P3‐105: Cognitive dysfunction and impulse control disorders in Parkinson's disease
Bibliographic record
Abstract
Although dementia and depression are more recognizable and common neurobehavioral manifestations of Parkinson's disease (PD), impulse control disorders (ICDs) also occur not frequently. The ICDs are related to the use of dopamine agonist, younger age at PD onset, a personality style characterized by impulsiveness. Little attention has been paid to relationship between cognitive dysfunction and ICDs. We investigated cognitive function with mini-mental staus examination (MMSE), Montreal cognitive assessment (MoCA), and other neuropsychological battery in PD patients according to the presence of ICDs. A total 384 PD patients (male = 187, age = 64.35 ± 10.39) were screened with Questionnaire for Impulsive-Compulsive Disorders in Parkinson's Disease (QUIP) and were investigated with neuropsychological tests including Rey Complex Figure test (RCF), Controlled Oral Word Association Test (COWAT), Speech & Language function test, Executive function test and Stroop test. The patients with ICDs were 42 patients (10.9%). Among the patients, 17 patients showed pathological eating and 15 patients showed hypersexuality. There was no significant difference of MMSE scores between PD patients with ICDs (PDICD) and PD patients without ICDs(nPDICD), however MoCA scores were significantly lower in nPDICD (p = 0.048). The frequency of abnormal frontal lobe function was greater in nPDICD compared to PDICD (Pearson χ = 5.32, p = 0.048). These results show that frontal lobe dysfunction is common in nPDICD. These findings may suggest the relationship ICDs and frontal lobe dysfunction.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".