Long Term Antidepressant Effects of Deep Brain Stimulation for Treatment Resistant Depression – A Research Protocol
Bibliographic record
Abstract
Introduction: Individuals with treatment resistant depression (TRD) are those with severe major depressive disorder who fail to respond to conventional pharmacological treatment. As a result, novel technologies in the field of neuromodulation have been investigated to alleviate depressive symptoms in this population. One such neuromodulation therapy is deep brain stimulation (DBS), in which electrodes are neurosurgically implanted into target regions of the brain associated with depression, such as the subgenual anterior cingulate cortex (sgACC). While previous studies have explored the use of DBS as a therapy for TRD, few studies with adequate statistical power have explored the sustained antidepressant effects of DBS when targeting the sgACC of the brain. Methods: This study aims to explore the long-term effects in DBS patients for TRD by measuring changes in cerebral blood flow and cerebral metabolic rate in the sgACC, and its correlation to changes in self-reported depressive symptoms. Forty-five participants will be enlisted into this study. Psychometric evaluation and positron-emission topography imaging will be conducted prior to neurosurgery. Electrodes will be implanted into the sgACC, with extension wires attaching the electrodes to the internal pulse generator. In the six-week blinded phase, progressive increases in stimulation will be administered within the blinded group and sham stimulation in controls. The three-month open label phase will administer the same degree of high-frequency biphasic stimulation to the control and blinded groups and assess depression scores, neuroimaging, and adverse events. After cessation of active stimulation, a one-year, three-year, seven-year, and ten-year follow-up will monitor changes in antidepressant effects of DBS using simple linear contrasts and paired-sample t-tests. Expected Results: This study expects to find a sustained antidepressant response marked by decreases in sgACC metabolism and cerebral blood flow, and a reduction in self-report depression scores. Discussion: The use of DBS shows promise as a successful treatment intervention with sustained long-term effects for individuals with TRD. Additional secondary outcomes to be expected are improved quality of life and health behaviours. Conclusion: Though minor fluctuations are expected due to the presence of comorbidities, this study expects to showcase the long-term efficacy of deep brain stimulation for treatment resistant depression.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.010 | 0.007 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.030 | 0.008 |
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".