Neuromodulation of memory network in patients with Alzheimer’s disease
Bibliographic record
Abstract
Symposium title: Strengths and weaknesses of intracranial electrical stimulation in localizing functions and treating dysfunctions in the human brain Symposium description: Some of the most distinguished leaders in the field will present an overview of how the human brain can be studied with intracranial direct cortical stimulation and how neuropsychiatric disorders can be treated with this approach. They will discuss promises and weaknesses of this approach and suggest future directions. Abstract Alzheimer's disease (AD) is characterized by a profound disruption of cortical networks subserving memory and cognitive function. In an ongoing clinical trial, deep brain stimulation (DBS) of the fornix is being examined to modulate these networks to improve their function. In addition, emerging evidence from animal models and patients suggests that electrical stimulation of these circuits can restore metabolic function, improve cognition, and have reparative and regenerative effects. An update on the state of DBS approaches to treat circuit dysfunction in AD will be presented, along with a discussion of lessons learned. Research Category and Technology and Methods Clinical Research: 1. Deep Brain Stimulation (DBS) Keywords: DBS, Intracranial, Direct Cortical Stimulation
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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".