Bibliographic record
Abstract
BACKGROUND: Loss of insight is a core diagnostic criterion for frontotemporal dementia (FTD), whereas failure to recognise cognitive deficits and unawareness of disease (anosognosia) are well established findings in Alzheimer's disease (AD). However, self awareness of personality has not been quantified in these patient groups. METHODS: Twenty two patients (12 with frontal variant FTD; 10 with early AD) and 11 older adult normal controls completed self report questionnaires (the Interpersonal Adjectives Scales) describing their current personality. First degree relative informants completed two questionnaires, one describing the subject's current personality, the other retrospectively describing the subject's personality before disease onset. Differences between subject and informant reports of current personality were used to measure the accuracy of self awareness. RESULTS: Discriminant function analysis showed significant differences in self awareness among the three groups, with those in the FTD group showing the greatest magnitude of error in the largest number of personality dimensions (dominance, submissiveness, cold heartedness, introversion, and ingenuousness). Despite personality changes over time, patients with AD showed accurate self awareness in all personality dimensions except submissiveness and extraversion. Normal controls showed a pattern of underestimating positive qualities, whereas patients with FTD exaggerated positive qualities and minimised negative qualities. For the personality facets showing impaired insight, the self reports of patients with FTD and AD most closely matched their premorbid personalities, suggesting a failure to update their self image after disease onset. CONCLUSIONS: This study operationalises research criteria for loss of insight in FTD.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".