Degree Of Overlap Research Articles

Novel sampling strategy for regular nucleic acid testing in low risk areas during epidemics.

Large-scale regular nucleic acid testing (NAT) such as Regular-1/7, played a crucial role in the successful and sustained containment of COVID-19 in China, enabling rapid case detection in low-risk areas. However, Regular-1/7 strategies are extremely costly and time-consuming. To address these challenges and facilitate the broader implementation of large-scale NAT during outbreaks of highly contagious diseases with long incubation periods, we propose a novel sampling strategy called Weighted Hub and Time Sampling (WHTS). This strategy considers the intensity of social activity, the degree of social overlap, and the time interval since the last NAT for each individual. Based on a scale-free contact network model, we simulated the spread of scenario in a community and compared the performance of the WHTS strategy to the Regular-1/7 strategy in terms of cost reduction and shorter alert time. The results show that WHTS-1/14 strategy can save half of the cost, and WHTS-1/7 strategy can alert 1.0 days in advance, compared to Regular-1/7 strategy. Additionally, The WHTS-1/14 strategy also achieves promising results under various scenarios, even though it samples half as many people as the Regular-1/7 strategy. Our study offers a valuable reference for large-scale testing in future efforts to manage emerging infectious diseases.

Chorus Organization in a Neotropical Forest Cicada

In many species of animals, males aggregate in particular locations and produce calls to attract searching females for reproduction. One striking feature of such choruses is synchronization. On a scale of hours, choruses are often concentrated at particular times of day, such as dawn or dusk. On a scale of seconds, males may also synchronize the rhythm of their calls with one another. While synchronized calling at this scale suggests benefits acting at the collective level, competitive interactions between males to attract females can also lead to synchronized calling as an epiphenomenon. Why males in some species synchronize the rhythm of their calls is still debated, and more work is needed to understand the evolution of this behavior. I investigated chorus organization in the Emerald cicada (Zammara smaragdula), a Neotropical forest cicada in southern Belize, to explore these issues. Choruses in this species occurred at dawn and dusk and, occasionally, during daytime. There was no evidence for synchronization in the rhythm of calls among males, as bouts of collective calling occurred after quiet intervals of variable rather than fixed durations. The temporal aggregation of calls in this species thus probably emerged from competitive interactions among males to attract females. The degree of temporal overlap in the calls of males during a chorus varied as a function of chorus phase and time of day, suggesting flexibility in chorus organization, perhaps in relation to temporal variations in factors such as the number of calling cicadas, the number of predators present or ambient temperature during a chorus.

Multitasking practice eliminates modality-based interference by separating task representations in sensory brain regions.

The debate on the neural basis of multitasking costs evolves around neural overlap between concurrently performed tasks. Recent evidence suggests that training-related reductions in representational overlap in fronto-parietal brain regions predict multitasking improvements. Cognitive theories assume that overlap of task representations may lead to unintended information exchange between tasks (i.e., crosstalk). Modality-based crosstalk was suggested as a source for multitasking costs in multisensory settings. Robust findings of increased costs for certain modality mappings may be explained by crosstalk between the stimulus modality in one task and sensory action consequences in the concurrently performed task. Whether modality-based crosstalk emerges from representational overlap in general fronto-parietal multitasking regions or modality-specific regions is not known yet. In this functional neuroimaging study, we investigate neural overlap during multitasking performance in humans, focusing on modality compatibility by employing multivariate pattern analysis and modality-specific practice interventions in three groups (total N = 54, 24 females). We observed significant differences between modality compatible and modality incompatible single-task representations, specifically in the auditory cortex but not in fronto-parietal regions. Notably, improved auditory decoding accuracy related to modality incompatible tasks was predictive of performance gains in the corresponding dual task along with complete elimination of modality-specific dual-task costs. This predictive relationship was evident only in the group practicing modality incompatible mappings, suggesting that specific practice on task sets with modality overlap influenced both neural representations and subsequent multitasking performance. This study contributes to the integration of cognitive theory and neuroscience and the role of task representations in dual-task interference.Significance Statement In a society dominated by multitasking, understanding its neurocognitive basis and plasticity is crucial for key aspects of everyday tasks. We investigate the neural mechanisms behind multitasking limitations, offering insights for targeted cognitive interventions. The study builds upon established theories of cognitive multitasking and imaging research, addressing the concept of modality-based crosstalk - the unintended exchange of modality-based information between tasks. Through functional brain imaging and pattern analysis, we examined how neural task representations contribute to performance costs in dual tasks with varying degrees of modality overlap. Notably, our findings demonstrate a practice-related decrease in neural overlap which is associated with substantial multitasking improvements, specifically in the auditory cortex, emphasizing the contribution of sensory regions to flexible multidimensional task representations.

Community-level trophic characteristics and interactions between native and non-native fish: The example of the Lower Pearl River Basin of China

Aquatic ecosystems can harbour more than one non-native fish species and this can represent a threat due to trophic interactions with native fishes. However, research on interactions amongst multiple co-occurring native and non-native fish remains scarce. In this study, 551 organisms from 44 native fish, 11 non-native fish, 35 macroinvertebrates (of which one was non-native), together with 162 samples of basal resources were collected from six rivers of the Lower Pearl River Basin of China. Nitrogen and carbon stable isotope analysis was used to calculate community-wide trophic metrics and the degree of trophic overlap between native and non-native fish at both the community and functional feeding group level, together with diet composition. At the community level, there was a high degree of trophic niche overlap between native and non-native fish as a result of similarities in trophic characteristics. At the functional feeding group level, both native and non-native functional feeding groups demonstrated the capacity to occupy the niche space of each other. A significant trophic niche overlap, exceeding 50%, was found between non-native detritivorous and omnivorous fish, suggesting competition. The difference in diet composition between some native and non-native fish depended on the category of diet source across the rivers, suggesting dietary segregation. Albeit limited, the present findings suggest that trophic interaction between native and non-native fish is likely to reach a dynamic equilibrium status in the community owing to trophic segregation of fish species and the antagonistic effects amongst non-native fish.

E-Health Interventions for Managing Spine Pain—Benefits for Pain, Quality of Life, Catastrophizing and Fear Avoidance Beliefs: An Overview of Systematic Reviews With Meta-Analysis

OBJECTIVE: To summarize the effectiveness of eHealth interventions for improving pain, physical disability, psychological factors, and the quality of life for people with spine pain. DESIGN: Overview of systematic reviews. LITERATURE SEARCH: CINAHL, Embase, PubMed, and SPORTDiscus e-databases were searched. STUDY SELECTION CRITERIA: Systematic reviews with meta-analysis of randomized clinical trials evaluating any type of eHealth were included. DATA SYNTHESIS: AMSTAR 2 was used to assess the methodological quality of included reviews. The degree of overlap between reviews was calculated. RESULTS: Sixteen systematic reviews were included. Of them, thirteen reviews were exclusively focused on back pain or low back pain. Exercise and psychological interventions were the primary contents of eHealth interventions. In general, eHealth interventions based on physical exercise may improve the quality of life of people with low back pain. eHealth interventions based on cognitive behavioral therapy may reduce pain catastrophizing and fear-avoidance beliefs for physical activity for people with low back pain. eHealth interventions based on multidisciplinary approaches including physical exercise may reduce low back pain. Few systematic reviews used the GRADE system to evaluate the certainty of evidence, and few specified the content of eHealth interventions. CONCLUSION: eHealth interventions may improve the quality of life, pain catastrophizing, fear-avoidance beliefs, for people with low back pain. It is unclear, based on available systematic reviews, how clinicians should deliver eHealth interventions for people with spine pain (e.g., neck pain or low back pain).

“There is more that unites us than divides us”. Optimizing talent transfer processes by clustering 34 sports by their task, individual and environmental similarities

Sports are characterized by unique rules, environments, and tasks, but also share fundamental similarities with each other sport. Such between-sports parallels can be vital for optimizing talent transfer processes. This study aimed to explore similarities between sports to provide an objective basis for clustering sports into families by means of machine learning. An online survey was conducted, garnering responses from 1,247 coaches across 36 countries and 34 sports. The survey gauged the importance (0 = not important 10 = important) of 18 characteristics related to the sport and the athlete performing in that sport. These traits formed the basis for the categorization of a sport by means of machine learning, particularly unsupervised clustering, and the LIME feature explainer. Analysis grouped 34 sports into five clusters based on shared features. A similarity matrix illustrated the degree of overlap among sports. The application of unsupervised clustering emphasized the lack of a single overarching attribute across sports, marking a shift away from traditional clustering approaches that rely on a limited set of characteristics for talent transfer. The results highlight the importance of identifying common sports for talent transfer, which could prove advantageous in guiding athletes towards new sporting directions.

Influence mechanism of divalent metals in the laminates of M2+Al-layered double hydroxides on peroxymonosulfate activation reaction pathway: Radical vs nonradical

Radical and nonradical reaction pathways have been commonly validated in peroxymonosulfate (PMS) based advanced oxidation progresses (AOPs) using layered double hydroxides (LDHs) as catalysts, but achieving efficient and selective degradation of organic pollutants remains challenging due to the unclear regulatory mechanism of laminate M2+ in PMS activation. Here, the d-orbital electrons configuration of M2+ was found to influence the degree of overlap between M−OH and O of PMS, which results in the selective dissociation of PMS to form reactive oxygen species (ROS) or achieve electron transfer pathway. Further analysis revealed that Co(II, 3d7) and Ni(II, 3d8) with filled 3d orbital electrons can serve as electron donors for PMS, leading to the cleavage of O–O bond and the efficient generation of radical-based ROS. In contrast, Mg(II, 3d0) with unfilled 3d orbital electrons and Zn(II, 3d10) with full filled 3d orbital electrons tend to act as electron shuttles, and the outermost orbitals substantially overlap with the O of PMS to form metastable complexes. Consequently, MgAl-LDH interacts with PMS to selectively degrade quinolones as electron donor through electron transfer pathway, and its performance was not inhibited by common anions and organic matter in actual water. The above results provide a basis for optimizing the design of LDH-based catalysts according to the type of laminate M2+ to achieve high selectivity and efficiency of PMS-AOPs in water purification applications.

Local fuzzy rough attribute reduction for large-scale mixed data with limited missing labels based on local fuzzy self information

The advent of the era of big data is accompanied by the generation of large-scale data of various types. Extracting the potential value and rules from such data has always been a challenge. Due to various external and internal factors, it is commonplace for large-scale data to exhibit the phenomenon of missing limited labels. In addressing a large-scale mixed information system with limited label missing (LSMDISLML), local neighborhood rough set model (LNRS-model) is typically employed. However, the identical neighborhood radius is often used by such model when confronted with numerical attributes, which could potentially attenuate the classification capability of the data. Local fuzzy rough set model (LFRS-model) can overcomes this point. This paper studies local fuzzy rough attribute reduction for large-scale mixed data with limited missing labels based on LFRS-model via local fuzzy self information and overlap degree function. First, leveraging the statistical distribution of data as a foundation, fuzzy relations on the entire sample set are established, which has the advantage of being able to use different fuzzy similarity radii to calculate similarity, thereby adapting to different data distributions. Subsequently, the samples with missing labels are discarded as they constitute a small proportion of the entire sample set and have little impact on overall performance of dataset. The limited computing resources and storage space are focused on the sample set with complete labels (denoted as target set). Thereafter, based on the target set, local fuzzy λ-upper and lower approximations are defined, and LFRS-model is constructed. This model not only reduces processing time and sources of error in large-scale data but also improves data quality and enhances the reliability of the experimental results. Then, local fuzzy λ-self information is introduced and used to design a local fuzzy rough attribute reduction algorithm in a LSMDISLML. Furthermore, a overlap degree function is introduced to evaluate and reorder the attributes based on their importance, prioritizing the elimination of redundant attributes with high overlap and low importance from the preordered attribute set. This strategy effectively improves the efficiency of obtaining the optimal subset. Finally, a series of experiments are carried out. The experiment results demonstrate that the designed algorithm exhibits excellent performance in classification tasks and outlier detection tasks, surpassing existing four algorithms.

Synchronized Multi-Laser Powder Bed Fusion (M-LPBF) Additive Manufacturing: A Technique for Controlling the Microstructure of Ti–6Al–4V

One of the technological hurdles in the widespread application of additive manufacturing is the formation of undesired microstructure and defects, e.g., the formation of columnar grains in Ti-6Al-4V—the columnar microstructure results in anisotropic mechanical properties, a reduction in ductility, and a decrease in the endurance limit. Here, we present the potential implementation of a hexagonal array of synchronized lasers to alter the microstructure of Ti–6Al–4V toward the formation of preferable equiaxed grains. An anisotropic heat transfer model is employed to obtain the temporal/spatial temperature distributions and construct the solidification map for various process parameters, i.e., laser power, scanning speed, and the internal distance among lasers in the array. Approximately 55% of the volume fraction of equiaxed grains is obtained using a laser power of P = 500 W and a scanning speed of v = 100 mm/s. The volume fraction of the equiaxed grains decreases with increasing scanning velocity; it drops to 38% for v = 1000 mm/s. This reduction is attributed to the decrease in absorbed heat and thermal crosstalk among lasers, i.e., the absorbed heat is higher at low scanning speeds, promoting thermal crosstalk between melt pools and subsequently forming a large volume fraction of equiaxed grains. Additionally, a degree of overlap between lasers in the array is required for high scanning speeds (v = 1000 mm/s) to form a coherent melt pool, although this is unnecessary for low scanning speeds (v = 100 mm/s).

Phonology facilitates deeply opaque logographic writing.

Phonological knowledge plays a pivotal role in many aspects of language processing, but it remains controversial whether it is required for writing. In the present study, we examined the issue by focusing on written production in an opaque logographic script (kanji) with highly irregular pronunciation rules, which allowed for a rigorous test of whether or not phonology contributes to writing. Using a phonological priming paradigm in two experiments, we measured response latency while participants orally named target pictures or wrote down their names in kanji. Each target was preceded by a phonographic character (kana) which represented the same sound (mora) as the beginning of the target name or a different mora. By manipulating the degree of phonological overlap between primes and target names (i.e., morae, consonants and vowels), we found that only the moraic overlap could speed up word production in logographic writing (Experiment 1). In contrast, naming response was facilitated by mora-overlap as well as vowel-overlap. This between-task difference in phonological encoding suggests that phonological codes for spoken production do not necessarily precede orthographic access during logographic writing. In Experiment 2, we further found that the facilitatory effects of moraic information did not differ in magnitude between writing and naming when primes were masked and presented more briefly, suggesting a net component of bottom-up phonological activation which contributes to logographic writing. Collectively, we propose that orthographic codes of kanji are accessed directly from semantics, whereas phonology plays a non-specific modulatory role to enhance neurocognitive systems involved in writing.

Genetic overlap between inflammatory bowel disease and iridocyclitis: insights from a genome-wide association study in a European population.

Inflammatory bowel disease (IBD) is occasionally associated with ophthalmic diseases, including iridocyclitis (IC). The co-occurrence of IBD and IC has been increasingly observed, possibly due to shared genetic structures. A three-part analysis was executed utilizing genome-wide association study (GWAS) data on IBD and IC. First, the overall genetic correlation between the two traits was observed using linkage disequilibrium score regression (LDSC). Subsequent to this, a local genetic correlation analysis was conducted utilizing the heritability estimation from summary statistics (HESS) methodology. Finally, the conditional/conjunctional false discovery rate (cond/conjFDR) statistical framework was utilized to ascertain the degree of genetic overlap between the two traits. Positive overall correlations were observed among IBD, ulcerative colitis (UC), and IC, encompassing both acute/subacute and chronic IC presentations. While a significant correlation was identified between Crohn's disease (CD) and IC, it was not evident for acute/subacute or chronic IC (P > 0.05). Notably, IBD (encompassing CD and UC) demonstrated local genetic correlations with IC and acute/subacute IC, with pronounced enrichment notably on chromosomes 1 and 6, though such correlations were not observed with chronic IC. The conjFDR analysis confirmed the genetic overlap between the two diseases. The shared genes overlapping between IBD (encompassing CD and UC) and IC were IL23R, GPR35, and ERAP1. For acute/subacute IC and chronic IC, there were six overlapping genes (GPR35, RPL23AP12, IL23R, SNAPC4, ERAP1, and INAVA) and one overlapping gene (INAVA), respectively. This study confirms the existence of a shared genetic structure between IBD and IC, providing a biological basis for their comorbidity. Additionally, this finding has significant implications for preventing and treating these two diseases.

Estimated transmitral E- and A-wave overlapping predicted prognosis in patient with heart failure with preserved ejection

Abstract Background The impact of heart rate (HR) variability on clinical outcomes in patients with heart failure with preserved ejection fraction (HFpEF) is not fully understood. Variations in HR may affect transmitral blood flow and consequently left ventricular filling and left atrial pressure. Changes in HR can cause the transmitral E-wave and A-wave to merge at higher HRs, while their interval lengthens at slower HRs (Figure: left). A recent study (Izumida. ESC Heart Fail. 2020;7:3231) demonstrated that the degree of overlap or interval between E- and A-waves can be estimated using resting HR and the deceleration time of the E-wave (DcT) on Doppler echocardiography. Purpose This study aims to investigate the relationship between the estimated overlap length between E- and A-waves and prognosis in patients with HFpEF. Methods Echocardiography was performed before hospital discharge in 398 patients (80±9 years, 59.0% female) hospitalized for decompensated HFpEF who were registered in the PURSUIT-HFpEF (Prospective, Multicenter, Observational Study of Patients with Heart Failure with Preserved Ejection Fraction) registry. The overlap length between E- and A waves was estimated using the formula [6.2 × HR (bpm) + 0.81 × DcT (ms) -589 (ms)] as previously described (a negative value means distance between two waves). Patients were divided into four groups based on quartiles of overlap length (Q1 to Q4, with Q4 representing the highest overlap length) and followed for a median duration of 759 days (interquartile range: 370, 1107 days) to observe all-cause mortality. Results The estimated overlap length in the study patients was -167±85 ms, and 105 deaths occurred during follow-up. The overlap length was selected as an independent predictor for all-cause mortality by Cox proportional hazards regression analysis (p=0.04), whereas HR or DcT was not. Kaplan-Meier curves indicated the difference in all-cause mortality among 4 groups (Figure: Right, p=0.02 by log-rank test), and the Q4 group (335 to -123ms) showed significantly higher mortality than the Q2 (-124 to -173 ms, p=0.03). Conclusion The overlap length of E and A predicted mortality in HFpEF patients, and the presence of overlap or shorter interval were associated with higher mortality. Optimal HR based on overlap length may be a new target for HFpEF therapy.Figure 1

Social inequalities in cancer incidence, survival and mortality: An umbrella review

Abstract Background An increasing number of systematic reviews investigating differences in cancer burden by social factors such as race, ethnicity, and socioeconomic status have been published in recent years. Our study aims to evaluate the strength and quality of evidence from systematic reviews investigating associations between social factors and cancer incidence, survival, and mortality to help policy-makers reduce existing social inequalities in the burden of cancer. Methods Our study is a pre-registered umbrella review (PROSPERO; CRD42024552884). We systematically searched Medline, Scopus, Web of Science, CINAHL, PsycINFO, the Cochrane Library, the JBI EBP database, and Epistemonikos without date restrictions for published systematic reviews with or without meta-analyses on June 17, 2024. The search identified 15,542 records, which were reduced to 7,421 after deduplication. We are currently screening studies to include systematic reviews of cohort or case-control studies that examined associations between one or more social factors (gender, race/ethnicity, education, occupation, socioeconomic status, place of residence, religion, social capital) and cancer outcomes. Study screening, data extraction, and quality appraisal will be done in duplicate using pre-piloted forms. The strength of evidence of reported associations between social factors and cancer outcomes will be assessed using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) criteria. Before data synthesis, we will assess the degree of overlap between primary studies in the eligible reviews by creating citation matrices and calculating corrected covered area indices. Following this, we will narratively summarize associations (for systematic reviews without meta-analyses) and pool the risk estimates for individual social factors and cancer outcomes (for reviews with meta-analyses) using random-effects meta-analysis models. We will have preliminary results ready by November 2024. Key messages • Our umbrella review aims to evaluate the strength and quality of evidence from systematic reviews which have examined social inequalities in cancer incidence, survival, and mortality. • This high-level evidence synthesis can help policy-makers better plan and target interventions to reduce the existing social inequalities in the burden of cancer.

Glial 'omics in ischemia: Acute stroke and chronic cerebral small vessel disease.

Vascular injury and pathologies underlie common diseases including ischemic stroke and cerebral small vessel disease (CSVD). Prior work has identified a key role for glial cells, including microglia, in the multifaceted and temporally evolving neuroimmune response to both stroke and CSVD. Transcriptional profiling has led to important advances including identification of distinct gene expression signatures in ischemia-exposed, flow cytometrically sorted microglia and more recently single cell RNA sequencing-identified microglial subpopulations or clusters. There is a reassuring degree of overlap in the results from these two distinct methodologies with both identifying a proliferative and a separate type I interferon responsive microglial element. Similar patterns were later seen using multimodal and spatial transcriptomal profiling in ischemia-exposed microglia and astrocytes. Methodological advances including enrichment of specific neuroanatomic/functional regions (such as the neurovascular unit) prior to single cell RNA sequencing has led to identification of novel cellular subtypes and generation of new credible hypotheses as to cellular function based on the enhanced cell sub-type specific gene expression patterns. A ribosomal tagging strategy focusing on the cellular translatome analyses carried out in the acute phases post stroke has revealed distinct inflammation-regulating roles for microglia and astrocytes in this setting. Early spatial transcriptomics experiments using cerebral ischemia models have identified regionally distinct microglial cell clusters in ischemic core versus penumbra. There is great potential for combination of these methods for multi-omics approaches to further elucidate glial responses in the context of both acute ischemic stroke and chronic CSVD.

Using Overlap Weights to Address Extreme Propensity Scores in Estimating Restricted Mean Counterfactual Survival Times.

While inverse probability of treatment weighting (IPTW) is a commonly used approach for treatment comparisons in observational data, the resulting estimates may be subject to bias and excessively large variance under lack of overlap. By smoothly down-weighting units with extreme propensity scores, i.e., those that are close (or equal) to zero or one, overlap weighting (OW) can help mitigate the bias and variance issues associated with IPTW. Although theoretical and simulation results have supported the use of OW with continuous and binary outcomes, its performance with survival outcomes remains to be further investigated, especially when the target estimand is defined based on the restricted mean survival time (RMST). We combine propensity score weighting and inverse probability of censoring weighting to estimate the restricted mean counterfactual survival times, and provide computationally-efficient variance estimators when the propensity scores are estimated by logistic regression and the censoring process is estimated by Cox regression. We conduct simulations to compare the performance of weighting methods in terms of bias, variance, and 95% interval coverage, under various degrees of overlap. Under moderate and weak overlap, we demonstrate the advantage of OW over IPTW, trimming and truncation, with respect to bias, variance, and coverage when estimating RMST.

The prevalence and risk of anxiety and depression in polycystic ovary syndrome: an overview of systematic reviews with meta-analysis.

To summarize the pooled prevalence rates of anxiety and depression in women with polycystic ovary syndrome. An overview of systematic reviews with meta-analysis was conducted. The CINAHL, Embase, PsycINFO, and PubMed databases were searched up to April 22, 2024. The methodological quality of systematic reviews was assessed using AMSTAR 2. The degree of overlap between reviews was analyzed by calculating the corrected covered area. Ten systematic reviews were selected. Regarding anxiety disorders, the pooled prevalence of panic disorder, social phobia, and anxiety disorders without specifying the type of disorder were 4%, 5%, and 16.9%, respectively. This prevalence was higher in depressive disorders, reaching 34.8%. Anxiety symptoms were very prevalent in women with PCOS, although the prevalence varied depending on the self-reported questionnaire used: the Hamilton Anxiety Scale 69.4%, the Hospital Anxiety and Depression Scale 41.5%, and the Self-rating Anxiety Scale 32.4%. Additionally, the highest prevalence of depression symptoms was associated with the Beck Depression Inventory 46.0%, followed by the Self-rating Depression Scale 39.2%, and the Hospital Anxiety and Depression Scale, which ranged from 31% to 33.8%. Meta-analyses found mainly anxiety and depression symptoms and disorders are prevalent in women with PCOS. Meta-analyses also showed women with PCOS had a higher risk of having anxiety disorders, and depression symptoms than women without PCOS. • Anxiety symptoms were prevalent, although the prevalence varied depending on the self-reported questionnaire. • The highest prevalence of depression symptoms was associated with the Beck Depression Inventory (46.0%). • The pooled prevalence of anxiety disorders without specifying the type of disorder was 16.9%.

MYH7-related myopathies: clinical, myopathological and genotypic spectrum in a multicentre French cohort

BackgroundMyosin heavy chain 7 (MYH7)-related myopathies (MYH7-RMs) are a group of muscle disorders linked to pathogenic variants in the MYH7 gene, encoding the slow/beta-cardiac myosin heavy chain, which is highly...

Nuclear parcellation of pontine catecholaminergic and cholinergic neurons in gray parrots and pied crow brains.

Employing immunohistochemical procedures with antibodies raised against tyrosine hydroxylase (TH) and choline acetyltransferase we identified and mapped the locus coeruleus complex (LoC) and the pontine laterodorsal tegmental (LDT) and pedunculopontine tegmental (PPN) cholinergic nuclei in the brains of a Congo gray parrot, a timneh gray parrot, and a pied crow. The LoC and LDT/PPN are centrally involved in the regulation and generation of different sleep states, and as all birds studied to date show both REM and non-REM sleep states, like mammals, we investigated whether these noradrenergic and cholinergic nuclei in the avian pons shared anatomical features with those in the mammalian pons. The LoC was parcellated into 3 distinct nuclei, including the locus coeruleus (A6), subcoeruleus (A7), and the fifth arcuate nucleus (A5), while distinct LDT and PPN nuclei were revealed. Several similarities that allow the assumption of homology of these nuclei between birds and mammals were revealed, including their location relative to each other and other structures within the pontine region, as well as a specific degree of topographical overlap of the noradrenergic and cholinergic neurons. Despite this, some differences were noted that may be of interest in understanding the differences in sleep between birds and mammals. Further anatomical and physiological studies are needed to determine whether these pontine nuclei in birds play the same role as in mammals, as while the homology is apparent, the functional analogy needs to be revealed.

Adsorption of Polycyclic Aromatics on Crystal Surface of Coordination Cages: Photophysical Properties and Förster Resonance Energy Transfer.

Self-assembly reactions of PdX2 (X- = NO3-, BF4-, ClO4-, ReO4-, PF6-, and CF3SO3-) with 9,10-bis((isoquinolin-5-yloxy)methyl)anthracene (L) in Me2SO give rise to single crystals of coordination cages, [X@Pd2L4]X3, irrespective of X- anions, in high yields. The intracage Pd···Pd distance is significantly sensitive to the nestled X- anion, which can serve as a gauge for recognition of ubiquitous polyatomic anions. One interesting feature is that, via π-π interactions, various polycyclic aromatics (PAs) are characteristically adsorbed on the crystal surface of designed coordination cages with a wall of anthranyl moiety. This unprecedented ensemble system shows an efficient Förster resonance energy transfer (FRET) process from the anthracene (ANT) to pyrene (PYR) via a large degree of spectral overlap between the ANT emission and PYR absorption bands, in contrast to a simple mixture of ANT and PYR.

Neurocognitive dynamics of preparatory and adaptive cognitive control: Insights from mass-univariate and multivariate pattern analysis of EEG data.

Cognitive control refers to humans' ability to willingly align thoughts and actions with internally represented goals. Research indicates that cognitive control is not one-dimensional but rather integrates multiple sub-processes to cope with task demands successfully. In particular, the dynamic interplay between preparatory (i.e., prior to goal-relevant events) and adaptive (i.e., in response to unexpected demands) recruitment of neural resources is believed to facilitate successful behavioural performance. However, whether preparatory and adaptive processes draw from independent or shared neural resources, and how these align in the information processing stream, remains unclear. To address these issues, we recorded electroencephalographic data from 52 subjects while they performed a computerised task. Using a combination of mass-univariate and multivariate pattern analysis procedures, we found that different types of control triggered distinct sequences of brain activation patterns, and that the order and temporal extent of these patterns were dictated by the type of control used by the participants. Stimuli that fostered preparatory recruitment of control evoked a sequence of transient occipital-parietal, sustained central-parietal, and sustained fronto-central responses. In contrast, stimuli that indicated the need for quick behavioural adjustments triggered a sequence of transient occipital-parietal, fronto-central, and central parietal responses. There was also a considerable degree of overlap in the temporal evolution of these brain activation patterns, with behavioural performance being mainly related to the magnitude of the central-parietal and fronto-central responses. Our results demonstrate how different neurocognitive mechanisms, such as early attentional allocation and subsequent behavioural selection processes, are likely to contribute to cognitive control. Moreover, our findings extend prior work by showing that these mechanisms are engaged (at least partly) in parallel, rather than independently of each other.