Decreased temporal variabilities of functional connectivities in insula and lingual gyrus are associated with better early treatment response in patients with panic disorder
Bibliographic record
Abstract
Background Panic disorder is a common disabling condition with limited biomarkers. We aimed to explore the diagnostic and treatment response prediction value of functional temporal variability in people with panic disorder. Methods Patients with panic disorder and healthy controls received resting-state functional magnetic resonance imaging scans and assessments. After 2 weeks of treatment, the patients with panic disorder were divided into remitted (RPD; n = 39) or nonremitted (NRPD; n = 43) subgroups. Baseline temporal variability was analyzed between the panic disorder and control groups as well as between RPD and NRPD subgroups. Results Our sample included 82 patients with panic disorder (39 RPD, 43 NRPD) and 105 controls. The panic disorder group showed decreased temporal variability in the left posterior cingulate gyrus (PCG), right lingual gyrus, right fusiform gyrus, and right thalamus (all p < 0.05, Bonferroni-corrected). A combination of variability in the lingual gyrus, PCG, and thalamus had optimal predictive value for distinguishing between the panic disorder and control groups (area under the curve = 0.776, sensitivity = 0.781, specificity = 0.732). In addition, the RPD subgroup showed significantly lower temporal variability in the left insula, right PCG, and bilateral lingual gyrus than the NRPD subgroup and control group (all p < 0.05, Bonferroni-corrected). Variability in the left insula and left lingual gyrus negatively correlated with the reduction rate of panic symptoms (all p < 0.05, Bonferroni-corrected). Limitations Functional brain images were collected only at baseline and may have been affected by medication use. Also, the follow-up period was only 2 weeks; sustained clinical remission may require longer follow-up. Conclusion Combining lingual gyrus, PCG, and thalamus temporal variability alterations helped distinguish patients with panic disorder from healthy controls. The temporal variability in the insula and lingual gyrus are potential biomarkers for the treatment of panic disorder.
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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".