Accelerated intermittent theta burst stimulation combined with cognitive training modulates cortical plasticity and brain activation in patients with amnestic mild cognitive impairment
Bibliographic record
Abstract
Amnestic mild cognitive impairment (aMCI) is the prodromal period of Alzheimer's disease without effective treatment. This research aimed to investigate the effects of accelerated intermittent theta burst stimulation (iTBS) combined with adaptive cognitive training (COG) on cognitive function in aMCI patients and explore the underlying neural mechanisms. Twenty-four aMCI patients participated in either the real (n = 12) or sham (n = 12) stimulation group. Both groups received adaptive COG, which comprised three sessions of real or sham iTBS delivered on the left dorsolateral prefrontal cortex (DLPFC) once a day for 14 days. The primary outcomes were the Montreal Cognitive Assessment (MoCA) and Alzheimer's Disease Assessment Scale-Cognitive Subscale (ADAS-Cog) scores. Secondary outcomes were changes in cortical plasticity measured by transcranial magnetic stimulation and brain activation monitored by functional near-infrared spectroscopy (fNIRS). Patients were evaluated before and after the intervention. Patients with aMCI who received iTBS combined with COG had a significant improvement in cognitive performance, as assessed by the ADAS-Cog and N-back. In the iTBS+COG group, cortical plasticity measured 30 min post-intervention correlated with ADAS-Cog changes (r = -0.59, p = 0.043). Furthermore, this plasticity was associated with 1-back activation (r = -0.58, p = 0.050), and 2-back activation correlated with ADAS-Cog changes (r = -0.59, p = 0.042). Accelerated iTBS targeted to the left DLPFC combined with adaptive COG promoted cognitive improvement in aMCI patients more effectively by modulating cortical plasticity and brain activation. Cortical plasticity and brain activation might be valuable measurements for understanding cognitive function (Chinese Clinical Trial Registry: ChiCTR2400087943).
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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 | 0.000 |
| 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) | 0.000 | 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".