Advancing the network theory of mental disorders: A computational model of panic disorder.

The network theory of psychopathology posits that mental disorders are systems of mutually reinforcing symptoms. This framework has proven highly generative but does not specify precisely how any specific mental disorder operates as such a system. Cognitive behavioral theories of mental disorders provide considerable insight into how these systems may operate.

Network analysis: An overview for mental health research.

Network approaches to psychopathology have become increasingly common in mental health research, with many theoretical and methodological developments quickly gaining traction. This article illustrates contemporary practices in applying network analytical tools, bridging the gap between network concepts and their empirical applications. We explain how we can use graphs to construct networks representing complex associations among observable psychological variables.

Productive explanation: A framework for evaluating explanations in psychological science.

The explanation of psychological phenomena is a central aim of psychological science. However, the nature of explanation and the processes by which we evaluate whether a theory explains a phenomenon are often unclear. Consequently, it is often unknown whether a given psychological theory indeed explains a phenomenon.

The genetic etiology of body fluids on chronic obstructive airways disease.

Background: Numerous studies have documented significant alterations in the bodily fluids of Chronic Obstructive Pulmonary Disease (COPD) patients. However, existing literature lacks causal inference due to residual confounding and reverse causality.

Methods: Summary-level data for COPD were obtained from two national biobanks: the UK Biobank, comprising 1,605 cases and 461,328 controls, and FinnGen, with 6,915 cases and 186,723 controls.

Polarization and motility of one-dimensional multi-cellular trains.

Collective cell migration, whereby cells adhere to form multi-cellular clusters that move as a single entity, play an important role in numerous biological processes, such as during development and cancer progression. Recent experimental work focused on migration of one-dimensional cellular clusters, confined to move along adhesive lanes, as a simple geometry in which to systematically study this complex system. One-dimensional migration also arises in the body when cells migrate along blood vessels, axonal projections, and narrow cavities between tissues.

Towards a general modeling framework of resource competition in cognitive development.

The current paper presents an integrated formal model of typical and atypical development based on the mechanisms of mutualism and resource competition. The mutualistic network model is extended with the dynamics of competition for limited resources, such as time and environmental factors. The proposed model generates patterns that resemble established phenomena in cognitive development: the positive manifold, developmental phases, developmental delays and lack of early indicators in atypical development, developmental regression, and "quasi-autism" caused by extreme environmental deprivation.

Actin Filaments Couple the Protrusive Tips to the Nucleus through the I-BAR Domain Protein IRSp53 during the Migration of Cells on 1D Fibers.

The cell migration cycle, well-established in 2D, proceeds with forming new protrusive structures at the cell membrane and subsequent redistribution of contractile machinery. Three-dimensional (3D) environments are complex and composed of 1D fibers, and 1D fibers are shown to recapitulate essential features of 3D migration. However, the establishment of protrusive activity at the cell membrane and contractility in 1D fibrous environments remains partially understood.

Quantifying and addressing the impact of measurement error in network models.

Network psychometric models are often estimated using a single indicator for each node in the network, thus failing to consider potential measurement error. In this study, we investigate the impact of measurement error on cross-sectional network models. First, we conduct a simulation study to evaluate the performance of models based on single indicators as well as models that utilize information from multiple indicators per node, including average scores, factor scores, and latent variables.

Efficacy and Safety of Xiaoyao Recipe in the Treatment of Poststroke Depression: A Systematic Review and Meta-Analysis.

Background: Poststroke depression (PSD) is a common neuropsychiatric disorder that affects the disability, mortality, functional recovery, and quality of daily life of patients. Xiaoyao Recipe (XYR) is often used to treat PSD and has achieved good clinical effects, but it lacks reliable evidence.

Objective: This study aims to evaluate the effectiveness and safety of XYR on PSD through meta-analysis.

Psychological networks in clinical populations: investigating the consequences of Berkson's bias.

Background: In clinical research, populations are often selected on the sum-score of diagnostic criteria such as symptoms. Estimating statistical models where a subset of the data is selected based on a function of the analyzed variables introduces Berkson's bias, which presents a potential threat to the validity of findings in the clinical literature. The aim of the present paper is to investigate the effect of Berkson's bias on the performance of the two most commonly used psychological network models: the Gaussian Graphical Model (GGM) for continuous and ordinal data, and the Ising Model for binary data.

Bi-stability in cooperative transport by ants in the presence of obstacles.

To cooperatively carry large food items to the nest, individual ants conform their efforts and coordinate their motion. Throughout this expedition, collective motion is driven both by internal interactions between the carrying ants and a response to newly arrived informed ants that orient the cargo towards the nest. During the transport process, the carrying group must overcome obstacles that block their path to the nest.

Caregiving for children with type 1 diabetes and clinical outcomes in central India: The IDREAM study.

Aims: Parental care influences outcomes for children's type 1 diabetes (T1D). There is little evidence about the impact of parental caregiving in developing countries, where fixed dose human insulin (conventional) therapy and limited self-monitoring of blood glucose are common. This article investigates whether performance of key T1D management tasks by children or their caregivers impacts hemoglobin A1c (HbA1c).

Spatio-temporal clusters of incident human brucellosis cases in Ecuador.

This study aimed to determine whether variations in the incidence of reported cases of human brucellosis in Ecuador were clustered in space and time. In addition, the effects of cattle and small ruminant population density and other socio-economic factors on the incidence were investigated. Significant space-time clusters were found in the northern and southern highlands and parts of Ecuadorian Amazonia.

Public health, conflict and human rights: toward a collaborative research agenda.

Although epidemiology is increasingly contributing to policy debates on issues of conflict and human rights, its potential is still underutilized. As a result, this article calls for greater collaboration between public health researchers, conflict analysts and human rights monitors, with special emphasis on retrospective, population-based surveys. The article surveys relevant recent public health research, explains why collaboration is useful, and outlines possible future research scenarios, including those pertaining to the indirect and long-term consequences of conflict; human rights and security in conflict prone areas; and the link between human rights, conflict, and International Humanitarian Law.

Preliminary observations on Mycobacterium spp. in dairy cattle in Ecuador.

This study evaluated bovine tuberculosis in Mejia canton, a major dairy cattle production region in Ecuador. Randomly selected cattle (1,012 from 59 farms) classified according to herd size were tested by the single tuberculin test (STT). Sixty days later, positive reactors were tested again by the comparative tuberculin test (CTT).

The B cell is the initiating antigen-presenting cell in peripheral lymph nodes.

We have examined the role of B cells in antigen presentation in lymph nodes in several ways. We found that mice depleted of B lymphocytes via chronic injection of anti-mu-chain antibody do not mount peripheral lymph node T cell proliferative responses to normally immunogenic doses of antigen. Depletion of B cells by passage of immune lymph node cells over anti-immunoglobulin columns early after immunization depletes antigen-presenting function from draining lymph nodes, and this function can be restored by using B cells or splenic adherent cells to allow the remaining T cells to proliferate.