Neuroscience

eLife Assessment

This valuable study presents a framework for a shareable data analysis pipeline aimed at improving reproducibility in neuroscience. The evidence for robustness and inter-laboratory operability is convincing. Overall, this work will be of interest to neuroscientists engaged in the analysis of large-scale neuronal recordings.

eLife Assessment

This study addresses an important question in gustatory neuroscience by developing a machine-learning classifier to identify distinct ingestive orofacial movement subtypes from electromyographic recordings and relating their dynamics to population-level activity in the gustatory cortex. The evidence that transitions in cortical ensemble firing are temporally associated with reorganization of ingestive movement patterns is convincing, though some aspects of the behavioral classification and neural analyses require further validation and clarification. The work provides a technically innovative framework for linking neural state dynamics to the motor expression of taste-guided decisions.

eLife Assessment

This fundamental study provides a major contribution to our understanding of Amyotrophic Lateral Sclerosis (ALS) pathogenesis by utilizing a primate model that overcomes the historical limitations of rodent paradigms. By demonstrating the retrograde and trans-synaptic spread of pathological TDP-43 from the periphery to the spinal cord and motor cortex, the authors propose a new model for the disease spreading. The evidence supporting these findings is compelling, characterized by rigorous post-mortem histological observations. This work will be of profound interest to neuroscientists and translational researchers seeking to decode the mechanisms of systemic disease progression in ALS.