Assessment of the mild behavioral impairment checklist in individuals with subjective cognitive decline and mild cognitive impairment in the BRASCODE cohort
Bibliographic record
Abstract
BACKGROUND: Mild Behavioral Impairment (MBI) is characterized by neuropsychiatric symptoms that may precede cognitive decline in the early stages of neurodegenerative diseases. In Brazil, the study of MBI in individuals with cognitive complaints remains limited. This study aims to evaluate the MBI-Checklist (MBI-C) in individuals with Subjective Cognitive Decline (SCD) and Mild Cognitive Impairment (MCI) in the Brazilian Subjective Cognitive Decline (BRASCODE) cohort in southern Brazil. METHODS: Cognitively unimpaired adults >65 years old with cognitive complaints, but no severe clinical or neuropsychiatric illness, are enrolled in the BRASCODE cohort. This analysis includes data from participants who completed the 12-month follow-up. The applied scales included: Mild Behavioral Impairment Checklist (MBI-C) and Memory Complaint Scale (MCS) (participant and informant); Neuropsychiatric Inventory-Questionnaire (NPI-Q) (informant); Geriatric Depression Scale (GDS), Geriatric Anxiety Inventory (GAI), Mini-Mental State Examination (MMSE) (participant); and Clinical Dementia Rating (CDR). We performed a correlation analysis between continuous variables. We considered a p-value < 0.05 as statistically significant. RESULTS: A total of 100 participants completed the 12-month follow-up, of whom 13 were diagnosed with MCI. Table 1 presents demographic and clinical characteristics. MBI-C participant scores correlated positively with depressive (GDS, rho = 0.695, p < 0.0001) and anxiety symptoms (GAI, rho = 0.519, p < 0.0001). MBI-C informant scores showed a strong correlation with NPI-Q (rho = 0.743, p < 0.0001) and the informant's perception of cognitive decline (rho = 0.364, p = 0.0004). A significant correlation was also found between MBI-C informant scores and CDR-SOB (rho = 0.283, p = 0.007). Additionally, MBI-C participant scores were negatively correlated with formal education (rho = -0.387, p = 0.009). No significant correlation was found between MBI-C-participant and MBI-informant scores. CONCLUSION: The MBI-C identified neuropsychiatric symptoms in individuals with SCD and MCI, showing a strong correlation with anxiety and depressive symptoms. Additionally, MBI-C-informant scores were significantly correlated with neuropsychiatric symptoms and cognitive impairment measures. These findings bring attention to the relevance of MBI-C in the behavioral assessment of this population. Research with larger samples is needed to better understand the associations between MBI and cognitive decline in individuals with SCD and MCI.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".