Roberta Finocchiaro

Reward sensitivity, decisional bias, and metacognitive deficits in cocaine drug addiction

Objectives:The present research explored the effect of reward sensitivity bias and metacognitive deficits on substance use disorder (SUD) in the decision-making process. Methods:The behavioral activation system (BAS) was used as a predictive marker of dysfunctional behavior during the Iowa gambling task (IGT). We also tried to relate this motivational system bias to self-reported metacognitive measures (self-knowledge, strategic planning, flexibility, and efficacy) in the decision processes. Thirty-four SUD participants (cocaine dependent) and 39 participants in the control group underwent the IGT. Results:The SUD group was associated with a poorer performance on the IGT and a dysfunctional metacognition ability (unrealistic representation). An increase in the reward sensitivity (higher BAS, BAS reward responsiveness, and BAS reward) was observed in the SUD group compared with the control group and explained (through a regression analysis) the main behavioral deficits. More generally, an increase in the BAS reward responsiveness may be considered a predictive measure of risk-taking and dysfunctional behavior, not only in pathological (SUD) individuals, but also in subclinical individuals (controls). Conclusions:We discuss the likely cognitive, brain, and neurotransmitter contributions to this phenomenon.

Decisional impairments in cocaine addiction, reward bias, and cortical oscillation “unbalance”

A vast amount of research has suggested that subjects with substance use disorder (SUD) might have difficulty making advantageous decisions that opt in favor of a longer-term, larger reward than an immediate, smaller reward. The current research explored the impact of reward bias and cortical frontal asymmetry (left lateralization effect) in SUD in response to a decisional task (Iowa Gambling Task). Fifty SUD participants and 40 controls (CG) were tested using the Iowa Gambling Task. Electrophysiology (electroencephalography) recording was performed during task execution. We measured left and right dorsolateral prefrontal cortex power activity. Behavioral responses (gain/loss options); frequency band modulation (asymmetry index) for delta, theta, alpha, and beta band; and cortical source localization (standardized low-resolution brain electromagnetic tomography) were considered. The SUD group opted in favor of the immediate reward option (loss) more frequently than the long-term option (gain) when compared to the CG. Secondly, SUD showed increased left-hemisphere activation in response to losing (with immediate reward) choices in comparison with the CG. The left hemispheric unbalance effect and the “reward bias” were adduced to explain the decisional impairment in SUD.

Left Hemispheric Imbalance and Reward Mechanisms Affect Gambling Behavior The Contribution of the Metacognition and Cortical Brain Oscillations

The present research used the Iowa Gambling Task to test the effect of the reward-sensitivity Behavioral Activation System–Reward (BAS-Reward) construct on the ability to distinguish between high- and low-risk decisions. To elucidate the individual differences that influence the decisional processes, making the strategies more or less advantageous, we considered the impact of the BAS motivational system and the frontal left and right cortical activity on subjects’ decisions. More specifically, the lateralization effect, which is related to the increased activation of the left (BAS-Reward-related) hemisphere, was explored by using frequency band analysis. Specifically, behavioral responses (gain/loss options), metacognition, and delta, theta, alpha, and beta band modulation (asymmetry index) were considered. Thirty subjects were divided into high-BAS and low-BAS groups. In comparison with low-BAS, the high-BAS group showed an increased tendency to opt in favor of the immediate reward (losing strategy) instead of the long-term option (winning strategy), and members of this group were more impaired in metacognitive monitoring of their strategies and showed an increased left hemisphere activation when they responded to losing choices. A “reward bias” effect was hypothesized to act for high BAS, based on a left-hemisphere hyperactivation.

Multilevel analysis of facial expressions of emotion and script: self-report (arousal and valence) and psychophysiological correlates

BackgroundThe paper explored emotion comprehension in children with regard to facial expression of emotion. The effect of valence and arousal evaluation, of context and of psychophysiological measures was monitored. Indeed subjective evaluation of valence (positive vs. negative) and arousal (high vs. low), and contextual (facial expression vs. facial expression and script) variables were supposed to modulate the psychophysiological responses.MethodsSelf-report measures (in terms of correct recognition, arousal and valence attribution) and psychophysiological correlates (facial electromyography, EMG, skin conductance response, SCR, and heart rate, HR) were observed when children (N = 26; mean age = 8.75 y; range 6-11 y) looked at six facial expressions of emotions (happiness, anger, fear, sadness, surprise, and disgust) and six emotional scripts (contextualized facial expressions). The competencies about the recognition, the evaluation on valence and arousal was tested in concomitance with psychophysiological variations. Specifically, we tested for the congruence of these multiple measures.ResultsLog-linear analysis and repeated measure ANOVAs showed different representations across the subjects, as a function of emotion. Specifically, children’ recognition and attribution were well developed for some emotions (such as anger, fear, surprise and happiness), whereas some other emotions (mainly disgust and sadness) were less clearly represented. SCR, HR and EMG measures were modulated by the evaluation based on valence and arousal, with increased psychophysiological values mainly in response to anger, fear and happiness.ConclusionsAs shown by multiple regression analysis, a significant consonance was found between self-report measures and psychophysiological behavior, mainly for emotions rated as more arousing and negative in valence. The multilevel measures were discussed at light of dimensional attribution model.

Deficit in rewarding mechanisms and prefrontal left/right cortical effect in vulnerability for internet addiction.

Objective The present research explored the cortical correlates of rewarding mechanisms and cortical ‘unbalance’ effect in internet addiction (IA) vulnerability. Methods Internet Addiction Inventory (IAT) and personality trait (Behavioural Inhibition System, BIS; Behavioural Activation System, BAS) were applied to 28 subjects. Electroencephalographic (EEG, alpha frequency band) and response times (RTs) were registered during a Go-NoGo task execution in response to different online stimuli: gambling videos, videogames or neutral stimuli. Higher-IAT (more than 50 score, with moderate or severe internet addiction) and lower-IAT (<50 score, with no internet addiction). Results Alpha band and RTs were affected by IAT, with significant bias (reduced RTs) for high-IAT in response to gambling videos and videogames; and by BAS, BAS-Reward subscale (BAS-R), since not only higher-IAT, but also BAS and BAS-R values determined an increasing of left prefrontal cortex (PFC) activity (alpha reduction) in response to videogames and gambling stimuli for both Go and NoGo conditions, in addition to decreased RTs for these stimuli categories. Conclusion The increased PFC responsiveness and the lateralisation (left PFC hemisphere) effect in NoGo condition was explained on the basis of a ‘rewarding bias’ towards more rewarding cues and a deficit in inhibitory control in higher-IAT and higher-BAS subjects. In contrast lower-IAT and lower-BAS predicted a decreased PFC response and increased RTs for NoGo (inhibitory mechanism). These results may support the significance of personality (BAS) and IAT measures for explaining future internet addiction behaviour based on this observed ‘vulnerability’.

Evidences from Rewarding System, FRN and P300 Effect in Internet-Addiction in Young People

The present research explored rewarding bias and attentional deficits in Internet addiction (IA) based on the IAT (Internet Addiction Test) construct, during an attentional inhibitory task (Go/NoGo task). Event-related Potentials (ERPs) effects (Feedback Related Negativity (FRN) and P300) were monitored in concomitance with Behavioral Activation System (BAS) modulation. High-IAT young participants showed specific responses to IA-related cues (videos representing online gambling and videogames) in terms of cognitive performance (decreased Response Times, RTs; and Error Rates, ERs) and ERPs modulation (decreased FRN and increased P300). Consistent reward and attentional biases was adduced to explain the cognitive “gain” effect and the anomalous response in terms of both feedback behavior (FRN) and attentional (P300) mechanisms in high-IAT. In addition, BAS and BAS-Reward subscales measures were correlated with both IAT and ERPs variations. Therefore, high sensitivity to IAT may be considered as a marker of dysfunctional reward processing (reduction of monitoring) and cognitive control (higher attentional values) for specific IA-related cues. More generally, a direct relationship among reward-related behavior, Internet addiction and BAS attitude was suggested.

ID 42 – Empowering executive functions by neuromodulation (tDCS) in healthy elderly: Psychometric and EEG evidences

Objective While the contribution of non-invasive brain stimulation (NIBS) in preventing cognitive decline is looked with interest, NIBS empowerment of healthy elderly is understudied. The present research aims at investigating the effect of prefrontal transcranial direct current stimulation (tDCS) in empowering executive functions and electrophysiologic attention responses in healthy aging. Methods 22 participants have been assigned to the intervention or control group and underwent a complex assessment at T0 and at T1 – after three months. The anodal tDCS protocol lasted eight weeks (three sessions per week), with twice-weekly administration of tasks tapping on executive functions. A complete set of standardized cognitive tests and an electroencephalographic recording during a challenging computerized attention task have been integrated in the assessment protocol. Results T0–T1 comparisons highlighted a significant increase in post-intervention performances for the tDCS group. Specifically, tests tapping on executive functions and automatic electrophysiologic attention responses showed positive modulations. Conclusions The consistency of behavioral and electrophysiologic findings suggests that a moderately intensive NIBS protocol might mediate the empowerment of specific cognitive functions even in healthy aging people. Key message Physiological aging is a dynamic process, where non-invasive interventions may capitalize on resources of the cognitive reserve to help improving cognitive functioning.

Web addiction in the brain: Cortical oscillations, autonomic activity, and behavioral measures

Background and aims Internet addiction (IA) was recently defined as a disorder tagging both the impulse control and the reward systems. Specifically, inhibitory deficits and reward bias were considered highly relevant in IA. This research aims to examine the electrophysiological correlates and autonomic activity [skin conductance response (SCR) and heart rate] in two groups of young subjects (N = 25), with high or low IA profile [tested by the Internet Addiction Test (IAT)], with specific reference to gambling behavior. Methods Oscillatory brain activity (delta, theta, alpha, beta, and gamma) and autonomic and behavioral measures [response times (RTs) and error rates (ERs)] were acquired during the performance of a Go/NoGo task in response to high-rewarding (online gambling videos and video games) or neutral stimuli. Results A better performance (reduced ERs and reduced RTs) was revealed for high IAT in the case of NoGo trials representing rewarding cues (inhibitory control condition), probably due to a “gain effect” induced by the rewarding condition. In addition, we also observed for NoGo trials related to gambling and video games stimuli that (a) increased low-frequency band (delta and theta) and SCR and (b) a specific lateralization effect (more left-side activity) delta and theta in high IAT. Discussion Both inhibitory control deficits and reward bias effect were considered to explain IA.

Erratum: Balconi, M.; et al. Evidences from Rewarding System, FRN and P300 Effect in Internet-Addiction in Young People SHORT TITLE: Rewarding System and EEG in Internet-Addiction Brain Sciences 2017, 7, 81

We would like to submit the following erratum to our recently published paper [1] due to the error in the title.[...].

Left/Right Hemispheric “Unbalance” Model in Addiction

Abstract Addiction is a complex phenomenon involving genetic, neurobiological, and environmental factors. Neuroscience literature has shown several functional and structural changes in the addicts brain, in particular alterations in the neural circuits of the limbic system (related to reward-related systems) and the prefrontal cortex (for the higher cognitive functions). This anomalous brain activity could explain impairments in emotional and cognitive processes involved in decision-making and rewarding bias, thus addicts are vulnerable to relapse and persist with dysfunctional behavior. We focus on the main research on addiction disease that elucidated the neurophysiological mechanisms (brain oscillations and connectivity) implicated, and propose a model, namely Integrative Cortical Unbalance Model that includes the relationship among the motivational system (behavioral activation system), the reward sensitivity bias, and the left lateralization unbalance effect. Finally, we discuss some novel lines of treatment to improve both clinical phenomenology and metacognitive strategies in addiction.