Measuring the integrity of the dopamine system in rats with [<sup>11</sup>C]dihydrotetrabenazine: MicroPET vs phosphor imaging autoradiography
Bibliographic record
Abstract
Positron emission tomography (PET) is a powerful tool for in vivo imaging of brain function in human and non-human primates and more recently in small animals such as rodents. As in human subjects, in vivo microPET can be used to evaluate longitudinally the extent of lesions or the effects of pharmacological challenges or potential therapies in animal models of diseases. It is however important to validate and correlate the in vivo data against currently used methods, either behavioural or post mortem assessments. Using the 6-OHDA model of Parkinson's Disease and [11C]()dihydro-tetrabenazine (DTBZ), a tracer of the striatal dopaminergic (DA) terminals not sensitive to regulation as an index of lesion severity, we compared, in the same animals, in vivo data from a Concord microPET R4 scanner to in vitro autoradiography with the same tracer and to in vivo behavioral evaluation with a test known to be sensitive to moderate to severe nigro-striatal lesions and not requiring pharmacological challenges, the tapered ledged beam walking test (TLBWT). Adult male Sprague-Dawley rats with a wide range of 6-OHDA-induced DA nigro-striatal lesions were tested in the TLBWT test, scanned with DTBZ (100 mC/100 gr body weight; SA>500 Ci/mmole) under ketamine anesthesia, before being sacrificed for phosphor imaging autoradiography. For microPET imaging, the ratio of striatal/cerebellar activity was calculated between 30 and 60 min post tracer injection. In vitro binding was performed by incubating 20 um coronal sections in 5 nM DTBZ. Specific binding was calculated as (total binding)-(non-specific binding). The data were converted in pmol/cc tissue using standard curves and the specific activity at incubation 1. The number of hindlimb errors in the narrow beam of TLBWT was used as the behavioral measure of interest. The in vivo and in vitro DTBZ binding were significantly correlated (r = 0.71). Neither in vivo nor in vitro DTBZ binding correlated significantly with the behavioral scores, likely because behavioral deficits were detected in only the most severely lesioned animals. In summary, although microPET DTBZ binding was more sensitive to mild lesions than the behavioral scores, the mildest lesions were more easily identified with in vitro DTBZ binding. In addition, as expected due to its greater spatial resolution, autoradiography allowed better structure (caudate vs putamen vs accumbens for example) identification than microPET. However, the good correlation between in vivo and in vitro binding data suggests that DTBZ/microPET imaging is an excellent tool to assess in vivo the severity of lesions of the DA system in animal models of PD and associated disorders. It also suggests that post-mortem evaluation remains a needed confirmation when actual extent and location of the lesions are important parameters of a study.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".