The link between working memory and fluid intelligence is dependent on flexible bindings, not systematic access or passive retention.

Rather than working memory capacity acting as a distinct subordinate function of fluid intelligence, there is an emerging consensus that their relationship can be understood as an outcome of common functions dictated by the strength and flexibility of bindings which integrate representations relationally. The current study considers the Arithmetic Chain Task (Oberauer, Demmrich, Mayr, & Kliegl, 2001) which contrasts access (integrating previously stored information for use in the arithmetic processing) against mere retention (holding previously stored information for recall after the arithmetic processing). Participants (n = 122) completed the Arithmetic Chain Task (ACT) with a novel manipulation that split the access condition into fixed-order vs.

Validating the relation-monitoring task as a measure of relational integration and predictor of fluid intelligence.

The relation-monitoring task (RMT) has demonstrated a remarkable ability to predict higher-order cognitive abilities such as fluid intelligence, despite its apparent simplicity: It requires no storage over time and no advanced mental manipulation. Instead, the task is theorized to measure relational integration: the process of constructing mental relations between independent elements. Although several studies have established a link between the RMT and fluid intelligence, few studies have investigated the task parameters that contribute to the task's ability to predict higher-order performance.

Correction: Relational encoding of objects in working memory: Changes detection performance is better for violations in group relations.

[This corrects the article DOI: 10.1371/journal.pone.

Relational encoding of objects in working memory: Change detection performance is better for violations in group relations.

Research has indicated that working memory is based on forming relations between individual elements. In this study, we considered the congruency of object clusters during a change detection task. We demonstrate that changes which violate the relational encoding of a probe display (single-object changes where one object shifts independently from its corresponding group) are more easily detected than changes that maintain group structure (cluster changes where all objects in the group shift in location together)-despite cluster changes involving more objects moving overall.

Meta-Analysis of the Effects of Computerized Cognitive Training on Executive Functions: a Cross-Disciplinary Taxonomy for Classifying Outcome Cognitive Factors.

The growing prevalence of neurodegenerative disorders associated with aging and cognitive decline has generated increasing cross-disciplinary interest in non-pharmacological interventions, such as computerized cognitive training (CCT), which may prevent or slow cognitive decline. However, inconsistent findings across meta-analytic reviews in the field suggest a lack of cross-disciplinary consensus and on-going debate regarding the benefits of CCT. We posit that a contributing factor is the lack of a theoretically-based taxonomy of constructs and representative tasks typically used.

The effectiveness of family-based treatment for full and partial adolescent anorexia nervosa in an independent private practice setting: Clinical outcomes.

Objective: Anorexia nervosa (AN) is a severe psychiatric illness with little evidence supporting treatment in adults. Among adolescents with AN, family-based treatment (FBT) is considered first-line outpatient approach, with a growing evidence base. However, research on FBT has stemmed from specialist services in research/public health settings.