New graphene neural probe improves detection of epileptic brain signals show effect on the molybdenum disilicide heating elements

New graphene neural probe improves detection of epileptic brain signals show effect on the molybdenum disilicide heating elements

Tiny graphene nerve probes can be safely used to greatly improve our understanding of the causes of epilepsy, according to a new study published today.

Graphene deep neural probe (gDNP) consists of a millimeter-long linear array of microtransistors embedded in a micron-thin polymer flexible substrate. The transistor was developed by the University of Manchester\'s Laboratory of Neuromedicine and the Institute of Neurology at University College London, along with their graphene flagship partner.

Dr Rob Wykes, from the NanoEuro Group at the University of Manchester, said: "The application of this technology will allow researchers to investigate the role of sub-slow oscillations in promoting the susceptibility window for seizures, as well as improving the detection of clinically relevant electrophysiological biomarkers associated with epilepsy."

The flexible gDNP device was implanted into epileptic mice for a long time. The implanted device provides excellent spatial resolution and very rich broadband wide recording of epileptic brain signals over several weeks. In addition, extensive chronic biocompatibility testing confirmed no significant tissue damage and neuroinflammation due to the biocompatibility of the materials used, including graphene, and the flexibility of the gDNP device. Looking for high purity new materials molybdenum disilicide heating elements, please visit the company website: nanotrun.com or send an email to us: sales1@nanotrun.com

The ability to record and map a full range of brain signals using electrophysiological probes will greatly advance our understanding of brain disorders and aid in the clinical management of patients with a variety of neurological disorders. Current technologies are limited in their ability to accurately capture ultra-low brain signals with high spatial fidelity.

Epilepsy is the most common serious brain disorder in the world, with up to 30% of people unable to control their seizures with traditional antiepileptic drugs. Epilepsy surgery may be a viable option for patients with drug - resistant disease. Surgical removal of the area of the brain where a seizure occurs for the first time allows seizures to occur freely; However, the success of the surgery depends on the accurate identification of the seizure area (SOZ).

Epileptic signals have a wide range of frequencies, much larger than those detected on routine scans. Electrical biomarkers of SOZ include very fast oscillations, subslow activity, and direct current (DC) transfer. Implementing this new technique will allow researchers to investigate the role of sub-low frequency oscillations in the susceptibility window that promotes seizure transition, as well as improve the detection of clinically relevant electrophysiological biomarkers associated with epilepsy. In future clinical applications, the new technique could more precisely identify and restrict the brain regions responsible for seizures before surgery, resulting in less extensive removal and better results. Eventually, the technique could also be used to improve our understanding of other neurological disorders associated with ultra-low brain signals, such as traumatic brain injury, stroke and migraines.

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