White Matter Hyperintensities and Their Spatial Relationship to Mild Behavioral Impairment: Insights from Cluster‐Based Analysis
Bibliographic record
Abstract
BACKGROUND: Mild behavioral impairment (MBI) is defined by the presence of neuropsychiatric symptoms in cognitively healthy individuals and often predicts the occurrence of dementia. We hypothesize that white matter hyperintensities (WMH), which are a key manifestation of cerebral small vessel disease and are associated with the risk of dementia, may contribute to the development of MBI. This study aims to investigate whether specific WMH lesion locations are associated with MBI. METHOD: In our preliminary analysis, a total of 125 WMH lesions from 27 cognitively healthy participants with present WMH lesions (mean age 75 years, 56% females) of the Alzheimer's Disease Neuroimaging Initiative were analyzed (Table 1). The MBI score was derived from Neuropsychiatric Inventory Questionnaire, the MBI syndrome was characterized as having at least one positive symptom of MBI domain persisting for a minimum of six months. WMH lesions from T2-FLAIR images were automatically segmented with Lesion Segmentation Tool at a 0.95 probability threshold, and their centroids were spatially clustered (Figure 1, 2). Multiple linear mixed-effects models were employed to predict WMH volumes, lesion spatial distribution or clustered WMH centroids (dependent variables) based on MBI syndrome or MBI scores (independent variables) adjusting for age, sex, education, Mini-Mental State Examination score, and total intracranial volume. RESULT: The analysis revealed a significant association between the MBI syndrome (p < 0.001), MBI score (p < 0.017), and total WMH lesion volume. Additionally, a negative correlation was observed between the Montreal Neurological Institute (MNI) z- and y-coordinates (p < 0.0001), indicating that WMH lesions in MBI-positive individuals were more likely to localize in posterior superior brain regions. Notably, a cluster including the right lingual gyrus, right calcarine gyrus, corpus callosum, and the inferior occipitofrontal fasciculus demonstrated a significant link with the MBI syndrome (p < 0.020). CONCLUSION: The association of MBI syndrome with increased WMH lesion volume suggests that cerebral small vessel disease may be involved in the emergence of MBI. The distinct lesion localization in posterior superior brain regions, areas involved in memory recollection, high-emotion processing, and goal-oriented behavior, emphasize the importance of spatially resolved WMH analyses in clarifying MBI's neurobiological basis.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".