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Record W2113130879 · doi:10.1177/107385840000600514

Molecular Abnormalities in Brains of Depressed Patients

2000· article· en· W2113130879 on OpenAlexaff
Dar Dowlatshahi, L. Trevor Young

Bibliographic record

VenueThe Neuroscientist · 2000
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neuropharmacology Research
Canadian institutionsMcMaster University
Fundersnot available
KeywordsSerotonergicNeuropathologyNeurosciencePostsynaptic potentialDepression (economics)NeurotransmitterPostmortem studiesSignal transductionNeurotransmitter receptorMolecular neuroscienceNeurotransmitter systemsPsychologyMedicineBiologyCentral nervous systemSerotoninInternal medicineReceptorGeneticsDopamineDisease

Abstract

fetched live from OpenAlex

Studies on the molecular pharmacology of antidepressants have lead to a reinterpretation of earlier models of the neuropathology of depression. Noradrenergic and serotonergic hypotheses of depression have been expanded to include postsynaptic intracellular signal transduction pathways and regulation of gene expression. Because much of this evidence was obtained from postmortem brain, there has been increased interest in the use of this tissue to study depression. In the following pages, we will review the postmortem brain studies in depressed individuals focusing on neurotransmitter systems, signal transduction, and structural abnormalities.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.029
Threshold uncertainty score0.503

Codex and Gemma teacher scores by category

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

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 head0.027
GPT teacher head0.304
Teacher spread0.277 · 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 teacher head, 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

Citations1
Published2000
Admission routes1
Has abstractyes

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