Age-related cognitive decline has been extensively studied in humans, but the majority of research designs are cross-sectional and compare across younger and older adults. Longitudinal studies are necessary to capture variability in cognitive aging trajectories but are difficult to carry out in humans and long-lived nonhuman primates. Marmosets are an ideal primate model for neurocognitive aging as their naturally short lifespan facilitates longitudinal designs. In a longitudinal study of marmosets tested on reversal learning starting in middle-age, we found that, on average, the group of marmosets declined in cognitive performance around 8 years of age. However, we found highly variable patterns of cognitive aging trajectories across individuals. Preliminary analyses of brain tissues from this cohort also show highly variable degrees of neuropathology. Future work will tie together behavioral trajectories with brain pathology and provide a window into the factors that predict age-related cognitive decline.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8550997PMC
http://dx.doi.org/10.1002/ajp.23271DOI Listing

Publication Analysis

Top Keywords

primate model
8
longitudinal studies
8
neurocognitive aging
8
age-related cognitive
8
cognitive decline
8
cognitive aging
8
aging trajectories
8
highly variable
8
cognitive
5
marmoset primate
4

Similar Publications

A conifer metabolite corrects episodic ataxia type 1 by voltage sensor-mediated ligand activation of Kv1.1.

Proc Natl Acad Sci U S A

January 2025

Bioelectricity Laboratory, Department of Physiology and Biophysics, School of Medicine, University of California, Irvine, CA 92697.

Loss-of-function sequence variants in , which encodes the voltage-gated potassium channel Kv1.1, cause Episodic Ataxia Type 1 (EA1) and epilepsy. Due to a paucity of drugs that directly rescue mutant Kv1.

View Article and Find Full Text PDF

The Impact of Professional Governance on Hope, Resilience, and Empowerment.

J Nurs Adm

December 2024

Author Affiliations: Research Nurse Scientist (Dr Partridge), Roper St Francis Healthcare; Associate Professor (Dr Jorgenson), College of Nursing, Charleston Southern University; Associate Professor (Dr Johnson), College of Nursing, Medical University of South Carolina; and Director of Nursing Excellence (Dr Lott), Roper St Francis Healthcare, Charleston, South Carolina.

Objective: The purpose of this cross-sectional descriptive study was to examine the relationship of professional governance, resilience, and empowerment among RNs in clinical practice in 1 healthcare system.

Background: Given the emotional and physical demands of nursing, especially in recent years, exploring ways that hope-inducing and resilience-building models can support professional practice is vital to the current and future nursing workforce.

Methods: An anonymous survey consisting of demographic questions, the Adult Hope Scale, Connor-Davidson Resilience Scale, and the Conditions for Work Effectiveness Questionnaire II was offered to 1450 RNs in a nonprofit community-based healthcare system for volunteer participation.

View Article and Find Full Text PDF

Visibility, Physical Work Environment, and Stress in ICU Nurses.

J Nurs Adm

December 2024

Author Affiliations: Research Associate (Dr Keys), The Center for Health Design, Concord, California; National Senior Director (Dr Fineout-Overholt), Evidence-Based Practice and Implementation Science, at Ascension in St. Louis, MO.

Objective: Relationships among coworker and patient visibility, reactions to physical work environment, and work stress in ICU nurses are explored.

Background: Millions of dollars are invested annually in the building or remodeling of ICUs, yet there is a gap in understanding relationships between the physical layout of nursing units and work stress.

Methods: Using a cross-sectional, correlational, exploratory, predictive design, relationships among variables were studied in a diverse sample of ICU nurses.

View Article and Find Full Text PDF

Learning the language of antibody hypervariability.

Proc Natl Acad Sci U S A

January 2025

Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139.

Protein language models (PLMs) have demonstrated impressive success in modeling proteins. However, general-purpose "foundational" PLMs have limited performance in modeling antibodies due to the latter's hypervariable regions, which do not conform to the evolutionary conservation principles that such models rely on. In this study, we propose a transfer learning framework called Antibody Mutagenesis-Augmented Processing (AbMAP), which fine-tunes foundational models for antibody-sequence inputs by supervising on antibody structure and binding specificity examples.

View Article and Find Full Text PDF

Confined cell migration along extracellular matrix space in vivo.

Proc Natl Acad Sci U S A

January 2025

Center for Complexity and Biosystems, Department of Environmental Science and Policy, University of Milan, 20133 Milan, Italy.

Collective migration of cancer cells is often interpreted using concepts derived from the physics of active matter, but the experimental evidence is mostly restricted to observations made in vitro. Here, we study collective invasion of metastatic cancer cells injected into the mouse deep dermis using intravital multiphoton microscopy combined with a skin window technique and three-dimensional quantitative image analysis. We observe a multicellular but low-cohesive migration mode characterized by rotational patterns which self-organize into antiparallel persistent tracks with orientational nematic order.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!