Changes in brain functional connectivity after chronic haloperidol in rats: a network analysis
Bibliographic record
Abstract
Although the effects of haloperidol (HAL) have been extensively examined in experimental animals at the cellular and brain regional levels, the effects of prolonged HAL treatment on functional connectivity in the brain have not yet been addressed. Here we used expression of the immediate early gene zif268 as a marker of neural activity to examine changes in brain regional interactivity after 12 wk of HAL treatment in rats. zif268 expression was measured by in situ hybridization in 83 brain regions of HAL- and vehicle (VEH)-treated controls and correlations among all brain regions were computed separately for the two treatment groups. The strongest correlations in each group were used for network construction. It was found that VEH and HAL networks were equally segregated and integrated, and that both networks display small world organization. Compared to the VEH network, the HAL network showed enhanced interactivity between the dorsolateral striatum and thalamus, and between different subdivisions of the thalamus. It will be of interest to determine the extent to which the observed changes in functional connectivity may be related to dyskinesias, to changes in motivated behaviours and/or to the therapeutic effects of chronic HAL. By identifying the connectivity features of a chronic HAL network in the absence of other manipulations, the current findings may provide a reference signature pattern to be targeted in future efforts to discriminate between the neural bases of different behavioural outcomes arising from chronic HAL treatment.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".