ASSOCIATIONS BETWEEN THE UPPER EXTREMITY FUNCTION AND COGNITION IN POST-STROKE PATIENTS
Bibliographic record
Abstract
OBJECTIVE: The aim: Was to determine the relations between the the upper extremity function and cognition in post-stroke patients. PATIENTS AND METHODS: Materials and methods: Totally there were 86 patients examined in the 1-year period after first-ever anterior circulation ischemic stroke. Examination of the upper extremity function was performed with the Fugl-Meyer assessment (FMA). Cognitive function was assessed with the Mini Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA), Frontal Assessment Battery (FAB), Trail-making Test A and B (TMT) and the Clock Drawing Test (CDT). RESULTS: Results: Motor dysfunction mostly manifested in low "Wrist" and "Hand" subtests scores (5 and 7 , respectively) and therefore resulted in decreased "Total motor function" score of 40 . The most significant relations were found out between the FMA "Hand", "Total motor function" subtests and CI indices. MoCA score correlated with FMA "Wrist" (r=0.34; p=0.021), "Hand" (r=0.52; p=0.001) and "Total motor function" (r=0.48; p=0.003) scores. "Hand" score also correlated with the FAB (r=0.43; p=0.012), CDT (r=0.22; p=0.016), TMT-A (r=-0.31; p=0.023) and TMT-B (-0.48; p=0.009) scores. There was no significant correlation between the sensory FMA subtests. CONCLUSION: Conclusion: Our findings suggest that upper extremity motor impairment, especially hand and wrist dysfunction, are associated with cognitive impairment and executive functions disorder in particular.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".