The anterior cingulate ERK pathway contributes to regulation of behavioral excitement and hedonic activity
Bibliographic record
Abstract
OBJECTIVES: Several intracellular signaling cascades, such as the extracellular signal-regulated kinase (ERK), Wnt-signaling/GSK-3, PLC/PKC, and PI3K pathways, have been shown to be affected directly or indirectly by mood stabilizers. Clinical imaging studies reveal that mood disorders are associated with structural and/or metabolic changes in specific brain regions such as the anterior cingulate cortex (ACC). Here we investigated the extent to which perturbation of one of the affected pathways, the ERK pathway, in the ACC influences affective-related behavior. METHODS: The regional perturbation was induced by two means: local continuous infusion of PD98059, an ERK pathway inhibitor, and microinjection of a lentiviral-mediated gene delivery system encoding functional negative ERK1. The outcomes were monitored with a battery of affective-related tests similar to those used in several previous studies. RESULTS: Compared to their respective controls, rats infused with PD98059 or injected with the lentiviral negative ERK1 construct displayed hyperactivities in multiple tests, exhibited preferentially more open-arm activity in the elevated-plus-maze test, consumed more sweetened liquid in a saccharin preference test, and showed heightened response to amphetamine. CONCLUSIONS: These data support a role for the ACC ERK pathway in the regulation of affective-related behaviors. However, the medial prefrontal cortex (mPFC) comprises at least three other regions that will need to be similarly examined before specific roles of the ACC ERK pathway can be definitively attributed to affective behaviors. Additionally, responses of other signaling pathways to mood stabilizers in these mPFC regions, as well as the limbic regions to which they project, will be important to examine.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".