Emotional interference and attentional bias in compulsive sexual behaviors disorder - An fMRI study on heterosexual males.

Background and aims: Despite the inclusion of the Compulsive Sexual Behavior Disorder (CSBD) in the 11th edition of the International Classification of Diseases, emotional and cognitive impairments related to CSBD remains unclear. This study aimed to investigate the behavioral and neuronal effects of emotional interference on cognition among CSBD patients. Methods: Thirty heterosexual males with CSBD and matched healthy controls (HC) were studied with the Emotional Stroop Task using 5 categories of emotionally arousing words (sex-related, positive, fear-related, negative, neutral) during functional magnetic imaging. Results: At the behavioral level, we found the main effect of the condition: sex-related words evoked a stronger Stroop effect than other conditions. At the neural level, we found a significant group effect. Among CSBD patients processing of sex-related words was related to increased activity in the right putamen, right thalamus, hippocampi, and left pulvinar, when compared to HC. We also found a negative correlation between neuronal activation and time spent on sexual activity during the week preceding study and numerous group differences in brain regions connected to the emotional and motivational processing of sexually explicit material, correlating with CSBD symptoms. Conclusions: Behavioral results indicate a specific attentional bias toward sex-related stimuli in both groups, while neural data uncovered stronger reactivity to sex-related words in CSBD compared to HC. This reactivity is related to CSBD symptoms and provides evidence for the interference of sex-related stimuli with cognition. Such results are firmly in line with the Incentive Salience Theory and conceptualizing CSBD as a behavioral addiction.

Are Intelligent People Better Liars? Relationships between Cognitive Abilities and Credible Lying.

Lying is essential to social communication. Despite years of research, its detection still poses many challenges. This is partly because some individuals are perceived as truthful and reliable, even when lying. However, relatively little is known about these effective liars. In our study, we focused on the cognitive functioning of effective liars. We tested 400 participants who completed tasks measuring executive functions, verbal fluency, and fluid intelligence, and also made four statements (two true and two false, half of them written and half oral). The reliability of the statements was then assessed. Only fluid intelligence was found to be relevant for reliable lying. This relationship was only evident for oral statements, suggesting that the importance of intelligence is highlighted when statements are made spontaneously without prior preparation.

Truth or lie: Exploring the language of deception.

Lying appears in everyday oral and written communication. As a consequence, detecting it on the basis of linguistic analysis is particularly important. Our study aimed to verify whether the differences between true and false statements in terms of complexity and sentiment that were reported in previous studies can be confirmed using tools dedicated to measuring those factors. Further, we investigated whether linguistic features that differentiate true and false utterances in English-namely utterance length, concreteness, and particular parts-of-speech-are also present in the Polish language. We analyzed nearly 1,500 true and false statements, half of which were transcripts while the other half were written statements. Our results show that false statements are less complex in terms of vocabulary, are more concise and concrete, and have more positive words and fewer negative words. We found no significant differences between spoken and written lies. Using this data, we built classifiers to automatically distinguish true from false utterances, achieving an accuracy of 60%. Our results provide a significant contribution to previous conclusions regarding linguistic deception indicators.

An empirical study of affective and cognitive functions in Compulsive Sexual Behavior Disorder.

BACKGROUND AND AIMS: Despite the inclusion of the Compulsive Sexual Behavior Disorder (CSBD) in the International Classification of Diseases, very little is known about the underlying affective and cognitive processes. To fill this gap, we compared CSBD subjects and Healthy-Controls (HC) across negative/positive valence, cognitive and sensorimotor systems, as proposed by the Research Domain Criteria framework. METHODS: 74 heterosexual CSBD and 66 matched HC males were studied with 10 questionnaires and 8 behavioral tasks. Analyses were conducted with frequent and Bayesian statistics. RESULTS: CSBD individuals showed significantly higher (than HC) punishment sensitivity, anxiety, depression, compulsivity, and impulsivity symptoms. Frequentist statistical analysis revealed significant interaction between subject group and condition in Incentive Delay Task, concerning the strength of motivation and hedonic value of erotic rewards. Bayesian analysis produced evidence for the absence of group differences in Facial Discrimination Task, Risk-Ambiguity Task, and Learning Task. Also, Bayesian methods provided evidence for group differences in the Emotional Stroop Task and the Incentive Delay Task. Sexual Discounting Task, Attentional Network Task, and Stop Signal Task produced mixed results. CONCLUSIONS: Higher punishment sensitivity and impulsivity among CSBD subjects, along with significant interaction between these groups and erotic vs. non-erotic reward processing is in line with previous findings on negative/positive valence alterations in CSBD patients. This result shows that there are similarities to substance and behavioral addictions. The absence of group differences and mixed results related to cognitive and sensorimotor systems raise concerns to what extent CSBD resembles a wide spectrum of impairments observed in disorders, and demand further research.

Detecting formal thought disorder by deep contextualized word representations.

Computational linguistics has enabled the introduction of objective tools that measure some of the symptoms of schizophrenia, including the coherence of speech associated with formal thought disorder (FTD). Our goal was to investigate whether neural network based utterance embeddings are more accurate in detecting FTD than models based on individual indicators. The present research used a comprehensive Embeddings from Language Models (ELMo) approach to represent interviews with patients suffering from schizophrenia (N=35) and with healthy people (N=35). We compared its results to the approach described by Bedi et al. (2015), referred to here as the coherence model. Evaluations were also performed by a clinician using the Scale for the Assessment of Thought, Language and Communication (TLC). Using all six TLC questions the ELMo obtained an accuracy of 80% in distinguishing patients from healthy people. Previously used coherence models were less accurate at 70%. The classifying clinician was accurate 74% of the time. Our analysis shows that both ELMo and TLC are sensitive to the symptoms of disorganization in patients. In this study methods using text representations from language models were more accurate than those based solely on the assessment of FTD, and can be used as measures of disordered language that complement human clinical ratings.