Tests Of Fluid Intelligence Research Articles

Exploring crystallized and fluid intelligence in down syndrome using graph theory

This cross-sectional study examined the cognitive performance of crystallized intelligence (Gc) and fluid intelligence (Gf) in 340 individuals, comparing adults (aged 22-45) to adolescents (aged 16-21) in two groups of etiologies. Down syndrome (DS) and non-specific intellectual disability (NSID). The aim was to estimate whether their cognitive performance reflected accelerated, stable, or continuous trajectories. Participants were assessed using the Vocabulary, Similarities, Block Design, and Raven Matrix tests. ANOVA analysis indicated that adults exhibited higher scores than adolescents on three of the crystallized and fluid intelligence tests, with similar trends observed in the Raven Matrix test, thus supporting the Compensation Age Theory. Participants with NSID exhibited higher scores in Vocabulary than participants with DS. Participants with DS exhibited higher scores in Block Design and Raven than participants with NSID. There was no difference between the groups in Similarities, suggesting that the verbal ability of individuals with DS is not so impaired relative to participants with NSID. Graph analysis demonstrated divergent Gc-Gf networks between the two groups of etiologies. The DS etiology revealed more coherent connections between crystallized and fluid intelligence, especially in adulthood, compared to the diffuse and absent connections seen in adults with NSID. Thus, the relative strength in Similarities and the more coherent Gc-Gf interconnections in the DS etiology suggested a more coherent and not-so-impaired profile in a clear diagnostic etiology such as DS, especially in adulthood, compared to unclear genetic etiologies such as NSID. The findings hold educational implications for adults with ID with and without Down syndrome at least until their 40’s as a time for growth and development, perhaps serving as a protective factor against possible cognitive decline in the future.

The minimal computational substrate of fluid intelligence

The quantification of cognitive powers rests on identifying a behavioural task that depends on them. Such dependence cannot be assured, for the powers a task invokes cannot be experimentally controlled or constrained a priori, resulting in unknown vulnerability to failure of specificity and generalisability. Evaluating a compact version of Raven's Advanced Progressive Matrices (RAPM), a widely used clinical test of fluid intelligence, we show that LaMa, a self-supervised artificial neural network trained solely on the completion of partially masked images of natural environmental scenes, achieves representative human-level test scores a prima vista, without any task-specific inductive bias or training. Compared with cohorts of healthy and focally lesioned participants, LaMa exhibits human-like variation with item difficulty, and produces errors characteristic of right frontal lobe damage under degradation of its ability to integrate global spatial patterns. LaMa's narrow training and limited capacity suggest matrix-style tests may be open to computationally simple solutions that need not necessarily invoke the substrates of reasoning.

An Empirical Test of the Concept of the Adaptively Intelligent Attitude.

This study provides an empirical test of a previously proposed assertion that intelligence as adaptation has an attitudinal as well as an ability component. The ability component deals with what the basic knowledge and skills are that underlie intelligence, and how much of each one an individual has. The attitudinal component deals with how an individual chooses to deploy the abilities they have. In other words, to what use are the abilities put? It is argued that it is impossible fully to separate the measurement of the ability component from the attitudinal one. In a diverse population, even taking an intelligence test will show itself to involve an attitude toward the test, which may enhance or detract from performance, as when one sees the test as irrelevant or harmful to one's life, or as a sociocultural misfit to one's life experience. To succeed, people need not only to have abilities, but attitudes that put those abilities to effective use to accomplish individuals' life goals. In the study, we found that intelligent attitudes are related, but non-identical, to germane constructs, such as wisdom, the need for cognition, creativity, and openness to experience. Scores on the attitudinal measure were not related to scores on tests of fluid intelligence and academic abilities/achievement. Thus, the range of attitudes regarding how to deploy intelligence can vary over ability levels.

Reduced Diffusivity along Perivascular Spaces on MR Imaging Associated with Younger Age of First Use and Cognitive Impairment in Recreational Marijuana Users.

The impairment of the glymphatic system, a perivascular network crucial for brain waste clearance, has been linked to cognitive impairment, potentially attributed to the accumulation of brain waste. Although marijuana use has been associated with poorer cognitive performance, particularly in adolescents, its influence on the glymphatic system remains unexplored. This study evaluated the influence of the age of first marijuana use and the total number of lifetime uses on the glymphatic system, measured using the index of DTI along the perivascular space (DTI-ALPS). Furthermore, we explored the correlation between glymphatic clearance and cognitive performance among marijuana users. In this study, 125 individuals who reported using marijuana at least once in their lifetime (43 men; mean age, 28.60 [SD, 3.84] years) and 125 individuals with zero lifetime cannabis use (nonusers; 44 men; mean age, 28.82 [SD, 3.56] years) were assessed. ALPS indices of all study participants were calculated using 3T diffusion MR imaging data (b = 1000 s/mm2). After we adjusted for age, sex, education years, Pittsburgh Sleep Quality Index, alcohol use, tobacco use, and intracranial volume, our analysis using a univariate General Linear Model revealed no significant difference in the ALPS index among nonusers and marijuana users with different ages of first use or various frequencies of lifetime usage. However, in marijuana users, multiple linear regression analyses showed associations between a lower ALPS index and earlier age of first marijuana use (standardized β, -0.20; P = .041), lower accuracy in the working memory 0-back task (standardized β, 0.20; P = .042), and fewer correct responses in the Fluid Intelligence Test (standardized β, 0.19; P = .045). This study shows the potential use of DTI-ALPS as a noninvasive indirect indicator of the glymphatic clearance in young adults. Our findings show novel adverse effects of younger age at first use of marijuana on the glymphatic system function, which is associated with impaired working memory and fluid intelligence. Gaining insight into the alterations in glymphatic function following marijuana use could initiate novel strategies to reduce the risk of cognitive impairment.

Computational thinking in university students: The role of fluid intelligence and visuospatial ability.

Computational thinking (CT) is a set of problem-solving skills with high relevance in education and work contexts. The present paper explores the role of key cognitive factors underlying CT performance in non-programming university students. We collected data from 97 non-programming adults in higher education in a supervised setting. Fluid intelligence, crystallized intelligence, and visuospatial ability were assessed using computerized adaptive tests; CT was measured using the Computational Thinking test. The direct and indirect effects of gender and visuospatial ability through fluid intelligence on CT were tested in a serial multiple mediator model. Fluid intelligence predicted CT when controlling for the effects of gender, age, and visuospatial ability, while crystallized intelligence did not predict CT. Men had a small advantage in CT performance when holding the effects of cognitive abilities constant. Despite its large correlation with gender and CT, visuospatial ability did not directly influence CT performance. Overall, we found that programming-naive computational thinkers draw on their reasoning ability that does not rely on previously acquired knowledge to solve CT problems. Visuospatial ability and CT were spuriously associated. Drawing on the process overlap theory we propose that tests of fluid intelligence and CT sample an overlapping set of underlying visuospatial processes.

Polyphenol intake beneficially associates with inflammation and cognitive performance, and is mediated by MRI‐derived features

AbstractBackgroundEarly changes to cognitive performance and neurophysiological biomarkers offer insights into one’s future risk of developing Alzheimer’s disease or other dementias. Evidence suggests a link between polyphenol intake and reduced incidence of age‐associated cognitive decline and neurodegeneration. These relationships may be driven by the effect of dietary polyphenols on inflammation and degeneration of critical neurological structures and systems. These relationships are challenging to assess, as few cohorts allow cohesive assessment of polyphenol intake, systemic inflammation, neurophysiological measures and cognition.MethodPolyphenol intake was assessed in two UK cohorts: The Airwave Health Monitoring Study and UK Biobank (UKB). Diet diary and questionnaire data were integrated with polyphenol composition data from Phenol‐Explorer to allow for testing of associations between polyphenol intake, blood biomarkers of inflammation, and cognitive performance. 9008 Airwave participants and 209,163 UKB participants were included in a cross‐sectional analysis. C‐reactive protein (CRP) and fibrinogen were used as blood biomarkers of inflammation, and cognitive assessments included reaction time (milliseconds) and fluid intelligence (score /13). Neuroimaging assessments included grey matter volumes and white matter integrity, and were considered individually and using PCA.ResultLinear regressions showed inverse associations between total polyphenol intake and CRP: ß ‐0.00702 (Airwave) and ß = ‐0.00672 (UKB), both P <0.001, as well as fibrinogen: ß ‐0.00221; P = 0.038 (Airwave only), in addition to biomarker associations with polyphenols at the compound group level. Regarding cognition, linear regressions revealed beneficial associations between total intake and performance in fluid intelligence tests: ß 0.00657; P = 0.009 (Airwave) and ß 0.00715, P <0.001 (UKB), and reaction time ß ‐0.0000977; P = 0.020 (UKB). Mediations of the polyphenol‐fluid intelligence relationship were detected for IDPs including grey matter volumes of hippocampal‐associated regions, and white matter integrity measured using ISOVF.ConclusionWe described polyphenol intake in two large, contemporary UK cohorts, and discovered associations between higher intake and improved inflammatory markers and cognitive performance, as well as mediations of the polyphenol‐cognition relationship by physical neurological markers. This contributes to evidence supporting the health benefits of dietary polyphenols, clarifies the physiological pathways through which they may act, and highlights their relevance when considering preventative interventions for neurodegeneration.

Polyphenol intake beneficially associates with inflammation and cognitive performance, and is mediated by MRI‐derived features

AbstractBackgroundEarly changes to cognitive performance and neurophysiological biomarkers offer insights into one’s future risk of developing Alzheimer’s disease or other dementias. Evidence suggests a link between polyphenol intake and reduced incidence of age‐associated cognitive decline and neurodegeneration. These relationships may be driven by the effect of dietary polyphenols on inflammation and degeneration of critical neurological structures and systems. These relationships are challenging to assess, as few cohorts allow cohesive assessment of polyphenol intake, systemic inflammation, neurophysiological measures and cognition.MethodPolyphenol intake was assessed in two UK cohorts: The Airwave Health Monitoring Study and UK Biobank (UKB). Diet diary and questionnaire data were integrated with polyphenol composition data from Phenol‐Explorer to allow for testing of associations between polyphenol intake, blood biomarkers of inflammation, and cognitive performance. 9008 Airwave participants and 209,163 UKB participants were included in a cross‐sectional analysis. C‐reactive protein (CRP) and fibrinogen were used as blood biomarkers of inflammation, and cognitive assessments included reaction time (milliseconds) and fluid intelligence (score /13). Neuroimaging assessments included grey matter volumes and white matter integrity, and were considered individually and using PCA.ResultLinear regressions showed inverse associations between total polyphenol intake and CRP: β ‐0.00702 (Airwave) and β = ‐0.00672 (UKB), both P <0.001, as well as fibrinogen: β ‐0.00221; P = 0.038 (Airwave only), in addition to biomarker associations with polyphenols at the compound group level. Regarding cognition, linear regressions revealed beneficial associations between total intake and performance in fluid intelligence tests: β 0.00657; P = 0.009 (Airwave) and β 0.00715, P <0.001 (UKB), and reaction time β ‐0.0000977; P = 0.020 (UKB). Mediations of the polyphenol‐fluid intelligence relationship were detected for IDPs including grey matter volumes of hippocampal‐associated regions, and white matter integrity measured using ISOVF.ConclusionWe described polyphenol intake in two large, contemporary UK cohorts, and discovered associations between higher intake and improved inflammatory markers and cognitive performance, as well as mediations of the polyphenol‐cognition relationship by physical neurological markers. This contributes to evidence supporting the health benefits of dietary polyphenols, clarifies the physiological pathways through which they may act, and highlights their relevance when considering preventative interventions for neurodegeneration.

Fostering Thinking Skills Supported by e-Portals with Case Examples of Blended Mode Problem-based Learning (PBL) Participated by Secondary School Learners

The integration of Information and Communication Technology (ICT) in science learning has been identified as an important component in the transformation process of many educational systems to impart the technology skills that is an essential 21st century skills to serve the new learning paradigm among the Net Generation students. In the advent of digital era, World Wide Web has spawned a wealth of new network-based applications with an overarching vision that supports specific blended mode learning programmes incorporating interactive e-platforms and m-learning. Student-centred learning opportunities were widened with more interactive activities that could engage their interest for science learning in the ever expanding knowledge-based societies. This article analyses the roles of e-portals incorporating Open Educational Resources (OERs) that foster thinking skills of learners through ‘Problem-based Learning’ (PBL) programmes. Cases are extracted from a bigger scale of longitudinal study that examined students’ participation in the blended mode PBL anchored on social constructivist and socio-cultural framework. Blended learning activities were implemented leveraging on the effective use of OER to enhance learners’ investigative skills with transformation of values-based classroom practices beyond formal teaching. PBL scenario (six contextual problems) adapted from secondary science entitled ‘Water and Solution’ was presented to project teams from two case study schools. Problem case 4 using ‘withincase dynamic matrix’ was further reported with exemplars elaborated. Students were administered with ‘Fluid Intelligence Test’(FIT) encompassing evaluation of creative, critical/logical thinking and reasoning skills prior to PBL through scaffolded instruction (SI)(PBL-SI) with evaluation guided by POSITIVE rubric (accessible at http://forum.sp3aceman.net). Four aspects of POSITIVE rubric guide, ‘Skills’ enhancement (scientific/ICT), ‘Information’, ‘Training/transfer of Higher Order Thinking’ (HOT) and ‘Evaluation/exchange/enrichment/ exposure’ are illustrated with evidence of students’ enhanced HOT. Innovative learning designs and on-line assessment with evidences of exemplary students’ creative potentials involved in investigation using OER were identified which include interviews findings from two students who created web-portals using OER effectively. ‘More/moderately successful students’ were involved actively in mini science fair, congress/competitions and e-forum (http://forum.maays. net). Other pedagogical issues concerning of the importance of PBL and blended learning that promote thinking skills in line with research evidence as reported in TIMSS and PISA studies are also deliberated.

Getting it right takes time: response time and performance in secondary school students

The relation between response time and performance in cognitive tasks is increasingly evident. In the present study, we analyzed the effect of participants’ spontaneous speed when responding to a mental rotation task. We carried out a data reanalysis from a previous study where a training of 3 practice sessions of 100 trials each was applied. The procedure was applied to a sample of 21 high school students (11 boys, 10 girls). The relation between response time and performance (hits) across the training trials was analyzed. In addition, we carried out a regression analysis of performance on the learning task as a function of response time on that same task, as well as with the score on two previously applied tests of spatial intelligence and fluid intelligence. Results showed, (a) a significant relationship (r = 0.624) between response time and hits, (b) that the group of participants with longer response times performed better; (c) that participants’ response time explained most of the variance of their score on the training task in the regression analysis, although spatial and fluid intelligence scores improved the prediction of performance. Our results suggest that the reflective style achieves greater performance in solving spatial tasks, which could have important practical implications to promote a slower and more reflective style when solving school tasks with spatial components.

B - 90 Need for Cognition Results in Greater Persistence on Fluid Intelligence Tests.

We evaluated reaction time (RT) as a mediator of the relation between the trait Need for Cognition (NFC) and Raven's Advanced Progressive Matrices (RAPM). 174 undergraduate students (M = 20years old, SD = 1.5; 74.1% female) completed the 18 item NFC questionnaire and RAPM as part of a larger battery. RAPM mean RT (RMRT) was calculated in msec. Overall total effect between NFC and RAPM total score was significant [F(2,146) = 44.04; p < 0.001; r2 = 0.38; 95% CI = 0.05, 0.18] when not accounting for the effect of the mediator for RT. RMRT demonstrated a significant indirect effect on RAPM total score [B = 0.11; t(148) = 4.34; p < 0.001; 95% CI = 0.09, 0.24]. Results indicate that the direct effect of NFC and RAPM was significant [B = 0.23; t(148) = 3.42; p < 0.001; 95% CI = 0.03, 0.19] when controlling for the mediator of RT, which shows a partially mediated effect. RT partially mediates the relationship between NFC and RAPM performance. This is the first demonstration that high NFC improves performance on fluid intelligence tests at least partly by high NFC individuals persevering longer on test items. As NFC and RAPM are still correlated after including RT as a mediator, test persistence is not solely responsible for this direct relationship. Future research needs to determine additional variables that account for the relation between NFC and RAPM.

The Relative Strengths of Relationships Between Fine Motor Skills, Working Memory, Processing Speed and Fluid Intelligence in Early Elementary School Children.

The goal in the present paper was to examine the combined and relative impact of fine motor ability, auditory working memory, and processing speed on fluid intelligence in a sample of early elementary school students. Our participant sample was 145 children (Mage = 9.1years, SD = 1.1; 80 boys, 65 girls). We used the Raven's Colored Progressive Matrices Test as a measure of fluid intelligence and five other measures to represent the three predictor variables: the Grooved Pegboard Test as a measure of fine motor skills, Digit Span Forwards and Digit Span Backwards tests as measures of working memory, and Rapid Automatized Naming and Letter-Digit Substitution tasks as measures of processing speed. Regression analyses indicated that only two of these measures had a statistically significant association with the fluid intelligence test scores, namely, scores on the Grooved Pegboard (fine motor skills) and Digit Span Backwards (working memory) tests, with these two measures explaining 35% of the variance in the fluid intelligence test scores. Thus, fine motor skills and working memory were correlated with fluid intelligence in early elementary-grade students. Until the directions of these relationships are better understood, we might assume that interventions aiming to increase young children's fluid intelligence, or at least their intelligence scores, might partly target working memory and fine motor skills.

Fluid Intelligence Is (Much) More than Working Memory Capacity: An Experimental Analysis.

Empirical evidence suggests a great positive association between measures of fluid intelligence and working memory capacity, which implied to some researchers that fluid intelligence is little more than working memory. Because this conclusion is mostly based on correlation analysis, a causal relationship between fluid intelligence and working memory has not yet been established. The aim of the present study was therefore to provide an experimental analysis of this relationship. In a first study, 60 participants worked on items of the Advanced Progressive Matrices (APM) while simultaneously engaging in one of four secondary tasks to load specific components of the working memory system. There was a diminishing effect of loading the central executive on the APM performance, which could explain 15% of the variance in the APM score. In a second study, we used the same experimental manipulations but replaced the dependent variable with complex working memory span tasks from three different domains. There was also a diminishing effect of the experimental manipulation on span task performance, which could now explain 40% of the variance. These findings suggest a causal effect of working memory functioning on fluid intelligence test performance, but they also imply that factors other than working memory functioning must contribute to fluid intelligence.

Lifespan normative data (18-89 years) for Raven's Advanced Progressive Matrices Set I.

Raven's Advanced Progressive Matrices (APM) Set I is a validated and brief test of fluid intelligence, ideal for use in busy clinical settings. However, there is a dearth of normative data allowing an accurate interpretation of APM scores. To address this, we present normative data from across the adult lifespan (18-89 years) for the APM Set I. Data are presented in five age cohorts (total N= 352), including two older adult cohorts (65-79 years and 80-89 years), which allows age-standardized assessment. We also present data from a validated measure of premorbid intellectual ability, which was absent from previous standardizations of longer forms of the APM. In line with previous findings, a striking age-related decline was noted, beginning relatively early in adulthood and most marked amongst lower-scoring individuals. Older adults did not demonstrate difficulty with specific test items or make an increased proportion of specific errors. Sex was not a significant predictor of performance. The data set is of particular use in the neuropsychological assessment of older adults, given the known susceptibility of fluid intelligence to both the effects of normal ageing and acquired brain injury in older age. The results are discussed in light of theories of neurological ageing.

Graph lesion-deficit mapping of fluid intelligence.

Fluid intelligence is arguably the defining feature of human cognition. Yet the nature of its relationship with the brain remains a contentious topic. Influential proposals drawing primarily on functional imaging data have implicated 'multiple demand' frontoparietal and more widely distributed cortical networks, but extant lesion-deficit studies with greater causal power are almost all small, methodologically constrained, and inconclusive. The task demands large samples of patients, comprehensive investigation of performance, fine-grained anatomical mapping, and robust lesion-deficit inference, yet to be brought to bear on it. We assessed 165 healthy controls and 227 frontal or non-frontal patients with unilateral brain lesions on the best-established test of fluid intelligence, Raven's Advanced Progressive Matrices, employing an array of lesion-deficit inferential models responsive to the potentially distributed nature of fluid intelligence. Non-parametric Bayesian stochastic block models were used to reveal the community structure of lesion deficit networks, disentangling functional from confounding pathological distributed effects. Impaired performance was confined to patients with frontal lesions [F(2,387) = 18.491; P < 0.001; frontal worse than non-frontal and healthy participants P < 0.01, P <0.001], more marked on the right than left [F(4,385) = 12.237; P < 0.001; right worse than left and healthy participants P < 0.01, P < 0.001]. Patients with non-frontal lesions were indistinguishable from controls and showed no modulation by laterality. Neither the presence nor the extent of multiple demand network involvement affected performance. Both conventional network-based statistics and non-parametric Bayesian stochastic block modelling heavily implicated the right frontal lobe. Crucially, this localization was confirmed on explicitly disentangling functional from pathology-driven effects within a layered stochastic block model, prominently highlighting a right frontal network involving middle and inferior frontal gyrus, pre- and post-central gyri, with a weak contribution from right superior parietal lobule. Similar results were obtained with standard lesion-deficit analyses. Our study represents the first large-scale investigation of the distributed neural substrates of fluid intelligence in the focally injured brain. Combining novel graph-based lesion-deficit mapping with detailed investigation of cognitive performance in a large sample of patients provides crucial information about the neural basis of intelligence. Our findings indicate that a set of predominantly right frontal regions, rather than a more widely distributed network, is critical to the high-level functions involved in fluid intelligence. Further they suggest that Raven's Advanced Progressive Matrices is a useful clinical index of fluid intelligence and a sensitive marker of right frontal lobe dysfunction.

Dopaminergic and noradrenergic integrity are differentially associated with late‐life memory performance

AbstractBackgroundAge‐related deficits in dopaminergic neuromodulation play a key role in determining memory decline. Facilitated by technical advancements, recent research has also implicated noradrenergic neuromodulation in shaping late‐life memory development. However, investigations disentangling the contribution of the two neuromodulators to the neurobiological basis of human cognitive aging are scarce.MethodWe collected high‐resolution magnetic resonance imaging (MRI) data of the dopaminergic substantia nigra–ventral tegmental area and the noradrenergic locus coeruleus of 320 younger and older adults at two time points (T1, T2; ∼1.9 years delay). The imaging protocol included three scans sensitive for the substantia nigra–ventral tegmental area and locus coeruleus—a Fast‐Spin‐Echo [FSE] sequence, and a Magnetization‐Transfer sequence, acquired once with a dedicated magnetic saturation pulse [MT+] and once without, resulting in a proton‐density like image [MT–]. We aggregated the information shared across imaging modalities by estimating multimodal latent factors expressing dopaminergic and noradrenergic integrity.Participants also completed a comprehensive cognitive battery at three time points (T1, T2, T3), including tests of fluid intelligence, episodic and working memory. We used structural equation modeling to evaluate cross‐sectional associations of substantia nigra–ventral tegmental area and locus coeruleus integrity with late‐life cognition. In a second set of models, we probed longitudinal changes in substantia nigra–ventral tegmental area and locus coeruleus integrity (T1–T2) and used them to predict participants’ future cognitive performance (at T3).ResultCross‐sectionally, we found differential associations of dopaminergic and noradrenergic nuclei with late‐life cognition. While locus coeruleus integrity was related to better episodic memory across several memory tasks, substantia nigra–ventral tegmental area integrity was related to working memory performance. Moreover, consistent with a largely shared biosynthesis of the neuromodulators, dopaminergic and noradrenergic nuclei were positively related. Longitudinally, we found that older age was associated with more‐negative change in substantia nigra–ventral tegmental area and locus coeruleus integrity (T1–T2). Importantly, changes in locus coeruleus integrity reliably predicted future episodic memory performance (at T3).ConclusionThese findings support the utility of in‐vivo indices for catecholaminergic integrity and highlight differential roles of dopaminergic and noradrenergic neuromodulation in late‐life cognitive decline.

Fluid Intelligence Test Scores Across the Schooling: Evidence of Nonlinear Changes in Girls and Boys

The results of the analyses of the changes of fluid intelligence scores measured by the Standard Progressive Matrices test across all school years were presented. Sex differences in fluid intelligence scores for each year of schooling as well as in fluid intelligence changes across schooling were analyzed. A total of 1581 participants (51.1% boys) aged 6.8 to 19.1 years from one public school were involved in this cross-sectional study, of whom 871 were primary schoolchildren (mean age = 9.23; range 6.8–11.6), 507 were secondary schoolchildren (mean age = 14.06; range 10.8–18.0), and 203 were high schoolchildren (mean age = 17.25; range 15.3–19.1). To examine the changes in fluid intelligence both correlation analysis and polynomial regression of the total, boys’ and girls’ samples were performed. Linear, quadratic, and cubic regression models were fitted to the data. To explore sex differences in fluid intelligence in each year of schooling, the series of ANOVA were carried out. The results revealed that the school-age change in fluid intelligence is nonlinear for both girls and boys. The changes for girls during the schooling are best described by a quadratic relationship while those for boys are best reflected by a cubic relationship.

Cognitive Flexibility and Decision Making Predicts Expertise in the MOBA Esport, League of Legends

In recent years, esports (the competitive video game industry) have evolved significantly, revolutionizing not only the competitive scene but also the teams and their professional staff. Sports psychologists need to face with cognitive demands related to this activity primarily mental, to respond to the specific needs of the sector (e.g., high performance interventions). The aim of this study was to determine the relationship between cognitive performance in tests and the MOBA League of Legends (LOL) game scores. A group of 36 pure-genre LOL players was evaluated with behavioral tests of fluid intelligence, attentional control inhibition, working memory, cognitive flexibility, and decision making. Furthermore, their in-game performance (rank percentile, kills death assists, minions per minute, and vision score) was recorded during a complete season (approximately 1 year). Data was analyzed by means of correlation and multiple regression analysis. Results showed that cognitive flexibility was positively related to the “rank percentile” ( p &lt; .001; R = .442; 95% CI [2.97, 74.76]). Besides, a positive relationship was found between decision making and the in-game performance variable “minions per minute” ( p = .009; R = .236; 95% CI [−8.46, 5.26]). These findings point that it is possible predict performance on specific variables, in esports with high cognitive impact throughout neuropsychological assessment. These results provide a starting point for research in the field of esports, sports psychology, and high-performance-oriented intervention.

Analysis of associations between dietary patterns, genetic disposition, and cognitive function in data from UK Biobank

PurposeResearch suggests that diet influences cognitive function and the risk for neurodegenerative disease. The present study aimed to determine whether a recently developed diet score, based on recommendations for dietary priorities for cardio metabolic health, was associated with fluid intelligence, and whether these associations were modified by individual genetic disposition.MethodsThis research has been conducted using the UK Biobank Resource. Analyses were performed using self-report data on diet and the results for the verbal-numerical reasoning test of fluid intelligence of 104,895 individuals (46% male: mean age at recruitment 57.1 years (range 40–70)). For each participant, a diet score and a polygenic score (PGS) were constructed, which evaluated predefined cut-offs for the intake of fruit, vegetables, fish, processed meat, unprocessed meat, whole grain, and refined grain, and ranged from 0 (unfavorable) to 7 (favorable). To investigate whether the diet score was associated with fluid intelligence, and whether the association was modified by PGS, linear regression analyses were performed.ResultsThe average diet score was 3.9 (SD 1.4). After adjustment for selected confounders, a positive association was found between baseline fluid intelligence and PGS (P < 0.001). No association was found between baseline fluid intelligence and diet score (P = 0.601), even after stratification for PGS, or in participants with longitudinal data available (n = 9,482).ConclusionIn this middle-aged cohort, no evidence was found for an association between the investigated diet score and either baseline or longitudinal fluid intelligence. However, as in previous reports, fluid intelligence was strongly associated with a PGS for general cognitive function.

Cultural Intelligence: What Is It and How Can It Effectively Be Measured?

We administered both maximum-performance and typical-performance assessments of cultural intelligence to 114 undergraduates in a selective university in the Northeast of the United States. We found that cultural intelligence could be measured by both maximum-performance and typical-performance tests of cultural intelligence. Cultural intelligence as assessed by a maximum-performance measure is largely distinct from the construct as assessed by a typical-performance measure. The maximum-performance test, the Sternberg Test of Cultural Intelligence (SCIT), showed high internal consistency and inter-rater reliability. Sections with problems from two content domains—Business (SCIT-B) and Leisure (SCIT-L) activities—were highly intercorrelated, suggesting they measured largely the same construct. The SCIT showed substantial correlations with another maximum-performance measure of cultural intelligence, Views-on-Culture. It also was correlated, at more modest levels, with fluid intelligence and personal intelligence tests. Factorially, the (a) maximum-performance cultural intelligence tests, (b) typical-performance cultural intelligence test and a test of openness to experience, and (c) fluid intelligence tests formed three separate factors.

Fostering cognitive performance in older adults with a process- and a strategy-based cognitive training

ABSTRACT The present study investigates the impact of process-based and strategy-based cognitive training to boost performance inhealthy older adults. Three groups trained with either a dichotic listeningtraining (process-based training, n = 25), an implementation intention strategytraining (strategy-based training, n = 23), or served as a non-contact controlgroup (n = 30). Our results demonstrated that training participants improvedtheir performance in the trained tasks (process-based training: d = 3.01, strategy-based training: d = 2.6). For untrained tasks, theprocess-based training group showed significant working memory (d = .58) as well as episodic memory taskimprovement (d = 1.19) compared to thestrategy-based training and to the non-contact control group (all d < .03). In contrast, in thestrategy-based training group there was a tendency towards some performancegain in a fluid intelligence test (d =.92). These results indicate that cognitive training can be tailored toimprove specific cognitive abilities.