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Record W2168960901 · doi:10.1161/strokeaha.110.598821

Imaging of Microglia Activation in Stroke

2010· review· en· W2168960901 on OpenAlexaff
Alexander Thiel, Wolf‐Dieter Heiss

Bibliographic record

VenueStroke · 2010
Typereview
Languageen
FieldNeuroscience
TopicNeuroinflammation and Neurodegeneration Mechanisms
Canadian institutionsMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsTranslocator proteinMicrogliaNeuroinflammationMedicineNeuroscienceStroke (engine)Diffusion MRIPositron emission tomographyLesionPathologyMagnetic resonance imagingInflammationRadiologyInternal medicineBiology

Abstract

fetched live from OpenAlex

Activated microglia is one of the most important cellular components of poststroke neuroinflammation, which occurs early in the area of the infarct but also in remote regions with fiber tract connections to the site of the primary lesion. The development of different radioligands for the translocator protein, a mitochondrial membrane protein expressed in microglial cells when they transform from the resting to the activated state, allows to study the temporal dynamics of this cellular neuroinflammatory component in vivo in animal models and human stroke using positron emission tomography. In this article, we review the advantage and limitations of current and future methods for microglia imaging as well as new results of multimodal imaging approaches in clinical stroke, which try to combine microglia imaging with diffusion tensor imaging to investigate the clinical relevance of remote microglia activation along fiber tracts for poststroke recovery.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.512
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.049
GPT teacher head0.318
Teacher spread0.268 · 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.

Study designBench or experimental
Domainnot available
GenreReview

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

Citations123
Published2010
Admission routes1
Has abstractyes

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