Skip to main content

ORIGINAL RESEARCH article

Front. Psychol., 25 May 2021
Sec. Psychopathology
This article is part of the Research Topic Biopsychosocial Protective Factors Related to Antisocial Behaviors View all 6 articles

Emotional Assessment in Spanish Youths With Antisocial Behavior

  • 1Department of Psychology, Center for Health Research, University of Almería, Almería, Spain
  • 2Department of Personality, Evaluation and Psychological Treatment, University of Granada, Granada, Spain

Impaired emotional capacity in antisocial populations is a well-known reality. Taking the dimensional approach to the study of emotion, emotions are perceived as a disposition to action; they emerge from arousal of the appetitive or aversive system, and result in subjective, behavioral, and physiological responses that are modulated by the dimensions of valence, arousal, and dominance. This study uses the International Affective Picture System (IAPS) to study the interaction between the type of picture presented (pleasant, neutral, or unpleasant) and group (adolescents under custody in juvenile justice centers, adolescents under non-custodial measures, and secondary school students) in the emotional assessment of these dimensions. The interaction between the study variables was statistically significant. Statistically significant differences were found between the three types of pictures presented, in the ratings of unpleasant pictures between the custody group and the group of secondary students in regular schooling in valence, and in the ratings of unpleasant, neutral, and pleasant pictures in arousal, between the custody group and all groups. Discriminant analyses of each affective dimension indicate that the unpleasant pictures with violent and/or aggressive content tend to be in the functions that most differentiate the antisocial groups.

Introduction

Scientific evidence agrees in pointing to impaired emotional capacities as a fundamental characteristic of habitual offenders or people who tend toward antisocial behavior (e.g., Farrington, 1989; Muñoz-García et al., 2003; Garaigordobil et al., 2004; Alcázar-Córcoles et al., 2010). Emotional processing, in turn, is related to higher cognitive capacities or hot executive functions. In this way, executive functions (EF) have an important role in development and may therefore be relevant in the appearance of frequent risk behaviors in adolescence, such as antisocial behavior, and more specifically, behaviors relating to violation of criminal law (Gil-Fenoy et al., 2018). EFs have been related mainly to the exercise of different cognitive processes, however, they are also involved in certain emotional responses, behaviors, and expressions. The executive processes and cortical networks associated with EF functioning suggest the existence of two differentiated circuits: the executive control circuit (dorso-lateral), involved in cold, more cognitive EFs, and the socio-emotional circuit (orbito-frontal and ventro-medial), involved in hot processes related to behavioral and emotional control (Zelazo et al., 2004; Zelazo, 2020). Incorporating this assumption, Steinberg (2008) proposes a risk-taking model in adolescent development that is characterized by a dual system, greater risk-taking in adolescence can be understood in terms of asynchronous changes in the maturation of a “cognitive control” system responsible for self-regulation processes and a socio-emotional system of “incentive processing,” responsible for processes related to reward, emotion, and social cognition. More specifically, Botdorf et al. (2017) suggested that individual differences in cognitive control can predict risk taking, but only when control is assessed in conditions of greater affective arousal, indicating that researchers who work with cognitive control in the laboratory must use tasks that evoke an affective state in order to adequately explain risk decision making in adolescence.

Consequently, alteration or dysfunction in the hot network, which is more sensitive to social and emotional stimuli, can cause emotional, interpersonal, or social problems such as high reactivity, self-regulation problems, affective lability, problems in processing and awareness of emotions, and problems in behavior-directed control of emotions. In fact, it has been noted that adolescents with better EFs process emotional information better, leading them to more flexible adaptation to their environment and less risk of psychopathology (Morea and Calvete, 2020). In this way, impaired emotional processing (lack of empathy, emotional lability, difficulty recognizing emotions, etc.) is characteristic of habitual offenders or subjects who tend toward antisocial behavior and psychopathy (e.g., Muñoz, 2004; Moreno et al., 2009; Halty-Barrutieta and Prieto-Ursúa, 2015; Pincham et al., 2015).

The assessment of emotions, therefore, takes on a special role in this context, and the use of a dimensional approach to emotion, such as Lang's biphasic model, can offer an adequate evaluative framework. Lang (1995) defines emotions as action dispositions that facilitate adaptation to the environment and are triggered by significant stimuli. He describes affective space from two dimensions: affective valence and arousal, although other authors have noted a third dimension of dominance, closely correlated to valence (Osgood et al., 1957). According to Lang's theory, emotions arise from the arousal of one of two motivational systems, the appetitive or the aversive, according to the valence dimension of the stimulus (Lang, 2010). Emotions regulate the somatic and autonomic responses (LeDoux, 2000; Davis and Lang, 2003), producing cortical, autonomic, and behavioral changes that vary in their intensity in the arousal dimension (Cacioppo and Berntson, 1994). A majority of studies, in all populations, tend to present a boomerang effect in the two-dimensional emotional space defined by these two dimensions, in other words, very pleasant and very unpleasant stimuli tend to produce much arousal, while stimuli with neutral valence are related to less arousal (Moltó et al., 1999, 2013; Bradley and Lang, 2000, 2007; Vila et al., 2001).

The International Affective Picture System (IAPS) was developed from this theoretical foundation. The instrument has proven to be reliable and stable, since pictures with similar content occupy close positions in the two-dimensional space (Patrick and Lavoro, 1997), and various physiological responses have been related both to assessed valence (startle reflex, heart rate, and electromyographic activity) and to arousal (electrical conductance of the skin). Thus, the IAPS has become one of the most widely used standardized instruments in experimental research for emotional assessment with pictures (Moltó et al., 2013). In Spain, different adaptation studies for the adult population have been carried out (Moltó et al., 1999, 2013; Vila et al., 2001), and the IAPS has been used to study how different emotional stimuli influence other cognitive processes such as memory (Fernández-Rey and Redondo, 2007; Gordillo-León et al., 2010), learning (López et al., 2009; Redondo and Méndez, 2011), and attention (García and Calvo, 2010), as well as its use in the field of addictions (Aguilar et al., 2008, 2011), distress (Zangróniz et al., 2017), and eating and weight disorders (Miccoli et al., 2014, 2018).

Regarding use of the IAPS with antisocial samples, certain studies in an adult population have focused on the alteration of certain physiological responses (Serafim et al., 2009). Studies focusing on emotional assessment of the pictures are less frequent. Pastor et al. (2003) worked in this line with adult psychopaths, not finding statistically significant differences in emotional assessments of the affective dimensions. They interpreted this fact as an emotional deficit that is covered by expressive–evaluative language appropriate to the emotions, typical of psychopathy.

However, the adult psychopath population presents characteristics that differ from the adolescent antisocial population. Previous studies have demonstrated that antisocial youths with callous and unemotional traits (CU) are impaired in processing negative or even positive emotional stimuli (Truedsson et al., 2019), and there is much evidence to support a link between emotion processing and antisocial behavior that appears before adulthood (Pincham et al., 2015). This study seeks to compile evidence along this line from a dimensional approach to emotion.

The main aim of the present study, therefore, is to examine the emotional assessment of Spanish youths with sanctionable antisocial behavior, using the set of IAPS pictures corresponding to their age range, and to analyze the influence of the interaction of two variables: the type of picture/emotional stimulus presented (pleasant, neutral, and unpleasant) and group membership (subjects under custodial or non-custodial sanctions or in normal schooling). In addition, like a second objective, we expect to obtain validity evidences for the use of IAPS in Spanish adolescents.

Materials and Methods

Participants

The sample was composed of 160 youths divided into three groups according to the degree of antisocial behavior they presented: two antisocial groups, one with youths in custody with judicial sanctions (n = 59; 66.1% male) and other, youths subject to non-custodial measures with judicial sanctions (n = 40; 72% male), and a comparison group of secondary students in normal schooling (n = 61; 68.9% male). All groups were from Andalusia (Spain), with ages between 14 and 21 years, with an average age of 16.68 (SD = 1.54), and 68.8% of the sample being male. The sample was selected by intentional sampling, with all participants being volunteers. It was controlled that there were neither statistically significant differences in average age (Fwelch = 1,708, p = 0.18), nor in the percentage of men within each group (χ2 = 0.320; p = 0.88).

Instruments

In order to measure the adolescents' emotional assessment, we used a set of 58 pictures (descripts in Table 4), targeted for children and adolescents, from the IAPS—International Affective Picture System (Lang et al., 2008). This instrument was designed to be a set of standardized stimuli, differentiated in their affective dimensions, which would situate the subject in a specific affective space. A response notebook containing 58 manikins of the Self-Assessment Manikin Scale (SAM; Bradley and Lang, 1994) was used to measure the adolescents' emotional assessments by the three dimensions of valence, arousal, and dominance prompted by each picture. The notebook was 10 pages long, with six manikins per page (four on the last page), each manikin preceded by the number of the picture to be assessed. For each of the affective dimensions, SAM has a scale of five human pictograms that are ordered according to the intensity of the dimension. For each picture, participants were to indicate one of the pictograms, or one of the spaces between them, for each dimension (row); in this way they assigned the level of valence, arousal, and dominance that they felt with each picture. Scoring for the pictograms ranges from 1 (least pleasing, least arousal, and least control) to 9 (most pleasing, most arousal, and most control). The three SAM dimensions served as dependent measures.

Procedure

Permission was first obtained from the competent authorities in juvenile justice and education systems in Andalusia (Spain). The study objectives were presented to the official authorities and to the school principals, and to the parents/guardians of the adolescents. Whenever the youths were underage, parental authorization was obtained. The assessment session was carried out on an individual basis, in all cases meeting the requirements of legislation on personal data. The study was approved by the University Bioethics Commission of Research with Humans, University of Almeria (ref. 170214). The participation of all the young people in the study was voluntary.

A PowerPoint presentation was used to present the pictures on a laptop computer. The location of the assessment session in each study group was chosen for maximum adequacy within the possibilities of each institution. Location requirements were as follows: silence, adequate lighting for distinguishing the pictures, and a comfortable desk and chair for working.

Before beginning the assessment of the 58 pictures, the adolescents were instructed in how to use the SAM template, and three pictures were presented as practice: one pleasant, one neutral, and one unpleasant. After checking that the adolescents had properly understood how to respond and rate the pictures, we proceeded to present the 58 pictures for assessment. Prior to seeing each picture, the participants were first presented with a preparation slide (“Get ready to rate the next slide”) that was presented for 5 s. Then, the picture to be rated was presented for 6 s, after the picture left the screen, the subject indicated their ratings of pleasure, arousal, and dominance using SAM. Three to four different picture orders were used, which balanced the position of a particular exemplar within the entire series of pictures.

Data Analyses

A mixed factorial ANOVA 3 × 3 (group × picture) was conducted to analyze the existence of statistically significant differences in the affective dimensions (valence, arousal, and dominance) according to the variables group (in custody, under non-custodial measures, and secondary students) and type of picture (pleasant, unpleasant, and neutral).

The statistical significance was set at p < 0.05, being the effect sizes estimates for the significant effects reported by ηp2 for the MANOVA and ANOVA results and non-standardized means differences for post-hoc pairwise comparisons. When statistically significant interaction effects emerged, the simple-effects analysis procedure was performed by post-hoc pairwise comparisons, between and within groups, using Bonferroni corrected t-tests. The assumptions of the ANOVA models and t-tests were assessing previously on each set of data, when some non-compliance occurred, it is reported in the results, indicating the alternative test used in such cases.

In addition, a discriminant analysis was carried out for each of the affective dimensions (valence, arousal, and dominance), using group for the grouping variable (in custody, non-custodial measures, and secondary students).

All the statistical analyses were performed using IBM's SPSS Statistics 26 program (IBM Corporation, 2019).

Results

The assumptions analysis for the mixed 3 × 3 (group × picture) ANOVA showed the non-compliance of sphericity for the three dimensions, assessed by Mauchly's test. Therefore, the multivariate tests were used to estimate the effects. The results indicated a statistically significant effect of the group × picture interaction {ΛWilks = 0.79, [F(12, 304) = 3.13], p < 0.001, ηp2 = 0.11}, indicating significant differences in the three dimensions of emotion taken together across types of pictures, because of the specific group. To specify this interaction effect, simple-effects analysis was executed for the three dimensions separately. Table 1 shows the results of the pairwise comparisons between type of picture within each group, reflecting statistically significant mean differences in practically all comparisons in the three affective dimensions. The pleasant pictures received the highest scores in the dimensions of valence and dominance, followed by the neutral pictures, and finally the unpleasant ones. In the arousal dimension, scores were ordered inversely, that is, the unpleasant pictures obtained a higher score and the pleasant pictures had lower scores.

TABLE 1
www.frontiersin.org

Table 1. Post-hoc pairwise comparison according to type of picture.

On the other hand, the between-groups comparisons of each group in the picture types showed statistically significant differences only in the dimensions of valence and arousal. Specifically, in the valence dimension, we observed statistically significant differences only in the unpleasant pictures between the custody and comparison group, showing that the custody group presented higher scores, that is, they perceived these pictures as more pleasant than the comparison group. With respect to the arousal dimension, the results indicated statistically significant differences between the custody group and the other two groups in the three types of pictures. Concretely, the custody group presented higher scores, that is, more activation, than the comparison group and non-custodial group for the pleasant and neutral pictures, but showed an inverse patron of differences for the unpleasant pictures, in which the custody group showed fewer scores that the other two groups, indicating less activation to unpleasant stimuli. These results are shown in Table 2.

TABLE 2
www.frontiersin.org

Table 2. Post-hoc pairwise comparisons according to group.

Regarding the discriminant analysis for each of the affective dimensions, results indicated the existence of two functions in each dimension: for valence, function 1 (F1) accounts for 70.8% of the variance (canonical R2 = 0.64) and function 2 (F2) accounts for 29.2% (canonical R2 = 0.42); in arousal, F1 accounts for 67.6% of the variance (canonical R2 = 0.60) and F2 for 32.4% (canonical R2= 0.42); and in dominance, F1 covers 63.7% of the variance (canonical R2 = 0.60) and F2, 36.3% (canonical R2 = 0.46). Moreover, Wilks' lambda indicates that the interaction between the two functions differentiates between the study groups in all dimensions: valence ΛWilks = 0.20, χ2 (116) = 203.86, p < 0.001; arousal ΛWilks = 0.22, χ2 (116) = 185.06, p <0.001; dominance ΛWilks = 0.21, χ2 (116) = 200.62, p < 0.001. Table 3 presents the centroids of functions 1 and 2 for each group and in each of the affective dimensions. Table 4 shows the F1 structure for each affective dimension.

TABLE 3
www.frontiersin.org

Table 3. Functions with group centroids.

TABLE 4
www.frontiersin.org

Table 4. Structure of function 1 for each dimension.

Given that the ANOVA results showed statistically significant differences mainly in the unpleasant pictures, we focus our analysis on these. For ease of location, Table 4 shows these pictures and their data in bold type. As we can see, the unpleasant pictures whose content is violent and/or aggressive (3500, 3530, 6230, 6300, and 6370) are the only pictures that load on F1 in all the affective dimensions. This function is associated with a greater proportion of variance and is the function that most differentiates between the comparison group and the antisocial groups as seen in Figures 13.

FIGURE 1
www.frontiersin.org

Figure 1. Canonical discriminant functions for the dimension of valence.

FIGURE 2
www.frontiersin.org

Figure 2. Canonical discriminant functions for the dimension of arousal.

FIGURE 3
www.frontiersin.org

Figure 3. Canonical discriminant functions for the dimension of dominance.

Discussion

We highlight the following aspects based on the results obtained from analyzing the influence of picture type and group on the emotional assessments of the set of pictures.

First, the statistically significant differences found according to picture type provide evidence of the discriminate validity and adequacy of the IAPS set of pictures for a Spanish population in this age range, in line with scores in US rankings. Statistically significant differences were found in all dimensions and between all the study groups; hence, regardless of the characteristics relating to antisocial behavior in part of the sample, the stimuli fulfill their function of differentiating the processing of pleasant, neutral, and unpleasant emotions. Despite these results, the Spanish adaptation of this picture set continues to be necessary, due to its practical utility in research and emotional assessment. In any case, and in the line of Botdorf et al. (2017), evidence supports the use of this instrument by researchers who study cognitive control in the laboratory, where it can evoke an affective state to adequately explain risk decisions in adolescence.

As for the statistically significant differences found between groups, results indicate that these occur primarily between the group of secondary school students and the group of adolescents under custodial sanctions. Specifically, statistically significant differences were found in valence dimension in the assessment of unpleasant pictures, indicating that the custody group perceived this type of picture higher in pleasantness. In this case, the group with the least severity of antisocial behavior (non-custodial) is equated with the comparison group. Serafim et al. (2009), who assessed heart rate in a group of antisocial adult psychopaths, a group of non-psychopathic adults with an antisocial career, and a comparison group of adults, found differences in this variable when subjects observed different emotionally charged IAPS pictures. Their results indicated that the group of psychopaths showed scarcely any variation in heart rate under the different stimuli, while the comparison group showed the greatest variation, and the antisocial, non-psychopath group fell somewhere in the middle. These results suggest that heart rate, a physiological response that is related to the valence dimension (Bradley and Lang, 2007), could be different between the antisocial groups (psychopaths or not) and the comparison group, in response to different emotional stimuli, in agreement with our own results. Therefore, these data once again point to the existence of a deficit or impairment in the emotional processing capacity of antisocial populations, mainly affecting stimuli with a negative valence. This fact could have implications in the study and comprehension of other cognitive processes and functions, since a variety of evidence points to the influence of unpleasant stimuli on capacities of long-term memory (Fernández-Rey and Redondo, 2007) or recognition memory (Gordillo-León et al., 2010) or specifically in children and adolescents with antisocial behavior, who show reduced startle reflex to aversive pictures (Fairchild et al., 2010), moreover, the magnitude of the startle and skin conductance responses evoked by the emotional stimuli was inversely related to the severity of the antisocial behavior (Syngelaki et al., 2013). Statistically significant differences were found in arousal dimension in the assessment of unpleasant pictures, indicating that the custody group perceived this type of picture with more arousal higher in pleasantness.

In addition, differences are found in the arousal dimension in the evaluation of all images, indicating, that the custody group has greater activation than the non-custody and student groups, in the perception of pleasant and neutral images. This result indicates the impulsivity component associated with young people with antisocial behavior (Rockstroh and McTeague, 2019; Toro et al., 2020) which is consistent with a recent study finding an association between higher ratings of arousal to positive images and attention deficit hyperactivity disorder symptoms in youth (Truedsson et al., 2019). Furthermore, the results showed that custody sample were associated with lower ratings of arousal to unpleasant images, and concurrently in line with previous finding with CU in youth samples (Truedsson et al., 2019; Szabó et al., 2020).

On the other hand, the results obtained in the discriminant analyses of the three affective dimensions support the differences found between the groups according to picture type presented. These analyses indicate, in each dimension, that there are two main functions, however, greater between-group variance is always associated with the first function. These first functions draw together the unpleasant pictures with violent and/or aggressive content (gun, knife, masked man, mugging, or robberies on trains and subways), in every dimension. The custody group is furthest from the group of students in normal schooling, also in all three dimensions, and the group of antisocial adolescents under non-custodial judicial measures falls in the middle. Moreover, given that adolescents show greater sensitivity to motivational and socio-emotional information, they are potentially more vulnerable than older youths and adults to bad decision making in these situations (Cohen-Gilbert and Thomas, 2013). For these reasons, future research and programs designed to curb risk decisions may benefit from focusing on ways to improve adolescent cognitive control, specifically in negatively charged situations in antisocial contexts (Botdorf et al., 2017). The executive processes and cortical networks associated with EF functioning suggest the existence of two differentiated circuits: the executive control circuit (dorso-lateral), involved in cold, more cognitive EFs, and the socio-emotional circuit (orbito-frontal and ventro-medial), involved in hot processes related to behavioral and emotional control (Zelazo et al., 2004; Zelazo, 2020). EFs play an important role in socio-emotional circuit involved in hot processes, so we join Zelazo (2020) in underscoring the importance of working on EF development as a protective factor against possible difficulties in emotional development, especially in the stage of adolescence.

Finally, some limitations of the study should be pointed out: in particular, a larger sample would be needed to continue providing evidence of the validity of the IAPS in Spanish adolescents with antisocial behavior and in normalized groups. In addition, no alternative measure of the emotional state of adolescents or even psychophysiological measures have been considered.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics Statement

The studies involving human participants were reviewed and approved by the University Bioethics Commission of Research with Humans, University of Almeria (ref. 170214). Written informed consent to participate in this study was provided by the participants' legal guardian/next of kin.

Author Contributions

All authors contributed in all the phases of the research and the elaboration of the article. The authors have read and agreed to the published version of the manuscript.

Funding

This study was carried out in part within the framework of a project sponsored by the Andalusia's Department of Economic Transformation, Industry, Knowledge and Universities, and with contributions from the European Union FEDER funds. Ref. P18-RT-1469.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We would like to thank the participation of the young people from the juvenile centers and schools.

References

Aguilar, F., Montañez, M., Gómez, E., Arráez, F., and Pérez, M. (2011). Influencia del contenido emocional en la percepción de estímulos visuales en sujetos drogodependientes [Emotional influence on the perception of visual stimuli in drug abuse patients]. Trastor. Adict. 13, 57–63. doi: 10.1016/S1575-0973(11)70012-5

CrossRef Full Text | Google Scholar

Aguilar, F., Verdejo, A., López, A., Montañez, M., Gómez, E., Arráez, F., et al. (2008). Cambios en la respuesta emocional ante estímulos visuales de contenido sexual en adictos a drogas [Changes in emotional response to visual stimuli with sexual content in drug abusers]. Adicciones 20, 117–124. doi: 10.20882/adicciones.275

CrossRef Full Text | Google Scholar

Alcázar-Córcoles, M. A., Verdejo-García, A., Bouso-Saiz, J. C., and Bezos-Saldaña, L. (2010). Neuropsicología de la agresión impulsiva [Neuropsychology of impulsive aggression]. Rev. Neurol. 50, 291–299. doi: 10.33588/rn.5005.2009316

CrossRef Full Text | Google Scholar

Botdorf, M., Rosenbaum, G. M., Patrianakos, J., Steinberg, L., and Chein, J. M. (2017). Adolescent risk-taking is predicted by individual differences in cognitive control over emotional, but not non-emotional, response conflict. Cogn. Emot. 31, 972–979. doi: 10.1080/02699931.2016.1168285

PubMed Abstract | CrossRef Full Text | Google Scholar

Bradley, M. M., and Lang, P. J. (1994). Measuring emotion: the self-assessment manikin and the semantic differential. J. Behav. Ther. Exp. Psychiatry 25, 49–59. doi: 10.1016/0005-7916(94)90063-9

PubMed Abstract | CrossRef Full Text | Google Scholar

Bradley, M. M., and Lang, P. J. (2000). “Measuring emotion: behavior, feeling, and physiology” in Cognitive Neuroscience of Emotion, eds R. Lane and L. Nadel (New York, NY: Oxford University Press), 242–276.

Google Scholar

Bradley, M. M., and Lang, P. J. (2007). “The International Affective Picture System (IAPS) in the study of emotion and attention” in Handbook of Emotion Elicitation and Assessment, eds J. A. Coan and J. J. B. Allen (New York, NY: Cambridge University Press), 29–46.

Google Scholar

Cacioppo, J. T., and Berntson, G. G. (1994). Relationships between attitudes and evaluative space: a critical review with emphasis on the separability of positive and negative substrates. Psychol. Bull. 115, 401–423. doi: 10.1037/0033-2909.115.3.401

CrossRef Full Text | Google Scholar

Cohen-Gilbert, J. E., and Thomas, K. M. (2013). Inhibitory control during emotional distraction across adolescence and early adulthood. Child Dev. 84, 1954–1966. doi: 10.1111/cdev.12085

PubMed Abstract | CrossRef Full Text | Google Scholar

Davis, M., and Lang, P. J. (2003). “Emotion” in Handbook of Psychology, Vol. 3: Biological Psychology, eds M. Gallagher and R. J. Nelson (New York, NY: Wiley), 405–439.

Google Scholar

Fairchild, G., Stobbe, Y., Van Goozen, S. H., Calder, A. J., and Goodyer, I. M. (2010). Facial expression recognition, fear conditioning, and startle modulation in female subjects with conduct disorder. Biol. Psychiatry 68, 272–279. doi: 10.1016/j.biopsych.2010.02.019

PubMed Abstract | CrossRef Full Text | Google Scholar

Farrington, D. P. (1989). Early predictors of adolescent aggressions and adult violence. Violence Vict. 4, 79–100. doi: 10.1891/0886-6708.4.2.79

PubMed Abstract | CrossRef Full Text | Google Scholar

Fernández-Rey, J., and Redondo, J. (2007). Recognition memory for pictorial stimuli: biasing effects of stimulus emotionality. Psicothema 19, 375–380.

PubMed Abstract | Google Scholar

Garaigordobil, M., Álvarez, Z., and Carralero, V. (2004). Conducta antisocial en niños de 10 a 12 años: factores de personalidad asociados y variables predictoras [Antisocial behavior in children aged 10 to 12 years: associated personality factors and predictor variables]. Behav. Anal. Modif. 30, 241–271.

Google Scholar

García, A., and Calvo, M. G. (2010). How spatial attention and attentional resources influence the processing of emotional visual scenes. Psicothema 22, 443–448.

PubMed Abstract | Google Scholar

Gil-Fenoy, M. J., García-García, J., Carmona-Samper, E., and Ortega-Campos, E. (2018). Antisocial behaviour and executive functions in young offenders. Rev. Psicodidact. 23, 70–76. doi: 10.1016/j.psicoe.2017.10.001

CrossRef Full Text | Google Scholar

Gordillo-León, F., Arana-Martínez, J. M., Mestas-Hernández, L., Salvador-Cruz, J., García-Meilán, J. J., Carro-Ramos, J., et al. (2010). Emoción y memoria de reconocimiento: la discriminación de la información negativa como un proceso adaptativo [Emotion and recognition memory: The discrimination of negative information as an adaptive process]. Psicothema 22, 765–771.

Google Scholar

Halty-Barrutieta, L., and Prieto-Ursúa, M. (2015). Neurophysiological indicators of emotional processing in youth psychopathy. Psicothema 27, 235–240. doi: 10.7334/psicothema2014.201

PubMed Abstract | CrossRef Full Text | Google Scholar

IBM Corporation (2019). IBM SPSS Statistics for Windows, Version 26.0. Armonk, NY: IBM Corp.

Google Scholar

Lang, P. J. (1995). The emotion probe: studies of motivation and attention. Am. Psychol. 50, 372–385. doi: 10.1037/0003-066X.50.5.372

PubMed Abstract | CrossRef Full Text | Google Scholar

Lang, P. J. (2010). Emotion and motivation: toward consensus definitions and a common research purpose. Emot. Rev. 2, 229–233. doi: 10.1177/1754073910361984

CrossRef Full Text | Google Scholar

Lang, P. J., Bradley, M. M., and Cuthbert, B. N. (2008). International Affective Picture System (IAPS): Instruction Manual and Affective Ratings, Technical Report A-8. Gainesville, FL: The Center for Research in Psychophysiology, University of Florida.

Google Scholar

LeDoux, J. E. (2000). “Cognitive-emotional interactions: listen to the brain” in Cognitive Neuroscience of Emotion, eds R. D. Lane and L. Nadel (Nueva York, NY: Oxford University Press), 129–155.

Google Scholar

López, R., Poy, R., Pastor, M. C., Segarra, P., and Moltó, J. (2009). Cardiac defense response as a predictor of fear learning. Int. J. Psychophysiol. 74, 229–235. doi: 10.1016/j.ijpsycho.2009.09.006

PubMed Abstract | CrossRef Full Text | Google Scholar

Miccoli, L., Delgado, R., Rodríguez-Ruiz, S., Guerra, P., García-Mármol, E., et al. (2014). Meet OLAF, a good friend of the IAPS! the open library of affective foods: a tool to investigate the emotional impact of food in adolescents. PLoS ONE 9:e114515. doi: 10.1371/journal.pone.0114515

PubMed Abstract | CrossRef Full Text | Google Scholar

Miccoli, L., Martínez-Fiestas, M., Delgado-Rodríguez, R., Díaz-Ferrer, S., Rodríguez-Ruiz, S., and Fernández-Santaella, M. C. (2018). Adolescent emotions toward sweet food cues as a function of obesity and risky dieting practices. Food Qual. Prefer. 68, 205–214. doi: 10.1016/j.foodqual.2018.03.006

CrossRef Full Text | Google Scholar

Moltó, J., Montañés, S., Poy, R., Segarra, P., Pastor, M. C., Tormo, M. P., et al. (1999). Un nuevo método para el estudio experimental de las emociones: El “International Affective Picture System” (IAPS). Adaptación española [A new method for the experimental study of emotions: the “International Affective Picture System” (IAPS). Spanish adaptation.]. Rev. Psicol. Gen. Appl. 52, 55–87.

Google Scholar

Moltó, J., Segarra, P., López, R., Esteller, A., Fonfría, A., Pastor, M. C., et al. (2013). Adaptación Española de “International Affective Picture System” (IAPS). Tercera parte [Spanish adaptation of the “International Affective Picture System” (IAPS). Third part]. An. Psicol. 29, 965–984. doi: 10.6018/analesps.29.3.153591

CrossRef Full Text | Google Scholar

Morea, A., and Calvete, E. (2020). Validación del Cuestionario Breve de Funciones Ejecutivas Webexec: Pruebas de rendimiento y síntomas psicológicos [Validation of the Brief Questionnaire of Executive Functions Webexec: Performance Tests and Psychological Symptoms]. Rev. Psicol. Clín. Niños. Adolesc. 7, 56–62. doi: 10.21134/rpcna.2020.07.2.7

CrossRef Full Text | Google Scholar

Moreno, D., Estévez, E., Murgui, S., and Musitu, G. (2009). Relación entre el clima familiar y el clima escolar: el rol de la empatía, la actitud hacia la autoridad y la conducta violenta en la adolescencia [Relationship between family and school environments: the role of empathy, attitude to authority, and violent behavior in adolescence.]. Int. J. Psychol. Psychol. Ther. 9, 123–136.

Google Scholar

Muñoz, J. J. (2004). Factores de riesgo y protección de la conducta antisocial en adolescentes [Risk and protective factors for antisocial behavior in adolescents]. Rev. Psiquatr. Fac. Med. Barc. 31, 21–37.

Google Scholar

Muñoz-García, J. J., Navas-Collado, E., and Fernández-Guinea, S. (2003). Evidencias de alteraciones cerebrales, cognitivas y emocionales en los “psicópatas” [Evidence of cerebral, cognitive, and emotional alterations in “psychopats”]. Psicopatol. Clín. Leg. Forense. 3, 59–84.

Google Scholar

Osgood, C., Suci, G., and Tannembaum, P. (1957). The Measurement of Meaning. Urbana, IL: University of Illinois.

Google Scholar

Pastor, M. C., Moltó, J., Vila, J., and Lang, P. J. (2003). Startle reflex modulation, affective ratings, and autonomic reactivity in incarcerated Spanish psychopaths. Psychophysiology 40, 934–938. doi: 10.1111/1469-8986.00111

PubMed Abstract | CrossRef Full Text | Google Scholar

Patrick, C. J., and Lavoro, S. A. (1997). Ratings of emotional response to pictorial stimuli: positive and negative affect dimensions. Motiv. Emot. 21, 297–321. doi: 10.1023/A:1024432322584

CrossRef Full Text | Google Scholar

Pincham, H. L., Bryce, D., and Pasco Fearon, R. M. (2015). The neural correlates of emotion processing in juvenile offenders. Dev. Sci. 18, 994–1005. doi: 10.1111/desc.12262

PubMed Abstract | CrossRef Full Text | Google Scholar

Redondo, J., and Méndez, A. (2011). Condicionamiento clásico electrodérmico aversivo y apetitivo utilizando imágenes como estímulos [Aversive and appetitive electrodermal classical conditioning using pictures as stimuli]. Psicothema 23, 203–208.

Google Scholar

Rockstroh, B. S., and McTeague, L. M. (2019). Psychophysiological approaches to understanding the impact of trauma exposure. Psychophysiology 57:1. doi: 10.1111/psyp.13497

PubMed Abstract | CrossRef Full Text | Google Scholar

Serafim, A. P., Barros, D. M., Valim, A., and Gorenstein, C. (2009). Cardiac response and anxiety levels in psychopathic murderers. Rev. Bras. Psiquiatr. 31, 214–218. doi: 10.1590/S1516-44462009000300006

CrossRef Full Text | Google Scholar

Steinberg, L. (2008). A social neuroscience perspective on adolescent risk-taking. Dev. Rev. 28, 78–106. doi: 10.1016/j.dr.2007.08.002

PubMed Abstract | CrossRef Full Text | Google Scholar

Syngelaki, E. M., Fairchild, G., Moore, S. C., Savage, J. C., and Van Goozen, S. H. (2013). Fearlessness in juvenile offenders is associated with offending rate. Dev. Sci. 16, 84–90. doi: 10.1111/j.1467-7687.2012.01191.x

PubMed Abstract | CrossRef Full Text | Google Scholar

Szabó, E., Halász, J., Morgan, A., Demetrovics, Z., and Kökönyei, G. (2020). Callous-unemotional traits and the attentional bias towards emotional stimuli: Testing the moderating role of emotional and behavioural problems among high-risk adolescents. Clin. Child Psychol. Psychiatry 25, 156–173. doi: 10.1177/1359104518822690

CrossRef Full Text | Google Scholar

Toro, R., García-García, J., and Zaldívar-Basurto, F. (2020). Antisocial disorders in adolescence and youth, according to structural, emotional, and cognitive transdiagnostic variables: a systematic review. Int. J. Environ. Res. Public. Health 17:3036. doi: 10.3390/ijerph17093036

CrossRef Full Text | Google Scholar

Truedsson, E., Fawcett, C., Wesevich, V., Gredebäck, G., and Wåhlstedt, C. (2019). The role of callous-unemotional traits on adolescent positive and negative emotional reactivity: a longitudinal community-based study. Front. Psychol. 10:573. doi: 10.3389/fpsyg.2019.00573

PubMed Abstract | CrossRef Full Text | Google Scholar

Vila, J., Sánchez, M., Ramírez, I., Fernández, M. C., Cobos, P., Rodríguez, S., et al. (2001). El Sistema Internacional de Imágenes Afectivas (IAPS): Adaptación española. Segunda parte [The International Affective Picture System (IAPS): Spanish adaptation. Second part]. Rev. Psicol. Gen. Appl. 54, 635–665.

Google Scholar

Zangróniz, R., Martínez-Rodrigo, A., Pastor, J., López, M., and Fernández-Caballero, A. (2017). Electrodermal activity sensor for classification of calm/distress condition. Sensors 17:2324. doi: 10.3390/s17102324

PubMed Abstract | CrossRef Full Text | Google Scholar

Zelazo, P., Qu, L., and Muller, U. (2004). “Hot and cool aspects of executive function: relations in early development” in Young Children's Cognitive Development: Interrelationships Among Executive Functioning, Working Memory, Verbal Ability and Theory of Mind, eds W. Schneider, R. Schumann, and B. Sodian (Mahwah, NJ: Lawrence Eribaum Associates Publishers), 71–93.

Google Scholar

Zelazo, P. D. (2020). Executive function and psychopathology: a neurodevelopmental perspective. Annu. Rev. Clin. Psychol. 16, 431–454. doi: 10.1146/annurev-clinpsy-072319-024242

PubMed Abstract | CrossRef Full Text | Google Scholar

Keywords: antisocial behavior [APA PSYNET], emotional assessment, executive functions hot, IAPS, juvenile justice, younger offenders

Citation: García-García J, Gil-Fenoy MJ, Sánchez-Barrera MB, de la Fuente-Sánchez L, Ortega-Campos E, Zaldívar-Basurto F and Carmona-Samper E (2021) Emotional Assessment in Spanish Youths With Antisocial Behavior. Front. Psychol. 12:671851. doi: 10.3389/fpsyg.2021.671851

Received: 24 February 2021; Accepted: 13 April 2021;
Published: 25 May 2021.

Edited by:

Ana M. Martín, University of La Laguna, Spain

Reviewed by:

Isabel Ramirez, National University of Distance Education (UNED), Spain
Martha Frías Armenta, University of Sonora, Mexico

Copyright © 2021 García-García, Gil-Fenoy, Sánchez-Barrera, de la Fuente-Sánchez, Ortega-Campos, Zaldívar-Basurto and Carmona-Samper. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Juan García-García, juan.garcia@ual.es

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.