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Record W2010487420 · doi:10.1117/12.808281

Relation between the neuronal and hemodynamic response in the lesioned rat spinal cord following peripheral nerve stimulation

2009· article· en· W2010487420 on OpenAlexaff
Simon Dubeau, Éric Beaumont, Frédéric Lesage

Bibliographic record

VenueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2009
Typearticle
Languageen
FieldMedicine
TopicOptical Imaging and Spectroscopy Techniques
Canadian institutionsUniversité de MontréalHôpital du Sacré-Cœur de MontréalPolytechnique Montréal
Fundersnot available
KeywordsHemodynamicsStimulationHaemodynamic responseSpinal cordPeripheralMedicineBlood flowNeuroscienceAnatomyAnesthesiaInternal medicinePsychologyHeart rateBlood pressure

Abstract

fetched live from OpenAlex

In this study, we explore the hemodynamic response in the lesioned rat spinal cord following peripheral nerve stimulation. Oxy and deoxy hemoglobin were measured (using a four color LED multispectral intrinsic optical imaging system) simultaneously with blood flow (laser speckle measurement). Both optical and electrophysiological data are compared spatially and against stimulation strength. When compared with non-lesioned animals, the hemodynamic response is seen to display significant differences exhibiting increased initial dip and decreased blood drain following stimulation. The origin of the difference is observed to be due to the vascular nature of the injury. The distinct hemodynamic responses may have a strong impact on General Linear Model based fMRI studies of spinal cord lesions due to the difficulty in separating vascular effects from neuronal plasticity following injury.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.015
GPT teacher head0.288
Teacher spread0.273 · 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 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

Citations0
Published2009
Admission routes1
Has abstractyes

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Same venueProceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIESame topicOptical Imaging and Spectroscopy TechniquesFrench-language works237,207