Neonatal cerebral hemodynamics under elevated intracranial pressure: a near-infrared spectroscopy study in piglets
Bibliographic record
Abstract
Abstract Background Elevated intracranial pressure (ICP) is a common postnatal complication in premature infants, particularly those with very low birth weight, and it is associated with hemodynamic impairments. Continuous monitoring of cerebral blood flow (CBF) and oxygenation may enable early detection and inform clinical management. We hypothesized that non-invasive, bedside optical spectroscopy measurements of CBF and oxygenation are sensitive to abrupt increases in ICP. Methods A hybrid optical system combining broadband near-infrared spectroscopy (bNIRS) and diffuse correlation spectroscopy (DCS) was used to monitor cerebral oxygenation and blood flow in 7 newborn piglets. ICP was gradually increased through saline infusion into the ventricles, and changes in CBF, oxygen saturation (StO 2 ), oxyhemoglobin (HbO₂), deoxyhemoglobin (Hb), and the oxidation state of cytochrome-c-oxidase (oxCCO) were continuously monitored with the hybrid optical device. Results Elevated ICP was associated with decreased StO 2 and CBF, while oxCCO remained stable, indicating unchanged cerebral oxygen metabolism. Across all parameters, segmented linear regression revealed a breakpoint at which ICP alterations led to steeper slopes and in turn, larger hemodynamic changes. Conclusions This study demonstrates that bNIRS/DCS can effectively detect ICP-induced changes in cerebral hemodynamics and shows promise as a non-invasive neuromonitoring tool for neonatal critical care. Impact Tissue optical spectroscopy can detect the hemodynamic effects of elevated ICP and could be used to guide interventions aimed at mitigating these effects. Breakpoints identified in hemodynamics highlight a compensatory mechanism, after which ICP changes lead to a larger impact on cerebral hemodynamics. Elevated ICP leads to distinct hemodynamic changes that may precede injury. This study supports the use of tissue optical spectroscopy for non-invasive neonatal neuromonitoring.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".