Journal article
A MEMS fabricated flexible electrode array for recording surface field potentials
Journal of neuroscience methods, Vol.153(1), pp.147-153
2006
Handle:
https://hdl.handle.net/2376/115042
PMID: 16352343
Abstract
We developed a method to microfabricate flexible electrode arrays on a thin Kapton substrate, which was engineered to minimize trauma when inserted between the dura and skull to obtain surface EEG recordings. The array consisted of 64 gold electrodes, each 150
μm in diameter on a 750
μm spaced 8
×
8 grid. Using photolithographic procedures, any arrangement of electrodes can be implemented. We used the electrode array to record evoked response signals to create topographical maps of the whisker barrels on the cortical surface with excellent signal stability over a period of 8
h. The materials used for this fabrication are potentially biologically inert and, with some additional modifications to the design, can be chronically implanted with minimal side effects. Retinal prosthesis, human neurosurgery, and neurological research are all limited to some degree by the resolution and biological compatibility of the implants used. This type of array could greatly enhance the spatial resolution, signal quality, and stability of implantable surface electrode arrays.
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Details
- Title
- A MEMS fabricated flexible electrode array for recording surface field potentials
- Creators
- Brian A Hollenberg - School of Mechanical and Materials Engineering, Washington State University, Pullman, WA 99164, USACecilia D Richards - School of Mechanical and Materials Engineering, Washington State University, Pullman, WA 99164, USARobert Richards - School of Mechanical and Materials Engineering, Washington State University, Pullman, WA 99164, USADavid F Bahr - School of Mechanical and Materials Engineering, Washington State University, Pullman, WA 99164, USADavid M Rector - Department of Veterinary Comparative Anatomy Physiology and Pharmacology, Washington State University, 205 Wegner Hall, Pullman, WA 99164, USA
- Publication Details
- Journal of neuroscience methods, Vol.153(1), pp.147-153
- Academic Unit
- Mechanical and Materials Engineering, School of
- Publisher
- Elsevier B.V
- Identifiers
- 99900547697601842
- Language
- English
- Resource Type
- Journal article