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Globus pallidus dopamine and Parkinson motor subtypes

2008· article· en· W1984414718 on OpenAlexaff
Alex Rajput, Harald H. Sitte, Ali H. Rajput, Mark Fenton, Christian Pifl, Oleh Hornykiewicz

Bibliographic record

VenueNeurology · 2008
Typearticle
Languageen
FieldMedicine
TopicNeurological disorders and treatments
Canadian institutionsSaskatchewan Health Authority
Fundersnot available
KeywordsGlobus pallidusNeuroscienceDopamineMedicineParkinson's diseaseBasal gangliaPsychologyInternal medicineCentral nervous systemDisease

Abstract

fetched live from OpenAlex

BACKGROUND: Patients with Parkinson disease (PD) may be akinetic/rigid, be tremor dominant, or have comparable severity of these motor symptoms (classic). The pathophysiologic basis of different PD phenotypes is unknown. This study assessed pallidal and striatal dopamine level patterns in different motor subgroups of PD and normal control brains. METHODS: Globus pallidus and striatum dopamine (DA) levels were measured with high performance liquid chromatography in eight autopsy confirmed PD and five control frozen brains. RESULTS: DA levels in the external globus pallidus (GPe) of normal brains were nearly six times greater than in the internal pallidum (GPi). In PD, the mean loss of DA was marked (-82%) in GPe and moderate (-51%) in GPi. DA loss of variable degree was seen in different subdivisions of GPe and GPi in PD; however, DA levels were near normal in the ventral (rostral and caudal) GPi of PD cases with prominent tremor. There was marked loss of DA (-89%) in the caudate and severe loss (-98.4%) in the putamen in PD. The pattern of pallidal DA loss did not match the putaminal DA loss. CONCLUSION: There is sufficient loss of dopamine (DA) in external globus pallidus and the internal globus pallidum (GPi) as may contribute to the motor manifestations of Parkinson disease (PD). The possible functional disequilibrium between GABAergic and DAergic influences in favor of DA in the caudoventral parts of the GPi may contribute to resting tremor in tremor dominant and classic PD cases.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.344

Codex and Gemma teacher scores by category

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

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 head0.022
GPT teacher head0.246
Teacher spread0.224 · 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 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

Citations184
Published2008
Admission routes1
Has abstractyes

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