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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...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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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. |
format | Online Article Text |
id | pubmed-9507374 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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