scholarly journals The adaptation of trust behavior and the association with friendships in adolescents

2020 ◽  
Author(s):  
Hester Sijtsma ◽  
Nikki Lee ◽  
Marlieke van Kesteren ◽  
Mariet van Buuren ◽  
Barbara Braams ◽  
...  

Being able to adapt one’s trust behavior is essential for social relationships. In the current fMRI study, we first examined adolescents’ ability to adapt trust behavior and the neural mechanisms of trust. Second, we examined developmental differences by comparing young and late adolescents. Third, we examined how positions in a friendship network, derived from social network analysis, relate to trust behavior in the late adolescent group. Seventeen young adolescents (Mage=12.6, SD=0.9, 10 female) and 33 late adolescents (Mage=17.2, SD=0.5, 25 female) played two trust games. Participants received a priori information suggesting that one partner was trustworthy and one partner untrustworthy. In reality, the behavior of both partners was programmed as trustworthy behavior. Results indicated that adolescents adapt their trust behavior when incorrect a priori information was provided, and developmental differences in this ability to adapt trust behavior were found. When incorrect a priori information was provided, late adolescents showed more dlPFC activity when receiving the partner’s feedback compared to young adolescents. Furthermore, late adolescents with less central network positions were more adaptive in their trust behavior compared to late adolescents with more central positions. This study provides insight into how age and social relationships influence trust behavior during adolescence.

2019 ◽  
Vol 9 (7) ◽  
Author(s):  
Kirsten Weber ◽  
Cristiano Micheli ◽  
Esther Ruigendijk ◽  
Jochem W. Rieger

2000 ◽  
Vol 54 (5) ◽  
pp. 721-730 ◽  
Author(s):  
S. S. Kharintsev ◽  
D. I. Kamalova ◽  
M. Kh. Salakhov

The problem of improving the resolution of composite spectra with statistically self-similar (fractal) noise is considered within the framework of derivative spectrometry. An algorithm of the numerical differentiation of an arbitrary (including fractional) order of spectra is produced by the statistical regularization method taking into account a priori information on statistical properties of the fractal noise. Fractal noise is analyzed in terms of the statistical Hurst method. The efficiency and expedience of this algorithm are exemplified by treating simulated and experimental IR spectra.


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