THE USE OF NONINVASIVE BRAIN STIMULATION TECHNIQUES TO MODULATE IMPULSIVITY
Bibliographic record
Abstract
Several of the disorders categorised in the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) are marked by impulsivity, including borderline and antisocial personality disorders, attention deficit hyperactivity disorder, conduct disorder and substance use disorders, just to name a few. The behavioural manifestations of impulsivity are numerous (e.g., suicidality, reckless spending, criminality, acting out on positive or negative emotions), often with undesirable consequences for the individuals involved and others. The knowledge base in respect of the neurobiological underpinnings of impulsivity has expanded significantly over the past few decades, providing the impetus to develop specific interventions to target impulsivity. Noninvasive brain stimulation techniques, such as Transcranial Magnetic Stimulation (TMS) and Transcranial Direct Current Stimulation (tDCS), have been used to modulate impulsivity with promising results. This article aims to provide a brief overview of the literature in the field before addressing the implications for future research and clinical practice.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".