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Record W4396750550 · doi:10.1016/j.celrep.2024.114187

Dopamine-sensitive neurons in the mesencephalic locomotor region control locomotion initiation, stop, and turns

2024· article· en· W4396750550 on OpenAlexafffund
Andrea Juárez Tello, Cornelis Immanuel van der Zouwen, Léonie Dejas, Juan Duque‐Yate, Joël Boutin, Katherine Medina-Ortiz, Jacinthlyn Sylvia Suresh, Jordan Swiegers, Philippe Sarret, Dimitri Ryczko

Bibliographic record

VenueCell Reports · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicZebrafish Biomedical Research Applications
Canadian institutionsCentre Hospitalier Universitaire de SherbrookeUniversité de Sherbrooke
FundersFaculté de médecine et des sciences de la santé, Université de SherbrookeEuropean Research CouncilFonds de Recherche du Québec - SantéNatural Sciences and Engineering Research Council of CanadaHorizon 2020Canadian Institutes of Health ResearchH2020 European Research CouncilCentre Hospitalier Universitaire de QuébecFondation du CHUMCanada Foundation for InnovationHorizon 2020 Framework Programme
KeywordsDopaminergicDopamineMidbrainNeuroscienceBasal gangliaBiologyIndirect pathway of movementDirect pathway of movementLocomotor activityCentral nervous systemEndocrinology

Abstract

fetched live from OpenAlex

The locomotor role of dopaminergic neurons is traditionally attributed to their ascending projections to the basal ganglia, which project to the mesencephalic locomotor region (MLR). In addition, descending dopaminergic projections to the MLR are present from basal vertebrates to mammals. However, the neurons targeted in the MLR and their behavioral role are unknown in mammals. Here, we identify genetically defined MLR cells that express D 1 or D 2 receptors and control different motor behaviors in mice. In the cuneiform nucleus, D 1 -expressing neurons promote locomotion, while D 2 -expressing neurons stop locomotion. In the pedunculopontine nucleus, D 1 -expressing neurons promote locomotion, while D 2 -expressing neurons evoke ipsilateral turns. Using RNAscope, we show that MLR dopamine-sensitive neurons comprise a combination of glutamatergic, GABAergic, and cholinergic neurons, suggesting that different neurotransmitter-based cell types work together to control distinct behavioral modules. Altogether, our study uncovers behaviorally relevant cell types in the mammalian MLR based on the expression of dopaminergic receptors.

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)0.000
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 score0.792
Threshold uncertainty score0.293

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.011
GPT teacher head0.267
Teacher spread0.256 · 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

Citations18
Published2024
Admission routes2
Has abstractyes

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