Neuroscience

eLife Assessment

This important study identifies a physiologically relevant interaction between LRRK2 and drebrin, an actin-binding protein crucial for neuronal structure. A solid body of evidence, including multiple cell models, highlights the complexities of how modifiers like BDNF intersect with LRRK2-kinase dependent function, and that many modifiers between AKT and LRRK2 in different cellular pathways are yet to be identified and understood.

eLife Assessment

This valuable study examines the cleavage of motor neuron nucleoporins by proteases of enterovirus D68, a pathogen associated with acute flaccid myelitis. The evidence supporting the effects of EV-D68 proteases on nuclear import and export is generally solid, as is the independent examination of EV-D68 protease on spinal cord neuron toxicity. The specific conclusions related to RNA export were considered overstated relative to the data presented.

eLife Assessment

This study offers an important advance by extending an intuitive visualization tool that enables assessment of how dendritic and synaptic currents potentially shape neuronal output. The evidence supporting the tool's capabilities is convincing, with well-documented code, algorithmic innovation, and application to hippocampal pyramidal neurons. The work will be of interest to computational and systems neuroscientists seeking accessible methods to examine dendritic computations.

eLife Assessment

This valuable study advances our understanding of how organisms respond to chronic oxidative stress. Using the nematode C. elegans, the authors identified key neuronal signaling molecules and their receptors that are required for stress signaling and survival. The evidence supporting the conclusions is solid, including rigorous genetics, stress response analysis, and transcriptional profiling. This research will be of broad interest to neuroscientists and researchers working in the field of oxidative stress regulation.

eLife Assessment

This important study combines optogenetic manipulations with wide-field cortical imaging to investigate the neural basis of context-dependent sensory processing. It provides compelling evidence that the retrosplenial cortex modulates behavioral responses to whisker deflection depending on the behavioral context. The paper will be of strong interest to neuroscientists studying cortical mechanisms of sensorimotor processing.

eLife Assessment

In this important study, Li et al. identify estrogen receptor 1-expressing neurons (ESR1+) in Barrington's nucleus as key regulators coordinating both bladder contraction and the relaxation of the external urethral sphincter. Using appropriate and validated methodologies aligned with the current state of the art, the data are convincing and of generally high quality.

eLife Assessment

This is an important study that develops multiple human iPSC-based models to study the consequences of DNMT3A mutations in Tatton-Brown-Rahman Syndrome. Convincing evidence shows dysregulation of GABAergic interneuron development and function, and the authors identify some of the key signaling mechanisms underlying these changes. This study will be of interest for understanding the functions of DNMT3A in brain development and the causes of neurological dysfunction in Tatton-Brown-Rahman Syndrome.

eLife Assessment

This important study provides a comprehensive map of how touch-sensitive neurons in the fly head connect to downstream circuits, revealing parallel pathways that preserve spatial organization and identifying a developmentally defined circuit linking sensory input to grooming behavior. The evidence is convincing, with detailed anatomical reconstruction and quantitative analysis supporting the main claims, while the link to behaviour remains based on prior functional work. The study will be of interest to neuroscientists studying sensory processing and motor control, and provides an invaluable resource for future functional investigations.

eLife Assessment

This important study describes a novel Bayesian psychophysical approach that efficiently measures how well humans can discriminate between colors across the entire isoluminant plane. The evidence was considered compelling, as it included successful model validation against hold-out data and published datasets. This approach could prove to be of use to color vision scientists, as well as to those who employ computational psychophysics and attempt to model perceptual stimulus fields with smooth variations over coordinate spaces.

eLife Assessment

This valuable study demonstrates that self-motion strongly affects neural responses to visual stimuli, comparing humans moving through a virtual environment to passive viewing. The evidence for visuomotor mismatch responses is solid, although the interpretation in terms of prediction remains somewhat preliminary. This study bridges human and rodent studies on the role of prediction in sensory processing, and is therefore expected to be of interest to a large community of neuroscientists.