Predicting age jointly from multimodal brain images and electrophysiology with machine learning enhances detecting health issues and facets of cognitive decline.

Visualizations, simulations, and examples are used to provide an accessible synthesis of the reasoning and assumptions behind commonly used causal discovery approaches.

An inference paradigm for extracting neuronal correlations from two-photon imaging data, without requiring intermediate spike deconvolution, provides significant performance gains over existing methods as demonstrated by theoretical analysis, simulation studies, and real-data applications.

Surrogate agonist peptide ligands discovered through screening of an IAb-peptide library potentiate expansion of visceral adipose tissue resident regulatory T cells and protect mice from inflammation and improve metabolic indices.

BOLD fMRI fluctuations induced by head motion and variations in cardiac and breathing activity lead to artifactual patterns in functional connectivity as well as recurrent patterns in time-varying functional connectivity.

Phase-locking of hippocampal theta and gamma waves has been proposed to support memory formation, but an analysis using robust statistical methods finds no convincing evidence for the phenomenon.

Two different analysis approaches for measuring neural synchronization to natural music revealed strongest synchronization to musical spectral flux as opposed to the more commonly used amplitude envelope.

Methylation pace of aging is a novel measure requiring only a blood sample that clinical-trial and observational studies can use to test if treatments modify how fast participants are aging.

Cryo-EM structure of monomeric human Frizzled5 was determined with a universal fiducial antibody at 3.7 Å overall resolution, which supports a simple Fzd/LRP6 heterodimerization mechanism of canonical Wnt/β-catenin signaling.

Gestational age estimation models derived from newborn screening bloodspot samples are effective on data obtained from both heel prick and cord blood samples in low-resource settings.