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Showing 2 results for Sarabi-Jamab

Amirhossein Tehrani-Safa, Reza Ghaderi, Mohammad Herasat, Atiye Sarabi-Jamab,
Volume 15, Issue 3 (May & Jun 2024)
Abstract

Introduction: During early adolescence, peer influences play a crucial role in shaping learning and decision preferences. When teens observe what their peers are doing, they can learn and change their behavior, especially when they are taking risks. Our study incorporated an economical behavioral task and computational modeling framework to examine whether and how early male adolescents’ risk attitudes change when they see information about their peers’ choices.
Methods: We recruited 38 middle school male students aged 12-15 years. The experiment consisted of three sessions: The first and third sessions were designed to evaluate the risk attitude of the participants. In the second session, participants were asked to guess the choices made by their peers, and then, the computer gave them feedback on the correctness of their predictions. Each participant was randomly assigned to risk-taking or risk-averse peers. 
Results: Our results revealed that teenagers who predicted risk-averse peers exhibited significant declines in their risk attitudes during the last session. On the other hand, participants with risk-seeking peers exhibited a significantly higher level of risk attitudes after predicting their peers. The data showed that these peer-biased changes in risk attitudes are proportional to the gap between teens and their peers’ risk perspectives. Results showed that their perspectives aligned closer after receiving the information, and approximately a third of the gap was eliminated.
Conclusion: Here, by combining choice data and computational modeling, we demonstrate that risky behavior is contagious among male adolescents. According to our data, peer-biased risk contagion, a socially motivated and deliberate process, is associated with social distance in teens. There's no causal directionality here, but we could speculate that peer influence goes hand-in-hand with social integration as an adaptive process.

Farzad Rostami, Ali Esteki, Atiye Sarabi-Jamab,
Volume 15, Issue 5 (September & October 2024)
Abstract

Introduction: It is common for individuals with internet addiction disorder (IAD) to demonstrate impairments in interference and inhibitory control. A primary objective of this study was to explore how interference control is related to event-related spectral perturbations (ERSPs) and whether participants with IAD experience changes in these spectral dynamics.
Methods: Twenty-one IAD participants and 20 healthy controls (HCs) were administered a Stroop task while their brains’ electroencephalographic (EEG) activity was recorded. ERSPs were extracted from the EEG, and a cluster-based random permutation test was conducted to compare the power between the two groups at each time-frequency level.
Results: In the IAD group, the Stroop effect was significantly less for theta than in the HC group in an earlier time window. According to these results, IADs could not successfully inhibit their brain activation for stimulus conflict detection. Furthermore, IAD participants displayed a significant ERSP Stroop effect at beta2 and gamma frequencies, with the main contribution coming from bilateral dorsal frontal and parietal cortex over the scalp compared to HC participants. 
Conclusion: In our study, IADs displayed reduced conflict detection and response selection compared to HCs, as measured by theta band indices, as well as impaired conflict resolution, as revealed by altered interaction dynamics between beta2 and gamma bands. Among the first studies investigating oscillatory dynamics in conflict resolution for IAD groups, this study uses cluster-based random permutation tests.


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