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Record W1983650339 · doi:10.1177/1545968309349945

Spontaneous Motor Rhythms of the Back and Legs in a Patient With a Complete Spinal Cord Transection

2009· article· en· W1983650339 on OpenAlexafffund
Sylvie Nadeau, G. Jacquemin, Christine Fournier, Y. Lamarre, Serge Rossignol

Bibliographic record

VenueNeurorehabilitation and neural repair · 2009
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsInstitut de Readaptation Gingras Lindsay de MontrealUniversité de MontréalCentre for Interdisciplinary Research in Rehabilitation
FundersCanadian Institutes of Health Research
KeywordsMedicineRhythmTrunkSpinal cordElectromyographyCentral pattern generatorAnklePhysical medicine and rehabilitationAnatomy

Abstract

fetched live from OpenAlex

BACKGROUND: Spontaneous activity originating from the spinal cord has been sporadically reported in humans. OBJECTIVES: Investigation of such rhythmic activity of the trunk and legs in a 49-year-old male patient who had a complete severance of the spinal cord at the fifth thoracic vertebra. METHODS: A multichannel electromyography (EMG) study was performed together with kinematics measurements obtained from an Optotrak system. RESULTS: Episodes of rhythmic trunk and lower limb movements started 6 to 7 years after the spinal lesion, recurred at 2 to 3 month intervals, and continued uninterrupted for 2 to 3 days despite continuous delivery of intrathecal baclofen. Several muscles discharged more or less synchronously on both sides but others clearly alternated, for instance, between hip flexors and knee or ankle extensors. Sensory stimuli (hip repositioning or skin pinch) altered significantly the baseline rhythm of about 1 Hz. The patient had both hips injected with corticosteroids and was free of these episodic rhythmic crises for more than 6 months. CONCLUSION: The rhythmic activity observed in the patient appeared related to the activation of a spinal pattern generator akin to what has been described in most animal species after complete spinal lesions.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.832
Threshold uncertainty score0.264

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 head0.030
GPT teacher head0.314
Teacher spread0.284 · 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

Citations53
Published2009
Admission routes2
Has abstractyes

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