The impact of BDNF on the interplay between sleep time and cognitive function
Bibliographic record
Abstract
Abstract Background Disrupted sleep patterns have been shown to exacerbate Alzheimer's disease (AD) risk, potentially because of sleep's role in memory consolidation and synaptic plasticity. Recent evidence highlights that high brain‐derived neurotrophic factor (BDNF) levels, a protein enabling neuroplasticity and memory functions, could play a protective role in age related cognitive impairment. We examined the association between total sleep time and cognition, and BDNF levels as a potential modifier. Method Third Generation, Omni 2, and New Offspring cohorts from the Framingham Heart Study Exam 2 (2008‐2011) were included (n=2,344; age 48(9.1) y; 48%F; Table 1). Self‐reported total sleep duration was categorized as: short sleep duration (≤6h), average sleep (7‐8h, reference), and long sleep duration (≥9h). A composite measure of global cognition was calculated from neuropsychological tests, including Trails B, visual reproduction (VR), logical memory (LM), and similarities. A multivariable linear regression estimated the association between sleep duration and global cognition, and individual cognitive tasks. We further tested effect modification by BDNF level (median split). Results Long sleep duration was associated with worse global cognition (β±SE: ‐2.19 ±0.06; p<.001), compared to average sleep (Table 2). The association between sleep duration and individual cognitive tests are shown in Table 2. BDNF levels significantly modified the association of sleep duration with global cognition (p=0.03). Long sleep duration was associated with poorer global cognition (‐0.17±0.08; p=0.04) in persons with lower BDNF, but not in those with higher BDNF levels (Table 3). Finally, short sleep duration was associated with poorer global cognition (‐0.1±0.05; p=0.04) only among those with higher BDNF (Table 3). Conclusion Long sleep duration was associated with poorer global cognition, an effect most notable in those with lower BDNF levels. Short sleep duration was also associated with worse global cognition, but in those with higher BDNF. An appropriate sleep duration may promote neuronal integrity and prevent age‐related cognitive disorders. Further studies shall elucidate the role of BDNF in the interplay between sleep duration and cognition.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".