Latest preprint reviews

  1. Identifying Novel Estrogenic Mitochondrial Targets in Hypothalamic Proopiomelanocortin Neurons by Chemoproteomics

    This article has 18 authors:
    1. Jian Qiu
    2. Martha A. Bosch
    3. Mya Wolfe
    4. Ksenija Korac
    5. Stefano Rizzo
    6. Todd L. Stincic
    7. Scotland E. Farley
    8. Wendy Fitzgerald
    9. Megha Rajendran
    10. Aurélien Laguerre
    11. Frank Stein
    12. Philip F. Copenhaver
    13. Oline K. Rønnekleiv
    14. Sean M. Rønnekleiv-Kelly
    15. Tatiana K. Rostovtseva
    16. Sergey M. Bezrukov
    17. Carsten Schultz
    18. Martin J. Kelly
    This article has been curated by 1 group:
    • Curated by eLife

      eLife Assessment

      This useful study employs an innovative chemoproteomic and multi-modal experimental approach to support VDAC2 as a key functional mediator of STX effects on mitochondrial bioenergetics. However, concerns remain regarding the physiological and disease relevance, including the reliance on cell lines, lack of loss-of-function validation, unresolved binding specificity, and limited justification for focusing on POMC neurons in the context of Alzheimer's disease. As a result, the evidence is incomplete for a link between VDAC2 and Alzheimer's pathogenesis, and aspects of the binding data raise alternative interpretations, including a potential role for other VDAC isoforms.

    Reviewed by eLife

    This article has 3 evaluationsAppears in 1 listLatest version Latest activity
  2. Closed-loop neurofeedback reshapes preparatory brain states to bias subsequent pain processing

    This article has 8 authors:
    1. Yinhua Zhang
    2. Shuang Qiu
    3. Qianqian Zheng
    4. Shihao Chen
    5. Jia Li
    6. Xiaoyun Li
    7. Richu Jin
    8. Weiwei Peng
    This article has been curated by 1 group:
    • Curated by eLife

      eLife Assessment

      In this valuable study, Zhang et al. investigated EEG neurofeedback as a method to modulate brain activity prior to painful stimulation and examined its effect on pain perception in a well-powered, double-blind study. Results showed that real, but not sham, feedback enabled learning-dependent enhancement of pre-stimulus α oscillations. However, the evidence for a neurofeedback-specific reduction in pain remains incomplete, as the current paradigm cannot distinguish between genuine neurofeedback effects and placebo effects. Nonetheless, this work is likely to be of interest to researchers in the fields of neurofeedback and pain.

    Reviewed by eLife

    This article has 3 evaluationsAppears in 1 listLatest version Latest activity
  3. A shared neural code for gender across faces, bodies, and objects in the human brain

    This article has 7 authors:
    1. Wenjie Liu
    2. Xiqian Lu
    3. Yuhui Cheng
    4. Ruidi Wang
    5. Xinquan Lu
    6. Xiangyong Yuan
    7. Yi Jiang
    This article has been curated by 1 group:
    • Curated by eLife

      eLife Assessment

      This important study investigates whether perceived gender is represented in the brain in a category-invariant manner across faces, bodies, and objects, identifying the right middle temporal gyrus (rMTG) as a potential locus. The evidence is incomplete due to major conceptual concerns, weak statistical methods, and unaddressed low-level confounds like stimulus size and motion. This work will be of interest to psychology and social neuroscience researchers in face and person perception literature, provided the authors temper their claims regarding abstract representation.

    Reviewed by eLife

    This article has 4 evaluationsAppears in 1 listLatest version Latest activity
  4. Reproductive experience promotes permanent body growth independently of growth hormone

    This article has 13 authors:
    1. Gabriel O. de Souza
    2. Willian O. dos Santos
    3. Frederick Wasinski
    4. Ligia M. M. de Sousa
    5. Andressa G. Amaral
    6. Daniela O. Gusmao
    7. Edward O. List
    8. John J. Kopchick
    9. Gimena Fernandez
    10. Mario Perelló
    11. Carla R. P. Oliveira
    12. Manuel H. Aguiar-Oliveira
    13. Jose Donato
    This article has been curated by 1 group:
    • Curated by eLife

      eLife Assessment

      This important study reports a novel phenomenon of maternal growth during pregnancy that is independent of growth hormone (GH), adding a new dimension to maternal biology of reproduction. The evidence is convincing and supported by state-of-the-art methodologies conducted in mice and persuasive observations in humans with hereditary isolated GH deficiency. Revised discussion should focus on possible mechanisms, including the role of IGF2, and on directions for future research.

    Reviewed by eLife

    This article has 4 evaluationsAppears in 1 listLatest version Latest activity
  5. Hierarchical Neural Circuit Theory of Normalization and Inter-areal Communication

    This article has 4 authors:
    1. Asit Pal
    2. Shivang Rawat
    3. David J. Heeger
    4. Stefano Martiniani
    This article has been curated by 1 group:
    • Curated by eLife

      eLife Assessment

      This important study extends a model of cortical normalization (ORGaNICs) to interacting cortical areas and shows that communication through coherence and communication subspaces can arise from a single set of dynamics. The evidence is solid, showing analytically that contrast-dependent gamma dynamics and a low-dimensional inter-areal communication subspace arise from one parameter set, though the comparisons to data remain qualitative and the analytics rest on a linearization that is not checked against numerical simulation. The work will interest neuroscientists and theorists concerned with inter-areal communication, cortical oscillations, and divisive normalization.

    Reviewed by eLife

    This article has 4 evaluationsAppears in 1 listLatest version Latest activity
  6. Frequency dynamics predict viral fitness, antigenic relationships and epidemic growth

    This article has 2 authors:
    1. Marlin D Figgins
    2. Trevor Bedford
    This article has been curated by 1 group:
    • Curated by eLife

      eLife Assessment

      In this important work, the authors develop methods to forecast epidemic growth from viral sequencing data alone. The evidence for the usefulness of the approach is solid, but some justifications and methodological details are incomplete. This study should be of broad interest to the community interested in viral dynamics and epidemiology.

    Reviewed by eLife

    This article has 4 evaluationsAppears in 1 listLatest version Latest activity
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