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Record W2104617873 · doi:10.2217/1745509x.5.1.79

A Brief History of Poststroke Depression Neuroimaging

2009· article· en· W2104617873 on OpenAlexaff
P.L. Francis, Nathan Herrmann, Gayla Tennen, Krista L. Lanctôt

Bibliographic record

VenueAging Health · 2009
Typearticle
Languageen
FieldMedicine
TopicStroke Rehabilitation and Recovery
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsLesionHyperintensityMedicineDepression (economics)NeuroimagingStroke (engine)Basal gangliaRight hemisphereWhite matterLateralization of brain functionNeurosciencePhysical medicine and rehabilitationMagnetic resonance imagingAudiologyRadiologyPsychologyPsychiatryInternal medicineCentral nervous system

Abstract

fetched live from OpenAlex

The past 25 years have witnessed a dramatic rise and fall in clinical research investigating lesion localization in poststroke depression patients. Early studies focused on basic lesion characteristics, such as left versus right hemisphere and anterior versus posterior location, that would dominate studies in this field for the next 15 years. While results were inconsistent, some studies suggested that the left hemisphere and more anterior lesions were associated with increased prevalence and severity of depression. Recent studies have suggested lesion preference in components of the basal ganglia and frontal–subcortical circuitry and have proposed a combined effect of large stroke lesions and other lesions, such as white matter hyperintensities and lacunar infarcts. The effect of lesion location on poststroke depression requires further clarification.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.486
Threshold uncertainty score0.237

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 head0.020
GPT teacher head0.310
Teacher spread0.290 · 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

Citations2
Published2009
Admission routes1
Has abstractyes

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