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Record W4409986475 · doi:10.1093/sleep/zsaf118

Parvalbumin-expressing neurons in the ventral medulla are active during wakefulness and promote NREM sleep

2025· article· en· W4409986475 on OpenAlexaff
Colin Cleary, George M. P. R. Souza, Stephen B.G. Abbott, Daniel K. Mulkey

Bibliographic record

VenueSLEEP · 2025
Typearticle
Languageen
FieldNeuroscience
TopicSleep and Wakefulness Research
Canadian institutionsAbbott (Canada)
FundersNational Heart, Lung, and Blood InstituteNational Institutes of Health
KeywordsWakefulnessNon-rapid eye movement sleepSleep (system call)NeuroscienceParvalbuminMedullaBiologyPsychologyMedicineElectroencephalographyEndocrinology

Abstract

fetched live from OpenAlex

A longstanding hypothesis contends that sleep is promoted by sleep-active inhibitory neurons that suppress arousal centers. Sleep may also be facilitated by mechanisms active during wakefulness; however, evidence for wake-active sleep-promoting neurons is scarce. Here, we use chemogenetics, fiber photometry, and circuit mapping to identify subset(s) of inhibitory neurons that promote NREM sleep. We targeted the ventrolateral retropontine (VLRP) region of the medulla because of its proximity to REM and NREM sleep centers. We found that selective activation of parvalbumin (VLRPPvalb) neurons but not somatostatin or cholecystokinin-expressing VLRP neurons resulted in NREM-like sleep. Interestingly, VLRPPvalb neurons are most active during natural wakefulness and send inhibitory projections to the parabrachial nucleus, which presumably underlies their sleep-promoting function. These results identify VLRPPvalb neurons as a potential source of wake-active inhibitory input to wake-promoting centers in the dorsolateral pons that serve to constrain arousal.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.464
Threshold uncertainty score0.687

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.027
GPT teacher head0.294
Teacher spread0.268 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2025
Admission routes1
Has abstractyes

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