Association between Levels of Cortical Excitation/Inhibition and Clinical Response to Theta Burst Stimulation in Individuals with Major Depressive Disorder
Bibliographic record
Abstract
Introduction.Theta burst stimulation (TBS), a form of repetitive transcranial magnetic stimulation (TMS), is an effective treatment for major depressive disorder (MDD).TBS is thought to modulate cortical excitation and inhibition, which are thought to be implicated in the pathophysiology of MDD.This study assesses excitation/inhibition levels and investigates their potential link with TBS response.Methods.Thirty-seven MDD participants and thirteen healthy controls were recruited.TBS treatment was administered five days/week over 4-6 weeks.At baseline, a magnetic resonance spectroscopy (MRS) scan of the anterior cingulate cortex and TMS to the left motor cortex were performed to probe excitation/inhibition levels.The primary outcome measure was the 17-item Hamilton Rating Scale for Depression (HRSD-17) score.Results.Cortical excitation was lower in MDD participants than in healthy controls, and baseline levels were linked to improvements in mood symptoms.Conclusion.Our results suggest that baseline cortical excitation could help predict TBS therapeutic response.iii Acknowledgments Completing this journey has been such an amazing experience, all thanks to the unwavering support from some truly incredible individuals, who have my heartfelt gratitude.I would like to express my sincere gratitude to Drs.Sara Tremblay, and Alfonso Abizaid for their invaluable belief in me and the learning opportunities they provided.Their unwavering support and guidance have been my guiding light throughout this journey.I would also like to extend my gratitude to my family, with a special mention of my beloved spouse, Shayan.His enduring patience and unwavering encouragement have provided me with a solid foundation and constant support that I can always rely on.His presence has been a source
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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) | 0.002 | 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".