Giant and Opposite Lithium Isotope Effects on Rat Hippocampus Synaptic Activity Revealed by Multi-Electrode Array Electrophysiology
Bibliographic record
Abstract
INTRODUCTORY SUMMARY Lithium (Li) has been a frontline medication for the treatment of bipolar disorder for decades, but its mechanism of action remains poorly understood 1,2 . While clinically prescribed Li salts consist of a mixture of two stable isotopes, 6 Li and 7 Li, the neurobiological effects of each isotope are only beginning to receive attention. Recent theoretical proposals have suggested that the Li isotopes may exert unique effects in the brain, stemming from quantum phenomena linked to their distinct nuclear spin properties 3–5 . However, aside from earlier observations of isotope-dependent variations in animal behavior 6,7 , direct experimental evidence is lacking. We used multi-electrode array electrophysiology to probe field excitatory post-synaptic potentials (fEPSPs) in rat brain slices and demonstrated that 6 Li and 7 Li have large and opposite effects on synaptic transmission and lead to smaller, but still distinct, differences in synaptic plasticity, particularly, paired-pulse facilitation and the early stages of long-term potentiation. Our results provide direct experimental evidence that Li isotopes exert remarkably different neurological effects, while avoiding many of the interpretive challenges associated with behavioural studies. These findings lay the groundwork for future investigations of quantum phenomena in neuronal activity and promote the idea that Li isotopes are pharmacologically distinct agents.
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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 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".