Electrophysiological signatures and effects of pallidal burst stimulation in parkinson’s disease
Bibliographic record
Abstract
Preliminary results (analyses in progress) suggest that amygdala TUS reduces emotional biases, particularly toward positive stimuli (happy faces), and decreases sensitivity to negative feedback, as reflected in reaction times and switching behaviour.Task fMRI shows changes in BOLD signal following amygdala TUS in the amygdala and its connected regions, including the frontal pole (FP), perigenual anterior cingulate cortex (pgACC), and orbitofrontal cortex (OFC).Amygdala TUS led to decreased BOLD signals in pgACC and FP during incongruent relative to congruent trials.In addition, during learning, amygdala TUS resulted in attenuated BOLD signals in the amygdala and lateral OFC when participants repeated the same action as opposed to switching to a different response.In conclusion, by employing TUS, we provide novel causal evidence for the involvement of amygdala-prefrontal circuits in guiding flexible behaviour in response to emotional cues.
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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 | 0.000 |
| 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) | 0.001 | 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".