Greater than 50 million individuals worldwide stay with epilepsy, with roughly half of them being youngsters. For about one-third of those sufferers, drugs don’t management their seizures, leaving surgical procedure as the one viable choice for seizure aid. Seizures in 60 p.c of those drug-resistant instances begin in a single a part of the mind, making surgical removing of the affected tissue the best remedy. The commonest reason behind focal epilepsy in youngsters is focal cortical dysplasia (FCD), with kind II being essentially the most prevalent. Nonetheless, precisely figuring out the epileptogenic zone (EZ) throughout surgical procedure might be difficult, which regularly complicates the success of the process.
A brand new research reported in Biophotonics Discovery exhibits promise for bettering surgical precision utilizing Raman spectroscopy, a noninvasive method that analyzes the chemical composition of tissues. Researchers utilized Raman microspectroscopy to tissue samples from pediatric sufferers identified with FCD kind II. By analyzing the biochemical signatures of particular person cells, the group was in a position to distinguish irregular FCD tissue from wholesome mind cells with outstanding accuracy. The tactic efficiently recognized FCD tissue with 96 p.c accuracy and differentiated between two subtypes of FCD kind II with 92 p.c accuracy.
These findings counsel that Raman spectroscopy, when used throughout surgical procedure with a fiber optics system, may present real-time steerage for surgeons to extra precisely establish and take away solely the affected tissue, leaving wholesome mind areas intact. Along with bettering surgical outcomes, the method supplies priceless insights into the biochemical adjustments which will contribute to the event of epilepsy. Finally, this strategy may improve seizure management and surgical success in youngsters affected by drug-resistant epilepsy.
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Journal reference:
Tran, T., et al. (2025). Single-cell Raman spectroscopy detects pediatric focal cortical dysplasia. Biophotonics Discovery. doi.org/10.1117/1.BIOS.2.1.015002.