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Frontostriatal maturation predicts cognitive control failure to appetitive cues in adolescence. (2011)

by L H Somerville
Venue:J. Cogn. Neurosci.
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The Impact of Internet Pornography on Adolescents: A Review of the Research

by Eric W. Owens, Richard J. Behun, Jill C. Manning, Rory C. Reid
"... The recent proliferation of Internet-enabled technology has sig-nificantly changed the way adolescents encounter and consume sexually explicit material. Once confined to a personal computer attached to a telephone line, the Internet is now available on lap-tops, mobile phones, video game consoles, a ..."
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The recent proliferation of Internet-enabled technology has sig-nificantly changed the way adolescents encounter and consume sexually explicit material. Once confined to a personal computer attached to a telephone line, the Internet is now available on lap-tops, mobile phones, video game consoles, and other electronic de-vices. With the growth of the Internet has come easier and more ubiquitous access to pornography. The purpose of this article was to review the recent (i.e., 2005 to present) literature regarding the impact of Internet pornography on adolescents. Specifically, this literature review examined the impact of Internet pornography on sexual attitudes, beliefs, behaviors, and sexual aggression. The au-thors also discuss the literature related to the influence of sexually explicit Internet material on self-concept, body image, social devel-opment, as well as the expanding body of research on adolescent brain function and physical development. Finally, recommenda-tions for future research were discussed, based on this literature review. The proliferation and mainstreaming of pornography over the last 2 decades, especially through the Internet, have influenced youth culture and adoles-cent development in unprecedented and diverse ways (Löfgren-Mårtenson
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...bited enhanced sensitivity to appetitive cues as measured by differential activation in the ventral striatum compared to prefrontal cortical regions, and this sensitivity varied with appetitive load (=-=Somerville, Hare, & Casey, 2011-=-) Research in the field of information processing also provides insight in to how pictorial stimuli such as pornography may be encoded in cortical regions in a more indelible manner when compared to o...

Impulsivity and the modular organization of resting-state neural networks

by F. Caroline Davis, Annchen R. Knodt, Olaf Sporns, Benjamin B. Lahey, David H. Zald, Bart D. Brigidi, Ahmad R. Hariri - Cerebral Cortex , 2013
"... Impulsivity is a complex trait associated with a range of maladap-tive behaviors, including many forms of psychopathology. Previous research has implicated multiple neural circuits and neurotransmit-ter systems in impulsive behavior, but the relationship between impulsivity and organization of whole ..."
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Impulsivity is a complex trait associated with a range of maladap-tive behaviors, including many forms of psychopathology. Previous research has implicated multiple neural circuits and neurotransmit-ter systems in impulsive behavior, but the relationship between impulsivity and organization of whole-brain networks has not yet been explored. Using graph theory analyses, we characterized the relationship between impulsivity and the functional segregation (“modularity”) of the whole-brain network architecture derived from resting-state functional magnetic resonance imaging (fMRI) data. These analyses revealed remarkable differences in network organ-ization across the impulsivity spectrum. Specifically, in highly impul-sive individuals, regulatory structures including medial and lateral regions of the prefrontal cortex were isolated from subcortical structures associated with appetitive drive, whereas these brain areas clustered together within the same module in less impulsive individuals. Further exploration of the modular organization of whole-brain networks revealed novel shifts in the functional con-nectivity between visual, sensorimotor, cortical, and subcortical structures across the impulsivity spectrum. The current findings highlight the utility of graph theory analyses of resting-state fMRI data in furthering our understanding of the neurobiological architec-ture of complex behaviors.

inhibition

by Author(s M. A. Schel, K. R. Ridderinkhof, E. A. Crone, Margot A Ine A
"... Title Choosing not to act: neural bases of the development of intentional ..."
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Title Choosing not to act: neural bases of the development of intentional

BY

by James Norby Porter , 2013
"... for their years of comradeship, assistance in data collection, and their insights into the delicate processes of neuroimaging analysis. Thank you to all Luciana lab members for your friendship, support, and encouragement. Thank you to my dissertation committee members, Angus MacDonald III, Katie Tho ..."
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for their years of comradeship, assistance in data collection, and their insights into the delicate processes of neuroimaging analysis. Thank you to all Luciana lab members for your friendship, support, and encouragement. Thank you to my dissertation committee members, Angus MacDonald III, Katie Thomas, and Bonnie Kilmes-Dougan, for their insightful comments and invaluable guidance. Last, but not least, thank you to the study participants, without whom none of this work would be possible.

© The Author(s) 2013 Reprints and permissions:

by unknown authors
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...adolescent. To suggest that this period of development is one of nosbrakes or steering wheel (Bell & McBride, 2010) is to greatlysoversimplify it. In a series of recent experiments in our laboratory (=-=Somerville, Hare, & Casey, 2011-=-), we measured selfcontrol using a variant of a go/no-go paradigm that containedssocial cues (positive, negative, or neutral facial expressions).sBy using socially relevant and emotionally salient sti...

Cognitive flexibility in adolescence: Neural and behavioral mechanisms of reward prediction error processing in adaptive decision making during development

by Tobias U Hauser , Reto Iannaccone , Susanne Walitza , Daniel Brandeis , Silvia Brem
"... Adolescence is associated with quickly changing environmental demands which require excellent adaptive skills and high cognitive flexibility. Feedback-guided adaptive learning and cognitive flexibility are driven by reward prediction error (RPE) signals, which indicate the accuracy of expectations ..."
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Adolescence is associated with quickly changing environmental demands which require excellent adaptive skills and high cognitive flexibility. Feedback-guided adaptive learning and cognitive flexibility are driven by reward prediction error (RPE) signals, which indicate the accuracy of expectations and can be estimated using computational models. Despite the importance of cognitive flexibility during adolescence, only little is known about how RPE processing in cognitive flexibility deviates between adolescence and adulthood. In this study, we investigated the developmental aspects of cognitive flexibility by means of computational models and functional magnetic resonance imaging (fMRI). We compared the neural and behavioral correlates of cognitive flexibility in healthy adolescents (12-16 years) to adults performing a probabilistic reversal learning task. Using a modified risk-sensitive reinforcement learning model, we found that adolescents learned faster from negative RPEs than adults. The fMRI analysis revealed that within the RPE network, the adolescents had a significantly altered RPE-response in the anterior insula. This effect seemed to be mainly driven by increased responses to negative prediction errors. In summary, our findings indicate that decision making in adolescence goes beyond merely increased rewardseeking behavior and provides a developmental perspective to the behavioral and neural mechanisms underlying cognitive flexibility in the context of reinforcement learning. Introduction Adolescence is a time when many things in life change at a very high pace. Its start is marked by the onset of puberty, when fundamental physiological alterations take place The reinforcement learning (RL) theory (Sutton and Barto, 1998) suggests that cognitive flexibility and adaptive learning are driven by reward prediction error (RPE) signals. These RPE signals indicate expectation violations. It is well established that RPE-like signals are encoded by dopaminergic midbrain neurons
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...is processed consciously (Nelson et al., 2010; Wheeler et al., 2008). Moreover, the aIns has been associated with processing information about risk (Burke and Tobler, 2011; Ishii et al., 2012; Paulus et al., 2003; Preuschoff et al., 2008). Differences in aIns activity have often been found in the developmental literature. Previous studies found developmental effects during tasks of cognitive flexibility (e.g., Christakou et al., 2009; Rubia et al., 2006; Smith et al., 2011) and in other cognitive domains (Christakou et al., 2011; Jarcho et al., 2012; Keulers et al., 2011; Masten et al., 2009; Somerville et al., 2011; Van Leijenhorst et al., 2010). However, the developmental importance of this area has largely been neglected. Given the wealth of information about aIns functioning, one could speculate about how the increased activity in adolescents might be related to their increased learning rate. It is well known that aIns activity often coincides with activation in the dmPFC (cf. Hauser et al., 2014a, 2014b; Nelson et al., 2010; Seymour et al., 2004). However, it is assumed that the dmPFC is mainly involved in processing cognitive aspects, whereas the aIns rather processes visceral and emotional informa...

Science Current Directions in Psychological The Teenage Brain : Sensitivity to Rewards On behalf of: Association for Psychological Science can be found at: Current Directions in Psychological Science Additional services and information for

by Adriana Galván , Clinton Chapman
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...sitivity. However, there are other, equally important changes in the developing brain that directly and indirectly interact with an individual’s own experience and personality traits to influence proclivity toward reward. For example, the relationship between striatal and prefrontal regions needs closer examination, given the protracted development of the prefrontal cortex (Sowell, Thompson, Holmes, Jernigan, & Toga, 1999) and its critical role in behavior regulation. Numerous investigations have begun to apply functional-connectivity techniques to study the cross-talk between this circuitry (Somerville, Hare, & Casey, 2011), but much more work in this area is needed. In addition, it will be important for future research to delve more deeply into the contextual factors that can have significant sway on an individual’s reward-related decision making. Preliminary studies show that factors such as stress (Galván & McGlennen, 2012; Porcelli & Delgado, 2009), peers (Chein, Albert, O’Brien, Uckert, & Steinberg, 2011), and psychopathology (Morgan, Olino, McMakin, Ryan, & Forbes, 2012) can have consequential effects on reward sensitivity and behavior. Finally, the studies reviewed here provide clear evidence of how rewa...

Rewiring juvenile justice: the intersection of developmental neuroscience and legal policy

by Alexandra O Cohen , B J Casey
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...ter. The neurobiological and psychological immaturity of adolescents may render them more vulnerable to making poor decisions in such contexts. However, this diminished selfcontrol is transient and will continue to develop as underlying circuitry becomes fine-tuned with experience and time. Recent studies examining the development of this circuitry and behavior in the context of emotionally charged and social situations are reviewed below. The influence of emotion The inflection in violence and criminal behavior during adolescence has been suggested to be due to a proclivity toward incentives [5] and risk taking [6]. Yet, criminal behaviors often involve highly charged emotional or threatening situations. Emerging evidence suggests that adolescents have difficulty suppressing attention and actions toward emotional stimuli, even when irrelevant to the task at hand [7,8]. Some adolescents appear to be drawn to cues that signal potential threat (e.g., frightened faces) as evidenced by adolescents, especially males,64impulsively reacting to threat cues (Figure 1B). This pattern of behavior is not observed in adults or children. In a recent study examining brain circuitry implicated in imp...

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by Nim Tottenham, Todd A. Hare, Kristin Hansen Lagattuta, Nim Tottenham , 2011
"... doi: 10.3389/fpsyg.2011.00039 Behavioral assessment of emotion discrimination, emotion regulation, and cognitive control in childhood, adolescence, and adulthood ..."
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doi: 10.3389/fpsyg.2011.00039 Behavioral assessment of emotion discrimination, emotion regulation, and cognitive control in childhood, adolescence, and adulthood

Research Article

by unknown authors
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...l prefrontal regionss(i.e., the inferior frontal gyrus, or IFG) involved in cognitive control and self-regulation (Berkman, Falk, &sLieberman, 2011; Hare, Camerer, & Rangel, 2009; Koberset al., 2010; =-=Somerville, Hare, & Casey, 2011-=-). Method Participants Thirty-three healthy, right-handed female chronic dietersswere recruited from a larger pool of participants whoscompleted the Revised Restraint Scale (Heatherton,sHerman, Polivy...

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