In Vivo Transcranial Acoustoelectric Brain Imaging of Different Deep Brain Stimulation Currents
Deep brain stimulation (DBS) is an effective treatment for neurologic disease and its clinical effect is highly dependent on the DBS leads localization and current stimulating state. However, standard human brain imaging modalities could not provide direct feedback on DBS currents spatial distributi...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10409239/ |
| _version_ | 1827132852190314496 |
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| author | Yijie Zhou Yibo Song Shasha Qi Xizi Song Minpeng Xu Feng He Dong Ming |
| author_facet | Yijie Zhou Yibo Song Shasha Qi Xizi Song Minpeng Xu Feng He Dong Ming |
| author_sort | Yijie Zhou |
| collection | DOAJ |
| description | Deep brain stimulation (DBS) is an effective treatment for neurologic disease and its clinical effect is highly dependent on the DBS leads localization and current stimulating state. However, standard human brain imaging modalities could not provide direct feedback on DBS currents spatial distribution and dynamic changes. Acoustoelectric brain imaging (AEBI) is an emerging neuroimaging method that can directly map current density distribution. Here, we investigate in vivo AEBI of different DBS currents to explore the potential of DBS visualization using AEBI. According to the typical DBS stimulus parameters, four types of DBS currents, including time pattern, waveform, frequency, and amplitude are designed to implement AEBI experiments in living rat brains. Based on acoustoelectric (AE) signals, the AEBI images of each type DBS current are explored and the resolution is quantitatively analyzed for performance evaluation. Furtherly, the AE signals are decoded to characterize DBS currents from multiple perspectives, including time-frequency domain, spatial distribution, and amplitude comparation. The results show that in vivo transcranial AEBI can accurately locate the DBS contact position with a millimeter spatial resolution (< 2 mm) and millisecond temporal resolution (< 10 ms). Besides, the decoded AE signal at DBS contact position is capable of describing the corresponding DBS current characteristics and identifying current pattern changes. This study first validates that AEBI can localize in vivo DBS contact and characterize different DBS currents. AEBI is expected to develop into a noninvasive DBS real-time monitoring technology with high spatiotemporal resolution. |
| first_indexed | 2024-03-08T08:38:59Z |
| format | Article |
| id | doaj.art-1ee13057241a46ffbe33df3da25271ee |
| institution | Directory Open Access Journal |
| issn | 1534-4320 1558-0210 |
| language | English |
| last_indexed | 2025-03-20T16:54:33Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Transactions on Neural Systems and Rehabilitation Engineering |
| spelling | doaj.art-1ee13057241a46ffbe33df3da25271ee2024-08-28T23:00:14ZengIEEEIEEE Transactions on Neural Systems and Rehabilitation Engineering1534-43201558-02102024-01-013259760610.1109/TNSRE.2024.335644010409239In Vivo Transcranial Acoustoelectric Brain Imaging of Different Deep Brain Stimulation CurrentsYijie Zhou0https://orcid.org/0000-0003-1413-8425Yibo Song1https://orcid.org/0009-0006-7506-5695Shasha Qi2https://orcid.org/0000-0002-9327-0434Xizi Song3https://orcid.org/0000-0002-0676-3258Minpeng Xu4https://orcid.org/0000-0001-6746-4828Feng He5https://orcid.org/0000-0001-8359-2635Dong Ming6https://orcid.org/0000-0002-8192-2538Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, ChinaAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, ChinaAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, ChinaAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, ChinaAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, ChinaAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, ChinaAcademy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, ChinaDeep brain stimulation (DBS) is an effective treatment for neurologic disease and its clinical effect is highly dependent on the DBS leads localization and current stimulating state. However, standard human brain imaging modalities could not provide direct feedback on DBS currents spatial distribution and dynamic changes. Acoustoelectric brain imaging (AEBI) is an emerging neuroimaging method that can directly map current density distribution. Here, we investigate in vivo AEBI of different DBS currents to explore the potential of DBS visualization using AEBI. According to the typical DBS stimulus parameters, four types of DBS currents, including time pattern, waveform, frequency, and amplitude are designed to implement AEBI experiments in living rat brains. Based on acoustoelectric (AE) signals, the AEBI images of each type DBS current are explored and the resolution is quantitatively analyzed for performance evaluation. Furtherly, the AE signals are decoded to characterize DBS currents from multiple perspectives, including time-frequency domain, spatial distribution, and amplitude comparation. The results show that in vivo transcranial AEBI can accurately locate the DBS contact position with a millimeter spatial resolution (< 2 mm) and millisecond temporal resolution (< 10 ms). Besides, the decoded AE signal at DBS contact position is capable of describing the corresponding DBS current characteristics and identifying current pattern changes. This study first validates that AEBI can localize in vivo DBS contact and characterize different DBS currents. AEBI is expected to develop into a noninvasive DBS real-time monitoring technology with high spatiotemporal resolution.https://ieeexplore.ieee.org/document/10409239/Electroencephalographyacoustoelectric brain imagingdeep brain stimulationcurrent characteristics |
| spellingShingle | Yijie Zhou Yibo Song Shasha Qi Xizi Song Minpeng Xu Feng He Dong Ming In Vivo Transcranial Acoustoelectric Brain Imaging of Different Deep Brain Stimulation Currents IEEE Transactions on Neural Systems and Rehabilitation Engineering Electroencephalography acoustoelectric brain imaging deep brain stimulation current characteristics |
| title | In Vivo Transcranial Acoustoelectric Brain Imaging of Different Deep Brain Stimulation Currents |
| title_full | In Vivo Transcranial Acoustoelectric Brain Imaging of Different Deep Brain Stimulation Currents |
| title_fullStr | In Vivo Transcranial Acoustoelectric Brain Imaging of Different Deep Brain Stimulation Currents |
| title_full_unstemmed | In Vivo Transcranial Acoustoelectric Brain Imaging of Different Deep Brain Stimulation Currents |
| title_short | In Vivo Transcranial Acoustoelectric Brain Imaging of Different Deep Brain Stimulation Currents |
| title_sort | in vivo transcranial acoustoelectric brain imaging of different deep brain stimulation currents |
| topic | Electroencephalography acoustoelectric brain imaging deep brain stimulation current characteristics |
| url | https://ieeexplore.ieee.org/document/10409239/ |
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