Behavioral Correlates Research Articles

Community relations discovery methods for users in Fancircle based on sentiment analysis in China

PurposeThe identification of network user relationship in Fancircle contributes to quantifying the violence index of user text, mining the internal correlation of network behaviors among users, which provides necessary data support for the construction of knowledge graph.Design/methodology/approachA correlation identification method based on sentiment analysis (CRDM-SA) is put forward by extracting user semantic information, as well as introducing violent sentiment membership. To be specific, the topic of the implementation of topology mapping in the community can be obtained based on self-built field of violent sentiment dictionary (VSD) by extracting user text information. Afterward, the violence index of the user text is calculated to quantify the fuzzy sentiment representation between the user and the topic. Finally, the multi-granularity violence association rules mining of user text is realized by constructing violence fuzzy concept lattice.FindingsIt is helpful to reveal the internal relationship of online violence under complex network environment. In that case, the sentiment dependence of users can be characterized from a granular perspective.Originality/valueThe membership degree of violent sentiment into user relationship recognition in Fancircle community is introduced, and a text sentiment association recognition method based on VSD is proposed. By calculating the value of violent sentiment in the user text, the annotation of violent sentiment in the topic dimension of the text is achieved, and the partial order relation between fuzzy concepts of violence under the effective confidence threshold is utilized to obtain the association relation.

Self-consciousness mediated the role of the insula in self-disclosure: Evidence from rs-fMRI data

IntroductionSelf-disclosure is integral to forming intimate connections within interpersonal exchanges. While its advantages are widely acknowledged, the cerebral basis of self-disclosure is not thoroughly understood. Insight into its neural underpinnings is crucial for refining therapeutic approaches, especially for challenges associated with self-disclosure. MethodsOur study probed the association between spontaneous neural activity, gauged via resting-state fMRI, and self-disclosure tendencies among 258 healthy university students, employing Regional Homogeneity (ReHo) and behavioral correlation analysis. We also explored the mediating effect of self-consciousness on this relationship. ResultsThe ReHo-behavior correlation analysis uncovered that higher ReHo values in the insula are predictive of greater self-disclosure in social settings. Additionally, the mediation analysis identified self-consciousness as a partial intermediary between spontaneous neural activity in the insula and self-disclosure behaviors. ConclusionThe findings imply that decreased similarity in the insula during rest-state may amplify self-conscious emotions such as embarrassment, thus illuminating the cognitive processes that underlie disclosure behaviors. Critically, these insights have practical ramifications for enhancing therapeutic methods and communication skills by aiding individuals in navigating self-consciousness obstacles, thereby promoting more transparent and efficacious self-disclosure.

Continuous long-range measurement of tonic dopamine with advanced FSCV for pharmacodynamic analysis of levodopa-induced dyskinesia in Parkinson's disease.

Levodopa, a dopamine prodrug, alleviates the motor symptoms of Parkinson's disease (PD), but its chronic use gives rise to levodopa-induced dyskinesia (LID). However, it remains unclear whether levodopa pharmacodynamics is altered during the progressive onset of LID. Using in vivo fast-scan cyclic voltammetry and second-derivative-based background drift removal, we continuously measured tonic dopamine levels using high temporal resolution recording over 1-h. Increases to tonic dopamine levels following acute levodopa administration were slow and marginal within the naïve PD model. However, these levels increased faster and higher in the LID model. Furthermore, we identified a strong positive correlation of dyskinetic behavior with the rate of dopamine increase, but much less with its cumulative level, at each time point. Here, we identified the altered signature of striatal DA dynamics underlying LID in PD using an advanced FSCV technique that demonstrates the long-range dynamics of tonic dopamine following drug administration.

Differential correlates of fear and anxiety in salience perception: A behavioral and ERP study with adolescents

Anxiety disorders are the most common psychopathologies among adolescents. Their diagnostic criteria include both fear and anxiety symptomatology, although according to the literature, we can find evidence for some distinction between these two emotions. The present study contribute to this distinction, exploring the effects of trait fear and trait anxiety on behavioral and neural correlates. Thirty-two participants (aged 11–16 years) performed two experimental tasks of salient target detection, including visual stimuli that were manipulated to become salient, while reaction times and EEG were recorded. Results of both tasks revealed differential effects of trait fear and trait anxiety assessed through the Fear Survey Schedule for Children-Revised and the Youth Anxiety Measure for DSM-5 on reaction times and ERP components amplitudes. Specifically, higher symptoms from Separation Anxiety Disorder increased early neural visual processing and decreased reaction times for more salient stimuli. Also, trait fear reduced later neural visual processing of salient stimuli. These findings may provide a significant contribution to guiding psychological interventions, especially with adolescents presenting higher levels of anxiety-related symptomatology.

Frontal cortical volume deficits as enduring evidence of childhood abuse in community adults with AUD and HIV infection comorbidity

BackgroundChildhood abuse is an underappreciated source of stress, associated with adverse mental and physical health consequences. Childhood abuse has been directly associated with risky behavior thereby increasing the likelihood of alcohol misuse and risk of HIV infection, conditions associated with brain structural and functional deficits. Here, we examined the neural and behavioral correlates of childhood trauma history in alcohol use disorder (AUD), HIV infection (HIV), and their comorbidity (AUD+HIV). MethodsOccurrence of childhood trauma was evaluated by retrospective interview. Cortical (frontal, temporal, parietal, and occipital), subcortical (hippocampus, amygdala), and regional frontal volumes were derived from structural MRI, adjusted for intracranial volume and age. Test scores of executive functioning, attention/working memory, verbal/visual learning, verbal/visual memory, and motor speed functional domains were standardized on age and education of a laboratory control group. ResultsHistory of childhood abuse was associated with smaller frontal lobe volumes regardless of diagnosis. For frontal subregional volumes, history of childhood abuse was selectively associated with smaller orbitofrontal and supplementary motor volumes. In participants with a child abuse history, poorer verbal/visual memory performance was associated with smaller orbitofrontal and frontal middle volumes, whereas in those without childhood abuse, poorer verbal/visual memory performance was associated with smaller orbitofrontal, frontal superior, and supplemental motor volumes. ConclusionsTaken together, these results comport with and extend the findings that childhood abuse is associated with brain and behavioral sequelae in AUD, HIV, and AUD+HIV comorbidity. Further, these findings suggest that sequelae of abuse in childhood may be best conceptualized as a spectrum disorder as significant deficits may be present in those who may not meet criteria for a formal trauma-related diagnosis yet may be suffering enduring stress effects on brain structural and functional health.

The role of secondary phase precipitates in zircaloy corrosion: From point defects to local percolation

A thin oxide film on NZ alloy (Zr-1Sn-0.3Nb-0.3Fe-0.1Cr) was formed to investigate the correlation of microstructure and corrosion behavior at the initial stage by directly identifying defect-enriched sites. The sites of high conductivity are revealed and labelled by silver deposition, and in the further investigation of microstructure secondary phase precipitates (SPPs) interconnected with micro cracks are found below. Enrichment of oxygen-18 and deuterium in SPPs after isotopic tracing by secondary corrosion highlights their influence on carrier diffusion. Thus, the percolation for corrosion media transportation is reached locally by SPPs interconnected with micro cracks.

Physical and geographical correlates of deviant behavior

AIM: To study the potential role of physical environmental factors in the development of deviant behavior in population groups residing in different territories.
 MATERIAL AND METHODS: At the initial phase of the study, we identified the key physical and geographical factors of the environment and assessed the indicators of social and criminal tension in 14 regions of Russia. In total, 1815 male and female students, aged 18–28 years, who were native residents of the selected regions, participated in the field research. During the field stage, the psychological state of the participants was assessed using the Freiburg multifactorial personality questionnaire. This assessment included evaluating character accentuations, suggestibility, frustration, irritability, adventurousness, as well as social activity and destructiveness. Additionally, the participants’ «prosociality-asociality» and type of behavioral activity (A–B) were examined. The subjects’ experience with psychoactive substances was self-reported. Associations between the variables were studied by correlation analysis.
 RESULTS: The average annual temperature was inversely associated with crime rates (p=0.012), number of abortions (p=0.0001), degree of alcoholization (p=0.004), and the proportion of smokers (p=0.011) in the population. Positive correlations were observed between annual temperature, and the level of narcotic substances consumption (p=0.05 and p=0.23 for men and women, respectively), spontaneous aggressiveness (p=0.63 and p=0.024), frustration (p=0.63 and p=0.024), irritability (p=0.068 and p=0.004), asociality (p=0.004 and p=0.247). Lower temperatures were associated with, greater single dose of alcohol (p=0.086 and p=0.033 in men and women, respectively), suggestibility (p=0.189 and p=0.049), emotivity (p=0.21 and p=0.05). The comfort of the environment was inversely associated with suicide rates (p=0.039). In men, comfort was positively associated with consumption of narcotic substances (p=0.05), reactive aggressiveness (p=0.024), irritability (p=0.041), asociality (p=0.011), adventurism (p=0.001), and severity of cardiotype A (p=0.018) while political activity correlated inversely with comfort (p=0.035).
 CONCLUSION: Our findings suggest that physical and geographical factors correlate with social, psychological and behavioral deviations among Russian students.

Neuronal Excitability in the Medial Habenula and Ventral Tegmental Area Is Differentially Modulated by Nicotine Dosage and Menthol in a Sex-Specific Manner.

The medial habenula (MHb) has been identified as the limiting factor for nicotine intake and facilitating nicotine withdrawal. However, few studies have assessed MHb neuronal excitability in response to nicotine, and, currently, a gap in knowledge is present for finding behavioral correlates to neuronal excitability in the region. Moreover, no study to date has evaluated sex or nicotine dosage as factors of excitability in the MHb. Here, we utilized an e-vape self-administration (EVSA) model to determine differences between sexes with different nicotine dosages ± menthol. Following this paradigm, we employed patch-clamp electrophysiology to assess key metrics of MHb neuronal excitability in relation to behavioral endpoints. We observed female mice self-administered significantly more than males, regardless of dosage. We also observed a direct correlation between self-administration behavior and MHb excitability with low-dose nicotine + menthol in males. Conversely, a high dose of nicotine ± menthol yields an inverse correlation between excitability and self-administration behavior in males only. In addition, intrinsic excitability in the ventral tegmental area (VTA) does not track with the amount of nicotine self-administered. Rather, they correlate to the active/inactive discrimination of mice. Using fast-scan cyclic voltammetry, we also observed that dopamine release dynamics are linked to reinforcement-related behavior in males and motivation-related behaviors in females. These results point to a sex-specific difference in the activity of the MHb and VTA leading to distinct differences in self-administration behavior. His could lend evidence to clinical observations of smoking and nicotine-use behavior differing between males and females.

Mining Bodily Cues to Deception

A significant body of research has investigated potential correlates of deception and bodily behavior. The vast majority of these studies consider discrete, subjectively coded bodily movements such as specific hand or head gestures. Such studies fail to consider quantitative aspects of body movement such as the precise movement direction, magnitude and timing. In this paper, we employ an innovative data mining approach to systematically study bodily correlates of deception. We re-analyze motion capture data from a previously published deception study, and experiment with different data coding options. We report how deception detection rates are affected by variables such as body part, the coding of the pose and movement, the length of the observation, and the amount of measurement noise. Our results demonstrate the feasibility of a data mining approach, with detection rates above 65%, significantly outperforming human judgement (52.80%). Owing to the systematic analysis, our analyses allow for an understanding of the importance of various coding factor. Moreover, we can reconcile seemingly discrepant findings in previous research. Our approach highlights the merits of data-driven research to support the validation and development of deception theory.

Correlation of microstructure, mechanical properties and corrosion behavior in a Ni34Co28Cr28Al10 multi-principal element alloy with outstanding corrosion resistance

Microstructure, mechanical properties and corrosion behavior of a Ni34Co28Cr28Al10 multi-principal element alloy (MPEA) were investigated at different states. The as-cast and aged samples exhibited a primary face-cubic centered (FCC) phase and some B2 phase, wherein the FCC phase contained L12 precipitates and the B2 phase contained body-cubic centered (BCC) precipitates. The homogenized sample displayed a single FCC phase. The as-cast sample exhibited the best combination of mechanical properties and corrosion resistance, resulting from multiple strengthening mechanisms, and Al-rich L12 and B2 precipitates which could suppress the transfer of Al atoms to surface leading to increased Cr content in passive film.

Enhancing android malware detection explainability through function call graph APIs

Nowadays, mobile devices are massively used in everyday activities. Thus, they contain sensitive data targeted by threat actors like bank accounts and personal information. Through the years, Machine Learning approaches have been proposed to identify malicious Android applications, but recent research highlights the need for better explanations for model decisions, as existing ones may not be related to the app’s malicious functionalities.This paper proposes an explainable approach based on static analysis to detect Android malware. The novelty lies in the specific analysis conducted to select and extract the features (i.e., APIs taken from the DEX Call Graph) that immediately provide meaningful explanations of the model functionality, thus allowing a significant correlation of the malware behavior with its family. Moreover, since we contain the number and type of features, the distinct impacts of each one appear more evident. The attained results show that it is possible to reach comparable results (in terms of accuracy) to existing state-of-the-art models while providing easy-to-understand explanations, which may yield significant insights into the malicious functionalities of the samples.

Self-Degrading Multifunctional PEG-Based Hydrogels-Tailormade Substrates for Cell Culture.

The use of PEG-based hydrogels as cell culture matrix to mimic the natural extracellular matrix (ECM) has been realized using a range of well-defined, tunable, and dynamic scaffolds, although they require cell adhesion ligands such as RGDS-peptide (Arg-Gly-Asp-Ser) to promote cell adhesion. Herein the synthesis of ionic and degradable hydrogels is demonstrated for cell culture by crosslinking [PEG-SH]4 with the zwitterionic crosslinker N,N-bis(acryloxyethyl)-N-methyl-N-(3-sulfopropyl) ammonium betaine (BMSAB) and the cationic crosslinker N,N-bis(acryloxyethyl)-N,N-dimethyl-1-ammonium iodide (BDMAI). Depending on the amount of ionic crosslinker used in gel formation, the hydrogels show tunable gelation time and stiffness. At the same time, the ionic groups act as catalysts for hydrolytic degradation, thereby allowing to define a stability window. The latter could be tailored in a straightforward manner by introducing the non-degradable crosslinker tri(ethylene glycol) divinyl ether. In addition, both ionic crosslinkers favor cell attachment in comparison to the pristine PEG hydrogels. The degradation is examined by swelling behavior, rheology, and fluorescence correlation spectroscopy indicating degradation kinetics depending on diffusion of incorporated fluorescent molecules.

Functional neuroimaging and behavioral correlates of multisite tDCS as an add-on to language training in a person with post-stroke non-fluent aphasia: a year-long case study

ABSTRACT Mary, who experienced non-fluent aphasia as a result of an ischemic stroke, received 10 years of personalized language training (LT), resulting in transient enhancements in speech and comprehension. To enhance these effects, multisite transcranial Direct Current Stimulation (tDCS) was added to her LT regimen for 15 sessions. Assessment using the Reliable Change Index showed that this combination improved her left inferior frontal connectivity and speech production for two months and significantly improved comprehension after one month. The results indicate that using multisite transcranial direct current stimulation (tDCS) can improve the effectiveness of language therapy (LT) for individuals with non-fluent aphasia.

Consistent spectro-spatial features of human ECoG successfully decode naturalistic behavioral states.

Understanding the neural correlates of naturalistic behavior is critical for extending and confirming the results obtained from trial-based experiments and designing generalizable brain-computer interfaces that can operate outside laboratory environments. In this study, we aimed to pinpoint consistent spectro-spatial features of neural activity in humans that can discriminate between naturalistic behavioral states. We analyzed data from five participants using electrocorticography (ECoG) with broad spatial coverage. Spontaneous and naturalistic behaviors such as "Talking" and "Watching TV" were labeled from manually annotated videos. Linear discriminant analysis (LDA) was used to classify the two behavioral states. The parameters learned from the LDA were then used to determine whether the neural signatures driving classification performance are consistent across the participants. Spectro-spatial feature values were consistently discriminative between the two labeled behavioral states across participants. Mainly, θ, α, and low and high γ in the postcentral gyrus, precentral gyrus, and temporal lobe showed significant classification performance and feature consistency across participants. Subject-specific performance exceeded 70%. Combining neural activity from multiple cortical regions generally does not improve decoding performance, suggesting that information regarding the behavioral state is non-additive as a function of the cortical region. To the best of our knowledge, this is the first attempt to identify specific spectro-spatial neural correlates that consistently decode naturalistic and active behavioral states. The aim of this work is to serve as an initial starting point for developing brain-computer interfaces that can be generalized in a realistic setting and to further our understanding of the neural correlates of naturalistic behavior in humans.

Correlation of the caring behaviour of nurses with the motivation of patients undergoing haemodialysis

Background/Aim: There is a need to establish a satisfactory level of performance for nurses working in haemodialysis units, which will provide qualified competent nurses who will take care of patients. Thus, the purpose of this study was to analyze the caring behaviour of haemodialysis nurses with the motivation of patients undergoing haemodialysis. Methods: The research design was a descriptive correlation approach. The subjects of this study were patients who were undergoing therapy in the haemodialysis room. Researchers collected data for 1 month in September 2023. The relationship between nurses' caring behaviour and haemodialysis patient motivation was determined by conducting a Spearman rank correlation analysis. Results: Out of 118 patients, 48.7 % of patients thought nurses had poor caring behaviour. The research results also showed that patient motivation in undergoing haemodialysis was in the low motivation category (47.8 %). There was a significant relationship between nurses' caring behaviour and patient motivation in undergoing haemodialysis therapy (p = 0.0001). Based on the correlation coefficient value (r = 0.632), the two variables had a strong relationship. Conclusion: Nurses' caring behaviour can increase patient motivation in undergoing haemodialysis therapy. Nurses' caring behaviour still needs to be optimised because the interaction between nurses and patients in the treatment process provides support to patients.

Social Cognitive Theory Variables as Correlates of Physical Activity Behavior Among Hispanics With Multiple Sclerosis

ObjectiveTo examine the association between social cognitive theory (SCT) variables and physical activity (PA) behavior in Hispanic adults with multiple sclerosis (MS). DesignObservational, survey study. SettingGeneral community. ParticipantsInclusion criteria: (a) age 18 years or older, (b) self-identify as Hispanic or Latino, (c) diagnosis of MS, and (d) English or Spanish as primary language. Two hundred forty-three individuals opened the survey, 24 individuals did not meet inclusion criteria, and 66 individuals were excluded due to not completing any of the SCT variable measures (N=153). InterventionsNot applicable. Main Outcome Measure(s)PA was measured using the Godin Leisure Time Exercise Questionnaire (GLTEQ) total and Health Contribution Scores (HCS). SCT variables included standard measures of exercise self-efficacy, planning, goal setting, outcome expectations, social support, and functional impairment. ResultsThe final sample included 153 participants with a mean (SD) age of 43 (11) years, 78% identified as women, 57% were employed, and 63% had a college degree or higher. The mean (SD) MS disease duration was 11 (9) years, 74% of participants reported relapsing remitting MS, and median (interquartile range) Patient Determined Disease Steps (PDDS) score was 3.0 (3.0). Significant correlations were observed between all SCT variables and both GLTEQ total and GLTEQ HCS scores (P<.001). Forward stepwise regression with Akaike's Information Criterion (AICC) identified PDDS, age, exercise planning, exercise self-efficacy, and exercise goal setting as the most appropriate covariates and SCT variables to include in a multivariable model examining independent contributions on GLTEQ HCS scores. The multivariable, linear regression analysis indicated that PDDS (Standardized B=-.280, P<.001), exercise planning (Standardized B=.214, P<.05), and exercise self-efficacy (Standardized B=.183, P<.05) explained 42.4% of variance in GLTEQ HCS scores. ConclusionsThis study provides a contribution to the literature by identifying SCT variables that correlate with PA behavior among Hispanics with MS that may guide the creation of culturally appropriate PA programs.

Behavioral and neuroanatomical correlates of facial emotion processing in post-stroke depression

BackgroundEmotion processing deficits are known to accompany depressive symptoms and are often seen in stroke patients. Little is known about the influence of post-stroke depressive (PSD) symptoms and specific brain lesions on altered emotion processing abilities and how these phenomena develop over time. This potential relationship may impact post-stroke rehabilitation of neurological and psychosocial function. To address this scientific gap, we investigated the relationship between PSD symptoms and emotion processing abilities in a longitudinal study design from the first days post-stroke into the early chronic phase. MethodsTwenty-six ischemic stroke patients performed an emotion processing task on videos with emotional faces ('happy,' 'sad,' 'anger,' 'fear,' and 'neutral') at different intensity levels (20%, 40%, 60%, 80%, 100%). Recognition accuracies and response times were measured, as well as scores of depressive symptoms (Montgomery-Åsberg Depression Rating Scale). Twenty-eight healthy participants matched in age and sex were included as a control group. Whole-brain support-vector regression lesion-symptom mapping (SVR-LSM) analyses were performed to investigate whether specific lesion locations were associated with the recognition accuracy of specific emotion categories. ResultsStroke patients performed worse in overall recognition accuracy compared to controls, specifically in the recognition of happy, sad, and fearful faces. Notably, more depressed stroke patients showed an increased processing towards specific negative emotions, as they responded significantly faster to angry faces and recognized sad faces of low intensities significantly more accurately. These effects obtained for the first days after stroke partly persisted to follow-up assessment several months later. SVR-LSM analyses revealed that inferior and middle frontal regions (IFG/MFG) and insula and putamen were associated with emotion-recognition deficits in stroke. Specifically, recognizing happy facial expressions was influenced by lesions affecting the anterior insula, putamen, IFG, MFG, orbitofrontal cortex, and rolandic operculum. Lesions in the posterior insula, rolandic operculum, and MFG were also related to reduced recognition accuracy of fearful facial expressions, whereas recognition deficits of sad faces were associated with frontal pole, IFG, and MFG damage. ConclusionPSD symptoms facilitate processing negative emotional stimuli, specifically angry and sad facial expressions. The recognition accuracy of different emotional categories was linked to brain lesions in emotion-related processing circuits, including insula, basal ganglia, IFG, and MFG. In summary, our study provides support for psychosocial and neural factors underlying emotional processing after stroke, contributing to the pathophysiology of PSD.

I like it because it hurts you: On the association of everyday sadism, sadistic pleasure, and victim blaming.

Past research on determinants of victim blaming mainly concentrated on individuals' just-world beliefs as motivational process underlying this harsh reaction to others' suffering. The present work provides novel insights regarding underlying affective processes by showing how individuals prone to derive pleasure from others' suffering-individuals high in everyday sadism-engage in victim blaming due to increased sadistic pleasure and reduced empathic concern they experience. Results of three cross-sectional studies and one ambulatory assessment study applying online experience sampling method (ESM; overall N = 2,653) document this association. Importantly, the relation emerged over and above the honesty-humility, emotionality, extraversion, agreeableness, conscientiousness, and openness personality model (Study 1a), and other so-called dark traits (Study 1b), across different cultural backgrounds (Study 1c), and also when sampling from a population of individuals frequently confronted with victim-perpetrator constellations: police officers (Study 1d). Studies 2 and 3 highlight a significant behavioral correlate of victim blaming. Everyday sadism is related to reduced willingness to engage in effortful cognitive activity as individuals high (vs. low) in everyday sadism recall less information regarding victim-perpetrator constellations of sexual assault. Results obtained in the ESM study (Study 4) indicate that the relation of everyday sadism, sadistic pleasure, and victim blaming holds in everyday life and is not significantly moderated by interpersonal closeness to the blamed victim or impactfulness of the incident. Overall, the present article extends our understanding of what determines innocent victims' derogation and highlights emotional mechanisms, societal relevance, and generalizability of the observed associations beyond the laboratory. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Design and Timeliness Analysis of English Teaching Models in Colleges and Universities Combining Perceptual and Behavioral Correlation Algorithms

Abstract With the continuous development of education, the way English education presents itself has become more and more complex and diversified. This study focuses on the problem of low quality and efficiency in English teaching, and it centers on the characteristics of perception and behavior in English teaching. To collect data on perception and behavior in English teaching, we first utilize the association rule method in data mining technology. Then, we introduce the technology acceptance model and design the English teaching model of “Knowing and Doing” by combining the collected data. The timeliness of the English teaching model in practice is investigated using the fuzzy comprehensive evaluation method on this basis. The English teaching model designed in this paper improved by 10.688 points compared to the previous one, and the improvement was 1.307 points in the third month. In the correlation rule analysis, it can be seen that the probability of English grade A (90 or above) is 70.4% when perceived ease of use, usefulness, and learning behavior occur simultaneously. This study proves the feasibility of the English teaching model in this paper and provides a useful reference for the development of the English teaching model in the future.

Hypnotizability-related risky experience and behavior

Risk is the probability of an adverse event. The proneness to take a risk and the risk taking behavior differ among the general population.Hypnotizability is a stable psychophysiological trait expressing the individual proneness to modify perception, memory and behavior following specific suggestions also in the ordinary state of consciousness. Some hypnotizability-related neurophysiological and behavioral correlates suggest that hypnotizability level, measured by standard scales classifying individuals as low (lows), medium (mediums) and high hypnotizable (highs) subjects, can be related to risk propensity and risk-taking. To study whether hypnotizability modulates risk propensity and behavior, we recruited healthy participants, classified through the Standford Hypnotic Susceptibility scale, form A, and compared lows’ (n = 33), mediums’ (n = 19) and highs’(n = 15) experiential and behavioral risk perception and propensity variables through the Domain-specific risk-taking scale and the Balloon Analogue Risk Task. MANOVA results indicated that different hypnotizability levels are not associated with different risky behavior and experience, except for higher expected financial benefits from risky behavior in lows. However, hypnotizability-related risk profiles were identified through correlational analyses. In fact, highs exhibited a negative association between risk perception and propensity to risk-taking, whereas mediums and lows displayed a positive association between risk propensity and expected benefit. In conclusion, the highs’ profile indicates a more automatic behavior with respect to mediums and lows.