Examining the Impact of Pediatric Arterial Ischemic Stroke on Cerebral Blood Flow within the Hippocampus and its Relationship with Observed Neurological Deficits
Bibliographic record
Abstract
Abstract authors: Ethan Luk¹, Kirstin Walker, Hannah Bernstein, Andrea Kassner¹, Amanda Robertson¹, Trish Domi¹, Pradeep Krishnan¹, Prakash Muthusami¹, Manohar Shroff¹, Nicholas Stence², Timothy Bernard², Gabrielle deVeber¹, Adam Kirton³, Helen Carlson³, Andrea Andrade⁴, Mubeen Rafay⁵, Bruce Bjornson⁶, Danny Kim⁷, Max Wintermark⁸, Nomazulu Dlamini¹ ¹The Hospital for Sick Children, ²Children's Hospital Colorado, ³Alberta Health Services, ⁴London Health Services Centre, ⁵Health Sciences Centre Winnipeg, ⁶The University of British Columbia, ⁷BC Children's Hospital Research Institute, ⁸The University of Texas Abstract body: In this study, the impact of Cerebral Blood Flow (CBF) in non-ischemic brain regions is analyzed measure stroke severity. The hippocampus is a complex brain structure in the temporal lobe and plays a role in learning, memory and spatial navigation. Monitoring hippocampal CBF after AIS may help in understanding its role in childhood development, and allowing for stroke outcome predictions. CBF within the ipsilesional (stroke hemisphere) and contralesional (non-stroke hemisphere) hippocampi was assessed and associated with neurological and sensorimotor deficits observed at acute, subacute (3-7 days post-stroke) and chronic (3 months post-stroke) phases of stroke recovery. Nine pediatric stroke patients (mean age 14.89 ± 2.85, 4 Male) with unilateral, non-hippocampal stroke lesions were scanned using arterial spin labelling MRI in a 3T Siemens MRI scanner with a 2D pulsed labeling scheme. Neurological outcome was evaluated with the Pediatric Stoke Outcome Measure (PSOM) at 3-7 days and at 3 months post-stroke. Mean CBF at the hippocampi were compared to seven healthy controls (mean age 14.53 ± 1.43, 2 Male). Mean CBF (mL/100g/min) in the ipsilesional and contralesional hippocampi were 52.77 ± 10.98 and 54.69 ± 14.24 respectively. Mean CBF in the control group was found to be greater at 61.14 ± 12.30. ANOVA between groups revealed an F-statistic of F=1.24 (p=0.30) and a post hoc one tailed t-test between the ipsilesional and control group yielded a t-statistic of t=1.55 (p=.067). A negative correlation of ρ=-0.77 (p=.025) was observed between CBF ratios in intrasubject hippocampi and the PSOM score observed at the acute timepoint. CBF ratios against PSOM score at three months post-stroke showed a Spearman coefficient of ρ=-0.96 (p<<.001). Intrasubject CBF between hippocampi at the acute timepoint was found to be a strong indicator of neurological and sensorimotor deficits at three months ponths post-stroke. A larger sample size is required to determine validity.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.002 | 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".