Relationship of Deep White Matter Hyperintensities and Apolipoprotein E Genotype to Depressive Symptoms in Older Adults Without Clinical Depression
Bibliographic record
Abstract
OBJECTIVE: This study examined whether evidence of cerebrovascular disease in the form of magnetic resonance imaging (MRI) signal hyperintensities in white matter was associated with depressive symptoms in a high-functioning group of normal elderly volunteers. METHOD: Ninety-two community-dwelling elderly individuals participating in a study of white matter hyperintensities (WMHs) in normal aging whose apolipoprotein E (APOE) genotype had been determined completed the Geriatric Depression Scale and received an MRI scan. Univariate analyses of variance were used to examine the relationship between depressive symptoms and the location of WMHs (in deep white matter versus in periventricular white matter) and to determine whether WMHs were more likely to be associated with symptoms of impaired motivation and concentration or with mood symptoms. The effect on depressive symptoms of the interaction between severity of cerebrovascular disease as evidenced by WMHs and APOE genotype was also examined. RESULTS: Hyperintensities in the deep white matter, but not in the periventricular white matter, were associated with depressive symptoms, especially symptoms of impaired motivation, concentration, and decision making. The relationship between deep WMHs and depressive symptoms was especially strong in individuals carrying the APOE-4 allele. CONCLUSIONS: The pattern of depressive symptoms associated with WMHs in this study was similar to the pattern described in the literature as characterizing "vascular" depression in older persons with major depression. The results suggest that cerebrovascular disease may also underlie the depressive symptoms often found in older individuals who are not clinically depressed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".