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There is a paucity of literature on neuropsychological functions in youth with obsessive-compulsive disorder (OCD). Most studies have small sample sizes and have yielded inconsistent results. A recent meta-analysis failed to identify any significant impairments. We studied neuropsychological functions (attention, verbal fluency, working memory, set-shifting, response inhibition, planning and visuospatial abilities) in a large sample of youth with OCD (n = 97) in comparison with controls who did not have OCD (n = 50). After controlling for the confounding effects (age, sex, severity of depression and anxiety, presence of comorbid attention-deficit hyperactivity disorder, any tic disorder, number of comorbidities, and non-verbal intelligence measured by the standard progressive matrices), the youth with OCD significantly underperformed with large effect sizes compared to controls, only on the test of 'behavioral reversal', measured by the Object Alternation Test (trials to reach criterion p 0.001, Cohen's d = 1.49; perseverative errors p 0.001, Cohen's d = 1.31). Patients also underperformed on a task of planning, but it was statistically insignificant. Certain comorbid disorders, antipsychotic use and age of onset did not influence neuropsychological performance significantly. Our study demonstrates that youth with OCD may have impaired 'set-shifting' in the form of 'behavioral reversal' and possibly planning, findings broadly consistent with the literature in adults and with the fronto-striatal model of OCD. It is possible that youth may accumulate more neuropsychological impairments over a period, as the illness continues into adulthood.

Lead exposure is one of the most concerning public health problems worldwide, particularly among children. Yet the impact of chronic lead exposure on the thyroid status and related intelligence quotient performance among school-age children remained elusive.The aim of this study was to evaluate the influence of lead exposure on the thyroid hormones, amino acid neurotransmitters balances, and intelligence quotient (IQ) among school-age children living nearby a lead-zinc mining site. Other factors such as rice lead levels, mothers' smoking behavior, and diet intake were also investigated.A total of 255 children aged 7-12 years old were recruited in this study. Blood lead level (BLL), thyroid hormones including free triiodothyronine (FT3), free thyroxine (FT4) and thyroid stimulating hormone (TSH), and amino acid neurotransmitters such as glutamate (Glu), glutamine (Gln), and γ-aminobutyric acid (GABA) were measured using graphite furnace atomic absorption spectroscopy (GFAAS), chemiluminescence immunoassay, high performance liquid chromatography (HPLC). Raven's standard progressive matrices (SPM) and the questionnaire were used to determine IQ and collect related influence factors.The average BLL of children was 84.8 μg/L. The occurrence of lead intoxication (defined as the BLL ≥ 100 μg/L) was 31.8%. Serum TSH levels and IQ of lead-intoxicated children were significantly lower than those without lead toxicity. The GABA level of girls with the lead intoxication was higher than those with no lead-exposed group. Correlation analyses revealed that BLL were inversely associated with the serum TSH levels (R= -0.186, p0.05), but positively related with IQ grades (R = 0.147, p0.05). Moreover, BLL and Glu were inversely correlated with IQ. In addition, this study revealed four factors that may contribute to the incidence of lead intoxication among children, including the frequency of mother smoking (OR = 3.587, p0.05) and drinking un-boiled stagnant tap water (OR = 3.716, p0.05); eating fresh fruits and vegetables (OR = 0.323, p0.05) and soy products regularly (OR = 0.181, p0.05) may protect against lead intoxication.Lead exposure affects the serum TSH, GABA levels and IQ of school-aged children. Developing good living habits, improving environment, increasing the intake of high-quality protein and fresh vegetable and fruit may improve the condition of lead intoxication.

Background: We previously reported the enhanced effects of physical exercise when combined with music (ExM) on cognitive function in community-dwelling normal elderly people compared to exercise alone. Following that study, participants voluntarily continued the ExM classes for 5 years. Objective: To identify the effects of a 5-year ExM intervention on cognitive function in normal elderly people. Methods: Fifty-four subjects continued the ExM classes once a week for 5 years (ExM group). Thirty-three subjects retired from the ExM class during the 5 years (Retired group). Twenty-one subjects never participated in any intervention over the 5 years (No-exercise group). Cognitive function and ADLs were assessed using neuropsychological batteries and the functional independence measure (FIM), respectively. The voxel-based specific regional analysis system for Alzheimer’s disease (VSRAD) was used to investigate medial temporal lobe atrophy. Results: Analyses of the raw scores after the 5-year intervention showed significant differences between the ExM and No-exercise groups in their MMSE scores, Raven’s colored progressive matrices (RCPM) time, logical memory (LM)-I, as well as the total and physical exercise sub-scores of the FIM. Analysis of subjects aged 70– 79 years at the beginning of this project showed significantly quicker performance on the RCPM in the ExM compared to No-exercise groups. The correlation coefficients between the total number of ExM sessions attended and the degree of changes in physical, neuropsychological, and VSRAD scores were significant for RCPM performance time and LM-I scores. Conclusion: Long-term ExM intervention reinforces multifaceted cognitive function in normal elderly people, and is especially beneficial for psychomotor speed.

Background Patients with aphasia can present a type of acalculia referred to as aphasic acalculia. Aims To investigate the correlation and to test regression models for one- and two-digit calculation skills using verbal and nonverbal predictors. Methods and Procedures We selected an aphasia sample of 119 men and 81 women with a mean age of 57.37 years (SD = 15.56) and an average level of education of 13.52 years (SD = 4.08). Spanish versions of the Western Aphasia Battery and Boston Diagnostic Aphasia Examination, plus a Written Calculation test, were individually administered. The calculation section of the Western Aphasia Battery and the Written Calculation tests were used to pinpoint calculation difficulties. Outcomes and Results Calculation difficulties were more severe in Global and Mixed non-fluent aphasia; they were very similar in Broca, Conduction, and Amnesic Aphasia. All correlations between the two calculation subtests and the other subtests of the Western Aphasia Battery were statistically significant. Calculation subtests correlated negatively with age and positively with schooling. Sex and time post-onset did not show any correlation with the calculation scores. Education, Reading, Block Design, and Raven’s Colored Progressive Matrices were significant predictors of Western Aphasia Battery Calculation. Writing was the only significant predictor of the Written Calculation scores. Conclusions Nonverbal abilities were predictors of calculation tests, whereas agraphia defects were predictors of the Written Calculation test. Therefore, calculation abilities can be regarded both as written language-dependent and verbal language-independent.

International audience; Problem-solving strategies in visual reasoning tasks are often studied based on the analysis of eye movements, which yields high-quality data but is costly and difficult to implement on a large scale. We devised a new graphical user interface for matrix reasoning tasks where the analysis of computer mouse movements makes it possible to investigate item exploration and, in turn, problem-solving strategies. While relying on the same active perception principles underlying eye-tracking (ET) research, this approach has the additional advantages of being user-friendly and easy to implement in real-world testing conditions, and records only voluntary decisions. A pilot study confirmed that embedding items of Raven's Advanced Progressive Matrices (APM) in the interface did not significantly alter its psychometric properties. Experiment 1 indicated that mouse-based exploration indices, when used to assess two major problem-solving strategies in the APM, are related to final performance—as has been found in past ET research. Experiment 2 suggested that constraining some features of the interface favored the adoption of the more efficient solving strategy for some participants. Overall, the findings support the relevance of the present methodology for accessing and manipulating problem-solving strategies.

Objectives: Deficits in facial emotion recognition and Theory of Mind are frequent in patients with epilepsy. Although this evidence, studies on pediatric age are few and the relation between these abilities and other cognitive domain remains to be better elucidated. The purpose of our study is to evaluate facial emotion recognition and Theory of Mind in children and adolescents with focal epilepsy, and correlate them with intelligence and executive functions. Materials and methods: Our work is a cross-sectional observational study. Sixty-two children and adolescents aged between 7-16 years diagnosed by focal epilepsy and 32 sex/age-matched controls were recruited. All participants were administered a standardized battery tests to assess social cognition (NEPSY-II), executive functions (EpiTrack Junior) and cognitive non-verbal level (Raven Progressive Matrices). Results: Emotion recognition mean score was significantly lower in the epilepsy group than in the controls to Student's t-test (p

Background The objective of the present work was to determine whether fluid intelligence scores and individual temperamental traits may be used to predict drivers’ reaction times in movement anticipation tasks. Material and Methods The study encompassed 68 young female drivers (aged 20–26 years), who had received their driver’s licenses at least 2 years prior. Anticipatory performance was evaluated using the Perception Anticipation Movement Test (PAMT) consisting of 3 sets of computer tasks differing in the speed of the moving objects. The level of fluid intelligence was determined using Raven’s Standard Progressive Matrices, and the temperamental traits with the Pavlovian Temperament Survey. Results Intelligence was found to be significantly correlated with reaction time only in the second PAMT task set, for which it was also a good predictor. Findings suggested that a higher level of fluid intelligence in young female drivers was associated with longer reaction times in the movement anticipation task with objects moving at the medium speed level. Temperamental traits did not correlate with reaction times in all movement anticipation tasks, and they did not explain the participants’ performance in the PAMT task sets. Conclusions This study expands the current literature by assessing the relationship between fluid intelligence, temperamental traits and reaction times in movement anticipation tasks with objects moving at different speeds. The outcomes of this study are discussed together with those of previous research. Med Pr. 2020;71(4):421–7

Electroencephalography (EEG) microstates (MSs) are defined as quasi-stable topographies that represent global coherent activation. Alternations in EEG MSs have been reported in numerous neuropsychiatric disorders. Transferring the results of these studies into clinical practice requires not only high reliability but also sufficient individual specificity. Nevertheless, whether the amount of data used in microstate analysis influences reliability and how much individual information is provided by EEG MSs are unclear. In the current study, we aimed to assess the within-subject consistency and between-subject differences in the characteristics of EEG MSs. Two sets of eyes-closed resting-state EEG recordings were collected from 54 young, healthy participants on two consecutive days. The Raven Advanced Progressive Matrices test was conducted to assess general fluid intelligence (gF). We obtained four MSs (labeled A, B, C and D) through EEG microstate analysis. EEG MS characteristics including traditional features (the global explained variances, mean durations, coverages, occurrences and transition probabilities), the Hurst exponents and temporal dynamic features (the autocorrelation functions and the partial autocorrelation functions) were calculated and evaluated. The data with a duration greater than 2 min showed moderate to high reliability and individual specificity. The mean duration and coverage of MS C were significantly correlated with the gF score. The dynamic features showed a higher identification accuracy and were more significantly correlated with gF than the traditional MS features. These findings reveal that EEG microstate characteristics are reliably unique in single subjects and possess abundant inter-individual variability.

Background There is growing interest in identifying sensitive composite cognitive tests to serve as primary endpoints in preclinical Alzheimer’s disease (AD) treatment trials. We reported previously a composite cognitive test score sensitive to tracking preclinical AD decline up to 5 years prior to clinical diagnosis. Here we expand upon and refine this work, empirically deriving a composite cognitive test score sensitive to tracking preclinical AD decline up to 11 years prior to diagnosis and suitable for use as a primary endpoint in a preclinical AD trial. Methods This study used a longitudinal approach to maximize sensitivity to tracking progressive cognitive decline in people who progressed to the clinical stages of AD (n = 868) compared to those who remained cognitively unimpaired during the same time period (n = 989), thereby correcting for normal aging and practice effects. Specifically, we developed the Alzheimer’s Prevention Initiative Preclinical Composite Cognitive test (APCC) to measure very early longitudinal cognitive decline in older adults with preclinical AD. Data from three cohorts from Rush University were analyzed using a partial least squares (PLS) regression model to identify optimal composites within different time periods prior to diagnosis, up to 11 years prior to diagnosis. The mean-to-standard deviation ratio (MSDRs) is an indicator of sensitivity to change and was used to inform the final calculation of the composite score. Results The optimal composite, the APCC, is calculated: 0.26*Symbol Digit Modalities + 2.24*MMSE Orientation to Time + 2.14*MMSE Orientation to Place + 0.53*Logical Memory Delayed Recall + 1.36* Word List-Delayed Recall + 0.68*Judgment of Line Orientation + 1.39*Raven’s Progressive Matrices Matrices (subset of 9 items from A and B). The MSDR of the APCC in a population of preclinical AD individuals who eventually progress to cognitive impairment, compared to those who remained cognitively unimpaired during the same time period, was − 1.10 over 1 year. Conclusions The APCC is an empirically derived composite cognitive test score with high face validity that is sensitive to preclinical AD decline up to 11 years prior to diagnosis of the clinical stages of AD. The components of the APCC are supported by theoretical understanding of cognitive decline that occurs during preclinical AD. The APCC was used as a primary outcome in the API Generation Program trials.

Raven’s Progressive Matrices (RPM) is highly correlated with human intelligence, and it has been widely used to measure the abstract reasoning ability of humans. In this paper, to study the abstract reasoning capability of deep neural networks, we propose the first unsupervised learning method for solving RPM problems. Since the ground truth labels are not allowed, we design a pseudo target based on the prior constraints of the RPM formulation to approximate the ground-truth label, which effectively converts the unsupervised learning strategy into a supervised one. However, the correct answer is wrongly labelled by the pseudo target, and thus the noisy contrast will lead to inaccurate model training. To alleviate this issue, we propose to improve the model performance with negative answers. Moreover, we develop a decentralization method to adapt the feature representation to different RPM problems. Extensive experiments on three datasets demonstrate that our method even outperforms some of the supervised approaches. Our code is available at https://github.com/visiontao/ncd .

Epidemiological studies mostly focus on single environmental exposures. This study aims to systematically assess associations between a wide range of prenatal and childhood environmental exposures and cognition. The study sample included data of 1298 mother-child pairs, children were 6–11 years-old, from six European birth cohorts. We measured 87 exposures during pregnancy and 122 cross-sectionally during childhood, including air pollution, built environment, meteorology, natural spaces, traffic, noise, chemicals and life styles. The measured cognitive domains were fluid intelligence (Raven's Coloured Progressive Matrices test, CPM), attention (Attention Network Test, ANT) and working memory (N-Back task). We used two statistical approaches to assess associations between exposure and child cognition: the exposome-wide association study (ExWAS) considering each exposure independently, and the deletion-substitution-addition algorithm (DSA) considering all exposures simultaneously to build a final multiexposure model. Based on this multiexposure model that included the exposure variables selected by ExWAS and DSA models, child organic food intake was associated with higher fluid intelligence (CPM) scores (beta = 1.18; 95% CI = 0.50, 1.87) and higher working memory (N-Back) scores (0.23; 0.05, 0.41), and child fast food intake (−1.25; −2.10, −0.40), house crowding (−0.39; −0.62, −0.16), and child environmental tobacco smoke (ETS) (−0.89; −1.42, −0.35), were all associated with lower CPM scores. Indoor PM2.5 exposure was associated with lower N-Back scores (−0.09; −0.16, −0.02). Additional associations in the unexpected direction were found: Higher prenatal mercury levels, maternal alcohol consumption and child higher perfluorooctane sulfonic acid (PFOS) levels were associated with better cognitive performance; and higher green exposure during pregnancy with lower cognitive performance. This first comprehensive and systematic study of many prenatal and childhood environmental risk factors suggests that unfavourable child nutrition, family crowdedness and child indoor air pollution and ETS exposures adversely and cross-sectionally associate with cognitive function. Unexpected associations were also observed and maybe due to confounding and reverse causality., Graphical abstract Prenatal and childhood exposome-wide associations with child fluid intelligence (CPM). The exposures selected by Deletion-substitution-addition algorithm are represented by a triangle. Child fluid intelligence is mainly associated with childhood exposome, fast-food (negative association, left sided) and organic food consumption (positive, right sided), house crowding (negative, left sided), and child environmental tobacco smoke (ETS, negative, left sided). Image 1, Highlights • Previous evidence for environmental risk factor associations with neurodevelopment is based on analyses of single exposures. • We systematically analysed multiple environmental exposures in relation to child neurodevelopment. • The findings describe a list of outcome-related exposures: Diet, house crowding, indoor air pollution and tobacco smoke. • The findings show methodological complexities of analysing multiple exposures and their associations with neurodevelopment.

Self-talk can improve cognitive performance, but the underlying mechanism of such improvement has not been investigated. This study aimed to elucidate the effects of self-talks on functional connectivity associated with cognitive performance. We used the short form of Progressive Matrices Test (sRPM) to measure differences in performance improvements between self-respect and self-criticism. Participants were scanned using functional magnetic resonance imaging in the following order: baseline, during-sRPM1, post-sRPM1, self-respect or self-criticism, during-sRPM2, and post-sRPM2. Analysis was conducted to identify the self-talks' modulatory effects on the reward-motivation, default mode, and central-executive networks. Increase in sRPM2 score compared to sRPM1 score was observed only after self-criticism. The self-talk-by-repetition interaction effect was not found for during-sRPM, but found for post-sRPM; decreased nucleus accumbens-based connectivity was shown after self-criticism compared with self-respect. However, the significant correlations between the connectivity change and performance change appeared only in the self-respect group. Our findings showed that positive self-talk and negative self-talk differently modulate brain states concerning cognitive performance. Self-respect may have both positive and negative effects due to enhanced executive functions and inaccurate confidence, respectively, whereas self-criticism may positively affect cognitive performance by inducing a less confident state that increases internal motivation and attention.

Musical practice may benefit not only domain-specific abilities, such as pitch discrimination and music performance, but also domain-general abilities, like executive functioning and memory. Behavioral and neural changes in visual processing have been associated with music-reading experience. However, it is still unclear whether there is a domain-specific visual ability to process musical notation. This study investigates the specificity of the visual skills relevant to simple decisions about musical notation. Ninety-six participants varying in music-reading experience answered a short survey to quantify experience with musical notation and completed a test battery that assessed musical notation reading fluency and accuracy at the level of individual note or note sequence. To characterize how this ability may relate to domain-general abilities, we also estimated general intelligence (as measured with the Raven's Progressive Matrices) and general object-recognition ability (as measure by a recently proposed construct o). We obtained reliable measurements on our various tasks and found evidence for a domain-specific ability of the perception of musical notation. This music-reading ability and domain-general abilities were found to contribute to performance on specific tasks differently, depending on the level of experience reading music.

Whether superior intelligence is associated with global lower resource consumption in the brain remains unresolved. In order to tap fluid intelligence "Gf" cortical networks, 50 neurologically healthy adults were functionally neuro-imaged while solving a modified version of the Raven Advanced Progressive Matrices. "Gf" predicted increased activation of key components of the dorsal attention network (DAN); and age predicted extent of simultaneous deactivation in key components of the default mode network (DMN) during problem-solving. However, there was no significant difference in mean levels of whole brain activation even when cognitively taxed. This suggests that the brain may dynamically switch resource consumption between these anti-correlated DAN and DMN networks, concentrating processing power in regions critical to enhanced cognitive performance. We term this mechanism of activation increase and decrease of these anti-correlated DAN/DMN systems, modulated by "Gf" and age, as "distributed neural efficiency". This may achieve local cost-efficiency trade-offs, while maintaining global energy homeostasis.

Background Socioeconomic factors and nutritional status have been associated with childhood cognitive development. However, previous Malaysian studies had been conducted with small populations and had inconsistent results. Thus, this present study aims to determine the association between socioeconomic and nutritional status with cognitive performance in a nationally representative sample of Malaysian children. Methods A total of 2406 Malaysian children aged 5 to 12 years, who had participated in the South East Asian Nutrition Surveys (SEANUTS), were included in this study. Cognitive performance [non-verbal intelligence quotient (IQ)] was measured using Raven’s Progressive Matrices, while socioeconomic characteristics were determined using parent-report questionnaires. Body mass index (BMI) was calculated using measured weight and height, while BMI-for-age Z-score (BAZ) and height-for-age Z-score (HAZ) were determined using WHO 2007 growth reference. Results Overall, about a third (35.0%) of the children had above average non-verbal IQ (high average: 110–119; superior: ≥120 and above), while only 12.2% were categorized as having low/borderline IQ ( 3SD), children from very low household income families and children whose parents had only up to primary level education had the highest prevalence of low/borderline non-verbal IQ, compared to their non-obese and higher socioeconomic counterparts. Parental lack of education was associated with low/borderline/below average IQ [paternal, OR = 2.38 (95%CI 1.22, 4.62); maternal, OR = 2.64 (95%CI 1.32, 5.30)]. Children from the lowest income group were twice as likely to have low/borderline/below average IQ [OR = 2.01 (95%CI 1.16, 3.49)]. Children with severe obesity were twice as likely to have poor non-verbal IQ than children with normal BMI [OR = 2.28 (95%CI 1.23, 4.24)]. Conclusions Children from disadvantaged backgrounds (that is those from very low income families and those whose parents had primary education or lower) and children with severe obesity are more likely to have poor non-verbal IQ. Further studies to investigate the social and environmental factors linked to cognitive performance will provide deeper insights into the measures that can be taken to improve the cognitive performance of Malaysian children.

To assess non-verbal intelligence and its relationship with nutritional status, nutrient intakes and parents’ education in school-children. A cross-sectional, observational study was conducted in children between 6–11 years, without any known chronic disorder or intellectual disability. Data were collected regarding parents’ education, anthropometry and dietary intakes. Non-verbal intelligence was assessed by Raven’s Coloured Progressive Matrices (RCPM). In 323 enrolled children (52.9% boys), a significant positive association was observed between RCPM scores and parents’ education (father’s rs=0.14, mother’s rs=0.22), height Z-scores (rs=0.14) and dietary intakes of zinc (rs=0.14), iron (rs=0.12) and folate (rs=0.14). Height in normal range, higher zinc, iron and folate intakes, and parental higher educational levels were associated with higher non-verbal intelligence scores.

Background: Previous research has demonstrated an association of scores on a visual test of nonverbal reasoning, Raven’s Progressive Matrices (RPM), with scores on open-set sentence recognition in quiet for adult cochlear implant (CI) users as well as for adults with normal hearing (NH) listening to noise-vocoded sentence materials. Moreover, in that study, CI users demonstrated poorer nonverbal reasoning when compared with NH peers. However, it remains unclear what underlying neurocognitive processes contributed to the association of nonverbal reasoning scores with sentence recognition, and to the poorer scores demonstrated by CI users. Objectives: Three hypotheses were tested: (1) nonverbal reasoning abilities of adult CI users and normal-hearing (NH) age-matched peers would be predicted by performance on more basic neurocognitive measures of working memory capacity, information-processing speed, inhibitory control, and concentration; (2) nonverbal reasoning would mediate the effects of more basic neurocognitive functions on sentence recognition in both groups; and (3) group differences in more basic neurocognitive functions would explain the group differences previously demonstrated in nonverbal reasoning. Method: Eighty-three participants (40 CI and 43 NH) underwent testing of sentence recognition using two sets of sentence materials: sentences produced by a single male talker (Harvard sentences) and high-variability sentences produced by multiple talkers (Perceptually Robust English Sentence Test Open-set, PRESTO). Participants also completed testing of nonverbal reasoning using a visual computerized RPM test, and additional neurocognitive assessments were collected using a visual Digit Span test and a Stroop Color-Word task. Multivariate regression analyses were performed to test our hypotheses while treating age as a covariate. Results: In the CI group, information processing speed on the Stroop task predicted RPM performance, and RPM scores mediated the effects of information processing speed on sentence recognition abilities for both Harvard and PRESTO sentences. In contrast, for the NH group, Stroop inhibitory control predicted RPM performance, and a trend was seen towards RPM scores mediating the effects of inhibitory control on sentence recognition, but only for PRESTO sentences. Poorer RPM performance in CI users than NH controls could be partially attributed to slower information processing speed. Conclusions: Neurocognitive functions contributed differentially to nonverbal reasoning performance in CI users as compared with NH peers, and nonverbal reasoning appeared to partially mediate the effects of these different neurocognitive functions on sentence recognition in both groups, at least for PRESTO sentences. Slower information processing speed accounted for poorer nonverbal reasoning scores in CI users. Thus, it may be that prolonged auditory deprivation contributes to cognitive decline through slower information processing.

Background: Little is known about the association between adrenarche and cognition in general populations of children. We therefore studied the associations of dehydroepiandrosterone sulfate (DHEAS), androstenedione (A4), testosterone, insulin-like growth factor-1 (IGF-1), and adrenarche with cognition among prepubertal children. Methods: These cross-sectional analyses are based on baseline data of the Physical Activity and Nutrition in Children Study. A total of 387 children (183 girls, 204 boys) were included in the analyses. Raven’s Coloured Progressive Matrices (CPM) score was used to assess nonverbal reasoning. Serum adrenal androgens and IGF-1 concentrations were measured and clinical signs of androgen action were evaluated. Results: Higher IGF-1 among boys (β = 0.149, p =0.033) was related to a better Raven’s CPM score after adjustment for age and parental education. Adrenal androgens in girls or boys or IGF-1 in girls were not associated with the score. There were no differences in Raven’s CPM score between children with biochemical adrenarche (DHEAS ≥1.08 µmol/L; ≥40 µg/dL) or with clinical signs of androgen action and children without them. Conclusion: The results suggest that higher serum IGF-1 among boys is related to better cognition in prepubertal children. We could not provide evidence for the associations of adrenal maturation with cognition in prepubertal children.

We investigated mental rotation in children by systematically varying the adult cube aggregate's set size, rotation angle, and picture/depth plane rotations in a new test. Eighty 4- to 11-year-old mainly middle-class children (British Indian and British African majority and white minority; 40 girls and 40 boys) were assessed using the new matching-to-sample Colored Mental Rotation Test (CMRT) and, for comparison, the Raven Colored Progressive Matrices Test (RCPM). A high Cronbach's alpha of .94 and the Rasch model demonstrated item homogeneity of the CMRT. As expected, there were main effects of age showing increases in accuracy and of sex as boys outperformed girls. A main effect of set size showed that from age four until age 10 as four-cube aggregates proved to be the most economical three-dimensional (3D) object for mental rotation. Several higher-order interactions all involved four-cube aggregates, for example, 3D cube element protrusions had the largest effect in the four-cube-aggregate. We thus suggest that the magical number four (Cowan, 2001) as an attentional limit may also be valid in mental rotation and linked to the 'Good Gestalt' design of the four-cube aggregate. The cross-validation of CMRT with the RCPM showed high correlations increasing from .69 in 4- to 5-year-olds to .77 in 10- to 11-year-olds. Interestingly, 4- to 5-year-olds girls scored higher in the Raven test of nonverbal reasoning than in the CRMT scores with 3D cube aggregates demonstrating the particular complexity of 3D pictorial space. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Background Spinal muscular atrophy (SMA) is a chronic, neuromuscular disease characterized by degeneration of spinal cord motor neurons, resulting in progressive muscular atrophy and weakness. SMA1 is the most severe form characterized by significant bulbar, respiratory, and motor dysfunction. SMA1 prevents children from speaking a clearly understandable and fluent language, with their communication being mainly characterized by eye movements, guttural sounds, and anarthria (type 1a); severe dysarthria (type 1b); and nasal voice and dyslalia (type 1c). The aim of this study was to analyze for the first time cognitive functions, language comprehension, and speech in natural history SMA1 children according to age and subtypes, to develop cognitive and language benchmarks that provide outcomes for the clinical medication trials that are changing SMA1 course/trajectory. Methods This is a retrospective study including 22 children with SMA1 (10 affected by subtype 1a-1b: AB and 12 by 1c: C) aged 3–11 years in clinical stable condition with a coded way to communicate “yes” and “no”. Data from the following assessments have been retrieved from patient charts: one-dimensional Raven test (RCPM), to evaluate cognitive development (IQ); ALS Severity Score (ALSSS) to evaluate speech disturbances; Brown Bellugy modified for Italian standards (TCGB) to evaluate language comprehension; and Children’s Hospital of Philadelphia Infant Test of Neuromuscular Disorders (CHOP-INTEND) to assess motor functioning. Results SMA 1AB and 1C children were similar in age, with the former characterized by lower CHOP-INTEND scores compared to the latter. All 22 children had collaborated to RCPM and their median IQ was 120 with no difference (p = 0.945) between AB and C. Global median score of the speech domain of the ALSSS was 5; however, it was 2 in AB children, being significantly lower than C (6.5, p < 0.001). TCGB test had been completed by 13 children, with morphosyntactic comprehension being in the normal range (50). Although ALSSS did not correlate with both IQ and TCGB, it had a strong (p < 0.001) correlation with CHOP-INTEND described by an exponential rise to maximum. Conclusions Although speech and motor function were severely compromised, children with SMA1 showed general intelligence and language comprehension in the normal range. Speech impairment was strictly related to global motor impairment.

The ability to reason and problem-solve in novel situations, as measured by the Raven's Advanced Progressive Matrices (RAPM), is highly predictive of both cognitive task performance and real-world outcomes. Here we provide evidence that RAPM performance depends on the ability to reallocate attention in response to self-generated feedback about progress. We propose that such an ability is underpinned by the basal ganglia nuclei, which are critically tied to both reward processing and cognitive control. This hypothesis was implemented in a neurocomputational model of the RAPM task, which was used to derive novel predictions at the behavioral and neural levels. These predictions were then verified in one neuroimaging and two behavioral experiments. Furthermore, an effective connectivity analysis of the neuroimaging data confirmed a role for the basal ganglia in modulating attention. Taken together, these results suggest that individual differences in a neural circuit related to reward processing underpin human fluid reasoning abilities.

BACKGROUND Exposure to surgery and anesthesia in early childhood has been found to be associated with an increased risk of behavioral deficits. While the US Food and Drug Administration (FDA) has warned against prenatal exposure to anesthetic drugs, little clinical evidence exists to support this recommendation. This study evaluates the association between prenatal exposure to general anesthesia due to maternal procedures during pregnancy and neuropsychological and behavioral outcome scores at age 10. METHODS This is an observational cohort study of children born in Perth, Western Australia, with 2 generations of participants contributing data to the Raine Study. In the Raine Study, the first generation (Gen1) are mothers enrolled during pregnancy, and the second generation (Gen2) are the children born to these mothers from 1989 to 1992 with neuropsychological and behavioral tests at age 10 (n=2024). In the primary analysis, 6 neuropsychological and behavioral tests were evaluated at age 10: Raven's Colored Progressive Matrices (CPM), McCarron Assessment of Neuromuscular Development (MAND), Peabody Picture Vocabulary Test (PPVT), Symbol Digit Modality Test (SDMT) with written and oral scores, Clinical Evaluation of Language Fundamentals (CELF) with Expressive, Receptive, and Total language scores, and Child Behavior Checklist (CBCL) with Internalizing, Externalizing, and Total behavior scores. Outcome scores of children prenatally exposed to general anesthesia were compared to children without prenatal exposure using multivariable linear regression models adjusting for demographic and clinical covariates (sex, race, income, and maternal education, alcohol or tobacco use, and clinical diagnoses: diabetes, epilepsy, hypertension, psychiatric disorders, or thyroid dysfunction). Bonferroni adjustment was used for the 6 independent tests in the primary analysis, so a corrected P value

Few studies have investigated the neuropsychological profile of Hearing Loss (HL) subjects and the effects of hearing-aid on cognitive decline. We investigated the neuropsychological profile of HL patients at baseline and compared the neuropsychological profiles of patients with and without hearing-aid at 6 month. Fifty-six HL patients and 40 healthy subjects (HC) underwent neuropsychological and behavioral examination and were compared at baseline. Changes at follow-up were compared between HL patients with (N = 25) and without (N = 31) hearing-aids. At baseline, significant differences between HL and HC were found in MOCA test, Raven's Coloured Progressive Matrices (CPM) and SF-36. Among mild-HL patients, patients with hearing-aid significantly improved on the Clock Drawing Test (CDT) as compared to patients without hearing-aid. Our findings indicate that hearing loss is associated with both a reduced efficiency of the global cognitive state and a worse quality of life as compared to HC, supporting the association between HL and cognitive impairment. Moreover, only patients with mild-HL shows some cognitive improvement after using hearing-aid, suggesting that rehabilitative strategies may be more effective to delay cognitive decline in such patients. However, we cannot exclude that hearing-aids may affect cognitive decline in more severe-HL, but a longer follow-up is needed.

Aim: Malnutrition is a major public health issue that has been associated with high susceptibility for impaired brain development and mental functioning. However, to date studies on this topic have not been collated and appraised. This systematic review and meta-analysis investigated the association between malnutrition and cognitive development. Methods: We searched the MEDLINE, Scopus, CINAHL, Embase PsycINFO and Cochrane Library databases in English up to 8 December 2020. All studies reporting an association between nutritional status and cognitive development were included. p values of less than 0.05 were considered statistically significant and the results are reported as standardised mean differences (SMD), 95% confidence intervals (95%) and I2 statistics. Results: We included 12 studies comprising 7,607 participants aged 1 to 12years. Children with malnutrition had worse scores than controls for the Wechsler Intelligence Scale (SMD −0.40; 95% CI −0.60 to −0.20; p&nbsp

Observations abound about the power of visual imagery in human intelligence, from how Nobel prize-winning physicists make their discoveries to how children understand bedtime stories. These observations raise an important question for cognitive science, which is, what are the computations taking place in someone’s mind when they use visual imagery? Answering this question is not easy and will require much continued research across the multiple disciplines of cognitive science. Here, we focus on a related and more circumscribed question from the perspective of artificial intelligence (AI): If you have an intelligent agent that uses visual imagery-based knowledge representations and reasoning operations, then what kinds of problem solving might be possible, and how would such problem solving work? We highlight recent progress in AI toward answering these questions in the domain of visuospatial reasoning, looking at a case study of how imagery-based artificial agents can solve visuospatial intelligence tests. In particular, we first examine several variations of imagery-based knowledge representations and problem-solving strategies that are sufficient for solving problems from the Raven’s Progressive Matrices intelligence test. We then look at how artificial agents, instead of being designed manually by AI researchers, might learn portions of their own knowledge and reasoning procedures from experience, including learning visuospatial domain knowledge, learning and generalizing problem-solving strategies, and learning the actual definition of the task in the first place.

Background and objectives: The impact of cesarean and vaginal delivery on cognitive development was analyzed in 5 year old children. Materials and Methods: Two cohorts of 5 year old children born in the years 2013 and 2014 in Karvina (Northern Moravia) and Ceske Budejovice (Southern Bohemia) were studied for their cognitive development related to vaginal (n = 117) and cesarean types of delivery (n = 51). The Bender Visual Motor Gestalt Test (BG test) and the Raven Colored Progressive Matrices (RCPM test) were used as psychological tests. Results: In the comparison of vaginal delivery vs. cesarean section, the children delivered by cesarean section scored lower and, therefore, achieved poorer performance in cognitive tests compared to those born by vaginal delivery, as shown in the RCPM (p &lt, 0.001) and in the BG test (p &lt, 0.001). When mothers&rsquo, education level was considered, the children whose mothers achieved a university degree scored higher in both the RCPM test (p &lt, 0.001) and the BG test (p &lt, 0.01) compared to the children of mothers with lower secondary education. When comparing mothers with a university degree to those with higher secondary education, there was a significant correlation between level of education and score achieved in the RCPM test (p &lt, 0.001), but not in the BG test. Conclusions: According to our findings, the mode of delivery seems to have a significant influence on performance in psychological cognitive tests in 5 year old children in favor of those who were born by vaginal delivery. Since cesarean-born children scored notably below vaginally born children, it appears possible that cesarean delivery may have a convincingly adverse effect on children&rsquo, s further cognitive development.

Working memory has been examined extensively using the N-back task. However, less is known about the neural bases underlying individual variation in the accuracy rate (AR) and reaction time (RT) as metrics of N-back performance. Whereas AR indexes the overall performance, RT may more specifically reflect the efficiency in updating target identify. Further, studies have associated fluid intelligence (Gf) with working memory, but the cerebral correlates shared between Gf and N-back performance remain unclear. We addressed these issues using the Human Connectome Project dataset. We quantified the differences in AR (critical success index or CSI) and RT between 2- and 0-backs (CSI2–0 and RT2–0) and identified the neural correlates of individual variation in CSI2–0, RT2–0, and Gf, as indexed by the number of correct items scored in the Raven’s Standard Progressive Matrices (RSPM) test. The results showed that CSI2–0 and RT2–0 were negatively correlated, suggesting that a prolonged response time did not facilitate accuracy. At voxel p 2–0 and positive correlation with RT2–0. In contrast, a cluster in the dorsal anterior cingulate cortex (dACC) bordering the SMA showed activities in positive correlation with CSI2–0 and negative correlation with RT2–0. Further, path analyses showed a significant fit of the model dACC → RT2–0 → CSI2–0, suggesting a critical role of target switching in determining performance accuracy. Individual variations in RT2–0 and Gf were positively correlated, although the effect size was small (f2 = 0.0246). RT2–0 and Gf shared activities both in positive correlation with the preSMA, biFPC, rAI, and dorsal precuneus. These results together suggest inter-related neural substrates of individual variation in N-back performance and highlight a complex relationship in the neural processes supporting 2-back and RSPM performance.

Genetic quality may be expressed through many traits simultaneously, and this would suggest a phenotype-wide fitness factor. In humans, intelligence has been positively associated with several potential indicators of genetic quality, including ejaculate quality. We conducted a conceptual replication of one such study by investigating the relationship between intelligence (assessed by the Raven Advanced Progressive Matrices Test–Short Form) and ejaculate quality (indexed by sperm count, sperm concentration, and sperm motility) in a sample of 41 men (ages ranging 18 to 33 years; M = 23.33; SD = 3.60). By self-report, participants had not had a vasectomy, and had never sought infertility treatment. We controlled for several covariates known to affect ejaculate quality (e.g., abstinence duration before providing an ejaculate) and found no statistically significant relationship between intelligence and ejaculate quality; our findings, therefore, do not match those of Arden, Gottfredson, Miller et al. or those of previous studies. We discuss limitations of this study and the general research area and highlight the need for future research in this area, especially the need for larger data sets to address questions around phenotypic quality and ejaculate quality.

Research on sex differences in the association of psychopathy with fluid intelligence is limited, and it remains unknown if fluid intelligence plays a meaningful role in explaining the psychopathy–aggression link for men and women. The present study aimed to test for sex differences in the relation between the four-facet model of psychopathy and intelligence, and to assess whether fluid intelligence moderates the link between psychopathy and aggression. In a community sample of men ( n = 356) and women ( n = 196), we assessed psychopathy using the Psychopathy Checklist: Screening Version (PCL:SV), fluid intelligence using the Raven’s Progressive Matrices, and types of aggression using the Aggression Questionnaire (AQ). Hierarchical regressions showed that the psychopathy lifestyle facet was negatively associated with intelligence and there were no sex differences. Our analyses for types of aggression revealed sex differences and similarities. For both men and women, total AQ scores were predicted by higher antisocial facet scores. Lower intelligence moderated the link between higher antisocial facet scores and aggression in men, but not for women. Physical aggression in women was associated with higher interpersonal, affective, and antisocial facet scores, whereas for men, it was only associated with higher antisocial facet scores. Verbal and indirect aggression were associated with higher intelligence in both men and women. For men only, higher antisocial facet scores were associated with verbal and indirect aggression. Higher intelligence moderated the link between the lifestyle facet and indirect aggression for women, whereas for men, it moderated the link between the affective facet and indirect aggression. This study further highlights sex differences in mechanisms of psychopathy-related aggression, which need to be considered in the development of violence interventions and risk assessment.

Cognitive disorders are increasing in prevalence. Nutritional or metabolic stressors during early life, and female sex, are predisposing conditions towards the development of cognitive diseases, including Alzheimer&rsquo, s disease. Though there is evidence that breastfeeding may play a beneficial role in children&rsquo, s neurocognitive development, the literature remains controversial. In this study we aimed at assessing the association between exclusive breastfeeding and children&rsquo, s cognitive development from six months to five years of age, addressing sex differences. In 80 mother-child pairs from the Pisa birth cohort (PISAC), we measured cognitive development in groups of children of 6, 12, 18, 24, 36, and 60 months by Griffiths Mental Development Scales, parents&rsquo, intelligence quotient (IQ) by Raven&rsquo, s progressive matrices, and maternal and infants&rsquo, anthropometric parameters. We found that exclusive breastfeeding was associated with higher hearing-language development in five years old girls, independent of maternal IQ, age and BMI (body mass index). Exclusive breastfeeding in the first three months of life seemed sufficient to establish this positive relationship. In conclusion, our data indicate that exclusive breastfeeding is a positive predictor of cognitive development in preschool-age girls, paving the way for the implementation of sex-specific cognitive disease risk detection and prevention strategies from early life. Further studies are warranted to explore causality and longer term effects.

The world population is rapidly aging, bringing together the necessity to better understand the advancing age. This characterization may be used to aid early diagnosis and to guide individually-tailored interventions. While some event-related potential (ERP) components, such as the P300 and late positive complex (LPC), have been associated with fluid intelligence (Gf) in young population; little is known whether these associations hold for older people. Therefore, the main goal of this study was to assess whether these ERP components are associated with Gf in the elderly. Fifty-seven older adults performed a continuous performance task (CPT) and a visual oddball paradigm while EEG was recorded. Participants were divided into two groups, according to their performance in the Raven's Advanced Progressive Matrices test: high-performance (HP) and low-performance (LP). Results showed that the HP group, compared to the LP group, had higher LPC amplitudes in the CPT and shorter P300 latencies in the oddball task, highlighting the role of ERP components as a potential electrophysiological proxy of Gf abilities in the elderly., We thank Camara Municipal de Vila Nova de Famalicao (Dr. Rui Baptista and Bruno Gomes), Associacao Geracoes (Dr. Cristiana Oliveira, Clara and Daniela Silva), Santa Casa da Misericordia de Barcelos (Dr. Ricardo Vieira and Dr. Helder Longras), and Fundacao Bomfim (Dr. Raquel Polonia) for hosting the study; all the volunteers for their participation, as well as, Silvia Alves, Carla Barros, Anabela Fernandes and our colleagues from the Psychological Neuroscience Laboratory for all the help during data collection and recruitment. This work was supported by the Portuguese Foundation for Science and Technology (FCT) [Doctoral Grants No. SFRH/BD/80965/2011 (awarded to ACT) and No. PD/BD/105964/2014 (awarded to DRP)] and by the Bial Foundation (Grant Number #286/16). It was conducted at the Psychology Research Centre (PSI/01662), School of Psychology, University of Minho, and supported by the Portuguese Foundation for Science and Technology and the Portuguese Ministry of Science, Technology and Higher Education (Grant Number UID/PSI/01662/2019), through the national funds (PIDDAC). DP was supported by FCT (Grant Number SFRH/BPD/120111/2016). SC was funded by the FCT (Grant Number IF/00091/2015) and COMPETE 2020 (Grant Number PTDC/PSI-ESP/29701/2017).

Summary Background Nutrition plays a pivotal role in brain development throughout life. Sub-optimal intellectual ability and poor school performance are said to be among the long term effects of malnutrition. The aim of this study was to determine the association between nutritional status of the participants, their intelligence quotient (IQ) and academic performance. Methods Children aged 6–12 years who met the inclusion criteria were recruited from the public and private primary schools in the local government area using a proportionate multistage sampling technique. Weight and height were measured using standard protocols and interpreted as normal or abnormal using the World Health Organization AnthroPlus®. IQ was assessed using the Raven's Standard Progressive Matrices and was grouped into optimal and suboptimal. Academic performance was assessed using the past records of class assessment, and was classified into high, average and low academic performance. A semi-structured questionnaire was used to obtain data such as–age, gender, socioeconomic indices and family size of the study participants. Results The prevalence of underweight, thinness (wasting), stunting, overweight and obesity were 2.0%, 3.6%, 2.1%, 6.7%, and 4.2%, respectively. Indices of over-nutrition were significantly associated with optimal IQ and good academic performance. There was a trend in the association between wasting and suboptimal intelligence [AOR (95%CI) = 1.5 (1.0–3.0), p = 0.06]. Conclusion Acute and chronic under-nutrition did not adversely affect the IQ and academic performance of the study population. The relationship between over-nutrition, IQ and academic performance disappeared when socio-economic status was controlled for.

Introduction:intellectual capacity measured as intelligence quotient (IQ) is one of the determinants of school performance of children. It influences academic achievement, future personal health, social well-being and therefore, is of public health significance. The objectives of the study was to determine the intelligence quotient (IQ) and academic performance of primary school children in Enugu-East LGA. Methods:children who met the inclusion criteria were recruited from both public and private primary schools in the Local Government Area (LGA) using a proportionate multistage sampling technique. Academic performance was classified into high, average and low academic using past records of class assessment. Intelligence Quotient was assessed using the Raven´s Standard Progressive Matrices (RSPM) and was grouped into optimal and suboptimal. A semi-structured questionnaire was used to obtain data such as-age, gender, socio-economic indices and family size of the study participants. Analysis was done with Statistical Package for Social Sciences (IBM-SPSS). Results:a total of 1,122 pupils aged 6 to 12 years were recruited. Optimal IQ and high academic performance was found in 54.0% and 58.8% of the study participants. Being from upper social class, in private school, and family size less than 4 were the significant determinants of high IQ and good academic performance (p4 children) and improve the socio-economic status of families are needed environmental measures to improve intelligence and academic performance.

To investigate factors associated with cognitive functioning in healthy adolescents, a school-based cross-sectional study was conducted on 1370 adolescents aged 11–16 years that were randomly selected from all governorates of Kuwait. Raven’s Standard Progressive Matrices (SPM), a non-verbal test of intelligence, was used to measure cognitive functioning of the study participants. Data on predictors of cognitive functioning were collected from parents and adolescents. Weight and height of the participants were measured in a standardized manner and blood samples were tested in an accredited laboratory under strict measures of quality control. In multivariable linear regression analysis, factors that showed significant association with the SPM score were gender (p = 0.002), season of birth (p = 0.009), place of residence (p

IntroductionRecently popular sub-perceptual doses of psychedelic substances such as truffles, referred to as microdosing, allegedly have multiple beneficial effects including creativity and problem solving performance, potentially through targeting serotonergic 5-HT2Areceptors and promoting cognitive flexibility, crucial to creative thinking. Nevertheless, enhancing effects of microdosing remain anecdotal, and in the absence of quantitative research on microdosing psychedelics it is impossible to draw definitive conclusions on that matter. Here, our main aim was to quantitatively explore the cognitive-enhancing potential of microdosing psychedelics in healthy adults.MethodsDuring a microdosing event organized by the Dutch Psychedelic Society, we examined the effects of psychedelic truffles (which were later analyzed to quantify active psychedelic alkaloids) on two creativity-related problem-solving tasks: the Picture Concept Task assessing convergent thinking, and the Alternative Uses Task assessing divergent thinking. A short version of the Ravens Progressive Matrices task assessed potential changes in fluid intelligence. We tested once before taking a microdose and once while the effects were manifested.ResultsWe found that both convergent and divergent thinking performance was improved after a non-blinded microdose, whereas fluid intelligence was unaffected.ConclusionWhile this study provides quantitative support for the cognitive enhancing properties of microdosing psychedelics, future research has to confirm these preliminary findings in more rigorous placebo-controlled study designs. Based on these preliminary results we speculate that psychedelics might affect cognitive metacontrol policies by optimizing the balance between cognitive persistence and flexibility. We hope this study will motivate future microdosing studies with more controlled designs to test this hypothesis.

Objectives Experience-related neuroplasticity suggests that bilinguals who actively manage their two languages would develop more efficient neural organization at brain regions related to language control, which also overlap with areas involved in executive control. Our aim was to examine how active bilingualism—manifested as the regular balanced use of two languages and language switching—may be related to the different domains of executive control in highly proficient healthy older adult bilinguals, controlling for age, processing speed, and fluid intelligence. Methods Participants were 76 community-dwelling older adults who reported being physically and mentally healthy and showed no signs of cognitive impairment. They completed a self-report questionnaire on their language background, two computer measures for previously identified covariates (processing speed as measured by two-choice reaction time (RT) task and fluid intelligence as measured by the Raven’s Progressive Matrices), as well as a battery of computerized executive control tasks (Color-shape Task Switching, Stroop, Flanker, and Spatial 2-back task). Results Regression analyses showed that, even after controlling for age, processing speed, and fluid intelligence, more balanced bilingualism usage and less frequent language switching predicted higher goal maintenance (nonswitch trials RT in Color-shape Task Switching) and conflict monitoring abilities (global RT in Color-shape Task Switching and Flanker task). Discussion Results suggest that active bilingualism may provide benefits to maintaining specific executive control abilities in older adult bilinguals against the natural age-related declines.

Background Adults with Down syndrome (DS) are at increased risk for Alzheimer disease dementia, and there is a pressing need for the development of assessment instruments that differentiate chronic cognitive impairment, acute neuropsychiatric symptomatology, and dementia in this population of patients. Methods We adapted a widely used instrument, the Clinical Dementia Rating (CDR) Scale, which is a component of the Uniform Data Set used by all federally funded Alzheimer Disease Centers for use in adults with DS, and tested the instrument among 34 DS patients recruited from the community. The participants were assessed using two versions of the modified CDR—a caregiver questionnaire and an in-person interview involving both the caregiver and the DS adult. Assessment also included the Dementia Scale for Down Syndrome (DSDS) and the Raven’s Progressive Matrices to estimate IQ. Results Both modified questionnaire and interview instruments captured a range of cognitive impairments, a majority of which were found to be chronic when accounting for premorbid function. Two individuals in the sample were strongly suspected to have early dementia, both of whom had elevated scores on the modified CDR instruments. Among individuals rated as having no dementia based on the DSDS, about half showed subthreshold impairments on the modified CDR instruments; there was substantial agreement between caregiver questionnaire screening and in-person interview of caregivers and DS adults. Conclusions The modified questionnaire and interview instruments capture a range of impairment in DS adults, including subthreshold symptomatology, and the instruments provide complementary information relevant to the ascertainment of dementia in DS. Decline was seen across all cognitive domains and was generally positively related to age and negatively related to IQ. Most importantly, adjusting instrument scores for chronic, premorbid impairment drastically shifted the distribution toward lower (no impairment) scores.

It remains unclear whether musical training is associated with improved speech understanding in a noisy environment, with different studies reaching differing conclusions. Even in those studies that have reported an advantage for highly trained musicians, it is not known whether the benefits measured in laboratory tests extend to more ecologically valid situations. This study aimed to establish whether musicians are better than non-musicians at understanding speech in a background of competing speakers or speech-shaped noise under more realistic conditions, involving sounds presented in space via a spherical array of 64 loudspeakers, rather than over headphones, with and without simulated room reverberation. The study also included experiments testing fundamental frequency discrimination limens (F0DLs), interaural time differences limens (ITDLs), and attentive tracking. Sixty-four participants (32 non-musicians and 32 musicians) were tested, with the two groups matched in age, sex, and IQ as assessed with Raven’s Advanced Progressive matrices. There was a significant benefit of musicianship for F0DLs, ITDLs, and attentive tracking. However, speech scores were not significantly different between the two groups. The results suggest no musician advantage for understanding speech in background noise or talkers under a variety of conditions.

BACKGROUND: Discourse in adults with aphasia is increasingly the focus of assessment and therapy research. A broad range of measures is available to describe discourse, but very limited information is available on their psychometric properties. As a result, the quality of these measures is unknown, and there is very little evidence to motivate the choice of one measure over another. AIMS: To explore the quality of a range of discourse measures, targeting sentence structure, coherence, story structure and cohesion. Quality was evaluated in terms of the psychometric properties of acceptability (data completeness and skewness), reliability (inter- and intra-rater), and validity (content, convergent, discriminant and known groups). METHODS & PROCEDURES: Participants with chronic mild-to-moderate aphasia were recruited from community groups. They produced a range of discourses which were grouped into Cinderella and everyday discourses. Discourses were then transcribed orthographically and analyzed using macro- and microlinguistic measures (Story Grammar, Topic Coherence, Local Coherence, Reference Chains and Predicate Argument Structure-PAS). Data were evaluated against standard predetermined criteria to ascertain the psychometric quality of the measures. OUTCOMES & RESULTS: A total of 17 participants took part in the study. All measures had high levels of acceptability, inter- and intra-rater reliability, and had good content validity, as they could be related to a level of the theoretical model of discourse production. For convergent validity, as expected, 8/10 measures correlated with the Western Aphasia Battery-Revised (WAB-R) spontaneous speech scores, and 7/10 measures correlated with the Kissing and Dancing Test (KDT) scores (r ≥ 0.3), giving an overall positive rating for construct validity. For discriminant validity, as predicted, all measures had low correlations with Raven's Coloured Progressive Matrices (RCPM) and WAB-R Auditory Verbal Comprehension scores (r < 0.3), giving an overall positive rating for construct validity. Finally, for known groups validity, all measures indicated a difference between speakers with mild and moderate aphasia except for the Local Coherence measures. Overall, Story Grammar, Topic Coherence, Reference Chains and PAS emerged as the strongest measures in the current study because they achieved the predetermined thresholds for quality in terms of each of the psychometric parameters profiled. CONCLUSIONS & IMPLICATIONS: The current study is the first to psychometrically profile measures of discourse in aphasia. It contributes to the field by identifying Story Grammar, Topic Coherence, Reference Chains and PAS as the most psychometrically robust discourse measures yet profiled with speakers with aphasia. Until further data are available indicating the strength of other discourse measures, caution should be applied when using them.

SummaryIntelligence was assessed using the Standard Progressive Matrices in 316 MZ and 550 same-sex DZ twins with a mean age of 10 years in Sudan. Heritability was estimated at 0.172 and shared environmental influences at 0.596.

SummaryTwo administrations of the Coloured Progressive Matrices in Egypt were compared. The first was administered to a large, representative national sample between 2011 and 2013. The second was administered to primary school pupils in villages in Menoufia in northern Egypt in 2017. Adjusting for the Flynn Effect, the IQ of the rural northern Egyptians was shown to be statistically significantly higher than the national average. It is demonstrated that this is consistent with regional socioeconomic differences in Egypt, which strongly imply that northern Egypt has a higher average IQ than southern Egypt.

Utilizing technology for automated item generation is not a new idea. However, test items used in commercial testing programs or in research are still predominantly written by humans, in most cases by content experts or professional item writers. Human experts are a limited resource and testing agencies incur high costs in the process of continuous renewal of item banks to sustain testing programs. Using algorithms instead holds the promise of providing unlimited resources for this crucial part of assessment development. The approach presented here deviates in several ways from previous attempts to solve this problem. In the past, automatic item generation relied either on generating clones of narrowly defined item types such as those found in language free intelligence tests (e.g., Raven's progressive matrices) or on an extensive analysis of task components and derivation of schemata to produce items with pre-specified variability that are hoped to have predictable levels of difficulty. It is somewhat unlikely that researchers utilizing these previous approaches would look at the proposed approach with favor; however, recent applications of machine learning show success in solving tasks that seemed impossible for machines not too long ago. The proposed approach uses deep learning to implement probabilistic language models, not unlike what Google brain and Amazon Alexa use for language processing and generation.

Background General anesthesia has been linked to impaired brain development in immature animals and young children. In this study the influence of orthopedic surgery under general anesthesia on the intelligence of school age children has been evaluated. Methods A total of 209 subjects aged 6–12 years were recruited and allocated into 4 groups according to the duration of general anesthesia, including a control group (n = 30), short (< 1 h, n = 49), moderate- (1–3 h, n = 51) and long-duration groups (> 3 h, n = 79), respectively. The intelligence quotient (IQ) of the subjects was measured by the Raven’s Standard Progressive Matrices (RSPM) before and after orthopedic surgery under general anesthesia of various durations (vide supra). Results The IQ score decreased significantly in the long-duration group at 1 month post-operation compared with the pre-operation score (P

Background Associations between most single metals and children's intelligence quotient (IQ) scores have been evaluated in previous studies. However, associations between multi-metal exposures and children’s IQ scores have not been analyzed. Objectives To assess the joint effects of lead (Pb), manganese (Mn), antimony (Sb), tin (Sn) and titanium (Ti) co-exposure on children’s IQ scores. Methods A prospective cohort study was conducted in Shimen and Huayuan, Hunan Province, China. Urine metals levels were measured by inductively coupled plasma mass spectrometry (ICP-MS) at baseline. Children’s IQ scores were repeatedly measured at baseline and follow-up following the method of Raven's Standard Progressive Matrices (SPM) and standardized as z scores. We fitted linear regression models and Bayesian kernel machine regression (BKMR) models to investigate the associations of metal levels with children’s IQ scores after adjusting for covariates. Results A total of 633 participants aged 7–10 years completed the survey. Urinary Pb (β = -0.028, P = 0.022) and urinary Ti (β = -0.0003, P = 0.001) were inversely associated with children’s IQ scores. The BKMR analyses revealed significant negative overall effects of the five metals on children’s IQ scores when all the metals were above their median levels, while significant positive associations were shown when all the metal concentrations were below their median levels. The model also showed negative trends of Sn and Ti on children’s IQ. Furthermore, Ti and Sn had a synergistic relationship, with a decline in IQ score when Sn exposure was relatively high. The urinary Sn concentration was significantly higher but the urinary Ti concentration was significantly lower in participants from the Shimen area than in those from the Huayuan area. Decreasing trends of the overall effects were observed in both the Shimen and Huayuan areas. Conclusion Our findings revealed that multi-metal exposures caused a decline in children’s IQ scores according to traditional linear regression models and the BKMR model. Our results provide some evidence of the association between multi-metal exposure and children’s IQ. Meanwhile, interactions between multi-metal exposures on children's IQ should be given more attention.

Background Autism Spectrum Disorder (ASD) is characterized by impairments in social interaction, restricted and repetitive behaviour, interests or activities. Difficulties in a broad spectrum of cognitive skills is often present, including attentional processes and nonverbal intelligence, which might be related to academic difficulties. Aims In this study, the association between attentional skills and nonverbal intelligence to school performance of children with ASD was assessed. Methods and procedures 32 children/adolescents between 8–14 years old, who attended a treatment unit linked to the public health system of Sao Paulo-Brazil participated in the study. The following instruments were utilized: Cancellation Attention Test; Raven’s Coloured Progressive Matrices; and School Performance Test. Outcomes and results After correlation analysis, statistically significant associations were found between attention and nonverbal intelligence with school performance. Regression analysis showed that attention drives school performance irrespective of nonverbal intelligence. Conclusions and implications Results evidence the link between attention and school performance in ASD, suggesting that attentional mechanisms may be a promising route to follow in the design of interventions for school improvement of children and adolescents with ASD.

The present study investigated the psychometric properties of the Raven’s Colored Progressive Matrices (CPM) test in a sample of preschoolers from Brazil ( n = 582; age: mean = 57 months, SD = 7 months; 46% female). We investigated the plausibility of unidimensionality of the items (confirmatory factor analysis) and differential item functioning (DIF) for sex and age (multiple indicators multiple causes method). We tested four unidimensional models and the one with the best-fit index was a reduced form of the Raven’s CPM. The DIF analysis was carried out with the reduced form of the test. A few items presented DIF (two for sex and one for age), confirming that the Raven’s CPM items are mostly measurement invariant. There was no effect of sex on the general factor, but increasing age was associated with higher values of the g factor. Future research should indicate if the reduced form is suitable for evaluating the general ability of preschoolers.

Recent studies revealed spontaneous neural activity to be associated with fluid intelligence (gF) which is commonly assessed by Raven’s Advanced Progressive Matrices, and embeds two types of reasoning: visuospatial and verbal-analytic reasoning. With resting-state fMRI data, using global brain connectivity (GBC) analysis which averages functional connectivity of a voxel in relation to all other voxels in the brain, distinct neural correlates of these two reasoning types were found. For visuospatial reasoning, negative correlations were observed in both the primary visual cortex (PVC) and the precuneus, and positive correlations were observed in the temporal lobe. For verbal-analytic reasoning, negative correlations were observed in the right inferior frontal gyrus (rIFG), dorsal anterior cingulate cortex and temporoparietal junction, and positive correlations were observed in the angular gyrus. Furthermore, an interaction between GBC value and type of reasoning was found in the PVC, rIFG and the temporal lobe. These findings suggest that visuospatial reasoning benefits more from elaborate perception to stimulus features, whereas verbal-analytic reasoning benefits more from feature integration and hypothesis testing. In sum, the present study offers, for different types of reasoning in gF, first empirical evidence of separate neural substrates in the resting brain.

The aim of the current study is to provide new insights into the relationship between executive functions and intelligence measures in considering the item-position effect observed in intelligence items. Raven's Advanced Progressive Matrices (APM) and Horn's LPS reasoning test were used to assess fluid intelligence which served as criterion in investigating the relationship between intelligence and executive functions. A battery of six experimental tasks measured the updating, shifting, and inhibition processes of executive functions. Data were collected from 205 university students. Fluid intelligence showed substantial correlations with the updating and inhibition processes and no correlation with the shifting process without considering the item-position effect. Next, the fixed-link model was applied to APM and LPS data separately to decompose them into an ability component and an item-position component. The results of relating the components to executive functions showed that the updating and shifting processes mainly contributed to the item-position component whereas the inhibition process was mainly associated with the ability component of each fluid intelligence test. These findings suggest that improvements in the efficiency of updating and shifting processes are likely to occur during the course of completing intelligence measures and inhibition is important for intelligence in general.

To evaluate the psychometric properties of the Italian version of Functional Outcome Questionnaire - Aphasia.Two hundred and five persons with stroke-related aphasia and right hemiparesis who received ongoing assistance from a family caregiver were assessed using the Functional Outcome Questionnaire - Aphasia, Aachener Aphasie Test, Token Test, Raven's Coloured Progressive Matrices, Functional Independence Measure (FIM), Functional Assessment Measure (FAM), and Quality of Life Questionnaire for Aphasics (QLQA). The Functional Outcome Questionnaire - Aphasia was translated into the Italian language using a translation and back-translation method. Reliability and construct validity of the Functional Outcome Questionnaire - Aphasia were evaluated.The Italian version of the Functional Outcome Questionnaire - Aphasia showed good internal consistency and test-retest reliability for the overall scale (α = 0.98; ICC = 0.95) and subscales (α = 0.89 for the communicating basic needs (CBN), α = 0.92 for the making routine requests (MRR), α = 0.96 for the communicating new information (CNI), α = 0.93 for the attention/other communication skills (AO); ICC = 0.95 for CBN, ICC = 0.96 for MRR, ICC = 0.97 for CNI and ICC = 0.92 for AO). Significant correlations were found between the Functional Outcome Questionnaire - Aphasia and Token Test, QLQA, Aachener Aphasie Test scores, and FAM linguistic scores, indicating good convergent validity. Low correlations were found between Functional Outcome Questionnaire - Aphasia and Raven's Coloured Progressive Matrices and FIM motor scores, showing good discriminant validity.The overall findings of this study supported the reliability and construct validity of the Italian version of the Functional Outcome Questionnaire - Aphasia. This measure holds considerable promise in assessing the functional outcomes of aphasia rehabilitation in Italian-speaking persons with aphasia. Implications for Rehabilitation Functional Outcome Questionnaire - Aphasia is a reliable and valid questionnaire in assessing functional communication of Italian-speaking people with aphasia. This measure provides critical information about people with aphasia's functional and pragmatic communication in home and community settings, contributing significantly to overall quality of life. Since the use of measures of functional communication is recommended in the clinical evaluation of language disease, the Italian version of Functional Outcome Questionnaire - Aphasia may be effective in tailoring rehabilitation treatment to the presenting communication problems of people with aphasia and their caregivers.

Amphetamine-type stimulants (ATS) use is increasingly prevalent in Malaysia, including among individuals who also use opioids. We evaluated cognitive functioning profiles among individuals with co-occurring opioid and ATS dependence and their lifetime patterns of drug use. Participants (N=50) enrolling in a clinical trial of buprenorphine/naloxone treatment with or without atomoxetine completed the Raven’s Standard Progressive Matrices, Rey-Osterrieth Complex Figure test, Digit Span, Trail Making and Symbol Digit Substitution tasks. Multidimensional scaling and a K-means cluster analyses were conducted to classify participants into lower versus higher cognitive performance groups. Subsequently, analyses of variance procedures were conducted to evaluate between group differences on drug use history and demographics. Two clusters of individuals with distinct profiles of cognitive performance were identified. The age of ATS use initiation, controlling for the overall duration of drug use, was significantly earlier in the lower than in the higher cognitive performance cluster: 20.9 (95% CI: 18.0 – 23.8) versus 25.2 (95% CI: 22.4 – 28.0, p = 0.038). While adverse effects of ATS use on cognitive functioning can be particularly pronounced with younger age, potentially related to greater vulnerability of the developing brain to stimulant and/or neurotoxic effects of these drugs, the current study findings cannot preclude lowered cognitive performance before initiation of ATS use.