Analysis of the Dorsolateral Prefrontal Cortex MNI Coordinates
Bibliographic record
Abstract
Abstract In recent years, new non-invasive brain stimulation techniques are appearing which, based on neuromodulation, allow the treatment of pathologies such as pain or depression. One of the target regions where these techniques are usually applied is in the dorsolateral prefrontal cortex (DLPFC) and the result of these procedures depends on the correct and precise location of the point on the scalp close to this region. According to the literature, the most common methods that are currently used for the localization of the DLPFC are the Neuroimaging and Neuronaviagtion Systems, the 5cm method, the BeamF3 method and the international 10–20 System. Montreal Neurological Institute (MNI) space is a 3-dimensional coordinate system (also known as ‘atlas’) of the human brain, used to map the location of brain regions independent of individual differences in the size and overall shape of the brain. This study reviews the published articles that attempt to locate DLPFC positions, evaluate the discrepancies and quantify the differences among different authors.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.021 | 0.005 |
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".