P1‐468: CHARACTERISING THE COGNITIVE PROFILE ASSOCIATED WITH INDIVIDUAL DOMAINS OF MID BEHAVIOURAL IMPAIRMENT IN THE COGNITIVELY NORMAL POPULATION
Bibliographic record
Abstract
Mild Behavioural Impairment describes a spectrum of neuropsychiatric symptoms emergent in late life which are associated with increased risk of dementia. While the risk of cognitive decline and dementia associated with MBI has been characterised little is known about the profile of the five constituent domains: decreased motivation, emotional dysregulation, impulse dyscontrol, social inappropriateness, and abnormal perception or thought content. We conducted an analysis of change in cognition associated with these five clusters of symptoms in cognitively normal older adults. PROTECT is an online UK based longitudinal study in adults aged 50 and over without dementia (www.protectstudy.org.uk). The two-year assessment involved self-report completion of the Mild Behavioral Impairment Checklist (MBI-C) online in addition to mandatory cognitive assessments which are completed up to three times over seven days. Participants were excluded if they reported depression, schizophrenia or other psychiatric condition, and if they showed cognitive deficits to consistent with Mild Cognitive Impairment. Cohen's d effect sizes were calculated using the residual error terms from the ANCOVAs. The Bonferroni correction was applied to determine statistical significance. Data were available for 10,793 volunteers, 7,911 females (mean age 61.3 years, SD 6.9, range 50 to 92) and 2882 males (mean age 63.9 years, SD 7.5, range 50 to 91). All MBI domains were associated with significant impairments in focusing and sustaining attention and working memory. Executive function was disrupted in individuals reporting impulse dyscontrol and abnormal thoughts and perception. The impairments identified in this analysis bring a new, more detailed, perspective on the profile of cognitive impairment related to MBI. They are consistent with the hypothesis that MBI symptoms are early indicators of cognitive decline, and provide support for a greater focus on neuropsychiatric symptoms in preclinical populations.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".