The relation between behavioral, emotional and cognitive apathy and everyday executive dysfunction in alcoholic Korsakoff's syndrome
Bibliographic record
Abstract
Background: Apathy is an important neuropsychiatric symptom in alcohol-related cognitive impairment in general, and Korsakoff's syndrome in specific. However, research in patients with Korsakoff's syndrome on the multifaceted nature of apathy is lacking. Objectives: Aim of the current study was to examine behavioral, cognitive and emotional apathy in alcoholic Korsakoff patients, also investigating the association with overall cognitive and executive dysfunction. Methods: We studied 43 patients with Korsakoff's syndrome (mean age 60.9, SD=6.5, range 38-70) using the Apathy Evaluation Scale - Informant Version (AES-I) and also administered the Montreal Cognitive Assessment and the Behavior Rating Inventory of Executive Function - Adult Version (BRIEF-A) as a measure of daily executive problems. Results: In our sample, 76% of the Korsakoff patients were classified as being apathetic. AES-I scores correlated with overall cognitive function and were related to observer-rated daily executive problems. Discussion: Apathy is highly prevalent in Korsakoff patients and related to overall cognitive dysfunction and everyday executive problems. Our results stress the need to further examine underlying mechanisms of apathy in Korsakoff patients and the need for interventions aimed at reducing apathy.
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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 | 0.001 | 0.001 |
| 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".