed a series of online, self-report surveys measuring their learning outcomes, completed problem-solving tasks, and received feedback on their and their peers’ performance via a virtual leaderboard. Multivariate between-group comparison revealed growth mindset peers increased adolescents’ learning outcomes, while social comparison dampened outcomes. No interactions between peer growth mindset and social comparison were found.

Learning Analytics on YouTube Educational Videos: Exploring Sentiment Analysis Methods and Topic Clustering

The popularity of social media is continuously growing, as it endeavors to bridge the gap in communication between individuals. YouTube, one of the most well-known social media platforms with millions of users, stands out due to its remarkable ability to facilitate communication through the exchange of video content. Despite its primary purpose being entertainment, YouTube also offers individuals the valuable opportunity to learn from its vast array of educational content. The primary objective of this study is to explore the sentiments of YouTube learners by analyzing their comments on educational YouTube videos. A total of 167,987 comments were extracted and processed from educational YouTube channels through the YouTube Data API and Google Sheets. Lexicon-based sentiment analysis was conducted using two different methods, VADER and TextBlob, with the aim of detecting the prevailing sentiment. The sentiment analysis results revealed that the dominant sentiment expressed in the comments was neutral, followed by positive sentiment, while negative sentiment was the least common. VADER and TextBlob algorithms produced comparable results. Nevertheless, TextBlob yielded higher scores in both positive and negative sentiments, whereas VADER detected a greater number of neutral statements. Furthermore, the Latent Dirichlet Allocation (LDA) topic clustering outcomes shed light on various video attributes that potentially influence viewers’ experiences. These attributes included animation, music, and the conveyed messages within the videos. These findings make a significant contribution to ongoing research efforts aimed at understanding the educational advantages of YouTube and discerning viewers’ preferences regarding video components and educational topics.

Using machine learning to assess rape reports: Sentiment analysis detection of officers' “signaling” about victims' credibility

PurposeThe first of two articles from a larger study whose aim was to teach a computer to detect innuendo (or signaling) about a victim's credibility in incident reports of rape. This study explored the degree of sentiment and subjectivity in the reports and whether these predicted case progression and outcomes. MethodsWe employed machine learning, specifically sentiment analysis to assess sentiment (opinion) and subjectivity of textual content. The sample consists of 5638 incident reports of rape with a sexual assault kit from a U.S., urban Midwestern jurisdiction. ResultsSentiment was detected, tended to skew near neutral/slightly negative and more subjective, and predicted case progression and outcomes, but was not quite what was expected. ConclusionsWe taught a computer to detect signaling via tone that predicted case progression and outcomes. Findings indicate that the cases recommended for prosecution were longer and had positive sentiment and positive subjectivity. Cases not recommended for prosecution were shorter with more neutral statements of “fact” or observations. Implications and recommendations for improved, less biased report writing are provided.

Perspectives and Experiences of Patients With Thyroid Cancer at a Global Level: Retrospective Descriptive Study of Twitter Data.

Twitter has become a popular platform for individuals to broadcast their daily experiences and opinions on a wide range of topics and emotions. Tweets from patients with cancer could offer insights into their needs. However, limited research has been conducted using Twitter data to understand the needs of patients with cancer despite the substantial amount of health-related data posted on the platform daily. This study aimed to uncover the potential of using Twitter data to understand the perspectives and experiences of patients with thyroid cancer at a global level. This retrospective descriptive study collected tweets relevant to thyroid cancer in 2020 using the Twitter scraping tool. Only English-language tweets were included, and data preprocessing was performed to remove irrelevant tweets, duplicates, and retweets. Both tweets and Twitter users were manually classified into various groups based on the content. Each tweet underwent sentiment analysis and was classified as either positive, neutral, or negative. A total of 13,135 tweets related to thyroid cancer were analyzed. The authors of the tweets included patients with thyroid cancer (3225 tweets, 24.6%), patient's families and friends (2449 tweets, 18.6%), medical journals and media (1733 tweets, 13.2%), health care professionals (1093 tweets, 8.3%), and medical health organizations (940 tweets, 7.2%), respectively. The most discussed topics related to living with cancer (3650 tweets, 27.8%), treatment (2891 tweets, 22%), diagnosis (1613 tweets, 12.3%), risk factors and prevention (1137 tweets, 8.7%), and research (953 tweets, 7.3%). An average of 36 tweets pertaining to thyroid cancer were posted daily. Notably, the release of a film addressing thyroid cancer and the public disclosure of a news reporter's personal diagnosis of thyroid cancer resulted in a significant escalation in the volume of tweets. From the sentiment analysis, 53.5% (7025/13,135) of tweets were classified as neutral statements and 32.7% (4299/13,135) of tweets expressed negative emotions. Tweets from patients with thyroid cancer had the highest proportion of negative emotion (1385/3225 tweets, 42.9%), particularly when discussing symptoms. This study provides new insights on usingTwitter data as a valuable data source to understand the experiences of patients with thyroid cancer. Twitter may provide an opportunity to improve patient and physician engagement or apply as a potential research data source.

Sentiment Analysis Framework using Deep Active Learning for Smartphone Aspect Based Rating Prediction

Abstract Social media are a rich source of user generated content where people express their views towards the products and services they encounter. However, sentiment analysis using machine learning models are not easy to implement in a time and cost effective manner due to the requirement of expert human annotators to label the training data. The proposed approach uses a novel method to remove the neutral statements using a combination of lexicon based approach and human effort. This is followed by using a deep active learning model to perform sentiment analysis to reduce annotation efforts. It is compared with the baseline approach representing the neutral tweets also as a part of the data. Considering brands require aspect based ratings towards their products or services, the proposed approach also categorizes predicting ratings of each aspect of mobile device.

Fragile Heterosexuality: Do Sexual Minorities also Perceive Heterosexuality as Fragile?

Previous evidence shows that heterosexual people perceive heterosexual status to be more fragile than homosexual status. However, research has not yet investigated whether sexual minorities have similar, or diverging, perceptions of the fragility of sexual orientation. With a sample that included 89 heterosexual and 80 sexual minority participants, we investigated the fragility of heterosexuality using a between-participants design in which participants indicated their agreement with gender neutral statements about the fragility of either heterosexual or homosexual status. Contrary to our expectations we found evidence of Fragile Heterosexuality perceptions regardless of participants’ sexual orientation. Additionally, we explored the potential moderating effects of social-dominance orientation, right-wing authoritarianism and prejudice against gay/lesbian people on this Fragile Heterosexuality effect. For sexual minority participants, high levels of social dominance orientation moderated (i.e., increased) the perceived fragility of heterosexual identity relative to homosexual identity. No other inter-group ideology was a significant moderator. These findings highlight that heterosexuality is perceived as more fragile by both heterosexual and sexual minority individuals. Implications and possible avenues for future research are discussed.

Hungry for compliments? Ghrelin is not associated with neural responses to social rewards or their pleasantness.

The stomach-derived hormone ghrelin motivates food search and stimulates food consumption, with highest plasma concentrations before a meal and lowest shortly after. However, ghrelin also appears to affect the value of non-food rewards such as interaction with rat conspecifics, and monetary rewards in humans. The present pre-registered study investigated how nutritional state and ghrelin concentrations are related to the subjective and neural responses to social and non-social rewards. In a cross-over feed-and-fast design, 67 healthy volunteers (20 women) underwent functional magnetic resonance imaging (fMRI) in a hungry state and after a meal with repeated plasma ghrelin measurements. In task 1, participants received social rewards in the form of approving expert feedback, or non-social computer reward. In task 2, participants rated the pleasantness of compliments and neutral statements. Nutritional state and ghrelin concentrations did not affect the response to social reward in task 1. In contrast, ventromedial prefrontal cortical activation to non-social rewards was reduced when the meal strongly suppressed ghrelin. In task 2, fasting increased activation in the right ventral striatum during all statements, but ghrelin concentrations were neither associated with brain activation nor with experienced pleasantness. Complementary Bayesian analyses provided moderate evidence for a lack of correlation between ghrelin concentrations and behavioral and neural responses to social rewards, but moderate evidence for an association between ghrelin and non-social rewards. This suggests that ghrelin's influence may be restricted to non-social rewards. Social rewards implemented via social recognition and affirmation may be too abstract and complex to be susceptible to ghrelin's influence. In contrast, the non-social reward was associated with the expectation of a material object that was handed out after the experiment. This may indicate that ghrelin might be involved in anticipatory rather than consummatory phases of reward.

The Effects of Healthcare Robot Empathy Statements and Head Nodding on Trust and Satisfaction: A Video Study

Clinical empathy has been associated with many positive outcomes, including patient trust and satisfaction. Physicians can demonstrate clinical empathy through verbal statements and non-verbal behaviors, such as head nodding. The use of verbal and non-verbal empathy behaviors by healthcare robots may also positively affect patient outcomes. The current study examined whether the use of robot verbal empathy statements and head nodding during a video recorded interaction between a healthcare robot and patient improved participant trust and satisfaction. One hundred participants took part in the experiment, online through Amazon Mechanical Turk. They were randoimnized to watch one of four videos depicting an interaction with a `patient' and a Nao robot that (1) either made empathetic or neutral statements, and (2) either nodded its head when listening to the patient or did not. Results showed that the use of empathetic statements by the healthcare robot significantly increased participant perceptions of robot empathy, trust and satisfaction, and reduced robot distrust. No significant findings were revealed in relation to robot head nodding. The positive effects of empathy statements support the model of Robot-Patient Communication, which theorizes that robot use of recommended clinical empathy behaviors can improve patient outcomes. The effects of healthcare robot nodding behavior needs to be further investigated.

The Uncertain Certainty: A Mixed Methods Exploration of Personal Meanings of Death and Preliminary Insights Into Their Relationship With Worldview.

The present mixed methods study investigated personal meanings of death, i.e., concepts, views, and expectations associated with one's own death, and explored their relation to worldview. To this end, a sample of 202 young, German-speaking adults completed the Death Statements Test, a new qualitative assessment tool, as well as quantitative measures of religiosity, spirituality, atheism, and agnosticism. Qualitative data was transformed to enable quantitative analyses. Results indicated that the spectrum of personal meanings of death is generally broad and multifaceted. The most prevalent view on death was "death as source of motivation and meaning in life." The frequencies of emotionally positive and negative death meanings were relatively balanced, while neutral statements dominated. Relationships between participants' death meanings and worldview dimensions turned out to be small but existent. The Death Statements Test proved to be a valuable and economic assessment tool, eliciting rich qualitative material on personal meanings of death.

Emotional salience of positive and negative aspects of cannabis use in cannabis use disorder: The development of a novel self-referential processing task using the late positive potential

BackgroundCannabis Use Disorder (CUD) is increasingly prevalent in the United States, while perceived addiction risk and treatment-seeking are declining. Emotional salience of cannabis-use-related problems and benefits likely contribute to motivation to change, but measurement of this process has been limited. The present study sought to validate a novel assessment of emotional appraisal of self-referential cannabis-use-related information across subjective and neurophysiological units of analysis. MethodNon-treatment-seeking individuals with DSM-5 severe CUD (N = 42) completed a task that presented auditory self-referential, personalized cannabis-use-related problem and benefit statements, as well as neutral self-referential statements, during electroencephalography recording. The late positive potential (LPP) was used as a neurophysiological measure of emotional salience. Valence/arousal ratings of each statement, along with their motivational importance in sustaining vs. reducing cannabis use, were also obtained. ResultsAs predicted, valence and arousal ratings significantly differentiated cannabis-use-related problems and benefits from neutral statements. Partially consistent with predictions, the LPP to cannabis-use-related benefits was significantly larger than LPPs to cannabis-use-related problems and neutral statements, which did not differ from each other. Bonferroni-adjusted exploratory correlations revealed that the LPP to cannabis-use-related problems was sensitive to recent cannabis use frequency. ConclusionThese results provide some support for the validity of this novel multi-method assessment of emotional reactivity to personalized cannabis-use-related self-referential information in non-treatment-seeking individuals with severe CUD. The dissociation between subjective and neurophysiological reactivity to self-referential cannabis-related problem statements should be further explored.