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Record W4406962873 · doi:10.1161/str.56.suppl_1.24

Abstract 24: Iron deposition changes of ipsilateral ventral posterolateral nuclei correlate with central post-stroke pain after thalamic infarction

2025· article· en· W4406962873 on OpenAlexaboutno aff
Chen Ye, Biqiu Tang, Ruosu Pan, William Robert Kwapong, Le Cao, Yuying Yan, Tang Yang, Xuening Zhang, Miaoqi Zhang, Junfeng Liu, Wendan Tao, Su Lui, Bo Wu

Bibliographic record

VenueStroke · 2025
Typearticle
Languageen
FieldMedicine
TopicAdvanced Neuroimaging Techniques and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineStroke (engine)InfarctionIschemic strokeCardiologyIschemiaMyocardial infarction

Abstract

fetched live from OpenAlex

Objectives: To investigate the correlation between iron deposition changes in the lesioned thalamic nuclei and the presence and severity of central post-stroke pain (CPSP) after thalamic infarction using quantitative susceptibility mapping (QSM) technique. Methods: We consecutively enrolled patients with unilateral chronic thalamic infarction with radiological examination conformed . Detailed and multidimensional pain characteristics measured as follows: Douleur Neuropathique 4 (DN4) questionnaire for validation of neuropathic pain diagnosis, Short-Form McGill Pain Questionnaire (SF-MPQ) for comprehensive representation of pain experience, Present Pain Intensity index (PPI) for current pain severity upon examination, and Visual Analogue Scale (VAS) for overall pain feeling since symptom onset. Age- and sex-matched stoke-free healthy controls were recruited simultaneously. High resolution structural image 3D-T1 BRAVO and QSM sequences were obtained with 3.0T MRI. The voxel-lesion-symptom-mapping (VLSM) was used to determine lesioned thalamic nuclei at the high risk for CPSP. Then ipsilateral QSM values of the whole thalamus and subregions were compared with contralateral side and healthy controls. Partial correlation analysis were performed to explore the relationship between QSM value and pain severity. Results: Finally, 28 CPSP patients, 33 non-CPSP patients and 55 healthy controls were included in the study. Our results indicated no significant difference in overall QSM values of the whole thalamus among the groups. The VLSM results showed lesion involving ventral posterolateral nuclei (VPL) was highly orrelaed with occurance of CPSP ( p FWE =0.0092.). The QSM values of each subnuclei in the thalamus ipsilateral to infarction were lower compared with the contralateral side and healthy controls ( p <0.001). Nonetheless, the QSM values in ipsilateral VPL were higher in CPSP patients campared with non-CPSP patients( p =0.003). Notably, the QSM values in the ipsilateral VPL were significantly correlated to pain severity (all p <0.05). Conclusions: The study showed that altered iron deposition in the VPL nuclei is associated with the occurrence and severity of CPSP following thalamic infarction. Aberrant iron deposition after ischemic thalamus stroke may play an important role in the pathogenesis of CPSP. Key words: Thalamic infarction; Central post-stoke pain; Iron deposition; VLSM; Quantitative susceptibility mapping

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

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)0.0030.000

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 head0.012
GPT teacher head0.266
Teacher spread0.254 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2025
Admission routes1
Has abstractyes

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