TY - JOUR
T1 - Measurement of Extracellular Electrical Properties with Tracer-Based MRI
AU - Zhang, Heng
AU - Fu, Yu
AU - Han, Hongbin
AU - Sun, Jiangtao
AU - Xie, Lide
AU - Ren, Xiaokang
AU - Yuan, Yi
AU - Fu, Wanyi
AU - Mao, Xin
AU - Liu, Huipo
AU - Cao, Jiangfeng
AU - Peng, Yun
AU - Jia, Xin
AU - Xu, Meng
AU - Tan, Hanbo
AU - Su, Shaoyi
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.
PY - 2024/12
Y1 - 2024/12
N2 - To design and develop an electrical properties measurement strategy with Tracer-based MRI system to comprehensively and simultaneously detect the structure parameters, diffusion coefficients and electrical characteristics of brain extracellular space (ECS). A Tracer-based MRI system, integrated with Electrical Impedance Tomography (EIT), was developed to simultaneously measurement brain ECS structural parameters, diffusion coefficients, and electrical characteristics. Twelve adult Sprague–Dawley rats were randomly divided into two groups: the first group was assessed using traditional Tracer-based MRI alone (n = 6), and the second group with the integration of EIT compatible with impedance measurements (n = 6). The diffusion coefficient, volume fraction, and electrical performance parameters were analysed. The study demonstrated the feasibility of obtaining electrical properties of the ECS, including conductivity (2.006 S/m), dielectric constant (84.77), diffusion rate (3.54*10–4 mm2/s), and volume fraction(17.43%). Additionally, the group assessed with the integration of EIT exhibited a significant decrease in both the diffusion coefficient of ECS molecules (t = 4.748, P < 0.01) and ECS volume fraction (t = 7.77, P < 0.01), compared to using Tracer-based MRI alone. Tracer-based MRI integrated with EIT system enables comprehensive and simultaneous assessment of ECS including structure parameters, diffusion coefficients and electrical characteristics. This approach shows promise as a new method for neuromodulation through the ECS pathway.
AB - To design and develop an electrical properties measurement strategy with Tracer-based MRI system to comprehensively and simultaneously detect the structure parameters, diffusion coefficients and electrical characteristics of brain extracellular space (ECS). A Tracer-based MRI system, integrated with Electrical Impedance Tomography (EIT), was developed to simultaneously measurement brain ECS structural parameters, diffusion coefficients, and electrical characteristics. Twelve adult Sprague–Dawley rats were randomly divided into two groups: the first group was assessed using traditional Tracer-based MRI alone (n = 6), and the second group with the integration of EIT compatible with impedance measurements (n = 6). The diffusion coefficient, volume fraction, and electrical performance parameters were analysed. The study demonstrated the feasibility of obtaining electrical properties of the ECS, including conductivity (2.006 S/m), dielectric constant (84.77), diffusion rate (3.54*10–4 mm2/s), and volume fraction(17.43%). Additionally, the group assessed with the integration of EIT exhibited a significant decrease in both the diffusion coefficient of ECS molecules (t = 4.748, P < 0.01) and ECS volume fraction (t = 7.77, P < 0.01), compared to using Tracer-based MRI alone. Tracer-based MRI integrated with EIT system enables comprehensive and simultaneous assessment of ECS including structure parameters, diffusion coefficients and electrical characteristics. This approach shows promise as a new method for neuromodulation through the ECS pathway.
KW - Brain extracellular space
KW - Diffusion coefficients
KW - Electrical impedance tomography
KW - Electrical properties
KW - Tracer-based MRI
KW - Volume fractions
UR - https://www.scopus.com/pages/publications/85195965485
U2 - 10.1007/s11220-024-00480-7
DO - 10.1007/s11220-024-00480-7
M3 - 文章
AN - SCOPUS:85195965485
SN - 1557-2064
VL - 25
JO - Sensing and Imaging
JF - Sensing and Imaging
IS - 1
M1 - 34
ER -