Meta-analysis indicates that network-targeted noninvasive brain stimulation consistently enhances memory function supported by the hippocampal network, thus providing robust evidence that specific ...
This valuable study demonstrates that self-motion strongly affects neural responses to visual stimuli, comparing humans moving through a virtual environment to passive viewing. However, evidence that ...
Department of Cell and Tissue Biology, University of California San Francisco, San Francisco, United States ...
This important study presents a technically rigorous and carefully controlled analysis of the signalling potential of cancer-associated gain-of-function Notch alleles. The work is clearly presented, ...
This valuable study uses mathematical modeling and analysis to address the question of how neural circuits generate distinct low-dimensional, sequential neural dynamics that can change on fast, ...
This important study describes a deep learning framework that analyzes single-cell RNA data to identify a tumor-agnostic gene signature associated with brain metastases. The identified signature ...
Children’s social cognitive development emerges from the dynamic interplay of neural maturation, parental caregiving, and dyadic brain-to-brain synchrony.
This important study advances our understanding of vertebrate forelimb development, specifically the contribution of Hox genes to zebrafish pectoral fin formation. The authors have employed a robust ...
This study investigates the folding and unfolding behavior of the doubly knotted protein TrmD-Tm1570, providing insight into the molecular mechanisms underlying protein knotting. The findings reveal ...
This valuable work provides new insights into the role of lysine acetylation of alpha-synuclein, the protein involved in Parkinson's Disease. The evidence is mostly solid, but the claims around the ...
Only rigorous mathematical tools to quantify the shape of cells can guarantee reliable results in coarse-grained descriptions of tissue dynamics.
The authors have performed a potentially valuable new kind of analysis in connectomics, mapping to an interesting developmental problem of synaptic input to sensory neurons. While the analysis itself ...