eLife

Latest preprint reviews

1. We couldn't get details of this article at this time:
   10.1101/2025.07.16.665219

2. We couldn't get details of this article at this time:
   10.1101/2025.09.03.25334846

3. Alpha rhythm subharmonics underlie responsiveness to theta burst stimulation via calcium metaplasticity

   This article has 9 authors:

   1. Kevin Kadak
   2. Davide Momi
   3. Zheng Wang
   4. Sorenza P Bastiaens
   5. Mohammad P Oveisi
   6. Taha Morshedzadeh
   7. Minarose Ismail
   8. Jan Fousek
   9. John D Griffiths

   This article has been curated by 1 group:

   • Curated by eLife

     eLife Assessment

     This useful study provides a well-constructed computational investigation of how intermittent theta-burst stimulation (iTBS) influences synaptic plasticity within the corticothalamic circuit, improving our mechanistic understanding of how stimulation parameters interact with intrinsic brain oscillations. The authors build a corticothalamic population model that generates individual alpha rhythms with a calcium-dependent metaplasticity rule, and provide solid evidence that aligning stimulation frequencies to brain-intrinsic oscillatory subharmonics enhances plasticity effects. This insight could open a route toward personalized, more effective stimulation protocols.

   Reviewed by eLife

4. Developmental prosopagnosics have normal spatial integration in posterior ventral face-selective regions

   This article has 6 authors:

   1. Daniel A Stehr
   2. Yiyuan Zhang
   3. Anusha Patgiri
   4. Alexis Kidder
   5. Kendrick Kay
   6. Bradley Duchaine

   This article has been curated by 1 group:

   • Curated by eLife

     eLife Assessment

     This functional MRI study critically tests the hypothesis that poor face recognition in developmental prosopagnosia in humans is driven by reduced spatial integration and smaller receptive fields in face-selective brain regions. The evidence provided is compelling as it is well-powered, uses state-of-the-art functional brain imaging, eye tracking, and computational analyses. The observed lack of difference in population receptive field sizes between face-selective brain regions of individuals with and without prosopagnosia, though a null result, has important implications for the field, and specifically, for theories of face recognition.

   Reviewed by eLife

5. ATP-independent phosphate recycling on AGC kinase activation loops induced by alkali metal ions

   This article has 2 authors:

   1. Koji Kubouchi
   2. Hideyuki Mukai

   This article has been curated by 1 group:

   • Curated by eLife

     eLife Assessment

     AGC kinases, such as PKN1, are regulated by activation loop phosphorylation. This paper reports that exposing cells to high concentrations of monovalent cations induces rapid activation loop dephosphorylation, with rapid re-phosphorylation when physiological salt is restored. Re-phosphorylation is apparently independent of ATP or candidate kinases, and the paper presents an extraordinary and unconventional mechanism involving phosphate exchange between the activation loop and an unknown acceptor molecule. The findings are intriguing and the approach is logical, but the evidence is incomplete and the significance unclear until the biochemical mechanism is identified.

   Reviewed by eLife

6. Overcoming distortion in multidimensional predictive representation

   This article has 2 authors:

   1. Euan Prentis
   2. Akram Bakkour

   This article has been curated by 1 group:

   • Curated by eLife

     eLife Assessment

     This manuscript makes a valuable contribution to understanding learning in multidimensional environments with spurious associations, which is critical for understanding learning in the real world. The evidence is based on model simulations and a preregistered human behavioral study, but remains incomplete because of inconclusive empirical results and insufficiencies in the modeling. Moreover, there are open questions about the nature and extent to which the behavioral task induced semantic congruency.

   Reviewed by eLife

7. We couldn't get details of this article at this time:
   10.1101/2025.01.27.634647

8. CNN-based learning of single-cell transcriptomes reveals a blood-detectable multi-cancer signature of brain metastasis

   This article has 4 authors:

   1. Ryan Lusby
   2. Debojyoti Chowdhury
   3. Sarah Carl
   4. Vijay K Tiwari

   This article has been curated by 1 group:

   • Curated by eLife

     eLife Assessment

     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 uncovers key molecular mechanisms, highlights potential therapeutic targets, and demonstrates a metastasis-specific transcriptional signal in circulating platelets, suggesting its promise for non-invasive diagnostics through liquid biopsy. The evidence supporting the findings is solid, utilizing interpretable deep learning methodologies and large-scale datasets across multiple cancer types, though some aspects may benefit from additional analysis and validation.

   Reviewed by eLife

9. We couldn't get details of this article at this time:
   10.1101/2025.09.18.677005

10. We couldn't get details of this article at this time:
    10.1101/2025.08.29.672645