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NeuroGrid: recording action potentials from the surface of the brain
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, ultra-conformable, biocompatible and scalable neural interface array (the ‘NeuroGrid...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4308485/ https://www.ncbi.nlm.nih.gov/pubmed/25531570 http://dx.doi.org/10.1038/nn.3905 |
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author | Khodagholy, Dion Gelinas, Jennifer N. Thesen, Thomas Doyle, Werner Devinsky, Orrin Malliaras, George G. Buzsáki, György |
author_facet | Khodagholy, Dion Gelinas, Jennifer N. Thesen, Thomas Doyle, Werner Devinsky, Orrin Malliaras, George G. Buzsáki, György |
author_sort | Khodagholy, Dion |
collection | PubMed |
description | 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, ultra-conformable, biocompatible and scalable neural interface array (the ‘NeuroGrid’) that can record both LFP 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 isolation of putative single neurons in rats. Spiking activity demonstrated consistent phase modulation by ongoing brain oscillations and was stable in recordings exceeding one week. We also recorded LFP-modulated spiking activity intra-operatively 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. |
format | Online Article Text |
id | pubmed-4308485 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
record_format | MEDLINE/PubMed |
spelling | pubmed-43084852015-08-01 NeuroGrid: recording action potentials from the surface of the brain Khodagholy, Dion Gelinas, Jennifer N. Thesen, Thomas Doyle, Werner Devinsky, Orrin Malliaras, George G. Buzsáki, György Nat Neurosci Article 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, ultra-conformable, biocompatible and scalable neural interface array (the ‘NeuroGrid’) that can record both LFP 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 isolation of putative single neurons in rats. Spiking activity demonstrated consistent phase modulation by ongoing brain oscillations and was stable in recordings exceeding one week. We also recorded LFP-modulated spiking activity intra-operatively 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. 2014-12-22 2015-02 /pmc/articles/PMC4308485/ /pubmed/25531570 http://dx.doi.org/10.1038/nn.3905 Text en http://www.nature.com/authors/editorial_policies/license.html#terms Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Khodagholy, Dion Gelinas, Jennifer N. Thesen, Thomas Doyle, Werner Devinsky, Orrin Malliaras, George G. Buzsáki, György NeuroGrid: recording action potentials from the surface of the brain |
title | NeuroGrid: recording action potentials from the surface of the brain |
title_full | NeuroGrid: recording action potentials from the surface of the brain |
title_fullStr | NeuroGrid: recording action potentials from the surface of the brain |
title_full_unstemmed | NeuroGrid: recording action potentials from the surface of the brain |
title_short | NeuroGrid: recording action potentials from the surface of the brain |
title_sort | neurogrid: recording action potentials from the surface of the brain |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4308485/ https://www.ncbi.nlm.nih.gov/pubmed/25531570 http://dx.doi.org/10.1038/nn.3905 |
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