Microsystems & Nanoengineering · 2024 · 11 citations · 28 references
EngineeringBioengineeringBiomedical EngineeringBiomedical ImagingNeural EngineeringNeurophysiologyBrain ImagingElectroencephalographic MonitoringElectroencephalographyMagnetic Resonance ImagingNeural BiomaterialsNeural InterfacesConductive HydrogelsElectrode - Skin InterfaceElectrode-skin InterfaceMechanical CompatibilityNeural Electrode DesignNeural Electrode MaterialsNeural ElectrodesNeural Interface Stability
The exploration of multi-dimensional brain activity with high temporal and spatial resolution is of great significance in the diagnosis of neurological disease and the study of brain science. Although the integration of electroencephalogram (EEG) with magnetic resonance imaging (MRI) and computed tomography (CT) provides a potential solution to achieve a brain-functional image with high spatiotemporal resolution, the critical issues of interface stability and magnetic compatibility remain challenging. Therefore, in this research, we proposed a conductive hydrogel EEG electrode with an asymmetrical bilayer structure, which shows the potential to overcome the challenges. Benefiting from the bilayer structure with different moduli, the hydrogel electrode exhibits high biological and mechanical compatibility with the heterogeneous brain-electrode interface. As a result, the impedance can be reduced compared with conventional metal electrodes. In addition, the hydrogel-based ionic conductive electrodes, which are free from metal conductors, are compatible with MRI and CT. Therefore, they can obtain high spatiotemporal resolution multi-dimensional brain information in clinical settings. The research outcome provides a new approach for establishing a platform for early diagnosis of brain diseases and the study of brain science.
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Katrin Seeher, Nicoline Schiess, Emma Nichols et al. · The Lancet Neurology · 2024 · 1.7K citations · Full text
Medicine, Neurology, Neuroscience +17
Tough bonding of hydrogels to diverse non-porous surfaces
Hyunwoo Yuk, Teng Zhang, Shaoting Lin et al. · Nature Materials · 2015 · 1.1K citations
Natural Sciences, Materials Engineering, Materials Science +12
Flexible brain–computer interfaces
Xin Tang, Hao Shen, Siyuan Zhao et al. · Nature Electronics · 2023 · 352 citations