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Record W3174831037 · doi:10.1139/cjz-2021-0031

Brain plasticity in response to short-term exposure to corticosterone in larval amphibians

2021· article· en· W3174831037 on OpenAlexvenueno aff
Madison T. Uhrin, Sara J. McClelland, Sarah K. Woodley

Bibliographic record

VenueCanadian Journal of Zoology · 2021
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAnimal Behavior and Reproduction
Canadian institutionsnot available
FundersOregon National Primate Research CenterDirectorate for Biological SciencesNational Institutes of HealthDuquesne University
KeywordsAmphibianBiologyCorticosteroneLeopard frogLarvaGlucocorticoidVertebrateStressorEndocrinologyHormoneZoologyInternal medicineEcologyNeuroscience

Abstract

fetched live from OpenAlex

Exposure to stressors and elevation of glucocorticoid hormones such as corticosterone (CORT) has widespread effects on vertebrate brain development. Previous studies have shown that exposure to environmental stressors alters larval amphibian brain morphology and behavior, yet the effects of CORT on amphibian brain morphology are still unknown. We exposed prometamorphic Northern Leopard Frog (Lithobates pipiens (Schreber, 1782)) tadpoles for 7 days to a concentration of exogenous CORT (45.56 μg/L) that produced physiologically relevant increases in plasma CORT. This brief exposure to CORT, relatively late in development, resulted in a significantly larger diencephalon width (relative to body mass) when compared with controls. Although we were unable to detect changes in behavior or body morphology, our results indicate that brain shape is modulated by exposure to CORT. More studies are needed to better understand what accounts for the CORT-induced change in brain shape as well as the functional consequences of these changes.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.026
GPT teacher head0.242
Teacher spread0.216 · 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 source (direct Gemma or distilled Codex), 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

Citations7
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Zoology→Same topicAnimal Behavior and Reproduction→French-language works237,207→