Negative valence in Obsessive-Compulsive Disorder: A worldwide mega-analysis of task-based functional neuroimaging data of the ENIGMA-OCD consortium.

Objective: Obsessive-compulsive disorder (OCD) is associated with altered brain function related to processing of negative emotions. To investigate neural correlates of negative valence in OCD, we pooled fMRI data of 633 individuals with OCD and 453 healthy controls from 16 studies using different negatively-valenced tasks across the ENIGMA-OCD Working-Group.

Methods: Participant data were processed uniformly using HALFpipe, to extract voxelwise participant-level statistical images of one common first-level contrast: negative vs.

Wellbeing of Family Carers of Adults With Intellectual Disabilities During the COVID-19 Pandemic in the UK: Longitudinal Study.

Background: Longitudinal studies of family carers of people with intellectual disabilities during the COVID-19 pandemic have been very rare. This study investigated trajectories of family-carer wellbeing and the impact of the caring role on carers' health over four time points measured during the COVID-19 pandemic and after all public health restrictions had been lifted (between December 2020 and late 2022) across the United Kingdom.

Methods: Family carers of adults with intellectual disabilities participated through a co-designed, online survey at four time points across the pandemic (2020-2022).

Intraoperative Predictors of Salvage in Infected Breast Implants: A Retrospective Study.

Background: Infectious complications associated with implant-based breast reconstruction (IBBR) can be devastating and may lead to reconstructive failure. While there are known demographic risk factors for reconstructive failure, few studies have identified intraoperative findings that predict failure after attempted salvage.

Objectives: The objective of this study was to identify intraoperative findings in infected breasts that may be predictive of implant failure.

Protein Citrullination in Amyotrophic Lateral Sclerosis and Other Neurodegenerative Diseases.

Protein citrullination (PC) is a posttranslational modification (PTM) that converts a peptidyl arginine into a peptidyl citrulline. Aberrant PC is a hallmark of neurodegenerative diseases, including amyotrophic lateral sclerosis (ALS), Alzheimer's disease, Parkinson's disease, prion disease, and multiple sclerosis. Common among these diseases is a dramatic increase of PC in reactive astrocytes.

Sex and APOE ε4 allele differences in longitudinal white matter microstructure in multiple cohorts of aging and Alzheimer's disease.

Introduction: The effects of sex and apolipoprotein E (APOE)-Alzheimer's disease (AD) risk factors-on white matter microstructure are not well characterized.

Methods: Diffusion magnetic resonance imaging data from nine well-established longitudinal cohorts of aging were free water (FW)-corrected and harmonized. This dataset included 4741 participants (age = 73.

Artificial Intelligence Assessment of Chest Radiographs for COVID-19.

Background: The sensitivity of reverse-transcription polymerase chain reaction (RT-PCR) is limited for diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Chest computed tomography (CT) is reported to have high sensitivity; however, given the limited availability of chest CT during a pandemic, the assessment of more readily available imaging, such as chest radiographs, augmented by artificial intelligence may substitute for the detection of the features of coronavirus disease 2019 (COVID-19) pneumonia.

Methods: We trained a deep convolutional neural network to detect SARS-CoV-2 pneumonia using publicly available chest radiography imaging data including 8,851 normal, 6,045 pneumonia, and 200 COVID-19 pneumonia radiographs.

Traumatic Tension Pneumothorax: A Tale of Two Pathologies.

Pneumothorax resulting from injury is a common phenomenon in both civilian and military trauma. A pneumothorax or simple pneumothorax is defined as air in the pleural space. A tension pneumothorax can evolve from a simple pneumothorax if there is a continued air leak from the lung without mechanism for egress.

RNA-programmable cell type monitoring and manipulation in the human cortex with CellREADR.

Reliable and systematic experimental access to diverse cell types is necessary for understanding the neural circuit organization, function, and pathophysiology of the human brain. Methods for targeting human neural populations are scarce and currently center around identifying and engineering transcriptional enhancers and viral capsids. Here we demonstrate the utility of CellREADR, a programmable RNA sensor-effector technology that couples cellular RNA sensing to effector protein translation, for accessing, monitoring, and manipulating specific neuron types in human cortical tissues.

Adherence to Life's Essential 8 is associated with delayed white matter aging.

Importance: The American Heart Association introduced Life's Essential 8 (LE8) as a checklist of healthy lifestyle factors to help older individuals maintain and improve cardiovascular health and live longer. How LE8 can foster healthy brain aging and interact with genetic risk factors to render the aging brain less vulnerable to dementia is not well understood.

Objective: To investigate the impact of LE8 on the white matter brain aging and the moderating effects of the allele.

Ethical Issues in Emerging Technologies to Extend the Viability of Biological Materials Across Time and Space.

This article presents a framework of ethical analysis for anticipatory evaluation of advanced biopreservation technologies and employs the framework illustratively in three domains. The framework features four clusters of general ethical considerations: (1) Producing Benefits, Minimizing Harms, Balancing Benefits, Risk, and Costs; (2) Justice, Fairness, Equity; (3) Respect for Autonomy; and (4) Transparency, Trustworthiness, and Public Trust.

Manipulating Time by Cryopreservation: Designing an Environmental Future by Maintaining a Portal to the Past.

This article explores how time-related metaphors frame advanced cryopreservation technologies in environmental conservation. Cryopreservation "stops" or "freezes" biological time and "buys time" desperately needed to preserve species and ecosystems. We advance a framing of these technologies as logistical, highlighting how they create opportunities to shift materials, knowledge, and decision-making power through space and time.

Building Governance & Coordination Across Applications.

Advanced biopreservation technologies using subzero approaches such as supercooling, partial freezing, and vitrification with reanimating techniques including nanoparticle infusion and laser rewarming are rapidly emerging as technologies with potential to radically disrupt biomedicine, research, aquaculture, and conservation. These technologies could pause biological time and facilitate large-scale banking of biomedical products including organs, tissues, and cell therapies.

Biopreservation in Agriculture and Food Systems: A Summary of Ethical Issues.

Biomedical research on advanced cryopreservation has spillover effects on innovation in the food and agricultural sector. Advanced biopreservation technology has three key domains of impact in the food system: (1) improving efficiencies in storage and utilization of gametes and organoids for plant and animal breeding; (2) isochoric methods for preservation of fresh food products; and (3) in biorepositories for storage of genetic resources for agriculturally significant plants and livestock species.

Exploring the Granularity of the Illnesses-Related Changes in Regional Homogeneity in Major Depressive Disorder using the UKBB Data.

Illness related brain effects of neuropsychiatric disorders are not regionally uniform, with some regions showing large pathological effects while others are relatively spared. Presently, Big Data meta-analytic studies tabulate these effects using structural and/or functional brain atlases that are based on the anatomical boundaries, landmarks and connectivity patterns in healthy brains. These patterns are then translated to individual level predictors using approaches such as Regional Vulnerability Index (RVI), which quantifies the agreement between individual brain patterns and the canonical pattern found in the illness.

Session Introduction: Translating Big Data Imaging Genomics Findings to the Individual: Prediction of Risks and Outcomes in Neuropsychiatric Illnesses.

This PSB 2025 session is focused on opportunities, challenges and solutions for translating Big Data Imaging Genomic findings toward powering decision making in personalized medicine and guiding individual clinical decisions. It combines many of the scientific directions that are of interest to PSB members including Big Data analyses, pattern recognition, machine learning and AI, electronic health records and others.

Amyloid, Tau, and APOE in Alzheimer's Disease: Impact on White Matter Tracts.

Alzheimer's disease (AD) is characterized by cognitive decline and memory loss due to the abnormal accumulation of amyloid-beta (Aβ) plaques and tau tangles in the brain; its onset and progression also depend on genetic factors such as the apolipoprotein E (APOE) genotype. Understanding how these factors affect the brain's neural pathways is important for early diagnostics and interventions. Tractometry is an advanced technique for 3D quantitative assessment of white matter tracts, localizing microstructural abnormalities in diseased populations in vivo.

TRICHINELLA INFECTIONS IN WILDLIFE FROM PENNSYLVANIA: VARIATION IN EXPOSURE AMONG COYOTE (CANIS LATRANS), GRAY FOX (UROCYON CINEREOARGENTEUS), AND RED FOX (VULPES VULPES).

During a survey for Sarcocystis infections in Pennsylvania in wild canids, muscles from the tongue and limb were examined microscopically for sarcocysts. Between 9 February 2024 and 11 February 2024, muscle samples were collected from 76 coyotes, 46 gray foxes, and 21 red foxes from Pennsylvania hunter harvested animals. Around 5 g of muscle was examined microscopically by compression between a glass slide and coverslip.

BPEN: Brain Posterior Evidential Network for trustworthy brain imaging analysis.

The application of deep learning techniques to analyze brain functional magnetic resonance imaging (fMRI) data has led to significant advancements in identifying prospective biomarkers associated with various clinical phenotypes and neurological conditions. Despite these achievements, the aspect of prediction uncertainty has been relatively underexplored in brain fMRI data analysis. Accurate uncertainty estimation is essential for trustworthy learning, given the challenges associated with brain fMRI data acquisition and the potential diagnostic implications for patients.

High-Throughput Screening of More Than 30,000 Compounds for Anthelmintics against Gastrointestinal Nematode Parasites.

Gastrointestinal nematodes (GINs) are among the most common parasites of humans, livestock, and companion animals. GIN parasites infect 1-2 billion people worldwide, significantly impacting hundreds of millions of children, pregnant women, and adult workers, thereby perpetuating poverty. Two benzimidazoles with suboptimal efficacy are currently used to treat GINs in humans as part of mass drug administrations, with many instances of lower-than-expected or poor efficacy and possible resistance.

MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI.

White matter alterations are increasingly implicated in neurological diseases and their progression. International-scale studies use diffusion-weighted magnetic resonance imaging (DW-MRI) to qualitatively identify changes in white matter microstructure and connectivity. Yet, quantitative analysis of DW-MRI data is hindered by inconsistencies stemming from varying acquisition protocols.

Accelerating Heritability, Genetic Correlation, and Genome-Wide Association Imaging Genetic Analyses in Complex Pedigrees.

National and international biobanking efforts led to the collection of large and inclusive imaging genetics datasets that enable examination of the contribution of genetic and environmental factors to human brains in illness and health. High-resolution neuroimaging (~10 voxels) and genetic (10 single nucleotide polymorphic [SNP] variants) data are available in statistically powerful (N = 10) epidemiological and disorder-focused samples. Performing imaging genetics analyses at full resolution afforded in these datasets is a formidable computational task even under the assumption of unrelatedness among the subjects.

The Consortium for Clarity in ADRD Research Through Imaging (CLARiTI).

The presence of multiple pathologies is the largest predictor of dementia. A major gap in the field is the in vivo detection of mixed pathologies and their antecedents. The Alzheimer's Disease Research Centers (ADRCs) are uniquely positioned to address this gap.