Reduced GM–WM concentration inside the Default Mode Network in individuals with high emotional intelligence and low anxiety: a data fusion mCCA+jICA approach

The concept of emotional intelligence (EI) refers to the ability to recognize and regulate emotions to appropriately guide cognition and behaviour. Unfortunately, studies on the neural bases of EI are scant, and no study so far has exhaustively investigated grey matter (GM) and white matter (WM) contributions to it. To fill this gap, we analysed trait measure of EI and structural MRI data from 128 healthy participants to shed new light on where and how EI is encoded in the brain. In addition, we explored the relationship between the neural substrates of trait EI and trait anxiety. A data fusion unsupervised machine learning approach (mCCA + jICA) was used to decompose the brain into covarying GM–WM networks and to assess their association with trait-EI. Results showed that high levels trait-EI are associated with decrease in GM–WM concentration in a network spanning from frontal to parietal and temporal regions, among which insula, cingulate, parahippocampal gyrus, cuneus and precuneus. Interestingly, we also found that the higher the GM–WM concentration in the same network, the higher the trait anxiety. These findings encouragingly highlight the neural substrates of trait EI and their relationship with anxiety. The network is discussed considering its overlaps with the Default Mode Network

Correlati Neurali dell'Interferenza Proattiva con Parole Emozionali: Implicazioni per i Modelli della Regolazione Emozionale

Emotion regulation is a key concept in psychopathology and psychotherapy theoretical models (Aldao et al., 2012; Greemberg & Pascual-Leone, 2006). It has been taken into consideration as an important issue in the debates about the possibilities and limits of neuroimaging techniques application in studying complex clinical phenomena (Westen & Gabbard, 2002; Kandel, 2007). In neuroscience, emotion regulation has been described in terms of cognitive control of emotional responses, in line with the dual-process models based on the difference between controlled and automatic processes (Barrett et al, 2004). In the first chapter, a meta-analysis of fMRI studies on neural correlates of emotion regulation is described with the aim to summarize the data from the literature, and, in the second place, to compare adaptive and non-adaptive forms of emotion regulation. The results confirm the previous literature that has shown the increase of prefrontal areas activation and the decrease of limbic areas activation in carrying out voluntary strategies of emotion regulation (Ochsner et al., 2008; Diekhof et al., 2011). However, the comparison between adaptive and non-adaptive emotion regulation strategies did not show relevant differences. These results are discussed taking into account the studies’ methodological limits and the intervention of processes that go beyond the categorization of the dual-process models. Dual-process model of emotion regulation has been applied in describing psychotherapy effects. In this case, it has been hypothesized a change in emotion regulation brain areas as effect of psychotherapy intervention (De Rubeis et al., 2008). With the aim to verify this hypothesis, in the second chapter the results of a second meta-analysis of longitudinal studies on neural effects of psychotherapy is exposed. In line with the results, only a partial confirmation to the dual-process model was provided, whereas it was shown the intervention of semantic attribution processes, dependent on temporal areas (Binder et al., 2009), and self-related information processes, depending on the cortical midline structures (Northoff et al., 2006). In order to enrich the dual process models of emotion regulation, a neuroimaging study, described in the third chapter, had the aim to explain the implication of attentional processes not attributable to cognitive control. With this aim, the neural correlates of proactive interference (the interference of responses that were previously correct but no longer are) have been investigated. Proactive interference resolution require the control of the internal informational environment, as opposed to resisting the effects of salient or prepotent stimuli of external origin in the elaboration of response, and it is related with semantic categories of the experimental stimuli, which in this experiment included emotional or neutral categories. The result of this study have shown that the emotional content of the experimental stimuli interacts with the increase of proactive interference affecting the modulation of cerebral areas part of the semantic system, (Binder et al., 2001), of the attentional ventral network, involved in forms of attention dependent on the behavioural relevance of stimuli, more than on voluntary attention (Corbetta et al., 2008), and the default system associated with internal directed attention (Raichle et al., 2001). In the fourth chapter, an analysis of individual differences is described, which showed the association between individual differences in spontaneous avoidance and the modulation of temporal semantic areas. Finally, at the conclusion of the present dissertation, some clinical and conceptual remarks related to the empirical data are discussed

Reliability of Early Fetal Echocardiography for Congenital Heart Disease Detection: A Preliminary Experience and Outcome Analysis of 102 Fetuses to Demonstrate the Value of a Clinical Flow-Chart Designed for At-Risk Pregnancy Management

Early fetal echocardiography (EFEC) is a fetal cardiac ultrasound analysis performed between the 12th and 16th week of pregnancy (compared with the usual 18-22 weeks). In the last 10 years, the introduction of “aneuploidy sonographic markers” in screening for cardiac defects has led to a shift from late second to end of the first trimester or beginning of the second trimester of pregnancy for specialist fetal echocardiography. In this prospective study, early obstetric screening was performed between January 2014 and October 2015, using “aneuploidy sonographic markers” following SIEOG Guidelines 2014. These parameters were then collected and strategically combined in an evaluation score to select the group of pregnancies for performing EFEC, in accordance with the American Society of Echocardiography guidelines for fetal Echocardiography. All second-level examinations were performed transabdominally using a 3D convex volumetric probe with frequency range of 4-8 MHz (Accuvix – Samsung). The outcome data included transabdominal fetal echocardiography from 18 weeks to term and after birth. Overall, 99 pregnant women in the first trimester underwent EFEC (95 singleton and 4 twin pregnancies). Specifically, 30 fetuses were evaluated for extra-cardiac anomalies evidenced by obstetric screening (30%), 25 for family history of congenital heart diseases (25%), 8 for family history of genetic-linked diseases (8%), 4 for heart diseases suspected by obstetric screening (4%) and 19 by normal screening (19%). Was detected 11 (10.7%) CHD, when EFEC detected CHD, were compared to those performed later in pregnancy (18 weeks GA-term), a high degree of diagnosis correspondence was evidenced. The higher sensitivity value of EFEC vs late-FE, in comparison with the post-natal value, coupled with the high EFEC specificity shown vs both the end points, enabled us to consider it as a really reliable diagnostic technology, at least in perienced hands. The introduction of a key combination of the more sensitive obstetric and cardiologic variables should facilitate the formulation of a possible flow-chart as a guide for CHD at-risk pregnancies

Comparing reappraisal and acceptance strategies to understand the neural architecture of emotion regulation: a meta-analytic approach

Introduction: In the emotion regulation literature, the amount of neuroimaging studies on cognitive reappraisal led the impression that the same top-down, control-related neural mechanisms characterize all emotion regulation strategies. However, top-down processes may coexist with more bottom-up and emotion-focused processes that partially bypass the recruitment of executive functions. A case in point is acceptance-based strategies.Method: To better understand neural commonalities and differences behind different emotion regulation processes, in the present study, we applied the Activation Likelihood Estimation (ALE) method to perform a meta-analysis on fMRI studies investigating task-related activity of reappraisal and acceptance. Both increased and decreased brain activity was taken into account in the contrast and conjunction analysis between the two strategies.Results: Results showed increased activity in left-inferior frontal gyrus and insula for both strategies, and decreased activity in the basal ganglia for reappraisal, and decreased activity in limbic regions for acceptance.Discussion: These findings are discussed in the context of a model of common and specific neural mechanisms of emotion regulation that support and expand the previous dual-routes models. We suggest that emotion regulation may rely on a core inhibitory circuit, and on strategy-specific top-down and bottom-up processes distinct for different strategies

Abnormal default system functioning in depression: Implications for emotion regulation

open5noDepression is widely seen as the result of difficulties in regulating emotions. Based on neuroimaging studies on voluntary emotion regulation, neurobiological models have focused on the concept of cognitive control, considering emotion regulation as a shift toward involving controlled processes associated with activation of the prefrontal and parietal executive areas, instead of responding automatically to emotional stimuli. According to such models, the weaker executive area activation observed in depressed patients is attributable to a lack of cognitive control over negative emotions. Going beyond the concept of cognitive control, psychodynamic models describe the development of individuals’ capacity to regulate their emotional states in mother-infant interactions during childhood, through the construction of the representation of the self, others, and relationships. In this mini-review, we link these psychodynamic models with recent findings regarding the abnormal functioning of the default system in depression. Consistently with psychodynamic models, psychological functions associated with the default system include self-related processing, semantic processes, and implicit forms of emotion regulation. The abnormal activation of the default system observed in depression may explain the dysfunctional aspects of emotion regulation typical of the condition, such as an exaggerated negative self-focus and rumination on self-esteem issues. We also discuss the clinical implications of these findings with reference to the therapeutic relationship as a key tool for revisiting impaired or distorted representations of the self and relational objects.openMessina, Irene; Francesca, Bianco; Cusinato, Maria; Calvo, Vincenzo; Sambin, MarcoMessina, Irene; Bianco, Francesca; Cusinato, Maria; Calvo, Vincenzo; Sambin, Marc

An overview of the Italian contribution to the international multisite SPRISTAD study on psychotherapy training

open5openMessina I.; Gullo S.; Gelo O.C.G.; Giordano C.; Salcuni S.Messina, I.; Gullo, S.; Gelo, O. C. G.; Giordano, C.; Salcuni, S

Godišnje promjene nekih pokazatelja mijene tvari u mliječnih krava na području Sredozemlja.

The seasonal rhythms reflect the ability of the endogenous adaptive mechanism to react in advance to the regular environmental changes associated with the seasons. It seems that these biochemical parameters are often influenced by a change in physiological status. The aim of this study was to assess the trend of annual variations of some biochemical parameters in dairy cows. The experimental subjects were ten dairy cows and the start of the experimental period coincided with the last month of pregnancy. These animals were monitored for one year and blood samples were collected every month. From the obtained sera, total bilirubin, blood urea nitrogen (BUN), creatinine, total cholesterol, non-esterified fatty acids (NEFA), tryglicerides, β-hydroxybutyrate, total proteins, calcium and phosphorus were assessed by means of an automated spectrophotometer. All the results were expressed as mean ± standard deviation (SD). Data were normally distributed (P<0.05, Kolmogorov-Smirnov test). One method of repeated measurement, the Analysis of Variance (ANOVA), was applied to determine the effect of time during the experimental period (12 months) and P values of <0.05 were considered statistically significant. Using cosinor-rhythmometry, three rhythmic parameters were determined: mesor (mean level), amplitude (half the range of oscillation) and acrophase (Φ, time of peak). A significant effect of time (P<0.0001) was shown for all the parameters, except for NEFA. After application of cosinor rhythmometry, only total bilirubin, creatinine, triglycerides and β-hydroxybutyrate showed a seasonal rhythm. In conclusion we can affirm that our results supplement the current information available about the circannual changes in the metabolic activity of these animals and help us to evaluate the adaptation of these animals to environmental changes, together with the metabolic effect of calving and lactation.Ritam promjene godišnjih doba utječe na endogeni adaptacijski mehanizam kako bi on unaprijed reagirao na sezonske promjene u okolišu. Čini se da promjene u fiziološkom stanju često utječu na biokemijske pokazatelje vezane uz taj mehanizam. Svrha je ovog istraživanja procijeniti utjecaj godišnjih promjena na neke biokemijske pokazatelje u mliječnih krava. U pokus je bilo uzeto 10 mliječnih krava, a sam je pokus započeo kad su one bile u posljednjem mjesecu bređosti. Krave su bile promatrane tijekom jedne godine, a krv im je bila uzimana svaki mjesec. Uzeti uzorci seruma bili su automatskim spekrofotometrom pretraženi na ukupni bilirubin, dušik iz ureje u krvi (BUN), kreatinin, ukupni kolesterol, neesterificirane masne kiseline, trigliceride, β-hidroksibutirat, ukupne bjelančevine te kalcij i fosfor. Rezultati su bili izraženi kao srednja vrijednost ± standardna devijacija (SD). Podatci su bili normalno distribuirani (P<0,05, Kolmogorov-Smirnov test). Za ponovljeno mjerenje bila je primijenjena analiza varijance (ANOVA) kako bi se odredio učinak vremena tijekom pokusnog razdoblja (12 mjeseci) te su P vrijednosti <0,05 smatrane statistički značajnima. Uporabom Cosinor ritmometrije određena su četiri ritmička pokazatelja: mesor (srednja vrijednost), amplituda (polovica područja oscilacije) i akrofaza (Φ, vršno vrijeme). Značajan učinak vremena (P<0,0001) dokazan je za sve pokazatelje, osim za neesterificirane masne kiseline. Nakon primjene cosinor ritmometrije samo su ukupni bilirubin, kreatinin, trigliceridi i β-hidroksibutirat pokazivali sezonski ritam. Zaključno se može potvrditi da rezulati predstavljaju doprinos aktualnim informacijama o godišnjim promjenama metaboličke aktivnosti u krava i pomažu vrednovanju njihove prilagodbe okolišnim promjenama kod teljenja i laktacije

Dysregulated Anxiety and Dysregulating Defenses: Toward an Emotion Regulation Informed Dynamic Psychotherapy

One of the main objectives of psychotherapy is to address emotion dysregulation that causes pathological symptoms and distress in patients. Following psychodynamic theory, we propose that in humans, the combination of emotions plus conditioned anxiety due to traumatic attachment can lead to dysregulated affects. Likewise, defenses can generate and maintain dysregulated affects (altogether Dysregulated Affective States, DAS). We propose the Experiential-Dynamic Emotion Regulation methodology, a framework to understand emotion dysregulation by integrating scientific evidence coming from the fields of affective neuroscience and Experiential-Dynamic Psychotherapy aimed at resolving DAS. This method and the techniques proposed can be integrated within other approaches. Similarities and differences with the Cognitive model of emotion regulation and cognitive-behavioral approaches are discussed within the paper

Volatile organic compounds: instrumental and canine detections link an individual to the crime scene

Background: Whenever a crime is committed, forensic personnel are requested to collect every kind of evidence to establish the relationship between the suspects and the crime. When any evidence is accidentally destroyed or not found, there is one type of latent evidence that is always deposited at the crime scene: unique human scent. Recently, the use of trained canines to detect selective human scent at a crime scene has increased. To consolidate this kind of evidence, it is essential to have an exact knowledge and an awareness of the chemical signature of the volatile compounds that could indicate the presence of the alleged offender at the crime scene. This experimental study aims to detect the volatile organic compounds (VOCs) released from subjects who handled scent-articles to imprint their odor on. After handling, each scent-article was wrapped in sterile and VOC-free cotton gauzes for 48 h for secondary transfer. VOCs were detected by headspace/solid-phase microextraction-gas chromatography/mass spectrometry (HS/SPME-GC/MS) and well-trained dogs, at different time points (up to 15 days). Furthermore, the possibility of further DNA detection after contact was also investigated to propose a novel approach able to identify a subject from this latent forensic trace. Results: Data show that inter-individual human scent composition includes different VOCs, but dogs were able to discriminate the individual who touched the object at the crime scene. The dog training procedure showed excellent sensitivity (between 99.48 and 100%) and specificity (between 60 and 100%), having a positive predictive value (PPV) ranging between 97.94 and 100% and a negative predictive value (NPV) ranging between 85.71 and 100%. Preliminary work on DNA analysis released after contact yielded positive results, even if further studies are necessary, expanding the same experimentation to a larger sample with the aim of obtaining a statistically significant result. Conclusion: Data show that human scent is a good source of VOCs and a good target for canine training. The well-trained dog represents a specialized biological device able to discriminate personal human odor from any contaminants in the mixture detected by instrumental analysis. Furthermore, this study proposes the use of human scent as a forensic latent trace for DNA profiling