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Record W2062914599 · doi:10.1159/000117247

Comparisons between SPECT and Quantitative EEG Measures of Cortical Impairment in Mild to Moderate Alzheimer’s Disease

2008· article· en· W2062914599 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEuropean Neurology · 2008
Typearticle
Languageen
FieldNeuroscience
TopicEEG and Brain-Computer Interfaces
Canadian institutionsMcGill UniversityDouglas Mental Health University InstituteUniversité de MontréalHôpital du Sacré-Cœur de Montréal
Fundersnot available
KeywordsElectroencephalographyCerebral blood flowAudiologyPsychologyQuantitative electroencephalographySingle-photon emission computed tomographyAlzheimer's diseasePositron emission tomographyNeuroscienceMedicineCardiologyDiseaseInternal medicine

Abstract

fetched live from OpenAlex

This study aimed at examining correlations between quantitative REM sleep EEG, regional cerebral blood flow measured by single photon emission computerized tomography (SPECT) and global cognitive functioning in nine patients with mild to moderate Alzheimer's disease. REM sleep EEG was not correlated with SPECT measures in any of the 6 regions studied. However, degrees of interhemispheric asymmetry calculated by both measures were concordant for the parieto-occipital region. Mini-mental state score correlated with REM sleep EEG slowing for left frontal, left and right parieto-occipital and left temporal regions but was not correlated with SPECT measures for any of the six regions. These results suggest that quantitative REM sleep EEG would be more useful than SPECT for evaluating cerebral dysfunctions in mild to moderate Alzheimer's disease.

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.

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 score0.166
Threshold uncertainty score0.649

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 head0.157
GPT teacher head0.325
Teacher spread0.169 · 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