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Increased oxygen consumption in human visual cortex: response to visual stimulation

2009· article· en· W2085776209 on OpenAlexaff
Manouchehr Seyedi Vafaee, Sean Marrett, E. Meyer, Alan C. Evans, Albert Gjedde

Bibliographic record

VenueActa Neurologica Scandinavica · 2009
Typearticle
Languageen
FieldMedicine
TopicAdvanced MRI Techniques and Applications
Canadian institutionsMontreal Neurological Institute and HospitalMcGill University
Fundersnot available
KeywordsVisual cortexCheckerboardStimulus (psychology)StimulationPhotic StimulationSubtractionPositron emission tomographyNuclear medicinePsychologyOxygenAudiologyMedicineVisual perceptionNeuroscienceChemistryMathematicsPerceptionCognitive psychologyGeometry

Abstract

fetched live from OpenAlex

To test whether a sufficiently complex visual stimulus causes the consumption of oxygen to rise in the human visual cortex, we used positron emission tomography (PET) to measure the cerebral metabolic rate of oxygen (CMRO2) during visual stimulation in 6 healthy normal volunteers. A yellow-blue checkerboard, reversing its contrast at a frequency of 8 Hz, was presented for a period of 7 min, beginning 4 min before the onset of a 3-min scan. In the baseline condition, subjects fixated a cross-hair from 30 s before until the end of the 3-min scan. The CMRO2 was calculated with the two-compartment weighted integration method (1). The checkerboard minus baseline subtraction yielded statistically significant increases in CMRO2 in the primary (V1) and higher order visual cortices (V4 and V5). The significant CMRO2 increases were detected in these regions in both the group average and in each individual subject.

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 score0.954
Threshold uncertainty score0.698

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 head0.027
GPT teacher head0.374
Teacher spread0.347 · 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

Citations43
Published2009
Admission routes1
Has abstractyes

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