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Record W4386574921 · doi:10.1016/j.neures.2023.09.003

Regulation of REM sleep in mice: The role of dopamine and serotonin function in the basolateral amygdala

2023· article· en· W4386574921 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueNeuroscience Research · 2023
Typearticle
Languageen
FieldNeuroscience
TopicSleep and Wakefulness Research
Canadian institutionsnot available
FundersPrecursory Research for Embryonic Science and TechnologyJapan Science and Technology AgencyJapan Society for the Promotion of ScienceEastern HealthJapan Agency for Medical Research and DevelopmentTakeda Science Foundation
KeywordsNon-rapid eye movement sleepBasolateral amygdalaSleep (system call)SerotoninNeuroscienceNeuroscience of sleepRapid eye movement sleepDopamineAmygdalaPsychologySleep spindleSlow-wave sleepEye movementMedicineInternal medicineElectroencephalographyReceptor

Abstract

fetched live from OpenAlex

Animals have a sleep cycle that involves the repetitive occurrence of non-rapid eye movement (NREM) sleep and rapid eye movement (REM) sleep. In a previous study, we discovered that a transient increase in dopamine (DA) levels in the basolateral amygdala (BLA) during NREM sleep terminates NREM sleep and initiates REM sleep by acting on Drd2-positive neurons (Hasegawa et al., 2022). In this study, we identified the neurons activated by the transient increase of DA in the BLA and found that chemogenetic excitation of these neurons increased REM sleep. Additionally, we demonstrated that acute inhibition of serotonin (5HT) in the BLA elicited a transient increase in DA in the BLA, which triggered REM sleep.

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.

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)0.005
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.621
Threshold uncertainty score0.363

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.007
Science and technology studies0.0000.001
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 head0.088
GPT teacher head0.366
Teacher spread0.278 · 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