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Acoustoelectric brain imaging with different conductivities and acoustic distributions
Objective: Acoustoelectric brain imaging (AEBI) is a promising imaging method for mapping brain biological current densities with high spatiotemporal resolution. Currently, it is still challenging to achieve human AEBI with an unclear acoustoelectric (AE) signal response of medium characteristics, p...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10644821/ https://www.ncbi.nlm.nih.gov/pubmed/38028773 http://dx.doi.org/10.3389/fphys.2023.1241640 |
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author | Zhou, Yijie Song, Xizi Song, Yibo Guo, Jiande Han, Gangnan Liu, Xiuyun He, Feng Ming, Dong |
author_facet | Zhou, Yijie Song, Xizi Song, Yibo Guo, Jiande Han, Gangnan Liu, Xiuyun He, Feng Ming, Dong |
author_sort | Zhou, Yijie |
collection | PubMed |
description | Objective: Acoustoelectric brain imaging (AEBI) is a promising imaging method for mapping brain biological current densities with high spatiotemporal resolution. Currently, it is still challenging to achieve human AEBI with an unclear acoustoelectric (AE) signal response of medium characteristics, particularly in conductivity and acoustic distribution. This study introduces different conductivities and acoustic distributions into the AEBI experiment, and clarifies the response interaction between medium characteristics and AEBI performance to address these key challenges. Approach: AEBI with different conductivities is explored by the imaging experiment, potential measurement, and simulation on a pig’s fat, muscle, and brain tissue. AEBI with different acoustic distributions is evaluated on the imaging experiment and acoustic field measurement through a deep and surface transmitting model built on a human skullcap and pig brain tissue. Main results: The results show that conductivity is not only inversely proportional to the AE signal amplitude but also leads to a higher AEBI spatial resolution as it increases. In addition, the current source and sulcus can be located simultaneously with a strong AE signal intensity. The transcranial focal zone enlargement, pressure attenuation in the deep-transmitting model, and ultrasound echo enhancement in the surface-transmitting model cause a reduced spatial resolution, FFT-SNR, and timing correlation of AEBI. Under the comprehensive effect of conductivity and acoustics, AEBI with skull finally shows reduced imaging performance for both models compared with no-skull AEBI. On the contrary, the AE signal amplitude decreases in the deep-transmitting model and increases in the surface-transmitting model. Significance: This study reveals the response interaction between medium characteristics and AEBI performance, and makes an essential step toward developing AEBI as a practical neuroimaging technique. |
format | Online Article Text |
id | pubmed-10644821 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-106448212023-10-31 Acoustoelectric brain imaging with different conductivities and acoustic distributions Zhou, Yijie Song, Xizi Song, Yibo Guo, Jiande Han, Gangnan Liu, Xiuyun He, Feng Ming, Dong Front Physiol Physiology Objective: Acoustoelectric brain imaging (AEBI) is a promising imaging method for mapping brain biological current densities with high spatiotemporal resolution. Currently, it is still challenging to achieve human AEBI with an unclear acoustoelectric (AE) signal response of medium characteristics, particularly in conductivity and acoustic distribution. This study introduces different conductivities and acoustic distributions into the AEBI experiment, and clarifies the response interaction between medium characteristics and AEBI performance to address these key challenges. Approach: AEBI with different conductivities is explored by the imaging experiment, potential measurement, and simulation on a pig’s fat, muscle, and brain tissue. AEBI with different acoustic distributions is evaluated on the imaging experiment and acoustic field measurement through a deep and surface transmitting model built on a human skullcap and pig brain tissue. Main results: The results show that conductivity is not only inversely proportional to the AE signal amplitude but also leads to a higher AEBI spatial resolution as it increases. In addition, the current source and sulcus can be located simultaneously with a strong AE signal intensity. The transcranial focal zone enlargement, pressure attenuation in the deep-transmitting model, and ultrasound echo enhancement in the surface-transmitting model cause a reduced spatial resolution, FFT-SNR, and timing correlation of AEBI. Under the comprehensive effect of conductivity and acoustics, AEBI with skull finally shows reduced imaging performance for both models compared with no-skull AEBI. On the contrary, the AE signal amplitude decreases in the deep-transmitting model and increases in the surface-transmitting model. Significance: This study reveals the response interaction between medium characteristics and AEBI performance, and makes an essential step toward developing AEBI as a practical neuroimaging technique. Frontiers Media S.A. 2023-10-31 /pmc/articles/PMC10644821/ /pubmed/38028773 http://dx.doi.org/10.3389/fphys.2023.1241640 Text en Copyright © 2023 Zhou, Song, Song, Guo, Han, Liu, He and Ming. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Physiology Zhou, Yijie Song, Xizi Song, Yibo Guo, Jiande Han, Gangnan Liu, Xiuyun He, Feng Ming, Dong Acoustoelectric brain imaging with different conductivities and acoustic distributions |
title | Acoustoelectric brain imaging with different conductivities and acoustic distributions |
title_full | Acoustoelectric brain imaging with different conductivities and acoustic distributions |
title_fullStr | Acoustoelectric brain imaging with different conductivities and acoustic distributions |
title_full_unstemmed | Acoustoelectric brain imaging with different conductivities and acoustic distributions |
title_short | Acoustoelectric brain imaging with different conductivities and acoustic distributions |
title_sort | acoustoelectric brain imaging with different conductivities and acoustic distributions |
topic | Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10644821/ https://www.ncbi.nlm.nih.gov/pubmed/38028773 http://dx.doi.org/10.3389/fphys.2023.1241640 |
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