Alexithymia is a non motor symptom of essential tremor regardless of the presence of depression and anxiety
Bibliographic record
Abstract
OBJECTIVE: Essential tremor (ET) is one of the most common movement disorders. Aside from tremor, patients may exhibit other motor features as well as non-motor features, including neuropsychiatric symptoms. The cerebellum and cerebellar connections are thought to play a key role in the pathophysiology of ET. Cognitive and affective disturbances can occur in the context of cerebellar disease. Our aim was to study the prevalence and clinical correlates of alexithymia and its relationship to depression and anxiety in ET patients and control subjects (CS). METHOD: We enrolled 100 ET patients and 100 age- and gender-matched CS. The Toronto Alexithymia Scale-20 (TAS-20), the Beck depression inventory-II and the Beck anxiety inventory were administered. RESULTS: Alexithymia levels were significantly higher in ET patients than CS (respective mean TAS-20 scores = 50.63 ± 9.79 vs. 44.05 ± 12.51, p < 0.001). There were robust associations between alexithymia, depressive symptoms, and anxiety but, after excluding the ET patients and the CS who had moderate or severe depression or who had moderate or severe anxiety, the total alexithymia score remained significantly higher in the ET than the CS group (46.78 ± 9.19 vs. 41.18 ± 11.79, p ≤ 0.01). CONCLUSION: This study suggests that prevalence of alexithymia is significantly higher in ET patients. Alexithymia might be another non-motor neuropsychiatric symptom of the disease. Further studies are needed to confirm and expand upon our findings.
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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) | 0.000 | 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) | 0.002 | 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".