Nevin Manimala

Psychol Sci. 2024 Sep 2:9567976241263344. doi: 10.1177/09567976241263344. Online ahead of print.

ABSTRACT

Statistical learning is a powerful mechanism that enables the rapid extraction of regularities from sensory inputs. Although numerous studies have established that statistical learning serves a wide range of cognitive functions, it remains unknown whether statistical learning impacts conscious access. To address this question, we applied multiple paradigms in a series of experiments (N = 153 adults): Two reaction-time-based breaking continuous flash suppression (b-CFS) experiments showed that probable objects break through suppression faster than improbable objects. A preregistered accuracy-based b-CFS experiment showed higher localization accuracy for suppressed probable (versus improbable) objects under identical presentation durations, thereby excluding the possibility of processing differences emerging after conscious access (e.g., criterion shifts). Consistent with these findings, a supplemental visual-masking experiment reaffirmed higher localization sensitivity to probable objects over improbable objects. Together, these findings demonstrate that statistical learning alters the competition for scarce conscious resources, thereby potentially contributing to established effects of statistical learning on higher-level cognitive processes that require consciousness.

PMID:39222160 | DOI:10.1177/09567976241263344

Support Care Cancer. 2024 Sep 2;32(9):624. doi: 10.1007/s00520-024-08832-5.

ABSTRACT

PURPOSE: The Palliative Care Outcomes Collaboration (PCOC) aims to enhance patient outcomes systematically. However, identifying crucial items and accurately determining PCOC phases remain challenging. This study aims to identify essential PCOC data items and construct a prediction model to accurately classify PCOC phases in terminal patients.

METHODS: A retrospective cohort study assessed PCOC data items across four PCOC phases: stable, unstable, deteriorating, and terminal. From July 2020 to March 2023, terminal patients were enrolled. A multinomial mixed-effect regression model was used for the analysis of multivariate PCOC repeated measurement data.

RESULTS: The dataset comprised 1933 terminally ill patients from 4 different hospice service settings. A total of 13,219 phases of care were analyzed. There were significant differences in the symptom assessment scale, palliative care problem severity score, Australia-modified Karnofsky performance status, and resource utilization groups-activities of daily living among the four PCOC phases of care. Clinical needs, including pain and other symptoms, declined from unstable to terminal phases, while psychological/spiritual and functional status for bed mobility, eating, and transfers increased. A robust prediction model achieved areas under the curves (AUCs) of 0.94, 0.94, 0.920, and 0.96 for stable, unstable, deteriorating, and terminal phases, respectively.

CONCLUSIONS: Critical PCOC items distinguishing between PCOC phases were identified, enabling the development of an accurate prediction model. This model enhances hospice care quality by facilitating timely interventions and adjustments based on patients’ PCOC phases.

PMID:39222130 | DOI:10.1007/s00520-024-08832-5

Rev Sci Tech. 2024 Aug;43:69-78. doi: 10.20506/rst.43.3519.

ABSTRACT

The Global Burden of Animal Diseases (GBADs) programme aims to assess the impact of animal health on agricultural animals, livestock production systems and associated communities worldwide. As part of the objectives of GBADs’Animal Health Ontology theme, the programme reviewed conceptual frameworks, ontologies and classification systems in biomedical science. The focus was on data requirements in animal health and the connections between animal health and human and environmental health. In May 2023, the team conducted searches of recognised repositories of biomedical ontologies, including BioPortal, Open Biological and Biomedical Ontology Foundry, and Ontology Lookup Service, to identify animal and livestock ontologies and those containing relevant concepts. Sixteen ontologies were found, covering topics such as surveillance, anatomy and genetics. Notable examples include the Animal Trait Ontology for Livestock, the Animal Health Surveillance Ontology, the National Center for Biotechnology Information Taxonomy and the Uberon Multi-Species Anatomy Ontology. However, some ontologies lacked class definitions for a significant portion of their classes. The review highlights the need for domain evidence to support proposed models, critical appraisal of external ontologies before reuse, and external expert reviews along with statistical tests of agreements. The findings from this review informed the structural framework, concepts and rationales of the animal health ontology for GBADs. This animal health ontology aims to increase the interoperability and transparency of GBADs data, thereby enabling estimates of the impacts of animal diseases on agriculture, livestock production systems and associated communities globally.

PMID:39222110 | DOI:10.20506/rst.43.3519

Rev Sci Tech. 2024 Aug;43:96-107. doi: 10.20506/rst.43.3522.

ABSTRACT

The estimation of the global burden of animal diseases requires the integration of multidisciplinary models: economic, statistical, mathematical and conceptual. The output of one model often serves as input for another; therefore, consistency of the model components is critical. The Global Burden of Animal Diseases (GBADs) Informatics team aims to strengthen the scientific foundations of modelling by creating tools that address challenges related to reproducibility, as well as model, data and metadata interoperability. Aligning with these aims, several tools are under development: a) GBADs’Trusted Animal Information Portal (TAIL) is a data acquisition platform that enhances the discoverability of data and literature and improves the user experience of acquiring data. TAIL leverages advanced semantic enrichment techniques (natural language processing and ontologies) and graph databases to provide users with a comprehensive repository of livestock data and literature resources. b) The interoperability of GBADs’models is being improved through the development of an R-based modelling package and standardisation of parameter formats. This initiative aims to foster reproducibility, facilitate data sharing and enable seamless collaboration among stakeholders. c) The GBADs Knowledge Engine is being built to foster an inclusive and dynamic user community by offering data in multiple formats and providing user-friendly mechanisms to garner feedback from the community. These initiatives are critical in addressing complex challenges in animal health and underscore the importance of combining scientific rigour with user-friendly interfaces to empower global efforts in safeguarding animal populations and public health.

PMID:39222107 | DOI:10.20506/rst.43.3522

Physiol Genomics. 2024 Sep 2. doi: 10.1152/physiolgenomics.00045.2024. Online ahead of print.

ABSTRACT

The severity of respiratory syncytial virus (RSV) may be linked to host genetic susceptibility. Surfactant protein (SP) genetic variants have been associated with RSV severity, but the impact of SNP-SNP (single nucleotide polymorphism) interactions remains unexplored. Therefore, we employed a novel statistical model to investigate the association of SNP-SNP interactions of SFTP genes with RSV severity in two and three-interaction models. We analyzed available genotype and clinical data from prospectively enrolled 405 children diagnosed with RSV, categorizing them into moderate or severe RSV groups. Using Wang’s statistical model, we studied significant associations of SNP-SNP interactions with RSV severity in a case-control design. We observed, 1) association of three interactions with increased risk of severe RSV in a two-SNP model. One intragenic interaction was between SNPs of SFTPA2, and the other two were intergenic, involving SNPs of hydrophilic and hydrophobic SPs alone. 2) association of 22 interactions with RSV severity in a three-SNP model. Among these, 20 were unique, with 12 and 10 interactions associated with increased or decreased risk of RSV severity, respectively, and included at least one SNP of either SFTPA1 or SFTPA2. All interactions were intergenic, except one among SNPs of SFTPA1. The remaining interactions were either among SNPs of hydrophilic SPs alone (n=8) or among SNPs of both hydrophilic or hydrophobic SPs (n=11). Our findings indicate that SNPs of all SFTPs may contribute to genetic susceptibility to RSV severity. However, the predominant involvement of SFTPA1 and/or SFTPA2 SNPs in these interactions underscores their significance in RSV severity.

PMID:39222066 | DOI:10.1152/physiolgenomics.00045.2024

Brief Bioinform. 2024 Jul 25;25(5):bbae419. doi: 10.1093/bib/bbae419.

ABSTRACT

The human gut microbiota produces diverse, extensive metabolites that have the potential to affect host physiology. Despite significant efforts to identify metabolic pathways for producing these microbial metabolites, a comprehensive metabolic pathway database for the human gut microbiota is still lacking. Here, we present Enteropathway, a metabolic pathway database that integrates 3269 compounds, 3677 reactions, and 876 modules that were obtained from 1012 manually curated scientific literature. Notably, 698 modules of these modules are new entries and cannot be found in any other databases. The database is accessible from a web application (https://enteropathway.org) that offers a metabolic diagram for graphical visualization of metabolic pathways, a customization interface, and an enrichment analysis feature for highlighting enriched modules on the metabolic diagram. Overall, Enteropathway is a comprehensive reference database that can complement widely used databases, and a tool for visual and statistical analysis in human gut microbiota studies and was designed to help researchers pinpoint new insights into the complex interplay between microbiota and host metabolism.

PMID:39222063 | DOI:10.1093/bib/bbae419

Br J Dev Psychol. 2024 Sep 2. doi: 10.1111/bjdp.12520. Online ahead of print.

ABSTRACT

Examining mechanisms underlying sex differences in children’s play styles, we studied girls with congenital adrenal hyperplasia (CAH) who provide a test of the relative effects of prenatal androgens versus rearing, and of behavioural similarity versus gender identity and cognitions. In this exploratory study, 40 focal children (girls and boys with and without CAH), aged 3-8 years, played for 14 min with a same-sex peer in a task designed to elicit rough-and-tumble play. Time-indexed ratings of positive affect and vigour of activity were evaluated via network mapping for sex-related differences in both levels and play dynamics (temporal relations among behaviours). Results suggest influences of both gender identity-aligned social cognitions and prenatal androgens: there was greater dyadic synchrony between positive affect for girls (regardless of CAH status) than boys, but girls with CAH displayed positive affect levels and directed vigorous peer play dynamics similar to boys.

PMID:39222059 | DOI:10.1111/bjdp.12520

Immun Inflamm Dis. 2024 Sep;12(9):e1371. doi: 10.1002/iid3.1371.

ABSTRACT

OBJECTIVE: To examine the relationship between C-reactive protein (CRP) and knee pain, and further explore whether this association is mediated by obesity.

METHODS: The population was derived from 1999 to 2004 National Health and Nutrition Examination Survey. Logistic regression was used to analyze the relationship between CRP and knee pain in three different models, and the linear trend was analyzed. A restricted cubic spline model to assess the nonlinear dose-response relationship between CRP and knee pain. Mediation analyses were used to assess the potential mediating role of obesity. Subgroup analyses and sensitivity analyses were performed to ensure robustness.

RESULTS: Compared with adults with lower CRP (first quartile), those with higher CRP had higher risks of knee pain (odds ratio 1.39, 95% confidence interval 1.12-1.72 in third quartile; 1.56, 1.25-1.95 in fourth quartile) after adjusting for covariates (except body mass index [BMI]), and the proportion mediated by BMI was 76.10% (p < .001). BMI and CRP were linear dose-response correlated with knee pain. The odds ratio for those with obesity compared with normal to knee pain was 2.27 (1.42-3.65) in the first quartile of CRP, 1.99 (1.38-2.86) in the second, 2.15 (1.38-3.33) in the third, and 2.92 (1.72-4.97) in the fourth.

CONCLUSION: Obesity mediated the systemic inflammation results in knee pain in US adults. Moreover, higher BMI was associated with higher knee pain risk in different degree CRP subgroups, supporting an important role of weight loss in reducing knee pain caused by systemic inflammation.

PMID:39222043 | DOI:10.1002/iid3.1371

Appl Neuropsychol Child. 2024 Sep 2:1-7. doi: 10.1080/21622965.2024.2394178. Online ahead of print.

ABSTRACT

OBJECTIVES: Mental chronometry is the scientific study of cognitive processing speed measured by reaction time (RT), which is the elapsed time between the onset of a stimulus and an individual’s response. This study aims at measuring the RT among young children with autism spectrum disorders (ASD) and comparing it with normal (typically developing) children.

METHODS: 60 ASD children were selected from different ASD centers, and 60 normal children were selected from different kindergartens for participation in this study. Participants were aged 3-6 years old. The RT was measured using the Fitlight trainer device. The findings were statistically evaluated using independent t-tests and ANOVA tests.

RESULT: Significant differences (p < 0.0001) were found between both groups in all tasks, and ASD children demonstrated slower RT compared to the normal group. The RT measured through three senses (visual, auditory, and touch) for ASD and normal were 3.64 ± 2.16, 13.19 ± 2.41(trial), 1835.23 ± 757.95, 697.12 ± 87.83 (second), and 1550.89 ± 499.76, 752.67 ± 124.02 (second) respectively.

CONCLUSION: The evaluated RT showed significant impairment in RT among ASD in comparison to normal children and this was true for the three senses. The Fitlight trainer could be used to assess RT and stimulus-response among ASD children in various cognitive tasks. Similar studies, involving larger samples from different areas and involving other sense organs, are indicated to confirm the results.

PMID:39222037 | DOI:10.1080/21622965.2024.2394178

Biometrics. 2024 Jul 1;80(3):ujae082. doi: 10.1093/biomtc/ujae082.

ABSTRACT

Testing multiple hypotheses of conditional independence with provable error rate control is a fundamental problem with various applications. To infer conditional independence with family-wise error rate (FWER) control when only summary statistics of marginal dependence are accessible, we adopt GhostKnockoff to directly generate knockoff copies of summary statistics and propose a new filter to select features conditionally dependent on the response. In addition, we develop a computationally efficient algorithm to greatly reduce the computational cost of knockoff copies generation without sacrificing power and FWER control. Experiments on simulated data and a real dataset of Alzheimer’s disease genetics demonstrate the advantage of the proposed method over existing alternatives in both statistical power and computational efficiency.

PMID:39222026 | DOI:10.1093/biomtc/ujae082