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Posts Taged brain-activity

Graphene active sensor arrays for long-term and wireless mapping of wide frequency band epicortical brain activity

Researchers of Nanbiosis U8 Micro– Nano Technology Unit, from CIBER-BBN and IMB-CNM-CSCIC have published an article in Nature Communications on Graphene arrays for long-term and wireless mapping of epicortical brain activity. A collaborative work in the framework of the Brain Com and Graphene EU projects. The article mentions the participation of NANBIOSIS-ICTS.

Graphene active sensors have demonstrated promising capabilities for the detection of electrophysiological signals in the brain. Their functional properties, together with their flexibility as well as their expected stability and biocompatibility have raised them as a promising building block for large-scale sensing neural interfaces. However, in order to provide reliable tools for neuroscience and biomedical engineering applications, the maturity of this technology must be thoroughly studied. Here, we evaluate the performance of 64-channel graphene sensor arrays in terms of homogeneity, sensitivity and stability using a wireless, quasi-commercial headstage and demonstrate the biocompatibility of epicortical graphene chronic implants. Furthermore, to illustrate the potential of the technology to detect cortical signals from infra-slow to high-gamma frequency bands, we perform proof-of-concept long-term wireless recording in a freely behaving rodent. Our work demonstrates the maturity of the graphene-based technology, which represents a promising candidate for chronic, wide frequency band neural sensing interfaces.


Garcia-Cortadella, R., Schwesig, G., Jeschke, C. et al. Graphene active sensor arrays for long-term and wireless mapping of wide frequency band epicortical brain activity. Nat Commun 12, 211 (2021). https://www.nature.com/articles/s41467-020-20546-w

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The hidden brain activity

Researchers of NANBIOSIS Unit 8 Micro and nano techonlogy unit, (Institut de Microelectrònica de Barcelona-CNM-CSIC/ CIBER-BBN ), led by Anton Guimera are coauthors of recently published article in the scientific magazine Nature Materials about the hidden brain activity, entitled “High-resolution mapping of infraslow cortical brain activity enabled by graphene microtransistors “

Recording infraslow brain signals (<0.1 Hz) with microelectrodes is severely hampered by current microelectrode materials, primarily due to limitations resulting from voltage drift and high electrode impedance. Hence, most recording systems include high-pass filters that solve saturation issues but come hand in hand with loss of physiological and pathological information. In this work, we use flexible epicortical and intracortical arrays of graphene solution-gated field-effect transistors (gSGFETs) to map cortical spreading depression in rats and demonstrate that gSGFETs are able to record, with high fidelity, infraslow signals together with signals in the typical local field potential bandwidth. The wide recording bandwidth results from the direct field-effect coupling of the active transistor, in contrast to standard passive electrodes, as well as from the electrochemical inertness of graphene. Taking advantage of such functionality, we envision broad applications of gSGFET technology for monitoring infraslow brain activity both in research and in the clinic.

Article of reference:

Masvidal-Codina, E., Illa, X., Dasilva, M. et al. High-resolution mapping of infraslow cortical brain activity enabled by graphene microtransistors. Nature Mater18, 280–288 (2019). https://doi.org/10.1038/s41563-018-0249-4

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