Regional gray matter volume is associated with motor imagery performance in children with and without developmental coordination disorder
Bibliographic record
Abstract
To date, the neurobiological principles that underlie poor motor imagery (MI) performance in children with developmental coordination disorder (DCD) remain poorly understood. To provide new insights into the neuro-structural correlates of MI performance in DCD, this study examined the association between the volume of gray matter regions and MI performance in a sample of 65 children (33 females, 24 children with DCD) aged 6 to 14 yr (mean age = 10.07, SD = 2.64). Implicit MI performance was assessed using a hand laterality judgment task. Regional volumes of frontal-motor, parietal, and cerebellar regions were derived from T1-weighted neuroimaging data. Relative to typically developing children, children with DCD showed less efficient MI performance on the hand laterality judgment task and had smaller cortical volumes in frontal and cerebellar regions. Partial correlations demonstrated that smaller gray matter volumes in frontal and parietal regions were associated with less efficient MI performance in children with and without DCD. These findings provide novel insight into the neurobiological basis of MI performance in children with and without DCD and highlight the possible contribution of gray matter morphological properties to compromised internal models in children with DCD.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".