Differences in Saccadic Eye Movements in Subjects at High and Low Risk for Panic Disorder
Bibliographic record
Abstract
BACKGROUND: Panic disorder (PD) has a strong genetic component showing high heritability rates and familial aggregation. Moreover, there is evidence for associations between parental PD and patterns of psychopathology. So far, little is known about possible endophenotypes representing premorbid vulnerability markers in high-risk subjects for PD. In the present study, we investigated saccadic eye movement (SEM) as an index of CNS inhibitory function in subjects at high risk for PD. METHODS: 132 healthy children at high and low familial risk for PD were included in the study. Basal SEM parameters were obtained using an electro-oculography (EOG) based system measuring peak saccadic eye velocity (pSEV), latency and accuracy. Moreover, with regard to self rating scales, state-trait-anxiety (STAI-C), childhood behavioral inhibition (CSRI), and anxiety sensitivity (CASI) were assessed. RESULTS: There was a significant overall difference for basal SEM parameters across groups as revealed by MANCOVA (F7,118=2.184, p=.040). A significant influence was found for the covariate age, while gender and puberty status had no influence on SEM. High-risk (HR) subjects showed significantly lower pSEV. Moreover, levels of state and trait anxiety were higher in HR children (F1=5.429, p=.021). DISCUSSION: In our sample, measurement of pSEV allowed discrimination between children at high and low risk for PD. Since these results argue for possible alterations of saccadic function in high risk subjects, differences in underlying neurobiological mechanisms might be discussed as a possible endophenotype of PD.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 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".