MétaCan
Menu
Back to cohort
Record W7061695324

Role for serotonergic neurons of the parapyramidal region in the control of locomotion revealed using chemogenetic activation in Tph2-cre driver rats

2018· dissertation· en· W7061695324 on OpenAlexaff

Bibliographic record

VenueMspace (University of Manitoba) · 2018
Typedissertation
Languageen
FieldEngineering
TopicSuperconducting Materials and Applications
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsSerotonergicBrainstemHindlimbNeurotransmissionMedullaReceptorPremovement neuronal activityCentral pattern generatorMedulla oblongataInhibitory postsynaptic potential
DOInot available

Abstract

fetched live from OpenAlex

Several brainstem regions are necessary to provide transmission of a descending signal to motor networks within the lower the limbs. The Parapyramidal region (PPR) within the ventrolateral medulla appears to play an important but yet unspecified role in locomotion. The recent advent of DREADDs (Designer Receptors Exclusively Activated by Designer Drugs) has allowed for non-invasive in vivo manipulation of neurons. DREADDs were stereotaxically injected into the PPR using adeno-associated viral vectors (AAVs). After a recovery period, rats were tested in both voluntary (open field) and fictive locomotion experiments to evaluate motor activity after administration of the DREADD actuator. Immunohistochemical detection confirmed DREADDs within the PPR. Locomotor activity increased significantly (172%) after DREADD activation during open field locomotor testing. With electrical stimulation, burst duration was significantly increased (174%) in flexor hindlimb nerves. Chemogenetic activation of the PPR seems to facilitate hindlimb motor output but specific effects on fictive locomotion were inconclusive.

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 score0.707
Threshold uncertainty score0.998

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 head0.018
GPT teacher head0.210
Teacher spread0.191 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueMspace (University of Manitoba)Same topicSuperconducting Materials and ApplicationsFrench-language works237,207