Functional reorganization of the corticospinal tract in a pediatric patient with an arteriovenous malformation
Bibliographic record
Abstract
Presurgical mapping in a pediatric patient diagnosed with arteriovenous malformation in the left hemisphere revealed a case of apparent functional reorganization of a white matter tract. Magnetoencephalography (MEG) was used to identify the motor fields following hand movement. As expected, motor field activity for the left hand was detected in the right hemisphere. Surprisingly, MEG activity was also detected in the right hemisphere following movement of the right hand. MEG activations served as seeds from which to launch diffusion tensor imaging tractography to delineate the corticospinal tracts (CSTs). Using the MEG activation for movement of the right hand, we delineated a tract in the right hemisphere. A tract corresponding to motor function for the left hand was also delineated in the right hemisphere. For comparison, the CSTs of the patient were launched from anatomical landmarks at the precentral gyrus, and were successfully delineated in each hemisphere. Our findings suggest that the functional delineation of white matter pathways may be more sensitive than anatomical delineation for identifying reorganization of the developing brain in response to a lesion. This study is, to our knowledge, the first description of a functional reorganization of an existing tract to serve as a CST in children.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".