Analyzing choroid plexus volume in association with mild behavioral impairment and progression to dementia
Bibliographic record
Abstract
BACKGROUND: Mild behavioral impairment (MBI) improves early Alzheimer's disease (AD) detection by leveraging risk associated with later-life emergent and persistent neuropsychiatric symptoms. The choroid plexus (CP), a capillary network forming the blood-CSF barrier and producing cerebrospinal fluid (CSF), supports brain homeostasis and clearance of toxic molecules disrupted in AD. CP volume expansion precedes dementia onset, correlating inversely with cognitive performance; links with MBI remain unexplored. Here, we investigated CP volume differences in dementia-free individuals with and without MBI, and evaluated whether CP volume predicts progression to dementia, moderated by MBI. METHOD: Data were obtained from the National Alzheimer's Coordinating Center. Behavioral status was operationalized using a published algorithm applied to the Neuropsychiatric Inventory Questionnaire. T1-weighted magnetic resonance imaging scans were processed with FreeSurfer and segmented using a Gaussian mixture model segmentation algorithm to estimate bilateral CP volumes. Logistic regressions modeled the association between CP volume (exposure) and MBI status (outcome), adjusting for age, sex, education, cognitive status, and apolipoprotein E ɛ4 status. Cox proportional hazards regression modeled the association between CP volume (exposure) and incident dementia (outcome), with MBI status as a moderator, adjusting for the same covariates. RESULT: Among 2111 participants (43.0% female, 30.2% with Mild Cognitive Impairment, mean age 71.3±8.8 years), greater CP volumes were associated with 65% higher odds of MBI (95%CI[1.13-2.40], p = 0.008) (Table 1). Findings for left and right CP volumes were similar, with left CP volumes associated with 45% higher odds of MBI (95%CI[1.07-1.98], p = 0.02) and right CP volumes with 41% higher odds (95%CI[1.00-2.03], p = 0.05), indicating no notable hemispheric differences for associations with MBI. MBI+ status had a higher hazard ratio (HR) for incident dementia (HR=2.72), as did higher CP volume (HR=1.79). However, MBI+ status did not moderate the association between CP volume and incident dementia (p = 0.55) (Table 2). CONCLUSION: MBI+ participants had higher CP volumes, and both MBI+ status and CP volumes independently predicted incident dementia. While MBI did not moderate the CP-dementia association, it might serve as a mediator, warranting further research. These findings support MBI as a clinical tool for identifying dementia risk, and highlight CP volume as a potential neuroimaging biomarker.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".