Research indicates that a small subset of those who routinely play video games show signs of pathological habits, with side effects ranging from mild (e.g., being late) to quite severe (e.g., losing a job). However, it is still not clear whether individual types, or genres, of games are most strongly associated with Internet gaming disorder (IGD). A sample of 4,744 University of Wisconsin-Madison undergraduates (Mage=18.9 years; SD=1.9 years; 60.5% female) completed questionnaires on general video game playing habits and on symptoms of IGD. Consistent with previous reports: 5.9-10.8% (depending on classification criteria) of individuals who played video games show signs of pathological play. Furthermore, real-time strategy and role-playing video games were more strongly associated with pathological play, compared with action and other games (e.g., phone games). The current investigation adds support to the idea that not all video games are equal. Instead, certain genres of video games, specifically real-time strategy and role-playing/fantasy games, are disproportionately associated with IGD symptoms.

When a test of working memory (WM) requires the retention of multiple items, a subset of them can be prioritized. Recent studies have shown that, although prioritized (i.e., attended) items are associated with active neural representations, unprioritized (i.e., unattended) memory items can be retained in WM despite the absence of such active representations, and with no decrement in their recognition if they are cued later in the trial. These findings raise two intriguing questions about the nature of the short-term retention of information outside the focus of attention. First, when the focus of attention shifts from items in WM, is there a loss of fidelity for those unattended memory items? Second, could the retention of unattended memory items be accomplished by long-term memory mechanisms? We addressed the first question by comparing the precision of recall of attended versus unattended memory items, and found a significant decrease in precision for unattended memory items, reflecting a degradation in the quality of those representations. We addressed the second question by asking subjects to perform a WM task, followed by a surprise memory test for the items that they had seen in the WM task. Long-term memory for unattended memory items from the WM task was not better than memory for items that had remained selected by the focus of attention in the WM task. These results show that unattended WM representations are degraded in quality and are not preferentially represented in long-term memory, as compared to attended memory items.

No abstract

Measures of human brain functional connectivity acquired during the resting-state track critical aspects of behavior. Recently, fluctuations in resting-state functional connectivity patterns – typically averaged across in traditional analyses – have been considered for their potential neuroscientific relevance. There exists a lack of research on the differences between traditional “static” measures of functional connectivity and newly-considered “time-varying” measures as they relate to human behavior. Using functional magnetic resonance imagining (fMRI) data collected at rest, and a battery of behavioral measures collected outside the scanner, we determined the degree to which each modality captures aspects of personality and cognitive ability. Measures of time-varying functional connectivity were derived by fitting a Hidden Markov Model. To determine behavioral relationships, static and time varying connectivity measures were submitted separately to canonical correlation analysis. A single relationship between static functional connectivity and behavior existed, defined by measures of personality and stable behavioral features. However, two relationships were found when using time-varying measures. The first relationship was similar to the static case. The second relationship was unique, defined by measures reflecting trialwise behavioral variability. Our findings suggest that time-varying measures of functional connectivity are capable of capturing unique aspects of behavior to which static measures are insensitive.

Measures of human brain functional connectivity acquired during the resting-state track critical aspects of behavior. Recently, fluctuations in resting-state functional connectivity patterns - typically averaged across in traditional analyses - have been considered for their potential neuroscientific relevance. There exists a lack of research on the differences between traditional "static" measures of functional connectivity and newly-considered "time-varying" measures as they relate to human behavior. Using functional magnetic resonance imagining (fMRI) data collected at rest, and a battery of behavioral measures collected outside the scanner, we determined the degree to which each modality captures aspects of personality and cognitive ability. Measures of time-varying functional connectivity were derived by fitting a Hidden Markov Model. To determine behavioral relationships, static and time-varying connectivity measures were submitted separately to canonical correlation analysis. A single relationship between static functional connectivity and behavior existed, defined by measures of personality and stable behavioral features. However, two relationships were found when using time-varying measures. The first relationship was similar to the static case. The second relationship was unique, defined by measures reflecting trialwise behavioral variability. Our findings suggest that time-varying measures of functional connectivity are capable of capturing unique aspects of behavior to which static measures are insensitive.

Background and Objectives: Internet Gaming Disorder (IGD) is characterized by a pattern of video game playing that results in significant issues with daily life (e.g. problems with inter-personal relationships or poor academic/job performance), and where the gaming persists despite these negative outcomes. Here we tested the hypothesis that the prevalence of IGD depends on the types of games a child plays. Methods: A sample of 2,982 children from Singaporean primary and secondary schools were recruited for the current study. They filled out questionnaires related to IGD symptoms, general video game play habits, as well as other measures of daily life function. Games were categorized into five genres (Role-playing, Strategy, Action, Puzzle, Music) and the prevalence of IGD was examined as a function of each individual's favorite genre of game. Results: Not all genres were equally associated with IGD. The highest rates of IGD were associated with players of Role-playing games followed by players of Action, Music, Strategy, and Puzzle games, respectively. However, this pattern was only found in secondary school-age children with primary school-aged children showing no differentiation by genre. Conclusion: Consistent with previous work, respondents' favorite game genres predicted differential probabilities of IGD. However, this was only true in older children, not in younger children. Future work is needed to determine if this is because young children are not susceptible to the differential influence of various genres or because the games that young children play within these genres lack the critical ingredients that exist in these game types played by older children and adults.

Humans can draw insight from previous experiences in order to quickly adapt to novel environments that share a common underlying structure. Here we combine functional imaging and computational modeling to identify the neural systems that support the discovery and transfer of hierarchical task structure. Human subjects completed multiple blocks of a reinforcement learning task that contained a global hierarchical structure governing stimulus-response action mapping. First, behavioral and computational evidence showed that humans successfully discover and transfer the hierarchical rule structure embedded within the task. Next, analysis of fMRI BOLD data revealed activity across a frontal-parietal network that was specifically associated with the discovery of this embedded structure. Finally, activity throughout a cingulo-opercular network and in caudal frontal cortex supported the transfer and implementation of this discovered structure. Together, these results reveal a division of labor in which dissociable neural systems support the learning and transfer of abstract control structures..

Neural plasticity, or the ability of the brain to reorganize its structure and activity, is of critical importance. For nearly 50 years, the dominant framework in the field of learning and neural plasticity held that the brain was capable of truly large-scale changes only early in life. However, emerging evidence suggests that plasticity that had assumed to be “lost” due to age, injury, or disease may be at least partially re-established via genetic, pharmacological, and/or behavioral means. Yet, while it is true that humans retain a significant capacity to learn throughout the life span, a second roadblock frequently stands in the way of translating learning gains into practical real-world benefits. This obstacle is the “curse of specificity.” While it is true that, given appropriate training, humans will tend to improve on almost any task, the improvements that are observed are often confined to the exact training task, with little to no benefits of the training being observed for even seemingly very similar tasks. This chapter discusses the trend toward task-specific training on one working memory task, as well as the finding that action video game training does appear to lead to more generalizable improvements in cognitive performance.