Association between Mild Behavioral Impairment trajectories and AD biomarkers in adults with Mild Cognitive Impairment. Results from the CompAS study
Bibliographic record
Abstract
Abstract Background Our aim was to investigate the association of the NPS trajectories in time measured by MBI‐C for MCI patients with the CSF biomarkers and temporal lobe atrophy detected at baseline. Method CSF biomarkers at baseline were obtained from 71 patients with MCI belonging to Compostela Aging Study (CompAS) (Spain). Positivity for A (β‐amyloid), T (p‐Tau), and N (t‐Tau) was defined by cut‐off levels. Structural MRI was employed to evaluate cortical thickness and volume. Mild behavioral impairment was assessed using the validated Spanish‐language MBI‐C (Mallo et al., 2018) at baseline, 24 months, and 60 months follow‐up. Spearman correlations were performed to evaluate the relationships between CSF biomarkers at baseline and MBI‐C scores for the three evaluations. Logistic regressions were used to test the predictive value of the MBI‐C scores at each evaluation on the biomarkers’ positivity at baseline, and linear regression analyses to test the relationships between cortical thickness and volume at baseline and the three MBI‐C scorings. Results Spearman correlations showed no significant relations between MBI‐C and β‐amyloid, pTau, tTau and tTau/β‐amyloid ratio at baseline. However, significant positive correlations appeared between MBI‐C at 24‐month follow‐up and pTau (rho = .371), tTau (rho = .282) and tTau/β‐amyloid ratio at baseline but not with β‐amyloid. MBI‐C scores at the 60‐month follow‐up only significantly correlated with tTau/β‐amyloid ratio (rho = ‐.418). MBI‐C at 24 months and at 60 months were respectively predicted by pTau and tTau (Table 1). Linear regression analyses showed that MBI‐C at 24 months was predicted by cortical thickness of entorhinal, fusiform, inferior temporal, inferior parietal, middle and supramarginal gyri. MBI‐C at 24 and 60 months were predicted by Volume of entorhinal, inferior temporal, precuneus and whole hippocampus (Table 2). Conclusion The markers of atrophy in structures of the medial temporal lobe and the lateral and parietal temporal lobe, and pTau+ or tTau+ in MCI patients at baseline were associated with worsening of neuropsychiatric symptoms at 24 and/or 60 months.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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".