Enhancement of neurophysiological signatures of working memory by combined yoga and tDCS
Bibliographic record
Abstract
Abstract Transcranial direct current stimulation (tDCS) is a non-invasive neuromodulation technology that can modulate cortical excitability. Similarly, yoga has been found to influence neuronal activity and cognition. The aim of this study was to investigate the impact of combined yoga and tDCS on event-related potential (ERP) components during an N-Back working memory task. In a randomized, double-blind, cross-over design study, 22 healthy participants underwent a yoga/active tDCS session (2mA; 20min; anode on F3, cathode on F4) or a yoga/sham tDCS session on two different days. During the N-Back task, ERP components were obtained before and after each intervention. Results show that active tDCS plus yoga was associated with significant changes in the amplitude of the P200 component for the 2-Back in Fz and F3 channels and P300 for 3-Back in F3 and Pz electrodes. These results suggest that combining behavioral and electrical neuromodulation techniques may have the potential to enhance cognition and neurophysiological effects.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".