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Decoding the spatiotemporal patterns of food spoilage microbial communities: Integrating multi-omics and artificial intelligence to enable precision preservation.

In the global food supply chain, food wastage caused by spoilage has resulted in significant economic losses, food shortages, and environmental pressure. This process is fundamentally driven by the spatiotemporal dynamics of microbial communities. However, traditional research methods struggle to elucidate the complex mechanisms of spatial heterogeneity, interspecies interactions, and functional succession. This limits the development of effective preservation strategies. This review systematically reviews the cutting-edge progress of integrating multi-omics technologies and artificial intelligence (AI) to study food spoilage microbial communities, breaking through this bottleneck. We propose an intelligent theoretical framework that could potentially analyze microbial metabolic activities and predict dynamic shelf life if implemented. The conceptual framework integrates multidimensional data, including spatial metabolomics, temporal metatranscriptomics, single-cell transcriptomics, and longitudinal metagenomics. It can also be combined with AI models, such as graph neural networks. The article elaborates on the principles and applications of spatio-temporal monitoring technologies, such as nano secondary ion mass spectrometry, hyperspectral imaging, and the Internet of Things sensing. Through illustrative cases of typical perishable foods, it also explores how such a multi-omics - AI system might be applied to spoilage warning and precise intervention. Additionally, the article addresses the current challenges in data coverage, model generalization, and federated learning implementation. Then the research further explores emerging areas such as engineered probiotics, edge AI, and microfluidic sensing. These areas are targeted at transforming food preservation from an empirical control approach to a data-driven, precise regulatory framework. This transformation provides theoretical support and technical approaches for developing a smart, sustainable food preservation system.

Multiomics↗

Emotional intelligence and smoking risk factors in adolescents: interactions on smoking intentions.

PURPOSE: To examine interactions between emotional intelligence (EI) and smoking risk factors on smoking intentions in adolescents. METHODS: EI ios defined as the ability to: accurately perceive, appraise, and express emotion; access and/or generate feelings in facilitating thought; understand emotion and emotional knowledge; and regulate emotions. EI of 416 6th graders (53% girls) from middle schools in the Los Angeles area (mean age = 11.3 years; 32% Latino, 29% Asian/Pacific Islander, 13% white, 19% Multiethnic, 6% Other) was assessed with an abbreviated version of the Multifactor Emotional Intelligence Scale, Adolescent Version (MEIS). This was a competence-based measure assessing an individual's ability to perceive, understand, and manage emotion. Logistic regression models were fit to test interactions between EI and ever trying cigarettes, hostility, and perceived ability to refuse a cigarette from someone just met, on intentions to smoke in the next year. RESULTS: High EI adolescents were more likely to intend to smoke in the next year if they had previously experimented with smoking. Those with low EI were more likely to intend to smoke if their perceived ability to refuse a cigarette offer from a person they just met was low or hostility level was high. CONCLUSIONS: These preliminary results indicate that EI interacts with risk factors to reduce smoking intentions, and contributes evidence to a link between EI and smoking in adolescents.

Adolescent↗

Relationship of emotional intelligence and adherence to combination antiretroviral medications by individuals living with HIV disease.

Medications are an intentional and purposeful means to the successful management of many chronic diseases. In the treatment of disease caused by HIV, adherence to medication is of particular concern because any level of nonadherence, often a few missed doses, will lead eventually to the development of drug resistance. Many predictors of poor adherence to HIV medications have been identified as significant factors in adherence. Among these is the emotional aspect. The purpose of this study was to examine emotional intelligence (EI) and adherence to combination antiretroviral therapy in individuals who are infected with HIV. EI is defined as the ability to perceive and express emotions, facilitate emotions, understand and reason with emotion, and manage emotions. EI has been correlated with various aspects of success in life. In this study, EI was measured by the Mayer, Salovey, Caruso Emotional Intelligence Test. Adherence to medications was measured by self-report and defined as less than 10% missed doses of medications. Eighty-two participants were recruited from an urban hospital-based HIV clinic. Pearson's r was used to analyze the data for significance, and no correlation was reported. This data set was not large enough to prove significance, statistically, of the research question. However, an unexpected result of this study was that the overall EI scores for this particular population were markedly lower than the test norms. Further study would be warranted and recommended to explore El measurement in people at risk for HIV disease or in those who have the disease to further understand the impact of emotions and EI in this specific population.

Adult↗

A review on the integration of artificial intelligence into coastal modeling.

With the development of computing technology, mechanistic models are often employed to simulate processes in coastal environments. However, these predictive tools are inevitably highly specialized, involving certain assumptions and/or limitations, and can be manipulated only by experienced engineers who have a thorough understanding of the underlying theories. This results in significant constraints on their manipulation as well as large gaps in understanding and expectations between the developers and practitioners of a model. The recent advancements in artificial intelligence (AI) technologies are making it possible to integrate machine learning capabilities into numerical modeling systems in order to bridge the gaps and lessen the demands on human experts. The objective of this paper is to review the state-of-the-art in the integration of different AI technologies into coastal modeling. The algorithms and methods studied include knowledge-based systems, genetic algorithms, artificial neural networks, and fuzzy inference systems. More focus is given to knowledge-based systems, which have apparent advantages over the others in allowing more transparent transfers of knowledge in the use of models and in furnishing the intelligent manipulation of calibration parameters. Of course, the other AI methods also have their individual contributions towards accurate and reliable predictions of coastal processes. The integrated model might be very powerful, since the advantages of each technique can be combined.

Artificial Intelligence↗

A review on integration of artificial intelligence into water quality modelling.

With the development of computing technology, numerical models are often employed to simulate flow and water quality processes in coastal environments. However, the emphasis has conventionally been placed on algorithmic procedures to solve specific problems. These numerical models, being insufficiently user-friendly, lack knowledge transfers in model interpretation. This results in significant constraints on model uses and large gaps between model developers and practitioners. It is a difficult task for novice application users to select an appropriate numerical model. It is desirable to incorporate the existing heuristic knowledge about model manipulation and to furnish intelligent manipulation of calibration parameters. The advancement in artificial intelligence (AI) during the past decade rendered it possible to integrate the technologies into numerical modelling systems in order to bridge the gaps. The objective of this paper is to review the current state-of-the-art of the integration of AI into water quality modelling. Algorithms and methods studied include knowledge-based system, genetic algorithm, artificial neural network, and fuzzy inference system. These techniques can contribute to the integrated model in different aspects and may not be mutually exclusive to one another. Some future directions for further development and their potentials are explored and presented.

Algorithms↗

Enhanced nutrition of offspring as a crucial factor for the evolution of intelligence on land.

Whilst life in the sea is undoubtedly an ancient process organisms with an exclusively marine lineage have not evolved the degree of intelligence demonstrated by the most advanced terrestrial species. Among the differences between terrestrial and marine environments which may begin to account for this is the instability of the terrestrial environment in comparison to the ocean. Unlike the ocean, terrestrial environments are not buffered against rapid changes in temperature, available water and other environmental extremes. This represents a challenge for the vulnerable offspring of terrestrial species. Evolutionary adaptation to this challenge has included greater transfer of resources from adult to offspring, as demonstrated by terrestrial vertebrates. However the evolution of mechanisms allowing enhanced transfer of resources between generations also creates conditions whereby offspring can be born with larger and more costly brains, developed and nourished from the outset even when they are not likely to prove useful until later life. As nutrition of offspring on land improved through natural selection better brains may thereby have been facilitated, with subsequent evolution driven by proximate selective pressures. The culmination of this process may be seen in the enormous transfer of resources from parents to offspring characteristic of humans and the advanced intelligence associated with them. Medical implications of this theory include the possible impact on the maternal brain of increased transfer of resources to the developing brain during pregnancy and lactation. This could help to account for the observed association between mental illness and the puerperium.

Adaptation, Physiological↗

Intelligence related differences in EEG-bandpower.

Several studies on the relationship between event-related desynchronization/synchronization (ERD/ERS) and cognitive performance revealed contradictory results particularly for the alpha band. Studies from our laboratory have shown that good performers show a larger upper alpha ERD (interpreted in terms of larger cortical activation) than bad performers. In contrast, other researchers found evidence for the neural efficiency hypothesis, which states that more intelligent subjects exhibit a smaller extent of cortical activation, which is assumed to be reflected by a smaller upper alpha ERD. Here we address the question whether these divergent results may be due to differences in general task difficulty. Using a modified version of the RAVEN, individually divided into easy and difficult tasks, a group of average and a group of highly intelligent subjects (IQ- and IQ+) have been investigated. While in the theta frequency IQ+ subjects generally exhibited a significantly stronger activation, we found a significant interaction of task difficulty and IQ group in the upper alpha band, indicating both, a weaker activation for the high IQ group during the easy tasks, and a significant increase from easy to difficult tasks for IQ+ only.

Adolescent↗

Structural brain variation and general intelligence.

Total brain volume accounts for about 16% of the variance in general intelligence scores (IQ), but how volumes of specific regions-of-interest (ROIs) relate to IQ is not known. We used voxel-based morphometry (VBM) in two independent samples to identify substantial gray matter (GM) correlates of IQ. Based on statistical conjunction of both samples (N = 47; P < 0.05 corrected for multiple comparisons), more gray matter is associated with higher IQ in discrete Brodmann areas (BA) including frontal (BA 10, 46, 9), temporal (BA 21, 37, 22, 42), parietal (BA 43 and 3), and occipital (BA 19) lobes and near BA 39 for white matter (WM). These results underscore the distributed neural basis of intelligence and suggest a developmental course for volume--IQ relationships in adulthood.

Adult↗

Distributed brain sites for the g-factor of intelligence.

The general factor of intelligence (g) results from the empirical fact that almost all cognitive tests are positively correlated with one another. Individual tests can be classified according to the degree to which they involve g. Here, regional brain volumes associated with g are investigated by means of structural magnetic resonance imaging and voxel-based morphometry. First, individual differences in the amount of regional gray matter volumes across the entire brain were correlated with eight cognitive tests showing distinguishable g-involvement. Results show that increasing g-involvement of individual tests was associated with increased gray matter volume throughout the brain. Second, it is shown that two prototypical measures of verbal and non-verbal g (i.e., vocabulary and block design) correlate with the amount of regional gray matter across frontal, parietal, temporal, and occipital lobes, suggesting that the general factor of intelligence relates to areas distributed across the brain as opposed to the view that g derives exclusively from the frontal lobes.

Adolescent↗

N-acetylaspartate levels of left frontal cortex are associated with verbal intelligence in women but not in men: a proton magnetic resonance spectroscopy study.

The left frontal cortex plays an important role in executive function and complex language processing inclusive of spoken language. The purpose of this work was to assess metabolite levels in the left and right prefrontal cortex and left anterior cingulum by proton magnetic resonance spectroscopy and relate results to verbal intelligence (Wechsler Adult Intelligence Scale revised) in a sample of college-educated healthy volunteers (dorsolateral prefrontal cortex [DLPFC]: n=52, 23 females, and left anterior cingulum: n=62, 22 females; age range: 20-75 years). In women only, N-acetylaspartate in the DLPFC and in the left anterior cingulate cortex was positively correlated with vocabulary scores. Our data support the hypothesis of existing gender differences regarding the involvement of the left frontal cortex in verbal processing as reflected in different correlations of specific metabolites with verbal scores.

Adult↗

Aggression, dominance, and affiliation: Their relationships with androgen levels and intelligence in 5-year-old children.

This study explores the potential relationship between social behavior (aggression, dominance, and affiliation) and testosterone, androstenedione, and DHEA measurements in 5-year-old children while also analyzing the moderating effect of IQ on the hormone-behavior relationship. 129 healthy normal Iberian children (60 boys and 69 girls) were videotaped in free play interactions in the school playground. Their behavior was then evaluated with particular emphasis on aggression, government, and affiliation. Testosterone, androstenedione, and DHEA levels were measured using an enzyme immunoassay technique in saliva samples. A test (K-BIT) which provides an IQ measurement for children was also administered to subjects. The correlation analysis revealed a positive relationship between the behavioral factor of Provocation and androstenedione in boys, and a regression analysis indicated that this relationship was moderated in a positive direction by the subject's intelligence. In girls, we observed a positive relationship between testosterone and Affectivity, with this relationship being moderated in a negative direction by intelligence.

Aggression↗

[Intelligent system to perform a diagnostic protocol for lymphatic invasion in laryngeal cancer].

Laryngeal carcinoma is the most frequent malignant tumour in head and neck. Node invasion is known to be one of the most important prognostic factors. The aim of this study has been to design an intelligent system to perform a diagnostic algorithm of metastasic neck nodes. 122 clinical reports of patients diagnosed of laryngeal carcinoma in our department have been reviewed. The compiled data have been: tumor site, T stage, N stage (clinical, after CT scan and post-surgery). The method used to design the intelligent system has been the ID3, which is able to generate a minimal decision tree. Palpation has been the variable that has given more information about node invasion. CT has proved to be more efficient in supraglottic tumours. ID3 method has shown to be useful in performing diagnostic algorithms, specially when the number of cases and diagnostic tests are high.

Adult↗

[The estimation of premorbid intelligence levels in French speakers].

UNLABELLED: Knowledge of cognitive performance earlier in life is essential in order to characterize precisely the extent to which these abilities have declined when an individual is diagnosed as having a dementing illness. The National Adult Reading Test (NART) was developed by Nelson and O'Connell to estimate premorbid intellectual ability in patients suffering from intellectual deterioration due to dementia. The test consists of 50 words, graded in difficulty, whose pronunciation cannot be determined from their spelling. The ability to successfully read irregularly spelt words is relatively robust in the face of current cognitive impairment and is a sensitive marker of intellectual attainment. Because the NART relies on orthographic irregularities in the English language, the construction of analogues of the test in other languages is not simply a matter of translation of the test content. Rather, words in the target language that have comparable properties to those in the NART must be sought. A French adaptation of the NART--the fNART--was developed by Bovet and calibrated on a small French-speaking Swiss sample. In a sample of 30 nondemented subjects, number of words pronounced correctly correlated highly with WAIS-R verbal and total IQ scores and less strongly with performance IQ (r = 0.43). Data available from an epidemiological survey undertaken in Geneva, Switzerland provided an opportunity to establish the measurement properties and construct validity of the fNART in a large sample unselected with respect to cognitive decline. In addition to the fNART, the survey incorporated a brief test battery assessing the domains of crystallized intelligence, memory and cognitive speed. An interview that enabled the diagnosis of dementia according to DSM IV criteria, the Mini Mental State Examination and the Psychogeriatric Assessment Scales (PAS) were also administered. If the fNART measures intellectual ability, substantial correlations between it and the test battery would be expected. Further validation of the test was sought by exploring its relation with years of education. The stability of the fNART was assessed by comparing the scores of subjects with and without dementia, and by examining the relationship of fNART scores to an informant-based report of change in cognitive performance from earlier in life assessed in the PAS. If the fNART is stable in the face of cognitive deterioration, no between-group differences or association with reported cognitive change would be expected. METHOD: Subjects were randomly selected from residents of the canton of Geneva aged over 65 years. The analyses reported here were undertaken on a sample of 368 persons who gave codable responses to at least 90% of the fNART items. They ranged in age from 65 to 94 years. Subjects were interviewed in their homes by trained lay interviewers. RESULTS: Cronbach's alpha for the forty-item scale was high (0.89). The percentage of subjects correctly pronouncing words ranged from 7.3% for "chamsin" to 96.7% for "agenda". Item response theory (IRT) models were fitted to the data. In a three-parameter model the value of the guessing (asymptote) parameter was vanishing small for all items. Accordingly, a two-parameter model was adopted. The discriminating power (slope) of items ranged considerably from 0.281 (rébus) to 1.192 (béotien). The average slope was 0.656. This corresponds to average factor loading of 0.528 (range 0.270 to 0.766.) The items measure a broad range of ability (mean threshold--0.719, sd = 1.540). Most items, however, discriminate at moderate levels. The parameter values obtained in the current study were compared to those estimated in a French sample of persons at risk of dementia . The correlation between item pairs for slope and parameter estimates was 0.53 and 0.70 respectively. This indicated substantial concordance between the samples regarding the difficulty of the items, but some differences in the power of groups to differentiate ability. In particular, a small number of words that performed very well in the "at risk" sample showed more moderate discrimination in the current study. Scores on the fNART were correlated with measures of crystallised intelligence, memory and cognitive speed. All correlations were statistically significant. With all tests entered a regression equation the multiple correlation coefficient was 0.63. Mean fNART scores of those suffering from DSM IV dementia and those meeting only Criterion A (multiple cognitive deficits) were lower than those of subjects meeting neither set of criteria. However subjects in the first two groups were older than subjects in the undemented group and had significantly lower educational attainment. When these two factors were controlled in an analysis of covariance, the magnitude of the differences between the groups, while still overall significantly different, was substantially reduced. A similar pattern of results applied when psychometric measures of cognitive state--the MMSE and the PAS Cognitive Impairment Scale--were used instead of diagnostic categories. The partial correlations of the fNART with the MMSE and PAS cognitive impairment scale controlling for age and education were 0.25 (P < 0.01) and -0.33 (P < 0.01) respectively. fNART scores did not differ between the sexes, nor were they significantly correlated with PAS Depression, Stroke or Behaviour Change scales. There was a small but significant correlation between the fNART and informant-assessed Cognitive Decline on the PAS. DISCUSSION: This study demonstrated the excellent measurement properties of a French adaptation of the National Adult Reading Test in a large probability sample of elderly native speakers and provided the first large-sample evidence to support the validity of the fNART as a test of intellectual functioning relatively robust to dementia status. The negligible values of the pseudo-guessing parameters suggest that the goal of choosing words whose pronunciation is not susceptible to guessing has been achieved. The average item discriminability was high and the words used covered the spectrum of ability. The finding of substantial relationships of cognitive performance and educational attainment with fNART scores is important in validating the test as a measure of premorbid cognitive ability. The low correlations of the fNART with informant-based assessment of cognitive decline and age support the fNART as being relative robust to decline in ability. The relationships observed in this French adaptation are comparable to those reported for the English instrument . However, subjects meeting DSM IV criteria for dementia or Criterion A only had lower scores than other subjects. Decline in NART scores with dementia has been observed, particularly in moderate and severe cases. Given that the mechanism of the fNART is the same as the NART it is to be expected that while generally robust to current dementia status, some decline in performance will occur with the progression of the disease. The relationships between the fNART and PAS scales was remarkably similar to those reported by Jorm et al. in an English-speaking sample between the PAS and NART. Although small, the correlation between the fNART and the PAS Cognitive Decline scale might have been expected to be non-significant if the measure were truly stable in the face of intellectual deterioration. However this correlation is mirrored in the original English instruments and may reflect the higher risk of dementia in persons of lower intellectual ability. CONCLUSION: Further research is desirable to improve the precision of the calibration of the scale against the WAIS-R. Nevertheless, this study has demonstrated that the fNART is a reliable and valid method of assessing premorbid intellectual ability in French speakers.

Aged↗

Does reading make you smarter? Literacy and the development of verbal intelligence.

The studies reported here represent the first steps in the development of a new research paradigm for studying the unique cognitive correlates of literacy. Reading experience exhibits enough isolable variance within a generally literate society to be reliably linked with cognitive differences. Research on such links is therefore facilitated because the consequences of engaging in literacy activities can be studied without necessarily obtaining totally illiterate samples or setting up cross-cultural comparisons. Issues that are at least analogous issues to those raised in cross-cultural research can be studied within literate societies with a paradigm such as this, and therefore the speed with which we can answer questions about the cognitive consequences of literacy may be greatly increased because more studies can be carried out, larger samples can be studied, and the range of the cognitive domains tapped can be widened. Research in this area appears to have been stifled because of the widespread acceptance of the most extreme interpretations of the outcome of Scribner and Cole's (1981) investigation--interpretations that have slowly diffused throughout the literature without being accompanied by any new data. These conclusions are fueled by a powerful social critique that advances the argument that the positive cultural and economic effects of literacy have been overstated--indeed, that literacy is, if anything, a repressive force (Auerbach, 1992; Street, 1984, 1988; Stuckey, 1991). Educational theorists such as Frank Smith accused the educational establishment of "overselling" literacy and have argued that "Literacy doesn't generate finer feelings or higher values. It doesn't even make anyone smarter" (1989, p. 354). The data reported herein appear to indicate that these theorists could well be wrong in this conclusion. If "smarter" means having a larger vocabulary and more world knowledge in addition to the abstract reasoning skills encompassed within the concept of intelligence, as it does in most laymen's definitions of intelligence (Stanovich, 1989; Sternberg, 1990), then reading may well make people smarter. Certainly our data demonstrate time and again that print exposure is associated with vocabulary, general knowledge, and verbal skills even after controlling for abstract reasoning abilities (as measured by such indicators as the Raven).(ABSTRACT TRUNCATED AT 400 WORDS)

Child↗

Micro-nutrient supplementation and the intelligence of children.

A growing number of double-blind placebo-controlled studies have considered the influence of micro-nutrient supplementation on the intelligence of children. Earlier studies prevented the drawing of conclusions as they did not systematically approach the topic. However, over the last 10 years, a series of studies have compared the impact of supplementation on either verbal or non-verbal measures of intelligence. In 10 out of 13 studies a positive response has been reported, always with non-verbal measures, in at least a sub-section of the experimental sample. A selective response to non-verbal tests was predicted as they reflect basic biologically functioning that could be expected to be influenced by diet. The evidence is that not all children respond to supplementation, rather there is a minority who benefit, whose diet offers low amounts of micro-nutrients. Such observations are consistent with dietary surveys that typically report a sub-set of children with a low intake. The topic is at a very early stage and needs the clarification gained from a series of large-scale studies that consider children of a wide range of ages, dietary styles and social backgrounds.

Child↗

Semantic structure in schizophrenia as assessed by the category fluency test: effect of verbal intelligence and age of onset.

It has been reported that long-term memory function, including the semantic structure of category, is impaired in patients with schizophrenia. The present study was performed to determine: (1) whether the deficit in semantic structure in schizophrenia is independent of cultural backgrounds, and (2) the effect of age of onset and verbal intelligence on the degradation of semantic structure in these patients. Fifty-seven Japanese patients with schizophrenia and 33 normal control subjects entered the study. The semantic structure was derived by Multidimensional Scaling (MDS) analysis based on data from the ANIMAL category fluency test. The semantic structure was compared between: (1) schizophrenic patients as a whole vs. normal control subjects; (2) earlier onset (age of onset <20 years) vs. later-onset groups of patients; and (3) high Vocabulary score (score of the Vocabulary subtest from the WAIS-R>7) vs. low Vocabulary score patient groups. Normal control subjects demonstrated the domestic/size dimension in semantic structure, while no such dimension was obtained in patients with schizophrenia. The subgroup comparisons revealed that the later onset or the high Vocabulary score group maintained a relatively intact semantic structure compared with the earlier onset or the low Vocabulary score group, respectively. These findings suggest that the deficit in semantic structure in patients with schizophrenia is commonly observed irrespective of cultural backgrounds, and that age of onset and the level of verbal intelligence are closely related to severity of degradation of the semantic structure in schizophrenia.

Adult↗

Spatiotemporal organization of brain dynamics and intelligence: an EEG study in adolescents.

This study investigated relationships between global dynamics of brain electric activity and intelligence. EEG was recorded monopolarly from 10 symmetric leads (10-20 system) in 37 (17 males) healthy subjects (mean age 13.7 years) at rest and during performance of two visually presented cognitive tasks, verbal (semantic grouping) and spatial (mental rotation). On another occasion, the subjects were administered the Intelligence Structure Test (IST). Both total IST score and some individual subtests of specific abilities showed significant positive correlations with EEG coherence in the theta band and significant negative relationships with EEG dimension, a measure of complexity and unpredictability of neural oscillatory dynamics underlying the EEG time series. Furthermore, EEG coherence and dimensional complexity were inversely related. Taken together, these EEG metrics accounted for over 30% of the variability of the total IST score in this sample. No significant effects of the task type (spatial vs. verbal) or specific abilities were observed. Long-distance theta coherence between frontal and parieto-occipital areas showed the most consistent relationship with cognitive abilities. The results suggest that order to chaos ratio in task-related brain dynamics may be one of the biological factors underlying individual differences in cognitive abilities in adolescents.

Adolescent↗

Differences in induced brain activity during the performance of learning and working-memory tasks related to intelligence.

Thirteen high intelligent (H-IQ) and 13 low intelligent (L-IQ) individuals solved two figural working-memory (WM) tasks and two figural learning tasks while their EEG was recorded. For the WM tasks, only in the theta band group related differences in induced event-related desynchronization/synchronization (ERD/ERS) were observed. L-IQ individuals displayed greater theta synchronization in the later phases of task completion (1000-2000 ms) as compared to H-IQ individuals. For the learning tasks group related differences in the three alpha bands were observed. In the upper alpha band L-IQ individuals showed greater ERD in the frontal brain areas, whereas H-IQ individuals displayed greater ERD in the parieto-occipital brain areas.

Adult↗