MétaCan
Menu
Back to cohort
Record W2974884283 · doi:10.1002/ana.25604

Glymphatics Visualization after Focused Ultrasound‐Induced Blood–Brain Barrier Opening in Humans

2019· article· en· W2974884283 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAnnals of Neurology · 2019
Typearticle
Languageen
FieldNeuroscience
TopicCerebrospinal fluid and hydrocephalus
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
FundersW. Garfield Weston FoundationALS Society of CanadaFocused Ultrasound Foundation
KeywordsVisualizationBlood–brain barrierMedicineUltrasoundNeurosciencePsychologyComputer scienceRadiologyCentral nervous systemArtificial intelligence

Abstract

fetched live from OpenAlex

It is currently unclear whether the glymphatic system, a brain-wide interstitial fluid-cerebrospinal fluid exchange described in rodents, exists in humans. Focal blood-brain barrier disruption using magnetic resonance-guided focused ultrasound allows parenchymal penetration of gadobutrol contrast, creating an opportunity to study glymphatics in vivo noninvasively. We describe patterns of contrast distribution in the perivascular space, subarachnoid space, and space surrounding large veins draining toward the dural sinuses on fluid-attenuated inversion recovery in subjects with Alzheimer disease and amyotrophic lateral sclerosis. This is the first evidence suggesting glymphatic efflux persists in humans. It's relevance to proteinopathies and drug delivery is discussed. ANN NEUROL 2019;86:975-980.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.090
Threshold uncertainty score0.726

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.047
GPT teacher head0.323
Teacher spread0.276 · 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