Sex-Differences in the Early Detection of Dementia Risk Using a Cognitive-motor Integration Task
Bibliographic record
Abstract
Cognitive-motor integration (CMI) involves concurrent thought and action which requires the interaction of large brain networks. Our research objectives were to examine the effect that dementia risk has on the ability to integrate rules into action and to investigate sex-related differences in this rule-based motor performance. Given that early-stage dementia involves neural network dysfunction, problems with CMI may prove useful for early dementia detection. Males and females at high- and low-dementia risk were tested on increasingly spatially-dissociated visuomotor tasks. We observed significantly greater endpoint error scores and corrective path lengths in females compared to males in the most complex CMI condition. These data suggest that underlying brain networks controlling simultaneous thought and action differ between the sexes, and that dementia risk may affect female CMI performance to a greater extent. Thus, sex-related differences must be taken into account when assessing CMI performance as a means to examine dementia risk-related functional abilities.
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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 | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".