MB-96IMPAIRED NEURAL FUNCTION DURING VISUAL-MOTOR PERFORMANCE IN CHILDREN TREATED FOR BRAIN TUMOURS
Bibliographic record
Abstract
Children treated with cranial radiation therapy for brain tumours exhibit substantial cognitive deficits that may be mediated by impaired neural functioning. We used magnetoencephalography to investigate whether aberrant neural oscillations are present in pediatric brain tumour survivors compared to healthy children during a visual-motor reaction time task. MEG recording (151 channels, VSM MedTech) was acquired for 9 previously irradiated patients and age-matched controls during the visual-motor reaction time task (100 trials in total). Reaction time (RT) was measured along with localized power changes within the visual and motor cortex using beamformer analysis. Patients showed a significantly delayed RT compared to controls (t(2,9) = 2.68, p < 0.05). Beamformer analysis revealed that relative to controls, patients had muted event-related desynchrony and synchrony in the beta (13-29 Hz) and alpha (8-12 Hz) bandwidths in motor and visual cortex and potentiated high gamma activity (50-100 Hz) in the contralateral motor cortex. Furthermore, we found differences in peak gamma frequency of the visually-induced oscillations. Peak frequency was measured in the low gamma range (30-50 Hz) in patients and in the high gamma range (50-100 Hz) in controls. Our findings indicate that aberrant neural responses, characterized by reduced alpha and beta power and increased gamma power within the contralateral motor area, and reduced peak gamma in visual areas, underlie impaired visual-motor reaction time in patients. Gamma-band oscillations play an important role in visual processing and are associated with measures of cortical thickness. These oscillatory results may reflect structural differences between these two populations.
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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) | 0.001 | 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".