Neuroscience

eLife Assessment

This important cross-species study tests whether the corpus callosum contains parallel, segregated pathways for ipsilateral and contralateral visual-field information, rather than mixed inputs from the two hemispheres. A major strength is its use of a combination of high-field functional magnetic resonance inaging and Bayesian population receptive field (pRF) modelling in humans with viral tracing in mice to offer complementary evidence for pathway segregation. At present, the evidence supporting the authors' claims is incomplete and would benefit from ruling out potential confounds that could mimic tract segregation in the human white-matter pRF data and the mouse anatomical tracing results, and from sharpening claims about laminar specificity.

eLife Assessment

This study presents valuable findings regarding cardiac and autonomic effects of seizures and epilepsy, with relevance to sudden unexpected death in epilepsy (SUDEP). They present solid evidence that genetic deletion of the potassium-chloride co-transporter in hypothalamic corticotropin-releasing hormone (CRH) neurons exacerbates bradycardia and enhances autonomic disturbances in a mouse model of temporal lobe epilepsy. However, the evidence that this deletion produces chronic hyperexcitability of the hypothalamic-pituitary-adrenal axis was incomplete, leaving a mechanistic gap. This work will be of interest to neuroscientists working on epilepsy, the HPA axis, and autonomic control.

eLife Assessment

This is a useful study, bolstering our understanding of spatial reference frames of visual perception. The high-resolution data and sophisticated analyses confirm and enhance earlier findings that visual representations operate in a predominantly retinotopic reference frame throughout the visual hierarchy in the human cortex. However, these analyses are currently incomplete, leaving open the possibility that eye-position gain and or spatiotopic representations may also be present.

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.