Morphovolumetric changes after EMDR treatment in drug-naïve PTSD patients
Bibliographic record
Abstract
INTRODUCTION: Few studies have investigated the effects of efficacious psychotherapy on structural alterations of discrete brain regions associated with posttraumatic stress disorder (PTSD). We therefore proposed to evaluate the neurobiological effects of eye movement desensitization and reprocessing (EMDR) on 19 patients with drug-naïve PTSD without comorbidity, matched with 19 untreated healthy controls. METHODS: We administered the Clinician Administered PTSD Scale (CAPS) and conducted brain MRI measurements (with Optimized Voxel-Based Morphometry). Patients received 12 EMDR sessions over three months. Then patients and controls were reassessed. RESULTS: At baseline, grey matter volume (GMV) differed significantly between patients and controls (F 1,35 =3.674; p=.008; η 2=.298). Analyses of 3-month scans showed no changes for controls, while significant changes were highlighted for patients post-EMDR, with a significant increase in GMV in left parahippocampal gyrus, and a significant decrease in GMV in the left thalamus region. The diagnosis of PTSD was effectively eliminated in 16 of 19 patients, reflected in a significant improvement on the CAPS (t(35)=2.132, p<.004). DISCUSSION AND CONCLUSIONS: Results indicated post-EMDR changes for patients in brain morphology. We discuss whether EMDR’s mechanism of action may work at the level of the thalamus, an area implicated in PTSD pathology.
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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 | 0.000 |
| 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) | 0.002 | 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".