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Record W2146801648 · doi:10.1177/0883073812439752

Synaptogenesis in the Fetal Corpus Striatum, Globus Pallidus, and Substantia Nigra

2012· article· en· W2146801648 on OpenAlexaff
Harvey B. Sarnat, Roland N. Auer, Laura Flores‐Sarnat

Bibliographic record

VenueJournal of Child Neurology · 2012
Typearticle
Languageen
FieldMedicine
TopicNeurological disorders and treatments
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineAlberta Children's HospitalUniversité de MontréalUniversity of Calgary
Fundersnot available
KeywordsGlobus pallidusSubstantia nigraPutamenStriatumSynaptogenesisBasal gangliaCaudate nucleusNeuroscienceBiologySynaptophysinVentral striatumMedium spiny neuronDopamineInternal medicineMedicineCentral nervous systemDopaminergicImmunohistochemistry

Abstract

fetched live from OpenAlex

Synaptogenesis can be detected in tissue sections by immunoreactivity for synaptophysin, a synaptic vesicle glycoprotein that serves as a marker of synaptic maturation. Reactivity was prospectively studied postmortem in sections of the striatum, globus pallidus, and substantia nigra in 172 normal human fetuses and neonates of 6 to 41 weeks' gestation. Caudate nucleus and putamen show patchy reactivity beginning at 13 weeks' gestation around some intracapsular neurons; the pattern is well developed in all regions before midgestation. Near-uniform reactivity throughout the striatum is achieved by 34 weeks, but subtle patchiness is still perceived at term. The globus pallidus shows uniform reactivity without stria from 13 weeks and the substantia nigra from 9 weeks. Synaptic patchiness in the fetal corpus striatum appears to correspond to the "striosomes of Graybiel" that define adjacent neurotransmitter-rich and neurotransmitter-poor zones. Clinical correlation is proposed with dystonic postures and athetoid movements observed in normal preterm neonates of 26 to 32 weeks.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.255
Teacher spread0.237 · 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 designObservational
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

Citations22
Published2012
Admission routes1
Has abstractyes

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