Unique <scp>CT</scp> Perfusion Imaging in a Case of <scp>H</scp> a <scp>NDL</scp> : New Insight into <scp>H</scp> a <scp>NDL</scp> Pathophysiology and Vasomotor Principles of Cortical Spreading Depression
Bibliographic record
Abstract
BACKGROUND: The etiology of HaNDL is not known. Recent neuroimaging studies have suggested that there may be altered cerebrovascular blood flow during acute episodes. However, what exactly these vascular changes represent and how they may relate to the overall pathogenesis of HaNDL is uncertain. CASE: A 42-year-old, right-handed male, presented with acute aphasia and right arm weakness. Urgent CT/CT-angiogram were normal except for an incidental hypoplastic right anterior cerebral artery (ACA) A1 segment. However, CT perfusion revealed global left hemisphere hypoperfusion in the range of oligemia. Also, the right ACA territory, supplied by the dominant left A1, shared the same pattern of hypoperfusion. Further investigations and clinical course were consistent with HaNDL. DISCUSSION/CONCLUSIONS: The pattern of global left hemispheric hypoperfusion seen in this case of HaNDL supports a hypothesis of secondary oligemia induced by a hemispheric wave of cortical spreading depression (CSD). However, the extension of hypoperfusion to the right ACA territory represents a phenomenon not previously reported in this field. We speculate that the direct spread of CSD-induced vasomotor changes across the anomalous vasculature could account for this finding. This case provides a valuable contribution toward understanding HaNDL pathophysiology and in doing so may also yield broader implications regarding neurophysiological principles of CSD.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".