Cognitive changes and cranial MRI changes in patients with myotonic dystrophy type 1: a study of 4 cases
Bibliographic record
Abstract
Objective To investigate the cognitive, intelligent and cranial MRI status of 4 patients with myotonic dystrophy type 1 (DM1). Methods A pedigree of 4 patients,admitted to our hospital from September 2011 to December 2011 and diagnosed as having DM1, were chosen in our study; Chinese edition tests of Wechsler adult intelligence scale and Wechsler memory scale were used to test the intelligence of these patients; Montreal cognitive assessment (MoCA) and Neurobehavioral cognitive status examination (NCSE) were applied to evaluate the patients' cognitive function.All of the 4 patients received a cranial MRI scan. Results Except for 1 patient,the other 3 patients had low intelligent quotient (IQ) and memory quotient (MQ),and their verbal IQs were all lower than performance IQs.Three patients showed impaired visual space/executive skills,calculation,memory,and conceptual thinking abilities; 1 patient showed impaired sentence repetition and verbal fluency on MoCA,though his final scores were within normal range. Three patients had brain atrophy to some extent on MRI scan,prominently in the frontal lobe and temporal lobe; white matter lesions and thickened skull were founded in all 4 patients. Conclusion Multiple cognition disorders and brain involvements can be found in DM1 patients and deserve further investigation. Key words: Myotonic dystrophy type 1; Intelligent test; Cognition function disorder; Magnetic resonance imaging
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".