Neuroscience

eLife Assessment

This revised study describes an important new model for in vivo manipulation of microglia, exploring how mutations in the Adar1 gene within microglia contribute to Aicardi-Goutières Syndome. The methodology is validated with exceptional data, supporting the authors' conclusions. The paper underscores both the advantages and limitations of using transplanted cells as a surrogate for microglia, making it a resource that is of value for biologists studying macrophages and microglia.

eLife Assessment

The authors modified a common method to induce epilepsy in mice to provide an improved approach to screen new drugs for epilepsy. This is important because of the need to develop new drugs for patients who are refractory to current medications. The authors' method evokes seizures to circumvent a low rate of spontaneous seizures and the approach was validated using two common anti-seizure medications. The strength of evidence was solid, making the study invaluable, but there were some limitations to the approach and methods.

eLife Assessment

This useful study characterises motor and somatosensory cortex neural activity during naturalistic eating and drinking tongue movement in nonhuman primates. The data, which include both electrophysiology and nerve block manipulations, will be of value to neuroscientists and neural engineers interested in tongue use. Although the current analyses provide a solid description of single neuron activity in these areas, both the population level analyses and the characterisation of activity changes following nerve block could be improved.

eLife Assessment

This useful manuscript reports on a new mouse model for LAMA2-MD, a rare but very severe congenital muscular dystrophy. The knockout mice were generated by removing exon3 in the Lama2 gene, which results in a frameshift in exon4 and a premature stop codon. These animals lack any laminin-alpha2 protein and confirm results from previous Lama2 knockout models. Additionally, this study includes weak transcriptomics data that might be a good resource for the field. However, experimental evidence, methods, and data analyses supporting the main claims of the manuscript are incomplete.

eLife Assessment

The authors present useful findings on the use of a single-fly behavioral paradigm for assessing different Drosophila genetic models of neurodegeneration. The experimental design and analyses are solid and can be used for quick behavioral assessment in fly models of various neurodegenerative diseases, especially those having an impact on locomotion. The work will be of interest to Drosophila biologists using behavior as a readout for their studies.

eLife Assessment

This manuscript makes important contributions to the methodology commonly used to assess representational structures in human and animal brain activity recorded using various techniques (especially fMRI). The evidence in the form of mathematical analysis and simulations is solid. The impact of this contribution could be improved by extending the simulations to assess the effects of violations of explicit and implicit assumptions.

eLife Assessment

This is an important study that combines replications of findings and novel detailed MRI investigations to assess the impact of environmental enrichment and maternal behavior on mice brain structure at different stages of development. The results and evidence supporting the conclusions are convincing, but in detail, the interpretation is challenging, in particular due to inter-individual and inter-litter variability. The extent to which maternal care mediates the impact of enrichment on brain development during the perinatal period also remains unclear because behavior was observed only during short periods, and the performed analyses are still incomplete. This study will nevertheless be of significant interest to neuroscientists and researchers interested in neurodevelopment in relation to environmental factors because of its in-depth use of MRI to study brain plasticity in mice.

eLife Assessment

This study makes an important contribution by showing that humans adapt learning rates rationally to environmental volatility yet systematically misattribute noise as volatility, demonstrating approximate rationality with simplified internal models. The evidence is compelling, encompassing a cleverly designed volatility-versus-noise paradigm, innovative lesion-based comparisons between reinforcement-learning and degraded Bayesian Observer Models, and convergent behavioural and pupillometric data. Expanding formal model comparisons (e.g., BIC/AIC) and directly contrasting RL and Bayesian fits to physiological markers would further enhance the work, but these are minor limitations that do not detract from the core findings.

eLife Assessment

The authors provide a convincing summary of ten years of Brain Initiative funding including the historical development, the specific funding mechanisms, and examples of grants funded and work produced. It is particularly valuable at this moment in history, given the cataclysmic changes in the US government structure and function occurring in early 2025.

eLife Assessment

Based on several lines of interesting data, the authors conclude that FMRP, though associated with stalled ribosomes, does not determine the position on the mRNAs at which ribosomes stall. Although this conclusion would be valuable if clearly established, the current set of data are incomplete and it is unclear if the methodologies applied in this paper are fully adequate to address this gap.