The correlation of cognitive dysfunction with serum brain-derived neurotrophic factor level in depression patients
Bibliographic record
Abstract
Objective To investigate the characteristics of cognitive dysfunction in patients with depression, and identify the correlation between cognitive dysfunction and serum brain-derived neurotrophic factor(BDNF) level. Methods All participants including 73 depressed patients and 71 healthy controls were received clinical and cognitive assessments at admission, the depression group was divided into two groups by the score of Beijing version of the Montreal Cognitive Assessment (MoCA-BJ), one was depression with cognitive dysfunction group which had 36 cases, the other was depression without cognitive dysfunction group which had 37 cases.Concentration of BDNF was measured by the ELISA method. Results Cognitive impairments were found in numerous cognitive domains of depressed patients, including visuospatial and executive abilities, attention, delayed recall and orientation(P 0.05), and the levels were significantly lower than that in healthy people ((16.55±7.47)ng/ml, P 0.05). Conclusion Depression patients have cognitive dysfunction in numerous cognitive domains, including visuospatial and executive abilities, attention, delayed recall and orientation.Serum BDNF level is closely related with depression, while, it has no obvious relationship with cognition function in depression. Key words: Depression; Cognitive dysfunction; Brain-derived neurotrophic factor
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".