“…Together, P3a and P3b reveal a widely distributed network pathway engaging both frontal and temporal-parietal areas (Polich, 2003). These source patterns associated with P3a and P3b generation are in line with other EEG studies (Volpe et al, 2007; Li et al, 2015; Lole et al, 2015), which have been carried out with different experimental designs and paradigms. Particularly, these sources are consistent with other reports (Mulert et al, 2004a,b; Volpe et al, 2007) that used the LORETA inverse solution.…”
Section: Discussionsupporting
confidence: 90%
“…The data were then re-referenced to the common average signal across all electrodes. In order to examine the latent nature of the N1, P3a and P3b component without the effects of overlapping ERP, the data were subjected to a two-step PCA/ICA component analysis (Luu et al, 2014; Lole et al, 2015). …”
Adolescence is a sensitive period for the development of romantic relationships. During this period the maturation of frontolimbic networks is particularly important for the capacity to regulate emotional experiences. In previous research, both functional magnetic resonance imaging (fMRI) and dense array electroencephalography (dEEG) measures have suggested that responses in limbic regions are enhanced in adolescents experiencing social rejection. In the present research, we examined social acceptance and rejection from romantic partners as they engaged in a Chatroom Interact Task. Dual 128-channel dEEG systems were used to record neural responses to acceptance and rejection from both adolescent romantic partners and unfamiliar peers (N = 75). We employed a two-step temporal principal component analysis (PCA) and spatial independent component analysis (ICA) approach to statistically identify the neural components related to social feedback. Results revealed that the early (288 ms) discrimination between acceptance and rejection reflected by the P3a component was significant for the romantic partner but not the unfamiliar peer. In contrast, the later (364 ms) P3b component discriminated between acceptance and rejection for both partners and peers. The two-step approach (PCA then ICA) was better able than either PCA or ICA alone in separating these components of the brain's electrical activity that reflected both temporal and spatial phases of the brain's processing of social feedback.
“…Together, P3a and P3b reveal a widely distributed network pathway engaging both frontal and temporal-parietal areas (Polich, 2003). These source patterns associated with P3a and P3b generation are in line with other EEG studies (Volpe et al, 2007; Li et al, 2015; Lole et al, 2015), which have been carried out with different experimental designs and paradigms. Particularly, these sources are consistent with other reports (Mulert et al, 2004a,b; Volpe et al, 2007) that used the LORETA inverse solution.…”
Section: Discussionsupporting
confidence: 90%
“…The data were then re-referenced to the common average signal across all electrodes. In order to examine the latent nature of the N1, P3a and P3b component without the effects of overlapping ERP, the data were subjected to a two-step PCA/ICA component analysis (Luu et al, 2014; Lole et al, 2015). …”
Adolescence is a sensitive period for the development of romantic relationships. During this period the maturation of frontolimbic networks is particularly important for the capacity to regulate emotional experiences. In previous research, both functional magnetic resonance imaging (fMRI) and dense array electroencephalography (dEEG) measures have suggested that responses in limbic regions are enhanced in adolescents experiencing social rejection. In the present research, we examined social acceptance and rejection from romantic partners as they engaged in a Chatroom Interact Task. Dual 128-channel dEEG systems were used to record neural responses to acceptance and rejection from both adolescent romantic partners and unfamiliar peers (N = 75). We employed a two-step temporal principal component analysis (PCA) and spatial independent component analysis (ICA) approach to statistically identify the neural components related to social feedback. Results revealed that the early (288 ms) discrimination between acceptance and rejection reflected by the P3a component was significant for the romantic partner but not the unfamiliar peer. In contrast, the later (364 ms) P3b component discriminated between acceptance and rejection for both partners and peers. The two-step approach (PCA then ICA) was better able than either PCA or ICA alone in separating these components of the brain's electrical activity that reflected both temporal and spatial phases of the brain's processing of social feedback.
“…This supports the notion that (on average) such events may be a source of reinforcement or attenuate the otherwise aversive effect of losing. Similar results have been reported in a sample of problem gamblers, although these results also displayed a general hyposensitivity to both winning and losing outcomes relative to healthy controls (Lole et al ., ). Finally, Qi et al .…”
Section: The Neuroscience Of Losing Winning and Nearly Winningmentioning
Video slot machines are associated with both accelerated transition into problematic forms of gambling, as well as psychosocial harm above and beyond other forms of gambling. A growing body of evidence is uncovering how key design features of multiline slot machines produce an inflated experience of reward, despite the fact that these features offer no overall financial benefit to the player. A pernicious example of this are ‘losses disguised as wins’ (LDWs), which occur when simultaneous bets placed on multiple lines result in a winning combination that returns an amount greater than zero, but less the total wager. These events are usually accompanied by the same celebratory sounds and animations that accompany true wins. We argue that LDWs may leverage neuropsychological phenomena that underlie reinforcement learning and contribute to extended or repetitive use and gambling‐related harm. While other characteristics of slot machine gambling have been examined by cognitive neuroscientists, this feature has not yet received attention. Neuroscientific methods can be used to assess the impact of LDWs on the human reward system, to assess the claim that these events are a reinforcing and contributing factor in the development of harmful play. Positive findings would provide further persuasive evidence in support of strategies to minimise gambling harm through the regulation of machine design.
“…Moreover, these ERPs are associated with maturation and degeneration of attentional processes across the lifespan [7]. Additionally, these endophenotypes are also markers for other addictions and associated impulsive behaviors [8, 9]. …”
Heightened emotional states increase impulsive behaviors such as excessive ethanol consumption in humans. Though positive and negative affective states in rodents can be monitored in real-time through ultrasonic vocalization (USV) emissions, few animal studies have focused on the role of emotional status as a stimulus for initial ethanol drinking. Our laboratory has recently developed reliable, high-speed analysis techniques to compile USV data during multiple-hour drinking sessions. Since High Alcohol Drinking (HAD-1) rats are selectively bred to voluntarily consume intoxicating levels of alcohol, we hypothesized that USVs emitted by HAD-1 rats would reveal unique emotional phenotypes predictive of alcohol intake and sensitive to alcohol experience. In this study, male HAD-1 rats had access to water, 15% and 30% EtOH or water only (i.e., Controls) during 8 weeks of daily 7-hr drinking-in-the-dark (DID) sessions. USVs, associated with both positive (i.e., 50–55 kHz frequency-modulated or FM) and negative (i.e., 22–28 kHz) emotional states, emitted during these daily DID sessions were examined. Findings showed basal 22–28 kHz USVs were emitted by both EtOH-Naïve (Control) and EtOH-experienced rats, alcohol experience enhanced 22–28 kHz USV emissions, and USV acoustic parameters (i.e., mean frequency in kHz) of both positive and negative USVs were significantly suppressed by chronic alcohol experience. These data suggest that negative affective status initiates and maintains excessive alcohol intake in selectively bred HAD-1 rats and support the notion that unprovoked emissions of negative affect-associated USVs (i.e., 22–28 kHz) predict vulnerability to excessive alcohol intake in distinct rodent models.
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