Study on the impairment of executive function in patients with single subcortical lesion stroke
Bibliographic record
Abstract
Objective To investigate the impairment of executive function in patients with single subcortical lesion stroke,and the rationality of using Montreal cognitive assessment (MoCA) (Beijing edition) to assess these patients. Methods Thirty one patients with single subcortical lesion stroke and 20 healthy controls were enrolled. Trail-making test (TMT),Stroop colour-words test (CWT),and similarities test (ST) were used to assess the executive function. Results ① Executive function performance of patients with single subcortical lesion stroke was inferior to that of the health controls in mental processing,response inhibition and set shifting. ② Patients with left side lesion had both the worsening in response inhibition and speed of mental processing,while patients with right side lesion had only the worsening in speed of mental processing. ③ Patients with thalamus stroke had worsening in response inhibition and speed of mental processing and patients with stroke in basal ganglia district had worsening in speed of mental processing and set-shifting. Patients with stroke in paraventricular white matter had worsening in speed of mental processing. There was no difference between left and right side lesion in these three groups. Conclusions ① Impairment of all executive function domains may be involved in single subcortical lesion stroke,especially the lowering of speed of mental processing. ② MoCA has its limit in assessing executive function impairment after single subcortical lesion stroke. Time assessing is recommended.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".