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Abstract Background Empirical evidence has demonstrated associations between pre-pregnancy obesity and perinatal maternal depressive symptoms. Omega-3 is an essential fatty acid derived from dietary sources that is critical for fetal brain development. Pre-pregnancy obesity is associated with higher omega-3 intake, but a weaker association between dietary intake and respective maternal and cord blood omega-3 levels. Further, lower intake of omega-3 during pregnancy has been linked to higher depressive symptoms. Yet, prior studies have not examined the interactive effects of pre-pregnancy overweight or obesity (OWOB) and prenatal maternal mental health symptoms on infant cord blood omega-3 levels. Methods Participants included 394 maternal-infant dyads from the NIH Environmental influences on Child Health Outcomes (ECHO) - Safe Passage Study in South Dakota. A pre-pregnancy body mass index (BMI) > 25 was used to dichotomize participants as OWOB (54%) vs. non-OWOB (46%). Prenatal maternal depressive symptoms were measured using the Edinburgh Postnatal Depression Scale (EPDS) and prenatal maternal anxiety symptoms were measured using the State-Trait Anxiety Inventory (STAI). We implemented linear regression models to examine the interaction term between pre-pregnancy BMI category and prenatal maternal mental health symptoms on cord blood omega-3 levels. Secondary analyses were stratified by pre-pregnancy BMI category. Results We observed a significant interaction between pre-pregnancy BMI category and prenatal maternal depressive symptoms with cord blood omega-3 (F(4,379) = 6.21, p

The HEALthy Brain and Child Development (HBCD) Study, a multi-site prospective longitudinal cohort study, will examine human brain, cognitive, behavioral, social, and emotional development beginning prenatally and planned through early childhood. Electroencephalography (EEG) is one of two brain imaging modalities central to the HBCD Study. EEG records electrical signals from the scalp that reflect electrical brain activity. In addition, the EEG signal can be synchronized to the presentation of discrete stimuli (auditory or visual) to measure specific cognitive processes with excellent temporal precision (e.g., event-related potentials; ERPs). EEG is particularly helpful for the HBCD Study as it can be used with awake, alert infants, and can be acquired continuously across development. The current paper reviews the HBCD Study’s EEG/ERP protocol: (a) the selection and development of the tasks (Video Resting State, Visual Evoked Potential, Auditory Oddball, Face Processing); (b) the implementation of common cross-site acquisition parameters and hardware, site setup, training, and initial piloting; (c) the development of the preprocessing pipelines and creation of derivatives; and (d) the incorporation of equity and inclusion considerations. The paper also provides an overview of the functioning of the EEG Workgroup and the input from members across all steps of protocol development and piloting.

The theta band is one of the most prominent frequency bands in the electroencephalography (EEG) power spectrum and presents an interesting paradox: while elevated theta power during resting state is linked to lower cognitive abilities in children and adolescents, increased theta power during cognitive tasks is associated with higher cognitive performance. Why does theta power, measured during resting state versus cognitive tasks, show differential correlations with cognitive functioning? This review provides an integrated account of the functional correlates of theta across different contexts. We first present evidence that higher theta power during resting state is correlated with lower executive functioning, attentional abilities, language skills, and IQ. Next, we review research showing that theta power increases during memory, attention, and cognitive control, and that higher theta power during these processes is correlated with better performance. Finally, we discuss potential explanations for the differential correlations between resting/task-related theta and cognitive functioning, and offer suggestions for future research in this area.

Abstract Background Prior research has demonstrated bidirectional associations between gestational diabetes mellitus (GDM) and perinatal maternal depression. However, the association between GDM, prenatal depression, and postpartum depression (PPD) has not been examined in a prospective cohort longitudinally. Methods Participants in the current analysis included 5,822 women from the National Institutes of Health’s Environmental influences on Child Health Outcomes (ECHO) Research Program: N = 4,606 with Neither GDM nor Prenatal Maternal Depression (Reference Category); N = 416 with GDM only; N = 689 with Prenatal Maternal Depression only; and N = 111 with Comorbid GDM and Prenatal Maternal Depression. The PROMIS-D scale was used to measure prenatal and postnatal maternal depressive symptoms. Primary analyses consisted of linear regression models to estimate the independent and joint effects of GDM and prenatal maternal depression on maternal postpartum depressive symptoms. Results A higher proportion of women with GDM were classified as having prenatal depression (N = 111; 21%) compared to the proportion of women without GDM who were classified as having prenatal depression (N = 689; 13%), however this finding was not significant after adjustment for covariates. Women with Comorbid GDM and Prenatal Maternal Depression had significantly increased postpartum depressive symptoms measured by PROMIS-D T-scores compared to women with Neither GDM nor Prenatal Maternal Depression (mean difference 7.02, 95% CI 5.00, 9.05). Comorbid GDM and Prenatal Maternal Depression was associated with an increased likelihood of PPD (OR 7.38, 95% CI 4.05, 12.94). However, women with GDM only did not have increased postpartum PROMIS-D T-scores or increased rates of PPD. Conclusions Our findings underscore the importance of universal depression screening during pregnancy and in the first postpartum year. Due to the joint association of GDM and prenatal maternal depression on risk of PPD, future studies should examine potential mechanisms underlying this relation.

Age-related structural and functional changes that occur during brain development are critical for cortical development and functioning. Previous electroencephalography (EEG) and magnetoencephalography (MEG) studies have highlighted the utility of power spectra analyses and have uncovered age-related trends that reflect perceptual, cognitive, and behavioural states as well as their underlying neurophysiology. The aim of the current study was to investigate age-related change in aperiodic and periodic alpha activity across a large sample of pre- and school-aged children (N = 502, age range 4 -11-years-of-age). Power spectra were extracted from baseline EEG recordings (eyes closed, eyes open) for each participant and parameterized into aperiodic activity to derive the offset and exponent parameters and periodic alpha oscillatory activity to derive the alpha peak frequency and the associated power estimates. Multilevel models were run to investigate age-related trends and condition-dependent changes for each of these measures. We found quadratic age-related effects for both the aperiodic offset and exponent. In addition, we observed increases in periodic alpha peak frequency as a function of age. Aperiodic measures and periodic alpha power were larger in magnitude during eyes closed compared to the eyes open baseline condition. Taken together, these results advance our understanding of the maturational patterns/trajectories of brain development during early- to middle-childhood.

Automatic human activity recognition is an area of interest for developing health, security, and sports applications. Currently, it is necessary to develop methods that facilitate the training process and reduce the costs of this process. This paper explores a methodology to classify human physical activities in a semi-supervised paradigm. With this approach, it is possible to reduce the number of labels necessary to train the learning model and the complexity of this process. This process begins by deducting the number of micro-movements or sub-movements where the data should be grouped and assigning the label through a clustering technique. We perform this procedure for a specific group of micro-movements whose label is unknown. Later, the classification process starts by using two methods, a Support Vector Machine (SVM) that identifies the micro-movements and a Markov Hidden Model that detects the human physical activity as a function of sequences. The results show that with a percentage of 80 % of the known labels, we achieved outcomes like the supervised paradigms found in the literature. This facilitates training these learning models by reducing the number of examples requiring labels and reduces the economic costs, which is one of the significant limitations of machine learning processes.

l maestro peruano Alejandro CussiánovichVillarán es un destacado pedagogo, teólogo y defensor de los derechos de la niñez. Es reconocido internacionalmente por sus contribuciones tanto en el terreno de las teorías críticas de infancias como en el de las prácticas pedagógicas emancipatorias con niñas y niños de sectores populares latinoamericanos, en particular, con niñas, niños y adolescentes trabajadores (NNATs). La relevancia de su obra tiene que ver con que ha sabido articular la labor como educador de niñas y niños con la producción teórica de los conocimientos que fueron emergiendo de dichas experiencias. Cussiánovich es el gran formulador de la Pedagogía de la Ternura y uno de los principales referentes académicos y pedagógicos del co-protagonismo como nuevo paradigma de infancias. Los másde 85 años de edad cronológica que ya acumula no le impiden vivir el presente intensamente, honrando con curiosidad y falta de miedo a soñar, su estar siendo y andar por el mundo de un modo infantil.

Children with a history of behaviorally inhibited (BI) temperament face a heightened risk for anxiety disorders and often use control strategies that are less planful. Although these relations have been observed concurrently in early childhood, middle childhood, and adolescence, few studies leverage longitudinal data to examine long-term prospective relations between cognitive control and anxiety. Using longitudinal data from 149 adolescents (55% female; from predominantly White middle-class families), we assessed temperament in toddlerhood and cognitive control and anxiety at 4, 12, 15, and 18 years of age. At age 4, separate measures of task switching and inhibitory control were obtained via the Dimensional Change Card Sort and Stroop tasks, respectively. At 12, 15, and 18 years of age, planful control was assessed with the AX-Continuous Performance Test, and anxiety symptoms were assessed via self-report. Growth curve models revealed that children with greater inhibitory control at age 4, regardless of BI status, experienced a sharper increase in anxiety symptoms across adolescence. Children with heightened BI during early childhood displayed lower levels of planful control at age 12, but experienced a more rapid improvement in these skills across adolescence. Children with greater task switching ability at age 4 displayed higher levels of planful control at age 12, but experienced a smaller increase in these skills across adolescence. Finally, children's growth rate for anxiety was unrelated to their growth rate for planful control. These findings reveal that early-life temperament, cognitive control, and anxiety remain interconnected across development, from toddlerhood to at least late adolescence.

Abstract Affect-biased attention is an automatic process that prioritizes emotionally or motivationally salient stimuli. Several models of affect-biased attention and its development suggest that it comprises an individual’s ability to both engage with and disengage from emotional stimuli. Researchers typically rely on singular tasks to measure affect-biased attention, which may lead to inconsistent results across studies. Here we examined affect-biased attention across three tasks in a unique sample of 193 infants, using both variable-centered (factor analysis; FA) and person-centered (latent profile analysis; LPA) approaches. Using exploratory FA, we found evidence for two factors of affect-biased attention: an Engagement factor and a Disengagement factor, where greater maternal anxiety was related to less engagement with faces. Using LPA, we found two groups of infants with different patterns of affect-biased attention: a Vigilant group and an Avoidant group. A significant interaction noted that infants higher in negative affect who also had more anxious mothers were most likely to be in the Vigilant group. Overall, these results suggest that both FA and LPA are viable approaches for studying distinct questions related to the development of affect-biased attention, and set the stage for future longitudinal work examining the role of infant negative affect and maternal anxiety in the emergence of affect-biased attention.

EEG provides a rich measure of brain activity that can be characterized as neuronal oscillations. However, most developmental EEG work to date has focused on analyzing EEG data as Event-Related Potentials (ERPs) or power based on the Fourier transform. While these measures have been productive, they do not leverage all the information contained within the EEG signal. Namely, ERP analyses ignore non-phase-locked signals and Fourier-based power analyses ignore temporal information. Time-frequency analyses can better characterize the oscillations contained in the EEG data. By separating power and phase information across different frequencies, time-frequency measures provide a closer interpretation of the neurophysiological mechanisms, facilitate translation across neurophysiology disciplines, and capture processes not observed by ERP or Fourier-based analyses (e.g., connectivity). Despite their unique contributions, a literature review of this journal reveals that time-frequency analyses of EEG are yet to be embraced by the developmental cognitive neuroscience field. This manuscript presents a conceptual introduction to time-frequency analyses for developmental researchers. To facilitate the use of time-frequency analyses, we include a tutorial of accessible scripts, based on Cohen (2014), to calculate time-frequency power (signal strength), inter-trial phase synchrony (signal consistency), and two types of phase-based connectivity (inter-channel phase synchrony and weighted phase lag index).

This research aims to propose a supply chain model that is supported by blockchain technology through the development of smart contracts. Functional specifications are established that comply with the proposal through the selection of technological tools, for the construction of a smart contract where its distribution is specified as structures, state variables, and functions, which provide a solution to the requirements of the model based to an example made in the pharmaceutical sector. Simulating the interaction within a test Ethereum network in order to analyze the traceability flow of a product, through the intervention of participants within the supply chain such as manufacturers, suppliers or customers.

La investigación presenta la metodología M3S como alternativa en el desarrollo de proyectos basados en la analítica de datos, por cuanto permite usar modelos matemáticos y explotar datos para generar conocimiento sin dejar de lado aspectos importantes para cualquier actividad como el nivel de madurez de la información y métodos que tienen que ver con Inteligencia Artificial como son los árboles de decisión y el aprendizaje automático, el principal objetivo de la metodología en juntar todos estos aspectos que servirán de mucha ayuda dentro de los procesos de extracción, transformación y carga ,asegurándonos que las decisiones que sean tomadas dentro de la organización sean las mejores. Mediante la implementación de una metodología de decisión se puede mejorar la explotación de información y obtener resultados más confiables, llegando a tomar decisiones más oportunas y eficaces en el tiempo.

Aperiodic activity contains important and meaningful physiological information that has been shown to dynamically change with age. However, no longitudinal studies have examined its development during early-to-mid adolescence. The current study closes this gap by investigating age- and sex-related longitudinal change in aperiodic activity across early-to-mid adolescence (N = 186; 54.3% female). Participants completed a resting state task and a Flanker task while EEG was record at age 13 years and again at age 15 years. Across different tasks and two time points, we observed significant age-related reductions in aperiodic offset and exponent. In addition, we observed significant sex-related differences in the aperiodic offset and exponent over time. We did not find any significant correlation between aperiodic activity and behavioral measures, nor did we find any significant condition-dependent change in aperiodic activity during the Flanker task. However, we did observe significant correlations between aperiodic activity across tasks and over time, suggesting that aperiodic activity may demonstrate stable trait-like characteristics. Collectively, these results may suggest a developmental parallelism between decreases in aperiodic components alongside adolescent brain development during this period; changes to cortical and subcortical brain structure and organization during early adolescence may have been responsible for the observed sex-related effects.

Objective: Shortage of general neurosurgery and specialized neurotrauma care in low resource settings is a critical setback in the national surgical plans of low and middle-income countries (LMIC). Neurotrauma fellowship programs typically exist in high-income countries (HIC), where surgeons who fulfill the requirements for positions regularly stay to practice. Due to this issue, neurosurgery residents and medical students from LMICs do not have regular access to this kind of specialized training and knowledge-hubs. The objective of this paper is to present the results of a recently established neurotrauma fellowship program for neurosurgeons of LMICs in the framework of global neurosurgery collaborations, including the involvement of specialized parallel education for neurosurgery residents and medical students.Methods: The Global Neurotrauma Fellowship (GNTF) program was inaugurated in 2015 by a multi-institutional collaboration between a HIC and an LMIC. The course organizers designed it to be a 12-month program based on adapted neurotrauma international competencies with the academic support of the Barrow Neurological Institute at Phoenix Children's Hospital and Meditech Foundation in Colombia. Since 2018, additional support from the UK, National Institute of Health Research (NIHR) Global Health Research in Neurotrauma Project from the University of Cambridge enhanced the infrastructure of the program, adding a research component in global neurosurgery and system science.Results: Eight fellows from Brazil, Venezuela, Cuba, Pakistan, and Colombia have been trained and certified via the fellowship program. The integration of international competencies and exposure to different systems of care in high-income and low-income environments creates a unique environment for training within a global neurosurgery framework. Additionally, 18 residents (Venezuela, Colombia, Ecuador, Peru, Cuba, Germany, Spain, and the USA), and ten medical students (the United Kingdom, USA, Australia, and Colombia) have also participated in elective rotations of neurotrauma and critical care during the time of the fellowship program, as well as in research projects as part of an established global surgery initiative.Conclusion: We have shown that it is possible to establish a neurotrauma fellowship program in an LMIC based on the structure of HIC formal training programs. Adaptation of the international competencies focusing on neurotrauma care in low resource settings and maintaining international mentoring and academic support will allow the participants to return to practice in their home-based countries.

Background: Attention processes may play a central role in shaping trajectories of socioemotional development. Individuals who are clinically anxious or have high levels of trait anxiety sometimes show attention biases to threat. There is emerging evidence that young children also demonstrate a link between attention bias to salient stimuli and broad socioemotional profiles. However, we do not have a systematic and comprehensive assessment of how attention biases, and associated neural and behavioral correlates, emerge and change from infancy through toddlerhood. This paper describes the Longitudinal Attention and Temperament study (LAnTs), which is designed to target these open questions.Method: The current study examines core components of attention across the first 2 years of life, as well as measures of temperament, parental psychosocial functioning, and biological markers of emotion regulation and anxiety risk. The demographically diverse sample (N = 357) was recruited from the area surrounding State College, PA, Harrisburg, PA, and Newark, NJ. Infants and parents are assessed at 4, 8, 12, 18, and 24 months. Assessments include repeated measures of attention bias (via eye-tracking) in both infants and parents, and measures of temperament (reactivity, negative affect), parental traits (e.g., anxiety and depression), biological markers (electrophysiology, EEG, and respiratory sinus arrythmia, RSA), and the environment (geocoding, neighborhood characteristics, perceived stress). Outcomes include temperamental behavioral inhibition, social behavior, early symptom profiles, and cellular aging (e.g., telomere length).Discussion: This multi-method study aims to identify biomarkers and behavioral indicators of attentional and socioemotional trajectories. The current study brought together innovative measurement techniques to capture the earliest mechanisms that may be causally linked to a pervasive set of problem behaviors. The analyses the emerge from the study will address important questions of socioemotional development and help shape future research. Analyses systematically assessing attention bias patterns, as well as socioemotional profiles, will allow us to delineate the time course of any emerging interrelations. Finally, this study is the first to directly assess competing models of the role attention may play in socioemotional development in the first years of life.

A large body of research has established a relation between maternal education and children's neurocognitive functions, such as executive function and language. However, most studies have focused on early childhood and relatively few studies have examined associations with changes in maternal education over time. Consequently, it remains unclear if early maternal education is longitudinally related to neurocognitive functions in children, adolescents, and young adults. In addition, the associations between changes in maternal education across development and more broadly defined neurocognitive outcomes remain relatively untested. The current study leveraged a large multicohort sample to examine the longitudinal relations between perinatal maternal education and changes in maternal education during development with children's, adolescents', and young adults' neurocognitive functions (N = 2,688; M[subscript age] = 10.32 years; SD[subscript age] = 4.26; range = 3-20 years). Moreover, we examined the differential effects of perinatal maternal education and changes in maternal education across development on executive function and language performance. Perinatal maternal education was positively associated with children's later overall neurocognitive function. This longitudinal relation was stronger for language than executive function. In addition, increases in maternal education were related to improved language performance but were not associated with executive functioning performance. Our findings support perinatal maternal education as an important predictor of neurocognitive outcomes later in development. Moreover, our results suggest that examining how maternal education changes across development can provide important insights that can help inform policies and interventions designed to foster neurocognitive development. [This paper was written on behalf of program collaborators for Environmental Influences on Child Health Outcomes.]

El uso actual que dan los estudiantes universitarios a las redes sociales, y la postura de los centros educativos al momento de incorporar estos medios a sus planes académicos, es el objetivo y fundamento que justifica este trabajo para que se analice el uso de la data que proviene de publicaciones extraídas de FanPages de tres universidades de Quito, además de los comentarios y reacciones de los usuarios a dichas publicaciones. La comparación entre el uso para lo académico y para el ocio es el principal eje que se examinó, mostrando sus resultados a través de gráficos y estadísticas. En base en este análisis se plantea un posible recurso basado en la tecnología de los chatbots para generar un mayor compromiso y fidelidad por parte de los universitarios hacia su centro de educación. De la investigación realizada se pudo comprobar que los estudiantes buscan en las redes sociales generar experiencias y sentimientos, por lo cual interactúan más con las páginas de ocio que con las académicas. Ahí encuentran una cantidad de palabras y publicaciones que les permite identificarse y convertirse en un seguidor fiel, que tiene como característica principal, el compartir, comentar y reaccionar con la mayoría de los posteos.

Adolescence is marked by increased reward-seeking, which can alter cognitive control abilities. Previous research found that rewards actually improve cognitive control in children, adolescents, and adults, but these studies only investigated reactive control. The goal of the current study was to elucidate reward’s influence on both proactive and reactive control during adolescence. To this end, 68 (Mean age = 13.61, SD = 2.52) male adolescents completed a rewarded cued flanker paradigm while electroencephalogram (EEG) was collected. Theta power and inter-channel phase synchrony, both implicated in cognitive control, were quantified after cues and stimuli to understand their role during reward-cognitive control interactions. The data suggest that reward reduced interference during reactive control; however, reward increased interference during proactive control in this sample of adolescent males. Reward-related increases in cue-locked theta power predicted more reward-related RT interference on proactive trials. In contrast, increases in stimulus-locked theta ICPS were associated with better performance on rewarded proactive trials. The pattern of results show that reward differentially impacted proactive and reactive control in adolescence, which may have implications for the increased risk-taking behaviors observed during adolescence.

Children that have experienced psychosocial neglect display impairments in self-monitoring and controlling their behavior (cognitive control) and are at broad, transdiagnostic risk for psychopathology. However, the neural underpinnings of such effects remain unclear. Event-related mediofrontal theta oscillations reflect a neural process supporting cognitive control that may relate to transdiagnostic psychopathology risk. Recent work demonstrates reduced mediofrontal theta in rodent models of neglect; however, similar findings have not been reported in humans. Here, 136 children reared in Romanian institutions were randomly assigned to either a high-quality foster care intervention and placed with families or remained in institutions; 72 never-institutionalized children served as a comparison group. The intervention ended at 54 months; event-related mediofrontal theta and psychopathology were assessed at 12- and 16-year follow-up assessments. Institutional rearing (neglect) predicted reduced mediofrontal theta by age 16, which was linked to heightened transdiagnostic risk for psychopathology (P factor); no specific associations with internalizing/externalizing factors were present once transdiagnostic risk was accounted for. Earlier placement into foster care yielded greater mediofrontal activity by age 16. Moreover, foster care placement was associated with the developmental trajectory of mediofrontal theta across the adolescent period (ages 12–16), which was, in turn, associated with greater reductions in transdiagnostic risk across this same period. These data reflect the first experimental evidence that the development of mediofrontal theta is impacted by removal from situations of neglect in humans, and further characterizes the importance of studying developmental change in mediofrontal theta during the adolescent period.

Introduction: Vulnerability can be defined as a lack of material and immaterial resources, which prevents the use of opportunities that may advance one’s self-interest. The presence of these welfare resources prevents reductions in the quality of life. Objective: The objective of this study was to build an index of vulnerability using characteristics of the physical, human, social and functional capital of adults in three cities of Colombia in the year 2016 and to determine the factors that contribute most to vulnerability. Materials and methods: We conducted a transversal study with primary information sources applying 1,514 surveys among people aged 60 years and over in Medellín, Barranquilla, and Pasto. For the construction of the vulnerability index, we used factor analysis with varimax rotation and the principal component method. Results: The conditions that lead to a person’s vulnerability were related mainly to human capital (quality of life, mental health and habits). The other types of capital that contributed to vulnerability were physical capital (occupation), social capital (accompaniment), and functional capital (functional independence). The highest vulnerability was registered among the residents of Pasto. The factors associated with vulnerability were the city of residence, the sex, the educational level and the role of the person in the home. Conclusion: In 58.55% of elderly people vulnerability was explained by the use of time, the functional independence and the subjective well-being. These findings contribute to the improvement of the quality of life, mainly those related to maintaining functional independence as long as possible, being occupied, improving mental health, and avoiding the risks of depression, anxiety, cognitive deterioration and deleterious habits.

En la actualidad para el éxito de las empresas es decisiva la capacidad de procesar de manera eficiente una considerable cantidad de datos de una amplia gama de fuentes en cualquier lugar y momento. El análisis de datos se convierte en una estrategia clave para la mayoría de las grandes organizaciones para lograr una ventaja competitiva. Por tanto, surgen nuevas cuestiones a ser tomadas en cuenta a la hora de almacenar y consultar cantidades masivas de datos que, en general, las bases de datos relacionales tradicionales no pueden abarcar. Estas cuestiones incluyen desde la capacidad de distribuir y escalar el procesamiento o el almacenamiento físico, hasta la posibilidad de utilizar esquemas o tipos de datos no usuales. El objetivo principal de la investigación es evaluar el rendimiento de las bases de datos columnares en analítica de datos. Efectuar una comparación con bases de datos de tipo relacional, para determinar su eficiencia, realizando mediciones en distintos escenarios de pruebas. El presente estudio pretende proporcionar (evidencia científica) un instrumento que facilite a los profesionales interesados en la analítica de datos una base para sus conocimientos, al incluir cuadros y tablas comparativos con datos cuantitativos con los que se pueda sustentar las conclusiones de esta investigación. Se usa una metodología aplicada y de diseño descriptivo cuantitativo-comparativo al ser el que mejor se ajusta al estudio de características de eficiencia de bases de datos. En la medición se usa el método de promedios para n número de tomas y se soporta en la herramienta Aqua Data Studio que garantiza una alta confiabilidad al ser un programa especializado para la administración de bases de datos. Finalmente, se ha logrado determinar que las bases columnares tienen un mejor rendimiento en ambientes de análisis de datos.

Although many studies have examined the location and function of the mirror neuron system (MNS) in human adults, we know relatively little about its development. The current study fills this gap by using fMRI to examine for the first time the development of the brain regions implicated in action execution, action observation, and their overlap. We examined age-related differences in brain activation by contrasting a group of children (n = 21) and adults (n = 18). Surfaced-based analyses of action execution and action observation revealed that brain activity for action observation and execution in children is similar to adults, though adults displayed greater activity than children within the right superior parietal lobe during action execution and the occipital lobe during action observation compared to control. Further, within-individual measures of overlapping activation between action observation and execution revealed age-related differences, such that adults, compared to children, displayed more spatial overlap. Moreover, the extent of the overlap in activation across conditions was related to better motor skills and action representation abilities in children. These data indicate that the MNS changes between middle childhood and adulthood. The data also demonstrate the functional significance of the putative MNS to motor skills and action representation during development. Keywords: Action execution, Action observation, Brain development, fMRI, Mirror neuron system

Despite the importance of peer experiences during early childhood for socioemotional development, few studies have examined how young children process and respond to peer feedback. The current study used an ecologically valid experimental paradigm to study young children’s processing of peer social acceptance or rejection. In this paradigm, 118 children (50% boys; Mage = 72.92 months; SD = 9.30; Rangeage = 53.19–98.86 months) sorted pictures of unknown, similar-aged peers into those with whom they wished or did not wish to play. They were later told how these peers sorted them, such that in half of the cases the presumed peer accepted or rejected the participant. When rejected children reported more distress (sadness), they were slower to rate their affective response, and exhibited increased mid-frontal EEG theta power, compared to when accepted. Moreover, we found that children’s affective responses and EEG theta power for rejection predicted internalizing problems, especially if they displayed an attention bias to social threat. Our results further validate and illustrate the utility of this paradigm for studying how young children process and respond to peer feedback. Keywords: Peer feedback, Internalizing problems, EEG theta power, Social rejection, Attention bias to threat

There is growing interest regarding the impact of affect-biased attention on psychopathology. However, most of the research to date lacks a developmental approach. In the present review, we examine the role affect-biased attention plays in shaping socioemotional trajectories within a developmental neuroscience framework. We propose that affect-biased attention, particularly if stable and entrenched, acts as a developmental tether that helps sustain early socioemotional and behavioral profiles over time, placing some individuals on maladaptive developmental trajectories. Although most of the evidence is found in the anxiety literature, we suggest that these relations may operate across multiple domains of interest, including positive affect, externalizing behaviors, drug use, and eating behaviors. We also review the general mechanisms and neural correlates of affect-biased attention, as well as the current evidence for the co-development of attention and affect. Based on the reviewed literature, we propose a model that may help us better understand the nuances of affect-biased attention across development. The model may serve as a strong foundation for ongoing attempts to identify neurocognitive mechanisms and intervene with individuals at risk. Finally, we discuss open issues for future research that may help bridge existing gaps in the literature.