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Translational Organic Neural Interface Devices at Single Neuron Resolution

Recording from the human brain at the spatiotemporal resolution of action potentials provides critical insight into mechanisms of higher cognitive functions and neuropsychiatric disease that is challenging to derive from animal models. Here, organic materials and conformable electronics are employed...

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Autores principales: Hassan, Ahnaf Rashik, Zhao, Zifang, Ferrero, Jose J., Cea, Claudia, Jastrzebska‐Perfect, Patricia, Myers, John, Asman, Priscella, Ince, Nuri Firat, McKhann, Guy, Viswanathan, Ashwin, Sheth, Sameer A., Khodagholy, Dion, Gelinas, Jennifer N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9507374/
https://www.ncbi.nlm.nih.gov/pubmed/35908811
http://dx.doi.org/10.1002/advs.202202306
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author Hassan, Ahnaf Rashik
Zhao, Zifang
Ferrero, Jose J.
Cea, Claudia
Jastrzebska‐Perfect, Patricia
Myers, John
Asman, Priscella
Ince, Nuri Firat
McKhann, Guy
Viswanathan, Ashwin
Sheth, Sameer A.
Khodagholy, Dion
Gelinas, Jennifer N.
author_facet Hassan, Ahnaf Rashik
Zhao, Zifang
Ferrero, Jose J.
Cea, Claudia
Jastrzebska‐Perfect, Patricia
Myers, John
Asman, Priscella
Ince, Nuri Firat
McKhann, Guy
Viswanathan, Ashwin
Sheth, Sameer A.
Khodagholy, Dion
Gelinas, Jennifer N.
author_sort Hassan, Ahnaf Rashik
collection PubMed
description Recording from the human brain at the spatiotemporal resolution of action potentials provides critical insight into mechanisms of higher cognitive functions and neuropsychiatric disease that is challenging to derive from animal models. Here, organic materials and conformable electronics are employed to create an integrated neural interface device compatible with minimally invasive neurosurgical procedures and geared toward chronic implantation on the surface of the human brain. Data generated with these devices enable identification and characterization of individual, spatially distribute human cortical neurons in the absence of any tissue penetration (n = 229 single units). Putative single‐units are effectively clustered, and found to possess features characteristic of pyramidal cells and interneurons, as well as identifiable microcircuit interactions. Human neurons exhibit consistent phase modulation by oscillatory activity and a variety of population coupling responses. The parameters are furthermore established to optimize the yield and quality of single‐unit activity from the cortical surface, enhancing the ability to investigate human neural network mechanisms without breaching the tissue interface and increasing the information that can be safely derived from neurophysiological monitoring.
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spelling pubmed-95073742022-09-30 Translational Organic Neural Interface Devices at Single Neuron Resolution Hassan, Ahnaf Rashik Zhao, Zifang Ferrero, Jose J. Cea, Claudia Jastrzebska‐Perfect, Patricia Myers, John Asman, Priscella Ince, Nuri Firat McKhann, Guy Viswanathan, Ashwin Sheth, Sameer A. Khodagholy, Dion Gelinas, Jennifer N. Adv Sci (Weinh) Research Articles Recording from the human brain at the spatiotemporal resolution of action potentials provides critical insight into mechanisms of higher cognitive functions and neuropsychiatric disease that is challenging to derive from animal models. Here, organic materials and conformable electronics are employed to create an integrated neural interface device compatible with minimally invasive neurosurgical procedures and geared toward chronic implantation on the surface of the human brain. Data generated with these devices enable identification and characterization of individual, spatially distribute human cortical neurons in the absence of any tissue penetration (n = 229 single units). Putative single‐units are effectively clustered, and found to possess features characteristic of pyramidal cells and interneurons, as well as identifiable microcircuit interactions. Human neurons exhibit consistent phase modulation by oscillatory activity and a variety of population coupling responses. The parameters are furthermore established to optimize the yield and quality of single‐unit activity from the cortical surface, enhancing the ability to investigate human neural network mechanisms without breaching the tissue interface and increasing the information that can be safely derived from neurophysiological monitoring. John Wiley and Sons Inc. 2022-07-31 /pmc/articles/PMC9507374/ /pubmed/35908811 http://dx.doi.org/10.1002/advs.202202306 Text en © 2022 The Authors. Advanced Science published by Wiley‐VCH GmbH https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Hassan, Ahnaf Rashik
Zhao, Zifang
Ferrero, Jose J.
Cea, Claudia
Jastrzebska‐Perfect, Patricia
Myers, John
Asman, Priscella
Ince, Nuri Firat
McKhann, Guy
Viswanathan, Ashwin
Sheth, Sameer A.
Khodagholy, Dion
Gelinas, Jennifer N.
Translational Organic Neural Interface Devices at Single Neuron Resolution
title Translational Organic Neural Interface Devices at Single Neuron Resolution
title_full Translational Organic Neural Interface Devices at Single Neuron Resolution
title_fullStr Translational Organic Neural Interface Devices at Single Neuron Resolution
title_full_unstemmed Translational Organic Neural Interface Devices at Single Neuron Resolution
title_short Translational Organic Neural Interface Devices at Single Neuron Resolution
title_sort translational organic neural interface devices at single neuron resolution
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9507374/
https://www.ncbi.nlm.nih.gov/pubmed/35908811
http://dx.doi.org/10.1002/advs.202202306
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