Neuroscience

Remote automated delivery of mechanical stimuli coupled to brain recordings in behaving mice

1. Justin Burdge
2. Anissa Jhumka
3. Ashar Khan
4. Simon Ogundare
5. Nicholas Baer
6. Sasha Fulton
7. Alexander Kaplan
8. Brittany Bistis
9. William Foster
10. Joshua Thackray
11. Andre Toussaint
12. Miao Li
13. Yosuke M Morizawa
14. Jake Nazarian
15. Leah Yadessa
16. Arlene J George
17. Abednego Delinois
18. Wadzanayi Mayiseni
19. Noah Loran
20. Guang Yang
21. David J Margolis
22. Victoria E Abraira
23. Ishmail Abdus-Saboor

• Curated by eLife

  eLife Assessment

  This important study describes the development and validation of an Automated Reproducible Mechano-stimulator (ARM), a tool for standardizing and automating tactile behavior experiments. The data supporting the use of the ARM system are compelling, and demonstrate that by removing experimenter effects on animals, it reduces variability in various parameters of stimulus application. Moreover, the authors demonstrate that any noise emitted from the ARM does not induce an increased stress state. Once commercially available, the ARM system has the potential to increase experimental reproducibility between laboratories in the somatosentation and pain fields.

Reviewed by eLife

RubyACRs Enable Red-Shifted Optogenetic Inhibition in Freely Behaving Drosophila

1. Daniel Bushey
2. Hiroshi Shiozaki
3. Yichun Shuai
4. Jihong Zheng
5. Vivek Jayaraman
6. Jeremy P Hasseman
7. Ilya Kolb
8. GENIE Project Team
9. Glenn C Turner

• Curated by eLife

  eLife Assessment

  This important work describes the adaptation and evaluation of two red-shifted anion channelrhodopsins (RubyACRs) for optogenetic inhibition in Drosophila. The study provides convincing evidence for the effectiveness of RubyACRs in fly neurons, including electrophysiology, calcium imaging, and behavioral analysis. With minor revisions to address potential toxicity and compatibility with 2-photon imaging, this paper and the publicly available fly lines it describes will be resources that are of value to the neuroscience community.

Reviewed by eLife

Misclassification in memory modification in AppNL-G-F knock-in mouse model of Alzheimer’s disease

1. Mei-Lun Huang
2. Yusuke Suzuki
3. Hiroki Sasaguri
4. Takashi Saito
5. Takaomi C Saido
6. Itaru Imayoshi

• Curated by eLife

  eLife Assessment

  This valuable study employs a formalized computational model of learning to assess memory deficits in Alzheimer's Disease with the goal of developing an early diagnosis tool. Using an established mouse model of the disease, the authors studied multiple behavioral tasks and ages with the goal of showing similarities in behavioral deficits across tasks. Using the model, the authors indicate specific deficits in memory (overgeneralization and over differentiation) in mice with the transgene for the disease. The evidence presented is solid, yet certain concerns remain regarding the interpretation of the results of the modeling.

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

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

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

Astrocytic modulation of population encoding in mouse visual cortex via GABA transporter 3 revealed by multiplexed CRISPR/Cas9 gene editing

1. Jiho Park
2. Grayson O Sipe
3. Xin Tang
4. Prachi Ojha
5. Giselle Fernandes
6. Yi Ning Leow
7. Caroline Zhang
8. Yuma Osako
9. Arundhati Natesan
10. Gabrielle T Drummond
11. Rudolf Jaenisch
12. Mriganka Sur

• Curated by eLife

  eLife Assessment

  In this manuscript, Park et al. developed a multiplexed CRISPR construct to genetically ablate the GABA transporter GAT3 in the mouse visual cortex, with effects on population-level neuronal activity. This work is important, as it sheds light on how GAT3 controls the processing of visual information. The findings are compelling, leveraging state-of-the-art gene CRISPR/Cas9, in vivo two-photon laser scanning microscopy, and advanced statistical modeling.

Reviewed by eLife