George Malliaras

George Malliaras


Research Focus & Metrics

Academic Career Length

34Years (1993-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 December 2016 in Nature
Verified
Journal Article
Closed access
TSTakao Someya
Takao Someya
ZBZhenan Bao
Zhenan Bao
GMGeorge Malliaras
George Malliaras

9 March 2023 in ACS Nano
Verified
Journal Article
Closed access
Yifei LuoYifei Luo
Yifei Luo
MAMohammad Reza Abidian
Mohammad Reza Abidian
JAJong-Hyun Ahn
Jong-Hyun Ahn
DADeji Akinwande
Deji Akinwande
AAAnne M. Andrews
Anne M. Andrews
XCXiaodong Chen
Xiaodong Chen

13 July 2018 in Nature Electronics
Verified
Journal Article
Closed access
PDF file
YBYoeri van de Burgt
Yoeri van de Burgt
AMArmantas Melianas
Armantas Melianas
SKScott T. Keene
Scott T. Keene
GMGeorge Malliaras
George Malliaras
ASAlberto Salleo
Alberto Salleo

16 October 2007 in Advanced Functional Materials
Verified
Journal Article
Closed access
PDF file
DBD. A. Bernards
D. A. Bernards
GMGeorge Malliaras
George Malliaras

12 March 2013 in Nature Communications
Verified
Journal Article
Open access
DKDion Khodagholy
Dion Khodagholy
TDThomas Doublet
Thomas Doublet
PQPascale Quilichini
Pascale Quilichini
MGMoshe Gurfinkel
Moshe Gurfinkel
PLPierre Leleux
Pierre Leleux
GMGeorge Malliaras
George Malliaras
In vivo electrophysiological recordings of neuronal circuits are necessary for diagnostic purposes and for brain-machine interfaces. Organic electronic devices constitute a promising candidate because of their mechanical flexibility and biocompatibility. Here we demonstrate the engineering of an organic electrochemical transistor embedded in an ultrathin organic film designed to record electrophysiological signals on the surface of the brain. The device, tested in vivo on epileptiform discharges, displayed superior signal-to-noise ratio due to local amplification compared with surface electrodes. The organic transistor was able to record on the surface low-amplitude brain activities, which were poorly resolved with surface electrodes. This study introduces a new class of biocompatible, highly flexible devices for recording brain activity with superior signal-to-noise ratio that hold great promise for medical applications.

22 December 2014 in Nature Neuroscience
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Journal Article
Open access
PDF file
DKDion Khodagholy
Dion Khodagholy
JGJennifer N Gelinas
Jennifer N Gelinas
TTThomas Thesen
Thomas Thesen
WDWerner Doyle
Werner Doyle
ODOrrin Devinsky
Orrin Devinsky
GBGyörgy Buzsáki
György Buzsáki
In this technical report, Khodagholy and colleagues find that NeuroGrid, a planar, scalable and highly conformable electrode array, allows recordings of local-field potentials and stable single-unit activity from the surface of the rat cortex or hippocampus. The authors also validate NeuroGrid across species by showing that that it can capture LFP-modulated spiking activity intraoperatively in surgical patients, thus demonstrating its utility as tool for fundamental research on the human brain and in the clinic. Recording from neural networks at the resolution of action potentials is critical for understanding how information is processed in the brain. Here, we address this challenge by developing an organic material–based, ultraconformable, biocompatible and scalable neural interface array (the ‘NeuroGrid’) that can record both local field potentials(LFPs) and action potentials from superficial cortical neurons without penetrating the brain surface. Spikes with features of interneurons and pyramidal cells were simultaneously acquired by multiple neighboring electrodes of the NeuroGrid, allowing for the isolation of putative single neurons in rats. Spiking activity demonstrated consistent phase modulation by ongoing brain oscillations and was stable in recordings exceeding 1 week's duration. We also recorded LFP-modulated spiking activity intraoperatively in patients undergoing epilepsy surgery. The NeuroGrid constitutes an effective method for large-scale, stable recording of neuronal spikes in concert with local population synaptic activity, enhancing comprehension of neural processes across spatiotemporal scales and potentially facilitating diagnosis and therapy for brain disorders.