P.198 Outcomes and connectivity changes in treatment-resistant OCD after MR-guided focused ultrasound capsulotomy
Bibliographic record
Abstract
Background: Treatment-resistant obsessive compulsive disorder (trOCD) is a condition characterized by intrusive thoughts (obsessions) and uncontrollable behaviours (compulsions) unresponsive to conventional therapies. Lesioning both anterior limbs of the internal capsule is effective in ablating the circuitry underlying trOCD pathophysiology. The newest capsulotomy method is MR-guided focused ultrasound (MRgFUS). Here we measured neural networks changes of trOCD patients after MRgFUS capsulotomy using resting state functional MRI (rs-fMRI). Methods: Yale-Brown Obsessive-Compulsive Scale (YBOCS) scores and rs-fMRI data were collected in 6 trOCD patients preoperatively, postoperatively at 3-months and 1-year, along with rs-fMRI from 6 age and sex-matched controls. Independent component analysis, dual regression using the FMRIB software library, and node-node approaches were used with the CONN Toolbox. We also performed a systematic review of existing studies about trOCD resting state networks. Results: TrOCD patients demonstrated significant improvement 1-year postoperatively (mean YBOCS reduction of 41 ± 7%). Dual regression analysis 3-months postoperatively showed significantly greater sensorimotor network signal in controls compared to trOCD groups. Node-node analysis in trOCD found connectivity changed in networks associated with the cortico-striato-thalamo-cortico loop, particularly the salience and limbic networks at 1-year postoperatively. Conclusions: TrOCD patients who underwent MRgFUS capsulotomy demonstrated differences in sensorimotor and cortico-striatal connectivity and significant clinical improvement postoperatively.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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; both teacher heads agree on what is shown here.
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".