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Involvement of the human subthalamic nucleus in movement preparation

2003· article· en· W2107445796 on OpenAlexaff
Guillermo Paradiso, Jean A. Saint‐Cyr, Andrés M. Lozano, Anthony E. Lang, R. Chen

Bibliographic record

VenueNeurology · 2003
Typearticle
Languageen
FieldMedicine
TopicNeurological disorders and treatments
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsSubthalamic nucleusBasal gangliaDeep brain stimulationScalpElectromyographyNeuroscienceMovement disordersParkinson's diseaseWristPsychologyMedicinePhysical medicine and rehabilitationCentral nervous systemAnatomyPathologyDisease

Abstract

fetched live from OpenAlex

BACKGROUND: Although it has long been recognized that the basal ganglia play a major role in motor control, their precise functions remain unclear. As patients with Parkinson's disease (PD) have difficulties initiating movement, the basal ganglia may be involved in movement preparation. The subthalamic nucleus (STN) is particularly suited to play a role in movement preparation because it receives direct input from the supplementary motor area through the corticosubthalamic pathway. METHODS: Taking advantage of the electrodes surgically implanted in the STN for deep brain stimulation (DBS) treatment in 13 PD patients, we recorded from the DBS electrodes and the scalp simultaneously while the patients were performing self-paced wrist extension movements. RESULTS: Scalp recordings showed a slow, negative movement-related potential (MRP) in all patients studied (onset 1,690 +/- 336 milliseconds before electromyography onset). STN recordings showed premovement MRP in 11 of 13 patients. The STN activity occurred with both ipsilateral and contralateral hand movement. The onset time for STN MRP (contralateral 2,095 +/- 1,005 milliseconds, ipsilateral 2,020 +/- 920 milliseconds) was not significantly different from that for cortical MRP. CONCLUSION: The STN or nearby structures are active before self-paced movement in humans.

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 score0.026
Threshold uncertainty score0.176

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 head0.024
GPT teacher head0.280
Teacher spread0.257 · 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

Citations69
Published2003
Admission routes1
Has abstractyes

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