Antidepressant Treatment Outcomes of Psychogenic Movement Disorder
Bibliographic record
Abstract
BACKGROUND: Psychogenic movement disorder (PMD) is a subtype of conversion disorder. We describe the outcomes of a series of PMD patients following antidepressant treatment. METHOD: Twenty-three outpatients with chronic PMD, diagnosed using Fahn and Williams' criteria, underwent psychiatric assessment. The patients were referred for assessment and management from January 2003 to July 2004. Fifteen agreed to be treated with antidepressants. Patients received citalopram or paroxetine; those who did not respond after 4 weeks of taking an optimal dose were switched to venlafaxine. Concurrently, 3 had supportive psychotherapy, and 1 had family intervention. Assessments included the DSM-IV-based Mini-International Neuropsychiatric Interview and scales measuring depression, anxiety, and motor and global severity. RESULTS: Eighteen patients (78%) had at least 1 Axis I diagnosis in addition to the somatoform diagnosis, and 3 (13%) had somatization disorder. Five (22%) had previous psychiatric contact. Nine (39%) had previously been treated with antidepressants, but only 4 (17%) had adequate trials. No significant differences existed in patient characteristics between treated and untreated groups. Among treated patients, Montgomery-Asberg Depression Rating Scale scores improved from baseline (p < .01). Two treated subgroups were identified: 10 patients (67%) had primary conversion disorder, of whom 8 had marked motor and global improvements with 7 complete remissions, and 5 (33%) had primary hypochondriasis, somatization disorder, or probable factitious disorder/malingering, of whom none improved. All of the patients with primary conversion disorder had a current or previous depressive or anxiety disorder compared with 40% (N = 2) of the patients with additional somatoform diagnoses. DISCUSSION: Our preliminary findings suggest that chronic PMD with primary conversion symptoms and with recent or current depression or anxiety may respond to antidepressants. Further well-designed studies, now under way, are required to confirm these 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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".