Magnetoencephalographic analysis of cortical activity in adults with and without Down syndrome
Bibliographic record
Abstract
BACKGROUND: This preliminary study served as a pilot for an ongoing analysis of spectral power in adults with Down syndrome (DS) using a 151 channel whole head magnetoencephalography (MEG). The present study is the first step for examining and comparing cortical responses during spontaneous and task related activity in DS. METHOD: Cortical responses were recorded with a 151 channel whole head MEG system in three adults with DS and three age-matched adults without DS. MEG data were obtained at rest with eyes open and during observation of point-light displays of human motion and object motion. Data from both groups were evaluated by spectral analysis. RESULTS: The preliminary results showed greater alpha (8-14 Hz) power particularly in the occipital and parietal areas during the eyes open condition in the adults with DS in relation to a normal comparison group. The visual task had little effect on alpha power in the comparison group. Engaging in the visual task reduced power in alpha across all regions in the DS group to the level observed in comparisons. In the gamma band (30-50 Hz), power values were similar across both groups for the eyes open condition. In the comparison group, large reductions in gamma were observed in the occipital and bilateral temporal areas during the visual task. This change was not observed in the DS group. CONCLUSIONS: The results from this pilot study suggest that MEG may be useful in characterizing task-specific changes in cortical activity in individuals with DS. Future studies with a larger group of individuals will further contribute to our understanding of the neurophysiology of Down syndrome.
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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 | 0.001 | 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".