Impact of Subcortical Hyperintensities on Dual-tasking in Alzheimer Disease and Aging
Bibliographic record
Abstract
Subcortical hyperintensities (SHs) on brain magnetic resonance imaging are associated with cognitive and gait impairment in elderly but their impact on dual-tasking (performing cognitive tasks while walking) in patients with Alzheimer disease (AD) is unknown. This study explored the costs of dual-tasking in relation to SH severity in AD and normal controls (NCs). Cadence while walking on a treadmill, and speed-accuracy-tradeoff (SAT), on 3 working memory tasks, were measured during single-task and dual-task conditions. Dual-task costs (DTC) on SAT, cadence, and overall DTC were measured for each of these tasks. On visual rating of SH severity, AD and NC groups were subdivided into high-SH and low-SH subgroups. Compared with the NC, the AD group performed poorly on all working memory tasks across both conditions, decreased cadence on dual-tasking, and showed a decrement in overall DTC (all P<0.01). When grouped according to SH severity, the low-SH-NC group performed superiorly on working memory tasks (P<0.001) and the high-SH-AD group (P=0.001) showed a decrease in dual-task costs of cadence. Although the AD group showed a decrement in overall DTC (P<0.01) compared with NC, when assessed in terms of SH severity, the high-SH-AD group showed the largest decrement in DTC (P<0.01). Greater SH severity is associated with a decrement in overall dual-tasking ability in AD.
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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".