Executive Functions and Adolescent Risk Taking

Executive Functions and Adolescent Risk Taking

Umeå Universitet Institutionen för psykologi D-uppsats ht10 Executive Functions and Adolescent Risk Taking - A dual system approach Louise Falk and Anna Rickardsson Handledare: Timo Mäntylä Executive Functions and Adolescent Risk Taking - A dual system approach Louise Falk and Anna Rickardsson This study examined the relation between executive functioning (EF) and risk taking in adolescents using a dual system approach. According to the dual system perspective adolescents are prone to engage in risky behaviors as a result of an imbalance between the cognitive control system and the affective system (Casey, Getz & Galvan, 2008; Cohen, 2005; Steinberg, 2008; Van Leijenhorst et al., 2010). We investigated both the possible direct impact EF capacity has on risk taking as well as how the developmental trajectory of EF influences adolescent risk taking. 34 participants between 15-18 years of age from a non-clinical group carried out four computerized tasks. Two tasks measured risk taking, the Balloon Analogue Risk Task (BART) and the Columbia Card Task (CCT) and two tasks measured EF, N-back and the Matrix Monitoring Task. The participants had earlier carried out similar EF tasks in 2004 and 2008. The results showed that risk taking tendencies correlated negatively with performance in the EF tasks. No correlation was found between developmental trajectories of EF and risk taking. An alternative explanation for this result is presented. Our findings indicate support for the dual system perspective and we discuss some practical implications of the dual system way of looking at risk taking. Keywords: executive functions; risk taking; adolescence; dual system Studies show that risk taking increases during adolescence and that adolescents risk taking tendencies can be related to a wide variety of dangerous behaviors such as car accidents, drowning, STDs and smoking (Blum & Nelson Mmari, 2004) as well as a heightened risk for drug- and alcohol use (Silveri, Tzolos, Pimentel & Yugelun, 2004; Bates & Labouvie, 1997). Risk taking follows a -shaped trajectory where it is relatively low during childhood, increases and peaks during adolescence and early adulthood and later decreases in adulthood (Figner, Mackinlay, Wilkening & Weber, 2009; Steinberg, 2010). While we know that adolescents are more vulnerable to risk taking compared to children and adults the mechanisms underlying this fact are not fully understood. We will start our study by introducing the general concept of risk taking. Then a newer dual system perspective in adolescent risk taking research will be presented more elaborately. This perspective has gained a lot of support from several different 1 theoretical frameworks that will be briefly presented in order to introduce the current research field. Different perspectives on risk taking Traditional cognitive development research has focused on the assumption that risk taking tendencies during adolescence are due to underdeveloped cognitive capacity among adolescents compared to adults. However, even though higher cognitive functions such as reasoning, metacognitive skills and executive functioning (EF) are not fully developed until late adolescence or early adulthood (Baird & Fugelsang, 2004) there are little evidence that adolescents are inferior to adults when it comes to evaluating risks, consequences, and relative costs and benefits from dangerous behaviors (Beyth-Marom, Austin, Fishoff, Palmgren & Jacobs-Quadrel, 1993; Steinberg, 2008). Since the fact remains that adolescents still take more risks many researchers believe that immature cognitive skills cannot be the only explanation for adolescents risk taking tendencies. Instead, it is reasonable to assume that accelerated risk taking in adolescence is mediated by an interaction of multiple factors, including emotional, social, cognitive and psychobiological development (Boyer, 2006). The concept of risk taking behaviors has been conceptualized in many different ways and could be seen as a quite wide construct. It is often defined in terms of behaviors that are related to a certain likelihood of an unwanted outcome (Boyer, 2006). The concept of risk taking can be applied to a wider variety of behaviors and has been investigated from numerous theoretical frameworks. There exists no general consensus concerning the exact definition of risky behaviors yet gambling, drug-use and behaviors involving physical danger are often mentioned (Leigh, 1999). The research on risk taking often focus on undesirable risk taking behaviors, such as gambling, alcohol use or different types of criminal behaviors (Boyer, 2006). The most frequent method to study risk taking in psychological research has been to use different decision-making tasks in laboratory settings as well as asking individuals about their real life risk behaviors using questionnaires (Figner et al., 2009; Boyer 2006). A large number of different perspectives have been used to examine risk taking in psychological research (Boyer, 2006). Cognitive developmental research, for example, has focused on decision-making skills and how risk is analyzed. Research in the field of emotional development have instead examined the function emotion plays in risk taking and has related it to emotional regulation. Social development research has focused on the context in which risk taking develops and often studied parent- child and peer relationships. Finally, psychobiological research has been concerned with neurological bases of risk taking behaviors. The dual system perspective As the research field has grown, many researchers have underlined the importance of integrating different perspectives when studying risk taking. One perspective that has emerged and acquired support during the past several years is the dual system model of risk taking. This perspective combines cognitive and socioemotional development 2 and their underlying neural mechanisms and characterizes adolescent risk taking as a competition between two systems. Specifically, this dual system perspective focuses on the dynamic interplay between the “hot” affective system and the “cold” deliberative control system (Casey, Getz & Galvan, 2008; Cohen, 2005; Steinberg, 2008; Van Leijenhorst et al., 2010). According to this view, adolescents are prone to take more risks because these two systems develop at different speeds and they are more likely to engage in risky behaviors when the affective system is involved. The affective system is assumed to develop faster and is automatic and spontaneous (Galvan et al., 2006; Galvan et al., 2007; Steinberg, 2008). This socioemotional system is easily triggered in affective laden situations and increases reward-seeking tendencies. It is often activated during situations involving a high degree of emotional as well as social stimuli, such as among peers (Steinberg, 2007). Studies have also shown that areas triggered in such situations are closely related to areas involved in reward processing (Galvan et al., 2005; Nelson, Leibenluft, McClure, & Pine, 2005). The cognitive control system, on the other hand, develops slower and more gradually and is more deliberate and based on rules of logic. It also plays an important part in the ability to self-regulate by inhibiting impulses from the affective system. The cognitive control system has been associated with EF and prefrontal brain areas where EF is localized (e.g., Cohen, 2005; Steinberg, 2007). EF could be seen as an umbrella concept that has been applied to a variety of functions. The EFs that are recurrent in the literature are shifting of mental sets, inhibition of dominant responses and updating and monitoring of working memory (Miyake, Friedman, Emerson, Witziki, Howerter & Wager, 2000; Friedman, Miyake, Young, DeFries, Corley, & Hewitt, 2008) and these EFs are moderately correlated (see Miyake et al., 2000 for a more extensive overview of EF). Because this cognitive control system is not complete until early adulthood this increases vulnerability to risky behavior during adolescence since the affective system overrides the cognitive control system. Support for the dual system perspective Support for the dual-system perspective has been found within a wide array of theoretical frameworks such as neuroimaging, neuropharmacological as well as behavioral sciences. Firstly, evidence from functional magnetic resonance imaging (fMRI) has shown that two different developmental trajectories account for adolescent risk taking (Van Leijenhorst et al., 2010; Casey et al., 2008; Steinberg, 2008). The affective reward related regions follow a ∩-shaped pattern while regions in the brain related to cognitive control follow a linear development. Brain regions such as the nucleus accumbens (NAcc) and amygdala have been associated with reward processing and the affective socioemotional system (Bjork, Knutson, Fong, Caggiano, Bennett, & Hommer, 2004; Ernst et al., 2005; Galvan et al., 2006). Cognitive control functions have been shown to correlate with dorsal anterior cingulated cortex (ACC), and ventral lateral prefrontal cortex (VLPFC) as well as the orbital frontal cortex (OFC) (Galvan et al., 2006; Eshel et al., 2007). Van Leijenhorst et al. (2010) compared four different age groups on a gambling task and could demonstrate a ∩ -shaped curve of activation in NAcc with the peak in adolescence 3 when making high-risk choices. Other support for the dual-system model comes from Galvan et al (2006). Using fMRI they could show that NAcc activity among adolescents were similar but exaggerated when exposed

View Full Text

Details

  • File Type
    pdf
  • Upload Time
    -
  • Content Languages
    English
  • Upload User
    Anonymous/Not logged-in
  • File Pages
    20 Page
  • File Size
    -

Download

Channel Download Status
Express Download Enable

Copyright

We respect the copyrights and intellectual property rights of all users. All uploaded documents are either original works of the uploader or authorized works of the rightful owners.

  • Not to be reproduced or distributed without explicit permission.
  • Not used for commercial purposes outside of approved use cases.
  • Not used to infringe on the rights of the original creators.
  • If you believe any content infringes your copyright, please contact us immediately.

Support

For help with questions, suggestions, or problems, please contact us