Search Results (67)

The relationship between self-rated personality and nonverbal intelligence has been studied in young students, but these studies have generally not considered nested data, despite their allowing us to analyse between-classroom variability. The present cross-sectional study involved third- to sixth-grade students (n = 447) who were nested into their classrooms (n = 32). The participants completed the Raven’s Coloured Progressive Matrices (CPM) as a measure of nonverbal intelligence and a personality questionnaire based on the Five Factor Model. At the class level, the study data included class size, class-average CPM scores, and class-homogeneity in CPM performances. Multilevel modelling with class-mean centring of personality predictors was applied to examine class-average differences in CPM scores and interaction effects between personality and class-homogeneity on CPM scores. The results showed significant differences in average CPM performances across classrooms, significant fixed and random slope effects linking nonverbal intelligence and Imagination, and a cross-level effect revealing that Imagination is a stronger predictor of CPM scores when class-homogeneity in intelligence is lower. Beyond confirming the intelligence–Imagination association generally observed in the literature, the present findings emphasise the importance of using nested structures when collecting personality and intelligence data in classrooms. More attention needs to be paid to how the classroom environment affects children’s self-reported personality and intelligence test performances. Full article

Despite the high similarity of reasoning ability items, research indicates that individuals apply different strategies when solving them. The two distinct strategies are response elimination and constructive matching. The latter, frequently showing a positive correlation with reasoning ability, entails the individual systematically investigating the presented problem matrix of an item before scanning the response alternatives. To further understand the sources of individual differences in strategy use during test taking, three different eye-tracking metrics were investigated in participants (N = 210) solving the Raven’s Advanced Progressive Matrices (APM). Relying on the fixed-links modeling approach, bifactor models were fit to the data. The latent model approach revealed, in line with other research, a positive correlation between reasoning ability and constructive matching. The results further indicated that a change in strategy use was correlated with the item-position effect and not reasoning ability. The former exhibited a different direction of effect, depending on the eye-tracking metric analyzed. When investigating the toggle rate, the participants used more constructive matching towards the end of the APM. The proportional time to first fixation on response alternatives indicated less constructive matching as the test progressed, and the proportional time on the problem matrix exhibited no distinct pattern regarding a change in strategy use. These diverging results point towards the possibility of a more nuanced problem-solving behavior than previously assumed. By including the item-position effect in the analyses, the increasing individuals differences in problem-solving behavior can be taken into account, which could be a necessary step in attaining a more comprehensive understanding of problem-solving behavior. Full article

Math learning is a key educational goal, and one marked by substantial individual differences even in the earliest grades. Although considerable research has examined the extent to which domain-general processes, such as executive functions and fluid intelligence, contribute to this variability, there is a notable gap in understanding how they may interact to predict early math learning. In particular, prior work had not examined potential moderating effects whereby the relation between executive functions and math outcomes depends on a child’s fluid intelligence, and vice versa. The current study addressed this gap by examining the math skills in Russian first-graders (N = 160) as a function of fluid intelligence (measured with Raven’s matrices) and various components of executive functions. Consistent with prior research, the results revealed the main effects of Raven’s scores, verbal working memory, and the control component of executive function (a composite of inhibition and cognitive flexibility scores) on math growth. Importantly, extending previous research, the study found that both memory and control components of executive function interacted with fluid intelligence. Specifically, executive function had a stronger positive effect on math learning for children with lower levels of fluid intelligence. The implications for intervention research and educational practice are discussed. Full article

Exploring cognitive abilities is necessary in educational contexts, where such insights shape decisions about student placement and teaching methods. Traditionally, educational assessments have been leaned on academic performance to guide decisions related to grading and student placement. This study examines the relationships among specific neuropsychological measures, namely the Event Related Potentials (ERPs), P300 waveform, reaction time, and fluid intelligence in children. Raven’s Standard Progressive Matrices (RSPM) was utilized to assess intelligence levels. Based on their RSPM scores, participants were grouped into two categories: those with “high mental abilities” and those with “average mental abilities”. It was hypothesized that children with higher RSPM scores might display reduced P300 latencies and quicker reaction times, potentially reflecting greater neural efficiency. Electrophysiological data collected using ERPs, focusing on the P300 component. The results suggest a possible association between higher intelligence scores and shorter P300 latencies and quicker reaction times, which could support the concept of neural efficiency and the significance of cognitive speed in understanding intelligence. This investigation into the neuropsychological foundations of cognitive ability in children is in the same line with studies supporting how brain activity, connectivity, and processing efficiency vary. These differences could help develop educational strategies that are more tailored to individual cognitive processing styles. Full article

Background: Working memory (WM) impairment is a potential consequence of motor aphasia resulting from left-hemisphere ischemic stroke. While verbal WM has been studied extensively in this disorder, research regarding non-verbal modalities remains limited, particularly visuospatial WM, tactile WM, and the relationship between them. Additionally, language impairments limit the ability to assess WM in aphasia patients, highlighting the necessity of non-verbal diagnostic tools in clinical practice. The current study’s objectives were to compare tactile and visuospatial WM in patients with post-stroke motor aphasia and to validate the one-hand version of the Tactual Span task as a clinical measure of WM. Methods: A total of 29 participants—14 with post-stroke motor aphasia and 15 healthy controls—completed a battery of cognitive tests, including the Raven’s Colored Progressive Matrices Test, the Visuospatial Span, the Tactual Span, and a visual 1-Back task. Results: There was significantly lower performance across all WM tasks in the aphasia group compared to the controls. Additionally, the Tactual Span successfully discriminated between patients and controls, showing sensitivity estimates of 92.9% and a specificity of 66.7%, with a cut-off score of 4.5 (AUC = 0.91), for the forward stage. The backward stage revealed a sensitivity of 71.4% and a specificity of 73.3%, with a cut-off score of 3.5 (AUC = 0.83). Conclusions: The findings may suggest that non-verbal WM impairment in post-stroke aphasia affects both visuospatial and tactile modalities similarly. Furthermore, the Tactual Span appears to be sensitive to left-hemisphere stroke damage, suggesting its potential utility as a clinical tool for WM assessment in patients with motor aphasia. Full article

Cognitive stimulation during the first years of school is key to the comprehensive development of children, as it impacts functions such as attention, memory, and intelligence, and contributes to their academic performance and social adaptation. The present study aims to evaluate how the use of the abacus and physical exercise improve cognitive skills in children in the second year of primary school. This study is a randomized clinical trial with a total of 82 children, of which 58.50% were boys and 41.50% girls in the first cycle of primary education, divided into an experimental group that carried out a combined program of training with abacus and physical exercise and a control group. Selective attention and concentration were measured with the D2 test, memory with the Spanish adaptation of the Reynolds Intelligence Scale, differential perception with the Differential Perception Test (CARA-R), and general intelligence with the Raven Progressive Matrices Test. The intervention showed statistically significant improvements in attention (Cohen’s d = 0.55), concentration (Cohen’s d = 0.04), memory (Cohen’s d = 0.53), differential perception (Cohen’s d = 0.77), impulsivity control (Cohen’s d = 0.90), and general intelligence (Cohen’s d = 0.43) within the experimental group, as well as significant differences between the training and control groups in post-intervention assessments. The combination of physical exercise and abacus training effectively improves children’s cognitive development. Full article

This study examines the effects of a working memory (WM) intervention package on the WM performance of students with Specific Learning Disabilities (SLDs). A pre-test post-test experimental design was applied with 40 students, divided equally into experimental (20 students) and control groups (20 students). Data were collected using the Working Memory Scale (WMS), Raven’s Standard Progressive Matrices (RSPM), and the Working Memory Performance Tasks Form (WM-PTF). The experimental group demonstrated statistically significant improvements in WMS and WM-PTF scores relative to the control group (p < 0.006, d = 1.96 for WMS; d = 1.42 for WM-PTF). Additionally, a positive correlation was observed between the increase in WM performance and intelligence scores, suggesting that intelligence may influence WM gains. In conclusion, the WM intervention package was significant in improving the WM performance of students with SLDs, indicating that such interventions have significant potential for enhancing cognitive functions and memory. These findings highlight the critical role of WM interventions in contributing to the cognitive development of students with learning difficulties. Full article

The present study utilized a recursive feature elimination approach in conjunction with a random forest algorithm to assess the efficacy of various features in predicting cognitive strategy usage in Raven’s Advanced Progressive Matrices. In addition to item response accuracy (RA) and response time (RT), five key eye-tracking metrics were examined: proportional time on matrix (PTM), latency to first toggle (LFT), rate of latency to first toggle (RLT), number of toggles (NOT), and rate of toggling (ROT). The results indicated that PTM, RLT, and LFT were the three most critical features, with PTM emerging as the most significant predictor of cognitive strategy usage, followed by RLT and LFT. Clustering analysis of these optimal features validated their utility in effectively distinguishing cognitive strategies. The study’s findings underscore the potential of specific eye-tracking metrics as objective indicators of cognitive processing while providing a data-driven method to identify strategies used in complex reasoning tasks. Full article

Sustainable education involves educating young people about the importance of varied physical activities and developing long-term skills for an active lifestyle. We choose basketball as a method for sustainable education because it is a sport with diverse technical procedures and tactical actions anda game that plays a significant role in cognitive functional development. This study aims to modernize physical education and sports education to meet current trends and needs. A modern approach to lessons can contribute to the mental and motor development of young people, forming individuals who value movement for health and physical well-being. Thus, integrating VR into physical education lessons (using the means of basketball) represents a paradigm shift in how students prepare and improve their motor function. The study focuses on non-specialized higher education, combining the cognitive benefits of sports with sustainable practices, as we found his to be a gap in our literature review. The experimental program used Raven’s Progressive Matrices, a cognitive ability test, to measure general intelligence. The data were collected on two groups of children (control and experimental, at the beginning of the experiment and after 39 lessons of 100 min each). The t Test results applied in SPSS showed a significant increase in average scores for Raven’s Progressive Matrices after performing the motor program using basketball-specific means, especially for the experimental group. In conclusion, basketball can be a valuable tool for improving cognitive abilities, along with academic and social stimulation, being the key to complete intellectual development. Full article

Background/Objectives: Considering the importance of physical activity on the development of cognitive functions in children, the aim of this study was to assess the effects of a ten-week training program using the Interactive Floor device (© Funtronic), i.e., a kinesthetic educational game, and aerobic activity training on executive functions in 9-year-old children. Given current knowledge of the advantages of gamification and on-task switching, stronger improvement was expected for the Interactive Floor device than aerobic exercise activities. Methods: Sixty-four children (29 boys/35 girls) were randomly assigned to the Interactive Floor (n = 22), Aerobic Training (n = 22), or Control groups (n = 20). The participants had their cognitive abilities assessed twice (pre- and post-intervention) using computer tests from the Vienna Test System (VTS) and subtests from the Wechsler Intelligence Scale for Children^® Fifth Edition (WISC^®-V). From VTS, the Stroop Test was used to measure inhibition and attentional control, while the Corsi Block test assessed visuospatial short-term working memory. To assess auditory working memory, the Digit Span subtest from the WISC^®-V was applied. Additionally, fluid intelligence was estimated using Raven’s Progressive Matrices. Results: Repeated-measures mixed ANOVA and post hoc tests with Bonferroni correction for multiple comparisons showed that all intervention program groups improved in terms of intelligence and non-verbal abstract reasoning. The second significant finding in this study was that especially children from the Interactive Floor group developed their executive functions, i.e., inhibition and attentional control as well as their spatial short-term memory capacity. Conclusions: The results suggest that a combination of both physical exercise and cognitive games in the Interactive Floor group resulted in greater improvement in cognitive abilities in children than aerobic exercise or physical education lessons. It seems that a multidisciplinary approach combining physical and cognitive stimulation effectively promotes child development. Future programs aiming to improve cognitive skills in children should consider incorporating interactive and engaging activities that stimulate both the body and the mind. Full article

Background: Attention deficit/hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder characterised by deficits in attention, hyperactivity, and impulsivity. Current treatments, such as stimulant medication and behavioural therapy, ameliorate symptoms but do not address the core cognitive dysfunctions. This study aimed to investigate the effects of two computerised neurocognitive training programs, attention functions training and executive functions training, in children with ADHD. Methods: Eighty children with ADHD (ages 8–13) were randomly assigned to one of three groups: Attention functions training (AFT), targeting sustained, selective-spatial, orienting, and executive attention; executive functions training (EFT), focusing on working memory, cognitive flexibility, and problem solving; or a passive control group. Training sessions were administered in small groups twice a week for nine weeks. Participants underwent comprehensive assessments of attention (Continuous Performance Test, Conjunctive Visual Search Task), executive functions (Corsi Block-Tapping Tasks), nonverbal reasoning (Raven’s Colored Progressive Matrices), parent-rated behavioural symptoms, and arithmetic performance at baseline, post-intervention, and follow-up. Results: The AFT group demonstrated significant improvements in sustained and selective-spatial attention, nonverbal reasoning, inattentive symptoms, and arithmetic performance, and most improvements persisted at follow-up. The EFT group showed gains in nonverbal reasoning and inattentive symptoms, although no improvements were documented in working memory or in parent ratings of executive functions. Conclusions: The AFT program that addressed core attentional functions in children with ADHD produced robust cognitive and behavioural benefits, whereas the EFT program yielded behavioural benefits and a limited improvement in executive functions. Future research should explore different training protocols for broader gains in executive functions. These findings support the potential of theory-driven, structured neurocognitive training targeting basic cognitive functions as an effective small-group intervention for ADHD. Full article

Extended testing time in Raven’s Progressive Matrices (RPM) can lead to increased fatigue and reduced motivation, which may impair cognitive task performance. This study explores the application of artificial intelligence (AI) in RPM by combining eye-tracking technology with machine learning (ML) models, aiming to explore new methods for improving the efficiency of RPM testing and to identify the key metrics involved. Using eye-tracking metrics as features, ten ML models were trained, with the XGBoost model demonstrating superior performance. Notably, we further refined the period of interest and reduced the number of metrics, achieving strong performance, with accuracy, precision, and recall all above 0.8, using only 60% of the response time and nine eye-tracking metrics. This study also examines the role of several key metrics in RPM and offers valuable insights for future research. Full article

Iodine and fluorine, as halogen elements, are often coexisting in water environments, with nearly 200 million people suffering from fluorosis globally, and, in 11 countries and territories, adolescents have iodine intakes higher than that required for the prevention of iodine deficiency disorders. It has been suggested that excess iodine and/or fluorine can affect thyroid health and intellectual development, especially in children, but their combined effect has been less studied in this population. This study investigated 399 school-age children in Tianjin, China, collected drinking water samples from areas where the school-age children lived, and grouped the respondents according to iodine and fluorine levels. Thyroid health was measured using thyroid hormone levels, thyroid volume, and the presence of thyroid nodules; intelligence quotient (IQ) was assessed using the Raven’s Progressive Matrices (CRT) test; and monoamine neurotransmitter levels were used to explore the potential relationship between thyroid health and intelligence. Multiple linear regression and restricted cubic spline (RCS) analyses showed that iodine and fluorine were positively correlated with thyroid volume and the incidence of thyroid nodules in school-age children, and negatively correlated with IQ; similar results were obtained in the secondary subgroups based on urinary iodine and urinary fluoride levels. Interaction analyses revealed a synergistic effect of iodine and fluorine. A pathway analysis showed that iodine and fluorine were negatively associated with the secretion of free triiodothyronine (FT3) and free tetraiodothyronine (FT4), which in turn were negatively associated with the secretion of thyroid-stimulating hormone (TSH). Iodine and fluorine may affect IQ in school-aged children through the above pathways that affect thyroid hormone secretion; of these, FT3 and TSH were negatively correlated with IQ, whereas FT4 was positively correlated with IQ. The relationship between thyroid hormones and monoamine neurotransmitters may involve the hypothalamic–pituitary–thyroid axis, with FT4 hormone concentrations positively correlating with dopamine (DA), norepinephrine (NE), and 5-hydroxytryptophan (5-HT) concentrations, and FT3 hormone concentrations positively correlating with DA concentrations. Monoamine neurotransmitters may play a mediating role in the effects of iodine and fluoride on intelligence in schoolchildren. However, this study has some limitations, as the data were derived from a cross-sectional study in Tianjin, China, and no attention was paid to the reciprocal effects of iodine and fluorine at different doses on thyroid health and intelligence in schoolchildren in other regions. Full article

Background/Objectives: Cognitive impairment in spinocerebellar ataxia patients has been reported since the early-disease stage. We aimed to assess cognitive differences in SCA1 and SCA2 patients. Methods: We performed neuropsychological (NPS) and neurophysiological (auditory event-related potentials, aERPs) assessments in 16 SCA1 and 18 SCA2 consecutive patients. Furthermore, clinical information (age at onset, disease duration, motor disability) was collected. Results: NPS tests yielded scores in the normal range in both groups but with lower scores in the Frontal Assessment Battery (p < 0.05) and Visual Analogue Test for Anosognosia for motor impairment (p < 0.05) in SCA1, and the Trail Making Test (p < 0.01), Raven’s progressive matrices (p < 0.01), Stroop (p < 0.05), and emotion attribution tests (p < 0.05) in SCA2. aERPs showed lower N100 amplitude (p < 0.01) and prolonged N200 latency (p < 0.01) in SCA1 compared with SCA2. Clinically, SCA2 had more severe motor disability than SCA1 in the Assessment and Rating of Ataxia Scale. Conclusions: SCA2 showed more significant difficulties in attentional, visuospatial, and emotional function, and greater motor impairment. In contrast, SCA1 showed less cognitive flexibility/phasic ability, probably affected by a more severe degree of dysarthria. The same group revealed less neural activity during nonconscious attentional processing (N100-N200 data), suggesting greater involvement of sensory pathways in discriminating auditory stimuli. NFS did not correlate with NPS findings, implying an independent relationship. However, the specific role of the cerebellum and cerebellar symptoms in NPS test results deserves more focus. Full article

The utilization of non-invasive neurostimulation techniques, such as transcranial magnetic stimulation (TMS), is increasingly prevalent in psychiatry due to their efficacy and safety. Although the precise therapeutic mechanisms remain partially unclear, repetitive TMS, particularly high-frequency stimulation, may enhance cognitive functions, contributing to therapeutic benefits. This within-subjects study examined the impact of TMS on cognitive and symptomatic outcomes in patients with obsessive–compulsive disorder (OCD), substance use disorder (SUD), and major depressive disorder (MDD). A total of 44 patients underwent cognitive tests and symptom assessments before and after an intensive four-week TMS treatment phase, followed by a four-week maintenance phase. Cognitive assessments included Raven’s matrices, verbal fluency, and digit span tests, while symptom severity was measured using the Italian version of the SCL-90-R. Decision-making performance was also evaluated by administering a delay discounting (DD) test. Principal component analysis was used to generate a dimensional characterization of subjects along cognitive and symptom-related axes before and after treatment. The results indicated that TMS significantly improved symptom scores, but no significant cognitive enhancement was observed. Statistical analysis based on linear mixed-effects models confirmed these findings, showing a significant fixed effect of TMS treatment on symptoms but not on cognitive performance. DD metrics remained unchanged. These findings suggest that while TMS effectively alleviates clinical symptoms, it does not produce consistent or appreciable enhancement of cognitive functions in these protocols. This study highlights the need for more personalized and combined therapeutic approaches to maximize the benefits of TMS, potentially incorporating cognitive enhancement strategies. Future studies will be useful to explore whether the results we obtained are valid for other pathologies, cognitive tests, and stimulation protocols. Full article