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The Brain Electroencephalogram Microdisplay for Precision Neurosurgery
Brain surgeries are among the most delicate clinical procedures and must be performed with the most technologically robust and advanced tools. When such surgical procedures are performed in functionally critical regions of the brain, functional mapping is applied as a standard practice that involves...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10370209/ https://www.ncbi.nlm.nih.gov/pubmed/37503216 http://dx.doi.org/10.1101/2023.07.19.549735 |
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author | Tchoe, Youngbin Wu, Tianhai U, Hoi Sang Roth, David M. Kim, Dongwoo Lee, Jihwan Cleary, Daniel R. Pizarro, Patricia Tonsfeldt, Karen J. Lee, Keundong Chen, Po Chun Bourhis, Andrew M. Galton, Ian Coughlin, Brian Yang, Jimmy C. Paulk, Angelique C. Halgren, Eric Cash, Sydney S. Dayeh, Shadi A. |
author_facet | Tchoe, Youngbin Wu, Tianhai U, Hoi Sang Roth, David M. Kim, Dongwoo Lee, Jihwan Cleary, Daniel R. Pizarro, Patricia Tonsfeldt, Karen J. Lee, Keundong Chen, Po Chun Bourhis, Andrew M. Galton, Ian Coughlin, Brian Yang, Jimmy C. Paulk, Angelique C. Halgren, Eric Cash, Sydney S. Dayeh, Shadi A. |
author_sort | Tchoe, Youngbin |
collection | PubMed |
description | Brain surgeries are among the most delicate clinical procedures and must be performed with the most technologically robust and advanced tools. When such surgical procedures are performed in functionally critical regions of the brain, functional mapping is applied as a standard practice that involves direct coordinated interactions between the neurosurgeon and the clinical neurology electrophysiology team. However, information flow during these interactions is commonly verbal as well as time consuming which in turn increases the duration and cost of the surgery, possibly compromising the patient outcomes. Additionally, the grids that measure brain activity and identify the boundaries of pathological versus functional brain regions suffer from low resolution (3-10 mm contact to contact spacing) with limited conformity to the brain surface. Here, we introduce a brain intracranial electroencephalogram microdisplay (Brain-iEEG-microdisplay) which conforms to the brain to measure the brain activity and display changes in near real-time (40 Hz refresh rate) on the surface of the brain in the surgical field. We used scalable engineered gallium nitride (GaN) substrates with 6” diameter to fabricate, encapsulate, and release free-standing arrays of up to 2048 GaN light emitting diodes (μLEDs) in polyimide substrates. We then laminated the μLED arrays on the back of micro-electrocorticography (μECoG) platinum nanorod grids (PtNRGrids) and developed hardware and software to perform near real-time intracranial EEG analysis and activation of light patterns that correspond to specific cortical activities. Using the Brain-iEEG-microdisplay, we precisely ideFSntified and displayed important cortical landmarks and pharmacologically induced pathological activities. In the rat model, we identified and displayed individual cortical columns corresponding to individual whiskers and the near real-time evolution of epileptic discharges. In the pig animal model, we demonstrated near real-time mapping and display of cortical functional boundaries using somatosensory evoked potentials (SSEP) and display of responses to direct electrical stimulation (DES) from the surface or within the brain tissue. Using a dual-color Brain-iEEG-microdisplay, we demonstrated co-registration of the functional cortical boundaries with one color and displayed the evolution of electrical potentials associated with epileptiform activity with another color. The Brain-iEEG-microdisplay holds the promise of increasing the efficiency of diagnosis and possibly surgical treatment, thereby reducing the cost and improving patient outcomes which would mark a major advancement in neurosurgery. These advances can also be translated to broader applications in neuro-oncology and neurophysiology. |
format | Online Article Text |
id | pubmed-10370209 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-103702092023-07-27 The Brain Electroencephalogram Microdisplay for Precision Neurosurgery Tchoe, Youngbin Wu, Tianhai U, Hoi Sang Roth, David M. Kim, Dongwoo Lee, Jihwan Cleary, Daniel R. Pizarro, Patricia Tonsfeldt, Karen J. Lee, Keundong Chen, Po Chun Bourhis, Andrew M. Galton, Ian Coughlin, Brian Yang, Jimmy C. Paulk, Angelique C. Halgren, Eric Cash, Sydney S. Dayeh, Shadi A. bioRxiv Article Brain surgeries are among the most delicate clinical procedures and must be performed with the most technologically robust and advanced tools. When such surgical procedures are performed in functionally critical regions of the brain, functional mapping is applied as a standard practice that involves direct coordinated interactions between the neurosurgeon and the clinical neurology electrophysiology team. However, information flow during these interactions is commonly verbal as well as time consuming which in turn increases the duration and cost of the surgery, possibly compromising the patient outcomes. Additionally, the grids that measure brain activity and identify the boundaries of pathological versus functional brain regions suffer from low resolution (3-10 mm contact to contact spacing) with limited conformity to the brain surface. Here, we introduce a brain intracranial electroencephalogram microdisplay (Brain-iEEG-microdisplay) which conforms to the brain to measure the brain activity and display changes in near real-time (40 Hz refresh rate) on the surface of the brain in the surgical field. We used scalable engineered gallium nitride (GaN) substrates with 6” diameter to fabricate, encapsulate, and release free-standing arrays of up to 2048 GaN light emitting diodes (μLEDs) in polyimide substrates. We then laminated the μLED arrays on the back of micro-electrocorticography (μECoG) platinum nanorod grids (PtNRGrids) and developed hardware and software to perform near real-time intracranial EEG analysis and activation of light patterns that correspond to specific cortical activities. Using the Brain-iEEG-microdisplay, we precisely ideFSntified and displayed important cortical landmarks and pharmacologically induced pathological activities. In the rat model, we identified and displayed individual cortical columns corresponding to individual whiskers and the near real-time evolution of epileptic discharges. In the pig animal model, we demonstrated near real-time mapping and display of cortical functional boundaries using somatosensory evoked potentials (SSEP) and display of responses to direct electrical stimulation (DES) from the surface or within the brain tissue. Using a dual-color Brain-iEEG-microdisplay, we demonstrated co-registration of the functional cortical boundaries with one color and displayed the evolution of electrical potentials associated with epileptiform activity with another color. The Brain-iEEG-microdisplay holds the promise of increasing the efficiency of diagnosis and possibly surgical treatment, thereby reducing the cost and improving patient outcomes which would mark a major advancement in neurosurgery. These advances can also be translated to broader applications in neuro-oncology and neurophysiology. Cold Spring Harbor Laboratory 2023-07-21 /pmc/articles/PMC10370209/ /pubmed/37503216 http://dx.doi.org/10.1101/2023.07.19.549735 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article Tchoe, Youngbin Wu, Tianhai U, Hoi Sang Roth, David M. Kim, Dongwoo Lee, Jihwan Cleary, Daniel R. Pizarro, Patricia Tonsfeldt, Karen J. Lee, Keundong Chen, Po Chun Bourhis, Andrew M. Galton, Ian Coughlin, Brian Yang, Jimmy C. Paulk, Angelique C. Halgren, Eric Cash, Sydney S. Dayeh, Shadi A. The Brain Electroencephalogram Microdisplay for Precision Neurosurgery |
title | The Brain Electroencephalogram Microdisplay for Precision Neurosurgery |
title_full | The Brain Electroencephalogram Microdisplay for Precision Neurosurgery |
title_fullStr | The Brain Electroencephalogram Microdisplay for Precision Neurosurgery |
title_full_unstemmed | The Brain Electroencephalogram Microdisplay for Precision Neurosurgery |
title_short | The Brain Electroencephalogram Microdisplay for Precision Neurosurgery |
title_sort | brain electroencephalogram microdisplay for precision neurosurgery |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10370209/ https://www.ncbi.nlm.nih.gov/pubmed/37503216 http://dx.doi.org/10.1101/2023.07.19.549735 |
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