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Record W7132861477

Dissecting Cortical Dopamine D2 Receptor: from mapping to circuit-specific function

2024· dissertation· W7132861477 on OpenAlexfundno aff
Clementine Anne Quintana

Bibliographic record

VenueTSpace · 2024
Typedissertation
Language
FieldNeuroscience
TopicNeurotransmitter Receptor Influence on Behavior
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchNational Alliance for Research on Schizophrenia and Depression
KeywordsDopamine receptor D2DopaminePrefrontal cortexTransgeneMediatorDopamine transporterCognitionNeuropharmacology
DOInot available

Abstract

fetched live from OpenAlex

The dopamine D2 receptor (D2R), as a critical mediator of dopamine actions, is involved in a variety of central nervous system functions ranging from motor control to complex cognitive processes. In line with these multiple functions, D2Rs are implicated in the pathophysiology of movement and psychiatric disorders, such as Parkinson’s disease and schizophrenia, and are a major target for several pharmacological treatments. While the general behavioral contributions of striatal D2R are well understood, the neuroanatomical correlation of cortical D2R functions are operationally biased by limitation of experimental approaches such as low mRNA expression, ligand selectivity, or based on the inefficiency of gene reporter systems. In this work we first established a complete cortex-wide map of D2R expressing cells by using a transgenic mouse carrying a high sensitivity digital reporter for D2R expression. We uncovered several previously uncharacterized neuronal clusters expressing D2R in cortical regions and their cell-type specificity which may provide valuable information for the in vivo study of cortical D2Rs and their impact in dopamine associated disorders. Second, we focused on the role of D2R in the medial prefrontal cortex (mPFC), a key region known to play a role in cognitive functions that contribute to appropriate goal-directed and flexible behaviour. By using amphetamine administration to model a classic pharmacological representation of psychomotor agitation, we discovered an unexpected involvement of mPFC D2R regulation on motor behavioral outcomes. This study highlights the possible implication of D2R regulation in the mPFC in the development of neuropsychiatric disorders and in the effectiveness of antipsychotics to treat positive symptoms in schizophrenia. Finally, we describe how selective silencing of D2R in the mPFC revealed the engagement of a top-down prefronto-striatal network that controls the regulation of striatal cholinergic microcircuitry and leads to the suppression of inappropriate psychomotor responses. Overall, this thesis sheds light on improved distinction of regional and cell-type specific D2R distribution and function that may provide better understanding of D2R impact contributing to the diverse symptomatology of neuropsychiatric disorders. We also provide evidence of the utility of precision targeted strategies using intersectional CRISPR/Cas9 methodology for the interrogation of circuit specific functions of D2R.

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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.070
GPT teacher head0.335
Teacher spread0.265 · 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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

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