15 - Effects of Low Field Magnetic Stimulation (LFMS) on Proliferation and Differentiation of Oligodendrocyte Progenitor Cells
Why this work is in the frame
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Bibliographic record
Abstract
Objectives:This study studied the cellular mechanism of Low field magnetic stimulation (LFMS), a novel non-invasive brain stimulation technology for neuropsychiatric disorders.Background:Background and aims LFMS is a neuromodulation technology providing rapid mood improvement in patients with mood disorders. The exact mechanism of LFMS is unclear. Oligodendrocytes (OLs) play critical roles in regulating emotion and cognition. OL deficits have been associated with mood disorders and other psychiatric conditions. This aim of this study was to determine the effects of LFMS on the development of OL cells.Materials and Methods:Materials and methods: CG4 cells, an OL progenitor cell line, were treated with LFMS for 20 min daily for 5 days. The proliferation was measured by MTT and LDH levels; the differentiation of the CG4 cells was examined using cell biomarkers GFAP (astrocyte), Olig2 (OLs) and Ki-67 (cell proliferation), respectively. Key modulating factors for OL proliferation or differentiation (Olig1 and Olig2, p-Akt and p-ERK) were analyzed.Results and Conclusions:Results: LFMS treatment enhanced the OL proliferation through an activated p-ERK pathway. During differentiation, LFMS elevated the expression of Olig2, but decreased GFAP, suggesting that LFMS promoted CG4 cells developing into OLs, not astrocytes. Our findings suggest that LFMS altered OL development. This study provided evidence of the role of OLs in the treatment of mood disorders and a possible mechanism of LFMS in treating psychiatric disorders.
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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 it