Effects of Anodal Transcranial Direct Current Stimulation (tDCS) Preconditioning Combined with Arachydonilcyclopropylamide (ACPA) on Exploratory Locomotion in Male Mice
Bibliographic record
Abstract
Background: When confronting with an unfamiliar environment, animals exert orderly and complex behaviors called exploration. Locomotion is the most important part of exploratory behavior, but the principles of this behavior have not been fully understood yet. Here we studied the effects of the frontal region preconditioning with right and left frontal anodal transcranial direct current stimulation (tDCS) combined with the cannabinoid CB1 receptor agonist, arachydonilcyclopropylamide (ACPA) on locomotion in NMRI male mice. Materials and Methods: This study was carried out with 12 groups of NMRI mice (each group consisted of 8 mice), which were divided into 3 categories of ACPA alone, right, and left frontal anodal tDCS combined with ACPA. Anodal tDCS (with a current intensity of 0.2 mA for 20 minutes) was performed one day prior to ACPA intraperitoneal injection (0.01,0.05,0.1 mg/kg) and 15 minutes after injection the exploratory locomotion test was carried out. Results: The data showed that right frontal anodal tDCS combined with 0.01 and 0.05 mg/kg of ACPA and left frontal anodal tDCS combined with 0.05 mg/kg ACPA increased exploratory locomotion. Conclusions: Our finding suggested that combined implementation of right and left anodal tDCS and ACPA exerted anxiolytic properties and could increase exploratory related locomotion.[GMJ. 2016;5(4):173-79]
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".