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Record W1994450359 · doi:10.1038/sj.jcbfm.9591524.0650

Measuring the integrity of the dopamine system in rats with [<sup>11</sup>C]dihydrotetrabenazine: MicroPET vs phosphor imaging autoradiography

2005· article· en· W1994450359 on OpenAlexaff
Elissa M. Strome, Ivan L. Cepeda, Doris J. Doudet

Bibliographic record

VenueJournal of Cerebral Blood Flow & Metabolism · 2005
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neuropharmacology Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsTetrabenazineIn vivoNuclear medicinePositron emission tomographyDopamineDopaminergicMedicineChemistryPathologyEndocrinologyInternal medicineNeurosciencePsychologyBiology

Abstract

fetched live from OpenAlex

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.

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 score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.020
GPT teacher head0.252
Teacher spread0.233 · 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".

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Citations0
Published2005
Admission routes1
Has abstractyes

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