8,700 Studies Reviewed. 87.0% Found Biological Effects. The Evidence is Clear.
Shield Your Body
Whole Body / General5,364 citations

Terahertz radiation affects the dynamics of neurons by decreasing membrane area ratio

Bioeffects Seen

Ma S, Li S, Wang H, Li Y, Lu C, Li X · 2025

Share:

Terahertz radiation can modulate neuronal morphology and firing patterns through changes in membrane structure, potentially offering a novel approach for neuromodulation in treating neuronal degenerative diseases.

Plain English Summary

Summary written for general audiences

This study investigated how terahertz radiation affects neuronal morphology and function in a technical model system. The researchers found that terahertz radiation decreased the membrane area ratio of neuronal cytosol to protrusions, which correlated with changes in neuronal firing patterns, including reduced inter-cluster discharge frequency and action potential amplitude, while increasing intra-cluster discharge and postsynaptic current peaks.

Why This Matters

This appears to be a computational or in vitro modeling study examining terahertz-induced effects on neuronal properties rather than in vivo animal research. The findings propose a mechanistic link between morphological changes and electrophysiological alterations, though the translation to therapeutic applications would require further validation.

Exposure Information

Specific exposure levels were not quantified in this study.

Cite This Study
Ma S, Li S, Wang H, Li Y, Lu C, Li X (2025). Terahertz radiation affects the dynamics of neurons by decreasing membrane area ratio.
Show BibTeX
@article{ma_s_li_s_wang_h_li_y_lu_c_li_x_ce3359,
  author = {Ma S and Li S and Wang H and Li Y and Lu C and Li X},
  title = {Terahertz radiation affects the dynamics of neurons by decreasing membrane area ratio},
  year = {2025},
  doi = {10.1038/s41586-025-09422-z},
  
}
DOI: 10.1038/s41586-025-09422-zPubMed: 40339995

Quick Questions About This Study

This appears to be a database classification error. The study focuses on artificial intelligence reasoning capabilities through reinforcement learning, not electromagnetic field exposure or health effects. It should not be included in EMF research collections.
No, DeepSeek-R1 is an artificial intelligence language model developed using reinforcement learning techniques. The study has no connection to electromagnetic field exposure, biological effects, or health outcomes related to EMF research.
While AI techniques might theoretically assist in analyzing EMF research data, this particular study focuses solely on improving AI reasoning capabilities. It contains no electromagnetic field exposure parameters, biological endpoints, or health-related findings.
No EMF frequencies were tested. This study developed an AI model using computational reinforcement learning methods. The research involved no electromagnetic field exposure, frequency testing, or biological systems that would be relevant to EMF health research.
No, this study demonstrates that AI models can develop better reasoning through reinforcement learning algorithms. It has no connection to electromagnetic field exposure effects on human cognition, brain function, or biological reasoning processes.