Artikel ; Online: Multiplexed Surface Electrode Arrays Based on Metal Oxide Thin-Film Electronics for High-Resolution Cortical Mapping.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
2023 Band 11, Heft 10, Seite(n) e2308507
Abstract: Electrode grids are used in neuroscience research and clinical practice to record electrical activity from the surface of the brain. However, existing passive electrocorticography (ECoG) technologies are unable to offer both high spatial resolution and ... ...
| Abstract | Electrode grids are used in neuroscience research and clinical practice to record electrical activity from the surface of the brain. However, existing passive electrocorticography (ECoG) technologies are unable to offer both high spatial resolution and wide cortical coverage, while ensuring a compact acquisition system. The electrode count and density are restricted by the fact that each electrode must be individually wired. This work presents an active micro-electrocorticography (µECoG) implant that tackles this limitation by incorporating metal oxide thin-film transistors (TFTs) into a flexible electrode array, allowing to address multiple electrodes through a single shared readout line. By combining the array with an incremental-ΔΣ readout integrated circuit (ROIC), the system is capable of recording from up to 256 electrodes virtually simultaneously, thanks to the implemented 16:1 time-division multiplexing scheme, offering lower noise levels than existing active µECoG arrays. In vivo validation is demonstrated acutely in mice by recording spontaneous activity and somatosensory evoked potentials over a cortical surface of ≈8×8 mm |
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| Mesh-Begriff(e) | Animals ; Mice ; Brain Mapping ; Electrodes, Implanted ; Cerebral Cortex/physiology ; Electrocorticography ; Electronics |
| Sprache | Englisch |
| Erscheinungsdatum | 2023-12-25 |
| Erscheinungsland | Germany |
| Dokumenttyp | Journal Article |
| ZDB-ID | 2808093-2 |
| ISSN | 2198-3844 ; 2198-3844 |
| ISSN (online) | 2198-3844 |
| ISSN | 2198-3844 |
| DOI | 10.1002/advs.202308507 |
| Datenquelle | MEDical Literature Analysis and Retrieval System OnLINE |
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