Working memory deficits in high-functioning adolescents with autism spectrum disorders: neurpsychological and neuroimaging correlates

Working memory is a temporary storage system under attentional control. It is believed to play a central role in online processing of complex cognitive information and may also play a role in social cognition and interpersonal interactions. Adolescents with a disorder on the autism spectrum display problems in precisely these domains. Social impairments, communication difficulties, and repetitive interests and activities are core domains of autism spectrum disorders (ASD), and executive function problems are often seen throughout the spectrum. As the main cognitive theories of ASD, including the theory of mind deficit hypotheses, weak central coherence account, and the executive dysfunction theory, still fail to explain the broad spectrum of symptoms, a new perspective on the etiology of ASD is needed. Deficits in working memory are central to many theories of psychopathology, and are generally linked to frontal-lobe dysfunction. This article will review neuropsychological and (functional) brain imaging studies on working memory in adolescents with ASD. Although still disputed, it is concluded that within the working memory system specific problems of spatial working memory are often seen in adolescents with ASD. These problems increase when information is more complex and greater demands on working memory are made. Neuroimaging studies indicate a more global working memory processing or connectivity deficiency, rather than a focused deficit in the prefrontal cortex. More research is needed to relate these working memory difficulties and neuroimaging results in ASD to the behavioral difficulties as seen in individuals with a disorder on the autism spectru

Risk factors for deliberate self-poisoning among children and adolescents in The Netherlands

INTRODUCTION: In the past decade, the number of deliberate self-poisonings involving young people has increased strongly worldwide. This study aimed to gain insight into risk factors associated with deliberate self-poisonings among children and adolescents reported to the Dutch Poisons Information Center. METHODS: A study was performed between 1 February 2022 and 31 January 2023 involving those aged 8-17 years of age with deliberate self-poisoning. Data were collected on patient characteristics (age, gender, body mass index and living situation) and exposure characteristics (type of toxicant, way of acquiring toxicant and day of exposure). RESULTS: The Dutch Poisons Information Center was consulted about 1,424 deliberate self-poisonings among children and adolescents (10-17 years old). A high percentage of patients were female (85 percent), had a body mass index classified as overweight/obese (27 percent) and lived in a mental healthcare facility (13 percent). Patients mainly exposed themselves to pharmaceuticals, especially over-the-counter medications such as paracetamol (46 percent) and ibuprofen (15 percent). Young people living with parents/caregivers had higher odds of ingesting prescription pharmaceuticals or over-the-counter medication, while those living in a mental healthcare facility were more likely to ingest household products, personal care products or foreign bodies (predominantly batteries). DISCUSSION: This study sheds light on the pervasive issue of deliberate self-poisoning among children and adolescents, advocating for poisoning prevention strategies and promoting mental health of youth. Limitations include reliance on self-reported data from patients and the absence of clinical outcome data. CONCLUSIONS: Female gender, a high body mass index and living in a mental healthcare facility are associated with in increased risk of deliberate self-poisonings in children and adolescents (10-17 years old). Prevention of deliberate self-poisonings among youth could focus on restricting access to medication and other potentially hazardous non-pharmaceuticals, such as household products and batteries, as well as limiting the sales of over-the-counter medication, especially paracetamol, to this young population

Significant Increase in Deliberate Self-Poisonings Among Adolescents During the Second Year of the COVID-19 Pandemic

PURPOSE: The COVID-19 pandemic has been associated with a decline in mental health of adolescents. The aim of this study was to analyze the rate of deliberate self-poisonings (DSPs) among adolescents reported to the Dutch Poisons Information Center before and during the COVID-19 pandemic. METHODS: A retrospective study from 2016 until 2021 was performed to characterize DSPs among adolescents, and to analyze trends in the number of DSPs. All DSPs among adolescents with the age of 13 up to and including 17 years were included. DSP characteristics included: age, gender, bodyweight, used substance, dose, and treatment advice. Trends in the number of DSPs were analyzed using time series decomposition and Seasonal Autoregressive Integrated Moving Average models. RESULTS: Six thousand nine hundred fifteen DSPs in adolescents were recorded from January first 2016 until December 31st 2021. Females were involved in 84% of adolescent DSPs. A strong increase in the number of DSPs was observed in 2021 (45% increase compared to 2020), which deviated from the predicted trend based on previous years. This increase was most prominent in 13-, 14-, and 15-year-old female adolescents. Commonly involved drugs were paracetamol, ibuprofen, methylphenidate, fluoxetine, and quetiapine. The contribution of paracetamol rose from 33% in 2019 to 40% in 2021. DISCUSSION: The strong increase in the number of DSPs during the second year of the COVID-19 pandemic suggests that long-term containment measures such as quarantines, lockdowns, and school closures may enhance self-harm behavior among adolescents, especially among younger females (13-15 years of age), with a preference for paracetamol as DSP substance

Lung function decline in relation to diagnostic criteria for airflow obstruction in respiratory symptomatic subjects

Contains fulltext : 108583.pdf (publisher's version ) (Open Access)BACKGROUND: Current COPD guidelines advocate a fixed < 0.70 FEV1/FVC cutpoint to define airflow obstruction. We compared rate of lung function decline in respiratory symptomatic 40+ subjects who were 'obstructive' or 'non-obstructive' according to the fixed and/or age and gender specific lower limit of normal (LLN) FEV1/FVC cutpoints. METHODS: We studied 3,324 respiratory symptomatic subjects referred to primary care diagnostic centres for spirometry. The cohort was subdivided into four categories based on presence or absence of obstruction according to the fixed and LLN FEV1/FVC cutpoints. Postbronchodilator FEV1 decline served as primary outcome to compare subjects between the respective categories. RESULTS: 918 subjects were obstructive according to the fixed FEV1/FVC cutpoint; 389 (42%) of them were non-obstructive according to the LLN cutpoint. In smokers, postbronchodilator FEV1 decline was 21 (SE 3) ml/year in those non-obstructive according to both cutpoints, 21 (7) ml/year in those obstructive according to the fixed but not according to the LLN cutpoint, and 50 (5) ml/year in those obstructive according to both cutpoints (p = 0.004). CONCLUSION: This study showed that respiratory symptomatic 40+ smokers and non-smokers who show FEV1/FVC values below the fixed 0.70 cutpoint but above their age/gender specific LLN value did not show accelerated FEV1 decline, in contrast with those showing FEV1/FVC values below their LLN cutpoint

Platinum- and palladium-catalysed Kocheshkov redistribution of dialkyltin dichlorides or tetraalkyltins with tin tetrachloride

The Kocheshkov redistribution reaction of tetraalkyltin or dialkyltin dichlorides with tin tetrachloride is effectively catalysed by platinum(ii) or palladium(ii) phosphine complexes, yielding alkyltin trichlorides in high yield and with high selectivity

Domain adaptation with hidden Markov random fields

In this paper, we propose a method to match multitemporal sequences of hyperspectral images using Hidden Markov Random Fields. Based on the matching of the data manifold, the algorithm matches the reflectance spectra of the classes, thus allowing the reuse of labeled examples acquired on one image to classify the other. This allows valorization of spectra collected in situ to other acquisitions than the one they were acquired for, without user supervision, prior knowledge of the class reflectance in the new domain or global information about atmospheric conditions.</p

Spectral adaptation of hyperspectral flight lines using VHR contextual information

Due to technological constraints, hyperspectral earth observation imagery are often a mosaic of overlapping flight lines collected in different passes over the area of interest. This causes variations in aqcuisition conditions such that the reflected spectrum can vary significantly between these flight lines. Partly, this problem is solved by atmospherical correction, but residual spectral differences often remain. A probabilistic domain adaptation framework based on graph matching using Hidden Markov Random Fields was recently proposed for transforming hyperspectral data from one image to better correspond to the other. This paper investigates the use of scale and angle invariant textural features for improving the performance of the used Hidden Markov Random Field matching framework in the case of hyperspectral flight lines. These textural features are derived from the filtering of VHR optical imagery with a bank of Gabor filters with varying orientation, scale and frequency and subsequently rendering them invariant to scale and frequency by applying the 2D DFT on the filter responses in the scale and frequency space.</p