Intracranial Biomechanics of Acute Experimental Hydrocephalus in Live Rats
Bibliographic record
Abstract
BACKGROUND: The mechanisms of hydrocephalus formation remain unclear. OBJECTIVE: To measure intracranial biomechanical changes in rats with hydrocephalus. METHODS: Stress-strain relationships were determined by using force-controlled indentation through a craniotomy. Cortical blood flow and intracerebral pressures were monitored. In normal rats, deformability of intracranial contents was examined by applying 100 (20-100 mN) indentation cycles and during a 2-hour stress (100 mN) holding test. Hydrocephalus was induced in 56-day rats by cisternal kaolin injection. Magnetic resonance imaging was used to measure ventricle size and cortical blood flow. RESULTS: Application of a constant small force for 2 hours or 100 cycles of a small indentation caused progressive intracranial deformation. Following kaolin injection, the ventricles of 3- to 4-day, 7- to 9-day, and 12- to 15-day hydrocephalic rats progressively enlarged, the dorsal cerebrum thickness decreased by >40%, and cortical blood flow decreased by ∼20%. After 3 to 4 days, intracranial pressure and intraparenchymal pulse pressure increased significantly by ∼85%, and diminished thereafter. After 7 to 9 days, there was a transient significant increase of the intracranial stiffness (indentation modulus). Viscoelastic strain during application of a constant force significantly increased by >50% at 7 to 9 and 12 to 15 days. CONCLUSION: The observation that very small forces applied exogenously or endogenously (through pulsatile brain micromotions) cause progressive intracranial deformation suggests that the brain behaves in a poroviscoelastic manner. Intracranial pulsatility is increased during the early phases of ventriculomegaly. Small viscoelastic property changes of the intracranial contents accompany the ventriculomegaly. Consolidation of brain tissue by the pulsatile forces likely occurs through displacement of intraparenchymal fluids.
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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 | 0.000 |
| 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 | 0.000 |
| 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".