Randomized, crossover, sham-controlled, double-blind study of transcranial direct current stimulation of left DLPFC on executive functions
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Transcranial direct current stimulation (tDCS) is a non-invasive brain stimulation technique commonly used to modulate cognitive functions; so-called "anodal" stimulation is considered to increase cortical excitability while "cathodal" stimulation is presumed to have the opposite result. Yet, a growing number of recent studies question the robustness of this polarity-dependent effect, namely because of the important inter-individual variability with regards to tDCS modulatory effects. A plausible reason for this heterogenous response may lay in task impurity issues in the evaluation of cognitive functions. OBJECTIVE: To address the question of task impurity the NIH-Examiner, a neuropsychological test battery that uses latent variables, which assess the common variance across multiple measures of a given concept, was administered to 24 healthy individuals following tDCS. This battery contains 11 tasks and provides latent variables for general executive functioning, fluency, cognitive control and working memory. METHODS: Anodal, cathodal, and sham stimulation (20 minutes, 1.5 mA) was administered over left dorsolateral prefrontal cortex and right supra-orbital area in a randomized, crossover, sham-controlled, double blind protocol. RESULTS: Factorial scores and task performance indices of executive function were not modulated by tDCS. CONCLUSIONS: Offline tDCS has limited impact on executive functions at both the task and factorial levels. This suggests that reducing task impurity does not increase the effectiveness of tDCS in modulating cognitive functions.
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.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| 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 it