Near-infrared brain functional characteristics of mild cognitive impairment with sleep disorders
Bibliographic record
Abstract
BACKGROUND Mild cognitive impairment (MCI) has a high risk of progression to Alzheimer’s disease. The disease is often accompanied by sleep disorders, and whether sleep disorders have an effect on brain function in patients with MCI is unclear. AIM To explore the near-infrared brain function characteristics of MCI with sleep disorders. METHODS A total of 120 patients with MCI (MCI group) and 50 healthy subjects (control group) were selected. All subjects underwent the functional near-infrared spectroscopy test. Collect baseline data, Mini-Mental State Examination, Montreal Cognitive Assessment scale, fatigue severity scale (FSS) score, sleep parameter, and oxyhemoglobin (Oxy-Hb) concentration and peak time of functional near-infrared spectroscopy test during the task period. The relationship between Oxy-Hb concentration and related indexes was analyzed by Pearson or Spearmen correlation. RESULTS Compared with the control group, the FSS score of the MCI group was higher (t = 11.310), and the scores of Pittsburgh sleep quality index, sleep time, sleep efficiency, nocturnal sleep disturbance, and daytime dysfunction were higher (Z = -10.518, -10.368, -9.035, -10.661, -10.088). Subjective sleep quality and total sleep time scores were lower (Z = -11.592, -9.924). The sleep efficiency of the MCI group was lower, and the awakening frequency, rem sleep latency period, total sleep time, and oxygen desaturation index were higher (t = 5.969, 5.829, 2.887, 3.003, 5.937). The Oxy-Hb concentration at T0, T1, and T2 in the MCI group was lower (t = 14.940, 11.280, 5.721), and the peak time was higher (t = 18.800, 13.350, 9.827). In MCI patients, the concentration of Oxy-Hb during T0 was negatively correlated with the scores of Pittsburgh sleep quality index, sleep time, total sleep time, and sleep efficiency (r = -0.611, -0.388, -0.563, -0.356). It was positively correlated with sleep efficiency and total sleep time (r = 0.754, 0.650), and negatively correlated with oxygen desaturation index (r = -0.561) and FSS score (r = -0.526). All comparisons were P < 0.05. CONCLUSION Patients with MCI and sleep disorders have lower near-infrared brain function than normal people, which is related to sleep quality. Clinically, a comprehensive assessment of the near-infrared brain function of patients should be carried out to guide targeted treatment and improve curative effect.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".