A newly developed graphene-based implant can record electrical activity in the brain at extremely low frequencies and over large areas, unlocking the wealth of information found below 0.1 Hz. A new study, just published in Nature Materials, describes how this ground-breaking technology will enhance our understanding of the brain and pave the way for the next generation of brain-computer interfaces.
The body of knowledge about the human brain is keeps growing, but many questions remain unanswered. Researchers have been using electrode arrays to record the brain's electrical activity for decades, mapping activity in different brain regions to understand what it looks like when everything is working, and what is happening when it is not. Until now, however, these arrays have only been able to detect activity over a certain frequency threshold. A new technology developed by the Graphene Flagship overcomes this technical limitation, unlocking the wealth of information found below 0.1 Hz, while paving the way for future brain-computer interfaces.
The new device was developed thanks to a collaboration between three Graphene Flagship Partners (IMB-CNM, ICN2 and ICFO) and adapted for brain recordings together with biomedical experts at IDIBAPS. This new technology moves away from electrodes and uses an innovative transistor-based architecture that amplifies the brain's signals in situ before transmitting them to a receiver. The use of graphene to build this new architecture means the resulting implant can support many more recording sites than a standard electrode array. It is slim and flexible enough to be used over large areas of the cortex without being rejected or interfering with normal brain function. The result is an unprecedented mapping of the low frequency brain activity known to carry crucial information about different events, such as the onset and progression of epileptic seizures and strokes.
For neurologists this means they finally have access to some clues that our brains only whisper. This ground-breaking technology could change the way we record and view electrical activity from the brain. Future applications will give unprecedented insights into where and how seizures begin and end, enabling new approaches to the diagnosis and treatment of epilepsy.
"Beyond epilepsy, this precise mapping and interaction with the brain has other exciting applications," explains José Antonio Garrido, one of the leaders of the study working at Graphene Flagship Partner ICN2. "In contrast to the common standard passive electrodes, our active graphene-based transistor technology will boost the implementation of novel multiplexing strategies that can increase dramatically the number of recording sites in the brain, leading the development of a new generation of brain-computer interfaces." Taking advantage of 'multiplexing', this graphene-enabled technology can also be adapted by some of the same researchers to restore speech and communication. ICN2 has secured this technology through a patent that protects the use of graphene-based transistors to measure low-frequency neural signals.
"This work is a prime example of how a flexible, graphene-based transistor array technology can offer capabilities beyond what is achievable today, and open up tremendous possibilities for reading at unexplored frequencies of neurological activity" noted by Kostas Kostarelos, leader of the Health, Medicine and Sensors Division of the Graphene Flagship.
Andrea C. Ferrari, Science and Technology Officer of the Graphene Flagship, and Chair of its Management Panel added that "graphene and related materials have major opportunities for biomedical applications. The Graphene Flagship recognized this by funding a dedicated Work Package. The results of this study are a clear demonstration that graphene can bring unprecedented progress to the study of brain processes."
This article has been republished from materials provided by Graphene Flagship. Note: material may have been edited for length and content. For further information, please contact the cited source.
Reference: Eduard Masvidal-Codina, Xavi Illa, Miguel Dasilva, Andrea Bonaccini Calia, Tanja Dragojević, Ernesto E. Vidal-Rosas, Elisabet Prats-Alfonso, Javier Martínez-Aguilar, Jose M. De la Cruz, Ramon Garcia-Cortadella, Philippe Godignon, Gemma Rius, Alessandra Camassa, Elena Del Corro, Jessica Bousquet, Clement Hébert, Turgut Durduran, Rosa Villa, Maria V. Sanchez-Vives, Jose A. Garrido & Anton Guimerà-Brunet. "High-resolution mapping of infraslow cortical brain activity enabled by graphene microtransistors." Nature Materials 2018, DOI: 10.1038/s41563-018-0249-4