Microendovascular Neural Recording from Cortical and Deep Vessels with High Precision and Minimal Invasiveness

Intravascular electroencephalography (ivEEG) with microintravascular electrodes enhances neural monitoring, functional mapping, and brain–computer interfaces (BCIs), offering a minimally invasive approach to assess cortical activities; however, this approach remains unrealized. Current ivEEG methods using electrode‐attached stents are limited to recording from large vessels, such as the superior sagittal sinus (SSS), restricting access to cortical regions essential for precise BCI control, such as those for hand and mouth movements. Here, ivEEG signals from small and soft cortical veins (CV‐ivEEGs) in eight pigs using microintravascular electrodes are recorded, achieving higher resting‐state signal power and greater spatial resolution of somatosensory evoked potentials (SEPs) compared to SSS‐based ivEEG. Additionally, ivEEG recorded from deep veins clearly captures visual evoked potentials. Furthermore, comparisons between CV‐ivEEG and electrocorticography (ECoG) using epidural and subdural electrodes in two pigs demonstrate that CV‐ivEEG captures cortical SEPs comparable to ECoG. Targeted electrical stimulation via cortical vein electrodes induces specific contralateral muscle contractions in five anesthetized pigs, confirming selective motor‐region stimulation with minimal invasiveness. The findings suggest that ivEEG with microintravascular electrodes is capable of accessing diverse cortical areas and capturing localized neural activity with high signal fidelity for minimally invasive cortical mapping and BCI.

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Publication Details

Journal
Advanced Intelligent Systems
Published
2025-09-12
DOI
https://doi.org/10.1002/aisy.202500487
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00
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article

Microendovascular Neural Recording from Cortical and Deep Vessels with High Precision and Minimal Invasiveness

David B. Grayden, Takamitsu Iwata, Takaaki Abe, Teppei Araki et al.
Advanced Intelligent Systems
EEG and Brain-Computer Interfaces
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Microendovascular Neural Recording from Cortical and Deep Vessels with High Precision and Minimal Invasiveness

David B. Grayden, Takamitsu Iwata, Takaaki Abe, Teppei Araki, Toshikazu Nezu, Ryohei Fukuma, Takufumi Yanagisawa, Tomohiko Ozaki, Sam E. John, Haruhiko Kishima, Masatoshi Takagaki, Tsuyoshi Sekitani, Takafumi Uemura, Hajime Nakamura, Shinpei Miura, Takaki Matsumura
article en

Abstract

Intravascular electroencephalography (ivEEG) with microintravascular electrodes enhances neural monitoring, functional mapping, and brain–computer interfaces (BCIs), offering a minimally invasive approach to assess cortical activities; however, this approach remains unrealized. Current ivEEG methods using electrode‐attached stents are limited to recording from large vessels, such as the superior sagittal sinus (SSS), restricting access to cortical regions essential for precise BCI control, such as those for hand and mouth movements. Here, ivEEG signals from small and soft cortical veins (CV‐ivEEGs) in eight pigs using microintravascular electrodes are recorded, achieving higher resting‐state signal power and greater spatial resolution of somatosensory evoked potentials (SEPs) compared to SSS‐based ivEEG. Additionally, ivEEG recorded from deep veins clearly captures visual evoked potentials. Furthermore, comparisons between CV‐ivEEG and electrocorticography (ECoG) using epidural and subdural electrodes in two pigs demonstrate that CV‐ivEEG captures cortical SEPs comparable to ECoG. Targeted electrical stimulation via cortical vein electrodes induces specific contralateral muscle contractions in five anesthetized pigs, confirming selective motor‐region stimulation with minimal invasiveness. The findings suggest that ivEEG with microintravascular electrodes is capable of accessing diverse cortical areas and capturing localized neural activity with high signal fidelity for minimally invasive cortical mapping and BCI.

Advanced Intelligent SystemsVol. 8(3)
The University of Melbourne (AU), Osaka City University (JP), Osaka Research Institute of Industrial Science and Technology (JP), National Institute of Advanced Industrial Science and Technology (JP), The University of Osaka (JP)
Openalex Percentile: Top 75%
EEG and Brain-Computer Interfaces
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