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Neuropsychological assessment of the decision making process in children and adolescents: an integrative review of the literature

Abstracts

OBJECTIVE: Nowadays there has been growing interest in the "hot" aspects of the executive functions related to the orbitofrontal cortex (OFC), in particular in the affective decision-making process in children and adolescents. We reviewed the available literature about the evaluation of decision making in children and adolescents. METHOD: We searched for papers published from 2000 to 2009 that studied children and/or adolescents until the age of 16 in the Lilacs and PubMed index. The papers were analyzed according to the paradigms used in the studies, the conclusions about the development of the decision-making process, and the ability to distinguish between the clinical population and the controls. RESULTS: Thirty-six papers were selected. Compared to the amount of studies of adults, there are still few studies focusing on children and adolescents. Several versions derived from the IGT were developed in order to study decision-making processes in children and adolescents. DISCUSSION: The IGT is the most used instrument. In preschoolers, simplified versions have been used with greater frequency. The different paradigms are useful in differentiating between normal and psychiatric disorder patients. The results are positively and significantly related to the frequency of impulsive behaviors in nonclinical populations.

Decision-making; Iowa Gambling Task; executive functions; cognitive development


OBJETIVO: Atualmente, tem havido um interesse crescente nos aspectos "quentes" das funções executivas relacionados ao córtex orbitofrontal, em particular na tomada de decisão afetiva em crianças e adolescentes. Revisamos a literatura sobre a avaliação da tomada de decisão em crianças e adolescentes utilizando o paradigma do Iowa Gambling Task e derivados. MÉTODO: Pesquisamos artigos publicados de 2000 a 2009, indexados no Lilacs e no PubMed e que estudaram crianças e/ou adolescentes até 16 anos. Os artigos foram analisados de acordo com os paradigmas utilizados nos estudos, as conclusões sobre o desenvolvimento no processo de tomada de decisão e a capacidade de distinção entre a população clínica e os controles. RESULTADOS: Trinta e seis artigos foram selecionados. Os estudos envolvendo crianças e adolescentes ainda são poucos quando comparados àqueles realizados com população adulta. Foram desenvolvidas diversas versões derivadas do paradigma IGT a fim de estudar a tomada de decisão em crianças e adolescentes. CONCLUSÃO: O IGT é o instrumento mais utilizado. Em pré-escolares, versões simplificadas têm sido utilizadas com maior frequência. Os diferentes paradigmas se mostram úteis na diferenciação entre sujeitos normais e com transtornos psiquiátricos. Os resultados se relacionam de forma positiva e significativa com a frequência de comportamentos impulsivos em populações não clínicas.

Tomada de decisão; Iowa Gambling Task; funções executivas; desenvolvimento cognitivo


REVIEW

IDepartamento de Psicologia da Universidade Federal de Minas Gerais (UFMG)

IIDepartamento de Psiquiatria da UFMG

IIIPrograma de Pós-Graduação em Neurociências da UFMG

IVUniversidade Fundação Mineira de Educação e Cultura (Fumec)

VInstituto de Psiquiatria da Universidade Federal do Rio de Janeiro (UFRJ)

VIInstituto de Psiquiatria da Universidade de São Paulo (USP)

Address correspondence to

ABSTRACT

OBJECTIVE: Nowadays there has been growing interest in the "hot" aspects of the executive functions related to the orbitofrontal cortex (OFC), in particular in the affective decision-making process in children and adolescents. We reviewed the available literature about the evaluation of decision making in children and adolescents.

METHOD: We searched for papers published from 2000 to 2009 that studied children and/or adolescents until the age of 16 in the Lilacs and PubMed index. The papers were analyzed according to the paradigms used in the studies, the conclusions about the development of the decision-making process, and the ability to distinguish between the clinical population and the controls.

RESULTS: Thirty-six papers were selected. Compared to the amount of studies of adults, there are still few studies focusing on children and adolescents. Several versions derived from the IGT were developed in order to study decision-making processes in children and adolescents.

DISCUSSION: The IGT is the most used instrument. In preschoolers, simplified versions have been used with greater frequency. The different paradigms are useful in differentiating between normal and psychiatric disorder patients. The results are positively and significantly related to the frequency of impulsive behaviors in nonclinical populations.

Keywords: Decision-making, Iowa Gambling Task, executive functions, cognitive development.

Introduction

Executive functions consist of an integrated set of cognitive processes that allows an individual to set behaviors to achieve goals, to assess the effectiveness and appropriateness of these behaviors, abandoning those that prove ineffective for those most adaptive, and thus to solve immediate problems from the medium to the long term. According to Lezak et al.1, executive functions involve many serial components such as volition, planning, purposive action and effective performance. According to Welsh and Pennington2, the components of executive functions are: a) the ability to inhibit or delay a response, b) the strategic planning of the sequence of actions, and c) the maintenance of a mental representation of a task, including information about the relevant stimuli and the desired goal.

Traditionally, researches related to executive functions in humans have focused almost exclusively on purely cognitive components, called "cool" and often associated with the circuitry involving the dorsolateral prefrontal cortex. However, special attention has recently, been given to emotional aspects of the executive functions, called "hot", and often associated with the circuitry involving the orbitofrontal cortex, in special the process of decision-making3. Whereas the cool executive functions are related to abstract problems, the executive functions called "hot" are required in resolving problems involving affection and motivation4.

Decision-making can be defined as the process of choosing between two or more competing alternatives requiring analysis of costs and benefits of each option and the estimation of its consequences in the short, medium and long term. As the results of our decisions are uncertain, we can say that the process of decision making involves risk analysis. The ability to control impulses is closely related to decision-making since, in the threefold model of Patton et al.5, lack of planning impulsiveness reflects the tendency to make immediate decisions without considering medium and long term consequences. Thus, we can say that decision making is essential to the social adaptation of an individual and it is particularly difficult when there is a greater need to weigh rewards and/or immediate and future losses.

In the last two decades, the process of decision making has received considerable attention especially after the publication of studies such as those of Damasio, Bechara and colleagues. In an initial study, Bechara et al.6 compared the performance of patients with lesions in the ventromedial prefrontal cortex with healthy subjects in the Iowa Gambling Task (IGT). The IGT involves several different cognitive processes, in particular working memory, impulse control, ability to estimate probabilities, and reversal learning7.

The Iowa Gambling Task consists of four decks of cards labeled "A", "B", "C" and "D". All decks lead to a fictitious financial reward for each choice. Decks "A" and "B" bring significantly higher rewards than decks "C" and "D" (twice the value). Some decks, however, also lead to a financial loss. In decks "A" and "C", the punishments are more frequent but of smaller magnitude, as they hold more cards with losses of smaller magnitude. In decks "B" and "D" the punishments are less frequent but of greater magnitude, as they contain fewer cards of great magnitude losses. Decks "A" and "B" are disadvantageous in the long run, leading to a financial loss whereas decks "C" and "D" are advantageous in the long run, leading to a financial gain. Before beginning the task, the subject is given a credit of $ 2,000.00 (play money), which must be bet through the choice of cards. Participants are required to accumulate the largest amount of money possible. They are also told that the examiner will indicate the end of the game (the task finishes after the subject makes one hundred choices). It is believed that due to the unpredictability of the patterns of punishment and reward, the task is able to simulate real-life decision-making conditions.

During the course of the task healthy individuals progressively develop the strategy of selecting cards from decks C and D, resulting in greater long-term gains. Patients with lesions in the ventromedial prefrontal cortex do the opposite by selecting more cards from decks A and B, resulting in disadvantages in the long run6,8 despite the higher immediate gains. This pattern of results was called "myopia for the future"9 and it is characterized by a focus on immediate results, disregarding future consequences.

In a study aiming to determine if results were due to insensitivity to punishment, patients and controls were also assessed using the reverse version of the task10. In this reversed gambling task, the decks are characterized by constant punishment and unpredictable rewards. Again, the healthy controls selected more cards from the advantageous decks whereas the patients opted for the cards from the disadvantageous decks. These findings confirmed the interpretation of "myopia for the future".

Studies with patients with lesions in the ventromedial prefrontal cortex have highlighted the importance of the ventromedial/orbitofrontal circuitry for success in tasks involving the process of decision-making6. In addition to patients with ventromedial lesions, other clinical groups characterized by pathophysiological changes in prefrontal circuits, such as patients with Schizophrenia11, Attention Deficit Hyperactivity Disorder (ADHD)12-14, Bipolar Disorder15 and Obsessive Compulsive Disorder16 demonstrate difficulties in the IGT, according to some studies. In nonclinical populations, behaviors characterized by changes in impulsivity (such as those involving multiple school suspensions) have also been connected to disadvantageous choices in the IGT17.

Since the preschool period is characterized by a significant development of the prefrontal cortex3, we can expect that the skills related to decision-making are not yet completely developed in childhood. Although it is believed that maturation of the frontostriatal circuits and their connections cannot occur completely until early adulthood18, alterations in the development of these circuits have been associated with functional impairment in several developmental disorders19.

Adolescence is a period in which the neural and physical developments are intensified by the demands of the environment and the behavioral changes common in this period, such as the propensity to take risks, appear to be associated to neural immaturity20. In the end of childhood, the still immature skills associated to decision making processes may contribute to the appearance of behaviors that lead, for example, to alcohol and drug abuse21. The disadvantageous decision-making events noticed in adolescents with schizophrenia can be explained by the presence of micro structural abnormalities in the orbitofrontal cortex11.

In order to evaluate decision-making processes in children and adolescents, several variations of the Iowa Task Gambling were developed to adapt it to the targeted age groups.

Although there are many studies about the performance of adults on the Iowa Gambling Task, the number of studies related to decision-making in childhood and adolescence is still considerably low. The recent and rising interest in this area can be confirmed by the increasing number of scientific publications at the end of the last decade. The purpose of this article is to review the literature concerning the assessment of decision-making processes in children and adolescents up to the age of sixteen. In addition, the present study aims to evaluate the development of decision-making processes in children and adolescents from data obtained from different tasks used to assess decision-making by comparing the performance of normal children and that of children with neuropsychiatric disorders in this cognitive modality.

Methodology

This study is an integrative literature review. According to Whittemore22, an integrative review allows the inclusion of studies that used different types of methodologies (such as experimental and non-experimental research) in order to contribute to the presentation of a variety of perspectives - review of theories or evidences, definition of concepts, analysis of methodologies - on a particular topic in an attempt to interconnect isolated elements from available studies.

According to Ganong23, the process of elaboration of the integrative review consists of several stages. The first stage is characterized by the hypotheses or questions to be answered. In the second stage, the databases and research that will provide the review sample are selected. After this stage, the description of the studies that will comprise the review sample is made. In the last two stages that of the process of elaboration of the integrative review, the results are interpreted and final report is made.

To guide the integrative review, the following questions were asked: What paradigms for the assessment of decision making are used in studies with children and adolescents aged up to sixteen years old? How can the development of the decision-making process in normal children and adolescents be characterized using data obtained from paradigms for the assessment of decision-making processes? Can the tasks associated to decision-making distinguish performance of normal children and adolescents from that of subjects with neuropsychiatric disorders?

The present study included all the papers about the paradigms for the assessment of decision making used in studies with children and adolescents aged up to sixteen in the period of January 1, 2000, to December 31, 2009, indexed in Lilacs and PubMed.

In order to refine this review, the sample was defined according to the following criteria:

- papers available in the database of PubMed and Lilacs;

- papers in English, Portuguese and Spanish with abstracts available in the database mentioned above for the period of January, 1 2000 to December 31, 2009;

- papers in which the sample was comprised of children and/or adolescents aged up to sixteen;

- papers that clearly established that the paradigm used to assess decision-making was the Iowa Gambling Task or one derived from it;

- papers indexed by the following terms, individually or in associations: decision-making/Iowa gambling task.

The established exclusion criterion was:

- literature review articles or case studies.

During the selection process, some articles were disqualified as they did not meet the inclusion criteria. We performed a search in the Pubmed database using the terms "decision making" and "Iowa gambling task" and found 238 articles.

After the initial reading of the abstracts obtained, 42 papers were discarded based on the presented criteria given that: 1) 11 papers were not published within the time limits established in this study; 2) 4 papers referred to studies with samples that included both human and animals; 3) 15 papers described studies performed with samples whose participants were older than sixteen, 4) 8 papers had no original data (narrative reviews, editorials, commentary, and clinical notes), 5) 3 were case studies, and 6) one paper was written in Chinese.

Among the 196 remaining articles, 33 were not evaluated because they were not available at the Portal Capes Journal or at the University of Wisconsin. The reading of the 163 remaining papers allowed selection of the 21 articles used in this review, and the exclusion of the other 142, because: a) 139 were conducted with subjects older than sixteen, b) two of them did not inform the age of the participants, c) one of them was performed on humans and rodents, and d) one was a literature review.

The research done in the Lilacs database using the same criteria resulted in four papers. None of them has been selected since three of them were performed on groups above the age limits and one of them was a literature review.

Then a reverse search was conducted from the references of the 21 selected papers to identify articles not found initially. After this verification other 15 papers were identified. At the end of the selection process of papers, 36 studies were included in the sample.

Results

Among the 36 articles reviewed, 13 (36.11%) were published between 2001 to 20053,17,24-34 and 23 (63.89%) between 2006 and 200911,35-56. Thirteen of the selected papers are from the United States3,11,20,29,31,34,36,40,45,47,50,54,56 , six from Canada17,24,32,38,42-44,55, five from the Netherlands17,25,30,33,37,41, three from China21,50,51, two from the UK21,48 and one from each of the following countries: Australia39, Finland28, Israel56, Japan49 and Romania53.

Regarding the first objective of this review, the gathering of paradigms used for the evaluation of decision making processes addressed in studies with children and adolescents aged up to sixteen, it was observed that most studies related to the development of decision making used the Iowa Gambling Task or similar versions adapted for children and adolescents. Table 1 summarizes the different paradigms used to assess decision-making found.

Among the studies reviewed, only eleven used the Iowa Gambling Task to assess decision-making11,20,21,26,29,47-49,51,52,54 . Seven of them used variations very similar to the original task in which there were small changes in the amount of the loan, gains and punishments after the choices17,28,31,32,36,40,44. Five used only the Children Gambling Task, proposed by Kerr and Zelazo3,34,45,53,55. Five studies used the task of decision making proposed by Garon and Moore24,35,38,42,43. Yet three other studies used some of the versions of the Hungry Donkey Task, developed by Crone and Van der Molen25,37,41. The study by Crone and Van der Molen used, in addition to the standard and reversion versions of the Hungry Donkey Task, three different versions of the task (with different forms of feedback) while the study by Crone et al.33 used the following tasks: a) Iowa Gambling Task in the forward and backward versions; b) versions of the standard and reverse Hungry; Donkey Task and c) three different versions of the task (with different quantities of choice alternatives and percentage of punishment). Nevertheless the study by Bunch et al.39 used, besides the Children Gambling Task, two less complicated versions of the task. The research of Gao et al.50 used a version similar to the Children Gambling Task, in which changes were made in the disadvantageous deck. Yechiam et al.56 used, in addition to the standard version of the Iowa Gambling Task, a task that was modified from the original one and developed by the authors of the study.

Among the 36 studies, 15 investigated the performance of children with a neuropsychiatric diagnosis (or maladaptive behavior pattern typical of psychopathology in childhood and adolescence)11,17,25,27,32,35,36,45-49,56,57,61 . Table 2 presents the description of all the papers, considering the paradigm used, the study sample, the experimental design, the main results and the level of evidence generated by the study.

Discussion

Description of the paradigms used for decision making evaluation in children and adolescents:

We can notice that, despite the growing number of variations of IGT developed from the original task, the classic version is still the most widely used both in studies on the normal development of skills related to decision making and on clinical studies. It is worth mentioning that IGT is used mainly in samples with subjects whose age is equal to or older than seven years old. Adaptations of IGT are generally used in studies with children under the age of sixteen to facilitate understanding of the task.

Development of skills associated with decision making in childhood and adolescence in normal children

Researches using the Iowa Gambling Task (and its variants for evaluation in childhood and adolescence) suggest the progressive development of skills linked to decision making processes in childhood and adolescence26,29-31,33, 37,40,41,44. In particular, these studies showed that children aged six and twelve years old select more cards from disadvantageous decks while adolescents aged thirteen to seventeen years old learn to select the cards from the advantageous decks during the task. These data suggest that children are more sensitive to immediate rewards. Furthermore, these findings are consistent with recent studies on brain development, which showed that pre-frontal circuits are among the last brain structures to mature both structurally and functionally. The difficulty that children demonstrated to learn to choose the cards from the advantageous decks resembles the difficulties presented by patients with amygdale or orbitofrontal30 lesions and therefore they also seem to have, at some level, "myopia for the future".

The age at which children begin to differentiate the advantageous from the disadvantageous cards seems to depend on the characteristics of the task associated to the decision-making processes used. In the study carried by Kerr e Zelazo3, children under four years old, for example, made more advantageous choices than it would be expected if they had performed just random choices in the task proposed by the authors of the study, the Children Gambling Task, comprised of two decks of fifty cards each. However, Luman et al.57 suggest that CGT does not reflect daily decision making processes since the rejection of a choice leads automatically to the selection of the other choice.

In the study carried by Bunch et al. 39, the complexity of CGT was evaluated by introducing two less complicated versions of the task. At first, the gains are kept constant between the two decks and only losses vary. In the second, the opposite occurs, and only the gains vary. Children aged three to five years old were successful when the complexity of the task was reduced, but only five-year-old children have clearly demonstrated domain of the version developed by Kerr & Zelazo3. In a study carried by Garon & Moore38, who used a modified task from IGT in which four blocks of cards holding drawings of bears and tigers (the bears indicate gain and the tigers indicate loss) were adopted, children under four were not able to significantly make more advantageous choices.

Regarding the difference in performance between boys and girls, the results are still controversial. Although some studies that investigated the difference between pre-school boys and girls in tasks related to decision making found no significant differences between sexes3,29,34, girls made more advantageous choices than boys in the study carried by Garon & Moore24. Moreover, male adolescents appear to have a better performance than female adolescents26,29. Differences in the approaches of these studies may explain the heterogeneity of the results.

According to Van Leijenhorst et al.58, comparisons between studies indicate that the performance of adolescents is not yet equal to that of adults. These findings indicate that the ability to distinguish between advantageous and disadvantageous decks is still developing in adolescence26,31.

Indeed, despite the fact that complete maturation of decision-making abilities is only achieved by late adolescence, early assessment of these skills can be useful in identifying difficulties in the decision process, considering that the executive functions of the type "hot" are highly connected to non-adaptive behavior in children and adolescents such as school suspension17,27, smoking and alcohol use46,47.

Despite the lack of longitudinal studies that assessed the relationship between decision making and adaptive behaviors in adolescence and adulthood, some studies on other executive "hot" functions such as the delaying of gratification lead to a predictive relationship between early development of this type of executive function and future adaptive behavior. For example, Mischel et al.64 noted that at the age of 4, the decision to wait to receive a greater reward could positively predict social and cognitive skills, the ability to cope with adverse affective situations, and the performance on academic attitude tests during adolescence.

The performance of preschoolers in delaying gratification tasks was also able to predict a more efficient performance on tests of inhibitory control at the age of eighteen63,65. Therefore, the assessment of difficulties in executive "hot" function tasks in children has potential application in the identification of deficits and risks related to social and adaptive skills in the short and medium/long term. However, longitudinal studies about the relationship between initial development in decision-making processes and adaptive outcomes in the late teens are necessary.

Comparison between clinical groups (or maladaptive behavior) and normal children on tests of decision-making

Among the articles reviewed, four of them are studies in which the sample is composed of children and/or adolescents with attention deficit hyperactivity disorder (ADHD)57,59-61. ADHD is characterized by some as a disorder of executive functions. Children with ADHD have many difficulties in executive functions, and deficits in inhibitory function are considered the most important in one of the main theories explaining this disorder59. ADHD can also be explained by difficulties in learning schemes of reinforcement57 and in delaying the reward or in dealing with long waiting intervals60. Thus, one can say that individuals with ADHD constitute an important clinical group for the understanding of the skills related to decision-making.

Although Geurts et al.61 have suggested that children with ADHD do not switch strategies in response to punishment in the same way as healthy subjects do, the differences between the performance of controls and children with Attention Deficit Disorder and Hyperactivity in the used gambling task were not significant. According to Masunami et al.49, children with ADHD and healthy children may have different strategies and patterns of choice, which are hardly detectable by the number of cards selected from the advantageous decks. Since Luman et al.57 proposed that children with ADHD have increased sensitivity to immediate reinforcement; the differences in strategies related to decision-making processes may be the result of changes in sensitivity to reinforcement and punishment49.

In a study carried by Garon et al.35, two groups of children aged six to thirteen were evaluated. The first group was composed of 21 children with ADHD, while 10 of these children were diagnosed as depressed or very anxious and 11 as a little anxious and depressed (only with ADHD), and the second group was composed of healthy children. The findings of this study showed that children with ADHD only chose significantly fewer cards from decks with less immediate rewards and have learned over time. In contrast, children in the clinical group with high rates of anxiety and depression symptoms were able to perform better on the task of gambling compared with children with only ADHD. The authors of this study suggest that the presence of an internalizing disorder may have a protective effect on children with ADHD when dealing with schedules of reinforcement learning over time. In the study carried by Toplak et al.32 with adolescents aged 13 to 18, adolescents with ADHD made less advantageous selections than the controls. It must be emphasized that Bubier and Drabick45 also found poorer performance related to affective decision-making in boys with externalizing disorder symptoms, using the Children Gambling Task. The authors suggest that, at least in male children, the symptoms of Oppositional Defiant Disorder and ADHD are related to more immediate decisions, which may be associated with an attenuation of the autonomic sympathetic response, thus reinforcing the role of somatic markers in decision making.

Children with externalizing behavior disorders such as attention deficit disorder and hyperactivity (ADHD) and conduct disorder, are likely to present disadvantageous decision-making results due to impulsivity, aversion to delay gratification, intensified sensitivity to immediate reward and a propensity for risky behaviors57,59,60. These conditions contribute to a higher incidence of disorders related to substances used among those adolescents than among the general population60, which exemplifies the relationship between difficulties in decision-making processes and maladaptive behaviors in children and adolescents with psychopathology.

Besides children and adolescents with ADHD, studies about the following populations were found in this literature review: a) adolescents with behavioral problems and/or who received suspensions in school17,27; b) adolescents with a history of alcohol and/or cigarette abuse when compared with individuals of similar age, but without history of drug abuse46,47; c) adolescents with schizophrenia11; d) adolescents with high disinhibition25; and e) adolescents who exhibit behaviors of current self-mutilation compared with those who have had this type of behavior48; f) children diagnosed with Asperger syndrome36 or any disorder within the autism spectrum56. In all studies mentioned above, atypical choice pattern indicative of difficulties in decision making in clinical groups (and maladaptive behaviors) compared with children and adolescents with typical behavior can be verified.

Thus, it is observed that difficulties in decision-making are related to psychopathology and/or maladaptive behaviors. Studies with adolescents who demonstrate behaviors of current self-mutilation compared with those who have had this type of behavior48 exemplify this relationship. The decision-making skills seem to have a direct relationship with the recent of episodes of self-mutilation. Adolescents who had self-mutilation behaviors have demonstrated deficits in decision-making skills, marked by a greater attraction for more immediate and rewarding solutions than individuals that showed self-mutilation in the past48.

Different clinical or maladaptive behavior populations share difficulties concerning affective decision-making. Changes in the development of the prefrontal circuits are common in the aforementioned disorders and are associated with difficulties in executive "hot" function tasks3. Thus, deficits in decision-making skills do not seem to be specific to a particular clinical population, but common to several diseases associated with impaired prefrontal lobe14. It must be emphasized that some disorders such as generalized anxiety disorder seem to exert a protective effect on the process of decision making in children with attention deficit disorder and hyperactivity35. To evaluate this effect of anxiety on the process of decision making, further studies to evaluate these findings in other pathologies in which generalized anxiety disorder appears as co-morbidity are needed.

We can see from the findings reported that the evaluation of decision making skills in children and adolescents, besides useful in the clinical characterization of different psychopathologies, has also a potential use as an indicator of function and social adaptation within each disorder17,27,46,47,48,51,54. Additional investigations about this relationship in children and adolescents with psychiatric disorders are needed.

Conclusion

Despite the increasing use of evaluation paradigms of decision-making skills derived from IGT in children and adolescents samples, we can notice that the frequency of these studies is still much lower if compared with those performed on adult subjects62.

However, the findings reported here are consistent not only with the beneficial effect of age on performance but also with the suitability of such tasks for discriminating children and adolescents with neuropsychiatric disorders and/or maladaptive behaviors. These data reinforce the potential for clinical use of tests involving decision making in this age group; however this use should be preceded by studies on psychometric properties of IGT and its variants. Future studies using these paradigms of assessment should also take into account the impact of other variables involving personality, mood, motivation, and socio-demographic characteristics in order to enable a better understanding of their performance determinants.

We consider that the present study, though limited to scientific literature published between 2000 and 2009, included a significant portion of literature on evaluating paradigms of decision-making processes in children and adolescents since we have found no publications prior to 2000 that fit the search criteria of this review. Furthermore, we can see a growing interest in the topic of evaluation of decision making in children and adolescents as 63% of papers reviewed here were published in the last four years. Thus, it appears that the study of the evaluation of the process of decision making in childhood and adolescence is a relatively recent area and one of growing interest in developmental neuropsychology.

From the data presented, it is evident the importance of paradigms for evaluating the process of decision making both to the study of the development of such cognitive functions and to the two potential clinical applications in the field of diagnosis and in the structuring of plans to prevent and treat maladaptive behaviors in normal and psychopathology populations.

References

  • 1. Lezak MD. Neuropsychological assessment. 3rd ed. New York: Oxford University Press; 1995.
  • 2. Welsh MC, Pennington BF. Assessing frontal lobe functioning in children: Views from developmental psychology. Develop Neuropsychol. 1988;4(3):199-230.
  • 3. Kerr A, Zelazo PD. Development of "hot" executive function: the Children's Gambling Task. Brain Cogn. 2004;55(1):148-57.
  • 4. Zelazo PD, Muller U. Handbook of childhood cognitive development. Oxford, UK: Blackwell; 2002.
  • 5. Patton JH, Stanford MS, Barratt ES. Factor structure of the Barratt Impulsiveness Scale. J Clin Psychol. 1995;51:768-74.
  • 6. Bechara A, Damasio AR, Damasio H, Anderson SW. Insensitivity to future consequences following damage to human prefrontal cortex. Cognition. 1994;50(1-3):7-15.
  • 7. Fellows LK, Farah MJ. Different underlying impairments in decision-making following ventromedial and dorsolateral frontal lobe damage in humans. Cerebral Cortex. 2005;15(1):58-63.
  • 8. Bechara A, Damasio H, Tranel D, Damasio AR. Deciding advantageously before the advantageous strategy. Science. 1997;275:1293-5.
  • 9. Bechara A, Dolan S, Hindes A. Decision-making and addiction (part II): myopia for the future or hypersensitivity to reward? Neuropsychologia. 2002;40(10):1690-705.
  • 10. Bechara A, Tranel D, Damasio H. Characterization of the decision-making deficit of patients with ventromedial prefrontal cortex lesions. Brain. 2000;123(11):2189-202.
  • 11. Kester HM, Sevy S, Yechiam E, Burdick KE, Cerveillione KL, Kumra S. Decision-making impairments in adolescents with early-onset schizophrenia. Schizophr Res. 2006;85(1):113-23.
  • 12. Malloy-Diniz L, Fuentes D, Borges Leite W, Correa H, Bechara A. Impulsive behavior in adults with attention deficit/hyperactivity disorder: characterization of attentional, motor and cognitive impulsiveness. J Int Neuropsychol Soc. 2007;13(4):693-8.
  • 13. Malloy-Diniz L, Borges Leite W, Moraes PH, Correa H, Bechara A, Fuentes D. Brazilian Portuguese version of the Iowa Gambling Task: transcultural adaptation and discriminant valitidy. Rev Bras Psiquiatr. 2008;30(2):144-8.
  • 14. Borges M, Coutinho G, Miele F, Malloy-Diniz LF, Rabelo B, Martins R, et al. Developmental and acquired dysexecutive syndromes in clinical practice: three case-reports. Rev Psiq Clín. 2010;37(6):285-90.
  • 15. Malloy-Diniz L, Neves FS, Abrantes SSC, Fuentes D, Correa H. Suicide behavior and neuropsychological assessment of type I bipolar patients. J Affect Dis. 2009;112(1):231-6.
  • 16. Da Rocha FF, Correa H, Bechara A. Obsessive-compulsive disorder and immunology: a review. Prog Neuropsychopharmacol Biol Psyquiatry. 2008;32(5):1139-46.
  • 17. Stanovich KE, Grunewald M, West RF. Cost-benefit reasoning in students with multiple secondary school suspensions. Pers Individ Dif. 2003;35(5):1061-72.
  • 18. Gogtay N, Giedd JN, Lusk L, Hayashi KM, Greenstein D, Vaituzis AC, et al. Dynamic mapping of human cortical development during childhood through early adolescence. Proc Natl Acad Sci U S A. 2004;101(21):8174-9.
  • 19. Bradshaw, John L. Developmental disorders of the frontostriatal system: neuropsychological, neuropsychiatric, and evolutionary perspectives. East Sussex: Psychology Press Ltd; 2001.
  • 20. Ernst M, Grant SJ, London ED, Contoreggi SJ, Kimes AS, Spurgeon L. Decision making in adolescents with behavior disorders and adults with substance abuse. Am J Psychiatry. 2003;160:33-40.
  • 21. Xiao L, Bechara A, Cen S, Grenard JL, Stacy AW, Gallaher P, et al. Affective decision-making deficit, linked to a dysfunctional ventromedial prefrontal cortex, revealed in 10th-grade Chinese adolescent smokers. National Institute of Health. 2009;15:547-57.
  • 22. Whittemore R. The integrative review: updated methodology. J Adv Nurs. 2005;52(5):546-53.
  • 23. Ganong LH. Integrative reviews of nursing research. Res Nurs Health. 1987;10:1-11.
  • 24. Garon N, Moore, C. Complex decision-making in early childhood. Brain Cogn. 2004;55:158-70.
  • 25. Crone EA, Vendel I, Van der Molen MW. Decision-making in disinhibited reward? Pers Individ Dif. 2003;35:1635-41.
  • 26. Blair RJR, Colledge E, Mitchell DGV. Somatic markers and response reversal: Is there orbitofrontal cortex dysfunction in boys with psychopathic tendencies? J Abnorm Child Psychol. 2001;29(6):499-511.
  • 27. Ernst M, Grant SJ, London ED, Contoreggi CS, Kimes AS, Spurgeon L. Decision making in adolescents with behavior disorders and adults with substance abuse. Am J Psychiatry. 2003;160(1):33-40.
  • 28. Letho JE, Elorinne E. Gambling as an executive function task. Appl Neuropsychol. 2003;10(4):234-8.
  • 29. Overman WH. Sex differences in early childhood, adolescence, and adulthood on cognitive tasks that rely on orbital prefrontal cortex. Brain Cogn. 2004;55(1):134-47.
  • 30. Crone EA, Van der Molen MW. Developmental changes in real life decision making: performance on a gambling task previously shown to depend on the ventromedial prefrontal cortex. Develop Neuropsychol. 2004;25(3):251-79.
  • 31. Hooper CJ, Luciana M, Wahlstrom D, Conklin HM, Yarger RS. Personality correlates of Iowa Gambling Task performance in healthy adolescents. Pers Individ Dif. 2008;44:598-609.
  • 32. Toplak ME, Jain U, Tannock R. Executive and motivational processes in adolescents with attention-deficit-hyperactivity disorder (ADHD). Behav Brain Funct. 2005;1(8):1-12.
  • 33. Crone EA, Bunge SA, Latesntein H, Van der Molen MW. Characterization of children's decision-making: sensivitity to punishment frequency, not task complexity. Child Neuropsychol. 2005;1:245-263.
  • 34. Hongwanishkul D, Happaney KR, Lee WSC, Zelazo PD. Assessment of hot and cool executive function in young children: age-related changes and individual differences. Dev Neuropsychol. 2005;28(2):617-44.
  • 35. Garon N, Moore C, Waschbusch DA. Decision-making in children with ADHD Only, ADHD-anxious/depressed, and control children using a child version of the Iowa Gambling Task. J Atten Dis. 2006;9(4):607-19.
  • 36. Johnson SA, Yechiam E, Murphy RR, Queller S, Stout JC. Motivational processes and autonomic responsitivity in Asperger's disorder: evidence from the Iowa Gambling Task. J Int Neuropsychol Soc. 2006;12:668-76.
  • 37. Crone EA, Van der Molen MW. Development of decision making in school-aged children and adolescents: evidence from heart rate and skin conductance analysis. Child Dev. 2007;78(4):1288-301.
  • 38. Garon N, Moore C. Negative affectivity predicts individual differences in decision making for preschoolers. J Genet Psychol. 2007;167(4):443-62.
  • 39. Bunch KM, Andrews G, Halford GS. Complexity effects on the children's gambling task. Cogn Dev. 2007;22:376-83.
  • 40. Olson EA, Hooper CJ, Collins P, Luciana M. Adolescents' performance on delay and probability discounting tasks: contributions of age, intelligence, executive functioning, and self-report externalizing behavior. Pers Individ Dif. 2007;43:1886-97.
  • 41. Huizenga HM, Crone EA, Jansen BG. Decision-making in healthy children, adolescents and adults explained by the use of increasingly complex proportional reasoning rules. Dev Sci. 2007;10(6):814-25.
  • 42. Garon N, Moore C. Awareness and symbol use improves future-oriented decision making in preschoolers. Dev Neuropsychol. 2007;31(1):39-59.
  • 43. Garon N, Moore C. Developmental and gender differences in future-oriented decision-making during the preschool period. Child Neuropsychol. 2007;13:46-63.
  • 44. Hooper CJ, Luciana M, Conklin HM, Yarger RS. Adolescents' performance on the Iowa Gambling Task: implications for the development of decision-making and ventromedial prefrontal cortex. Dev Psychol. 2004;40(6):1148-58.
  • 45. Bubier JL, Drabick DAG. Affective decision-making and externalizing behaviors: the role of autonomic activity. J Abnorm Child Psychol. 2008;36:941-53.
  • 46. Xiao L, Bechara A, Grenard LJ, Stacy WA, Palmer A, Wei Y, et al. Affective decision-making of Chinese adolescent drinking behaviors. J Int Neuropsychol Soc. 2009;15:547-57.
  • 47. Johnson CA, Xiao L, Palmer P, Sun P, Wang Q, Wei Y, et al. Affective decision-making deficits, linked to a dysfunctional ventromedial prefrontal cortex, revealed in 10th grade Chinese adolescent binge drinkers. Neuropsychologia. 2008;46:714-26.
  • 48. Oldershaw A, Grima E, Jollant F, Richards C, Simic M, Taylor L, et al. Decision making and problem solving in adolescents who deliberately self-harm. Psychol Med. 2009;39:95-104.
  • 49. Masunami T, Okazaki S, Maekawa H. Decision-making patterns and sensitivity to reward and punishment in children with attention-deficit hyperactivity disorder. Int J Psychophysiol. 2009;72:283-8.
  • 50. Gao S, Wei Y, Bai J, Lin C, Li H. Young children' affective decision-making in a gambling task: does difficulty in learning the gain/loss schedule matter? Cogn Dev. 2009;24:183-91.
  • 51. Xiao L, Bechara A, Grenard LJ, Stacy WA, Palmer P, Wei Y, et al. Affective decision-making predictive of Chinese adolescent drinking behavior. J Int Neuropsychol Soc. 2009;15(4):547-57.
  • 52. Gao Y, Baker LA, Raine A, Wu H, Bezdjian SA. Brief report: interaction between social class and risk decision-making in children with psychopathic tendencies. J Adolesc. 2009;32(2):409-14.
  • 53. Heilman RM, Miu AC, Benga O. Developmental and sex-related differences in preschoolers' affective decision making. Child Neuropsychol. 2009;15:73-84.
  • 54. Janis IB, Nock MK. Are self-injures impulsive? Results from two behavioral laboratory studies. Psychiatry Res. 2009;169(3):261-7.
  • 55. Morrongiello BA, Lasenby-Lessard J, Corbett M. Children's risk in a gambling task and injury-risk situation: evidence for domain specificity in risk decisions. Pers Individ Dif. 2009;46(3):298-302.
  • 56. Yechiam E, Arshavsky O, Shamay-Tsoory SG, Yaniv S, Aharon J. Adapted to explore: reinforcement learning in autistic spectrum disorder. Brain Cogn. 2009;72(2):317-24.
  • 57. Luman M, Oosterlaan J, Knol DL, Sergeant JA. Decision-making in ADHD: sensitive to frequency but blind to the magnitude of penalty. J Child Psychol Psychiatry. 2008;49(7):712-22.
  • 58. Van Leijenhorst L, Westenberg PM, Crone EA. A developmental study of risk decisions on the Cake Gambling Task: age and gender analysis of probability estimation and reward evaluation. Dev Neuropsychol. 2008;33(2):179-96.
  • 59. Barkley RA. ADHD and the nature of self-control. New York: Guilford Press; 1997.
  • 60. Sonuga Barke EJS. Psychological heterogeneity in AD/HD - a dual pathway of behavior and cognition. Behav Brain Res. 2002;130(1-2):29-36.
  • 61. Geurts HM, Van der Oord S, Crone EA. Hot and cool aspects of cognitive control in children with ADHD: decision-making and inhibition. J Abnorm Child Psychol. 2006;34(8):813-24.
  • 62. Buelow MT, Suhr JA. Construct validity of the Iowa Gambling Task. Neuropsychol Rev. 2009;19(1):102-14.
  • 63. Ayduk O, Mendoza-Denton R, Mischel W, Downey G, Peake PK, Rodriguez M. Regulating the interpersonal self: strategic self-regulation for coping with rejection sensitivity. J Pers Soc Psychol. 2000;79:776-92.
  • 64. Mischel W, Shoda Y, Peake PK. The nature of adolescent competencies by preschool delay of gratification. J Pers Soc Psychol. 1988;(54):687-96.
  • 65. Eigsti IM, Zayas V, Mischel W, Shoda Y, Ayduk O, Dadlani M. Predicting cognitive control from preschool to late adolescence and young childhood. Psychol Sci. 2006;(17):478-84.
  • Neuropsychological assessment of the decision making process in children and adolescents: an integrative review of the literature

    Fernanda Gomes da MataI; Fernando Silva NevesII, III; Guilherme Menezes LageIII, IV; Paulo Henrique Paiva de MoraesIII; Paulo MattosV; Daniel FuentesVI; Humberto CorrêaII, III; Leandro Malloy-DinizI, III
  • Publication Dates

    • Publication in this collection
      29 June 2011
    • Date of issue
      2011

    History

    • Accepted
      13 Dec 2010
    • Received
      10 July 2010
    Faculdade de Medicina da Universidade de São Paulo Rua Ovídio Pires de Campos, 785 , 05403-010 São Paulo SP Brasil, Tel./Fax: +55 11 2661-8011 - São Paulo - SP - Brazil
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