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Developmental dyslexia is a common neurodevelopmental disorder characterized by difficulties in reading and writing. Although underlying biological and genetic mechanisms remain unclear, anomalies in phonological processing and auditory processing have been associated with dyslexia. Several candidate risk genes have also been identified, with KIAA0319 as a main candidate. Animal models targeting the rodent homolog (Kiaa0319) have been used to explore putative behavioral and anatomic anomalies, with mixed results. For example after downregulation of Kiaa0319 expression in rats via shRNA, significant adult rapid auditory processing impairments were reported, along with cortical anomalies reflecting atypical neuronal migration. Conversely, Kiaa0319 knockout (KO) mice were reported to have typical adult auditory processing, and no visible cortical anomalies. To address these inconsistencies, we tested Kiaa0319 KO mice on auditory processing tasks similar to those used previously in rat shRNA knockdown studies. Subsequent neuroanatomic analyses on these same mice targeted medial geniculate nucleus (MGN), a receptive communication-related brain structure. Results confirm that Kiaa0319 KO mice exhibit significant auditory processing impairments specific to rapid/brief stimuli, and also show significant volumetric reductions and a shift toward fewer large and smaller neurons in the MGN. The latter finding is consistent with post mortem MGN data from human dyslexic brains. Combined evidence supports a role for KIAA0319 in the development of auditory CNS pathways subserving rapid auditory processing functions critical to the development of speech processing, language, and ultimately reading. Results affirm KIAA0319 variation as a possible risk factor for dyslexia specifically via anomalies in central acoustic processing pathways.

Central auditory processing disorder (CAPD) is associated with difficulties hearing and processing acoustic information, as well as subsequent impacts on the development of higher-order cognitive processes (i.e., attention and language). Yet CAPD also lacks clear and consistent diagnostic criteria, with widespread clinical disagreement on this matter. As such, identification of biological markers for CAPD would be useful. A recent genome association study identified a potential CAPD risk gene, USH2A. In a homozygous state, this gene is associated with Usher syndrome type 2 (USH2), a recessive disorder resulting in bilateral, high-frequency hearing loss due to atypical cochlear hair cell development. However, children with heterozygous USH2A mutations have also been found to show unexpected low-frequency hearing loss and reduced early vocabulary, contradicting assumptions that the heterozygous (carrier) state is &ldquo, phenotype free&rdquo, Parallel evidence has confirmed that heterozygous Ush2a mutations in a transgenic mouse model also cause low-frequency hearing loss (Perrino et al., 2020). Importantly, these auditory processing anomalies were still evident after covariance for hearing loss, suggesting a CAPD profile. Since usherin anomalies occur in the peripheral cochlea and not central auditory structures, these findings point to upstream developmental feedback effects of peripheral sensory loss on high-level processing characteristic of CAPD. In this study, we aimed to expand upon the mouse behavioral battery used in Perrino et al. (2020) by evaluating central auditory brain structures, including the superior olivary complex (SOC) and medial geniculate nucleus (MGN), in heterozygous and homozygous Ush2a mice. We found that heterozygous Ush2a mice had significantly larger SOC volumes while homozygous Ush2a had significantly smaller SOC volumes. Heterozygous mutations did not affect the MGN, however, homozygous Ush2a mutations resulted in a significant shift towards more smaller neurons. These findings suggest that alterations in cochlear development due to USH2A variation can secondarily impact the development of brain regions important for auditory processing ability.

Theoretical and modeling studies demonstrate that heterosynaptic plasticity - changes at synapses inactive during induction - facilitates fine-grained discriminative learning in Hebbian-type systems, and helps to achieve a robust ability for repetitive learning. A dearth of tools for selective manipulation has hindered experimental analysis of the proposed role of heterosynaptic plasticity in behavior. Here we circumvent this obstacle by testing specific predictions about changes in heterosynaptic plasticity, and associated behavioral consequences, following experimental manipulation of adenosine A1 receptors (A1R). We show that, compared to wild-type controls, A1R-knockout mice have impaired synaptic plasticity in visual cortex neurons, coupled with significant deficits in visual discrimination learning. Deficits in A1R-knockouts were seen specifically during re-learning, becoming progressively more apparent with learning on sequential visual discrimination tasks of increasing complexity. These behavioral results confirm our model predictions, and provide the first experimental evidence for a proposed role of heterosynaptic plasticity in learning.HighlightsSynaptic plasticity is impaired in visual cortex neurons in adenosine A1R knockout miceHomosynaptic and heterosynaptic plasticity in A1R KO mice is dominated by depressionLearning on sequential, increasingly complex visual tasks is impaired in A1R KO miceLearning deficits match predicted effects of impaired heterosynaptic plasticity

Moving from monolithic scaling to the second (2D) and to the third dimension (3D) is becoming increasingly important within industry. In the last years heterogeneous and chiplet integration, utilizing advanced packaging technologies, has increased in complexity as well as in variability. Higher performance, wider bandwidth and lower power consumption and space requirements drive the approach toward 3D integration, whereas the need of finer RDL line/spacing as well as smaller μ-bumps and μ-pillars critical dimension tighten integration design rules at the package and substrate level. Individual chiplet's I/O bumps and interconnects pitch scaling nowadays moves towards 2/2μm L/S. Although the flexible re-integration of larger dies from smaller chiplets, from various technology nodes to partitioned dies has shown numerous advantages over monolithic SoC technologies with larger freedom of design, this approach shifts the complexity into the integration and with it into the lithographic patterning processes. In this work a profound evaluation of common advanced packaging high resolution, thin and thick resists for RDL & μ-bump/μ-pillar manufacturing is presented, utilizing maskless exposure to demonstrate its patterning performance. Resolution tests, focal position & exposure matrices, including resist sidewall profiles are discussed in view of the 2/2μm L/S requirements for heterogeneous integration. Furthermore, the high-speed digital processing meets the needs for design flexibility and scalability for a wide range of packaging technologies by enabling both, die- and wafer-level designs, fast tape-out changes together with sub-μm adaptability.

Language development builds upon a complex network of interacting subservient systems. It therefore follows that variations in, and subclinical disruptions of, these systems may have secondary effects on emergent language. In this paper, we consider the relationship between genetic variants, hearing, auditory processing and language development. We employ whole genome sequencing in a discovery family to target association and gene x environment interaction analyses in two large population cohorts; the Avon Longitudinal Study of Parents and Children (ALSPAC) and UK10K. These investigations indicate that USH2A variants are associated with altered low-frequency sound perception which, in turn, increases the risk of developmental language disorder. We further show that Ush2a heterozygote mice have low-level hearing impairments, persistent higher-order acoustic processing deficits and altered vocalizations. These findings provide new insights into the complexity of genetic mechanisms serving language development and disorders and the relationships between developmental auditory and neural systems., Peter Perrino et al. identify variants in USH2A linked to a dominant language disorder in a human family and find that these variants are also associated with low-frequency hearing at the population level. They investigate the function of USH2A variants in mice, showing that mutations in this gene are responsible for hearing loss.

Catechol-o-methyltransferase (COMT) is an enzyme that metabolizes catecholamines, and is crucial for clearance of dopamine (DA) in prefrontal cortex. Val(158)Met polymorphism, which causes a valine (Val) to methionine (Met) substitution at codon 158, is reported to be associated with human psychopathologies in some studies. The Val/Val variant of the enzyme results in higher dopamine metabolism, which results in reduced dopamine transmission. Thus, it is important to investigate the relation between Val(158)Met polymorphisms using rodent models of psychiatric symptoms, including negative symptoms such as motivational dysfunction. In the present study, humanized COMT transgenic mice with two genotype groups (Val and Met homozygotes) and wild-type (WT) mice from the S129 background were tested using a touchscreen effort-based choice paradigm. Mice were trained to choose between delivery of a preferred liquid diet that reinforced panel pressing on various fixed ratio (FR) schedules (high-effort alternative), vs. intake of pellets concurrently available in the chamber (low-effort alternative). Panel pressing requirements were controlled by varying the FR levels (FR1, 2, 4, 8, 16) in ascending and descending sequences across weeks of testing. All mice were able to acquire the initial touchscreen operant training, and there was an inverse relationship between the number of reinforcers delivered by panel pressing and pellet intake across different FR levels. There was a significant group x FR level interaction in the ascending limb, with panel presses in the Val group being significantly lower than the WT group in FR1–8, and lower than Met in FR4. These findings indicate that the humanized Val allele in mice modulates FR/pellet-choice performance, as marked by lower levels of panel pressing in the Val group when the ratio requirement was moderately high. These studies may contribute to the understanding of the role of COMT polymorphisms in negative symptoms such as motivational dysfunctions in schizophrenic patients.

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by a core set of atypical behaviors in social-communicative and repetitive-motor domains. Individual profiles are widely heterogeneous and include language skills ranging from nonverbal to hyperlexic. The causal mechanisms underlying ASD remain poorly understood but appear to include a complex combination of polygenic and environmental risk factors. SHANK3 (SH3 and multiple ankyrin repeat domains 3) is one of a subset of well-replicated ASD-risk genes (i.e., genes demonstrating ASD associations in multiple studies), with haploinsufficiency of SHANK3 following deletion or de novo mutation seen in about 1% of non-syndromic ASD. SHANK3 is a synaptic scaffolding protein enriched in the postsynaptic density of excitatory synapses. In order to more closely evaluate the contribution of SHANK3 to neurodevelopmental expression of ASD, a knockout mouse model with a mutation in the PDZ domain was developed. Initial research showed compulsive/repetitive behaviors and impaired social interactions in these mice, replicating two core ASD features. The current study was designed to further examine Shank3B heterozygous and homozygous knockout mice for behaviors that might map onto atypical language in ASD (e.g., auditory processing, and learning/memory). We report findings of repetitive and atypical aggressive social behaviors (replicating prior reports), novel evidence that Shank3B KO mice have atypical auditory processing (low-level enhancements that might have a direct relationship with heightened pitch discrimination seen in ASD), as well as robust learning impairments.

This article introduces subject of an insurance captive entity, with focus on how it could be used as insurance formula for risk management. Captive might be the most appropriate insurance formula for risk management. However, the level of achieved success depends on many factors.Insurance captive sare understood as entities which are formed and owned by companies mostly for the purpose of insuring own risks (pure captive or single parent captive). More and more often captives are also formed by a group of companies (group captives) to insure their properties and liabilities towards 3rd parties. Captives are widely used by many companies nowadays. However, many of them, are used solely for a purpose of a risk cession and premium transfer, with an intention to use captives more as a profit center in a low taxation country rather than for the purpose of risk management (i.e. a more appropriate role for captive would be to support their owners in enterprise risk management – ERM). This article touches on why captives are not used to their full potential. It may be too challenging for many decision makers to embrace on captives as risk management formula and extend captives' roles to utilize all possible advantages resulting from owning a captive. Captive can deliver risk management in a more comprehensive way than most commercial insurers on the market. The article also presents advantages and disadvantages of owning an insurance captive.

Rationale Effort-based decision-making tasks offer animals choices between preferred reinforcers that require high effort to obtain vs. low effort/low reward options. The neural mechanisms of effort-based choice are widely studied in rats, and evidence indicates that mesolimbic dopamine (DA) and related neural systems play a key role. Fewer studies of effort-based choice have been performed in mice. Objectives The present studies used touchscreen operant procedures (Bussey-Saksida boxes) to assess effort-based choice in mice. Methods CD1 mice were assessed on a concurrent fixed ratio 1 panel pressing/choice procedure. Mice were allowed to choose between rearing to press an elevated panel on the touchscreen for a preferred food (strawberry milkshake) vs. consuming a concurrently available less preferred alternative (high carbohydrate pellets). Results The DA D2 antagonist haloperidol (0.05–0.15 mg/kg IP) produced a dose-related decrease in panel pressing. Intake of food pellets was not reduced by haloperidol, and in fact, there was a significant quadratic trend, indicating a tendency for pellet intake to increase at low/moderate doses. In contrast, reinforcer devaluation by removing food restriction substantially decreased both panel pressing and pellet intake. In free-feeding choice tests, mice strongly preferred milkshake vs. pellets. Haloperidol did not affect food intake or preference. Conclusion Haloperidol reduced the tendency to work for food, but this reduction was not due to decreases in primary food motivation or preference. Mouse touchscreen procedures demonstrate effects of haloperidol that are similar but not identical to those shown in rats. These rodent studies may be relevant for understanding motivational dysfunctions in humans.

CMOS image sensors technology is nowadays widely used in various applications due to multiple advantages, such as low cost, low power consumption, on chip functionality, high-speed of operation [1]. The market for CMOS image sensor (CIS) technology is continuously growing, as this technology is key technology in the most of the main electronic megatrends, such as smart automotive, portable & mobile electronics, novel human machine interfaces for AR/ VR devices, 3D sensing or $\mu$ -displays and advanced healthcare requirements. In order to follow and continue CIS scaling for thinner and smaller devices, an adoption of new processes and materials is required. Mainly improving optical performance as well as imagining characteristics of image sensors, such as higher image resolution, better contrast and desired optical density of the colored resist materials are key aspects of today's development.

Endometriosis is a common complex inflammatory condition characterised by the presence of endometrium-like tissue outside the uterus, mainly in the pelvic area. It is associated with chronic pelvic pain and infertility, and its pathogenesis remains poorly understood. The disease is typically classified according to the revised American Fertility Society (rAFS) 4-stage surgical assessment system, although stage does not correlate well with symptomatology or prognosis. Previously identified genetic variants mainly are associated with stage III/IV disease, highlighting the need for further phenotype-stratified analysis that requires larger datasets. We conducted a meta-analysis of 15 genome-wide association studies (GWAS) and a replication analysis, including 58,115 cases and 733,480 controls in total, and sub-phenotype analyses of stage I/II, stage III/IV and infertility-associated endometriosis cases. This revealed 27 genetic loci associated with endometriosis at the genome-wide p-value threshold (P−8), 13 of which are novel and an additional 8 novel genes identified from gene-based association analyses. Of the 27 loci, 21 (78%) had greater effect sizes in stage III/IV disease compared to stage I/II, 1 (4%) had greater effect size in stage I/II compared to stage III/IV and 17 (63%) had greater effect sizes when restricted to infertility-associated endometriosis cases compared to overall endometriosis. These results suggest that specific variants may confer risk for different sub-types of endometriosis through distinct pathways. Analyses of genetic variants underlying different pain symptoms reported in the UK Biobank showed that 7/9 had positive significant (p3) positive genetic correlations with endometriosis, suggesting a genetic basis for sensitivity to pain in general. Additional conditions with significant positive genetic correlations with endometriosis included uterine fibroids, excessive and irregular menstrual bleeding, osteoarthritis, diabetes as well as menstrual cycle length and age at menarche. These results provide a basis for fine-mapping of the causal variants at these 27 loci, and for functional follow-up to understand their contribution to endometriosis and its potential subtypes.