The Head Turning Sign in Dementia and Mild Cognitive Impairment: Its Relationship to Cognition, Behavior, and Cerebrospinal Fluid Biomarkers
Bibliographic record
Abstract
BACKGROUND/AIMS: The head turning sign (HTS) is frequently noticed in clinical practice, but few studies have investigated its etiological and neuropsychological correlates. METHODS: The presence and frequency of the HTS was operationalized and prospectively evaluated in patients with Alzheimer's disease (AD), amnestic mild cognitive impairment (MCI), and behavioral-variant frontotemporal dementia (bvFTD). Cerebrospinal fluid (CSF) samples for AD biomarkers were collected. Mini-Mental State Examination, Montreal Cognitive Assessment, Geriatric Depression Scale (GDS), and insight scale scores were ascertained. RESULTS: A total of 84 patients were included. The HTS was more prevalent in AD than in MCI or bvFTD. It correlated negatively with cognitive measures and depression. It also had a positive correlation with CSF total tau and hyperphosphorylated tau proteins. Total tau protein and GDS score were the only variables independently associated with the HTS. CONCLUSIONS: The presence of the HTS in a cognitively impaired individual suggests a diagnosis of AD. A higher HTS frequency correlates with higher CSF total tau levels, a smaller GDS score, and worse cognitive measures. In the MCI subgroup, the HTS may suggest a higher risk of progression.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".