Neuroscience

Decision-making components and times revealed by the single-trial electro-encephalogram

1. Gabriel Weindel
2. Jelmer P Borst
3. Leendert van Maanen

• Curated by eLife

  eLife Assessment

  This important study applies a novel signal decomposition method to disentangle distinct signals contributing to the decision-making process, and provides convincing evidence for the operation of separate sensory encoding, attentional orienting, and ramping evidence accumulation signals. These findings are consistent with previous work, except for the absence of a motor component, which may relate to limitations of the analysis approach.

Reviewed by eLife

A conserved Arf-GEF modulates axonal integrity through RAB-35 by altering neuron-epidermal attachment

1. Igor Bonacossa-Pereira
2. Sean Coakley
3. Massimo A. Hilliard

Reviewed by Review Commons

iGABASnFR2: Improved genetically encoded protein sensors of GABA

1. Ilya Kolb
2. Jeremy P Hasseman
3. Akihiro Matsumoto
4. Thomas P Jensen
5. Olga Kopach
6. Benjamin J Arthur
7. Yan Zhang
8. Arthur Tsang
9. Daniel Reep
10. Getahun Tsegaye
11. Jihong Zheng
12. Ronak H Patel
13. Loren L Looger
14. Jonathan S Marvin
15. Wyatt L Korff
16. Dmitri A Rusakov
17. Keisuke Yonehara
18. GENIE Project Team
19. Glenn C Turner

• Curated by eLife

  eLife Assessment

  This manuscript reports the development and characterization of iGABASnFR2, a genetically encoded GABA sensor that demonstrates substantially improved performance compared to its predecessor, iGABASnFR1. The work is comprehensive and methodologically rigorous, combining high-throughput mutagenesis, functional screening, structural analysis, biophysical characterization, and in vivo validation. The significance of the findings is fundamental, and the supporting evidence is compelling. iGABASnFR2 represents a notable advance in GABA sensor engineering, enabling enhanced imaging of GABA transmission both in brain slices and in vivo, and constitutes a timely, technically robust addition to the molecular toolkit for neuroscience research.

Reviewed by eLife, PREreview

The effects of 17α-estradiol treatment on endocrine system revealed by single-nucleus transcriptomic sequencing of hypothalamus

1. Lei Li
2. Guanghao Wu
3. Xiaolei Xu
4. Junling Yang
5. Lirong Yi
6. Ziqing Yang
7. Zheng Mo
8. Li Xing
9. Ying Shan
10. Zhuo Yu
11. Yinchuan Li

• Curated by eLife

  eLife Assessment

  This study demonstrates the potential role of 17α-estradiol in modulating neuronal gene expression in the aged hypothalamus of male rats, identifying key pathways and neuron subtypes affected by the drug. While the findings are useful and provide a foundation for future research, the strength of supporting evidence is incomplete due to the lack of female comparison, a young male control group, unclear link to 17α-estradiol lifespan extension in rats, and insufficient analysis of glial cells and cellular stress in CRH neurons.

Reviewed by eLife

Correlation detection as a stimulus computable account for audiovisual perception, causal inference, and saliency maps in mammals

1. Cesare V Parise

• Curated by eLife

  eLife Assessment

  This important study evaluates a model for multisensory correlation detection, focusing on the detection of correlated transients in visual and auditory stimuli. Overall, the experimental design is sound and the evidence is compelling. The synergy between the experimental and theoretical aspects of the article is strong, and the work will be of interest to both neuroscientists and psychologists working in the domain of sensory processing and perception

Reviewed by eLife

Modality-Agnostic Decoding of Vision and Language from fMRI

1. Mitja Nikolaus
2. Milad Mozafari
3. Isabelle Berry
4. Nicholas Asher
5. Leila Reddy
6. Rullen VanRullen

• Curated by eLife

  eLife Assessment

  This manuscript introduces a potentially valuable large-scale fMRI dataset pairing vision and language, and employs rigorous decoding analyses to investigate how the brain represents visual, linguistic, and imagined content. The current manuscript blurs the line between a resource paper and a theoretical contribution, and the evidence for truly modality-agnostic representations remains incomplete at this stage. Clarifying the conceptual aims and strengthening both the dataset technicality and the quantitative analyses would improve the manuscript's significance for the fields of cognitive neuroscience and multimodal AI.

Reviewed by eLife

A Forebrain Hub for Cautious Actions via the Midbrain

1. Ji Zhou
2. Muhammad S Sajid
3. Sebastian Hormigo
4. Manuel A Castro-Alamancos

• Curated by eLife

  eLife Assessment

  This useful study uses fiber photometry, implantable lenses, and optogenetics to show that a subset of subthalamic nucleus neurons is active during movement, and that active but not passive avoidance depends in part on STN projections to substantia nigra. The strength of the evidence for these claims is solid, whereas evidence supporting the claims that STN is involved in cautious responding or the speed of avoidance is incomplete. This paper will be of interest to basic and applied behavioural neuroscientists working on avoidance if suitably streamlined to support the strongest claims.

Reviewed by eLife

Pathogenic O-GlcNAc dyshomeostasis associated with cortical malformations and hyperactivity

1. Florence Authier
2. Asad Jan
3. Islam Faress
4. Christian Stald Skoven
5. Iria Esperon-Abril
6. Shagana Tharmakulasingam Balasubramaniam
7. Kévin-Sébastien Coquelin
8. Jens R Nyengaard
9. Carsten Scavenius
10. Benedetta Attianese
11. Oscar G Sevillano-Quispe
12. Simon Fristed Eskildsen
13. Jesper Skovhus Thomsen
14. Brian Hansen
15. Daan MF van Aalten

• Curated by eLife

  eLife Assessment

  This is an important study that takes a key step towards understanding developmental disorders linked to mutations in the O-GlcNAc transferase enzyme by generating a mouse model harboring the C921Y mutation. The study thoroughly examines behavioral and anatomical differences in these mice and finds behavioral hyperactivity and learning/memory deficits, as well as phenotypic differences in skull and brain formation. However, the experimental evidence is incomplete owing to discrepancy in OGT protein/RNA levels in the C921Y mutant mice in this paper and the previous paper ("Neurodevelopmental defects in a mouse model of O-GlcNAc transferase intellectual disability "). This line of research will benefit from investigation of the differences in associated glycoproteins and mechanistic insights. This study will be of interest to those studying neurodevelopment, learning and behavior, or associated brain mechanisms.

Reviewed by eLife

Psychedelics Align Brain Activity with Context

1. Devon Stoliker
2. Leonardo Novelli
3. Moein Khajehnejad
4. Mana Biabani
5. Tamrin Barta
6. Matthew D. Greaves
7. Martin Williams
8. Sidhant Chopra
9. Olivier Bazin
10. Otto Simonsson
11. Richard Chambers
12. Frederick Barrett
13. Gustavo Deco
14. Katrin H. Preller
15. Robin Carhart-Harris
16. Anil Seth
17. Suresh Sundram
18. Gary F. Egan
19. Adeel Razi

Reviewed by preLights

Listening to the room: disrupting activity of dorsolateral prefrontal cortex impairs learning of room acoustics in human listeners

1. Heivet Hernández-Pérez
2. Jason Mikiel-Hunter
3. James Traer
4. Jessica JM Monaghan
5. Paul F Sowman
6. David McAlpine

• Curated by eLife

  eLife Assessment:

  This study addresses valuable questions about the neural mechanisms underlying statistical learning of room acoustics, combining robust behavioral measures with non-invasive brain stimulation. The behavioral findings are strong and extend previous work in psychoacoustics, but the TMS results are modest, with methodological limitations and over-interpretation that weaken the mechanistic conclusions. The strength of evidence is therefore incomplete, and a more cautious interpretation of the stimulation findings, alongside strengthened analyses, would improve the manuscript.

Reviewed by eLife