Indication of abnormal peripheral sensory processing of rotational stimulation in ADHD
Bibliographic record
Abstract
Attention Deficit Hyperactivity Disorder (ADHD) has been associated with motor abnormalities. Given the importance of the vestibular system in motor control, the investigation of the peripheral vestibular response is a promising area of ADHD research, which could lead to an improved understanding and management of the disorder. This study aimed to investigate the evoked peripheral vestibular response to rotational stimuli in ADHD affected adults, using Electrovestibulography (EVestG). Data was collected from 6 ADHD affected adults (2 males, 4 females) and contrasted with that of a Control group comprised of 30 individuals (10 males, 20 females). Raw data was 120 Hz high pass filtered and analyzed using the Neural Event Extraction Routine to identify local field potentials, which represent the summed activity of the components of the inner ear. The inter field potential intervals (IFPI) were calculated as the time intervals between field potentials. Analysis of the IFPI indicated that the ADHD group exhibited significantly shorter periods between field potentials generated in the right ear during left rotational acceleration than Controls (unpaired, two-tailed Student's t-test assuming unequal variance, p<0.05). However there was no significant difference between groups for left ear signal during right rotational acceleration. This preliminary study provides an indication as to the possibility of lateralized, abnormal inner ear responses to kinematic stimuli in the ADHD affected population. However, further studies are required to validate and elucidate this data.
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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) | 0.002 | 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".