Simulation of Magnetic Field Induced Current for Magnetic Seizure Therapy
Bibliographic record
Abstract
Magnetic seizure therapy (MST) is currently on trial as an alternative to Electro-convulsive therapy (ECT) to treat patients suffering from treatment resistant depression (TRD). This paper is concerned with developing a deeper understanding of the mechanics behind MST by employing finite element analysis (FEA) of brain. To this end, a model that consists of concentric spherical layers that represent a realistic anatomical head model has been employed. Simulations performed via COMSOL Multi-physics helped identify the dimensions and coil types for the MST device as well as the angular probing orientations. Largest induced current due to the externally imposed magnetic field was found in the cerebrospinal fluid (CSF), which act as a barrier to induce current in the gray matter. Different copper coil configurations were experimented with namely the cap coil, stacked coil and the multi-stacked coil. These studies are envisaged to provide a quantitative approach to virtually simulate the MST procedure and hence enhance the benefits clinical trials that are currently underway.
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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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".