Phase-amplitude-coupling in the cortico-basal ganglia network during response inhibition
Bibliographic record
Abstract
There is converging evidence demonstrating that the ability to voluntarily stop or prevent movement is controlled via a cortico-basal ganglia-thalamocortical loop. However, the physiological mechanism underlying this network control is unclear. There is growing evidence that concurrent neural activity in different frequency ranges interact and transiently couple, raising interest for its possible role in information processing and motor control. A particular form, phase-amplitude-coupling (PAC), the instantaneous amplitude of a higher-frequency band within a signal is modulated by the instantaneous phase of a lower-frequency band of the same (or a different) signal. The present study investigated whether PAC within the subthalamic nucleus (STN), and between the STN and motor cortex (M1) contribute to the ability to voluntarily stop or prevent movement. Patients with externalized deep brain stimulation electrodes performed a stop-signal task while electroencephalography and STN local field potentials were simultaneous recorded. Patients were instructed to press a button in response to a visual go-signal but try to inhibit this response if a stop-signal was subsequently presented. The time between the go-signal and stop-signal varied using a one-up/one-down staircase algorithm based on stop success/failure. Results revealed an increase in STN-STN PAC between beta phase (10-30Hz) and high frequency oscillation amplitude (150-400Hz) during successful- compared to failed-stop trials, and a decrease in STN-M1 PAC between beta phase (10-30Hz) and gamma amplitude (50-100Hz) during successful- compared to failed-stop trials. These findings provide novel human evidence for the role of PAC within the response inhibition network and a possible mechanism underlying the ability to stop responses.Acknowledgments: Canadian Institutes of Health Research
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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 | 0.000 | 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".