Literature DB >> 30215607

Multilayer 3D electrodes for neural implants.

Marta Jole Ildelfonsa Airaghi Leccardi1, Paola Vagni, Diego Ghezzi.   

Abstract

OBJECTIVE: In many applications, multielectrode arrays employed as neural implants require a high density and a high number of electrodes to precisely record and stimulate the activity of the nervous system while preserving the overall size of the array. APPROACH: Here we present a multilayer and three-dimensional (3D) electrode array, together with its manufacturing method, enabling a higher electrode density and a more efficient signal transduction with the biological tissue. MAIN
RESULTS: The 3D structure of the electrode array allows for a multilayer placement of the interconnects within a flexible substrate, it narrows the probe size per the same number of electrodes, and it maintains the electrode contacts at the same level within the tissue. In addition, it augments the electrode surface area, leading to a lower electrochemical impedance and a higher charge storage capacity. To characterize the recordings capabilities of the multilayer 3D electrodes, we measured visually evoked cortical potentials in mice and analysed the evolution of the peak prominences and latencies according to different light intensities and recording depths within the brain. The resulting signal-to-noise ratio is improved compared to flat electrodes. Finally, the 3D electrodes have been imaged inside a clarified mouse brain using a light-sheet microscope to visualize their integrity within the tissue. SIGNIFICANCE: The multilayer 3D electrodes have proved to be a valid technology to ensure tissue proximity and higher recording/stimulating efficiencies while enabling higher electrode density and reducing the probe size.

Entities:  

Mesh:

Year:  2018        PMID: 30215607     DOI: 10.1088/1741-2552/aae191

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  3 in total

1.  A soft and stretchable bilayer electrode array with independent functional layers for the next generation of brain machine interfaces.

Authors:  Oliver Graudejus; Cody Barton; Ruben D Ponce Wong; Cami C Rowan; Denise Oswalt; Bradley Greger
Journal:  J Neural Eng       Date:  2020-10-14       Impact factor: 5.379

Review 2.  The Future of Neuroscience: Flexible and Wireless Implantable Neural Electronics.

Authors:  Eve McGlynn; Vahid Nabaei; Elisa Ren; Gabriel Galeote-Checa; Rupam Das; Giulia Curia; Hadi Heidari
Journal:  Adv Sci (Weinh)       Date:  2021-03-09       Impact factor: 16.806

3.  Stage-Dependent Changes of Visual Function and Electrical Response of the Retina in the rd10 Mouse Model.

Authors:  Seongkwang Cha; Jungryul Ahn; Yurim Jeong; Yong Hee Lee; Hyong Kyu Kim; Daekee Lee; Yongseok Yoo; Yong Sook Goo
Journal:  Front Cell Neurosci       Date:  2022-07-19       Impact factor: 6.147

  3 in total

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