Organic electronics for high-resolution electrocorticography of the human brain

Dion Khodagholy; Jennifer N Gelinas; Zifang Zhao; Malcolm Yeh; Michael Long; Jeremy D Greenlee; Werner Doyle; Orrin Devinsky; György Buzsáki

doi:10.1126/sciadv.1601027

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Organic electronics for high-resolution electrocorticography of the human brain

Journal article

Open access

Peer reviewed

Organic electronics for high-resolution electrocorticography of the human brain

Dion Khodagholy, Jennifer N Gelinas, Zifang Zhao, Malcolm Yeh, Michael Long, Jeremy D Greenlee, Werner Doyle, Orrin Devinsky and György Buzsáki

Science advances, Vol.2(11), pp.e1601027-e1601027

11/2016

DOI: 10.1126/sciadv.1601027

PMCID: PMC5569954

PMID: 28861464

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Abstract

Localizing neuronal patterns that generate pathological brain signals may assist with tissue resection and intervention strategies in patients with neurological diseases. Precise localization requires high spatiotemporal recording from populations of neurons while minimizing invasiveness and adverse events. We describe a large-scale, high-density, organic material-based, conformable neural interface device ("NeuroGrid") capable of simultaneously recording local field potentials (LFPs) and action potentials from the cortical surface. We demonstrate the feasibility and safety of intraoperative recording with NeuroGrids in anesthetized and awake subjects. Highly localized and propagating physiological and pathological LFP patterns were recorded, and correlated neural firing provided evidence about their local generation. Application of NeuroGrids to brain disorders, such as epilepsy, may improve diagnostic precision and therapeutic outcomes while reducing complications associated with invasive electrodes conventionally used to acquire high-resolution and spiking data.

Electrocorticography - instrumentation

Electronics, Medical

Brain - physiopathology

Humans

Middle Aged

Adult

Female

Male

Electrocorticography - methods

Epilepsy - physiopathology

Details

Title: Subtitle: Organic electronics for high-resolution electrocorticography of the human brain
Creators: Dion Khodagholy - NYU Neuroscience Institute, School of Medicine, New York University, New York, NY 10016, USA
Jennifer N Gelinas - NYU Neuroscience Institute, School of Medicine, New York University, New York, NY 10016, USA
Zifang Zhao - Neuroscience Research Institute, Peking University, Xueyuan Road, Haidian District, Beijing 10083, China
Malcolm Yeh - Department of Neurology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA
Michael Long - NYU Neuroscience Institute, School of Medicine, New York University, New York, NY 10016, USA
Jeremy D Greenlee - Department of Neurosurgery, Human Brain Research Laboratory, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA
Werner Doyle - Department of Neurosurgery, New York University Langone Medical Center, New York, NY 10016, USA
Orrin Devinsky - Department of Neurology, Comprehensive Epilepsy Center, New York University, New York, NY 10016, USA
György Buzsáki - NYU Neuroscience Institute, School of Medicine, New York University, New York, NY 10016, USA
Resource Type: Journal article
Publication Details: Science advances, Vol.2(11), pp.e1601027-e1601027
Publisher: United States
DOI: 10.1126/sciadv.1601027
PMID: 28861464
PMCID: PMC5569954
ISSN: 2375-2548
eISSN: 2375-2548
Grant note: R01 MH054671 / NIMH NIH HHS U01 NS090526 / NINDS NIH HHS U01 NS090583 / NINDS NIH HHS U01 NS099705 / NINDS NIH HHS R01 MH107396 / NIMH NIH HHS
Language: English
Date published: 11/2016
Academic Unit: Neurology; Iowa Neuroscience Institute; Neurosurgery; Otolaryngology
Record Identifier: 9984068229202771

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