Current Density Imaging During Transcranial Direct Current Stimulation Using DT-MRI and MREIT: Algorithm Development and Numerical Simulations

• Published in: IEEE transactions on biomedical engineering Vol. 63; no. 1; pp. 168 - 175
• Main Authors: Kwon, Oh In, Sajib, Saurav Z. K., Sersa, Igor, Oh, Tong In, Jeong, Woo Chul, Kim, Hyung Joong, Woo, Eung Je
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.01.2016; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adult; Algorithms; Computer Simulation; Conductivity; conductivity tensor; Current density; Density; diffusion tensor; Direct current; Electric Impedance; Electrodes; Female; Finite element analysis; Fluctuations; Head; Head - physiology; Humans; Image reconstruction; Imaging; Imaging, Three-Dimensional - methods; Magnetic flux; magnetic flux density; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Magnetism; Mathematical models; MREIT; Stimulation; tDCS; Tensile stress; Transcranial Direct Current Stimulation - methods; magnetic resonance electrical impedance tomography (MREIT); magnetic flux density; Conductivity tensor; diffusion tensor; transcranial direct current stimulation (tDCS); current density
• DOI: 10.1109/TBME.2015.2448555
• ISSN: 0018-9294; 1558-2531

Objective: Transcranial direct current stimulation (tDCS) is a neuromodulatory technique for neuropsychiatric diseases and neurological disorders. In the tDCS treatment, dc current is injected into the head through a pair of electrodes attached on the scalp over a target region. A current density imaging method is needed to quantitatively visualize the internal current density distribution during the tDCS treatment. Methods: We developed a novel current density image reconstruction algorithm using 1) a subject specific segmented 3-D head model, 2) diffusion tensor data, and 3) magnetic flux density data induced by the tDCS current. We acquired T 1 weighted and diffusion tensor images of the head using the MRI scanner before the treatment. During the treatment, we can measure the induced magnetic flux density data using a magnetic resonance electrical impedance tomography (MREIT) pulse sequence. In this paper, the magnetic flux density data were numerically generated. Results: Numerical simulation results show that the proposed method successfully recovers the current density distribution including the effects of the anisotropic, as well as isotropic conductivity values of different tissues in the head. Conclusion: The proposed current density imaging method using DT-MRI and MREIT can reliably recover cross-sectional images of the current density distribution during the tDCS treatment. Significance: Success of the tDCS treatment depends on a precise determination of the induced current density distribution within different anatomical structures of the brain. Quantitative visualization of the current density distribution in the brain will play an important role in understanding the effects of the electrical stimulation.